diff --git a/CHANGELOG.md b/CHANGELOG.md index 979ee99a0d..e902d752a9 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,26 @@ Changelog ========= +## [v14.1.0] - 2023-05-26 +### :boom: BREAKING CHANGES +- due to [`a6fdd59`](https://github.com/tobymao/sqlglot/commit/a6fdd59986a293be5b272a6e8f50f53482ddfd46) - improve python type hints *(PR [#1689](https://github.com/tobymao/sqlglot/pull/1689) by [@GeorgeSittas](https://github.com/GeorgeSittas))*: + + improve python type hints (#1689) + + +### :bug: Bug Fixes +- [`964b04c`](https://github.com/tobymao/sqlglot/commit/964b04cf16cf5695008b697e2bde5e191a654877) - allow optimizer to handle non unionables *(commit by [@tobymao](https://github.com/tobymao))* +- [`7771609`](https://github.com/tobymao/sqlglot/commit/7771609202d6a53186ba02dd7f657bad6577c5e8) - redshift type *(commit by [@tobymao](https://github.com/tobymao))* +- [`543b565`](https://github.com/tobymao/sqlglot/commit/543b565a80915a3dd47b991779ed7d3e9c2bc81c) - raw strings bigquery escape closes [#1691](https://github.com/tobymao/sqlglot/pull/1691) *(PR [#1694](https://github.com/tobymao/sqlglot/pull/1694) by [@tobymao](https://github.com/tobymao))* +- [`fbf5f47`](https://github.com/tobymao/sqlglot/commit/fbf5f472fffa79538d1a58bfd1c1562796bafc4d) - create index with order closes [#1692](https://github.com/tobymao/sqlglot/pull/1692) *(commit by [@tobymao](https://github.com/tobymao))* +- [`8465a77`](https://github.com/tobymao/sqlglot/commit/8465a777aa81c44625fdc2540797ae6615cb6edc) - **clickhouse**: allow aliases in tuple function arguments *(PR [#1695](https://github.com/tobymao/sqlglot/pull/1695) by [@GeorgeSittas](https://github.com/GeorgeSittas))* + - :arrow_lower_right: *fixes issue [#1690](undefined) opened by [@cpcloud](https://github.com/cpcloud)* + +### :wrench: Chores +- [`a6fdd59`](https://github.com/tobymao/sqlglot/commit/a6fdd59986a293be5b272a6e8f50f53482ddfd46) - improve python type hints *(PR [#1689](https://github.com/tobymao/sqlglot/pull/1689) by [@GeorgeSittas](https://github.com/GeorgeSittas))* +- [`6cce5fc`](https://github.com/tobymao/sqlglot/commit/6cce5fc7d216d2bf428324998aac171a8acd8564) - make bigquery hex less lenient *(commit by [@tobymao](https://github.com/tobymao))* + + ## [v14.0.0] - 2023-05-24 ### :boom: BREAKING CHANGES - due to [`267ea8f`](https://github.com/tobymao/sqlglot/commit/267ea8f494101db85def27672b2c5cdb7024c7d9) - cleanup unnecessary tokens *(PR [#1688](https://github.com/tobymao/sqlglot/pull/1688) by [@tobymao](https://github.com/tobymao))*: @@ -300,4 +320,5 @@ Changelog [v13.2.2]: https://github.com/tobymao/sqlglot/compare/v13.2.1...v13.2.2 [v13.3.0]: https://github.com/tobymao/sqlglot/compare/v13.2.2...v13.3.0 [v13.3.1]: https://github.com/tobymao/sqlglot/compare/v13.3.0...v13.3.1 -[v14.0.0]: https://github.com/tobymao/sqlglot/compare/v13.3.1...v14.0.0 \ No newline at end of file +[v14.0.0]: https://github.com/tobymao/sqlglot/compare/v13.3.1...v14.0.0 +[v14.1.0]: https://github.com/tobymao/sqlglot/compare/show...v14.1.0 \ No newline at end of file diff --git a/docs/search.js b/docs/search.js index db3619fda1..2df0581b36 100644 --- a/docs/search.js +++ b/docs/search.js @@ -1,6 +1,6 @@ window.pdocSearch = (function(){ /** elasticlunr - http://weixsong.github.io * Copyright (C) 2017 Oliver Nightingale * Copyright (C) 2017 Wei Song * MIT Licensed */!function(){function e(e){if(null===e||"object"!=typeof e)return e;var t=e.constructor();for(var n in e)e.hasOwnProperty(n)&&(t[n]=e[n]);return t}var t=function(e){var n=new t.Index;return n.pipeline.add(t.trimmer,t.stopWordFilter,t.stemmer),e&&e.call(n,n),n};t.version="0.9.5",lunr=t,t.utils={},t.utils.warn=function(e){return function(t){e.console&&console.warn&&console.warn(t)}}(this),t.utils.toString=function(e){return void 0===e||null===e?"":e.toString()},t.EventEmitter=function(){this.events={}},t.EventEmitter.prototype.addListener=function(){var e=Array.prototype.slice.call(arguments),t=e.pop(),n=e;if("function"!=typeof t)throw new TypeError("last argument must be a function");n.forEach(function(e){this.hasHandler(e)||(this.events[e]=[]),this.events[e].push(t)},this)},t.EventEmitter.prototype.removeListener=function(e,t){if(this.hasHandler(e)){var n=this.events[e].indexOf(t);-1!==n&&(this.events[e].splice(n,1),0==this.events[e].length&&delete this.events[e])}},t.EventEmitter.prototype.emit=function(e){if(this.hasHandler(e)){var t=Array.prototype.slice.call(arguments,1);this.events[e].forEach(function(e){e.apply(void 0,t)},this)}},t.EventEmitter.prototype.hasHandler=function(e){return e in this.events},t.tokenizer=function(e){if(!arguments.length||null===e||void 0===e)return[];if(Array.isArray(e)){var n=e.filter(function(e){return null===e||void 0===e?!1:!0});n=n.map(function(e){return t.utils.toString(e).toLowerCase()});var i=[];return n.forEach(function(e){var n=e.split(t.tokenizer.seperator);i=i.concat(n)},this),i}return e.toString().trim().toLowerCase().split(t.tokenizer.seperator)},t.tokenizer.defaultSeperator=/[\s\-]+/,t.tokenizer.seperator=t.tokenizer.defaultSeperator,t.tokenizer.setSeperator=function(e){null!==e&&void 0!==e&&"object"==typeof e&&(t.tokenizer.seperator=e)},t.tokenizer.resetSeperator=function(){t.tokenizer.seperator=t.tokenizer.defaultSeperator},t.tokenizer.getSeperator=function(){return t.tokenizer.seperator},t.Pipeline=function(){this._queue=[]},t.Pipeline.registeredFunctions={},t.Pipeline.registerFunction=function(e,n){n in t.Pipeline.registeredFunctions&&t.utils.warn("Overwriting existing registered function: "+n),e.label=n,t.Pipeline.registeredFunctions[n]=e},t.Pipeline.getRegisteredFunction=function(e){return e in t.Pipeline.registeredFunctions!=!0?null:t.Pipeline.registeredFunctions[e]},t.Pipeline.warnIfFunctionNotRegistered=function(e){var n=e.label&&e.label in this.registeredFunctions;n||t.utils.warn("Function is not registered with pipeline. This may cause problems when serialising the index.\n",e)},t.Pipeline.load=function(e){var n=new t.Pipeline;return e.forEach(function(e){var i=t.Pipeline.getRegisteredFunction(e);if(!i)throw new Error("Cannot load un-registered function: "+e);n.add(i)}),n},t.Pipeline.prototype.add=function(){var e=Array.prototype.slice.call(arguments);e.forEach(function(e){t.Pipeline.warnIfFunctionNotRegistered(e),this._queue.push(e)},this)},t.Pipeline.prototype.after=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i+1,0,n)},t.Pipeline.prototype.before=function(e,n){t.Pipeline.warnIfFunctionNotRegistered(n);var i=this._queue.indexOf(e);if(-1===i)throw new Error("Cannot find existingFn");this._queue.splice(i,0,n)},t.Pipeline.prototype.remove=function(e){var t=this._queue.indexOf(e);-1!==t&&this._queue.splice(t,1)},t.Pipeline.prototype.run=function(e){for(var t=[],n=e.length,i=this._queue.length,o=0;n>o;o++){for(var r=e[o],s=0;i>s&&(r=this._queue[s](r,o,e),void 0!==r&&null!==r);s++);void 0!==r&&null!==r&&t.push(r)}return t},t.Pipeline.prototype.reset=function(){this._queue=[]},t.Pipeline.prototype.get=function(){return this._queue},t.Pipeline.prototype.toJSON=function(){return this._queue.map(function(e){return t.Pipeline.warnIfFunctionNotRegistered(e),e.label})},t.Index=function(){this._fields=[],this._ref="id",this.pipeline=new t.Pipeline,this.documentStore=new t.DocumentStore,this.index={},this.eventEmitter=new t.EventEmitter,this._idfCache={},this.on("add","remove","update",function(){this._idfCache={}}.bind(this))},t.Index.prototype.on=function(){var e=Array.prototype.slice.call(arguments);return this.eventEmitter.addListener.apply(this.eventEmitter,e)},t.Index.prototype.off=function(e,t){return this.eventEmitter.removeListener(e,t)},t.Index.load=function(e){e.version!==t.version&&t.utils.warn("version mismatch: current "+t.version+" importing "+e.version);var n=new this;n._fields=e.fields,n._ref=e.ref,n.documentStore=t.DocumentStore.load(e.documentStore),n.pipeline=t.Pipeline.load(e.pipeline),n.index={};for(var i in e.index)n.index[i]=t.InvertedIndex.load(e.index[i]);return n},t.Index.prototype.addField=function(e){return this._fields.push(e),this.index[e]=new t.InvertedIndex,this},t.Index.prototype.setRef=function(e){return this._ref=e,this},t.Index.prototype.saveDocument=function(e){return this.documentStore=new t.DocumentStore(e),this},t.Index.prototype.addDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.addDoc(i,e),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));this.documentStore.addFieldLength(i,n,o.length);var r={};o.forEach(function(e){e in r?r[e]+=1:r[e]=1},this);for(var s in r){var u=r[s];u=Math.sqrt(u),this.index[n].addToken(s,{ref:i,tf:u})}},this),n&&this.eventEmitter.emit("add",e,this)}},t.Index.prototype.removeDocByRef=function(e){if(e&&this.documentStore.isDocStored()!==!1&&this.documentStore.hasDoc(e)){var t=this.documentStore.getDoc(e);this.removeDoc(t,!1)}},t.Index.prototype.removeDoc=function(e,n){if(e){var n=void 0===n?!0:n,i=e[this._ref];this.documentStore.hasDoc(i)&&(this.documentStore.removeDoc(i),this._fields.forEach(function(n){var o=this.pipeline.run(t.tokenizer(e[n]));o.forEach(function(e){this.index[n].removeToken(e,i)},this)},this),n&&this.eventEmitter.emit("remove",e,this))}},t.Index.prototype.updateDoc=function(e,t){var t=void 0===t?!0:t;this.removeDocByRef(e[this._ref],!1),this.addDoc(e,!1),t&&this.eventEmitter.emit("update",e,this)},t.Index.prototype.idf=function(e,t){var n="@"+t+"/"+e;if(Object.prototype.hasOwnProperty.call(this._idfCache,n))return this._idfCache[n];var i=this.index[t].getDocFreq(e),o=1+Math.log(this.documentStore.length/(i+1));return this._idfCache[n]=o,o},t.Index.prototype.getFields=function(){return this._fields.slice()},t.Index.prototype.search=function(e,n){if(!e)return[];e="string"==typeof e?{any:e}:JSON.parse(JSON.stringify(e));var i=null;null!=n&&(i=JSON.stringify(n));for(var o=new t.Configuration(i,this.getFields()).get(),r={},s=Object.keys(e),u=0;u0&&t.push(e);for(var i in n)"docs"!==i&&"df"!==i&&this.expandToken(e+i,t,n[i]);return t},t.InvertedIndex.prototype.toJSON=function(){return{root:this.root}},t.Configuration=function(e,n){var e=e||"";if(void 0==n||null==n)throw new Error("fields should not be null");this.config={};var i;try{i=JSON.parse(e),this.buildUserConfig(i,n)}catch(o){t.utils.warn("user configuration parse failed, will use default configuration"),this.buildDefaultConfig(n)}},t.Configuration.prototype.buildDefaultConfig=function(e){this.reset(),e.forEach(function(e){this.config[e]={boost:1,bool:"OR",expand:!1}},this)},t.Configuration.prototype.buildUserConfig=function(e,n){var i="OR",o=!1;if(this.reset(),"bool"in e&&(i=e.bool||i),"expand"in e&&(o=e.expand||o),"fields"in e)for(var r in e.fields)if(n.indexOf(r)>-1){var s=e.fields[r],u=o;void 0!=s.expand&&(u=s.expand),this.config[r]={boost:s.boost||0===s.boost?s.boost:1,bool:s.bool||i,expand:u}}else t.utils.warn("field name in user configuration not found in index instance fields");else this.addAllFields2UserConfig(i,o,n)},t.Configuration.prototype.addAllFields2UserConfig=function(e,t,n){n.forEach(function(n){this.config[n]={boost:1,bool:e,expand:t}},this)},t.Configuration.prototype.get=function(){return this.config},t.Configuration.prototype.reset=function(){this.config={}},lunr.SortedSet=function(){this.length=0,this.elements=[]},lunr.SortedSet.load=function(e){var t=new this;return t.elements=e,t.length=e.length,t},lunr.SortedSet.prototype.add=function(){var e,t;for(e=0;e1;){if(r===e)return o;e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o]}return r===e?o:-1},lunr.SortedSet.prototype.locationFor=function(e){for(var t=0,n=this.elements.length,i=n-t,o=t+Math.floor(i/2),r=this.elements[o];i>1;)e>r&&(t=o),r>e&&(n=o),i=n-t,o=t+Math.floor(i/2),r=this.elements[o];return r>e?o:e>r?o+1:void 0},lunr.SortedSet.prototype.intersect=function(e){for(var t=new lunr.SortedSet,n=0,i=0,o=this.length,r=e.length,s=this.elements,u=e.elements;;){if(n>o-1||i>r-1)break;s[n]!==u[i]?s[n]u[i]&&i++:(t.add(s[n]),n++,i++)}return t},lunr.SortedSet.prototype.clone=function(){var e=new lunr.SortedSet;return e.elements=this.toArray(),e.length=e.elements.length,e},lunr.SortedSet.prototype.union=function(e){var t,n,i;this.length>=e.length?(t=this,n=e):(t=e,n=this),i=t.clone();for(var o=0,r=n.toArray();o\"SQLGlot

\n\n

SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically correct SQL in the targeted dialects.

\n\n

It is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python.

\n\n

You can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL.

\n\n

Syntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot\u2019s goal, so some syntax errors may go unnoticed.

\n\n

Contributions are very welcome in SQLGlot; read the contribution guide to get started!

\n\n

Table of Contents

\n\n\n\n

Install

\n\n

From PyPI:

\n\n
pip3 install sqlglot\n
\n\n

Or with a local checkout:

\n\n
make install\n
\n\n

Requirements for development (optional):

\n\n
make install-dev\n
\n\n

Versioning

\n\n

Given a version number MAJOR.MINOR.PATCH, SQLGlot uses the following versioning strategy:

\n\n
    \n
  • The PATCH version is incremented when there are backwards-compatible fixes or feature additions.
    • \n
  • The MINOR version is incremented when there are backwards-incompatible fixes or feature additions.
    • \n
  • The MAJOR version is incremented when there are significant backwards-incompatible fixes or feature additions.
    • \n
\n\n

Get in Touch

\n\n

We'd love to hear from you. Join our community Slack channel!

\n\n

Examples

\n\n

Formatting and Transpiling

\n\n

Easily translate from one dialect to another. For example, date/time functions vary from dialects and can be hard to deal with:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
\n
\n\n

SQLGlot can even translate custom time formats:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT STRFTIME(x, '%y-%-m-%S')", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
"SELECT DATE_FORMAT(x, 'yy-M-ss')"\n
\n
\n\n

As another example, let's suppose that we want to read in a SQL query that contains a CTE and a cast to REAL, and then transpile it to Spark, which uses backticks for identifiers and FLOAT instead of REAL:

\n\n
\n
import sqlglot\n\nsql = """WITH baz AS (SELECT a, c FROM foo WHERE a = 1) SELECT f.a, b.b, baz.c, CAST("b"."a" AS REAL) d FROM foo f JOIN bar b ON f.a = b.a LEFT JOIN baz ON f.a = baz.a"""\nprint(sqlglot.transpile(sql, write="spark", identify=True, pretty=True)[0])\n
\n
\n\n
\n
WITH `baz` AS (\n  SELECT\n    `a`,\n    `c`\n  FROM `foo`\n  WHERE\n    `a` = 1\n)\nSELECT\n  `f`.`a`,\n  `b`.`b`,\n  `baz`.`c`,\n  CAST(`b`.`a` AS FLOAT) AS `d`\nFROM `foo` AS `f`\nJOIN `bar` AS `b`\n  ON `f`.`a` = `b`.`a`\nLEFT JOIN `baz`\n  ON `f`.`a` = `baz`.`a`\n
\n
\n\n

Comments are also preserved in a best-effort basis when transpiling SQL code:

\n\n
\n
sql = """\n/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), # comment 3\n  y               -- comment 4\nFROM\n  bar /* comment 5 */,\n  tbl #          comment 6\n"""\n\nprint(sqlglot.transpile(sql, read='mysql', pretty=True)[0])\n
\n
\n\n
\n
/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), /* comment 3 */\n  y /* comment 4 */\nFROM bar /* comment 5 */, tbl /*          comment 6 */\n
\n
\n\n

Metadata

\n\n

You can explore SQL with expression helpers to do things like find columns and tables:

\n\n
\n
from sqlglot import parse_one, exp\n\n# print all column references (a and b)\nfor column in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Column):\n    print(column.alias_or_name)\n\n# find all projections in select statements (a and c)\nfor select in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Select):\n    for projection in select.expressions:\n        print(projection.alias_or_name)\n\n# find all tables (x, y, z)\nfor table in parse_one("SELECT * FROM x JOIN y JOIN z").find_all(exp.Table):\n    print(table.name)\n
\n
\n\n

Parser Errors

\n\n

When the parser detects an error in the syntax, it raises a ParserError:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n
\n
\n\n
sqlglot.errors.ParseError: Expecting ). Line 1, Col: 13.\n  select foo( FROM bar\n              ~~~~\n
\n\n

Structured syntax errors are accessible for programmatic use:

\n\n
\n
import sqlglot\ntry:\n    sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n    print(e.errors)\n
\n
\n\n
\n
[{\n  'description': 'Expecting )',\n  'line': 1,\n  'col': 13,\n  'start_context': 'SELECT foo( ',\n  'highlight': 'FROM',\n  'end_context': ' bar'\n}]\n
\n
\n\n

Unsupported Errors

\n\n

Presto APPROX_DISTINCT supports the accuracy argument which is not supported in Hive:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n
\n
\n\n
\n
APPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n
\n
\n\n

Build and Modify SQL

\n\n

SQLGlot supports incrementally building sql expressions:

\n\n
\n
from sqlglot import select, condition\n\nwhere = condition("x=1").and_("y=1")\nselect("*").from_("y").where(where).sql()\n
\n
\n\n
\n
'SELECT * FROM y WHERE x = 1 AND y = 1'\n
\n
\n\n

You can also modify a parsed tree:

\n\n
\n
from sqlglot import parse_one\nparse_one("SELECT x FROM y").from_("z").sql()\n
\n
\n\n
\n
'SELECT x FROM y, z'\n
\n
\n\n

There is also a way to recursively transform the parsed tree by applying a mapping function to each tree node:

\n\n
\n
from sqlglot import exp, parse_one\n\nexpression_tree = parse_one("SELECT a FROM x")\n\ndef transformer(node):\n    if isinstance(node, exp.Column) and node.name == "a":\n        return parse_one("FUN(a)")\n    return node\n\ntransformed_tree = expression_tree.transform(transformer)\ntransformed_tree.sql()\n
\n
\n\n
\n
'SELECT FUN(a) FROM x'\n
\n
\n\n

SQL Optimizer

\n\n

SQLGlot can rewrite queries into an \"optimized\" form. It performs a variety of techniques to create a new canonical AST. This AST can be used to standardize queries or provide the foundations for implementing an actual engine. For example:

\n\n
\n
import sqlglot\nfrom sqlglot.optimizer import optimize\n\nprint(\n    optimize(\n        sqlglot.parse_one("""\n            SELECT A OR (B OR (C AND D))\n            FROM x\n            WHERE Z = date '2021-01-01' + INTERVAL '1' month OR 1 = 0\n        """),\n        schema={"x": {"A": "INT", "B": "INT", "C": "INT", "D": "INT", "Z": "STRING"}}\n    ).sql(pretty=True)\n)\n
\n
\n\n
\n
SELECT\n  (\n    "x"."a" <> 0 OR "x"."b" <> 0 OR "x"."c" <> 0\n  )\n  AND (\n    "x"."a" <> 0 OR "x"."b" <> 0 OR "x"."d" <> 0\n  ) AS "_col_0"\nFROM "x" AS "x"\nWHERE\n  CAST("x"."z" AS DATE) = CAST('2021-02-01' AS DATE)\n
\n
\n\n

AST Introspection

\n\n

You can see the AST version of the sql by calling repr:

\n\n
\n
from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n
\n
\n\n
\n
(SELECT expressions:\n  (ALIAS this:\n    (ADD this:\n      (COLUMN this:\n        (IDENTIFIER this: a, quoted: False)), expression:\n      (LITERAL this: 1, is_string: False)), alias:\n    (IDENTIFIER this: z, quoted: False)))\n
\n
\n\n

AST Diff

\n\n

SQLGlot can calculate the difference between two expressions and output changes in a form of a sequence of actions needed to transform a source expression into a target one:

\n\n
\n
from sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n
\n
\n\n
\n
[\n  Remove(expression=(ADD this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Insert(expression=(SUB this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Move(expression=(COLUMN this:\n    (IDENTIFIER this: c, quoted: False))),\n  Keep(source=(IDENTIFIER this: b, quoted: False), target=(IDENTIFIER this: b, quoted: False)),\n  ...\n]\n
\n
\n\n

See also: Semantic Diff for SQL.

\n\n

Custom Dialects

\n\n

Dialects can be added by subclassing Dialect:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n\nprint(Dialect["custom"])\n
\n
\n\n
<class '__main__.Custom'>\n
\n\n

SQL Execution

\n\n

One can even interpret SQL queries using SQLGlot, where the tables are represented as Python dictionaries. Although the engine is not very fast (it's not supposed to be) and is in a relatively early stage of development, it can be useful for unit testing and running SQL natively across Python objects. Additionally, the foundation can be easily integrated with fast compute kernels (arrow, pandas). Below is an example showcasing the execution of a SELECT expression that involves aggregations and JOINs:

\n\n
\n
from sqlglot.executor import execute\n\ntables = {\n    "sushi": [\n        {"id": 1, "price": 1.0},\n        {"id": 2, "price": 2.0},\n        {"id": 3, "price": 3.0},\n    ],\n    "order_items": [\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 2, "order_id": 1},\n        {"sushi_id": 3, "order_id": 2},\n    ],\n    "orders": [\n        {"id": 1, "user_id": 1},\n        {"id": 2, "user_id": 2},\n    ],\n}\n\nexecute(\n    """\n    SELECT\n      o.user_id,\n      SUM(s.price) AS price\n    FROM orders o\n    JOIN order_items i\n      ON o.id = i.order_id\n    JOIN sushi s\n      ON i.sushi_id = s.id\n    GROUP BY o.user_id\n    """,\n    tables=tables\n)\n
\n
\n\n
\n
user_id price\n      1   4.0\n      2   3.0\n
\n
\n\n

See also: Writing a Python SQL engine from scratch.

\n\n

Used By

\n\n\n\n

Documentation

\n\n

SQLGlot uses pdoc to serve its API documentation:

\n\n
make docs-serve\n
\n\n

Run Tests and Lint

\n\n
make check  # Set SKIP_INTEGRATION=1 to skip integration tests\n
\n\n

Benchmarks

\n\n

Benchmarks run on Python 3.10.5 in seconds.

\n\n\n\n\n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n
Querysqlglotsqlfluffsqltreesqlparsemoz_sql_parsersqloxide
tpch0.01308 (1.0)1.60626 (122.7)0.01168 (0.893)0.04958 (3.791)0.08543 (6.531)0.00136 (0.104)
short0.00109 (1.0)0.14134 (129.2)0.00099 (0.906)0.00342 (3.131)0.00652 (5.970)8.76E-5 (0.080)
long0.01399 (1.0)2.12632 (151.9)0.01126 (0.805)0.04410 (3.151)0.06671 (4.767)0.00107 (0.076)
crazy0.03969 (1.0)24.3777 (614.1)0.03917 (0.987)11.7043 (294.8)1.03280 (26.02)0.00625 (0.157)
\n\n

Optional Dependencies

\n\n

SQLGlot uses dateutil to simplify literal timedelta expressions. The optimizer will not simplify expressions like the following if the module cannot be found:

\n\n
\n
x + interval '1' month\n
\n
\n\n
\n"}, "sqlglot.pretty": {"fullname": "sqlglot.pretty", "modulename": "sqlglot", "qualname": "pretty", "kind": "variable", "doc": "

Whether to format generated SQL by default.

\n", "default_value": "False"}, "sqlglot.schema": {"fullname": "sqlglot.schema", "modulename": "sqlglot.schema", "kind": "module", "doc": "

\n"}, "sqlglot.parse": {"fullname": "sqlglot.parse", "modulename": "sqlglot", "qualname": "parse", "kind": "function", "doc": "

Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • **opts: other sqlglot.parser.Parser options.
    • \n
\n\n
Returns:
\n\n
\n

The resulting syntax tree collection.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parse_one": {"fullname": "sqlglot.parse_one", "modulename": "sqlglot", "qualname": "parse_one", "kind": "function", "doc": "

Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • into: the SQLGlot Expression to parse into.
    • \n
  • **opts: other sqlglot.parser.Parser options.
    • \n
\n\n
Returns:
\n\n
\n

The syntax tree for the first parsed statement.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transpile": {"fullname": "sqlglot.transpile", "modulename": "sqlglot", "qualname": "transpile", "kind": "function", "doc": "

Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed\nto conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to transpile.
    • \n
  • read: the source dialect used to parse the input string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • write: the target dialect into which the input should be transformed (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • identity: if set to True and if the target dialect is not specified the source dialect will be used as both:\nthe source and the target dialect.
    • \n
  • error_level: the desired error level of the parser.
    • \n
  • **opts: other sqlglot.generator.Generator options.
    • \n
\n\n
Returns:
\n\n
\n

The list of transpiled SQL statements.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\twrite: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentity: bool = True,\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\t**opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe": {"fullname": "sqlglot.dataframe", "modulename": "sqlglot.dataframe", "kind": "module", "doc": "

PySpark DataFrame SQL Generator

\n\n

This is a drop-in replacement for the PySpark DataFrame API that will generate SQL instead of executing DataFrame operations directly. This, when combined with the transpiling support in SQLGlot, allows one to write PySpark DataFrame code and execute it on other engines like DuckDB, Presto, Spark, Snowflake, and BigQuery.

\n\n

Currently many of the common operations are covered and more functionality will be added over time. Please open an issue or PR with your feedback or contribution to help influence what should be prioritized next and make sure your use case is properly supported.

\n\n

How to use

\n\n

Instructions

\n\n
    \n
  • Install SQLGlot and that is all that is required to just generate SQL. The examples show generating SQL and then executing that SQL on a specific engine and that will require that engine's client library.
    • \n
  • Find/replace all from pyspark.sql with from sqlglot.dataframe.
    • \n
  • Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('<table_name>', <column_structure>).\n
      \n
    • The column structure can be defined the following ways:\n
        \n
      • Dictionary where the keys are column names and values are string of the Spark SQL type name.\n
          \n
        • Ex: {'cola': 'string', 'colb': 'int'}
          • \n
        • \n
      • PySpark DataFrame StructType similar to when using createDataFrame.\n
          \n
        • Ex: StructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
          • \n
        • \n
      • A string of names and types similar to what is supported in createDataFrame.\n
          \n
        • Ex: cola: STRING, colb: INT
          • \n
        • \n
      • [Not Recommended] A list of string column names without type.\n
          \n
        • Ex: ['cola', 'colb']
          • \n
        • The lack of types may limit functionality in future releases.
          • \n
        • \n
      • \n
    • See Registering Custom Schema for information on how to skip this step if the information is stored externally.
      • \n
    • \n
  • Add .sql(pretty=True) to your final DataFrame command to return a list of sql statements to run that command.\n
      \n
    • In most cases a single SQL statement is returned. Currently the only exception is when caching DataFrames which isn't supported in other dialects.
      • \n
    • Spark is the default output dialect. See dialects for a full list of dialects.
      • \n
    • Ex: .sql(pretty=True, dialect='bigquery')
      • \n
    • \n
\n\n

Examples

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\n\nsqlglot.schema.add_table('employee', {\n  'employee_id': 'INT',\n  'fname': 'STRING',\n  'lname': 'STRING',\n  'age': 'INT',\n})  # Register the table structure prior to reading from the table\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))  # Spark will be the dialect used by default\n
\n
\n\n
SELECT\n  `employee`.`age` AS `age`,\n  COUNT(DISTINCT `employee`.`employee_id`) AS `num_employees`\nFROM `employee` AS `employee`\nGROUP BY\n  `employee`.`age`\n
\n\n

Registering Custom Schema Class

\n\n

The step of adding sqlglot.schema.add_table can be skipped if you have the column structure stored externally like in a file or from an external metadata table. This can be done by writing a class that implements the sqlglot.schema.Schema abstract class and then assigning that class to sqlglot.schema.

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\nfrom sqlglot.schema import Schema\n\n\nclass ExternalSchema(Schema):\n  ...\n\nsqlglot.schema = ExternalSchema()\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))\n
\n
\n\n

Example Implementations

\n\n

Bigquery

\n\n
\n
from google.cloud import bigquery\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\nclient = bigquery.Client()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="bigquery")\n)\n\nresult = None\nfor sql in sql_statements:\n  result = client.query(sql)\n\nassert result is not None\nfor row in client.query(result):\n    print(f"Age: {row['age']}, Num Employees: {row['num_employees']}")\n
\n
\n\n

Snowflake

\n\n
\n
import os\n\nimport snowflake.connector\nfrom sqlglot.dataframe.session import SparkSession\nfrom sqlglot.dataframe import types\nfrom sqlglot.dataframe import functions as F\n\nctx = snowflake.connector.connect(\n    user=os.environ["SNOWFLAKE_USER"],\n    password=os.environ["SNOWFLAKE_PASS"],\n    account=os.environ["SNOWFLAKE_ACCOUNT"]\n)\ncs = ctx.cursor()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("lname")).alias("num_employees"))\n    .sql(dialect="snowflake")\n)\n\ntry:\n    for sql in sql_statements:\n        cs.execute(sql)\n    results = cs.fetchall()\n    for row in results:\n        print(f"Age: {row[0]}, Num Employees: {row[1]}")\nfinally:\n    cs.close()\nctx.close()\n
\n
\n\n

Spark

\n\n
\n
from pyspark.sql.session import SparkSession as PySparkSession\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="spark")\n)\n\npyspark = PySparkSession.builder.master("local[*]").getOrCreate()\n\ndf = None\nfor sql in sql_statements:\n    df = pyspark.sql(sql)\n\nassert df is not None\ndf.show()\n
\n
\n\n

Unsupportable Operations

\n\n

Any operation that lacks a way to represent it in SQL cannot be supported by this tool. An example of this would be rdd operations. Since the DataFrame API though is mostly modeled around SQL concepts most operations can be supported.

\n"}, "sqlglot.dataframe.sql": {"fullname": "sqlglot.dataframe.sql", "modulename": "sqlglot.dataframe.sql", "kind": "module", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession": {"fullname": "sqlglot.dataframe.sql.SparkSession", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession.table": {"fullname": "sqlglot.dataframe.sql.SparkSession.table", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"fullname": "sqlglot.dataframe.sql.SparkSession.createDataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.createDataFrame", "kind": "function", "doc": "

\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='139671827690976'>], List[<MagicMock id='139671827690976'>], Tuple]],\tschema: Optional[<MagicMock id='139671840984608'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "

\n", "signature": "(self, sqlQuery: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame": {"fullname": "sqlglot.dataframe.sql.DataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrame.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrame.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.__init__", "kind": "function", "doc": "

\n", "signature": "(\tspark: <MagicMock id='139671831764400'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='139671830530368'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "

\n", "signature": "(self, dialect='spark', optimize=True, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.copy": {"fullname": "sqlglot.dataframe.sql.DataFrame.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.select": {"fullname": "sqlglot.dataframe.sql.DataFrame.select", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.select", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.alias": {"fullname": "sqlglot.dataframe.sql.DataFrame.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.where": {"fullname": "sqlglot.dataframe.sql.DataFrame.where", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.where", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.filter": {"fullname": "sqlglot.dataframe.sql.DataFrame.filter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.filter", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.groupBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.groupBy", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.group.GroupedData:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.agg": {"fullname": "sqlglot.dataframe.sql.DataFrame.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.agg", "kind": "function", "doc": "

\n", "signature": "(self, *exprs, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.join": {"fullname": "sqlglot.dataframe.sql.DataFrame.join", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.join", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother_df: sqlglot.dataframe.sql.dataframe.DataFrame,\ton: Union[str, List[str], sqlglot.dataframe.sql.column.Column, List[sqlglot.dataframe.sql.column.Column]],\thow: str = 'inner',\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.orderBy", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.sort": {"fullname": "sqlglot.dataframe.sql.DataFrame.sort", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sort", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.union": {"fullname": "sqlglot.dataframe.sql.DataFrame.union", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.union", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionByName", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionByName", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame,\tallowMissingColumns: bool = False):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersect": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersect", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersect", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersectAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersectAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.exceptAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.exceptAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.distinct": {"fullname": "sqlglot.dataframe.sql.DataFrame.distinct", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.distinct", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropDuplicates", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropDuplicates", "kind": "function", "doc": "

\n", "signature": "(self, subset: Optional[List[str]] = None):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropna": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropna", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.fillna": {"fullname": "sqlglot.dataframe.sql.DataFrame.fillna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.fillna", "kind": "function", "doc": "

Functionality Difference: If you provide a value to replace a null and that type conflicts\nwith the type of the column then PySpark will just ignore your replacement.\nThis will try to cast them to be the same in some cases. So they won't always match.\nBest to not mix types so make sure replacement is the same type as the column

\n\n

Possibility for improvement: Use typeof function to get the type of the column\nand check if it matches the type of the value provided. If not then make it null.

\n", "signature": "(\tself,\tvalue: <MagicMock id='139671826015632'>,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.replace": {"fullname": "sqlglot.dataframe.sql.DataFrame.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[Collection[<MagicMock id='139671826444688'>], <MagicMock id='139671826444688'>, NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumn", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumn", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolName: str,\tcol: sqlglot.dataframe.sql.column.Column) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumnRenamed", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumnRenamed", "kind": "function", "doc": "

\n", "signature": "(self, existing: str, new: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.drop": {"fullname": "sqlglot.dataframe.sql.DataFrame.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.limit": {"fullname": "sqlglot.dataframe.sql.DataFrame.limit", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.limit", "kind": "function", "doc": "

\n", "signature": "(self, num: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.hint": {"fullname": "sqlglot.dataframe.sql.DataFrame.hint", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.hint", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*parameters: Union[str, int, NoneType]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.repartition": {"fullname": "sqlglot.dataframe.sql.DataFrame.repartition", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.repartition", "kind": "function", "doc": "

\n", "signature": "(\tself,\tnumPartitions: Union[int, <MagicMock id='139671826616032'>],\t*cols: <MagicMock id='139671825890416'>) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"fullname": "sqlglot.dataframe.sql.DataFrame.coalesce", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.coalesce", "kind": "function", "doc": "

\n", "signature": "(self, numPartitions: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.cache": {"fullname": "sqlglot.dataframe.sql.DataFrame.cache", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.cache", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.persist": {"fullname": "sqlglot.dataframe.sql.DataFrame.persist", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.persist", "kind": "function", "doc": "

Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html

\n", "signature": "(\tself,\tstorageLevel: str = 'MEMORY_AND_DISK_SER') -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData": {"fullname": "sqlglot.dataframe.sql.GroupedData", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.GroupedData.__init__": {"fullname": "sqlglot.dataframe.sql.GroupedData.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tgroup_by_cols: List[sqlglot.dataframe.sql.column.Column],\tlast_op: sqlglot.dataframe.sql.operations.Operation)"}, "sqlglot.dataframe.sql.GroupedData.agg": {"fullname": "sqlglot.dataframe.sql.GroupedData.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.agg", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*exprs: Union[sqlglot.dataframe.sql.column.Column, Dict[str, str]]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.count": {"fullname": "sqlglot.dataframe.sql.GroupedData.count", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.count", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.mean": {"fullname": "sqlglot.dataframe.sql.GroupedData.mean", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.mean", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.avg": {"fullname": "sqlglot.dataframe.sql.GroupedData.avg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.avg", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.max": {"fullname": "sqlglot.dataframe.sql.GroupedData.max", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.max", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.min": {"fullname": "sqlglot.dataframe.sql.GroupedData.min", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.min", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.sum": {"fullname": "sqlglot.dataframe.sql.GroupedData.sum", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.sum", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.pivot": {"fullname": "sqlglot.dataframe.sql.GroupedData.pivot", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.pivot", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column": {"fullname": "sqlglot.dataframe.sql.Column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Column.__init__": {"fullname": "sqlglot.dataframe.sql.Column.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression: Union[<MagicMock id='139671828506144'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='139671824607472'>, sqlglot.expressions.Expression, NoneType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_cols": {"fullname": "sqlglot.dataframe.sql.Column.ensure_cols", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_cols", "kind": "function", "doc": "

\n", "signature": "(\tcls,\targs: List[Union[<MagicMock id='139671824944912'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.column.Column]:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"fullname": "sqlglot.dataframe.sql.Column.invoke_anonymous_function", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_anonymous_function", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='139671824684208'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='139671824723552'>]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"fullname": "sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='139671824637840'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='139671824928672'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='139671824938800'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "

\n", "signature": "(self, klass: Callable, **kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_literal": {"fullname": "sqlglot.dataframe.sql.Column.ensure_literal", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_literal", "kind": "function", "doc": "

\n", "signature": "(cls, value) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.copy": {"fullname": "sqlglot.dataframe.sql.Column.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.copy", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.set_table_name": {"fullname": "sqlglot.dataframe.sql.Column.set_table_name", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.set_table_name", "kind": "function", "doc": "

\n", "signature": "(self, table_name: str, copy=False) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.sql": {"fullname": "sqlglot.dataframe.sql.Column.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.alias": {"fullname": "sqlglot.dataframe.sql.Column.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc": {"fullname": "sqlglot.dataframe.sql.Column.asc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc": {"fullname": "sqlglot.dataframe.sql.Column.desc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.when": {"fullname": "sqlglot.dataframe.sql.Column.when", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: sqlglot.dataframe.sql.column.Column,\tvalue: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.otherwise": {"fullname": "sqlglot.dataframe.sql.Column.otherwise", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.otherwise", "kind": "function", "doc": "

\n", "signature": "(self, value: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNull": {"fullname": "sqlglot.dataframe.sql.Column.isNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNotNull": {"fullname": "sqlglot.dataframe.sql.Column.isNotNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNotNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.cast": {"fullname": "sqlglot.dataframe.sql.Column.cast", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.cast", "kind": "function", "doc": "

Functionality Difference: PySpark cast accepts a datatype instance of the datatype class\nSqlglot doesn't currently replicate this class so it only accepts a string

\n", "signature": "(self, dataType: Union[str, sqlglot.dataframe.sql.types.DataType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.startswith": {"fullname": "sqlglot.dataframe.sql.Column.startswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.startswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.endswith": {"fullname": "sqlglot.dataframe.sql.Column.endswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.endswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.rlike": {"fullname": "sqlglot.dataframe.sql.Column.rlike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.rlike", "kind": "function", "doc": "

\n", "signature": "(self, regexp: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.like": {"fullname": "sqlglot.dataframe.sql.Column.like", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.like", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ilike": {"fullname": "sqlglot.dataframe.sql.Column.ilike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ilike", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.substr": {"fullname": "sqlglot.dataframe.sql.Column.substr", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.substr", "kind": "function", "doc": "

\n", "signature": "(\tself,\tstartPos: Union[int, sqlglot.dataframe.sql.column.Column],\tlength: Union[int, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isin": {"fullname": "sqlglot.dataframe.sql.Column.isin", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='139671825238192'>, Iterable[<MagicMock id='139671825238192'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlowerBound: <MagicMock id='139671825325248'>,\tupperBound: <MagicMock id='139671825363344'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "

\n", "signature": "(\tself,\twindow: <MagicMock id='139671825421056'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.__init__", "kind": "function", "doc": "

\n", "signature": "(df: sqlglot.dataframe.sql.dataframe.DataFrame)"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.fill", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.fill", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[int, bool, float, str, Dict[str, Any]],\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[str, List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window": {"fullname": "sqlglot.dataframe.sql.Window", "modulename": "sqlglot.dataframe.sql", "qualname": "Window", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Window.partitionBy": {"fullname": "sqlglot.dataframe.sql.Window.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='139671825537808'>, List[<MagicMock id='139671825537808'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='139671825477936'>, List[<MagicMock id='139671825477936'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rangeBetween": {"fullname": "sqlglot.dataframe.sql.Window.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec": {"fullname": "sqlglot.dataframe.sql.WindowSpec", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"fullname": "sqlglot.dataframe.sql.WindowSpec.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression = (WINDOW ))"}, "sqlglot.dataframe.sql.WindowSpec.copy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.copy", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.sql": {"fullname": "sqlglot.dataframe.sql.WindowSpec.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='139671823629328'>, List[<MagicMock id='139671823629328'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='139671823794864'>, List[<MagicMock id='139671823794864'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameReader": {"fullname": "sqlglot.dataframe.sql.DataFrameReader", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.__init__", "kind": "function", "doc": "

\n", "signature": "(spark: sqlglot.dataframe.sql.session.SparkSession)"}, "sqlglot.dataframe.sql.DataFrameReader.table": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.table", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tspark: Optional[sqlglot.dataframe.sql.session.SparkSession] = None,\tmode: Optional[str] = None,\tby_name: bool = False)"}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.mode", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.mode", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsaveMode: Optional[str]) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.insertInto", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.insertInto", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttableName: str,\toverwrite: Optional[bool] = None) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.saveAsTable", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\tformat: Optional[str] = None,\tmode: Optional[str] = None):", "funcdef": "def"}, "sqlglot.dialects": {"fullname": "sqlglot.dialects", "modulename": "sqlglot.dialects", "kind": "module", "doc": "

Dialects

\n\n

While there is a SQL standard, most SQL engines support a variation of that standard. This makes it difficult\nto write portable SQL code. SQLGlot bridges all the different variations, called \"dialects\", with an extensible\nSQL transpilation framework.

\n\n

The base sqlglot.dialects.dialect.Dialect class implements a generic dialect that aims to be as universal as possible.

\n\n

Each SQL variation has its own Dialect subclass, extending the corresponding Tokenizer, Parser and Generator\nclasses as needed.

\n\n

Implementing a custom Dialect

\n\n

Consider the following example:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n
\n
\n\n

This is a typical example of adding a new dialect implementation in SQLGlot: we specify its identifier and string\ndelimiters, as well as what tokens it uses for its types and how they're associated with SQLGlot types. Since\nthe Expression classes are common for each dialect supported in SQLGlot, we may also need to override the generation\nlogic for some expressions; this is usually done by adding new entries to the TRANSFORMS mapping.

\n\n
\n"}, "sqlglot.dialects.bigquery": {"fullname": "sqlglot.dialects.bigquery", "modulename": "sqlglot.dialects.bigquery", "kind": "module", "doc": "

Supports BigQuery Standard SQL.

\n"}, "sqlglot.dialects.bigquery.BigQuery": {"fullname": "sqlglot.dialects.bigquery.BigQuery", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Tokenizer", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Parser", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.array_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.except_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse": {"fullname": "sqlglot.dialects.clickhouse", "modulename": "sqlglot.dialects.clickhouse", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.clickhouse.ClickHouse": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Parser", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.after_limit_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.parameterizedagg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.dialects.databricks": {"fullname": "sqlglot.dialects.databricks", "modulename": "sqlglot.dialects.databricks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.databricks.Databricks": {"fullname": "sqlglot.dialects.databricks.Databricks", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark.Spark"}, "sqlglot.dialects.databricks.Databricks.Parser": {"fullname": "sqlglot.dialects.databricks.Databricks.Parser", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Parser"}, "sqlglot.dialects.databricks.Databricks.Generator": {"fullname": "sqlglot.dialects.databricks.Databricks.Generator", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Generator"}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"fullname": "sqlglot.dialects.databricks.Databricks.Tokenizer", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark2.Spark2.Tokenizer"}, "sqlglot.dialects.dialect": {"fullname": "sqlglot.dialects.dialect", "modulename": "sqlglot.dialects.dialect", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialects": {"fullname": "sqlglot.dialects.dialect.Dialects", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects", "kind": "class", "doc": "

An enumeration.

\n", "bases": "builtins.str, enum.Enum"}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"fullname": "sqlglot.dialects.dialect.Dialects.DIALECT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DIALECT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DIALECT: ''>"}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"fullname": "sqlglot.dialects.dialect.Dialects.BIGQUERY", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.BIGQUERY", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.BIGQUERY: 'bigquery'>"}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"fullname": "sqlglot.dialects.dialect.Dialects.CLICKHOUSE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.CLICKHOUSE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.CLICKHOUSE: 'clickhouse'>"}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"fullname": "sqlglot.dialects.dialect.Dialects.DUCKDB", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DUCKDB", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DUCKDB: 'duckdb'>"}, "sqlglot.dialects.dialect.Dialects.HIVE": {"fullname": "sqlglot.dialects.dialect.Dialects.HIVE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.HIVE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.HIVE: 'hive'>"}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.MYSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.MYSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.MYSQL: 'mysql'>"}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"fullname": "sqlglot.dialects.dialect.Dialects.ORACLE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.ORACLE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.ORACLE: 'oracle'>"}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"fullname": "sqlglot.dialects.dialect.Dialects.POSTGRES", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.POSTGRES", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.POSTGRES: 'postgres'>"}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"fullname": "sqlglot.dialects.dialect.Dialects.PRESTO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.PRESTO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.PRESTO: 'presto'>"}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"fullname": "sqlglot.dialects.dialect.Dialects.REDSHIFT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.REDSHIFT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.REDSHIFT: 'redshift'>"}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"fullname": "sqlglot.dialects.dialect.Dialects.SNOWFLAKE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SNOWFLAKE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SNOWFLAKE: 'snowflake'>"}, "sqlglot.dialects.dialect.Dialects.SPARK": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK2", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK2", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK2: 'spark2'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SQLITE: 'sqlite'>"}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"fullname": "sqlglot.dialects.dialect.Dialects.STARROCKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.STARROCKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.STARROCKS: 'starrocks'>"}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"fullname": "sqlglot.dialects.dialect.Dialects.TABLEAU", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TABLEAU", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TABLEAU: 'tableau'>"}, "sqlglot.dialects.dialect.Dialects.TRINO": {"fullname": "sqlglot.dialects.dialect.Dialects.TRINO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TRINO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TRINO: 'trino'>"}, "sqlglot.dialects.dialect.Dialects.TSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.TSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TSQL: 'tsql'>"}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"fullname": "sqlglot.dialects.dialect.Dialects.DATABRICKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DATABRICKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DATABRICKS: 'databricks'>"}, "sqlglot.dialects.dialect.Dialects.DRILL": {"fullname": "sqlglot.dialects.dialect.Dialects.DRILL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DRILL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DRILL: 'drill'>"}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"fullname": "sqlglot.dialects.dialect.Dialects.TERADATA", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TERADATA", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TERADATA: 'teradata'>"}, "sqlglot.dialects.dialect.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"fullname": "sqlglot.dialects.dialect.Dialect.get_or_raise", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.get_or_raise", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> Type[sqlglot.dialects.dialect.Dialect]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.format_time": {"fullname": "sqlglot.dialects.dialect.Dialect.format_time", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.format_time", "kind": "function", "doc": "

\n", "signature": "(\tcls,\texpression: Union[str, sqlglot.expressions.Expression, NoneType]) -> Optional[sqlglot.expressions.Expression]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse": {"fullname": "sqlglot.dialects.dialect.Dialect.parse", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse_into": {"fullname": "sqlglot.dialects.dialect.Dialect.parse_into", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse_into", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression_type: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\tsql: str,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generate": {"fullname": "sqlglot.dialects.dialect.Dialect.generate", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generate", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\t**opts) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.transpile": {"fullname": "sqlglot.dialects.dialect.Dialect.transpile", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.transpile", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.tokenize": {"fullname": "sqlglot.dialects.dialect.Dialect.tokenize", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.tokenize", "kind": "function", "doc": "

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parser": {"fullname": "sqlglot.dialects.dialect.Dialect.parser", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parser", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.parser.Parser:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generator": {"fullname": "sqlglot.dialects.dialect.Dialect.generator", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generator", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.generator.Generator:", "funcdef": "def"}, "sqlglot.dialects.dialect.rename_func": {"fullname": "sqlglot.dialects.dialect.rename_func", "modulename": "sqlglot.dialects.dialect", "qualname": "rename_func", "kind": "function", "doc": "

\n", "signature": "(\tname: str) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"fullname": "sqlglot.dialects.dialect.approx_count_distinct_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "approx_count_distinct_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ApproxDistinct) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.if_sql": {"fullname": "sqlglot.dialects.dialect.if_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "if_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtract | sqlglot.expressions.JSONBExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_scalar_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtractScalar | sqlglot.expressions.JSONBExtractScalar) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.inline_array_sql": {"fullname": "sqlglot.dialects.dialect.inline_array_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "inline_array_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_ilike_sql": {"fullname": "sqlglot.dialects.dialect.no_ilike_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_ilike_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"fullname": "sqlglot.dialects.dialect.no_paren_current_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_paren_current_date_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"fullname": "sqlglot.dialects.dialect.no_recursive_cte_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_recursive_cte_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"fullname": "sqlglot.dialects.dialect.no_safe_divide_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_safe_divide_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.SafeDivide) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_tablesample_sql": {"fullname": "sqlglot.dialects.dialect.no_tablesample_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_pivot_sql": {"fullname": "sqlglot.dialects.dialect.no_pivot_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_pivot_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_trycast_sql": {"fullname": "sqlglot.dialects.dialect.no_trycast_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_trycast_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_properties_sql": {"fullname": "sqlglot.dialects.dialect.no_properties_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_properties_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"fullname": "sqlglot.dialects.dialect.no_comment_column_constraint_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_comment_column_constraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CommentColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_position_sql": {"fullname": "sqlglot.dialects.dialect.str_position_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_position_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.struct_extract_sql": {"fullname": "sqlglot.dialects.dialect.struct_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "struct_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StructExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.var_map_sql": {"fullname": "sqlglot.dialects.dialect.var_map_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "var_map_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Map | sqlglot.expressions.VarMap,\tmap_func_name: str = 'MAP') -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.format_time_lambda": {"fullname": "sqlglot.dialects.dialect.format_time_lambda", "modulename": "sqlglot.dialects.dialect", "qualname": "format_time_lambda", "kind": "function", "doc": "

Helper used for time expressions.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
    • \n
  • dialect: target sql dialect.
    • \n
  • default: the default format, True being time.
    • \n
\n\n
Returns:
\n\n
\n

A callable that can be used to return the appropriately formatted time expression.

\n
\n", "signature": "(\texp_class: Type[~E],\tdialect: str,\tdefault: Union[bool, str, NoneType] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"fullname": "sqlglot.dialects.dialect.create_with_partitions_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "create_with_partitions_sql", "kind": "function", "doc": "

In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the\nPARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding\ncolumns are removed from the create statement.

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta": {"fullname": "sqlglot.dialects.dialect.parse_date_delta", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta", "kind": "function", "doc": "

\n", "signature": "(\texp_class: Type[~E],\tunit_mapping: Optional[Dict[str, str]] = None) -> Callable[[Sequence], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"fullname": "sqlglot.dialects.dialect.parse_date_delta_with_interval", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta_with_interval", "kind": "function", "doc": "

\n", "signature": "(expression_class: Type[~E]) -> Callable[[Sequence], Optional[~E]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.date_trunc_to_time": {"fullname": "sqlglot.dialects.dialect.date_trunc_to_time", "modulename": "sqlglot.dialects.dialect", "qualname": "date_trunc_to_time", "kind": "function", "doc": "

\n", "signature": "(\targs: Sequence) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"fullname": "sqlglot.dialects.dialect.timestamptrunc_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestamptrunc_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimestampTrunc) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.locate_to_strposition": {"fullname": "sqlglot.dialects.dialect.locate_to_strposition", "modulename": "sqlglot.dialects.dialect", "qualname": "locate_to_strposition", "kind": "function", "doc": "

\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"fullname": "sqlglot.dialects.dialect.strposition_to_locate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "strposition_to_locate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestrtotime_sql": {"fullname": "sqlglot.dialects.dialect.timestrtotime_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestrtotime_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimeStrToTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.datestrtodate_sql": {"fullname": "sqlglot.dialects.dialect.datestrtodate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "datestrtodate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateStrToDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.min_or_least": {"fullname": "sqlglot.dialects.dialect.min_or_least", "modulename": "sqlglot.dialects.dialect", "qualname": "min_or_least", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Min) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.max_or_greatest": {"fullname": "sqlglot.dialects.dialect.max_or_greatest", "modulename": "sqlglot.dialects.dialect", "qualname": "max_or_greatest", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Max) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.count_if_to_sum": {"fullname": "sqlglot.dialects.dialect.count_if_to_sum", "modulename": "sqlglot.dialects.dialect", "qualname": "count_if_to_sum", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CountIf) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.trim_sql": {"fullname": "sqlglot.dialects.dialect.trim_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "trim_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_to_time_sql": {"fullname": "sqlglot.dialects.dialect.str_to_time_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_to_time_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"fullname": "sqlglot.dialects.dialect.ts_or_ds_to_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "ts_or_ds_to_date_sql", "kind": "function", "doc": "

\n", "signature": "(dialect: str) -> Callable:", "funcdef": "def"}, "sqlglot.dialects.dialect.pivot_column_names": {"fullname": "sqlglot.dialects.dialect.pivot_column_names", "modulename": "sqlglot.dialects.dialect", "qualname": "pivot_column_names", "kind": "function", "doc": "

\n", "signature": "(\taggregations: List[sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.drill.Drill": {"fullname": "sqlglot.dialects.drill.Drill", "modulename": "sqlglot.dialects.drill", "qualname": "Drill", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.drill.Drill.Tokenizer": {"fullname": "sqlglot.dialects.drill.Drill.Tokenizer", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.drill.Drill.Parser": {"fullname": "sqlglot.dialects.drill.Drill.Parser", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.drill.Drill.Generator": {"fullname": "sqlglot.dialects.drill.Drill.Generator", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"fullname": "sqlglot.dialects.drill.Drill.Generator.normalize_func", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.dialects.duckdb": {"fullname": "sqlglot.dialects.duckdb", "modulename": "sqlglot.dialects.duckdb", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.duckdb.DuckDB": {"fullname": "sqlglot.dialects.duckdb.DuckDB", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Tokenizer", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Parser", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.TableSample,\tseed_prefix: str = 'SEED',\tsep=' AS ') -> str:", "funcdef": "def"}, "sqlglot.dialects.hive": {"fullname": "sqlglot.dialects.hive", "modulename": "sqlglot.dialects.hive", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.hive.Hive": {"fullname": "sqlglot.dialects.hive.Hive", "modulename": "sqlglot.dialects.hive", "qualname": "Hive", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.hive.Hive.Tokenizer": {"fullname": "sqlglot.dialects.hive.Hive.Tokenizer", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.hive.Hive.Parser": {"fullname": "sqlglot.dialects.hive.Hive.Parser", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.hive.Hive.Generator": {"fullname": "sqlglot.dialects.hive.Hive.Generator", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.arrayagg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ArrayAgg) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"fullname": "sqlglot.dialects.hive.Hive.Generator.with_properties", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.datatype_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"fullname": "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.after_having_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.mysql": {"fullname": "sqlglot.dialects.mysql", "modulename": "sqlglot.dialects.mysql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.mysql.MySQL": {"fullname": "sqlglot.dialects.mysql.MySQL", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"fullname": "sqlglot.dialects.mysql.MySQL.Tokenizer", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.mysql.MySQL.Parser": {"fullname": "sqlglot.dialects.mysql.MySQL.Parser", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.mysql.MySQL.Generator": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.show_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.show_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Show) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle": {"fullname": "sqlglot.dialects.oracle", "modulename": "sqlglot.dialects.oracle", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.oracle.Oracle": {"fullname": "sqlglot.dialects.oracle.Oracle", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.oracle.Oracle.Parser": {"fullname": "sqlglot.dialects.oracle.Oracle.Parser", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.oracle.Oracle.Generator": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.offset_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.column_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.xmltable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.XMLTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"fullname": "sqlglot.dialects.oracle.Oracle.Tokenizer", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres": {"fullname": "sqlglot.dialects.postgres", "modulename": "sqlglot.dialects.postgres", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.postgres.Postgres": {"fullname": "sqlglot.dialects.postgres.Postgres", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"fullname": "sqlglot.dialects.postgres.Postgres.Tokenizer", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres.Postgres.Parser": {"fullname": "sqlglot.dialects.postgres.Postgres.Parser", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.postgres.Postgres.Generator": {"fullname": "sqlglot.dialects.postgres.Postgres.Generator", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto": {"fullname": "sqlglot.dialects.presto", "modulename": "sqlglot.dialects.presto", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.presto.Presto": {"fullname": "sqlglot.dialects.presto.Presto", "modulename": "sqlglot.dialects.presto", "qualname": "Presto", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.presto.Presto.Tokenizer": {"fullname": "sqlglot.dialects.presto.Presto.Tokenizer", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.presto.Presto.Parser": {"fullname": "sqlglot.dialects.presto.Presto.Parser", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.presto.Presto.Generator": {"fullname": "sqlglot.dialects.presto.Presto.Generator", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.interval_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.transaction_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.generateseries_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.generateseries_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GenerateSeries) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift": {"fullname": "sqlglot.dialects.redshift", "modulename": "sqlglot.dialects.redshift", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.redshift.Redshift": {"fullname": "sqlglot.dialects.redshift.Redshift", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres"}, "sqlglot.dialects.redshift.Redshift.Parser": {"fullname": "sqlglot.dialects.redshift.Redshift.Parser", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Parser"}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"fullname": "sqlglot.dialects.redshift.Redshift.Tokenizer", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres.Tokenizer"}, "sqlglot.dialects.redshift.Redshift.Generator": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Generator"}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.values_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.values_sql", "kind": "function", "doc": "

Converts VALUES... expression into a series of unions.

\n\n

Note: If you have a lot of unions then this will result in a large number of recursive statements to\nevaluate the expression. You may need to increase sys.setrecursionlimit to run and it can also be\nvery slow.

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.with_properties", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.with_properties", "kind": "function", "doc": "

Redshift doesn't have WITH as part of their with_properties so we remove it

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.datatype_sql", "kind": "function", "doc": "

Redshift converts the TEXT data type to VARCHAR(255) by default when people more generally mean\nVARCHAR of max length which is VARCHAR(max) in Redshift. Therefore if we get a TEXT data type\nwithout precision we convert it to VARCHAR(max) and if it does have precision then we just convert\nTEXT to VARCHAR.

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake": {"fullname": "sqlglot.dialects.snowflake", "modulename": "sqlglot.dialects.snowflake", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.snowflake.Snowflake": {"fullname": "sqlglot.dialects.snowflake.Snowflake", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Parser", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Tokenizer", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.except_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.settag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SetTag) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark": {"fullname": "sqlglot.dialects.spark", "modulename": "sqlglot.dialects.spark", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark.Spark": {"fullname": "sqlglot.dialects.spark.Spark", "modulename": "sqlglot.dialects.spark", "qualname": "Spark", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark2.Spark2"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Parser"}, "sqlglot.dialects.spark.Spark.Generator": {"fullname": "sqlglot.dialects.spark.Spark.Generator", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Generator"}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"fullname": "sqlglot.dialects.spark.Spark.Generator.datediff_sql", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2": {"fullname": "sqlglot.dialects.spark2", "modulename": "sqlglot.dialects.spark2", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark2.Spark2": {"fullname": "sqlglot.dialects.spark2.Spark2", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive"}, "sqlglot.dialects.spark2.Spark2.Parser": {"fullname": "sqlglot.dialects.spark2.Spark2.Parser", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Parser"}, "sqlglot.dialects.spark2.Spark2.Generator": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Generator"}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.cast_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"fullname": "sqlglot.dialects.spark2.Spark2.Tokenizer", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive.Tokenizer"}, "sqlglot.dialects.sqlite": {"fullname": "sqlglot.dialects.sqlite", "modulename": "sqlglot.dialects.sqlite", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.sqlite.SQLite": {"fullname": "sqlglot.dialects.sqlite.SQLite", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"fullname": "sqlglot.dialects.sqlite.SQLite.Tokenizer", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.sqlite.SQLite.Parser": {"fullname": "sqlglot.dialects.sqlite.SQLite.Parser", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.sqlite.SQLite.Generator": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.groupconcat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.least_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.least_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Least) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.dialects.starrocks": {"fullname": "sqlglot.dialects.starrocks", "modulename": "sqlglot.dialects.starrocks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.starrocks.StarRocks": {"fullname": "sqlglot.dialects.starrocks.StarRocks", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.mysql.MySQL"}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Parser", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Parser"}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Generator", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Generator"}, "sqlglot.dialects.tableau": {"fullname": "sqlglot.dialects.tableau", "modulename": "sqlglot.dialects.tableau", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tableau.Tableau": {"fullname": "sqlglot.dialects.tableau.Tableau", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tableau.Tableau.Generator": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.if_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.coalesce_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Coalesce) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.count_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.count_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Count) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Parser": {"fullname": "sqlglot.dialects.tableau.Tableau.Parser", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata": {"fullname": "sqlglot.dialects.teradata", "modulename": "sqlglot.dialects.teradata", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.teradata.Teradata": {"fullname": "sqlglot.dialects.teradata.Teradata", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"fullname": "sqlglot.dialects.teradata.Teradata.Tokenizer", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.teradata.Teradata.Parser": {"fullname": "sqlglot.dialects.teradata.Teradata.Parser", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata.Teradata.Generator": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.partitionedbyproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PartitionedByProperty) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.update_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.mod_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.rangen_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RangeN) -> str:", "funcdef": "def"}, "sqlglot.dialects.trino": {"fullname": "sqlglot.dialects.trino", "modulename": "sqlglot.dialects.trino", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.trino.Trino": {"fullname": "sqlglot.dialects.trino.Trino", "modulename": "sqlglot.dialects.trino", "qualname": "Trino", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto"}, "sqlglot.dialects.trino.Trino.Generator": {"fullname": "sqlglot.dialects.trino.Trino.Generator", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.presto.Presto.Generator"}, "sqlglot.dialects.trino.Trino.Tokenizer": {"fullname": "sqlglot.dialects.trino.Trino.Tokenizer", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto.Tokenizer"}, "sqlglot.dialects.tsql": {"fullname": "sqlglot.dialects.tsql", "modulename": "sqlglot.dialects.tsql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"fullname": "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "generate_date_delta_with_unit_sql", "kind": "function", "doc": "

\n", "signature": "(self, e):", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL": {"fullname": "sqlglot.dialects.tsql.TSQL", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"fullname": "sqlglot.dialects.tsql.TSQL.Tokenizer", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.tsql.TSQL.Parser": {"fullname": "sqlglot.dialects.tsql.TSQL.Parser", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.tsql.TSQL.Generator": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.offset_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.systemtime_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SystemTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.returnsproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ReturnsProperty) -> str:", "funcdef": "def"}, "sqlglot.diff": {"fullname": "sqlglot.diff", "modulename": "sqlglot.diff", "kind": "module", "doc": "

Semantic Diff for SQL

\n\n

by Iaroslav Zeigerman

\n\n

Motivation

\n\n

Software is constantly changing and evolving, and identifying what has changed and reviewing those changes is an integral part of the development process. SQL code is no exception to this.

\n\n

Text-based diff tools such as git diff, when applied to a code base, have certain limitations. First, they can only detect insertions and deletions, not movements or updates of individual pieces of code. Second, such tools can only detect changes between lines of text, which is too coarse for something as granular and detailed as source code. Additionally, the outcome of such a diff is dependent on the underlying code formatting, and yields different results if the formatting should change.

\n\n

Consider the following diff generated by Git:

\n\n

\"Git

\n\n

Semantically the query hasn\u2019t changed. The two arguments b and c have been swapped (moved), posing no impact on the output of the query. Yet Git replaced the whole affected expression alongside a bulk of unrelated elements.

\n\n

The alternative to text-based diffing is to compare Abstract Syntax Trees (AST) instead. The main advantage of ASTs are that they are a direct product of code parsing, which represents the underlying code structure at any desired level of granularity. Comparing ASTs may yield extremely precise diffs; changes such as code movements and updates can also be detected. Even more importantly, this approach facilitates additional use cases beyond eyeballing two versions of source code side by side.

\n\n

The use cases I had in mind for SQL when I decided to embark on this journey of semantic diffing were the following:

\n\n
    \n
  • Query similarity score. Identifying which parts the two queries have in common to automatically suggest opportunities for consolidation, creation of intermediate/staging tables, and so on.
    • \n
  • Differentiating between cosmetic / structural changes and functional ones. For example when a nested query is refactored into a common table expression (CTE), this kind of change doesn\u2019t have any functional impact on either a query or its outcome.
    • \n
  • Automatic suggestions about the need to retroactively backfill data. This is especially important for pipelines that populate very large tables for which restatement is a runtime-intensive procedure. The ability to discern between simple code movements and actual modifications can help assess the impact of a change and make suggestions accordingly.
    • \n
\n\n

The implementation discussed in this post is now a part of the SQLGlot library. You can find a complete source code in the diff.py module. The choice of SQLglot was an obvious one due to its simple but powerful API, lack of external dependencies and, more importantly, extensive list of supported SQL dialects.

\n\n

The Search for a Solution

\n\n

When it comes to any diffing tool (not just a semantic one), the primary challenge is to match as many elements of compared entities as possible. Once such a set of matching elements is available, deriving a sequence of changes becomes an easy task.

\n\n

If our elements have unique identifiers associated with them (for example, an element\u2019s ID in DOM), the matching problem is trivial. However, the SQL syntax trees that we are comparing have neither unique keys nor object identifiers that can be used for the purposes of matching. So, how do we suppose to find pairs of nodes that are related?

\n\n

To better illustrate the problem, consider comparing the following SQL expressions: SELECT a + b + c, d, e and SELECT a - b + c, e, f. Matching individual nodes from respective syntax trees can be visualized as follows:

\n\n

\"Figure\nFigure 1: Example of node matching for two SQL expression trees.

\n\n

By looking at the figure of node matching for two SQL expression trees above, we conclude that the following changes should be captured by our solution:

\n\n
    \n
  • Inserted nodes: Sub and f. These are the nodes from the target AST which do not have a matching node in the source AST.
    • \n
  • Removed nodes: Add and d. These are the nodes from the source AST which do not have a counterpart in the target AST.
    • \n
  • Remaining nodes must be identified as unchanged.
    • \n
\n\n

It should be clear at this point that if we manage to match nodes in the source tree with their counterparts in the target tree, then computing the diff becomes a trivial matter.

\n\n

Na\u00efve Brute-Force

\n\n

The na\u00efve solution would be to try all different permutations of node pair combinations, and see which set of pairs performs the best based on some type of heuristics. The runtime cost of such a solution quickly reaches the escape velocity; if both trees had only 10 nodes each, the number of such sets would approximately be 10! ^ 2 = 3.6M ^ 2 ~= 13 * 10^12. This is a very bad case of factorial complexity (to be precise, it\u2019s actually much worse - O(n! ^ 2) - but I couldn\u2019t come up with a name for it), so there is little need to explore this approach any further.

\n\n

Myers Algorithm

\n\n

After the na\u00efve approach was proven to be infeasible, the next question I asked myself was \u201chow does git diff work?\u201d. This question led me to discover the Myers diff algorithm [1]. This algorithm has been designed to compare sequences of strings. At its core, it\u2019s looking for the shortest path on a graph of possible edits that transform the first sequence into the second one, while heavily rewarding those paths that lead to longest subsequences of unchanged elements. There\u2019s a lot of material out there describing this algorithm in greater detail. I found James Coglan\u2019s series of blog posts to be the most comprehensive.

\n\n

Therefore, I had this \u201cbrilliant\u201d (actually not) idea to transform trees into sequences by traversing them in topological order, and then applying the Myers algorithm on resulting sequences while using a custom heuristics when checking the equality of two nodes. Unsurprisingly, comparing sequences of strings is quite different from comparing hierarchical tree structures, and by flattening trees into sequences, we lose a lot of relevant context. This resulted in a terrible performance of this algorithm on ASTs. It often matched completely unrelated nodes, even when the two trees were mostly the same, and produced extremely inaccurate lists of changes overall. After playing around with it a little and tweaking my equality heuristics to improve accuracy, I ultimately scrapped the whole implementation and went back to the drawing board.

\n\n

Change Distiller

\n\n

The algorithm I settled on at the end was Change Distiller, created by Fluri et al. [2], which in turn is an improvement over the core idea described by Chawathe et al. [3].

\n\n

The algorithm consists of two high-level steps:

\n\n
    \n
  1. Finding appropriate matchings between pairs of nodes that are part of compared ASTs. Identifying what is meant by \u201cappropriate\u201d matching is also a part of this step.
    2. \n
  2. Generating the so-called \u201cedit script\u201d from the matching set built in the 1st step. The edit script is a sequence of edit operations (for example, insert, remove, update, etc.) on individual tree nodes, such that when applied as transformations on the source AST, it eventually becomes the target AST. In general, the shorter the sequence, the better. The length of the edit script can be used to compare the performance of different algorithms, though this is not the only metric that matters.
    3. \n
\n\n

The rest of this section is dedicated to the Python implementation of the steps above using the AST implementation provided by the SQLGlot library.

\n\n

Building the Matching Set

\n\n

Matching Leaves

\n\n

We begin composing the matching set by matching the leaf nodes. Leaf nodes are the nodes that do not have any children nodes (such as literals, identifiers, etc.). In order to match them, we gather all the leaf nodes from the source tree and generate a cartesian product with all the leaves from the target tree, while comparing pairs created this way and assigning them a similarity score. During this stage, we also exclude pairs that don\u2019t pass basic matching criteria. Then, we pick pairs that scored the highest while making sure that each node is matched no more than once.

\n\n

Using the example provided at the beginning of the post, the process of building an initial set of candidate matchings can be seen on Figure 2.

\n\n

\"Figure\nFigure 2: Building a set of candidate matchings between leaf nodes. The third item in each triplet represents a similarity score between two nodes.

\n\n

First, let\u2019s analyze the similarity score. Then, we\u2019ll discuss matching criteria.

\n\n

The similarity score proposed by Fluri et al. [2] is a dice coefficient applied to bigrams of respective node values. A bigram is a sequence of two adjacent elements from a string computed in a sliding window fashion:

\n\n
\n
def bigram(string):\n    count = max(0, len(string) - 1)\n    return [string[i : i + 2] for i in range(count)]\n
\n
\n\n

For reasons that will become clear shortly, we actually need to compute bigram histograms rather than just sequences:

\n\n
\n
from collections import defaultdict\n\ndef bigram_histo(string):\n    count = max(0, len(string) - 1)\n    bigram_histo = defaultdict(int)\n    for i in range(count):\n        bigram_histo[string[i : i + 2]] += 1\n    return bigram_histo\n
\n
\n\n

The dice coefficient formula looks like following:

\n\n

\"Dice

\n\n

Where X is a bigram of the source node and Y is a bigram of the second one. What this essentially does is count the number of bigram elements the two nodes have in common, multiply it by 2, and then divide by the total number of elements in both bigrams. This is where bigram histograms come in handy:

\n\n
\n
def dice_coefficient(source, target):\n    source_histo = bigram_histo(source.sql())\n    target_histo = bigram_histo(target.sql())\n\n    total_grams = (\n        sum(source_histo.values()) + sum(target_histo.values())\n    )\n    if not total_grams:\n        return 1.0 if source == target else 0.0\n\n    overlap_len = 0\n    overlapping_grams = set(source_histo) & set(target_histo)\n    for g in overlapping_grams:\n        overlap_len += min(source_histo[g], target_histo[g])\n\n    return 2 * overlap_len / total_grams\n
\n
\n\n

To compute a bigram given a tree node, we first transform the node into its canonical SQL representation,so that the Literal(123) node becomes just \u201c123\u201d and the Identifier(\u201ca\u201d) node becomes just \u201ca\u201d. We also handle a scenario when strings are too short to derive bigrams. In this case, we fallback to checking the two nodes for equality.

\n\n

Now when we know how to compute the similarity score, we can take care of the matching criteria for leaf nodes. In the original paper [2], the matching criteria is formalized as follows:

\n\n

\"Matching

\n\n

The two nodes are matched if two conditions are met:

\n\n
    \n
  1. The node labels match (in our case labels are just node types).
    2. \n
  2. The similarity score for node values is greater than or equal to some threshold \u201cf\u201d. The authors of the paper recommend setting the value of \u201cf\u201d to 0.6.
    3. \n
\n\n

With building blocks in place, we can now build a matching set for leaf nodes. First, we generate a list of candidates for matching:

\n\n
\n
from heapq import heappush, heappop\n\ncandidate_matchings = []\nsource_leaves = _get_leaves(self._source)\ntarget_leaves = _get_leaves(self._target)\nfor source_leaf in source_leaves:\n    for target_leaf in target_leaves:\n        if _is_same_type(source_leaf, target_leaf):\n            similarity_score = dice_coefficient(\n                source_leaf, target_leaf\n            )\n            if similarity_score >= 0.6:\n                heappush(\n                    candidate_matchings,\n                    (\n                        -similarity_score,\n                        len(candidate_matchings),\n                        source_leaf,\n                        target_leaf,\n                    ),\n                )\n
\n
\n\n

In the implementation above, we push each matching pair onto the heap to automatically maintain the correct order based on the assigned similarity score.

\n\n

Finally, we build the initial matching set by picking leaf pairs with the highest score:

\n\n
\n
matching_set = set()\nwhile candidate_matchings:\n    _, _, source_leaf, target_leaf = heappop(candidate_matchings)\n    if (\n        source_leaf in unmatched_source_nodes\n        and target_leaf in unmatched_target_nodes\n    ):\n        matching_set.add((source_leaf, target_leaf))\n        unmatched_source_nodes.remove(source_leaf)\n        unmatched_target_nodes.remove(target_leaf)\n
\n
\n\n

To finalize the matching set, we should now proceed with matching inner nodes.

\n\n

Matching Inner Nodes

\n\n

Matching inner nodes is quite similar to matching leaf nodes, with the following two distinctions:

\n\n
    \n
  • Rather than ranking a set of possible candidates, we pick the first node pair that passes the matching criteria.
    • \n
  • The matching criteria itself has been extended to account for the number of leaf nodes the pair of inner nodes have in common.
    • \n
\n\n

\"Figure\nFigure 3: Matching inner nodes based on their type as well as how many of their leaf nodes have been previously matched.

\n\n

Let\u2019s start with the matching criteria. The criteria is formalized as follows:

\n\n

\"Matching

\n\n

Alongside already familiar similarity score and node type criteria, there is a new one in the middle: the ratio of leaf nodes that the two nodes have in common must exceed some threshold \u201ct\u201d. The recommended value for \u201ct\u201d is also 0.6. Counting the number of common leaf nodes is pretty straightforward, since we already have the complete matching set for leaves. All we need to do is count how many matching pairs do leaf nodes from the two compared inner nodes form.

\n\n

There are two additional heuristics associated with this matching criteria:

\n\n
    \n
  • Inner node similarity weighting: if the similarity score between the node values doesn\u2019t pass the threshold \u201cf\u201d but the ratio of common leaf nodes (\u201ct\u201d) is greater than or equal to 0.8, then the matching is considered successful.
    • \n
  • The threshold \u201ct\u201d is reduced to 0.4 for inner nodes with the number of leaf nodes equal to 4 or less, in order to decrease the false negative rate for small subtrees.
    • \n
\n\n

We now only have to iterate through the remaining unmatched nodes and form matching pairs based on the outlined criteria:

\n\n
\n
leaves_matching_set = matching_set.copy()\n\nfor source_node in unmatched_source_nodes.copy():\n    for target_node in unmatched_target_nodes:\n        if _is_same_type(source_node, target_node):\n            source_leaves = set(_get_leaves(source_node))\n            target_leaves = set(_get_leaves(target_node))\n\n            max_leaves_num = max(len(source_leaves), len(target_leaves))\n            if max_leaves_num:\n                common_leaves_num = sum(\n                    1 if s in source_leaves and t in target_leaves else 0\n                    for s, t in leaves_matching_set\n                )\n                leaf_similarity_score = common_leaves_num / max_leaves_num\n            else:\n                leaf_similarity_score = 0.0\n\n            adjusted_t = (\n                0.6\n                if min(len(source_leaves), len(target_leaves)) > 4\n                else 0.4\n            )\n\n            if leaf_similarity_score >= 0.8 or (\n                leaf_similarity_score >= adjusted_t\n                and dice_coefficient(source_node, target_node) >= 0.6\n            ):\n                matching_set.add((source_node, target_node))\n                unmatched_source_nodes.remove(source_node)\n                unmatched_target_nodes.remove(target_node)\n                break\n
\n
\n\n

After the matching set is formed, we can proceed with generation of the edit script, which will be the algorithm\u2019s output.

\n\n

Generating the Edit Script

\n\n

At this point, we should have the following 3 sets at our disposal:

\n\n
    \n
  • The set of matched node pairs.
    • \n
  • The set of remaining unmatched nodes from the source tree.
    • \n
  • The set of remaining unmatched nodes from the target tree.
    • \n
\n\n

We can derive 3 kinds of edits from the matching set: either the node\u2019s value was updated (Update), the node was moved to a different position within the tree (Move), or the node remained unchanged (Keep). Note that the Move case is not mutually exclusive with the other two. The node could have been updated or could have remained the same while at the same time its position within its parent node or the parent node itself could have changed. All unmatched nodes from the source tree are the ones that were removed (Remove), while unmatched nodes from the target tree are the ones that were inserted (Insert).

\n\n

The latter two cases are pretty straightforward to implement:

\n\n
\n
edit_script = []\n\nfor removed_node in unmatched_source_nodes:\n    edit_script.append(Remove(removed_node))\nfor inserted_node in unmatched_target_nodes:\n    edit_script.append(Insert(inserted_node))\n
\n
\n\n

Traversing the matching set requires a little more thought:

\n\n
\n
for source_node, target_node in matching_set:\n    if (\n        not isinstance(source_node, LEAF_EXPRESSION_TYPES)\n        or source_node == target_node\n    ):\n        move_edits = generate_move_edits(\n            source_node, target_node, matching_set\n        )\n        edit_script.extend(move_edits)\n        edit_script.append(Keep(source_node, target_node))\n    else:\n        edit_script.append(Update(source_node, target_node))\n
\n
\n\n

If a matching pair represents a pair of leaf nodes, we check if they are the same to decide whether an update took place. For inner node pairs, we also need to compare the positions of their respective children to detect node movements. Chawathe et al. [3] suggest applying the longest common subsequence (LCS) algorithm which, no surprise here, was described by Myers himself [1]. There is a small catch, however: instead of checking the equality of two children nodes, we need to check whether the two nodes form a pair that is a part of our matching set.

\n\n

Now with this knowledge, the implementation becomes straightforward:

\n\n
\n
def generate_move_edits(source, target, matching_set):\n    source_children = _get_child_nodes(source)\n    target_children = _get_child_nodes(target)\n\n    lcs = set(\n        _longest_common_subsequence(\n            source_children,\n            target_children,\n            lambda l, r: (l, r) in matching_set\n        )\n    )\n\n    move_edits = []\n    for node in source_children:\n        if node not in lcs and node not in unmatched_source_nodes:\n            move_edits.append(Move(node))\n\n    return move_edits\n
\n
\n\n

I left out the implementation of the LCS algorithm itself here, but there are plenty of implementation choices out there that can be easily looked up.

\n\n

Output

\n\n

The implemented algorithm produces the output that resembles the following:

\n\n
\n
>>> from sqlglot import parse_one, diff\n>>> diff(parse_one("SELECT a + b + c, d, e"), parse_one("SELECT a - b + c, e, f"))\n\nRemove(Add)\nRemove(Column(d))\nRemove(Identifier(d))\nInsert(Sub)\nInsert(Column(f))\nInsert(Identifier(f))\nKeep(Select, Select)\nKeep(Add, Add)\nKeep(Column(a), Column(a))\nKeep(Identifier(a), Identifier(a))\nKeep(Column(b), Column(b))\nKeep(Identifier(b), Identifier(b))\nKeep(Column(c), Column(c))\nKeep(Identifier(c), Identifier(c))\nKeep(Column(e), Column(e))\nKeep(Identifier(e), Identifier(e))\n
\n
\n\n

Note that the output above is abbreviated. The string representation of actual AST nodes is significantly more verbose.

\n\n

The implementation works especially well when coupled with the SQLGlot\u2019s query optimizer which can be used to produce canonical representations of compared queries:

\n\n
\n
>>> schema={"t": {"a": "INT", "b": "INT", "c": "INT", "d": "INT"}}\n>>> source = """\n... SELECT 1 + 1 + a\n... FROM t\n... WHERE b = 1 OR (c = 2 AND d = 3)\n... """\n>>> target = """\n... SELECT 2 + a\n... FROM t\n... WHERE (b = 1 OR c = 2) AND (b = 1 OR d = 3)\n... """\n>>> optimized_source = optimize(parse_one(source), schema=schema)\n>>> optimized_target = optimize(parse_one(target), schema=schema)\n>>> edit_script = diff(optimized_source, optimized_target)\n>>> sum(0 if isinstance(e, Keep) else 1 for e in edit_script)\n0\n
\n
\n\n

Optimizations

\n\n

The worst case runtime complexity of this algorithm is not exactly stellar: O(n^2 * log n^2). This is because of the leaf matching process, which involves ranking a cartesian product between all leaf nodes of compared trees. Unsurprisingly, the algorithm takes a considerable time to finish for bigger queries.

\n\n

There are still a few basic things we can do in our implementation to help improve performance:

\n\n
    \n
  • Refer to individual node objects using their identifiers (Python\u2019s id()) instead of direct references in sets. This helps avoid costly recursive hash calculations and equality checks.
    • \n
  • Cache bigram histograms to avoid computing them more than once for the same node.
    • \n
  • Compute the canonical SQL string representation for each tree once while caching string representations of all inner nodes. This prevents redundant tree traversals when bigrams are computed.
    • \n
\n\n

At the time of writing only the first two optimizations have been implemented, so there is an opportunity to contribute for anyone who\u2019s interested.

\n\n

Alternative Solutions

\n\n

This section is dedicated to solutions that I\u2019ve investigated, but haven\u2019t tried.

\n\n

First, this section wouldn\u2019t be complete without Tristan Hume\u2019s blog post. Tristan\u2019s solution has a lot in common with the Myers algorithm plus heuristics that is much more clever than what I came up with. The implementation relies on a combination of dynamic programming and A* search algorithm to explore the space of possible matchings and pick the best ones. It seemed to have worked well for Tistan\u2019s specific use case, but after my negative experience with the Myers algorithm, I decided to try something different.

\n\n

Another notable approach is the Gumtree algorithm by Falleri et al. [4]. I discovered this paper after I\u2019d already implemented the algorithm that is the main focus of this post. In sections 5.2 and 5.3 of their paper, the authors compare the two algorithms side by side and claim that Gumtree is significantly better in terms of both runtime performance and accuracy when evaluated on 12 792 pairs of Java source files. This doesn\u2019t surprise me, as the algorithm takes the height of subtrees into account. In my tests, I definitely saw scenarios in which this context would have helped. On top of that, the authors promise O(n^2) runtime complexity in the worst case which, given the Change Distiller's O(n^2 * log n^2), looks particularly tempting. I hope to try this algorithm out at some point, and there is a good chance you see me writing about it in my future posts.

\n\n

Conclusion

\n\n

The Change Distiller algorithm yielded quite satisfactory results in most of my tests. The scenarios in which it fell short mostly concerned identical (or very similar) subtrees located in different parts of the AST. In those cases, node mismatches were frequent and, as a result, edit scripts were somewhat suboptimal.

\n\n

Additionally, the runtime performance of the algorithm leaves a lot to be desired. On trees with 1000 leaf nodes each, the algorithm takes a little under 2 seconds to complete. My implementation still has room for improvement, but this should give you a rough idea of what to expect. It appears that the Gumtree algorithm [4] can help address both of these points. I hope to find bandwidth to work on it soon and then compare the two algorithms side-by-side to find out which one performs better on SQL specifically. In the meantime, Change Distiller definitely gets the job done, and I can now proceed with applying it to some of the use cases I mentioned at the beginning of this post.

\n\n

I\u2019m also curious to learn whether other folks in the industry faced a similar problem, and how they approached it. If you did something similar, I\u2019m interested to hear about your experience.

\n\n

References

\n\n

[1] Eugene W. Myers. An O(ND) Difference Algorithm and Its Variations. Algorithmica 1(2): 251-266 (1986)

\n\n

[2] B. Fluri, M. Wursch, M. Pinzger, and H. Gall. Change Distilling: Tree differencing for fine-grained source code change extraction. IEEE Trans. Software Eng., 33(11):725\u2013743, 2007.

\n\n

[3] S.S. Chawathe, A. Rajaraman, H. Garcia-Molina, and J. Widom. Change Detection in Hierarchically Structured Information. Proc. ACM Sigmod Int\u2019l Conf. Management of Data, pp. 493-504, June 1996

\n\n

[4] Jean-R\u00e9my Falleri, Flor\u00e9al Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus. Fine-grained and Accurate Source Code Differencing. Proceedings of the International Conference on Automated Software Engineering, 2014, V\u00e4steras, Sweden. pp.313-324, 10.1145/2642937.2642982. hal-01054552

\n\n
\n"}, "sqlglot.diff.Insert": {"fullname": "sqlglot.diff.Insert", "modulename": "sqlglot.diff", "qualname": "Insert", "kind": "class", "doc": "

Indicates that a new node has been inserted

\n"}, "sqlglot.diff.Insert.__init__": {"fullname": "sqlglot.diff.Insert.__init__", "modulename": "sqlglot.diff", "qualname": "Insert.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Remove": {"fullname": "sqlglot.diff.Remove", "modulename": "sqlglot.diff", "qualname": "Remove", "kind": "class", "doc": "

Indicates that an existing node has been removed

\n"}, "sqlglot.diff.Remove.__init__": {"fullname": "sqlglot.diff.Remove.__init__", "modulename": "sqlglot.diff", "qualname": "Remove.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Move": {"fullname": "sqlglot.diff.Move", "modulename": "sqlglot.diff", "qualname": "Move", "kind": "class", "doc": "

Indicates that an existing node's position within the tree has changed

\n"}, "sqlglot.diff.Move.__init__": {"fullname": "sqlglot.diff.Move.__init__", "modulename": "sqlglot.diff", "qualname": "Move.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Update": {"fullname": "sqlglot.diff.Update", "modulename": "sqlglot.diff", "qualname": "Update", "kind": "class", "doc": "

Indicates that an existing node has been updated

\n"}, "sqlglot.diff.Update.__init__": {"fullname": "sqlglot.diff.Update.__init__", "modulename": "sqlglot.diff", "qualname": "Update.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.Keep": {"fullname": "sqlglot.diff.Keep", "modulename": "sqlglot.diff", "qualname": "Keep", "kind": "class", "doc": "

Indicates that an existing node hasn't been changed

\n"}, "sqlglot.diff.Keep.__init__": {"fullname": "sqlglot.diff.Keep.__init__", "modulename": "sqlglot.diff", "qualname": "Keep.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.diff": {"fullname": "sqlglot.diff.diff", "modulename": "sqlglot.diff", "qualname": "diff", "kind": "function", "doc": "

Returns the list of changes between the source and the target expressions.

\n\n
Examples:
\n\n
\n
\n
>>> diff(parse_one("a + b"), parse_one("a + c"))\n[\n    Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),\n    Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),\n    Keep(\n        source=(ADD this: ...),\n        target=(ADD this: ...)\n    ),\n    Keep(\n        source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),\n        target=(COLUMN this: (IDENTIFIER this: a, quoted: False))\n    ),\n]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • source: the source expression.
    • \n
  • target: the target expression against which the diff should be calculated.
    • \n
  • matchings: the list of pre-matched node pairs which is used to help the algorithm's\nheuristics produce better results for subtrees that are known by a caller to be matching.\nNote: expression references in this list must refer to the same node objects that are\nreferenced in source / target trees.
    • \n
\n\n
Returns:
\n\n
\n

the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the\n target expression trees. This list represents a sequence of steps needed to transform the source\n expression tree into the target one.

\n
\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None,\t**kwargs: Any) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.diff.ChangeDistiller": {"fullname": "sqlglot.diff.ChangeDistiller", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller", "kind": "class", "doc": "

The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in\ntheir paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by\nChawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.

\n"}, "sqlglot.diff.ChangeDistiller.__init__": {"fullname": "sqlglot.diff.ChangeDistiller.__init__", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.__init__", "kind": "function", "doc": "

\n", "signature": "(f: float = 0.6, t: float = 0.6)"}, "sqlglot.diff.ChangeDistiller.diff": {"fullname": "sqlglot.diff.ChangeDistiller.diff", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.diff", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.errors": {"fullname": "sqlglot.errors", "modulename": "sqlglot.errors", "kind": "module", "doc": "

\n"}, "sqlglot.errors.ErrorLevel": {"fullname": "sqlglot.errors.ErrorLevel", "modulename": "sqlglot.errors", "qualname": "ErrorLevel", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.errors.ErrorLevel.IGNORE": {"fullname": "sqlglot.errors.ErrorLevel.IGNORE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IGNORE", "kind": "variable", "doc": "

Ignore all errors.

\n", "default_value": "<ErrorLevel.IGNORE: 'IGNORE'>"}, "sqlglot.errors.ErrorLevel.WARN": {"fullname": "sqlglot.errors.ErrorLevel.WARN", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.WARN", "kind": "variable", "doc": "

Log all errors.

\n", "default_value": "<ErrorLevel.WARN: 'WARN'>"}, "sqlglot.errors.ErrorLevel.RAISE": {"fullname": "sqlglot.errors.ErrorLevel.RAISE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.RAISE", "kind": "variable", "doc": "

Collect all errors and raise a single exception.

\n", "default_value": "<ErrorLevel.RAISE: 'RAISE'>"}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"fullname": "sqlglot.errors.ErrorLevel.IMMEDIATE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IMMEDIATE", "kind": "variable", "doc": "

Immediately raise an exception on the first error found.

\n", "default_value": "<ErrorLevel.IMMEDIATE: 'IMMEDIATE'>"}, "sqlglot.errors.SqlglotError": {"fullname": "sqlglot.errors.SqlglotError", "modulename": "sqlglot.errors", "qualname": "SqlglotError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "builtins.Exception"}, "sqlglot.errors.UnsupportedError": {"fullname": "sqlglot.errors.UnsupportedError", "modulename": "sqlglot.errors", "qualname": "UnsupportedError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError": {"fullname": "sqlglot.errors.ParseError", "modulename": "sqlglot.errors", "qualname": "ParseError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError.__init__": {"fullname": "sqlglot.errors.ParseError.__init__", "modulename": "sqlglot.errors", "qualname": "ParseError.__init__", "kind": "function", "doc": "

\n", "signature": "(message: str, errors: Optional[List[Dict[str, Any]]] = None)"}, "sqlglot.errors.ParseError.new": {"fullname": "sqlglot.errors.ParseError.new", "modulename": "sqlglot.errors", "qualname": "ParseError.new", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmessage: str,\tdescription: Optional[str] = None,\tline: Optional[int] = None,\tcol: Optional[int] = None,\tstart_context: Optional[str] = None,\thighlight: Optional[str] = None,\tend_context: Optional[str] = None,\tinto_expression: Optional[str] = None) -> sqlglot.errors.ParseError:", "funcdef": "def"}, "sqlglot.errors.TokenError": {"fullname": "sqlglot.errors.TokenError", "modulename": "sqlglot.errors", "qualname": "TokenError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.OptimizeError": {"fullname": "sqlglot.errors.OptimizeError", "modulename": "sqlglot.errors", "qualname": "OptimizeError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.SchemaError": {"fullname": "sqlglot.errors.SchemaError", "modulename": "sqlglot.errors", "qualname": "SchemaError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ExecuteError": {"fullname": "sqlglot.errors.ExecuteError", "modulename": "sqlglot.errors", "qualname": "ExecuteError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.concat_messages": {"fullname": "sqlglot.errors.concat_messages", "modulename": "sqlglot.errors", "qualname": "concat_messages", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[Any], maximum: int) -> str:", "funcdef": "def"}, "sqlglot.errors.merge_errors": {"fullname": "sqlglot.errors.merge_errors", "modulename": "sqlglot.errors", "qualname": "merge_errors", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[sqlglot.errors.ParseError]) -> List[Dict[str, Any]]:", "funcdef": "def"}, "sqlglot.executor": {"fullname": "sqlglot.executor", "modulename": "sqlglot.executor", "kind": "module", "doc": "

Writing a Python SQL engine from scratch

\n\n

Toby Mao

\n\n

Introduction

\n\n

When I first started writing SQLGlot in early 2021, my goal was just to translate SQL queries from SparkSQL to Presto and vice versa. However, over the last year and a half, I've ended up with a full-fledged SQL engine. SQLGlot can now parse and transpile between 18 SQL dialects and can execute all 24 TPC-H SQL queries. The parser and engine are all written from scratch using Python.

\n\n

This post will cover why I went through the effort of creating a Python SQL engine and how a simple query goes from a string to actually transforming data. The following steps are briefly summarized:

\n\n\n\n

Why?

\n\n

I started working on SQLGlot because of my work on the experimentation and metrics platform at Netflix, where I built tools that allowed data scientists to define and compute SQL-based metrics. Netflix relied on multiple engines to query data (Spark, Presto, and Druid), so my team built the metrics platform around PyPika, a Python SQL query builder. This way, definitions could be reused across multiple engines. However, it became quickly apparent that writing python code to programmatically generate SQL was challenging for data scientists, especially those with academic backgrounds, since they were mostly familiar with R and SQL. At the time, the only Python SQL parser was sqlparse, which is not actually a parser but a tokenizer, so having users write raw SQL into the platform wasn't really an option. Some time later, I randomly stumbled across Crafting Interpreters and realized that I could use it as a guide towards creating my own SQL parser/transpiler.

\n\n

Why did I do this? Isn't a Python SQL engine going to be extremely slow?

\n\n

The main reason why I ended up building a SQL engine was...just for entertainment. It's been fun learning about all the things required to actually run a SQL query, and seeing it actually work is extremely rewarding. Before SQLGlot, I had zero experience with lexers, parsers, or compilers.

\n\n

In terms of practical use cases, I planned to use the Python SQL engine for unit testing SQL pipelines. Big data pipelines are tough to test because many of the engines are not open source and cannot be run locally. With SQLGlot, you can take a SQL query targeting a warehouse such as Snowflake and seamlessly run it in CI on mock Python data. It's easy to mock data and create arbitrary UDFs because everything is just Python. Although the implementation is slow and unsuitable for large amounts of data (> 1 million rows), there's very little overhead/startup and you can run queries on test data in a couple of milliseconds.

\n\n

Finally, the components that have been built to support execution can be used as a foundation for a faster engine. I'm inspired by what Apache Calcite has done for the JVM world. Even though Python is commonly used for data, there hasn't been a Calcite for Python. So, you could say that SQLGlot aims to be that framework. For example, it wouldn't take much work to replace the Python execution engine with numpy/pandas/arrow to become a respectably-performing query engine. The implementation would be able to leverage the parser, optimizer, and logical planner, only needing to implement physical execution. There is a lot of work in the Python ecosystem around high performance vectorized computation, which I think could benefit from a pure Python-based AST/plan. Parsing and planning doesn't have to be fast when the bottleneck of running queries is processing terabytes of data. So, having a Python-based ecosystem around SQL is beneficial given the ease of development in Python, despite not having bare metal performance.

\n\n

Parts of SQLGlot's toolkit are being used today by the following:

\n\n
    \n
  • Ibis: A Python library that provides a lightweight, universal interface for data wrangling.\n
      \n
    • Uses the Python SQL expression builder and leverages the optimizer/planner to convert SQL into dataframe operations.
      • \n
    • \n
  • mysql-mimic: Pure-Python implementation of the MySQL server wire protocol\n
      \n
    • Parses / transforms SQL and executes INFORMATION_SCHEMA queries.
      • \n
    • \n
  • Quokka: Push-based vectorized query engine\n
      \n
    • Parse and optimizes SQL.
      • \n
    • \n
  • Splink: Fast, accurate and scalable probabilistic data linkage using your choice of SQL backend.\n
      \n
    • Transpiles queries.
      • \n
    • \n
\n\n

How?

\n\n

There are many steps involved with actually running a simple query like:

\n\n
\n
SELECT\n  bar.a,\n  b + 1 AS b\nFROM bar\nJOIN baz\n  ON bar.a = baz.a\nWHERE bar.a > 1\n
\n
\n\n

In this post, I'll walk through all the steps SQLGlot takes to run this query over Python objects.

\n\n

Tokenizing

\n\n

The first step is to convert the sql string into a list of tokens. SQLGlot's tokenizer is quite simple and can be found here. In a while loop, it checks each character and either appends the character to the current token, or makes a new token.

\n\n

Running the SQLGlot tokenizer shows the output.

\n\n

\"Tokenizer

\n\n

Each keyword has been converted to a SQLGlot Token object. Each token has some metadata associated with it, like line/column information for error messages. Comments are also a part of the token, so that comments can be preserved.

\n\n

Parsing

\n\n

Once a SQL statement is tokenized, we don't need to worry about white space and other formatting, so it's easier to work with. We can now convert the list of tokens into an AST. The SQLGlot parser is a handwritten recursive descent parser.

\n\n

Similar to the tokenizer, it consumes the tokens sequentially, but it instead uses a recursive algorithm. The tokens are converted into a single AST node that presents the SQL query. The SQLGlot parser was designed to support various dialects, so it contains many options for overriding parsing functionality.

\n\n

\"Parser

\n\n

The AST is a generic representation of a given SQL query. Each dialect can override or implement its own generator, which can convert an AST object into syntatically-correct SQL.

\n\n

Optimizing

\n\n

Once we have our AST, we can transform it into an equivalent query that produces the same results more efficiently. When optimizing queries, most engines first convert the AST into a logical plan and then optimize the plan. However, I chose to optimize the AST directly for the following reasons:

\n\n
    \n

  1. It's easier to debug and validate the optimizations when the input and output are both SQL.

    2. \n

  2. Rules can be applied a la carte to transform SQL into a more desirable form.

    3. \n

  3. I wanted a way to generate 'canonical sql'. Having a canonical representation of SQL is useful for understanding if two queries are semantically equivalent (e.g. SELECT 1 + 1 and SELECT 2).

    4. \n
\n\n

I've yet to find another engine that takes this approach, but I'm quite happy with this decision. The optimizer currently does not perform any \"physical optimizations\" such as join reordering. Those are left to the execution layer, as additional statistics and information could become relevant.

\n\n

\"Optimizer

\n\n

The optimizer currently has 17 rules. Each of these rules is applied, transforming the AST in place. The combination of these rules creates \"canonical\" sql that can then be more easily converted into a logical plan and executed.

\n\n

Some example rules are:

\n\n

qualify_tables and qualify_columns

\n\n
    \n
  • Adds all db/catalog qualifiers to tables and forces an alias.
    • \n
  • Ensure each column is unambiguous and expand stars.
    • \n
\n\n
\n
SELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n
\n
\n\n

simplify

\n\n

Boolean and math simplification. Check out all the test cases.

\n\n
\n
((NOT FALSE) AND (x = x)) AND (TRUE OR 1 <> 3);\nx = x;\n\n1 + 1;\n2;\n
\n
\n\n

normalize

\n\n

Attempts to convert all predicates into conjunctive normal form.

\n\n
\n
-- DNF\n(A AND B) OR (B AND C AND D);\n\n-- CNF\n(A OR C) AND (A OR D) AND B;\n
\n
\n\n

unnest_subqueries

\n\n

Converts subqueries in predicates into joins.

\n\n
\n
-- The subquery can be converted into a left join\nSELECT *\nFROM x AS x\nWHERE (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE x.a = y.a\n) = 1;\n\nSELECT *\nFROM x AS x\nLEFT JOIN (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE TRUE\n  GROUP BY y.a\n) AS "_u_0"\n  ON x.a = "_u_0".a\nWHERE ("_u_0".a = 1 AND NOT "_u_0".a IS NULL)\n
\n
\n\n

pushdown_predicates

\n\n

Push down filters into the innermost query.

\n\n
\n
SELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n) AS y\nWHERE y.a = 1;\n\nSELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n  WHERE y.a = 1\n) AS y WHERE TRUE\n
\n
\n\n

annotate_types

\n\n

Infer all types throughout the AST given schema information and function type definitions.

\n\n

Planning

\n\n

After the SQL AST has been \"optimized\", it's much easier to convert into a logical plan. The AST is traversed and converted into a DAG consisting of one of five steps. The different steps are:

\n\n

Scan

\n\n

Selects columns from a table, applies projections, and finally filters the table.

\n\n

Sort

\n\n

Sorts a table for order by expressions.

\n\n

Set

\n\n

Applies the operators union/union all/except/intersect.

\n\n

Aggregate

\n\n

Applies an aggregation/group by.

\n\n

Join

\n\n

Joins multiple tables together.

\n\n

\"Planner

\n\n

The logical plan is quite simple and contains the information required to convert it into a physical plan (execution).

\n\n

Executing

\n\n

Finally, we can actually execute the SQL query. The Python engine is not fast, but it's very small (~400 LOC)! It iterates the DAG with a queue and runs each step, passing each intermediary table to the next step.

\n\n

In order to keep things simple, it evaluates expressions with eval. Because SQLGlot was built primarily to be a transpiler, it was simple to create a \"Python SQL\" dialect. So a SQL expression x + 1 can just be converted into scope['x'] + 1.

\n\n

\"Executor

\n\n

What's next

\n\n

SQLGlot's main focus will always be on parsing/transpiling, but I plan to continue development on the execution engine. I'd like to pass TPC-DS. If someone doesn't beat me to it, I may even take a stab at writing a Pandas/Arrow execution engine.

\n\n

I'm hoping that over time, SQLGlot will spark the Python SQL ecosystem just like Calcite has for Java.

\n\n

Special thanks

\n\n

SQLGlot would not be what it is without it's core contributors. In particular, the execution engine would not exist without Barak Alon and George Sittas.

\n\n

Get in touch

\n\n

If you'd like to chat more about SQLGlot, please join my Slack Channel!

\n\n
\n"}, "sqlglot.executor.execute": {"fullname": "sqlglot.executor.execute", "modulename": "sqlglot.executor", "qualname": "execute", "kind": "function", "doc": "

Run a sql query against data.

\n\n
Arguments:
\n\n
    \n
  • sql: a sql statement.
    • \n
  • schema: database schema.\nThis can either be an instance of Schema or a mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
      2. \n
    2. {db: {table: {col: type}}}
      3. \n
    3. {catalog: {db: {table: {col: type}}}}
      4. \n
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • tables: additional tables to register.
    • \n
\n\n
Returns:
\n\n
\n

Simple columnar data structure.

\n
\n", "signature": "(\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\ttables: Optional[Dict] = None) -> sqlglot.executor.table.Table:", "funcdef": "def"}, "sqlglot.executor.context": {"fullname": "sqlglot.executor.context", "modulename": "sqlglot.executor.context", "kind": "module", "doc": "

\n"}, "sqlglot.executor.context.Context": {"fullname": "sqlglot.executor.context.Context", "modulename": "sqlglot.executor.context", "qualname": "Context", "kind": "class", "doc": "

Execution context for sql expressions.

\n\n

Context is used to hold relevant data tables which can then be queried on with eval.

\n\n

References to columns can either be scalar or vectors. When set_row is used, column references\nevaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient\nevaluation of aggregation functions.

\n"}, "sqlglot.executor.context.Context.__init__": {"fullname": "sqlglot.executor.context.Context.__init__", "modulename": "sqlglot.executor.context", "qualname": "Context.__init__", "kind": "function", "doc": "

Args\n tables: representing the scope of the current execution context.\n env: dictionary of functions within the execution context.

\n", "signature": "(\ttables: Dict[str, sqlglot.executor.table.Table],\tenv: Optional[Dict] = None)"}, "sqlglot.executor.context.Context.eval": {"fullname": "sqlglot.executor.context.Context.eval", "modulename": "sqlglot.executor.context", "qualname": "Context.eval", "kind": "function", "doc": "

\n", "signature": "(self, code):", "funcdef": "def"}, "sqlglot.executor.context.Context.eval_tuple": {"fullname": "sqlglot.executor.context.Context.eval_tuple", "modulename": "sqlglot.executor.context", "qualname": "Context.eval_tuple", "kind": "function", "doc": "

\n", "signature": "(self, codes):", "funcdef": "def"}, "sqlglot.executor.context.Context.add_columns": {"fullname": "sqlglot.executor.context.Context.add_columns", "modulename": "sqlglot.executor.context", "qualname": "Context.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.table_iter": {"fullname": "sqlglot.executor.context.Context.table_iter", "modulename": "sqlglot.executor.context", "qualname": "Context.table_iter", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: str) -> Iterator[Tuple[sqlglot.executor.table.TableIter, sqlglot.executor.context.Context]]:", "funcdef": "def"}, "sqlglot.executor.context.Context.filter": {"fullname": "sqlglot.executor.context.Context.filter", "modulename": "sqlglot.executor.context", "qualname": "Context.filter", "kind": "function", "doc": "

\n", "signature": "(self, condition) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.sort": {"fullname": "sqlglot.executor.context.Context.sort", "modulename": "sqlglot.executor.context", "qualname": "Context.sort", "kind": "function", "doc": "

\n", "signature": "(self, key) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_row": {"fullname": "sqlglot.executor.context.Context.set_row", "modulename": "sqlglot.executor.context", "qualname": "Context.set_row", "kind": "function", "doc": "

\n", "signature": "(self, row: Tuple) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_index": {"fullname": "sqlglot.executor.context.Context.set_index", "modulename": "sqlglot.executor.context", "qualname": "Context.set_index", "kind": "function", "doc": "

\n", "signature": "(self, index: int) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_range": {"fullname": "sqlglot.executor.context.Context.set_range", "modulename": "sqlglot.executor.context", "qualname": "Context.set_range", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> None:", "funcdef": "def"}, "sqlglot.executor.env": {"fullname": "sqlglot.executor.env", "modulename": "sqlglot.executor.env", "kind": "module", "doc": "

\n"}, "sqlglot.executor.env.reverse_key": {"fullname": "sqlglot.executor.env.reverse_key", "modulename": "sqlglot.executor.env", "qualname": "reverse_key", "kind": "class", "doc": "

\n"}, "sqlglot.executor.env.reverse_key.__init__": {"fullname": "sqlglot.executor.env.reverse_key.__init__", "modulename": "sqlglot.executor.env", "qualname": "reverse_key.__init__", "kind": "function", "doc": "

\n", "signature": "(obj)"}, "sqlglot.executor.env.filter_nulls": {"fullname": "sqlglot.executor.env.filter_nulls", "modulename": "sqlglot.executor.env", "qualname": "filter_nulls", "kind": "function", "doc": "

\n", "signature": "(func, empty_null=True):", "funcdef": "def"}, "sqlglot.executor.env.null_if_any": {"fullname": "sqlglot.executor.env.null_if_any", "modulename": "sqlglot.executor.env", "qualname": "null_if_any", "kind": "function", "doc": "

Decorator that makes a function return None if any of the required arguments are None.

\n\n

This also supports decoration with no arguments, e.g.:

\n\n
@null_if_any\ndef foo(a, b): ...\n
\n\n

In which case all arguments are required.

\n", "signature": "(*required):", "funcdef": "def"}, "sqlglot.executor.env.str_position": {"fullname": "sqlglot.executor.env.str_position", "modulename": "sqlglot.executor.env", "qualname": "str_position", "kind": "function", "doc": "

\n", "signature": "(substr, this, position=None):", "funcdef": "def"}, "sqlglot.executor.env.substring": {"fullname": "sqlglot.executor.env.substring", "modulename": "sqlglot.executor.env", "qualname": "substring", "kind": "function", "doc": "

\n", "signature": "(this, start=None, length=None):", "funcdef": "def"}, "sqlglot.executor.env.cast": {"fullname": "sqlglot.executor.env.cast", "modulename": "sqlglot.executor.env", "qualname": "cast", "kind": "function", "doc": "

\n", "signature": "(this, to):", "funcdef": "def"}, "sqlglot.executor.env.ordered": {"fullname": "sqlglot.executor.env.ordered", "modulename": "sqlglot.executor.env", "qualname": "ordered", "kind": "function", "doc": "

\n", "signature": "(this, desc, nulls_first):", "funcdef": "def"}, "sqlglot.executor.env.interval": {"fullname": "sqlglot.executor.env.interval", "modulename": "sqlglot.executor.env", "qualname": "interval", "kind": "function", "doc": "

\n", "signature": "(this, unit):", "funcdef": "def"}, "sqlglot.executor.python": {"fullname": "sqlglot.executor.python", "modulename": "sqlglot.executor.python", "kind": "module", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor": {"fullname": "sqlglot.executor.python.PythonExecutor", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor", "kind": "class", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor.__init__": {"fullname": "sqlglot.executor.python.PythonExecutor.__init__", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.__init__", "kind": "function", "doc": "

\n", "signature": "(env=None, tables=None)"}, "sqlglot.executor.python.PythonExecutor.execute": {"fullname": "sqlglot.executor.python.PythonExecutor.execute", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.execute", "kind": "function", "doc": "

\n", "signature": "(self, plan):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate": {"fullname": "sqlglot.executor.python.PythonExecutor.generate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate", "kind": "function", "doc": "

Convert a SQL expression into literal Python code and compile it into bytecode.

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"fullname": "sqlglot.executor.python.PythonExecutor.generate_tuple", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate_tuple", "kind": "function", "doc": "

Convert an array of SQL expressions into tuple of Python byte code.

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.context": {"fullname": "sqlglot.executor.python.PythonExecutor.context", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.context", "kind": "function", "doc": "

\n", "signature": "(self, tables):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.table": {"fullname": "sqlglot.executor.python.PythonExecutor.table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.table", "kind": "function", "doc": "

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan": {"fullname": "sqlglot.executor.python.PythonExecutor.scan", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.static": {"fullname": "sqlglot.executor.python.PythonExecutor.static", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.static", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_table": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_table", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_csv", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_csv", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.join": {"fullname": "sqlglot.executor.python.PythonExecutor.join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.join", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"fullname": "sqlglot.executor.python.PythonExecutor.nested_loop_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.nested_loop_join", "kind": "function", "doc": "

\n", "signature": "(self, _join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.hash_join": {"fullname": "sqlglot.executor.python.PythonExecutor.hash_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.hash_join", "kind": "function", "doc": "

\n", "signature": "(self, join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.aggregate": {"fullname": "sqlglot.executor.python.PythonExecutor.aggregate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.aggregate", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.sort": {"fullname": "sqlglot.executor.python.PythonExecutor.sort", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.sort", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.set_operation": {"fullname": "sqlglot.executor.python.PythonExecutor.set_operation", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.Python": {"fullname": "sqlglot.executor.python.Python", "modulename": "sqlglot.executor.python", "qualname": "Python", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.executor.python.Python.Tokenizer": {"fullname": "sqlglot.executor.python.Python.Tokenizer", "modulename": "sqlglot.executor.python", "qualname": "Python.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.executor.python.Python.Generator": {"fullname": "sqlglot.executor.python.Python.Generator", "modulename": "sqlglot.executor.python", "qualname": "Python.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.executor.table": {"fullname": "sqlglot.executor.table", "modulename": "sqlglot.executor.table", "kind": "module", "doc": "

\n"}, "sqlglot.executor.table.Table": {"fullname": "sqlglot.executor.table.Table", "modulename": "sqlglot.executor.table", "qualname": "Table", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.Table.__init__": {"fullname": "sqlglot.executor.table.Table.__init__", "modulename": "sqlglot.executor.table", "qualname": "Table.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, rows=None, column_range=None)"}, "sqlglot.executor.table.Table.add_columns": {"fullname": "sqlglot.executor.table.Table.add_columns", "modulename": "sqlglot.executor.table", "qualname": "Table.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.table.Table.append": {"fullname": "sqlglot.executor.table.Table.append", "modulename": "sqlglot.executor.table", "qualname": "Table.append", "kind": "function", "doc": "

\n", "signature": "(self, row):", "funcdef": "def"}, "sqlglot.executor.table.Table.pop": {"fullname": "sqlglot.executor.table.Table.pop", "modulename": "sqlglot.executor.table", "qualname": "Table.pop", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.table.TableIter": {"fullname": "sqlglot.executor.table.TableIter", "modulename": "sqlglot.executor.table", "qualname": "TableIter", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.TableIter.__init__": {"fullname": "sqlglot.executor.table.TableIter.__init__", "modulename": "sqlglot.executor.table", "qualname": "TableIter.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RangeReader": {"fullname": "sqlglot.executor.table.RangeReader", "modulename": "sqlglot.executor.table", "qualname": "RangeReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RangeReader.__init__": {"fullname": "sqlglot.executor.table.RangeReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RangeReader.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RowReader": {"fullname": "sqlglot.executor.table.RowReader", "modulename": "sqlglot.executor.table", "qualname": "RowReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RowReader.__init__": {"fullname": "sqlglot.executor.table.RowReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RowReader.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, column_range=None)"}, "sqlglot.executor.table.Tables": {"fullname": "sqlglot.executor.table.Tables", "modulename": "sqlglot.executor.table", "qualname": "Tables", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "sqlglot.schema.AbstractMappingSchema[sqlglot.executor.table.Table]"}, "sqlglot.executor.table.ensure_tables": {"fullname": "sqlglot.executor.table.ensure_tables", "modulename": "sqlglot.executor.table", "qualname": "ensure_tables", "kind": "function", "doc": "

\n", "signature": "(d: Optional[Dict]) -> sqlglot.executor.table.Tables:", "funcdef": "def"}, "sqlglot.expressions": {"fullname": "sqlglot.expressions", "modulename": "sqlglot.expressions", "kind": "module", "doc": "

Expressions

\n\n

Every AST node in SQLGlot is represented by a subclass of Expression.

\n\n

This module contains the implementation of all supported Expression types. Additionally,\nit exposes a number of helper functions, which are mainly used to programmatically build\nSQL expressions, such as sqlglot.expressions.select.

\n\n
\n"}, "sqlglot.expressions.Expression": {"fullname": "sqlglot.expressions.Expression", "modulename": "sqlglot.expressions", "qualname": "Expression", "kind": "class", "doc": "

The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary\ncontext, such as its child expressions, their names (arg keys), and whether a given child expression\nis optional or not.

\n\n
Attributes:
\n\n
    \n
  • key: a unique key for each class in the Expression hierarchy. This is useful for hashing\nand representing expressions as strings.
    • \n
  • arg_types: determines what arguments (child nodes) are supported by an expression. It\nmaps arg keys to booleans that indicate whether the corresponding args are optional.
    • \n
  • parent: a reference to the parent expression (or None, in case of root expressions).
    • \n
  • arg_key: the arg key an expression is associated with, i.e. the name its parent expression\nuses to refer to it.
    • \n
  • comments: a list of comments that are associated with a given expression. This is used in\norder to preserve comments when transpiling SQL code.
    • \n
  • _type: the sqlglot.expressions.DataType type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.
    • \n
\n\n
Example:
\n\n
\n
\n
>>> class Foo(Expression):\n...     arg_types = {"this": True, "expression": False}\n
\n
\n \n

The above definition informs us that Foo is an Expression that requires an argument called\n \"this\" and may also optionally receive an argument called \"expression\".

\n
\n\n
Arguments:
\n\n
    \n
  • args: a mapping used for retrieving the arguments of an expression, given their arg keys.
    • \n
\n"}, "sqlglot.expressions.Expression.__init__": {"fullname": "sqlglot.expressions.Expression.__init__", "modulename": "sqlglot.expressions", "qualname": "Expression.__init__", "kind": "function", "doc": "

\n", "signature": "(**args: Any)"}, "sqlglot.expressions.Expression.this": {"fullname": "sqlglot.expressions.Expression.this", "modulename": "sqlglot.expressions", "qualname": "Expression.this", "kind": "variable", "doc": "

Retrieves the argument with key \"this\".

\n"}, "sqlglot.expressions.Expression.expression": {"fullname": "sqlglot.expressions.Expression.expression", "modulename": "sqlglot.expressions", "qualname": "Expression.expression", "kind": "variable", "doc": "

Retrieves the argument with key \"expression\".

\n"}, "sqlglot.expressions.Expression.expressions": {"fullname": "sqlglot.expressions.Expression.expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.expressions", "kind": "variable", "doc": "

Retrieves the argument with key \"expressions\".

\n"}, "sqlglot.expressions.Expression.text": {"fullname": "sqlglot.expressions.Expression.text", "modulename": "sqlglot.expressions", "qualname": "Expression.text", "kind": "function", "doc": "

Returns a textual representation of the argument corresponding to \"key\". This can only be used\nfor args that are strings or leaf Expression instances, such as identifiers and literals.

\n", "signature": "(self, key) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.is_string": {"fullname": "sqlglot.expressions.Expression.is_string", "modulename": "sqlglot.expressions", "qualname": "Expression.is_string", "kind": "variable", "doc": "

Checks whether a Literal expression is a string.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_number": {"fullname": "sqlglot.expressions.Expression.is_number", "modulename": "sqlglot.expressions", "qualname": "Expression.is_number", "kind": "variable", "doc": "

Checks whether a Literal expression is a number.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_int": {"fullname": "sqlglot.expressions.Expression.is_int", "modulename": "sqlglot.expressions", "qualname": "Expression.is_int", "kind": "variable", "doc": "

Checks whether a Literal expression is an integer.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_star": {"fullname": "sqlglot.expressions.Expression.is_star", "modulename": "sqlglot.expressions", "qualname": "Expression.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.alias": {"fullname": "sqlglot.expressions.Expression.alias", "modulename": "sqlglot.expressions", "qualname": "Expression.alias", "kind": "variable", "doc": "

Returns the alias of the expression, or an empty string if it's not aliased.

\n", "annotation": ": str"}, "sqlglot.expressions.Expression.output_name": {"fullname": "sqlglot.expressions.Expression.output_name", "modulename": "sqlglot.expressions", "qualname": "Expression.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Expression.copy": {"fullname": "sqlglot.expressions.Expression.copy", "modulename": "sqlglot.expressions", "qualname": "Expression.copy", "kind": "function", "doc": "

Returns a deep copy of the expression.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.add_comments": {"fullname": "sqlglot.expressions.Expression.add_comments", "modulename": "sqlglot.expressions", "qualname": "Expression.add_comments", "kind": "function", "doc": "

\n", "signature": "(self, comments: Optional[List[str]]) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.append": {"fullname": "sqlglot.expressions.Expression.append", "modulename": "sqlglot.expressions", "qualname": "Expression.append", "kind": "function", "doc": "

Appends value to arg_key if it's a list or sets it as a new list.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the list expression arg
    • \n
  • value (Any): value to append to the list
    • \n
\n", "signature": "(self, arg_key, value):", "funcdef": "def"}, "sqlglot.expressions.Expression.set": {"fullname": "sqlglot.expressions.Expression.set", "modulename": "sqlglot.expressions", "qualname": "Expression.set", "kind": "function", "doc": "

Sets arg_key to value.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the expression arg.
    • \n
  • value: value to set the arg to.
    • \n
\n", "signature": "(self, arg_key, value):", "funcdef": "def"}, "sqlglot.expressions.Expression.depth": {"fullname": "sqlglot.expressions.Expression.depth", "modulename": "sqlglot.expressions", "qualname": "Expression.depth", "kind": "variable", "doc": "

Returns the depth of this tree.

\n"}, "sqlglot.expressions.Expression.iter_expressions": {"fullname": "sqlglot.expressions.Expression.iter_expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.iter_expressions", "kind": "function", "doc": "

Yields the key and expression for all arguments, exploding list args.

\n", "signature": "(self) -> Iterator[Tuple[str, sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "

Returns the first node in this tree which matches at least one of\nthe specified types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
\n\n
Returns:
\n\n
\n

The node which matches the criteria or None if no such node was found.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree and only\nyields those that match at least one of the specified expression types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs=True) -> Iterator[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "

Returns a nearest parent matching expression_types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
\n\n
Returns:
\n\n
\n

The parent node.

\n
\n", "signature": "(self, *expression_types: Type[~E]) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "

Returns the parent select statement.

\n"}, "sqlglot.expressions.Expression.same_parent": {"fullname": "sqlglot.expressions.Expression.same_parent", "modulename": "sqlglot.expressions", "qualname": "Expression.same_parent", "kind": "variable", "doc": "

Returns if the parent is the same class as itself.

\n"}, "sqlglot.expressions.Expression.root": {"fullname": "sqlglot.expressions.Expression.root", "modulename": "sqlglot.expressions", "qualname": "Expression.root", "kind": "function", "doc": "

Returns the root expression of this tree.

\n", "signature": "(self) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Expression.walk": {"fullname": "sqlglot.expressions.Expression.walk", "modulename": "sqlglot.expressions", "qualname": "Expression.walk", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree.

\n\n
Arguments:
\n\n
    \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
    • \n
  • prune ((node, parent, arg_key) -> bool): callable that returns True if\nthe generator should stop traversing this branch of the tree.
    • \n
\n\n
Returns:
\n\n
\n

the generator object.

\n
\n", "signature": "(self, bfs=True, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.dfs": {"fullname": "sqlglot.expressions.Expression.dfs", "modulename": "sqlglot.expressions", "qualname": "Expression.dfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe DFS (Depth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, parent=None, key=None, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.bfs": {"fullname": "sqlglot.expressions.Expression.bfs", "modulename": "sqlglot.expressions", "qualname": "Expression.bfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe BFS (Breadth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest": {"fullname": "sqlglot.expressions.Expression.unnest", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest", "kind": "function", "doc": "

Returns the first non parenthesis child or self.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unalias": {"fullname": "sqlglot.expressions.Expression.unalias", "modulename": "sqlglot.expressions", "qualname": "Expression.unalias", "kind": "function", "doc": "

Returns the inner expression if this is an Alias.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest_operands": {"fullname": "sqlglot.expressions.Expression.unnest_operands", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest_operands", "kind": "function", "doc": "

Returns unnested operands as a tuple.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.flatten": {"fullname": "sqlglot.expressions.Expression.flatten", "modulename": "sqlglot.expressions", "qualname": "Expression.flatten", "kind": "function", "doc": "

Returns a generator which yields child nodes who's parents are the same class.

\n\n

A AND B AND C -> [A, B, C]

\n", "signature": "(self, unnest=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.sql": {"fullname": "sqlglot.expressions.Expression.sql", "modulename": "sqlglot.expressions", "qualname": "Expression.sql", "kind": "function", "doc": "

Returns SQL string representation of this tree.

\n\n
Arguments:
\n\n
    \n
  • dialect: the dialect of the output SQL string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • opts: other sqlglot.generator.Generator options.
    • \n
\n\n
Returns:
\n\n
\n

The SQL string.

\n
\n", "signature": "(\tself,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.transform": {"fullname": "sqlglot.expressions.Expression.transform", "modulename": "sqlglot.expressions", "qualname": "Expression.transform", "kind": "function", "doc": "

Recursively visits all tree nodes (excluding already transformed ones)\nand applies the given transformation function to each node.

\n\n
Arguments:
\n\n
    \n
  • fun (function): a function which takes a node as an argument and returns a\nnew transformed node or the same node without modifications. If the function\nreturns None, then the corresponding node will be removed from the syntax tree.
    • \n
  • copy (bool): if set to True a new tree instance is constructed, otherwise the tree is\nmodified in place.
    • \n
\n\n
Returns:
\n\n
\n

The transformed tree.

\n
\n", "signature": "(self, fun, *args, copy=True, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.Expression.replace": {"fullname": "sqlglot.expressions.Expression.replace", "modulename": "sqlglot.expressions", "qualname": "Expression.replace", "kind": "function", "doc": "

Swap out this expression with a new expression.

\n\n

For example::

\n\n
>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n
Arguments:
\n\n
    \n
  • expression (Expression|None): new node
    • \n
\n\n
Returns:
\n\n
\n

The new expression or expressions.

\n
\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.expressions.Expression.pop": {"fullname": "sqlglot.expressions.Expression.pop", "modulename": "sqlglot.expressions", "qualname": "Expression.pop", "kind": "function", "doc": "

Remove this expression from its AST.

\n\n
Returns:
\n\n
\n

The popped expression.

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.assert_is": {"fullname": "sqlglot.expressions.Expression.assert_is", "modulename": "sqlglot.expressions", "qualname": "Expression.assert_is", "kind": "function", "doc": "

Assert that this Expression is an instance of type_.

\n\n

If it is NOT an instance of type_, this raises an assertion error.\nOtherwise, this returns this expression.

\n\n
Examples:
\n\n
\n

This is useful for type security in chained expressions:

\n \n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()\n'SELECT x, z FROM y'\n
\n
\n
\n", "signature": "(self, type_):", "funcdef": "def"}, "sqlglot.expressions.Expression.error_messages": {"fullname": "sqlglot.expressions.Expression.error_messages", "modulename": "sqlglot.expressions", "qualname": "Expression.error_messages", "kind": "function", "doc": "

Checks if this expression is valid (e.g. all mandatory args are set).

\n\n
Arguments:
\n\n
    \n
  • args: a sequence of values that were used to instantiate a Func expression. This is used\nto check that the provided arguments don't exceed the function argument limit.
    • \n
\n\n
Returns:
\n\n
\n

A list of error messages for all possible errors that were found.

\n
\n", "signature": "(self, args: Optional[Sequence] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.Expression.dump": {"fullname": "sqlglot.expressions.Expression.dump", "modulename": "sqlglot.expressions", "qualname": "Expression.dump", "kind": "function", "doc": "

Dump this Expression to a JSON-serializable dict.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.load": {"fullname": "sqlglot.expressions.Expression.load", "modulename": "sqlglot.expressions", "qualname": "Expression.load", "kind": "function", "doc": "

Load a dict (as returned by Expression.dump) into an Expression instance.

\n", "signature": "(cls, obj):", "funcdef": "def"}, "sqlglot.expressions.Condition": {"fullname": "sqlglot.expressions.Condition", "modulename": "sqlglot.expressions", "qualname": "Condition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Condition.and_": {"fullname": "sqlglot.expressions.Condition.and_", "modulename": "sqlglot.expressions", "qualname": "Condition.and_", "kind": "function", "doc": "

AND this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

And: the new condition.

\n
\n", "signature": "(self, *expressions, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.or_": {"fullname": "sqlglot.expressions.Condition.or_", "modulename": "sqlglot.expressions", "qualname": "Condition.or_", "kind": "function", "doc": "

OR this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Or: the new condition.

\n
\n", "signature": "(self, *expressions, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Condition.not_": {"fullname": "sqlglot.expressions.Condition.not_", "modulename": "sqlglot.expressions", "qualname": "Condition.not_", "kind": "function", "doc": "

Wrap this condition with NOT.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • copy (bool): whether or not to copy this object.
    • \n
\n\n
Returns:
\n\n
\n

Not: the new condition.

\n
\n", "signature": "(self, copy=True):", "funcdef": "def"}, "sqlglot.expressions.Condition.as_": {"fullname": "sqlglot.expressions.Condition.as_", "modulename": "sqlglot.expressions", "qualname": "Condition.as_", "kind": "function", "doc": "

\n", "signature": "(\tself,\talias: str | sqlglot.expressions.Identifier,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Alias:", "funcdef": "def"}, "sqlglot.expressions.Condition.isin": {"fullname": "sqlglot.expressions.Condition.isin", "modulename": "sqlglot.expressions", "qualname": "Condition.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy=True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Condition.between": {"fullname": "sqlglot.expressions.Condition.between", "modulename": "sqlglot.expressions", "qualname": "Condition.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlow: Any,\thigh: Any,\tcopy=True,\t**opts) -> sqlglot.expressions.Between:", "funcdef": "def"}, "sqlglot.expressions.Condition.is_": {"fullname": "sqlglot.expressions.Condition.is_", "modulename": "sqlglot.expressions", "qualname": "Condition.is_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Is:", "funcdef": "def"}, "sqlglot.expressions.Condition.like": {"fullname": "sqlglot.expressions.Condition.like", "modulename": "sqlglot.expressions", "qualname": "Condition.like", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Like:", "funcdef": "def"}, "sqlglot.expressions.Condition.ilike": {"fullname": "sqlglot.expressions.Condition.ilike", "modulename": "sqlglot.expressions", "qualname": "Condition.ilike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.ILike:", "funcdef": "def"}, "sqlglot.expressions.Condition.eq": {"fullname": "sqlglot.expressions.Condition.eq", "modulename": "sqlglot.expressions", "qualname": "Condition.eq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.EQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.neq": {"fullname": "sqlglot.expressions.Condition.neq", "modulename": "sqlglot.expressions", "qualname": "Condition.neq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.NEQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.rlike": {"fullname": "sqlglot.expressions.Condition.rlike", "modulename": "sqlglot.expressions", "qualname": "Condition.rlike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.RegexpLike:", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "

Relationships like x = y, x > 1, x >= y.

\n", "bases": "Condition"}, "sqlglot.expressions.DerivedTable": {"fullname": "sqlglot.expressions.DerivedTable", "modulename": "sqlglot.expressions", "qualname": "DerivedTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable": {"fullname": "sqlglot.expressions.Unionable", "modulename": "sqlglot.expressions", "qualname": "Unionable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable.union": {"fullname": "sqlglot.expressions.Unionable.union", "modulename": "sqlglot.expressions", "qualname": "Unionable.union", "kind": "function", "doc": "

Builds a UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Union: the Union expression.

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.intersect": {"fullname": "sqlglot.expressions.Unionable.intersect", "modulename": "sqlglot.expressions", "qualname": "Unionable.intersect", "kind": "function", "doc": "

Builds an INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Intersect: the Intersect expression

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.Unionable.except_": {"fullname": "sqlglot.expressions.Unionable.except_", "modulename": "sqlglot.expressions", "qualname": "Unionable.except_", "kind": "function", "doc": "

Builds an EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Except: the Except expression

\n
\n", "signature": "(self, expression, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.UDTF": {"fullname": "sqlglot.expressions.UDTF", "modulename": "sqlglot.expressions", "qualname": "UDTF", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Cache": {"fullname": "sqlglot.expressions.Cache", "modulename": "sqlglot.expressions", "qualname": "Cache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Uncache": {"fullname": "sqlglot.expressions.Uncache", "modulename": "sqlglot.expressions", "qualname": "Uncache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Create": {"fullname": "sqlglot.expressions.Create", "modulename": "sqlglot.expressions", "qualname": "Create", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Clone": {"fullname": "sqlglot.expressions.Clone", "modulename": "sqlglot.expressions", "qualname": "Clone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Describe": {"fullname": "sqlglot.expressions.Describe", "modulename": "sqlglot.expressions", "qualname": "Describe", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Pragma": {"fullname": "sqlglot.expressions.Pragma", "modulename": "sqlglot.expressions", "qualname": "Pragma", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Set": {"fullname": "sqlglot.expressions.Set", "modulename": "sqlglot.expressions", "qualname": "Set", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetItem": {"fullname": "sqlglot.expressions.SetItem", "modulename": "sqlglot.expressions", "qualname": "SetItem", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Show": {"fullname": "sqlglot.expressions.Show", "modulename": "sqlglot.expressions", "qualname": "Show", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.UserDefinedFunction": {"fullname": "sqlglot.expressions.UserDefinedFunction", "modulename": "sqlglot.expressions", "qualname": "UserDefinedFunction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CharacterSet": {"fullname": "sqlglot.expressions.CharacterSet", "modulename": "sqlglot.expressions", "qualname": "CharacterSet", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.With": {"fullname": "sqlglot.expressions.With", "modulename": "sqlglot.expressions", "qualname": "With", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WithinGroup": {"fullname": "sqlglot.expressions.WithinGroup", "modulename": "sqlglot.expressions", "qualname": "WithinGroup", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CTE": {"fullname": "sqlglot.expressions.CTE", "modulename": "sqlglot.expressions", "qualname": "CTE", "kind": "class", "doc": "

\n", "bases": "DerivedTable"}, "sqlglot.expressions.TableAlias": {"fullname": "sqlglot.expressions.TableAlias", "modulename": "sqlglot.expressions", "qualname": "TableAlias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.BitString": {"fullname": "sqlglot.expressions.BitString", "modulename": "sqlglot.expressions", "qualname": "BitString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.HexString": {"fullname": "sqlglot.expressions.HexString", "modulename": "sqlglot.expressions", "qualname": "HexString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.ByteString": {"fullname": "sqlglot.expressions.ByteString", "modulename": "sqlglot.expressions", "qualname": "ByteString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column": {"fullname": "sqlglot.expressions.Column", "modulename": "sqlglot.expressions", "qualname": "Column", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column.output_name": {"fullname": "sqlglot.expressions.Column.output_name", "modulename": "sqlglot.expressions", "qualname": "Column.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Column.parts": {"fullname": "sqlglot.expressions.Column.parts", "modulename": "sqlglot.expressions", "qualname": "Column.parts", "kind": "variable", "doc": "

Return the parts of a column in order catalog, db, table, name.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.Column.to_dot": {"fullname": "sqlglot.expressions.Column.to_dot", "modulename": "sqlglot.expressions", "qualname": "Column.to_dot", "kind": "function", "doc": "

Converts the column into a dot expression.

\n", "signature": "(self) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.ColumnPosition": {"fullname": "sqlglot.expressions.ColumnPosition", "modulename": "sqlglot.expressions", "qualname": "ColumnPosition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnDef": {"fullname": "sqlglot.expressions.ColumnDef", "modulename": "sqlglot.expressions", "qualname": "ColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterColumn": {"fullname": "sqlglot.expressions.AlterColumn", "modulename": "sqlglot.expressions", "qualname": "AlterColumn", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RenameTable": {"fullname": "sqlglot.expressions.RenameTable", "modulename": "sqlglot.expressions", "qualname": "RenameTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetTag": {"fullname": "sqlglot.expressions.SetTag", "modulename": "sqlglot.expressions", "qualname": "SetTag", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Comment": {"fullname": "sqlglot.expressions.Comment", "modulename": "sqlglot.expressions", "qualname": "Comment", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.MergeTreeTTLAction": {"fullname": "sqlglot.expressions.MergeTreeTTLAction", "modulename": "sqlglot.expressions", "qualname": "MergeTreeTTLAction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.MergeTreeTTL": {"fullname": "sqlglot.expressions.MergeTreeTTL", "modulename": "sqlglot.expressions", "qualname": "MergeTreeTTL", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraint": {"fullname": "sqlglot.expressions.ColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraintKind": {"fullname": "sqlglot.expressions.ColumnConstraintKind", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraintKind", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"fullname": "sqlglot.expressions.AutoIncrementColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"fullname": "sqlglot.expressions.CaseSpecificColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CaseSpecificColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CharacterSetColumnConstraint": {"fullname": "sqlglot.expressions.CharacterSetColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CharacterSetColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CheckColumnConstraint": {"fullname": "sqlglot.expressions.CheckColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CheckColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CollateColumnConstraint": {"fullname": "sqlglot.expressions.CollateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CollateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CommentColumnConstraint": {"fullname": "sqlglot.expressions.CommentColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CommentColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CompressColumnConstraint": {"fullname": "sqlglot.expressions.CompressColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CompressColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DateFormatColumnConstraint": {"fullname": "sqlglot.expressions.DateFormatColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DateFormatColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DefaultColumnConstraint": {"fullname": "sqlglot.expressions.DefaultColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DefaultColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.EncodeColumnConstraint": {"fullname": "sqlglot.expressions.EncodeColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "EncodeColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"fullname": "sqlglot.expressions.GeneratedAsIdentityColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "GeneratedAsIdentityColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.InlineLengthColumnConstraint": {"fullname": "sqlglot.expressions.InlineLengthColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "InlineLengthColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.NotNullColumnConstraint": {"fullname": "sqlglot.expressions.NotNullColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "NotNullColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.OnUpdateColumnConstraint": {"fullname": "sqlglot.expressions.OnUpdateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "OnUpdateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"fullname": "sqlglot.expressions.PrimaryKeyColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PrimaryKeyColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.TitleColumnConstraint": {"fullname": "sqlglot.expressions.TitleColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "TitleColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UniqueColumnConstraint": {"fullname": "sqlglot.expressions.UniqueColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UniqueColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UppercaseColumnConstraint": {"fullname": "sqlglot.expressions.UppercaseColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UppercaseColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PathColumnConstraint": {"fullname": "sqlglot.expressions.PathColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PathColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.Constraint": {"fullname": "sqlglot.expressions.Constraint", "modulename": "sqlglot.expressions", "qualname": "Constraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete": {"fullname": "sqlglot.expressions.Delete", "modulename": "sqlglot.expressions", "qualname": "Delete", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete.delete": {"fullname": "sqlglot.expressions.Delete.delete", "modulename": "sqlglot.expressions", "qualname": "Delete.delete", "kind": "function", "doc": "

Create a DELETE expression or replace the table on an existing DELETE expression.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").sql()\n'DELETE FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table: the table from which to delete.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.where": {"fullname": "sqlglot.expressions.Delete.where", "modulename": "sqlglot.expressions", "qualname": "Delete.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").where("x = 'a' OR x < 'b'").sql()\n"DELETE FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.returning": {"fullname": "sqlglot.expressions.Delete.returning", "modulename": "sqlglot.expressions", "qualname": "Delete.returning", "kind": "function", "doc": "

Set the RETURNING expression. Not supported by all dialects.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").returning("*", dialect="postgres").sql()\n'DELETE FROM tbl RETURNING *'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Drop": {"fullname": "sqlglot.expressions.Drop", "modulename": "sqlglot.expressions", "qualname": "Drop", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Filter": {"fullname": "sqlglot.expressions.Filter", "modulename": "sqlglot.expressions", "qualname": "Filter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Check": {"fullname": "sqlglot.expressions.Check", "modulename": "sqlglot.expressions", "qualname": "Check", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Directory": {"fullname": "sqlglot.expressions.Directory", "modulename": "sqlglot.expressions", "qualname": "Directory", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ForeignKey": {"fullname": "sqlglot.expressions.ForeignKey", "modulename": "sqlglot.expressions", "qualname": "ForeignKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.PrimaryKey": {"fullname": "sqlglot.expressions.PrimaryKey", "modulename": "sqlglot.expressions", "qualname": "PrimaryKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unique": {"fullname": "sqlglot.expressions.Unique", "modulename": "sqlglot.expressions", "qualname": "Unique", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Into": {"fullname": "sqlglot.expressions.Into", "modulename": "sqlglot.expressions", "qualname": "Into", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.From": {"fullname": "sqlglot.expressions.From", "modulename": "sqlglot.expressions", "qualname": "From", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Having": {"fullname": "sqlglot.expressions.Having", "modulename": "sqlglot.expressions", "qualname": "Having", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Hint": {"fullname": "sqlglot.expressions.Hint", "modulename": "sqlglot.expressions", "qualname": "Hint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JoinHint": {"fullname": "sqlglot.expressions.JoinHint", "modulename": "sqlglot.expressions", "qualname": "JoinHint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier": {"fullname": "sqlglot.expressions.Identifier", "modulename": "sqlglot.expressions", "qualname": "Identifier", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier.output_name": {"fullname": "sqlglot.expressions.Identifier.output_name", "modulename": "sqlglot.expressions", "qualname": "Identifier.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Index": {"fullname": "sqlglot.expressions.Index", "modulename": "sqlglot.expressions", "qualname": "Index", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert": {"fullname": "sqlglot.expressions.Insert", "modulename": "sqlglot.expressions", "qualname": "Insert", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert.with_": {"fullname": "sqlglot.expressions.Insert.with_", "modulename": "sqlglot.expressions", "qualname": "Insert.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()\n'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.OnConflict": {"fullname": "sqlglot.expressions.OnConflict", "modulename": "sqlglot.expressions", "qualname": "OnConflict", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Returning": {"fullname": "sqlglot.expressions.Returning", "modulename": "sqlglot.expressions", "qualname": "Returning", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Introducer": {"fullname": "sqlglot.expressions.Introducer", "modulename": "sqlglot.expressions", "qualname": "Introducer", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.National": {"fullname": "sqlglot.expressions.National", "modulename": "sqlglot.expressions", "qualname": "National", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.LoadData": {"fullname": "sqlglot.expressions.LoadData", "modulename": "sqlglot.expressions", "qualname": "LoadData", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Partition": {"fullname": "sqlglot.expressions.Partition", "modulename": "sqlglot.expressions", "qualname": "Partition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Fetch": {"fullname": "sqlglot.expressions.Fetch", "modulename": "sqlglot.expressions", "qualname": "Fetch", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Group": {"fullname": "sqlglot.expressions.Group", "modulename": "sqlglot.expressions", "qualname": "Group", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lambda": {"fullname": "sqlglot.expressions.Lambda", "modulename": "sqlglot.expressions", "qualname": "Lambda", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Limit": {"fullname": "sqlglot.expressions.Limit", "modulename": "sqlglot.expressions", "qualname": "Limit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Literal": {"fullname": "sqlglot.expressions.Literal", "modulename": "sqlglot.expressions", "qualname": "Literal", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Literal.number": {"fullname": "sqlglot.expressions.Literal.number", "modulename": "sqlglot.expressions", "qualname": "Literal.number", "kind": "function", "doc": "

\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "

\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Join": {"fullname": "sqlglot.expressions.Join", "modulename": "sqlglot.expressions", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Join.on": {"fullname": "sqlglot.expressions.Join.on", "modulename": "sqlglot.expressions", "qualname": "Join.on", "kind": "function", "doc": "

Append to or set the ON expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect (str): the dialect used to parse the input expressions.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Join: the modified join expression.

\n
\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Join.using": {"fullname": "sqlglot.expressions.Join.using", "modulename": "sqlglot.expressions", "qualname": "Join.using", "kind": "function", "doc": "

Append to or set the USING expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append (bool): if True, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.
    • \n
  • dialect (str): the dialect used to parse the input expressions.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Join: the modified join expression.

\n
\n", "signature": "(self, *expressions, append=True, dialect=None, copy=True, **opts):", "funcdef": "def"}, "sqlglot.expressions.Lateral": {"fullname": "sqlglot.expressions.Lateral", "modulename": "sqlglot.expressions", "qualname": "Lateral", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.MatchRecognize": {"fullname": "sqlglot.expressions.MatchRecognize", "modulename": "sqlglot.expressions", "qualname": "MatchRecognize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Final": {"fullname": "sqlglot.expressions.Final", "modulename": "sqlglot.expressions", "qualname": "Final", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Offset": {"fullname": "sqlglot.expressions.Offset", "modulename": "sqlglot.expressions", "qualname": "Offset", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Order": {"fullname": "sqlglot.expressions.Order", "modulename": "sqlglot.expressions", "qualname": "Order", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Cluster": {"fullname": "sqlglot.expressions.Cluster", "modulename": "sqlglot.expressions", "qualname": "Cluster", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Distribute": {"fullname": "sqlglot.expressions.Distribute", "modulename": "sqlglot.expressions", "qualname": "Distribute", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Sort": {"fullname": "sqlglot.expressions.Sort", "modulename": "sqlglot.expressions", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Ordered": {"fullname": "sqlglot.expressions.Ordered", "modulename": "sqlglot.expressions", "qualname": "Ordered", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Property": {"fullname": "sqlglot.expressions.Property", "modulename": "sqlglot.expressions", "qualname": "Property", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlgorithmProperty": {"fullname": "sqlglot.expressions.AlgorithmProperty", "modulename": "sqlglot.expressions", "qualname": "AlgorithmProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.AutoIncrementProperty": {"fullname": "sqlglot.expressions.AutoIncrementProperty", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.BlockCompressionProperty": {"fullname": "sqlglot.expressions.BlockCompressionProperty", "modulename": "sqlglot.expressions", "qualname": "BlockCompressionProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CharacterSetProperty": {"fullname": "sqlglot.expressions.CharacterSetProperty", "modulename": "sqlglot.expressions", "qualname": "CharacterSetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ChecksumProperty": {"fullname": "sqlglot.expressions.ChecksumProperty", "modulename": "sqlglot.expressions", "qualname": "ChecksumProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CollateProperty": {"fullname": "sqlglot.expressions.CollateProperty", "modulename": "sqlglot.expressions", "qualname": "CollateProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DataBlocksizeProperty": {"fullname": "sqlglot.expressions.DataBlocksizeProperty", "modulename": "sqlglot.expressions", "qualname": "DataBlocksizeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DefinerProperty": {"fullname": "sqlglot.expressions.DefinerProperty", "modulename": "sqlglot.expressions", "qualname": "DefinerProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistKeyProperty": {"fullname": "sqlglot.expressions.DistKeyProperty", "modulename": "sqlglot.expressions", "qualname": "DistKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistStyleProperty": {"fullname": "sqlglot.expressions.DistStyleProperty", "modulename": "sqlglot.expressions", "qualname": "DistStyleProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.EngineProperty": {"fullname": "sqlglot.expressions.EngineProperty", "modulename": "sqlglot.expressions", "qualname": "EngineProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExecuteAsProperty": {"fullname": "sqlglot.expressions.ExecuteAsProperty", "modulename": "sqlglot.expressions", "qualname": "ExecuteAsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExternalProperty": {"fullname": "sqlglot.expressions.ExternalProperty", "modulename": "sqlglot.expressions", "qualname": "ExternalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FallbackProperty": {"fullname": "sqlglot.expressions.FallbackProperty", "modulename": "sqlglot.expressions", "qualname": "FallbackProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FileFormatProperty": {"fullname": "sqlglot.expressions.FileFormatProperty", "modulename": "sqlglot.expressions", "qualname": "FileFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FreespaceProperty": {"fullname": "sqlglot.expressions.FreespaceProperty", "modulename": "sqlglot.expressions", "qualname": "FreespaceProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.InputOutputFormat": {"fullname": "sqlglot.expressions.InputOutputFormat", "modulename": "sqlglot.expressions", "qualname": "InputOutputFormat", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.IsolatedLoadingProperty": {"fullname": "sqlglot.expressions.IsolatedLoadingProperty", "modulename": "sqlglot.expressions", "qualname": "IsolatedLoadingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.JournalProperty": {"fullname": "sqlglot.expressions.JournalProperty", "modulename": "sqlglot.expressions", "qualname": "JournalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LanguageProperty": {"fullname": "sqlglot.expressions.LanguageProperty", "modulename": "sqlglot.expressions", "qualname": "LanguageProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LikeProperty": {"fullname": "sqlglot.expressions.LikeProperty", "modulename": "sqlglot.expressions", "qualname": "LikeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LocationProperty": {"fullname": "sqlglot.expressions.LocationProperty", "modulename": "sqlglot.expressions", "qualname": "LocationProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LockingProperty": {"fullname": "sqlglot.expressions.LockingProperty", "modulename": "sqlglot.expressions", "qualname": "LockingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LogProperty": {"fullname": "sqlglot.expressions.LogProperty", "modulename": "sqlglot.expressions", "qualname": "LogProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MaterializedProperty": {"fullname": "sqlglot.expressions.MaterializedProperty", "modulename": "sqlglot.expressions", "qualname": "MaterializedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MergeBlockRatioProperty": {"fullname": "sqlglot.expressions.MergeBlockRatioProperty", "modulename": "sqlglot.expressions", "qualname": "MergeBlockRatioProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.NoPrimaryIndexProperty": {"fullname": "sqlglot.expressions.NoPrimaryIndexProperty", "modulename": "sqlglot.expressions", "qualname": "NoPrimaryIndexProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.OnCommitProperty": {"fullname": "sqlglot.expressions.OnCommitProperty", "modulename": "sqlglot.expressions", "qualname": "OnCommitProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.PartitionedByProperty": {"fullname": "sqlglot.expressions.PartitionedByProperty", "modulename": "sqlglot.expressions", "qualname": "PartitionedByProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ReturnsProperty": {"fullname": "sqlglot.expressions.ReturnsProperty", "modulename": "sqlglot.expressions", "qualname": "ReturnsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatProperty": {"fullname": "sqlglot.expressions.RowFormatProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatDelimitedProperty": {"fullname": "sqlglot.expressions.RowFormatDelimitedProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatDelimitedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatSerdeProperty": {"fullname": "sqlglot.expressions.RowFormatSerdeProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatSerdeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SchemaCommentProperty": {"fullname": "sqlglot.expressions.SchemaCommentProperty", "modulename": "sqlglot.expressions", "qualname": "SchemaCommentProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SerdeProperties": {"fullname": "sqlglot.expressions.SerdeProperties", "modulename": "sqlglot.expressions", "qualname": "SerdeProperties", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SetProperty": {"fullname": "sqlglot.expressions.SetProperty", "modulename": "sqlglot.expressions", "qualname": "SetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SettingsProperty": {"fullname": "sqlglot.expressions.SettingsProperty", "modulename": "sqlglot.expressions", "qualname": "SettingsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SortKeyProperty": {"fullname": "sqlglot.expressions.SortKeyProperty", "modulename": "sqlglot.expressions", "qualname": "SortKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SqlSecurityProperty": {"fullname": "sqlglot.expressions.SqlSecurityProperty", "modulename": "sqlglot.expressions", "qualname": "SqlSecurityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.StabilityProperty": {"fullname": "sqlglot.expressions.StabilityProperty", "modulename": "sqlglot.expressions", "qualname": "StabilityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TemporaryProperty": {"fullname": "sqlglot.expressions.TemporaryProperty", "modulename": "sqlglot.expressions", "qualname": "TemporaryProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TransientProperty": {"fullname": "sqlglot.expressions.TransientProperty", "modulename": "sqlglot.expressions", "qualname": "TransientProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.VolatileProperty": {"fullname": "sqlglot.expressions.VolatileProperty", "modulename": "sqlglot.expressions", "qualname": "VolatileProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithDataProperty": {"fullname": "sqlglot.expressions.WithDataProperty", "modulename": "sqlglot.expressions", "qualname": "WithDataProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithJournalTableProperty": {"fullname": "sqlglot.expressions.WithJournalTableProperty", "modulename": "sqlglot.expressions", "qualname": "WithJournalTableProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.Properties": {"fullname": "sqlglot.expressions.Properties", "modulename": "sqlglot.expressions", "qualname": "Properties", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Properties.Location": {"fullname": "sqlglot.expressions.Properties.Location", "modulename": "sqlglot.expressions", "qualname": "Properties.Location", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "

\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "

\n", "signature": "(cls, properties_dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Return": {"fullname": "sqlglot.expressions.Return", "modulename": "sqlglot.expressions", "qualname": "Return", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Reference": {"fullname": "sqlglot.expressions.Reference", "modulename": "sqlglot.expressions", "qualname": "Reference", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple": {"fullname": "sqlglot.expressions.Tuple", "modulename": "sqlglot.expressions", "qualname": "Tuple", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple.isin": {"fullname": "sqlglot.expressions.Tuple.isin", "modulename": "sqlglot.expressions", "qualname": "Tuple.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy=True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "

\n", "bases": "Unionable"}, "sqlglot.expressions.Subqueryable.subquery": {"fullname": "sqlglot.expressions.Subqueryable.subquery", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.subquery", "kind": "function", "doc": "

Convert this expression to an aliased expression that can be used as a Subquery.

\n\n
Example:
\n\n
\n
\n
>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Identifier): an optional alias for the subquery
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the subquery

\n
\n", "signature": "(self, alias=None, copy=True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.with_": {"fullname": "sqlglot.expressions.Subqueryable.with_", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Subqueryable:", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Table.parts": {"fullname": "sqlglot.expressions.Table.parts", "modulename": "sqlglot.expressions", "qualname": "Table.parts", "kind": "variable", "doc": "

Return the parts of a table in order catalog, db, table.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Union": {"fullname": "sqlglot.expressions.Union", "modulename": "sqlglot.expressions", "qualname": "Union", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: The limited subqueryable.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Union.select": {"fullname": "sqlglot.expressions.Union.select", "modulename": "sqlglot.expressions", "qualname": "Union.select", "kind": "function", "doc": "

Append to or set the SELECT of the union recursively.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Union: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.Union.is_star": {"fullname": "sqlglot.expressions.Union.is_star", "modulename": "sqlglot.expressions", "qualname": "Union.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Except": {"fullname": "sqlglot.expressions.Except", "modulename": "sqlglot.expressions", "qualname": "Except", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Intersect": {"fullname": "sqlglot.expressions.Intersect", "modulename": "sqlglot.expressions", "qualname": "Intersect", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Unnest": {"fullname": "sqlglot.expressions.Unnest", "modulename": "sqlglot.expressions", "qualname": "Unnest", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Update": {"fullname": "sqlglot.expressions.Update", "modulename": "sqlglot.expressions", "qualname": "Update", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Values": {"fullname": "sqlglot.expressions.Values", "modulename": "sqlglot.expressions", "qualname": "Values", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Var": {"fullname": "sqlglot.expressions.Var", "modulename": "sqlglot.expressions", "qualname": "Var", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Schema": {"fullname": "sqlglot.expressions.Schema", "modulename": "sqlglot.expressions", "qualname": "Schema", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lock": {"fullname": "sqlglot.expressions.Lock", "modulename": "sqlglot.expressions", "qualname": "Lock", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Select": {"fullname": "sqlglot.expressions.Select", "modulename": "sqlglot.expressions", "qualname": "Select", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "

Set the FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression : the SQL code strings to parse.\nIf a From instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a From.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.group_by": {"fullname": "sqlglot.expressions.Select.group_by", "modulename": "sqlglot.expressions", "qualname": "Select.group_by", "kind": "function", "doc": "

Set the GROUP BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Group.\nIf nothing is passed in then a group by is not applied to the expression
    • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Group expression into a single expression.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.order_by": {"fullname": "sqlglot.expressions.Select.order_by", "modulename": "sqlglot.expressions", "qualname": "Select.order_by", "kind": "function", "doc": "

Set the ORDER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Order.
    • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.sort_by": {"fullname": "sqlglot.expressions.Select.sort_by", "modulename": "sqlglot.expressions", "qualname": "Select.sort_by", "kind": "function", "doc": "

Set the SORT BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl SORT BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a SORT.
    • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.cluster_by": {"fullname": "sqlglot.expressions.Select.cluster_by", "modulename": "sqlglot.expressions", "qualname": "Select.cluster_by", "kind": "function", "doc": "

Set the CLUSTER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Cluster.
    • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.limit": {"fullname": "sqlglot.expressions.Select.limit", "modulename": "sqlglot.expressions", "qualname": "Select.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.offset": {"fullname": "sqlglot.expressions.Select.offset", "modulename": "sqlglot.expressions", "qualname": "Select.offset", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | int | Expression): the SQL code string to parse.\nThis can also be an integer.\nIf a Offset instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Offset.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.select": {"fullname": "sqlglot.expressions.Select.select", "modulename": "sqlglot.expressions", "qualname": "Select.select", "kind": "function", "doc": "

Append to or set the SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.lateral": {"fullname": "sqlglot.expressions.Select.lateral", "modulename": "sqlglot.expressions", "qualname": "Select.lateral", "kind": "function", "doc": "

Append to or set the LATERAL expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect (str): the dialect used to parse the input expressions.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.join": {"fullname": "sqlglot.expressions.Select.join", "modulename": "sqlglot.expressions", "qualname": "Select.join", "kind": "function", "doc": "

Append to or set the JOIN expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n \n
\n
>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
\n
\n \n

Use join_type to change the type of join:

\n \n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code string to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • on (str | Expression): optionally specify the join \"on\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • using (str | Expression): optionally specify the join \"using\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append (bool): if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • join_type (str): If set, alter the parsed join type
    • \n
  • dialect (str): the dialect used to parse the input expressions.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression,\ton=None,\tusing=None,\tappend=True,\tjoin_type=None,\tjoin_alias=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect (str): the dialect used to parse the input expressions.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.having": {"fullname": "sqlglot.expressions.Select.having", "modulename": "sqlglot.expressions", "qualname": "Select.having", "kind": "function", "doc": "

Append to or set the HAVING expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append (bool): if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect (str): the dialect used to parse the input expressions.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.window": {"fullname": "sqlglot.expressions.Select.window", "modulename": "sqlglot.expressions", "qualname": "Select.window", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.qualify": {"fullname": "sqlglot.expressions.Select.qualify", "modulename": "sqlglot.expressions", "qualname": "Select.qualify", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions,\tappend=True,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • ons: the expressions to distinct on
    • \n
  • distinct: whether the Select should be distinct
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*ons: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "

Convert this expression to a CREATE TABLE AS statement.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table (str | Expression): the SQL code string to parse as the table name.\nIf another Expression instance is passed, it will be used as-is.
    • \n
  • properties (dict): an optional mapping of table properties
    • \n
  • dialect (str): the dialect used to parse the input table.
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
  • opts (kwargs): other options to use to parse the input table.
    • \n
\n\n
Returns:
\n\n
\n

Create: the CREATE TABLE AS expression

\n
\n", "signature": "(\tself,\ttable,\tproperties=None,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "

Set the locking read mode for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n
\n \n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • update: if True, the locking type will be FOR UPDATE, else it will be FOR SHARE.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "

Returns the first non subquery.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "

Tags are used for generating arbitrary sql like SELECT x.

\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.DataTypeSize": {"fullname": "sqlglot.expressions.DataTypeSize", "modulename": "sqlglot.expressions", "qualname": "DataTypeSize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.ARRAY": {"fullname": "sqlglot.expressions.DataType.Type.ARRAY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<Type.ARRAY: 'ARRAY'>"}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGDECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGDECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGDECIMAL: 'BIGDECIMAL'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.BIT": {"fullname": "sqlglot.expressions.DataType.Type.BIT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIT: 'BIT'>"}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"fullname": "sqlglot.expressions.DataType.Type.BOOLEAN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<Type.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.DATE": {"fullname": "sqlglot.expressions.DataType.Type.DATE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATE: 'DATE'>"}, "sqlglot.expressions.DataType.Type.DATETIME": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME: 'DATETIME'>"}, "sqlglot.expressions.DataType.Type.DATETIME64": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME64", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME64", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME64: 'DATETIME64'>"}, "sqlglot.expressions.DataType.Type.DECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.DECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.DECIMAL: 'DECIMAL'>"}, "sqlglot.expressions.DataType.Type.DOUBLE": {"fullname": "sqlglot.expressions.DataType.Type.DOUBLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DOUBLE: 'DOUBLE'>"}, "sqlglot.expressions.DataType.Type.FLOAT": {"fullname": "sqlglot.expressions.DataType.Type.FLOAT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<Type.FLOAT: 'FLOAT'>"}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"fullname": "sqlglot.expressions.DataType.Type.GEOGRAPHY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"fullname": "sqlglot.expressions.DataType.Type.GEOMETRY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.INET": {"fullname": "sqlglot.expressions.DataType.Type.INET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INET", "kind": "variable", "doc": "

\n", "default_value": "<Type.INET: 'INET'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT: 'INT'>"}, "sqlglot.expressions.DataType.Type.INT128": {"fullname": "sqlglot.expressions.DataType.Type.INT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT128: 'INT128'>"}, "sqlglot.expressions.DataType.Type.INT256": {"fullname": "sqlglot.expressions.DataType.Type.INT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT256: 'INT256'>"}, "sqlglot.expressions.DataType.Type.INTERVAL": {"fullname": "sqlglot.expressions.DataType.Type.INTERVAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.INTERVAL: 'INTERVAL'>"}, "sqlglot.expressions.DataType.Type.JSON": {"fullname": "sqlglot.expressions.DataType.Type.JSON", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSON", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSON: 'JSON'>"}, "sqlglot.expressions.DataType.Type.JSONB": {"fullname": "sqlglot.expressions.DataType.Type.JSONB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSONB: 'JSONB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MAP": {"fullname": "sqlglot.expressions.DataType.Type.MAP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MAP", "kind": "variable", "doc": "

\n", "default_value": "<Type.MAP: 'MAP'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.MONEY": {"fullname": "sqlglot.expressions.DataType.Type.MONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.NULL": {"fullname": "sqlglot.expressions.DataType.Type.NULL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULL", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULL: 'NULL'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.OBJECT": {"fullname": "sqlglot.expressions.DataType.Type.OBJECT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<Type.OBJECT: 'OBJECT'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.TIME": {"fullname": "sqlglot.expressions.DataType.Type.TIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIME: 'TIME'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.expressions.DataType.Type.TINYINT": {"fullname": "sqlglot.expressions.DataType.Type.TINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TINYINT: 'TINYINT'>"}, "sqlglot.expressions.DataType.Type.UBIGINT": {"fullname": "sqlglot.expressions.DataType.Type.UBIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UBIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UBIGINT: 'UBIGINT'>"}, "sqlglot.expressions.DataType.Type.UINT": {"fullname": "sqlglot.expressions.DataType.Type.UINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT: 'UINT'>"}, "sqlglot.expressions.DataType.Type.USMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.USMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.USMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.USMALLINT: 'USMALLINT'>"}, "sqlglot.expressions.DataType.Type.UTINYINT": {"fullname": "sqlglot.expressions.DataType.Type.UTINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UTINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UTINYINT: 'UTINYINT'>"}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"fullname": "sqlglot.expressions.DataType.Type.UNKNOWN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNKNOWN", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNKNOWN: 'UNKNOWN'>"}, "sqlglot.expressions.DataType.Type.UINT128": {"fullname": "sqlglot.expressions.DataType.Type.UINT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT128: 'UINT128'>"}, "sqlglot.expressions.DataType.Type.UINT256": {"fullname": "sqlglot.expressions.DataType.Type.UINT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT256: 'UINT256'>"}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"fullname": "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.expressions.DataType.Type.UUID": {"fullname": "sqlglot.expressions.DataType.Type.UUID", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UUID", "kind": "variable", "doc": "

\n", "default_value": "<Type.UUID: 'UUID'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARIANT: 'VARIANT'>"}, "sqlglot.expressions.DataType.Type.XML": {"fullname": "sqlglot.expressions.DataType.Type.XML", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.XML", "kind": "variable", "doc": "

\n", "default_value": "<Type.XML: 'XML'>"}, "sqlglot.expressions.DataType.build": {"fullname": "sqlglot.expressions.DataType.build", "modulename": "sqlglot.expressions", "qualname": "DataType.build", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdtype: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.expressions.DataType.is_type": {"fullname": "sqlglot.expressions.DataType.is_type", "modulename": "sqlglot.expressions", "qualname": "DataType.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.PseudoType": {"fullname": "sqlglot.expressions.PseudoType", "modulename": "sqlglot.expressions", "qualname": "PseudoType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SubqueryPredicate": {"fullname": "sqlglot.expressions.SubqueryPredicate", "modulename": "sqlglot.expressions", "qualname": "SubqueryPredicate", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.All": {"fullname": "sqlglot.expressions.All", "modulename": "sqlglot.expressions", "qualname": "All", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Any": {"fullname": "sqlglot.expressions.Any", "modulename": "sqlglot.expressions", "qualname": "Any", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Exists": {"fullname": "sqlglot.expressions.Exists", "modulename": "sqlglot.expressions", "qualname": "Exists", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Overlaps": {"fullname": "sqlglot.expressions.Overlaps", "modulename": "sqlglot.expressions", "qualname": "Overlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot.build": {"fullname": "sqlglot.expressions.Dot.build", "modulename": "sqlglot.expressions", "qualname": "Dot.build", "kind": "function", "doc": "

Build a Dot object with a sequence of expressions.

\n", "signature": "(\tself,\texpressions: Sequence[sqlglot.expressions.Expression]) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "

Kwarg in special functions like func(kwarg => y).

\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayOverlaps": {"fullname": "sqlglot.expressions.ArrayOverlaps", "modulename": "sqlglot.expressions", "qualname": "ArrayOverlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "

Automatically converts unit arg into a var.

\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "

\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "

\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "

The base class for all function expressions.

\n\n
Attributes:
\n\n
    \n
  • is_var_len_args (bool): if set to True the last argument defined in arg_types will be\ntreated as a variable length argument and the argument's value will be stored as a list.
    • \n
  • _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)\nfor this function expression. These values are used to map this node to a name during parsing\nas well as to provide the function's name during SQL string generation. By default the SQL\nname is set to the expression's class name transformed to snake case.
    • \n
\n", "bases": "Condition"}, "sqlglot.expressions.Func.from_arg_list": {"fullname": "sqlglot.expressions.Func.from_arg_list", "modulename": "sqlglot.expressions", "qualname": "Func.from_arg_list", "kind": "function", "doc": "

\n", "signature": "(cls, args):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_names": {"fullname": "sqlglot.expressions.Func.sql_names", "modulename": "sqlglot.expressions", "qualname": "Func.sql_names", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_name": {"fullname": "sqlglot.expressions.Func.sql_name", "modulename": "sqlglot.expressions", "qualname": "Func.sql_name", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.default_parser_mappings": {"fullname": "sqlglot.expressions.Func.default_parser_mappings", "modulename": "sqlglot.expressions", "qualname": "Func.default_parser_mappings", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.AggFunc": {"fullname": "sqlglot.expressions.AggFunc", "modulename": "sqlglot.expressions", "qualname": "AggFunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ParameterizedAgg": {"fullname": "sqlglot.expressions.ParameterizedAgg", "modulename": "sqlglot.expressions", "qualname": "ParameterizedAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Abs": {"fullname": "sqlglot.expressions.Abs", "modulename": "sqlglot.expressions", "qualname": "Abs", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Anonymous": {"fullname": "sqlglot.expressions.Anonymous", "modulename": "sqlglot.expressions", "qualname": "Anonymous", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hll": {"fullname": "sqlglot.expressions.Hll", "modulename": "sqlglot.expressions", "qualname": "Hll", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxDistinct": {"fullname": "sqlglot.expressions.ApproxDistinct", "modulename": "sqlglot.expressions", "qualname": "ApproxDistinct", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Array": {"fullname": "sqlglot.expressions.Array", "modulename": "sqlglot.expressions", "qualname": "Array", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ToChar": {"fullname": "sqlglot.expressions.ToChar", "modulename": "sqlglot.expressions", "qualname": "ToChar", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GenerateSeries": {"fullname": "sqlglot.expressions.GenerateSeries", "modulename": "sqlglot.expressions", "qualname": "GenerateSeries", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAgg": {"fullname": "sqlglot.expressions.ArrayAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ArrayAll": {"fullname": "sqlglot.expressions.ArrayAll", "modulename": "sqlglot.expressions", "qualname": "ArrayAll", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAny": {"fullname": "sqlglot.expressions.ArrayAny", "modulename": "sqlglot.expressions", "qualname": "ArrayAny", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayConcat": {"fullname": "sqlglot.expressions.ArrayConcat", "modulename": "sqlglot.expressions", "qualname": "ArrayConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayContains": {"fullname": "sqlglot.expressions.ArrayContains", "modulename": "sqlglot.expressions", "qualname": "ArrayContains", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.ArrayContained": {"fullname": "sqlglot.expressions.ArrayContained", "modulename": "sqlglot.expressions", "qualname": "ArrayContained", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayFilter": {"fullname": "sqlglot.expressions.ArrayFilter", "modulename": "sqlglot.expressions", "qualname": "ArrayFilter", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayJoin": {"fullname": "sqlglot.expressions.ArrayJoin", "modulename": "sqlglot.expressions", "qualname": "ArrayJoin", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySize": {"fullname": "sqlglot.expressions.ArraySize", "modulename": "sqlglot.expressions", "qualname": "ArraySize", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySort": {"fullname": "sqlglot.expressions.ArraySort", "modulename": "sqlglot.expressions", "qualname": "ArraySort", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySum": {"fullname": "sqlglot.expressions.ArraySum", "modulename": "sqlglot.expressions", "qualname": "ArraySum", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayUnionAgg": {"fullname": "sqlglot.expressions.ArrayUnionAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayUnionAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Avg": {"fullname": "sqlglot.expressions.Avg", "modulename": "sqlglot.expressions", "qualname": "Avg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.AnyValue": {"fullname": "sqlglot.expressions.AnyValue", "modulename": "sqlglot.expressions", "qualname": "AnyValue", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Case": {"fullname": "sqlglot.expressions.Case", "modulename": "sqlglot.expressions", "qualname": "Case", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Case.when": {"fullname": "sqlglot.expressions.Case.when", "modulename": "sqlglot.expressions", "qualname": "Case.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tthen: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Case.else_": {"fullname": "sqlglot.expressions.Case.else_", "modulename": "sqlglot.expressions", "qualname": "Case.else_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Cast": {"fullname": "sqlglot.expressions.Cast", "modulename": "sqlglot.expressions", "qualname": "Cast", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast.output_name": {"fullname": "sqlglot.expressions.Cast.output_name", "modulename": "sqlglot.expressions", "qualname": "Cast.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.CastToStrType": {"fullname": "sqlglot.expressions.CastToStrType", "modulename": "sqlglot.expressions", "qualname": "CastToStrType", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "

\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CountIf": {"fullname": "sqlglot.expressions.CountIf", "modulename": "sqlglot.expressions", "qualname": "CountIf", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentUser": {"fullname": "sqlglot.expressions.CurrentUser", "modulename": "sqlglot.expressions", "qualname": "CurrentUser", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeDiff": {"fullname": "sqlglot.expressions.DatetimeDiff", "modulename": "sqlglot.expressions", "qualname": "DatetimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeTrunc": {"fullname": "sqlglot.expressions.DatetimeTrunc", "modulename": "sqlglot.expressions", "qualname": "DatetimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DayOfWeek": {"fullname": "sqlglot.expressions.DayOfWeek", "modulename": "sqlglot.expressions", "qualname": "DayOfWeek", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfMonth": {"fullname": "sqlglot.expressions.DayOfMonth", "modulename": "sqlglot.expressions", "qualname": "DayOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfYear": {"fullname": "sqlglot.expressions.DayOfYear", "modulename": "sqlglot.expressions", "qualname": "DayOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.WeekOfYear": {"fullname": "sqlglot.expressions.WeekOfYear", "modulename": "sqlglot.expressions", "qualname": "WeekOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LastDateOfMonth": {"fullname": "sqlglot.expressions.LastDateOfMonth", "modulename": "sqlglot.expressions", "qualname": "LastDateOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Extract": {"fullname": "sqlglot.expressions.Extract", "modulename": "sqlglot.expressions", "qualname": "Extract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimestampAdd": {"fullname": "sqlglot.expressions.TimestampAdd", "modulename": "sqlglot.expressions", "qualname": "TimestampAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampSub": {"fullname": "sqlglot.expressions.TimestampSub", "modulename": "sqlglot.expressions", "qualname": "TimestampSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampDiff": {"fullname": "sqlglot.expressions.TimestampDiff", "modulename": "sqlglot.expressions", "qualname": "TimestampDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampTrunc": {"fullname": "sqlglot.expressions.TimestampTrunc", "modulename": "sqlglot.expressions", "qualname": "TimestampTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeAdd": {"fullname": "sqlglot.expressions.TimeAdd", "modulename": "sqlglot.expressions", "qualname": "TimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeSub": {"fullname": "sqlglot.expressions.TimeSub", "modulename": "sqlglot.expressions", "qualname": "TimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeDiff": {"fullname": "sqlglot.expressions.TimeDiff", "modulename": "sqlglot.expressions", "qualname": "TimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeTrunc": {"fullname": "sqlglot.expressions.TimeTrunc", "modulename": "sqlglot.expressions", "qualname": "TimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateFromParts": {"fullname": "sqlglot.expressions.DateFromParts", "modulename": "sqlglot.expressions", "qualname": "DateFromParts", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateStrToDate": {"fullname": "sqlglot.expressions.DateStrToDate", "modulename": "sqlglot.expressions", "qualname": "DateStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDateStr": {"fullname": "sqlglot.expressions.DateToDateStr", "modulename": "sqlglot.expressions", "qualname": "DateToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDi": {"fullname": "sqlglot.expressions.DateToDi", "modulename": "sqlglot.expressions", "qualname": "DateToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Day": {"fullname": "sqlglot.expressions.Day", "modulename": "sqlglot.expressions", "qualname": "Day", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Decode": {"fullname": "sqlglot.expressions.Decode", "modulename": "sqlglot.expressions", "qualname": "Decode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DiToDate": {"fullname": "sqlglot.expressions.DiToDate", "modulename": "sqlglot.expressions", "qualname": "DiToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Encode": {"fullname": "sqlglot.expressions.Encode", "modulename": "sqlglot.expressions", "qualname": "Encode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Exp": {"fullname": "sqlglot.expressions.Exp", "modulename": "sqlglot.expressions", "qualname": "Exp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Explode": {"fullname": "sqlglot.expressions.Explode", "modulename": "sqlglot.expressions", "qualname": "Explode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Floor": {"fullname": "sqlglot.expressions.Floor", "modulename": "sqlglot.expressions", "qualname": "Floor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.FromBase64": {"fullname": "sqlglot.expressions.FromBase64", "modulename": "sqlglot.expressions", "qualname": "FromBase64", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ToBase64": {"fullname": "sqlglot.expressions.ToBase64", "modulename": "sqlglot.expressions", "qualname": "ToBase64", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Greatest": {"fullname": "sqlglot.expressions.Greatest", "modulename": "sqlglot.expressions", "qualname": "Greatest", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GroupConcat": {"fullname": "sqlglot.expressions.GroupConcat", "modulename": "sqlglot.expressions", "qualname": "GroupConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hex": {"fullname": "sqlglot.expressions.Hex", "modulename": "sqlglot.expressions", "qualname": "Hex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.If": {"fullname": "sqlglot.expressions.If", "modulename": "sqlglot.expressions", "qualname": "If", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.IfNull": {"fullname": "sqlglot.expressions.IfNull", "modulename": "sqlglot.expressions", "qualname": "IfNull", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Initcap": {"fullname": "sqlglot.expressions.Initcap", "modulename": "sqlglot.expressions", "qualname": "Initcap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONKeyValue": {"fullname": "sqlglot.expressions.JSONKeyValue", "modulename": "sqlglot.expressions", "qualname": "JSONKeyValue", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JSONObject": {"fullname": "sqlglot.expressions.JSONObject", "modulename": "sqlglot.expressions", "qualname": "JSONObject", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.OpenJSONColumnDef": {"fullname": "sqlglot.expressions.OpenJSONColumnDef", "modulename": "sqlglot.expressions", "qualname": "OpenJSONColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.OpenJSON": {"fullname": "sqlglot.expressions.OpenJSON", "modulename": "sqlglot.expressions", "qualname": "OpenJSON", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONBContains": {"fullname": "sqlglot.expressions.JSONBContains", "modulename": "sqlglot.expressions", "qualname": "JSONBContains", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.JSONExtract": {"fullname": "sqlglot.expressions.JSONExtract", "modulename": "sqlglot.expressions", "qualname": "JSONExtract", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.JSONExtractScalar": {"fullname": "sqlglot.expressions.JSONExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtract": {"fullname": "sqlglot.expressions.JSONBExtract", "modulename": "sqlglot.expressions", "qualname": "JSONBExtract", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtractScalar": {"fullname": "sqlglot.expressions.JSONBExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONBExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONFormat": {"fullname": "sqlglot.expressions.JSONFormat", "modulename": "sqlglot.expressions", "qualname": "JSONFormat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Least": {"fullname": "sqlglot.expressions.Least", "modulename": "sqlglot.expressions", "qualname": "Least", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Length": {"fullname": "sqlglot.expressions.Length", "modulename": "sqlglot.expressions", "qualname": "Length", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Levenshtein": {"fullname": "sqlglot.expressions.Levenshtein", "modulename": "sqlglot.expressions", "qualname": "Levenshtein", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Ln": {"fullname": "sqlglot.expressions.Ln", "modulename": "sqlglot.expressions", "qualname": "Ln", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log": {"fullname": "sqlglot.expressions.Log", "modulename": "sqlglot.expressions", "qualname": "Log", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log2": {"fullname": "sqlglot.expressions.Log2", "modulename": "sqlglot.expressions", "qualname": "Log2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log10": {"fullname": "sqlglot.expressions.Log10", "modulename": "sqlglot.expressions", "qualname": "Log10", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LogicalOr": {"fullname": "sqlglot.expressions.LogicalOr", "modulename": "sqlglot.expressions", "qualname": "LogicalOr", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.LogicalAnd": {"fullname": "sqlglot.expressions.LogicalAnd", "modulename": "sqlglot.expressions", "qualname": "LogicalAnd", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Lower": {"fullname": "sqlglot.expressions.Lower", "modulename": "sqlglot.expressions", "qualname": "Lower", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Map": {"fullname": "sqlglot.expressions.Map", "modulename": "sqlglot.expressions", "qualname": "Map", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StarMap": {"fullname": "sqlglot.expressions.StarMap", "modulename": "sqlglot.expressions", "qualname": "StarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.VarMap": {"fullname": "sqlglot.expressions.VarMap", "modulename": "sqlglot.expressions", "qualname": "VarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.MatchAgainst": {"fullname": "sqlglot.expressions.MatchAgainst", "modulename": "sqlglot.expressions", "qualname": "MatchAgainst", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Max": {"fullname": "sqlglot.expressions.Max", "modulename": "sqlglot.expressions", "qualname": "Max", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.MD5": {"fullname": "sqlglot.expressions.MD5", "modulename": "sqlglot.expressions", "qualname": "MD5", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Min": {"fullname": "sqlglot.expressions.Min", "modulename": "sqlglot.expressions", "qualname": "Min", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Month": {"fullname": "sqlglot.expressions.Month", "modulename": "sqlglot.expressions", "qualname": "Month", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Nvl2": {"fullname": "sqlglot.expressions.Nvl2", "modulename": "sqlglot.expressions", "qualname": "Nvl2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Posexplode": {"fullname": "sqlglot.expressions.Posexplode", "modulename": "sqlglot.expressions", "qualname": "Posexplode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Pow": {"fullname": "sqlglot.expressions.Pow", "modulename": "sqlglot.expressions", "qualname": "Pow", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.PercentileCont": {"fullname": "sqlglot.expressions.PercentileCont", "modulename": "sqlglot.expressions", "qualname": "PercentileCont", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.PercentileDisc": {"fullname": "sqlglot.expressions.PercentileDisc", "modulename": "sqlglot.expressions", "qualname": "PercentileDisc", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantile": {"fullname": "sqlglot.expressions.Quantile", "modulename": "sqlglot.expressions", "qualname": "Quantile", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxQuantile": {"fullname": "sqlglot.expressions.ApproxQuantile", "modulename": "sqlglot.expressions", "qualname": "ApproxQuantile", "kind": "class", "doc": "

\n", "bases": "Quantile"}, "sqlglot.expressions.RangeN": {"fullname": "sqlglot.expressions.RangeN", "modulename": "sqlglot.expressions", "qualname": "RangeN", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ReadCSV": {"fullname": "sqlglot.expressions.ReadCSV", "modulename": "sqlglot.expressions", "qualname": "ReadCSV", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Reduce": {"fullname": "sqlglot.expressions.Reduce", "modulename": "sqlglot.expressions", "qualname": "Reduce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpExtract": {"fullname": "sqlglot.expressions.RegexpExtract", "modulename": "sqlglot.expressions", "qualname": "RegexpExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpLike": {"fullname": "sqlglot.expressions.RegexpLike", "modulename": "sqlglot.expressions", "qualname": "RegexpLike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpILike": {"fullname": "sqlglot.expressions.RegexpILike", "modulename": "sqlglot.expressions", "qualname": "RegexpILike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpSplit": {"fullname": "sqlglot.expressions.RegexpSplit", "modulename": "sqlglot.expressions", "qualname": "RegexpSplit", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Repeat": {"fullname": "sqlglot.expressions.Repeat", "modulename": "sqlglot.expressions", "qualname": "Repeat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Round": {"fullname": "sqlglot.expressions.Round", "modulename": "sqlglot.expressions", "qualname": "Round", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RowNumber": {"fullname": "sqlglot.expressions.RowNumber", "modulename": "sqlglot.expressions", "qualname": "RowNumber", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SafeDivide": {"fullname": "sqlglot.expressions.SafeDivide", "modulename": "sqlglot.expressions", "qualname": "SafeDivide", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SetAgg": {"fullname": "sqlglot.expressions.SetAgg", "modulename": "sqlglot.expressions", "qualname": "SetAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.SHA": {"fullname": "sqlglot.expressions.SHA", "modulename": "sqlglot.expressions", "qualname": "SHA", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SHA2": {"fullname": "sqlglot.expressions.SHA2", "modulename": "sqlglot.expressions", "qualname": "SHA2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SortArray": {"fullname": "sqlglot.expressions.SortArray", "modulename": "sqlglot.expressions", "qualname": "SortArray", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Split": {"fullname": "sqlglot.expressions.Split", "modulename": "sqlglot.expressions", "qualname": "Split", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Substring": {"fullname": "sqlglot.expressions.Substring", "modulename": "sqlglot.expressions", "qualname": "Substring", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StandardHash": {"fullname": "sqlglot.expressions.StandardHash", "modulename": "sqlglot.expressions", "qualname": "StandardHash", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrPosition": {"fullname": "sqlglot.expressions.StrPosition", "modulename": "sqlglot.expressions", "qualname": "StrPosition", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToDate": {"fullname": "sqlglot.expressions.StrToDate", "modulename": "sqlglot.expressions", "qualname": "StrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToTime": {"fullname": "sqlglot.expressions.StrToTime", "modulename": "sqlglot.expressions", "qualname": "StrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToUnix": {"fullname": "sqlglot.expressions.StrToUnix", "modulename": "sqlglot.expressions", "qualname": "StrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NumberToStr": {"fullname": "sqlglot.expressions.NumberToStr", "modulename": "sqlglot.expressions", "qualname": "NumberToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Struct": {"fullname": "sqlglot.expressions.Struct", "modulename": "sqlglot.expressions", "qualname": "Struct", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StructExtract": {"fullname": "sqlglot.expressions.StructExtract", "modulename": "sqlglot.expressions", "qualname": "StructExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Sum": {"fullname": "sqlglot.expressions.Sum", "modulename": "sqlglot.expressions", "qualname": "Sum", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Sqrt": {"fullname": "sqlglot.expressions.Sqrt", "modulename": "sqlglot.expressions", "qualname": "Sqrt", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Stddev": {"fullname": "sqlglot.expressions.Stddev", "modulename": "sqlglot.expressions", "qualname": "Stddev", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevPop": {"fullname": "sqlglot.expressions.StddevPop", "modulename": "sqlglot.expressions", "qualname": "StddevPop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevSamp": {"fullname": "sqlglot.expressions.StddevSamp", "modulename": "sqlglot.expressions", "qualname": "StddevSamp", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.TimeToStr": {"fullname": "sqlglot.expressions.TimeToStr", "modulename": "sqlglot.expressions", "qualname": "TimeToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToTimeStr": {"fullname": "sqlglot.expressions.TimeToTimeStr", "modulename": "sqlglot.expressions", "qualname": "TimeToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToUnix": {"fullname": "sqlglot.expressions.TimeToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToDate": {"fullname": "sqlglot.expressions.TimeStrToDate", "modulename": "sqlglot.expressions", "qualname": "TimeStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToTime": {"fullname": "sqlglot.expressions.TimeStrToTime", "modulename": "sqlglot.expressions", "qualname": "TimeStrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToUnix": {"fullname": "sqlglot.expressions.TimeStrToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeStrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Trim": {"fullname": "sqlglot.expressions.Trim", "modulename": "sqlglot.expressions", "qualname": "Trim", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsAdd": {"fullname": "sqlglot.expressions.TsOrDsAdd", "modulename": "sqlglot.expressions", "qualname": "TsOrDsAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TsOrDsToDateStr": {"fullname": "sqlglot.expressions.TsOrDsToDateStr", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsToDate": {"fullname": "sqlglot.expressions.TsOrDsToDate", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NextValueFor": {"fullname": "sqlglot.expressions.NextValueFor", "modulename": "sqlglot.expressions", "qualname": "NextValueFor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "

Gracefully handle a possible string or expression.

\n\n
Example:
\n\n
\n
\n
>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • sql_or_expression: the SQL code string or an expression
    • \n
  • into: the SQLGlot Expression to parse into
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • prefix: a string to prefix the sql with before it gets parsed\n(automatically includes a space)
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the parsed or given expression.

\n
\n", "signature": "(\tsql_or_expression: Union[str, sqlglot.expressions.Expression],\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "

Initializes a syntax tree from one UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Union: the syntax tree for the UNION expression.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "

Initializes a syntax tree from one INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Intersect: the syntax tree for the INTERSECT expression.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "

Initializes a syntax tree from one EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left (str | Expression): the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right (str | Expression): the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct (bool): set the DISTINCT flag if and only if this is true.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • opts (kwargs): other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Except: the syntax tree for the EXCEPT statement.

\n
\n", "signature": "(left, right, distinct=True, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "

Initializes a syntax tree from one or multiple SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code string to parse as the expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "

Initializes a syntax tree from a FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression: the SQL code string to parse as the FROM expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "

Creates an update statement.

\n\n
Example:
\n\n
\n
\n
>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *properties: dictionary of properties to set which are\nauto converted to sql objects eg None -> NULL
    • \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • from_: sql statement parsed into a FROM statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Update: the syntax tree for the UPDATE statement.

\n
\n", "signature": "(\ttable: str | sqlglot.expressions.Table,\tproperties: dict,\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tfrom_: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "

Builds a delete statement.

\n\n
Example:
\n\n
\n
\n
>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • returning: sql conditional parsed into a RETURNING statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the syntax tree for the DELETE statement.

\n
\n", "signature": "(\ttable: Union[str, sqlglot.expressions.Expression],\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\treturning: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.insert": {"fullname": "sqlglot.expressions.insert", "modulename": "sqlglot.expressions", "qualname": "insert", "kind": "function", "doc": "

Builds an INSERT statement.

\n\n
Example:
\n\n
\n
\n
>>> insert("VALUES (1, 2, 3)", "tbl").sql()\n'INSERT INTO tbl VALUES (1, 2, 3)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the sql string or expression of the INSERT statement
    • \n
  • into: the tbl to insert data to.
    • \n
  • columns: optionally the table's column names.
    • \n
  • overwrite: whether to INSERT OVERWRITE or not.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Insert: the syntax tree for the INSERT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tinto: Union[str, sqlglot.expressions.Expression],\tcolumns: Optional[Sequence[Union[str, sqlglot.expressions.Expression]]] = None,\toverwrite: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "

Initialize a logical condition expression.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").sql()\n'x = 1'\n
\n
\n \n

This is helpful for composing larger logical syntax trees:

\n \n
\n
>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression (str | Expression): the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect (str): the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • copy (bool): Whether or not to copy expression (only applies to expressions).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Condition: the expression

\n
\n", "signature": "(\texpression,\tdialect=None,\tcopy=True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "

Combine multiple conditions with an AND logical operator.

\n\n
Example:
\n\n
\n
\n
>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

And: the new condition

\n
\n", "signature": "(*expressions, dialect=None, copy=True, **opts) -> sqlglot.expressions.And:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "

Combine multiple conditions with an OR logical operator.

\n\n
Example:
\n\n
\n
\n
>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • copy (bool): whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Or: the new condition

\n
\n", "signature": "(*expressions, dialect=None, copy=True, **opts) -> sqlglot.expressions.Or:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "

Wrap a condition with a NOT operator.

\n\n
Example:
\n\n
\n
\n
>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Not: the new condition

\n
\n", "signature": "(expression, dialect=None, copy=True, **opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "

\n", "signature": "(expression, copy=True) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "

Builds an identifier.

\n\n
Arguments:
\n\n
    \n
  • name: The name to turn into an identifier.
    • \n
  • quoted: Whether or not force quote the identifier.
    • \n
  • copy: Whether or not to copy a passed in Identefier node.
    • \n
\n\n
Returns:
\n\n
\n

The identifier ast node.

\n
\n", "signature": "(name, quoted=None, copy=True):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "

Builds an interval expression from a string like '1 day' or '5 months'.

\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "

Create a table expression from a [catalog].[schema].[table] sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: a [catalog].[schema].[table] string.
    • \n
  • dialect: the source dialect according to which the table name will be parsed.
    • \n
  • kwargs: the kwargs to instantiate the resulting Table expression with.
    • \n
\n\n
Returns:
\n\n
\n

A table expression.

\n
\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "

Create a column from a [table].[column] sql path. Schema is optional.

\n\n

If a column is passed in then that column is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: [table].[column] string
    • \n
\n\n
Returns:
\n\n
\n

Table: A column expression

\n
\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "

Create an Alias expression.

\n\n
Example:
\n\n
\n
\n
>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n
\n \n
\n
>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias: the alias name to use. If the name has\nspecial characters it is quoted.
    • \n
  • table: Whether or not to create a table alias, can also be a list of columns.
    • \n
  • quoted: whether or not to quote the alias
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: Whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the aliased expression

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "

Build a subquery expression.

\n\n
Example:
\n\n
\n
\n
>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (str | Expression): the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias (str | Expression): the alias name to use.
    • \n
  • dialect (str): the dialect used to parse the input expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: a new select with the subquery expression included

\n
\n", "signature": "(expression, alias=None, dialect=None, **opts):", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "

Build a Column.

\n\n
Arguments:
\n\n
    \n
  • col: column name
    • \n
  • table: table name
    • \n
  • db: db name
    • \n
  • catalog: catalog name
    • \n
  • quoted: whether or not to force quote each part
    • \n
\n\n
Returns:
\n\n
\n

Column: column instance

\n
\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tdb: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tcatalog: Union[str, sqlglot.expressions.Identifier, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "

Cast an expression to a data type.

\n\n
Example:
\n\n
\n
\n
>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to cast.
    • \n
  • to: The datatype to cast to.
    • \n
\n\n
Returns:
\n\n
\n

A cast node.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "

Build a Table.

\n\n
Arguments:
\n\n
    \n
  • table (str | Expression): column name
    • \n
  • db (str | Expression): db name
    • \n
  • catalog (str | Expression): catalog name
    • \n
\n\n
Returns:
\n\n
\n

Table: table instance

\n
\n", "signature": "(\ttable,\tdb=None,\tcatalog=None,\tquoted=None,\talias=None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "

Build VALUES statement.

\n\n
Example:
\n\n
\n
\n
>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: values statements that will be converted to SQL
    • \n
  • alias: optional alias
    • \n
  • columns: Optional list of ordered column names or ordered dictionary of column names to types.\nIf either are provided then an alias is also required.
    • \n
\n\n
Returns:
\n\n
\n

Values: the Values expression object

\n
\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "

Build a SQL variable.

\n\n
Example:
\n\n
\n
\n
>>> repr(var('x'))\n'(VAR this: x)'\n
\n
\n \n
\n
>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: The name of the var or an expression who's name will become the var.
    • \n
\n\n
Returns:
\n\n
\n

The new variable node.

\n
\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "

Build ALTER TABLE... RENAME... expression

\n\n
Arguments:
\n\n
    \n
  • old_name: The old name of the table
    • \n
  • new_name: The new name of the table
    • \n
\n\n
Returns:
\n\n
\n

Alter table expression

\n
\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "

Convert a python value into an expression object.

\n\n

Raises an error if a conversion is not possible.

\n\n
Arguments:
\n\n
    \n
  • value: A python object.
    • \n
  • copy: Whether or not to copy value (only applies to Expressions and collections).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the equivalent expression object.

\n
\n", "signature": "(value: Any, copy: bool = False) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "

Replace children of an expression with the result of a lambda fun(child) -> exp.

\n", "signature": "(expression, fun, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "

Return all table names referenced through columns in an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to find table names
    • \n
\n\n
Returns:
\n\n
\n

list: A list of unique names

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "

Get the full name of a table as a string.

\n\n
Arguments:
\n\n
    \n
  • table (exp.Table | str): table expression node or string.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The table name.

\n
\n", "signature": "(table) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "

Replace all tables in expression according to the mapping.

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression node to be transformed and replaced.
    • \n
  • mapping (Dict[str, str]): mapping of table names.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression, mapping):", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "

Replace placeholders in an expression.

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression node to be transformed and replaced.
    • \n
  • args: positional names that will substitute unnamed placeholders in the given order.
    • \n
  • kwargs: keyword arguments that will substitute named placeholders.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n...     parse_one("select * from :tbl where ? = ?"),\n...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")\n... ).sql()\n"SELECT * FROM foo WHERE str_col = 'b'"\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression, *args, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "

Transforms an expression by expanding all referenced sources into subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n
\n \n
\n
>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()\n'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to expand.
    • \n
  • sources: A dictionary of name to Subqueryables.
    • \n
  • copy: Whether or not to copy the expression during transformation. Defaults to True.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "

Returns a Func expression.

\n\n
Examples:
\n\n
\n
\n
>>> func("abs", 5).sql()\n'ABS(5)'\n
\n
\n \n
\n
>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: the name of the function to build.
    • \n
  • args: the args used to instantiate the function of interest.
    • \n
  • dialect: the source dialect.
    • \n
  • kwargs: the kwargs used to instantiate the function of interest.
    • \n
\n\n
Note:
\n\n
\n

The arguments args and kwargs are mutually exclusive.

\n
\n\n
Returns:
\n\n
\n

An instance of the function of interest, or an anonymous function, if name doesn't\n correspond to an existing sqlglot.expressions.Func class.

\n
\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "

Returns a true Boolean expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "

Returns a false Boolean expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "

Returns a Null expression.

\n", "signature": "():", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "

\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n"}, "sqlglot.generator.Generator.__init__": {"fullname": "sqlglot.generator.Generator.__init__", "modulename": "sqlglot.generator", "qualname": "Generator.__init__", "kind": "function", "doc": "

\n", "signature": "(\ttime_mapping=None,\ttime_trie=None,\tpretty=None,\tquote_start=None,\tquote_end=None,\tidentifier_start=None,\tidentifier_end=None,\tbit_start=None,\tbit_end=None,\thex_start=None,\thex_end=None,\tbyte_start=None,\tbyte_end=None,\tidentify=False,\tnormalize=False,\tstring_escape=None,\tidentifier_escape=None,\tpad=2,\tindent=2,\tindex_offset=0,\tunnest_column_only=False,\talias_post_tablesample=False,\tnormalize_functions='upper',\tunsupported_level=<ErrorLevel.WARN: 'WARN'>,\tnull_ordering=None,\tmax_unsupported=3,\tleading_comma=False,\tmax_text_width=80,\tcomments=True)"}, "sqlglot.generator.Generator.generate": {"fullname": "sqlglot.generator.Generator.generate", "modulename": "sqlglot.generator", "qualname": "Generator.generate", "kind": "function", "doc": "

Generates a SQL string by interpreting the given syntax tree.

\n\n

Args\n expression: the syntax tree.\n cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.

\n\n

Returns\n the SQL string.

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\tcache: Optional[Dict[int, str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "

\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "

\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "

\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\texpression: Optional[sqlglot.expressions.Expression] = None,\tcomments: Optional[List[str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "

\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnposition_sql": {"fullname": "sqlglot.generator.Generator.columnposition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnposition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnPosition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnconstraint_sql": {"fullname": "sqlglot.generator.Generator.columnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.autoincrementcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.compresscolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.compresscolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CompressColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.notnullcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.notnullcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NotNullColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.primarykeycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykeycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PrimaryKeyColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.uniquecolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uniquecolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.create_sql": {"fullname": "sqlglot.generator.Generator.create_sql", "modulename": "sqlglot.generator", "qualname": "Generator.create_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.clone_sql": {"fullname": "sqlglot.generator.Generator.clone_sql", "modulename": "sqlglot.generator", "qualname": "Generator.clone_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Clone) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.describe_sql": {"fullname": "sqlglot.generator.Generator.describe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.prepend_ctes": {"fullname": "sqlglot.generator.Generator.prepend_ctes", "modulename": "sqlglot.generator", "qualname": "Generator.prepend_ctes", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, sql: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_sql": {"fullname": "sqlglot.generator.Generator.with_sql", "modulename": "sqlglot.generator", "qualname": "Generator.with_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cte_sql": {"fullname": "sqlglot.generator.Generator.cte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablealias_sql": {"fullname": "sqlglot.generator.Generator.tablealias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablealias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TableAlias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitstring_sql": {"fullname": "sqlglot.generator.Generator.bitstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hexstring_sql": {"fullname": "sqlglot.generator.Generator.hexstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hexstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.HexString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bytestring_sql": {"fullname": "sqlglot.generator.Generator.bytestring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bytestring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ByteString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatypesize_sql": {"fullname": "sqlglot.generator.Generator.datatypesize_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatypesize_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataTypeSize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatype_sql": {"fullname": "sqlglot.generator.Generator.datatype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.directory_sql": {"fullname": "sqlglot.generator.Generator.directory_sql", "modulename": "sqlglot.generator", "qualname": "Generator.directory_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Directory) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.delete_sql": {"fullname": "sqlglot.generator.Generator.delete_sql", "modulename": "sqlglot.generator", "qualname": "Generator.delete_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Delete) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.drop_sql": {"fullname": "sqlglot.generator.Generator.drop_sql", "modulename": "sqlglot.generator", "qualname": "Generator.drop_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Drop) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_sql": {"fullname": "sqlglot.generator.Generator.except_sql", "modulename": "sqlglot.generator", "qualname": "Generator.except_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_op": {"fullname": "sqlglot.generator.Generator.except_op", "modulename": "sqlglot.generator", "qualname": "Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fetch_sql": {"fullname": "sqlglot.generator.Generator.fetch_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fetch_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Fetch) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.filter_sql": {"fullname": "sqlglot.generator.Generator.filter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.filter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Filter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hint_sql": {"fullname": "sqlglot.generator.Generator.hint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Hint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.index_sql": {"fullname": "sqlglot.generator.Generator.index_sql", "modulename": "sqlglot.generator", "qualname": "Generator.index_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Index) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.identifier_sql": {"fullname": "sqlglot.generator.Generator.identifier_sql", "modulename": "sqlglot.generator", "qualname": "Generator.identifier_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Identifier) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.inputoutputformat_sql": {"fullname": "sqlglot.generator.Generator.inputoutputformat_sql", "modulename": "sqlglot.generator", "qualname": "Generator.inputoutputformat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.InputOutputFormat) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.national_sql": {"fullname": "sqlglot.generator.Generator.national_sql", "modulename": "sqlglot.generator", "qualname": "Generator.national_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.National) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_sql": {"fullname": "sqlglot.generator.Generator.partition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Partition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties_sql": {"fullname": "sqlglot.generator.Generator.properties_sql", "modulename": "sqlglot.generator", "qualname": "Generator.properties_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.root_properties": {"fullname": "sqlglot.generator.Generator.root_properties", "modulename": "sqlglot.generator", "qualname": "Generator.root_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties": {"fullname": "sqlglot.generator.Generator.properties", "modulename": "sqlglot.generator", "qualname": "Generator.properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties,\tprefix: str = '',\tsep: str = ', ',\tsuffix: str = '',\twrapped: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_properties": {"fullname": "sqlglot.generator.Generator.with_properties", "modulename": "sqlglot.generator", "qualname": "Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.locate_properties": {"fullname": "sqlglot.generator.Generator.locate_properties", "modulename": "sqlglot.generator", "qualname": "Generator.locate_properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties) -> Dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]:", "funcdef": "def"}, "sqlglot.generator.Generator.property_sql": {"fullname": "sqlglot.generator.Generator.property_sql", "modulename": "sqlglot.generator", "qualname": "Generator.property_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeproperty_sql": {"fullname": "sqlglot.generator.Generator.likeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fallbackproperty_sql": {"fullname": "sqlglot.generator.Generator.fallbackproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fallbackproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FallbackProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.journalproperty_sql": {"fullname": "sqlglot.generator.Generator.journalproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.journalproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JournalProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.freespaceproperty_sql": {"fullname": "sqlglot.generator.Generator.freespaceproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.freespaceproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FreespaceProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.checksumproperty_sql": {"fullname": "sqlglot.generator.Generator.checksumproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.checksumproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ChecksumProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"fullname": "sqlglot.generator.Generator.mergeblockratioproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergeblockratioproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeBlockRatioProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"fullname": "sqlglot.generator.Generator.datablocksizeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datablocksizeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataBlocksizeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"fullname": "sqlglot.generator.Generator.blockcompressionproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.blockcompressionproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BlockCompressionProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"fullname": "sqlglot.generator.Generator.isolatedloadingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.isolatedloadingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IsolatedLoadingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lockingproperty_sql": {"fullname": "sqlglot.generator.Generator.lockingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lockingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LockingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withdataproperty_sql": {"fullname": "sqlglot.generator.Generator.withdataproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withdataproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithDataProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.insert_sql": {"fullname": "sqlglot.generator.Generator.insert_sql", "modulename": "sqlglot.generator", "qualname": "Generator.insert_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Insert) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_sql": {"fullname": "sqlglot.generator.Generator.intersect_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_op": {"fullname": "sqlglot.generator.Generator.intersect_op", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.introducer_sql": {"fullname": "sqlglot.generator.Generator.introducer_sql", "modulename": "sqlglot.generator", "qualname": "Generator.introducer_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Introducer) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pseudotype_sql": {"fullname": "sqlglot.generator.Generator.pseudotype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pseudotype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PseudoType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.onconflict_sql": {"fullname": "sqlglot.generator.Generator.onconflict_sql", "modulename": "sqlglot.generator", "qualname": "Generator.onconflict_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OnConflict) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.returning_sql": {"fullname": "sqlglot.generator.Generator.returning_sql", "modulename": "sqlglot.generator", "qualname": "Generator.returning_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Returning) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"fullname": "sqlglot.generator.Generator.rowformatdelimitedproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rowformatdelimitedproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RowFormatDelimitedProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.table_sql": {"fullname": "sqlglot.generator.Generator.table_sql", "modulename": "sqlglot.generator", "qualname": "Generator.table_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Table, sep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablesample_sql": {"fullname": "sqlglot.generator.Generator.tablesample_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.TableSample,\tseed_prefix: str = 'SEED',\tsep=' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pivot_sql": {"fullname": "sqlglot.generator.Generator.pivot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pivot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tuple_sql": {"fullname": "sqlglot.generator.Generator.tuple_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tuple_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tuple) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.update_sql": {"fullname": "sqlglot.generator.Generator.update_sql", "modulename": "sqlglot.generator", "qualname": "Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.values_sql": {"fullname": "sqlglot.generator.Generator.values_sql", "modulename": "sqlglot.generator", "qualname": "Generator.values_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.var_sql": {"fullname": "sqlglot.generator.Generator.var_sql", "modulename": "sqlglot.generator", "qualname": "Generator.var_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Var) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.into_sql": {"fullname": "sqlglot.generator.Generator.into_sql", "modulename": "sqlglot.generator", "qualname": "Generator.into_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Into) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.from_sql": {"fullname": "sqlglot.generator.Generator.from_sql", "modulename": "sqlglot.generator", "qualname": "Generator.from_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.From) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.group_sql": {"fullname": "sqlglot.generator.Generator.group_sql", "modulename": "sqlglot.generator", "qualname": "Generator.group_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Group) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.having_sql": {"fullname": "sqlglot.generator.Generator.having_sql", "modulename": "sqlglot.generator", "qualname": "Generator.having_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Having) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.join_sql": {"fullname": "sqlglot.generator.Generator.join_sql", "modulename": "sqlglot.generator", "qualname": "Generator.join_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Join) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lambda_sql": {"fullname": "sqlglot.generator.Generator.lambda_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lambda_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Lambda,\tarrow_sep: str = '->') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lateral_sql": {"fullname": "sqlglot.generator.Generator.lateral_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lateral_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lateral) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.limit_sql": {"fullname": "sqlglot.generator.Generator.limit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.limit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Limit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.offset_sql": {"fullname": "sqlglot.generator.Generator.offset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.setitem_sql": {"fullname": "sqlglot.generator.Generator.setitem_sql", "modulename": "sqlglot.generator", "qualname": "Generator.setitem_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SetItem) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_sql": {"fullname": "sqlglot.generator.Generator.set_sql", "modulename": "sqlglot.generator", "qualname": "Generator.set_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Set) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pragma_sql": {"fullname": "sqlglot.generator.Generator.pragma_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pragma_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Pragma) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lock_sql": {"fullname": "sqlglot.generator.Generator.lock_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lock_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lock) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.literal_sql": {"fullname": "sqlglot.generator.Generator.literal_sql", "modulename": "sqlglot.generator", "qualname": "Generator.literal_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Literal) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.loaddata_sql": {"fullname": "sqlglot.generator.Generator.loaddata_sql", "modulename": "sqlglot.generator", "qualname": "Generator.loaddata_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LoadData) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.null_sql": {"fullname": "sqlglot.generator.Generator.null_sql", "modulename": "sqlglot.generator", "qualname": "Generator.null_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.boolean_sql": {"fullname": "sqlglot.generator.Generator.boolean_sql", "modulename": "sqlglot.generator", "qualname": "Generator.boolean_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Boolean) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.order_sql": {"fullname": "sqlglot.generator.Generator.order_sql", "modulename": "sqlglot.generator", "qualname": "Generator.order_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Order, flat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cluster_sql": {"fullname": "sqlglot.generator.Generator.cluster_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cluster) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distribute_sql": {"fullname": "sqlglot.generator.Generator.distribute_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distribute_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distribute) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sort_sql": {"fullname": "sqlglot.generator.Generator.sort_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sort_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sort) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ordered_sql": {"fullname": "sqlglot.generator.Generator.ordered_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ordered_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Ordered) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.matchrecognize_sql": {"fullname": "sqlglot.generator.Generator.matchrecognize_sql", "modulename": "sqlglot.generator", "qualname": "Generator.matchrecognize_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.query_modifiers": {"fullname": "sqlglot.generator.Generator.query_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.query_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, *sqls: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.after_having_modifiers": {"fullname": "sqlglot.generator.Generator.after_having_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.after_having_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.generator.Generator.after_limit_modifiers": {"fullname": "sqlglot.generator.Generator.after_limit_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.after_limit_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.generator.Generator.select_sql": {"fullname": "sqlglot.generator.Generator.select_sql", "modulename": "sqlglot.generator", "qualname": "Generator.select_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.schema_sql": {"fullname": "sqlglot.generator.Generator.schema_sql", "modulename": "sqlglot.generator", "qualname": "Generator.schema_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Schema) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.star_sql": {"fullname": "sqlglot.generator.Generator.star_sql", "modulename": "sqlglot.generator", "qualname": "Generator.star_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Star) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.parameter_sql": {"fullname": "sqlglot.generator.Generator.parameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.parameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Parameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sessionparameter_sql": {"fullname": "sqlglot.generator.Generator.sessionparameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sessionparameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SessionParameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.placeholder_sql": {"fullname": "sqlglot.generator.Generator.placeholder_sql", "modulename": "sqlglot.generator", "qualname": "Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.subquery_sql": {"fullname": "sqlglot.generator.Generator.subquery_sql", "modulename": "sqlglot.generator", "qualname": "Generator.subquery_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Subquery, sep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.qualify_sql": {"fullname": "sqlglot.generator.Generator.qualify_sql", "modulename": "sqlglot.generator", "qualname": "Generator.qualify_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Qualify) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_sql": {"fullname": "sqlglot.generator.Generator.union_sql", "modulename": "sqlglot.generator", "qualname": "Generator.union_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_op": {"fullname": "sqlglot.generator.Generator.union_op", "modulename": "sqlglot.generator", "qualname": "Generator.union_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unnest_sql": {"fullname": "sqlglot.generator.Generator.unnest_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unnest_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.where_sql": {"fullname": "sqlglot.generator.Generator.where_sql", "modulename": "sqlglot.generator", "qualname": "Generator.where_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Where) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.window_sql": {"fullname": "sqlglot.generator.Generator.window_sql", "modulename": "sqlglot.generator", "qualname": "Generator.window_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Window) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_by_sql": {"fullname": "sqlglot.generator.Generator.partition_by_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_by_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Window | sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.windowspec_sql": {"fullname": "sqlglot.generator.Generator.windowspec_sql", "modulename": "sqlglot.generator", "qualname": "Generator.windowspec_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WindowSpec) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withingroup_sql": {"fullname": "sqlglot.generator.Generator.withingroup_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withingroup_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithinGroup) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.between_sql": {"fullname": "sqlglot.generator.Generator.between_sql", "modulename": "sqlglot.generator", "qualname": "Generator.between_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Between) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bracket_sql": {"fullname": "sqlglot.generator.Generator.bracket_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bracket_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Bracket) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.all_sql": {"fullname": "sqlglot.generator.Generator.all_sql", "modulename": "sqlglot.generator", "qualname": "Generator.all_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.All) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.any_sql": {"fullname": "sqlglot.generator.Generator.any_sql", "modulename": "sqlglot.generator", "qualname": "Generator.any_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Any) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.exists_sql": {"fullname": "sqlglot.generator.Generator.exists_sql", "modulename": "sqlglot.generator", "qualname": "Generator.exists_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Exists) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.case_sql": {"fullname": "sqlglot.generator.Generator.case_sql", "modulename": "sqlglot.generator", "qualname": "Generator.case_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Case) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.constraint_sql": {"fullname": "sqlglot.generator.Generator.constraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.constraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Constraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nextvaluefor_sql": {"fullname": "sqlglot.generator.Generator.nextvaluefor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nextvaluefor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NextValueFor) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.extract_sql": {"fullname": "sqlglot.generator.Generator.extract_sql", "modulename": "sqlglot.generator", "qualname": "Generator.extract_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Extract) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trim_sql": {"fullname": "sqlglot.generator.Generator.trim_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trim_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.concat_sql": {"fullname": "sqlglot.generator.Generator.concat_sql", "modulename": "sqlglot.generator", "qualname": "Generator.concat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Concat) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.check_sql": {"fullname": "sqlglot.generator.Generator.check_sql", "modulename": "sqlglot.generator", "qualname": "Generator.check_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Check) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.foreignkey_sql": {"fullname": "sqlglot.generator.Generator.foreignkey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.foreignkey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykey_sql": {"fullname": "sqlglot.generator.Generator.primarykey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unique_sql": {"fullname": "sqlglot.generator.Generator.unique_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unique_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unique) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.if_sql": {"fullname": "sqlglot.generator.Generator.if_sql", "modulename": "sqlglot.generator", "qualname": "Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.matchagainst_sql": {"fullname": "sqlglot.generator.Generator.matchagainst_sql", "modulename": "sqlglot.generator", "qualname": "Generator.matchagainst_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MatchAgainst) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"fullname": "sqlglot.generator.Generator.jsonkeyvalue_sql", "modulename": "sqlglot.generator", "qualname": "Generator.jsonkeyvalue_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JSONKeyValue) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.jsonobject_sql": {"fullname": "sqlglot.generator.Generator.jsonobject_sql", "modulename": "sqlglot.generator", "qualname": "Generator.jsonobject_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JSONObject) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"fullname": "sqlglot.generator.Generator.openjsoncolumndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.openjsoncolumndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OpenJSONColumnDef) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.openjson_sql": {"fullname": "sqlglot.generator.Generator.openjson_sql", "modulename": "sqlglot.generator", "qualname": "Generator.openjson_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OpenJSON) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_sql": {"fullname": "sqlglot.generator.Generator.in_sql", "modulename": "sqlglot.generator", "qualname": "Generator.in_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.In) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_unnest_op": {"fullname": "sqlglot.generator.Generator.in_unnest_op", "modulename": "sqlglot.generator", "qualname": "Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, unnest: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.interval_sql": {"fullname": "sqlglot.generator.Generator.interval_sql", "modulename": "sqlglot.generator", "qualname": "Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.return_sql": {"fullname": "sqlglot.generator.Generator.return_sql", "modulename": "sqlglot.generator", "qualname": "Generator.return_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Return) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.reference_sql": {"fullname": "sqlglot.generator.Generator.reference_sql", "modulename": "sqlglot.generator", "qualname": "Generator.reference_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Reference) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.anonymous_sql": {"fullname": "sqlglot.generator.Generator.anonymous_sql", "modulename": "sqlglot.generator", "qualname": "Generator.anonymous_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.paren_sql": {"fullname": "sqlglot.generator.Generator.paren_sql", "modulename": "sqlglot.generator", "qualname": "Generator.paren_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Paren) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neg_sql": {"fullname": "sqlglot.generator.Generator.neg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Neg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.not_sql": {"fullname": "sqlglot.generator.Generator.not_sql", "modulename": "sqlglot.generator", "qualname": "Generator.not_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Not) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.alias_sql": {"fullname": "sqlglot.generator.Generator.alias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.alias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Alias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.aliases_sql": {"fullname": "sqlglot.generator.Generator.aliases_sql", "modulename": "sqlglot.generator", "qualname": "Generator.aliases_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Aliases) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.attimezone_sql": {"fullname": "sqlglot.generator.Generator.attimezone_sql", "modulename": "sqlglot.generator", "qualname": "Generator.attimezone_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AtTimeZone) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.add_sql": {"fullname": "sqlglot.generator.Generator.add_sql", "modulename": "sqlglot.generator", "qualname": "Generator.add_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Add) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.and_sql": {"fullname": "sqlglot.generator.Generator.and_sql", "modulename": "sqlglot.generator", "qualname": "Generator.and_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.And) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.connector_sql": {"fullname": "sqlglot.generator.Generator.connector_sql", "modulename": "sqlglot.generator", "qualname": "Generator.connector_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Connector, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseand_sql": {"fullname": "sqlglot.generator.Generator.bitwiseand_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseand_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseAnd) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiseleftshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseleftshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseLeftShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisenot_sql": {"fullname": "sqlglot.generator.Generator.bitwisenot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisenot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseNot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseor_sql": {"fullname": "sqlglot.generator.Generator.bitwiseor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseOr) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiserightshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiserightshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseRightShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisexor_sql": {"fullname": "sqlglot.generator.Generator.bitwisexor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisexor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseXor) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cast_sql": {"fullname": "sqlglot.generator.Generator.cast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.currentdate_sql": {"fullname": "sqlglot.generator.Generator.currentdate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.currentdate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.collate_sql": {"fullname": "sqlglot.generator.Generator.collate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.collate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Collate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.command_sql": {"fullname": "sqlglot.generator.Generator.command_sql", "modulename": "sqlglot.generator", "qualname": "Generator.command_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Command) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.comment_sql": {"fullname": "sqlglot.generator.Generator.comment_sql", "modulename": "sqlglot.generator", "qualname": "Generator.comment_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Comment) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"fullname": "sqlglot.generator.Generator.mergetreettlaction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergetreettlaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeTreeTTLAction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergetreettl_sql": {"fullname": "sqlglot.generator.Generator.mergetreettl_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergetreettl_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeTreeTTL) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.transaction_sql": {"fullname": "sqlglot.generator.Generator.transaction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.commit_sql": {"fullname": "sqlglot.generator.Generator.commit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Commit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rollback_sql": {"fullname": "sqlglot.generator.Generator.rollback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Rollback) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altercolumn_sql": {"fullname": "sqlglot.generator.Generator.altercolumn_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altercolumn_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterColumn) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.renametable_sql": {"fullname": "sqlglot.generator.Generator.renametable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.renametable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altertable_sql": {"fullname": "sqlglot.generator.Generator.altertable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altertable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.droppartition_sql": {"fullname": "sqlglot.generator.Generator.droppartition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.droppartition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DropPartition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.addconstraint_sql": {"fullname": "sqlglot.generator.Generator.addconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.addconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AddConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distinct_sql": {"fullname": "sqlglot.generator.Generator.distinct_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distinct_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distinct) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ignorenulls_sql": {"fullname": "sqlglot.generator.Generator.ignorenulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ignorenulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IgnoreNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.respectnulls_sql": {"fullname": "sqlglot.generator.Generator.respectnulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.respectnulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RespectNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intdiv_sql": {"fullname": "sqlglot.generator.Generator.intdiv_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intdiv_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IntDiv) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dpipe_sql": {"fullname": "sqlglot.generator.Generator.dpipe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dpipe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DPipe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.div_sql": {"fullname": "sqlglot.generator.Generator.div_sql", "modulename": "sqlglot.generator", "qualname": "Generator.div_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Div) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.overlaps_sql": {"fullname": "sqlglot.generator.Generator.overlaps_sql", "modulename": "sqlglot.generator", "qualname": "Generator.overlaps_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Overlaps) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distance_sql": {"fullname": "sqlglot.generator.Generator.distance_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distance_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distance) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dot_sql": {"fullname": "sqlglot.generator.Generator.dot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Dot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.eq_sql": {"fullname": "sqlglot.generator.Generator.eq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.eq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.EQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.escape_sql": {"fullname": "sqlglot.generator.Generator.escape_sql", "modulename": "sqlglot.generator", "qualname": "Generator.escape_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Escape) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.glob_sql": {"fullname": "sqlglot.generator.Generator.glob_sql", "modulename": "sqlglot.generator", "qualname": "Generator.glob_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Glob) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gt_sql": {"fullname": "sqlglot.generator.Generator.gt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gte_sql": {"fullname": "sqlglot.generator.Generator.gte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilike_sql": {"fullname": "sqlglot.generator.Generator.ilike_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilike_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilikeany_sql": {"fullname": "sqlglot.generator.Generator.ilikeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilikeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.is_sql": {"fullname": "sqlglot.generator.Generator.is_sql", "modulename": "sqlglot.generator", "qualname": "Generator.is_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Is) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.like_sql": {"fullname": "sqlglot.generator.Generator.like_sql", "modulename": "sqlglot.generator", "qualname": "Generator.like_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Like) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeany_sql": {"fullname": "sqlglot.generator.Generator.likeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.similarto_sql": {"fullname": "sqlglot.generator.Generator.similarto_sql", "modulename": "sqlglot.generator", "qualname": "Generator.similarto_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SimilarTo) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lt_sql": {"fullname": "sqlglot.generator.Generator.lt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lte_sql": {"fullname": "sqlglot.generator.Generator.lte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mod_sql": {"fullname": "sqlglot.generator.Generator.mod_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mul_sql": {"fullname": "sqlglot.generator.Generator.mul_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mul_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mul) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neq_sql": {"fullname": "sqlglot.generator.Generator.neq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeeq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeeq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeeq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeneq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeneq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeneq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeNEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.or_sql": {"fullname": "sqlglot.generator.Generator.or_sql", "modulename": "sqlglot.generator", "qualname": "Generator.or_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Or) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.slice_sql": {"fullname": "sqlglot.generator.Generator.slice_sql", "modulename": "sqlglot.generator", "qualname": "Generator.slice_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Slice) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sub_sql": {"fullname": "sqlglot.generator.Generator.sub_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sub_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sub) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trycast_sql": {"fullname": "sqlglot.generator.Generator.trycast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trycast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.use_sql": {"fullname": "sqlglot.generator.Generator.use_sql", "modulename": "sqlglot.generator", "qualname": "Generator.use_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Use) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.binary": {"fullname": "sqlglot.generator.Generator.binary", "modulename": "sqlglot.generator", "qualname": "Generator.binary", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Binary, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.function_fallback_sql": {"fullname": "sqlglot.generator.Generator.function_fallback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.function_fallback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Func) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.func": {"fullname": "sqlglot.generator.Generator.func", "modulename": "sqlglot.generator", "qualname": "Generator.func", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.format_args": {"fullname": "sqlglot.generator.Generator.format_args", "modulename": "sqlglot.generator", "qualname": "Generator.format_args", "kind": "function", "doc": "

\n", "signature": "(self, *args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.text_width": {"fullname": "sqlglot.generator.Generator.text_width", "modulename": "sqlglot.generator", "qualname": "Generator.text_width", "kind": "function", "doc": "

\n", "signature": "(self, args: Iterable) -> int:", "funcdef": "def"}, "sqlglot.generator.Generator.format_time": {"fullname": "sqlglot.generator.Generator.format_time", "modulename": "sqlglot.generator", "qualname": "Generator.format_time", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> Optional[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.expressions": {"fullname": "sqlglot.generator.Generator.expressions", "modulename": "sqlglot.generator", "qualname": "Generator.expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression] = None,\tkey: Optional[str] = None,\tsqls: Optional[List[str]] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "

\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tochar_sql": {"fullname": "sqlglot.generator.Generator.tochar_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tochar_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ToChar) -> str:", "funcdef": "def"}, "sqlglot.generator.cached_generator": {"fullname": "sqlglot.generator.cached_generator", "modulename": "sqlglot.generator", "qualname": "cached_generator", "kind": "function", "doc": "

Returns a cached generator.

\n", "signature": "(\tcache: Optional[Dict[int, str]] = None) -> Callable[[sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "

\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "

This is used for creating enum classes where auto() is the string form of the corresponding value's name.

\n", "bases": "enum.Enum"}, "sqlglot.helper.seq_get": {"fullname": "sqlglot.helper.seq_get", "modulename": "sqlglot.helper", "qualname": "seq_get", "kind": "function", "doc": "

Returns the value in seq at position index, or None if index is out of bounds.

\n", "signature": "(seq: Sequence[~T], index: int) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.helper.ensure_list": {"fullname": "sqlglot.helper.ensure_list", "modulename": "sqlglot.helper", "qualname": "ensure_list", "kind": "function", "doc": "

Ensures that a value is a list, otherwise casts or wraps it into one.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "

Ensures that a value is a collection (excluding str and bytes), otherwise wraps it into a list.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value if it's a collection, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "

Formats any number of string arguments as CSV.

\n\n
Arguments:
\n\n
    \n
  • args: the string arguments to format.
    • \n
  • sep: the argument separator.
    • \n
\n\n
Returns:
\n\n
\n

The arguments formatted as a CSV string.

\n
\n", "signature": "(*args, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "

Returns all subclasses for a collection of classes, possibly excluding some of them.

\n\n
Arguments:
\n\n
    \n
  • module_name: the name of the module to search for subclasses in.
    • \n
  • classes: class(es) we want to find the subclasses of.
    • \n
  • exclude: class(es) we want to exclude from the returned list.
    • \n
\n\n
Returns:
\n\n
\n

The target subclasses.

\n
\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "

Applies an offset to a given integer literal expression.

\n\n
Arguments:
\n\n
    \n
  • this: the target of the index
    • \n
  • expressions: the expression the offset will be applied to, wrapped in a list.
    • \n
  • offset: the offset that will be applied.
    • \n
\n\n
Returns:
\n\n
\n

The original expression with the offset applied to it, wrapped in a list. If the provided\n expressions argument contains more than one expressions, it's returned unaffected.

\n
\n", "signature": "(\tthis: sqlglot.expressions.Expression,\texpressions: List[Optional[~E]],\toffset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "

Converts name from camelCase to snake_case and returns the result.

\n", "signature": "(name: str) -> str:", "funcdef": "def"}, "sqlglot.helper.while_changing": {"fullname": "sqlglot.helper.while_changing", "modulename": "sqlglot.helper", "qualname": "while_changing", "kind": "function", "doc": "

Applies a transformation to a given expression until a fix point is reached.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to be transformed.
    • \n
  • func: the transformation to be applied.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfunc: Callable[[sqlglot.expressions.Expression], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "

Sorts a given directed acyclic graph in topological order.

\n\n
Arguments:
\n\n
    \n
  • dag: the graph to be sorted.
    • \n
\n\n
Returns:
\n\n
\n

A list that contains all of the graph's nodes in topological order.

\n
\n", "signature": "(dag: Dict[~T, List[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "

Open a file that may be compressed as gzip and return it in universal newline mode.

\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "

Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...]).

\n\n
Arguments:
\n\n
    \n
  • read_csv: a ReadCSV function call
    • \n
\n\n
Yields:
\n\n
\n

A python csv reader.

\n
\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "

Searches for a new name.

\n\n
Arguments:
\n\n
    \n
  • taken: a collection of taken names.
    • \n
  • base: base name to alter.
    • \n
\n\n
Returns:
\n\n
\n

The new, available name.

\n
\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "

Returns a dictionary created from an object's attributes.

\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "

Perform a split on a value and return N words as a result with None used for words that don't exist.

\n\n
Arguments:
\n\n
    \n
  • value: the value to be split.
    • \n
  • sep: the value to use to split on.
    • \n
  • min_num_words: the minimum number of words that are going to be in the result.
    • \n
  • fill_from_start: indicates that if None values should be inserted at the start or end of the list.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n
\n
\n\n
Returns:
\n\n
\n

The list of words returned by split, possibly augmented by a number of None values.

\n
\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "

Checks if the value is an iterable, excluding the types str and bytes.

\n\n
Examples:
\n\n
\n
\n
>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • value: the value to check if it is an iterable.
    • \n
\n\n
Returns:
\n\n
\n

A bool value indicating if it is an iterable.

\n
\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "

Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str and bytes are not regarded as iterables.

\n\n
Examples:
\n\n
\n
\n
>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: the value to be flattened.
    • \n
\n\n
Yields:
\n\n
\n

Non-iterable elements in values.

\n
\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "

Get the nesting depth of a dictionary.

\n\n
For example:
\n\n
\n
\n
>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d (dict): dictionary
    • \n
\n\n
Returns:
\n\n
\n

int: depth

\n
\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "

Returns the first element from an iterable.

\n\n

Useful for sets.

\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.helper.should_identify": {"fullname": "sqlglot.helper.should_identify", "modulename": "sqlglot.helper", "qualname": "should_identify", "kind": "function", "doc": "

Checks if text should be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: the text to check.
    • \n
  • identify: \"always\" | True - always returns true, \"safe\" - true if no upper case
    • \n
\n\n
Returns:
\n\n
\n

Whether or not a string should be identified.

\n
\n", "signature": "(text: str, identify: str | bool) -> bool:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "

\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "

\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "

\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>,\talias: str = '')"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "

\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "

Build the lineage graph for a column of a SQL query.

\n\n
Arguments:
\n\n
    \n
  • column: The column to build the lineage for.
    • \n
  • sql: The SQL string or expression.
    • \n
  • schema: The schema of tables.
    • \n
  • sources: A mapping of queries which will be used to continue building lineage.
    • \n
  • rules: Optimizer rules to apply, by default only qualifying tables and columns.
    • \n
  • dialect: The dialect of input SQL.
    • \n
\n\n
Returns:
\n\n
\n

A lineage node.

\n
\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7f07e306f9a0>, <function qualify_tables at 0x7f07e2fba170>, <function qualify_columns at 0x7f07e2fb8f70>),\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "

Node to HTML generator using vis.js.

\n\n

https://visjs.github.io/vis-network/docs/network/

\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "

\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "

Recursively infer & annotate types in an expression syntax tree against a schema.\nAssumes that we've already executed the optimizer's qualify_columns step.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): Expression to annotate.
    • \n
  • schema (dict|sqlglot.optimizer.Schema): Database schema.
    • \n
  • annotators (dict): Maps expression type to corresponding annotation function.
    • \n
  • coerces_to (dict): Maps expression type to set of types that it can be coerced into.
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression annotated with types

\n
\n", "signature": "(expression, schema=None, annotators=None, coerces_to=None):", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "

\n", "signature": "(schema=None, annotators=None, coerces_to=None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "

Converts a sql expression into a standard form.

\n\n

This method relies on annotate_types because many of the\nconversions rely on type inference.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to canonicalize.
    • \n
  • identify: Whether or not to force identify identifier.
    • \n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tidentify: str = 'safe') -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"fullname": "sqlglot.optimizer.canonicalize.add_text_to_concat", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "add_text_to_concat", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.coerce_type": {"fullname": "sqlglot.optimizer.canonicalize.coerce_type", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "coerce_type", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"fullname": "sqlglot.optimizer.canonicalize.remove_redundant_casts", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "remove_redundant_casts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"fullname": "sqlglot.optimizer.canonicalize.ensure_bool_predicates", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "ensure_bool_predicates", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "qualname": "eliminate_ctes", "kind": "function", "doc": "

Remove unused CTEs from an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "

Remove unused joins from an expression.

\n\n

This only removes joins when we know that the join condition doesn't produce duplicate rows.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "

Extract the join condition from a join expression.

\n\n
Arguments:
\n\n
    \n
  • join (exp.Join)
    • \n
\n\n
Returns:
\n\n
\n

tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)

\n
\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "

Rewrite derived tables as CTES, deduplicating if possible.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n
\n
\n\n
This also deduplicates common subqueries:
\n\n
\n
\n
>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y CROSS JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y CROSS JOIN y AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "

\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.lower_identities.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "qualname": "lower_identities", "kind": "function", "doc": "

Convert all unquoted identifiers to lower case.

\n\n

Assuming the schema is all lower case, this essentially makes identifiers case-insensitive.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> lower_identities(expression).sql()\n'SELECT bar.a AS A FROM "Foo".bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to quote
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: quoted expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to merge derived tables into the outer query.

\n\n

This also merges CTEs if they are selected from only once.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x CROSS JOIN y'\n
\n
\n
\n\n

If leave_tables_isolated is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:

\n\n
\n
\n
\n

expression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y'

\n
\n
\n
\n\n

Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • leave_tables_isolated (bool):
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "

Rewrite sqlglot AST into conjunctive normal form or disjunctive normal form.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression, dnf=False).sql()\n'(x OR z) AND (y OR z)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to normalize
    • \n
  • dnf: rewrite in disjunctive normal form instead.
    • \n
  • max_distance (int): the maximal estimated distance from cnf/dnf to attempt conversion
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: normalized expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdnf: bool = False,\tmax_distance: int = 128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "

\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "

The difference in the number of predicates between the current expression and the normalized form.

\n\n

This is used as an estimate of the cost of the conversion which is exponential in complexity.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to compute distance
    • \n
  • dnf (bool): compute to dnf distance instead
    • \n
\n\n
Returns:
\n\n
\n

int: difference

\n
\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "

x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)

\n", "signature": "(expression, dnf, max_distance, generate):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "

Removes cross joins if possible and reorder joins based on predicate dependencies.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "

Reorder joins by topological sort order based on predicate references.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "

Remove INNER and OUTER from joins as they are optional.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "

\n", "signature": "(join, exclude):", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "

Rewrite a sqlglot AST into an optimized form.

\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
    • \n
  • schema: database schema.\nThis can either be an instance of sqlglot.optimizer.Schema or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema will be used
    • \n
  • db: specify the default database, as might be set by a USE DATABASE db statement
    • \n
  • catalog: specify the default catalog, as might be set by a USE CATALOG c statement
    • \n
  • dialect: The dialect to parse the sql string.
    • \n
  • rules: sequence of optimizer rules to use.\nMany of the rules require tables and columns to be qualified.\nDo not remove qualify_tables or qualify_columns from the sequence of rules unless you know\nwhat you're doing!
    • \n
  • *kwargs: If a rule has a keyword argument with a same name in *kwargs, it will be passed in.
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7f07e306f9a0>, <function qualify_tables at 0x7f07e2fba170>, <function isolate_table_selects at 0x7f07e306f640>, <function qualify_columns at 0x7f07e2fb8f70>, <function pushdown_projections at 0x7f07e2fb9b40>, <function validate_qualify_columns at 0x7f07e2fb9000>, <function normalize at 0x7f07e306d900>, <function unnest_subqueries at 0x7f07e2fba200>, <function pushdown_predicates at 0x7f07e2fb8a60>, <function optimize_joins at 0x7f07e2fb8700>, <function eliminate_subqueries at 0x7f07e306f5b0>, <function merge_subqueries at 0x7f07e306fc70>, <function eliminate_joins at 0x7f07e306d6c0>, <function eliminate_ctes at 0x7f07e306d5a0>, <function annotate_types at 0x7f07e2fc5cf0>, <function canonicalize at 0x7f07e306d000>, <function simplify at 0x7f07e306dab0>),\t**kwargs):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "

Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT * FROM (SELECT * FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT * FROM (SELECT * FROM x AS x WHERE y.a = 1) AS y WHERE TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "

\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "

If the predicates are in CNF like form, we can simply replace each block in the parent.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "

If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "

\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "

\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "

\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "

Rewrite sqlglot AST to remove unused columns projections.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • remove_unused_selections (bool): remove selects that are unused
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, schema=None, remove_unused_selections=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified columns.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to qualify
    • \n
  • schema: Database schema
    • \n
  • expand_alias_refs: whether or not to expand references to aliases
    • \n
  • infer_schema: whether or not to infer the schema if missing
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tschema: dict | sqlglot.schema.Schema,\texpand_alias_refs: bool = True,\tinfer_schema: Optional[bool] = None) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "

Raise an OptimizeError if any columns aren't qualified

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver", "kind": "class", "doc": "

Helper for resolving columns.

\n\n

This is a class so we can lazily load some things and easily share them across functions.

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "

\n", "signature": "(scope, schema, infer_schema: bool = True)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "

Get the table for a column name.

\n\n
Arguments:
\n\n
    \n
  • column_name: The column name to find the table for.
    • \n
\n\n
Returns:
\n\n
\n

The table name if it can be found/inferred.

\n
\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "

All available columns of all sources in this scope

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "

Resolve the source columns for a given source name

\n", "signature": "(self, name, only_visible=False):", "funcdef": "def"}, "sqlglot.optimizer.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "qualname": "qualify_tables", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified tables. Additionally, this\nreplaces \"join constructs\" (*) by equivalent SELECT * subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n>>>\n>>> expression = sqlglot.parse_one("SELECT * FROM (tbl1 JOIN tbl2 ON id1 = id2)")\n>>> qualify_tables(expression).sql()\n'SELECT * FROM (SELECT * FROM tbl1 AS tbl1 JOIN tbl2 AS tbl2 ON id1 = id2) AS _q_0'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to qualify
    • \n
  • db (str): Database name
    • \n
  • catalog (str): Catalog name
    • \n
  • schema: A schema to populate
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n\n

(*) See section 7.2.1.2 in https://www.postgresql.org/docs/current/queries-table-expressions.html

\n", "signature": "(expression, db=None, catalog=None, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "

Selection scope.

\n\n
Attributes:
\n\n
    \n
  • expression (exp.Select|exp.Union): Root expression of this scope
    • \n
  • sources (dict[str, exp.Table|Scope]): Mapping of source name to either\na Table expression or another Scope instance. For example:\n SELECT * FROM x {\"x\": Table(this=\"x\")}\n SELECT * FROM x AS y {\"y\": Table(this=\"x\")}\n SELECT * FROM (SELECT ...) AS y {\"y\": Scope(...)}
    • \n
  • lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals\nFor example:\n SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;\nThe LATERAL VIEW EXPLODE gets x as a source.
    • \n
  • outer_column_list (list[str]): If this is a derived table or CTE, and the outer query\ndefines a column list of it's alias of this scope, this is that list of columns.\nFor example:\n SELECT * FROM (SELECT ...) AS y(col1, col2)\nThe inner query would have [\"col1\", \"col2\"] for its outer_column_list
    • \n
  • parent (Scope): Parent scope
    • \n
  • scope_type (ScopeType): Type of this scope, relative to it's parent
    • \n
  • subquery_scopes (list[Scope]): List of all child scopes for subqueries
    • \n
  • cte_scopes (list[Scope]): List of all child scopes for CTEs
    • \n
  • derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
    • \n
  • udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
    • \n
  • table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
    • \n
  • union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be\na list of the left and right child scopes.
    • \n
\n"}, "sqlglot.optimizer.scope.Scope.__init__": {"fullname": "sqlglot.optimizer.scope.Scope.__init__", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression,\tsources=None,\touter_column_list=None,\tparent=None,\tscope_type=<ScopeType.ROOT: 1>,\tlateral_sources=None)"}, "sqlglot.optimizer.scope.Scope.clear_cache": {"fullname": "sqlglot.optimizer.scope.Scope.clear_cache", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.clear_cache", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.branch": {"fullname": "sqlglot.optimizer.scope.Scope.branch", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.branch", "kind": "function", "doc": "

Branch from the current scope to a new, inner scope

\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "

\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "

Returns the first node in this scope which matches at least one of the specified types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Returns:
\n\n
\n

exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Yields:
\n\n
\n

exp.Expression: nodes

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "

Replace old with new.

\n\n

This can be used instead of exp.Expression.replace to ensure the Scope is kept up-to-date.

\n\n
Arguments:
\n\n
    \n
  • old (exp.Expression): old node
    • \n
  • new (exp.Expression): new node
    • \n
\n", "signature": "(self, old, new):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.tables": {"fullname": "sqlglot.optimizer.scope.Scope.tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.tables", "kind": "variable", "doc": "

List of tables in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Table]: tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "

List of CTEs in this scope.

\n\n
Returns:
\n\n
\n

list[exp.CTE]: ctes

\n
\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "

List of derived tables in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM (SELECT ...) <- that's a derived table

\n
\n\n
Returns:
\n\n
\n

list[exp.Subquery]: derived tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "

List of \"User Defined Tabular Functions\" in this scope.

\n\n
Returns:
\n\n
\n

list[exp.UDTF]: UDTFs

\n
\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "

List of subqueries in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery

\n
\n\n
Returns:
\n\n
\n

list[exp.Subqueryable]: subqueries

\n
\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "

List of columns in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.

\n
\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "

Mapping of nodes and sources that are actually selected from in this scope.

\n\n

That is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.

\n\n
Returns:
\n\n
\n

dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes

\n
\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "

Sources that are CTEs.

\n\n
Returns:
\n\n
\n

dict[str, Scope]: Mapping of source alias to Scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "

Select expressions of this scope.

\n\n

For example, for the following expression:\n SELECT 1 as a, 2 as b FROM x

\n\n

The outputs are the \"1 as a\" and \"2 as b\" expressions.

\n\n
Returns:
\n\n
\n

list[exp.Expression]: expressions

\n
\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "

Columns that appear to reference sources in outer scopes.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that don't reference\n sources in the current scope.

\n
\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "

Unqualified columns in the current scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Unqualified columns

\n
\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "

Hints that exist in the scope that reference tables

\n\n
Returns:
\n\n
\n

list[exp.JoinHint]: Join hints that are referenced within the scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "

Get all columns in the current scope for a particular source.

\n\n
Arguments:
\n\n
    \n
  • source_name (str): Name of the source
    • \n
\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that reference source_name

\n
\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "

Determine if this scope is a subquery

\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "

Determine if this scope is a derived table

\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "

Determine if this scope is a union

\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "

Determine if this scope is a common table expression

\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "

Determine if this is the root scope

\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "

Determine if this scope is a UDTF (User Defined Table Function)

\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "

Determine if this scope is a correlated subquery

\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "

Rename a source in this scope

\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "

Add a source to this scope

\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "

Remove a source from this scope

\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "

Traverse the scope tree from this node.

\n\n
Yields:
\n\n
\n

Scope: scope instances in depth-first-search post-order

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "

Count the number of times each scope in this tree is referenced.

\n\n
Returns:
\n\n
\n

dict[int, int]: Mapping of Scope instance ID to reference count

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "

Traverse an expression by it's \"scopes\".

\n\n

\"Scope\" represents the current context of a Select statement.

\n\n

This is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to traverse
    • \n
\n\n
Returns:
\n\n
\n

list[Scope]: scope instances

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "

Build a scope tree.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to build the scope tree for
    • \n
\n\n
Returns:
\n\n
\n

Scope: root scope

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "

Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression):
    • \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
    • \n
\n\n
Yields:
\n\n
\n

tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key

\n
\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "

Rewrite sqlglot AST to simplify expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to simplify
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: simplified expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "

Rewrite x between y and z to x >= y AND x <= z.

\n\n

This is done because comparison simplification is only done on lt/lte/gt/gte.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "

Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "

A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "

Removing compliments.

\n\n

A AND NOT A -> FALSE\nA OR NOT A -> TRUE

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "

Uniq and sort a connector.

\n\n

C AND A AND B AND B -> A AND B AND C

\n", "signature": "(expression, generate, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "

absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "

\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_false": {"fullname": "sqlglot.optimizer.simplify.is_false", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_false", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_null": {"fullname": "sqlglot.optimizer.simplify.is_null", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_null", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "

\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "

\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "

\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "

\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "

\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to convert some predicates with subqueries into joins.

\n\n

Convert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to unnest
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: unnested expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, sequence):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, external_columns, sequence):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "

\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "

\n", "signature": "(args: Sequence) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.parser.parse_like": {"fullname": "sqlglot.parser.parse_like", "modulename": "sqlglot.parser", "qualname": "parse_like", "kind": "function", "doc": "

\n", "signature": "(args):", "funcdef": "def"}, "sqlglot.parser.binary_range_parser": {"fullname": "sqlglot.parser.binary_range_parser", "modulename": "sqlglot.parser", "qualname": "binary_range_parser", "kind": "function", "doc": "

\n", "signature": "(\texpr_type: Type[sqlglot.expressions.Expression]) -> Callable[[sqlglot.parser.Parser, Optional[sqlglot.expressions.Expression]], Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n"}, "sqlglot.parser.Parser.__init__": {"fullname": "sqlglot.parser.Parser.__init__", "modulename": "sqlglot.parser", "qualname": "Parser.__init__", "kind": "function", "doc": "

\n", "signature": "(\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\terror_message_context: int = 100,\tindex_offset: int = 0,\tunnest_column_only: bool = False,\talias_post_tablesample: bool = False,\tmax_errors: int = 3,\tnull_ordering: Optional[str] = None)"}, "sqlglot.parser.Parser.reset": {"fullname": "sqlglot.parser.Parser.reset", "modulename": "sqlglot.parser", "qualname": "Parser.reset", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.parser.Parser.parse": {"fullname": "sqlglot.parser.Parser.parse", "modulename": "sqlglot.parser", "qualname": "Parser.parse", "kind": "function", "doc": "

Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • raw_tokens: the list of tokens.
    • \n
  • sql: the original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The list of syntax trees.

\n
\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "

Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to try and parse the token list into.
    • \n
  • raw_tokens: the list of tokens.
    • \n
  • sql: the original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The target Expression.

\n
\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "

Logs or raises any found errors, depending on the chosen error level setting.

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "

Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.

\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "

Creates a new, validated Expression.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
    • \n
  • comments: an optional list of comments to attach to the expression.
    • \n
  • kwargs: the arguments to set for the expression along with their respective values.
    • \n
\n\n
Returns:
\n\n
\n

The target expression.

\n
\n", "signature": "(\tself,\texp_class: Type[~E],\tcomments: Optional[List[str]] = None,\t**kwargs) -> ~E:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "

Validates an already instantiated expression, making sure that all its mandatory arguments\nare set.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to validate.
    • \n
  • args: an optional list of items that was used to instantiate the expression, if it's a Func.
    • \n
\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\targs: Optional[List] = None) -> None:", "funcdef": "def"}, "sqlglot.planner": {"fullname": "sqlglot.planner", "modulename": "sqlglot.planner", "kind": "module", "doc": "

\n"}, "sqlglot.planner.Plan": {"fullname": "sqlglot.planner.Plan", "modulename": "sqlglot.planner", "qualname": "Plan", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Plan.__init__": {"fullname": "sqlglot.planner.Plan.__init__", "modulename": "sqlglot.planner", "qualname": "Plan.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.planner.Step": {"fullname": "sqlglot.planner.Step", "modulename": "sqlglot.planner", "qualname": "Step", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Step.from_expression": {"fullname": "sqlglot.planner.Step.from_expression", "modulename": "sqlglot.planner", "qualname": "Step.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "

\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "

\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "

\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "

Abstract base class for database schemas

\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "

Register or update a table. Some implementing classes may require column information to also be provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.Schema.column_names": {"fullname": "sqlglot.schema.Schema.column_names", "modulename": "sqlglot.schema", "qualname": "Schema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "

Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")

\n", "annotation": ": Tuple[str, ...]"}, "sqlglot.schema.Schema.empty": {"fullname": "sqlglot.schema.Schema.empty", "modulename": "sqlglot.schema", "qualname": "Schema.empty", "kind": "variable", "doc": "

Returns whether or not the schema is empty.

\n", "annotation": ": bool"}, "sqlglot.schema.AbstractMappingSchema": {"fullname": "sqlglot.schema.AbstractMappingSchema", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(mapping: Optional[Dict] = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "

\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"fullname": "sqlglot.schema.AbstractMappingSchema.nested_get", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.nested_get", "kind": "function", "doc": "

\n", "signature": "(\tself,\tparts: Sequence[str],\td: Optional[Dict] = None,\traise_on_missing=True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "

Schema based on a nested mapping.

\n\n
Arguments:
\n\n
    \n
  • schema: Mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
      2. \n
    2. {db: {table: {col: type}}}
      3. \n
    3. {catalog: {db: {table: {col: type}}}}
      4. \n
    4. None - Tables will be added later
      5. \n
    • \n
  • visible: Optional mapping of which columns in the schema are visible. If not provided, all columns\nare assumed to be visible. The nesting should mirror that of the schema:\n
      \n
    1. {table: set(cols)}}
      2. \n
    2. {db: {table: set(cols)}}}
      3. \n
    3. {catalog: {db: {table: set(*cols)}}}}
      4. \n
    • \n
  • dialect: The dialect to be used for custom type mappings & parsing string arguments.
    • \n
\n", "bases": "sqlglot.schema.AbstractMappingSchema[typing.Dict[str, str]], Schema"}, "sqlglot.schema.MappingSchema.__init__": {"fullname": "sqlglot.schema.MappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "MappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: Optional[Dict] = None,\tvisible: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None)"}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"fullname": "sqlglot.schema.MappingSchema.from_mapping_schema", "modulename": "sqlglot.schema", "qualname": "MappingSchema.from_mapping_schema", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmapping_schema: sqlglot.schema.MappingSchema) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.copy": {"fullname": "sqlglot.schema.MappingSchema.copy", "modulename": "sqlglot.schema", "qualname": "MappingSchema.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.add_table": {"fullname": "sqlglot.schema.MappingSchema.add_table", "modulename": "sqlglot.schema", "qualname": "MappingSchema.add_table", "kind": "function", "doc": "

Register or update a table. Updates are only performed if a new column mapping is provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.column_names": {"fullname": "sqlglot.schema.MappingSchema.column_names", "modulename": "sqlglot.schema", "qualname": "MappingSchema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Any,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "

\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]) -> Dict:", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.schema.nested_get": {"fullname": "sqlglot.schema.nested_get", "modulename": "sqlglot.schema", "qualname": "nested_get", "kind": "function", "doc": "

Get a value for a nested dictionary.

\n\n
Arguments:
\n\n
    \n
  • d: the dictionary to search.
    • \n
  • *path: tuples of (name, key), where:\nkey is the key in the dictionary to get.\nname is a string to use in the error if key isn't found.
    • \n
\n\n
Returns:
\n\n
\n

The value or None if it doesn't exist.

\n
\n", "signature": "(\td: Dict,\t*path: Tuple[str, str],\traise_on_missing: bool = True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.nested_set": {"fullname": "sqlglot.schema.nested_set", "modulename": "sqlglot.schema", "qualname": "nested_set", "kind": "function", "doc": "

In-place set a value for a nested dictionary

\n\n
Example:
\n\n
\n
\n
>>> nested_set({}, ["top_key", "second_key"], "value")\n{'top_key': {'second_key': 'value'}}\n
\n
\n \n
\n
>>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")\n{'top_key': {'third_key': 'third_value', 'second_key': 'value'}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d: dictionary to update.
    • \n
  • keys: the keys that makeup the path to value.
    • \n
  • value: the value to set in the dictionary for the given key path.
    • \n
\n\n
Returns:
\n\n
\n

The (possibly) updated dictionary.

\n
\n", "signature": "(d: Dict, keys: Sequence[str], value: Any) -> Dict:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "

\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "

Recursively dump an AST into a JSON-serializable dict.

\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]) -> Union[dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "

Recursively load a dict (as returned by dump) into an AST.

\n", "signature": "(\tobj: Union[dict, list, str, float, int, bool]) -> Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.time": {"fullname": "sqlglot.time", "modulename": "sqlglot.time", "kind": "module", "doc": "

\n"}, "sqlglot.time.format_time": {"fullname": "sqlglot.time.format_time", "modulename": "sqlglot.time", "qualname": "format_time", "kind": "function", "doc": "

Converts a time string given a mapping.

\n\n
Examples:
\n\n
\n
\n
>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
\n
\n \n

Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.

\n \n

Returns:\n The converted time string.

\n
\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "

\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_PAREN: 'R_PAREN'>"}, "sqlglot.tokens.TokenType.L_BRACKET": {"fullname": "sqlglot.tokens.TokenType.L_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACKET: 'L_BRACKET'>"}, "sqlglot.tokens.TokenType.R_BRACKET": {"fullname": "sqlglot.tokens.TokenType.R_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACKET: 'R_BRACKET'>"}, "sqlglot.tokens.TokenType.L_BRACE": {"fullname": "sqlglot.tokens.TokenType.L_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACE: 'L_BRACE'>"}, "sqlglot.tokens.TokenType.R_BRACE": {"fullname": "sqlglot.tokens.TokenType.R_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACE: 'R_BRACE'>"}, "sqlglot.tokens.TokenType.COMMA": {"fullname": "sqlglot.tokens.TokenType.COMMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMA: 'COMMA'>"}, "sqlglot.tokens.TokenType.DOT": {"fullname": "sqlglot.tokens.TokenType.DOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOT: 'DOT'>"}, "sqlglot.tokens.TokenType.DASH": {"fullname": "sqlglot.tokens.TokenType.DASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.DASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DASH: 'DASH'>"}, "sqlglot.tokens.TokenType.PLUS": {"fullname": "sqlglot.tokens.TokenType.PLUS", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLUS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLUS: 'PLUS'>"}, "sqlglot.tokens.TokenType.COLON": {"fullname": "sqlglot.tokens.TokenType.COLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLON: 'COLON'>"}, "sqlglot.tokens.TokenType.DCOLON": {"fullname": "sqlglot.tokens.TokenType.DCOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.DCOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DCOLON: 'DCOLON'>"}, "sqlglot.tokens.TokenType.SEMICOLON": {"fullname": "sqlglot.tokens.TokenType.SEMICOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMICOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMICOLON: 'SEMICOLON'>"}, "sqlglot.tokens.TokenType.STAR": {"fullname": "sqlglot.tokens.TokenType.STAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.STAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STAR: 'STAR'>"}, "sqlglot.tokens.TokenType.BACKSLASH": {"fullname": "sqlglot.tokens.TokenType.BACKSLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BACKSLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BACKSLASH: 'BACKSLASH'>"}, "sqlglot.tokens.TokenType.SLASH": {"fullname": "sqlglot.tokens.TokenType.SLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.SLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SLASH: 'SLASH'>"}, "sqlglot.tokens.TokenType.LT": {"fullname": "sqlglot.tokens.TokenType.LT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT: 'LT'>"}, "sqlglot.tokens.TokenType.LTE": {"fullname": "sqlglot.tokens.TokenType.LTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LTE: 'LTE'>"}, "sqlglot.tokens.TokenType.GT": {"fullname": "sqlglot.tokens.TokenType.GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GT: 'GT'>"}, "sqlglot.tokens.TokenType.GTE": {"fullname": "sqlglot.tokens.TokenType.GTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.GTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GTE: 'GTE'>"}, "sqlglot.tokens.TokenType.NOT": {"fullname": "sqlglot.tokens.TokenType.NOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOT: 'NOT'>"}, "sqlglot.tokens.TokenType.EQ": {"fullname": "sqlglot.tokens.TokenType.EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EQ: 'EQ'>"}, "sqlglot.tokens.TokenType.NEQ": {"fullname": "sqlglot.tokens.TokenType.NEQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEQ: 'NEQ'>"}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"fullname": "sqlglot.tokens.TokenType.NULLSAFE_EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLSAFE_EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>"}, "sqlglot.tokens.TokenType.AND": {"fullname": "sqlglot.tokens.TokenType.AND", "modulename": "sqlglot.tokens", "qualname": "TokenType.AND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AND: 'AND'>"}, "sqlglot.tokens.TokenType.OR": {"fullname": "sqlglot.tokens.TokenType.OR", "modulename": "sqlglot.tokens", "qualname": "TokenType.OR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OR: 'OR'>"}, "sqlglot.tokens.TokenType.AMP": {"fullname": "sqlglot.tokens.TokenType.AMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.AMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AMP: 'AMP'>"}, "sqlglot.tokens.TokenType.DPIPE": {"fullname": "sqlglot.tokens.TokenType.DPIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DPIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DPIPE: 'DPIPE'>"}, "sqlglot.tokens.TokenType.PIPE": {"fullname": "sqlglot.tokens.TokenType.PIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIPE: 'PIPE'>"}, "sqlglot.tokens.TokenType.CARET": {"fullname": "sqlglot.tokens.TokenType.CARET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CARET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CARET: 'CARET'>"}, "sqlglot.tokens.TokenType.TILDA": {"fullname": "sqlglot.tokens.TokenType.TILDA", "modulename": "sqlglot.tokens", "qualname": "TokenType.TILDA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TILDA: 'TILDA'>"}, "sqlglot.tokens.TokenType.ARROW": {"fullname": "sqlglot.tokens.TokenType.ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARROW: 'ARROW'>"}, "sqlglot.tokens.TokenType.DARROW": {"fullname": "sqlglot.tokens.TokenType.DARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DARROW: 'DARROW'>"}, "sqlglot.tokens.TokenType.FARROW": {"fullname": "sqlglot.tokens.TokenType.FARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.FARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FARROW: 'FARROW'>"}, "sqlglot.tokens.TokenType.HASH": {"fullname": "sqlglot.tokens.TokenType.HASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH: 'HASH'>"}, "sqlglot.tokens.TokenType.HASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.HASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH_ARROW: 'HASH_ARROW'>"}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.DHASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DHASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DHASH_ARROW: 'DHASH_ARROW'>"}, "sqlglot.tokens.TokenType.LR_ARROW": {"fullname": "sqlglot.tokens.TokenType.LR_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.LR_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LR_ARROW: 'LR_ARROW'>"}, "sqlglot.tokens.TokenType.LT_AT": {"fullname": "sqlglot.tokens.TokenType.LT_AT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT_AT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT_AT: 'LT_AT'>"}, "sqlglot.tokens.TokenType.AT_GT": {"fullname": "sqlglot.tokens.TokenType.AT_GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AT_GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AT_GT: 'AT_GT'>"}, "sqlglot.tokens.TokenType.DOLLAR": {"fullname": "sqlglot.tokens.TokenType.DOLLAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOLLAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOLLAR: 'DOLLAR'>"}, "sqlglot.tokens.TokenType.PARAMETER": {"fullname": "sqlglot.tokens.TokenType.PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARAMETER: 'PARAMETER'>"}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"fullname": "sqlglot.tokens.TokenType.SESSION_PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SESSION_PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SESSION_PARAMETER: 'SESSION_PARAMETER'>"}, "sqlglot.tokens.TokenType.NATIONAL": {"fullname": "sqlglot.tokens.TokenType.NATIONAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATIONAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATIONAL: 'NATIONAL'>"}, "sqlglot.tokens.TokenType.DAMP": {"fullname": "sqlglot.tokens.TokenType.DAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DAMP: 'DAMP'>"}, "sqlglot.tokens.TokenType.BLOCK_START": {"fullname": "sqlglot.tokens.TokenType.BLOCK_START", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_START", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_START: 'BLOCK_START'>"}, "sqlglot.tokens.TokenType.BLOCK_END": {"fullname": "sqlglot.tokens.TokenType.BLOCK_END", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_END: 'BLOCK_END'>"}, "sqlglot.tokens.TokenType.SPACE": {"fullname": "sqlglot.tokens.TokenType.SPACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.SPACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SPACE: 'SPACE'>"}, "sqlglot.tokens.TokenType.BREAK": {"fullname": "sqlglot.tokens.TokenType.BREAK", "modulename": "sqlglot.tokens", "qualname": "TokenType.BREAK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BREAK: 'BREAK'>"}, "sqlglot.tokens.TokenType.STRING": {"fullname": "sqlglot.tokens.TokenType.STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRING: 'STRING'>"}, "sqlglot.tokens.TokenType.NUMBER": {"fullname": "sqlglot.tokens.TokenType.NUMBER", "modulename": "sqlglot.tokens", "qualname": "TokenType.NUMBER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NUMBER: 'NUMBER'>"}, "sqlglot.tokens.TokenType.IDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.IDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.IDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IDENTIFIER: 'IDENTIFIER'>"}, "sqlglot.tokens.TokenType.DATABASE": {"fullname": "sqlglot.tokens.TokenType.DATABASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATABASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATABASE: 'DATABASE'>"}, "sqlglot.tokens.TokenType.COLUMN": {"fullname": "sqlglot.tokens.TokenType.COLUMN", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN: 'COLUMN'>"}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"fullname": "sqlglot.tokens.TokenType.COLUMN_DEF", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN_DEF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN_DEF: 'COLUMN_DEF'>"}, "sqlglot.tokens.TokenType.SCHEMA": {"fullname": "sqlglot.tokens.TokenType.SCHEMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SCHEMA: 'SCHEMA'>"}, "sqlglot.tokens.TokenType.TABLE": {"fullname": "sqlglot.tokens.TokenType.TABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE: 'TABLE'>"}, "sqlglot.tokens.TokenType.VAR": {"fullname": "sqlglot.tokens.TokenType.VAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VAR: 'VAR'>"}, "sqlglot.tokens.TokenType.BIT_STRING": {"fullname": "sqlglot.tokens.TokenType.BIT_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT_STRING: 'BIT_STRING'>"}, "sqlglot.tokens.TokenType.HEX_STRING": {"fullname": "sqlglot.tokens.TokenType.HEX_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HEX_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HEX_STRING: 'HEX_STRING'>"}, "sqlglot.tokens.TokenType.BYTE_STRING": {"fullname": "sqlglot.tokens.TokenType.BYTE_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BYTE_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BYTE_STRING: 'BYTE_STRING'>"}, "sqlglot.tokens.TokenType.BIT": {"fullname": "sqlglot.tokens.TokenType.BIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT: 'BIT'>"}, "sqlglot.tokens.TokenType.BOOLEAN": {"fullname": "sqlglot.tokens.TokenType.BOOLEAN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.tokens.TokenType.TINYINT": {"fullname": "sqlglot.tokens.TokenType.TINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TINYINT: 'TINYINT'>"}, "sqlglot.tokens.TokenType.UTINYINT": {"fullname": "sqlglot.tokens.TokenType.UTINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UTINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UTINYINT: 'UTINYINT'>"}, "sqlglot.tokens.TokenType.SMALLINT": {"fullname": "sqlglot.tokens.TokenType.SMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLINT: 'SMALLINT'>"}, "sqlglot.tokens.TokenType.USMALLINT": {"fullname": "sqlglot.tokens.TokenType.USMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.USMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USMALLINT: 'USMALLINT'>"}, "sqlglot.tokens.TokenType.INT": {"fullname": "sqlglot.tokens.TokenType.INT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT: 'INT'>"}, "sqlglot.tokens.TokenType.UINT": {"fullname": "sqlglot.tokens.TokenType.UINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UINT: 'UINT'>"}, "sqlglot.tokens.TokenType.BIGINT": {"fullname": "sqlglot.tokens.TokenType.BIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGINT: 'BIGINT'>"}, "sqlglot.tokens.TokenType.UBIGINT": {"fullname": "sqlglot.tokens.TokenType.UBIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UBIGINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UBIGINT: 'UBIGINT'>"}, "sqlglot.tokens.TokenType.INT128": {"fullname": "sqlglot.tokens.TokenType.INT128", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT128", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT128: 'INT128'>"}, "sqlglot.tokens.TokenType.UINT128": {"fullname": "sqlglot.tokens.TokenType.UINT128", "modulename": "sqlglot.tokens", "qualname": "TokenType.UINT128", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UINT128: 'UINT128'>"}, "sqlglot.tokens.TokenType.INT256": {"fullname": "sqlglot.tokens.TokenType.INT256", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT256", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT256: 'INT256'>"}, "sqlglot.tokens.TokenType.UINT256": {"fullname": "sqlglot.tokens.TokenType.UINT256", "modulename": "sqlglot.tokens", "qualname": "TokenType.UINT256", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UINT256: 'UINT256'>"}, "sqlglot.tokens.TokenType.FLOAT": {"fullname": "sqlglot.tokens.TokenType.FLOAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FLOAT: 'FLOAT'>"}, "sqlglot.tokens.TokenType.DOUBLE": {"fullname": "sqlglot.tokens.TokenType.DOUBLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOUBLE: 'DOUBLE'>"}, "sqlglot.tokens.TokenType.DECIMAL": {"fullname": "sqlglot.tokens.TokenType.DECIMAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DECIMAL: 'DECIMAL'>"}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"fullname": "sqlglot.tokens.TokenType.BIGDECIMAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGDECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGDECIMAL: 'BIGDECIMAL'>"}, "sqlglot.tokens.TokenType.CHAR": {"fullname": "sqlglot.tokens.TokenType.CHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHAR: 'CHAR'>"}, "sqlglot.tokens.TokenType.NCHAR": {"fullname": "sqlglot.tokens.TokenType.NCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NCHAR: 'NCHAR'>"}, "sqlglot.tokens.TokenType.VARCHAR": {"fullname": "sqlglot.tokens.TokenType.VARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARCHAR: 'VARCHAR'>"}, "sqlglot.tokens.TokenType.NVARCHAR": {"fullname": "sqlglot.tokens.TokenType.NVARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.tokens.TokenType.TEXT": {"fullname": "sqlglot.tokens.TokenType.TEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEXT: 'TEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"fullname": "sqlglot.tokens.TokenType.MEDIUMTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.tokens.TokenType.LONGTEXT": {"fullname": "sqlglot.tokens.TokenType.LONGTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"fullname": "sqlglot.tokens.TokenType.MEDIUMBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.tokens.TokenType.LONGBLOB": {"fullname": "sqlglot.tokens.TokenType.LONGBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.tokens.TokenType.BINARY": {"fullname": "sqlglot.tokens.TokenType.BINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BINARY: 'BINARY'>"}, "sqlglot.tokens.TokenType.VARBINARY": {"fullname": "sqlglot.tokens.TokenType.VARBINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARBINARY: 'VARBINARY'>"}, "sqlglot.tokens.TokenType.JSON": {"fullname": "sqlglot.tokens.TokenType.JSON", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSON: 'JSON'>"}, "sqlglot.tokens.TokenType.JSONB": {"fullname": "sqlglot.tokens.TokenType.JSONB", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSONB: 'JSONB'>"}, "sqlglot.tokens.TokenType.TIME": {"fullname": "sqlglot.tokens.TokenType.TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIME: 'TIME'>"}, "sqlglot.tokens.TokenType.TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPLTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.tokens.TokenType.DATETIME": {"fullname": "sqlglot.tokens.TokenType.DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATETIME: 'DATETIME'>"}, "sqlglot.tokens.TokenType.DATETIME64": {"fullname": "sqlglot.tokens.TokenType.DATETIME64", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATETIME64", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATETIME64: 'DATETIME64'>"}, "sqlglot.tokens.TokenType.DATE": {"fullname": "sqlglot.tokens.TokenType.DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATE: 'DATE'>"}, "sqlglot.tokens.TokenType.UUID": {"fullname": "sqlglot.tokens.TokenType.UUID", "modulename": "sqlglot.tokens", "qualname": "TokenType.UUID", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UUID: 'UUID'>"}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"fullname": "sqlglot.tokens.TokenType.GEOGRAPHY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.tokens.TokenType.NULLABLE": {"fullname": "sqlglot.tokens.TokenType.NULLABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLABLE: 'NULLABLE'>"}, "sqlglot.tokens.TokenType.GEOMETRY": {"fullname": "sqlglot.tokens.TokenType.GEOMETRY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.tokens.TokenType.HLLSKETCH": {"fullname": "sqlglot.tokens.TokenType.HLLSKETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.tokens.TokenType.HSTORE": {"fullname": "sqlglot.tokens.TokenType.HSTORE", "modulename": "sqlglot.tokens", "qualname": "TokenType.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HSTORE: 'HSTORE'>"}, "sqlglot.tokens.TokenType.SUPER": {"fullname": "sqlglot.tokens.TokenType.SUPER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SUPER: 'SUPER'>"}, "sqlglot.tokens.TokenType.SERIAL": {"fullname": "sqlglot.tokens.TokenType.SERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERIAL: 'SERIAL'>"}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"fullname": "sqlglot.tokens.TokenType.SMALLSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.tokens.TokenType.BIGSERIAL": {"fullname": "sqlglot.tokens.TokenType.BIGSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.tokens.TokenType.XML": {"fullname": "sqlglot.tokens.TokenType.XML", "modulename": "sqlglot.tokens", "qualname": "TokenType.XML", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.XML: 'XML'>"}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.tokens.TokenType.MONEY": {"fullname": "sqlglot.tokens.TokenType.MONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MONEY: 'MONEY'>"}, "sqlglot.tokens.TokenType.SMALLMONEY": {"fullname": "sqlglot.tokens.TokenType.SMALLMONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.tokens.TokenType.ROWVERSION": {"fullname": "sqlglot.tokens.TokenType.ROWVERSION", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.tokens.TokenType.IMAGE": {"fullname": "sqlglot.tokens.TokenType.IMAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IMAGE: 'IMAGE'>"}, "sqlglot.tokens.TokenType.VARIANT": {"fullname": "sqlglot.tokens.TokenType.VARIANT", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARIANT: 'VARIANT'>"}, "sqlglot.tokens.TokenType.OBJECT": {"fullname": "sqlglot.tokens.TokenType.OBJECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OBJECT: 'OBJECT'>"}, "sqlglot.tokens.TokenType.INET": {"fullname": "sqlglot.tokens.TokenType.INET", "modulename": "sqlglot.tokens", "qualname": "TokenType.INET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INET: 'INET'>"}, "sqlglot.tokens.TokenType.ALIAS": {"fullname": "sqlglot.tokens.TokenType.ALIAS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALIAS: 'ALIAS'>"}, "sqlglot.tokens.TokenType.ALTER": {"fullname": "sqlglot.tokens.TokenType.ALTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALTER: 'ALTER'>"}, "sqlglot.tokens.TokenType.ALWAYS": {"fullname": "sqlglot.tokens.TokenType.ALWAYS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALWAYS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALWAYS: 'ALWAYS'>"}, "sqlglot.tokens.TokenType.ALL": {"fullname": "sqlglot.tokens.TokenType.ALL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALL: 'ALL'>"}, "sqlglot.tokens.TokenType.ANTI": {"fullname": "sqlglot.tokens.TokenType.ANTI", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANTI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANTI: 'ANTI'>"}, "sqlglot.tokens.TokenType.ANY": {"fullname": "sqlglot.tokens.TokenType.ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANY: 'ANY'>"}, "sqlglot.tokens.TokenType.APPLY": {"fullname": "sqlglot.tokens.TokenType.APPLY", "modulename": "sqlglot.tokens", "qualname": "TokenType.APPLY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.APPLY: 'APPLY'>"}, "sqlglot.tokens.TokenType.ARRAY": {"fullname": "sqlglot.tokens.TokenType.ARRAY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARRAY: 'ARRAY'>"}, "sqlglot.tokens.TokenType.ASC": {"fullname": "sqlglot.tokens.TokenType.ASC", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASC: 'ASC'>"}, "sqlglot.tokens.TokenType.ASOF": {"fullname": "sqlglot.tokens.TokenType.ASOF", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASOF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASOF: 'ASOF'>"}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"fullname": "sqlglot.tokens.TokenType.AUTO_INCREMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AUTO_INCREMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>"}, "sqlglot.tokens.TokenType.BEGIN": {"fullname": "sqlglot.tokens.TokenType.BEGIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BEGIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BEGIN: 'BEGIN'>"}, "sqlglot.tokens.TokenType.BETWEEN": {"fullname": "sqlglot.tokens.TokenType.BETWEEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BETWEEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BETWEEN: 'BETWEEN'>"}, "sqlglot.tokens.TokenType.CACHE": {"fullname": "sqlglot.tokens.TokenType.CACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CACHE: 'CACHE'>"}, "sqlglot.tokens.TokenType.CASE": {"fullname": "sqlglot.tokens.TokenType.CASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CASE: 'CASE'>"}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"fullname": "sqlglot.tokens.TokenType.CHARACTER_SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHARACTER_SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHARACTER_SET: 'CHARACTER_SET'>"}, "sqlglot.tokens.TokenType.COLLATE": {"fullname": "sqlglot.tokens.TokenType.COLLATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLLATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLLATE: 'COLLATE'>"}, "sqlglot.tokens.TokenType.COMMAND": {"fullname": "sqlglot.tokens.TokenType.COMMAND", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMAND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMAND: 'COMMAND'>"}, "sqlglot.tokens.TokenType.COMMENT": {"fullname": "sqlglot.tokens.TokenType.COMMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMENT: 'COMMENT'>"}, "sqlglot.tokens.TokenType.COMMIT": {"fullname": "sqlglot.tokens.TokenType.COMMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMIT: 'COMMIT'>"}, "sqlglot.tokens.TokenType.CONSTRAINT": {"fullname": "sqlglot.tokens.TokenType.CONSTRAINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.CONSTRAINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CONSTRAINT: 'CONSTRAINT'>"}, "sqlglot.tokens.TokenType.CREATE": {"fullname": "sqlglot.tokens.TokenType.CREATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CREATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CREATE: 'CREATE'>"}, "sqlglot.tokens.TokenType.CROSS": {"fullname": "sqlglot.tokens.TokenType.CROSS", "modulename": "sqlglot.tokens", "qualname": "TokenType.CROSS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CROSS: 'CROSS'>"}, "sqlglot.tokens.TokenType.CUBE": {"fullname": "sqlglot.tokens.TokenType.CUBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CUBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CUBE: 'CUBE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATE: 'CURRENT_DATE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>"}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIME: 'CURRENT_TIME'>"}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>"}, "sqlglot.tokens.TokenType.CURRENT_USER": {"fullname": "sqlglot.tokens.TokenType.CURRENT_USER", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_USER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_USER: 'CURRENT_USER'>"}, "sqlglot.tokens.TokenType.DEFAULT": {"fullname": "sqlglot.tokens.TokenType.DEFAULT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DEFAULT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DEFAULT: 'DEFAULT'>"}, "sqlglot.tokens.TokenType.DELETE": {"fullname": "sqlglot.tokens.TokenType.DELETE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DELETE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DELETE: 'DELETE'>"}, "sqlglot.tokens.TokenType.DESC": {"fullname": "sqlglot.tokens.TokenType.DESC", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESC: 'DESC'>"}, "sqlglot.tokens.TokenType.DESCRIBE": {"fullname": "sqlglot.tokens.TokenType.DESCRIBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESCRIBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESCRIBE: 'DESCRIBE'>"}, "sqlglot.tokens.TokenType.DISTINCT": {"fullname": "sqlglot.tokens.TokenType.DISTINCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTINCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTINCT: 'DISTINCT'>"}, "sqlglot.tokens.TokenType.DIV": {"fullname": "sqlglot.tokens.TokenType.DIV", "modulename": "sqlglot.tokens", "qualname": "TokenType.DIV", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DIV: 'DIV'>"}, "sqlglot.tokens.TokenType.DROP": {"fullname": "sqlglot.tokens.TokenType.DROP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DROP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DROP: 'DROP'>"}, "sqlglot.tokens.TokenType.ELSE": {"fullname": "sqlglot.tokens.TokenType.ELSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ELSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ELSE: 'ELSE'>"}, "sqlglot.tokens.TokenType.END": {"fullname": "sqlglot.tokens.TokenType.END", "modulename": "sqlglot.tokens", "qualname": "TokenType.END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.END: 'END'>"}, "sqlglot.tokens.TokenType.ESCAPE": {"fullname": "sqlglot.tokens.TokenType.ESCAPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ESCAPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ESCAPE: 'ESCAPE'>"}, "sqlglot.tokens.TokenType.EXCEPT": {"fullname": "sqlglot.tokens.TokenType.EXCEPT", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXCEPT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXCEPT: 'EXCEPT'>"}, "sqlglot.tokens.TokenType.EXECUTE": {"fullname": "sqlglot.tokens.TokenType.EXECUTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXECUTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXECUTE: 'EXECUTE'>"}, "sqlglot.tokens.TokenType.EXISTS": {"fullname": "sqlglot.tokens.TokenType.EXISTS", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXISTS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXISTS: 'EXISTS'>"}, "sqlglot.tokens.TokenType.FALSE": {"fullname": "sqlglot.tokens.TokenType.FALSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.FALSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FALSE: 'FALSE'>"}, "sqlglot.tokens.TokenType.FETCH": {"fullname": "sqlglot.tokens.TokenType.FETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.FETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FETCH: 'FETCH'>"}, "sqlglot.tokens.TokenType.FILTER": {"fullname": "sqlglot.tokens.TokenType.FILTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.FILTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FILTER: 'FILTER'>"}, "sqlglot.tokens.TokenType.FINAL": {"fullname": "sqlglot.tokens.TokenType.FINAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FINAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FINAL: 'FINAL'>"}, "sqlglot.tokens.TokenType.FIRST": {"fullname": "sqlglot.tokens.TokenType.FIRST", "modulename": "sqlglot.tokens", "qualname": "TokenType.FIRST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FIRST: 'FIRST'>"}, "sqlglot.tokens.TokenType.FOR": {"fullname": "sqlglot.tokens.TokenType.FOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOR: 'FOR'>"}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"fullname": "sqlglot.tokens.TokenType.FOREIGN_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOREIGN_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>"}, "sqlglot.tokens.TokenType.FORMAT": {"fullname": "sqlglot.tokens.TokenType.FORMAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FORMAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FORMAT: 'FORMAT'>"}, "sqlglot.tokens.TokenType.FROM": {"fullname": "sqlglot.tokens.TokenType.FROM", "modulename": "sqlglot.tokens", "qualname": "TokenType.FROM", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FROM: 'FROM'>"}, "sqlglot.tokens.TokenType.FULL": {"fullname": "sqlglot.tokens.TokenType.FULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FULL: 'FULL'>"}, "sqlglot.tokens.TokenType.FUNCTION": {"fullname": "sqlglot.tokens.TokenType.FUNCTION", "modulename": "sqlglot.tokens", "qualname": "TokenType.FUNCTION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FUNCTION: 'FUNCTION'>"}, "sqlglot.tokens.TokenType.GLOB": {"fullname": "sqlglot.tokens.TokenType.GLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOB: 'GLOB'>"}, "sqlglot.tokens.TokenType.GLOBAL": {"fullname": "sqlglot.tokens.TokenType.GLOBAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOBAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOBAL: 'GLOBAL'>"}, "sqlglot.tokens.TokenType.GROUP_BY": {"fullname": "sqlglot.tokens.TokenType.GROUP_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUP_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUP_BY: 'GROUP_BY'>"}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"fullname": "sqlglot.tokens.TokenType.GROUPING_SETS", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUPING_SETS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUPING_SETS: 'GROUPING_SETS'>"}, "sqlglot.tokens.TokenType.HAVING": {"fullname": "sqlglot.tokens.TokenType.HAVING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HAVING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HAVING: 'HAVING'>"}, "sqlglot.tokens.TokenType.HINT": {"fullname": "sqlglot.tokens.TokenType.HINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.HINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HINT: 'HINT'>"}, "sqlglot.tokens.TokenType.IF": {"fullname": "sqlglot.tokens.TokenType.IF", "modulename": "sqlglot.tokens", "qualname": "TokenType.IF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IF: 'IF'>"}, "sqlglot.tokens.TokenType.ILIKE": {"fullname": "sqlglot.tokens.TokenType.ILIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE: 'ILIKE'>"}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.ILIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE_ANY: 'ILIKE_ANY'>"}, "sqlglot.tokens.TokenType.IN": {"fullname": "sqlglot.tokens.TokenType.IN", "modulename": "sqlglot.tokens", "qualname": "TokenType.IN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IN: 'IN'>"}, "sqlglot.tokens.TokenType.INDEX": {"fullname": "sqlglot.tokens.TokenType.INDEX", "modulename": "sqlglot.tokens", "qualname": "TokenType.INDEX", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INDEX: 'INDEX'>"}, "sqlglot.tokens.TokenType.INNER": {"fullname": "sqlglot.tokens.TokenType.INNER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INNER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INNER: 'INNER'>"}, "sqlglot.tokens.TokenType.INSERT": {"fullname": "sqlglot.tokens.TokenType.INSERT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INSERT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INSERT: 'INSERT'>"}, "sqlglot.tokens.TokenType.INTERSECT": {"fullname": "sqlglot.tokens.TokenType.INTERSECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERSECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERSECT: 'INTERSECT'>"}, "sqlglot.tokens.TokenType.INTERVAL": {"fullname": "sqlglot.tokens.TokenType.INTERVAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERVAL: 'INTERVAL'>"}, "sqlglot.tokens.TokenType.INTO": {"fullname": "sqlglot.tokens.TokenType.INTO", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTO: 'INTO'>"}, "sqlglot.tokens.TokenType.INTRODUCER": {"fullname": "sqlglot.tokens.TokenType.INTRODUCER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTRODUCER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTRODUCER: 'INTRODUCER'>"}, "sqlglot.tokens.TokenType.IRLIKE": {"fullname": "sqlglot.tokens.TokenType.IRLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IRLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IRLIKE: 'IRLIKE'>"}, "sqlglot.tokens.TokenType.IS": {"fullname": "sqlglot.tokens.TokenType.IS", "modulename": "sqlglot.tokens", "qualname": "TokenType.IS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IS: 'IS'>"}, "sqlglot.tokens.TokenType.ISNULL": {"fullname": "sqlglot.tokens.TokenType.ISNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ISNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ISNULL: 'ISNULL'>"}, "sqlglot.tokens.TokenType.JOIN": {"fullname": "sqlglot.tokens.TokenType.JOIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.JOIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JOIN: 'JOIN'>"}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"fullname": "sqlglot.tokens.TokenType.JOIN_MARKER", "modulename": "sqlglot.tokens", "qualname": "TokenType.JOIN_MARKER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JOIN_MARKER: 'JOIN_MARKER'>"}, "sqlglot.tokens.TokenType.KEEP": {"fullname": "sqlglot.tokens.TokenType.KEEP", "modulename": "sqlglot.tokens", "qualname": "TokenType.KEEP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.KEEP: 'KEEP'>"}, "sqlglot.tokens.TokenType.LANGUAGE": {"fullname": "sqlglot.tokens.TokenType.LANGUAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LANGUAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LANGUAGE: 'LANGUAGE'>"}, "sqlglot.tokens.TokenType.LATERAL": {"fullname": "sqlglot.tokens.TokenType.LATERAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.LATERAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LATERAL: 'LATERAL'>"}, "sqlglot.tokens.TokenType.LEFT": {"fullname": "sqlglot.tokens.TokenType.LEFT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LEFT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LEFT: 'LEFT'>"}, "sqlglot.tokens.TokenType.LIKE": {"fullname": "sqlglot.tokens.TokenType.LIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE: 'LIKE'>"}, "sqlglot.tokens.TokenType.LIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.LIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE_ANY: 'LIKE_ANY'>"}, "sqlglot.tokens.TokenType.LIMIT": {"fullname": "sqlglot.tokens.TokenType.LIMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIMIT: 'LIMIT'>"}, "sqlglot.tokens.TokenType.LOAD": {"fullname": "sqlglot.tokens.TokenType.LOAD", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOAD", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOAD: 'LOAD'>"}, "sqlglot.tokens.TokenType.LOCK": {"fullname": "sqlglot.tokens.TokenType.LOCK", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOCK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOCK: 'LOCK'>"}, "sqlglot.tokens.TokenType.MAP": {"fullname": "sqlglot.tokens.TokenType.MAP", "modulename": "sqlglot.tokens", "qualname": "TokenType.MAP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MAP: 'MAP'>"}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"fullname": "sqlglot.tokens.TokenType.MATCH_RECOGNIZE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MATCH_RECOGNIZE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MATCH_RECOGNIZE: 'MATCH_RECOGNIZE'>"}, "sqlglot.tokens.TokenType.MERGE": {"fullname": "sqlglot.tokens.TokenType.MERGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MERGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MERGE: 'MERGE'>"}, "sqlglot.tokens.TokenType.MOD": {"fullname": "sqlglot.tokens.TokenType.MOD", "modulename": "sqlglot.tokens", "qualname": "TokenType.MOD", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MOD: 'MOD'>"}, "sqlglot.tokens.TokenType.NATURAL": {"fullname": "sqlglot.tokens.TokenType.NATURAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATURAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATURAL: 'NATURAL'>"}, "sqlglot.tokens.TokenType.NEXT": {"fullname": "sqlglot.tokens.TokenType.NEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEXT: 'NEXT'>"}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"fullname": "sqlglot.tokens.TokenType.NEXT_VALUE_FOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEXT_VALUE_FOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEXT_VALUE_FOR: 'NEXT_VALUE_FOR'>"}, "sqlglot.tokens.TokenType.NOTNULL": {"fullname": "sqlglot.tokens.TokenType.NOTNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOTNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOTNULL: 'NOTNULL'>"}, "sqlglot.tokens.TokenType.NULL": {"fullname": "sqlglot.tokens.TokenType.NULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULL: 'NULL'>"}, "sqlglot.tokens.TokenType.OFFSET": {"fullname": "sqlglot.tokens.TokenType.OFFSET", "modulename": "sqlglot.tokens", "qualname": "TokenType.OFFSET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OFFSET: 'OFFSET'>"}, "sqlglot.tokens.TokenType.ON": {"fullname": "sqlglot.tokens.TokenType.ON", "modulename": "sqlglot.tokens", "qualname": "TokenType.ON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ON: 'ON'>"}, "sqlglot.tokens.TokenType.ORDER_BY": {"fullname": "sqlglot.tokens.TokenType.ORDER_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDER_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDER_BY: 'ORDER_BY'>"}, "sqlglot.tokens.TokenType.ORDERED": {"fullname": "sqlglot.tokens.TokenType.ORDERED", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDERED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDERED: 'ORDERED'>"}, "sqlglot.tokens.TokenType.ORDINALITY": {"fullname": "sqlglot.tokens.TokenType.ORDINALITY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDINALITY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDINALITY: 'ORDINALITY'>"}, "sqlglot.tokens.TokenType.OUTER": {"fullname": "sqlglot.tokens.TokenType.OUTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OUTER: 'OUTER'>"}, "sqlglot.tokens.TokenType.OVER": {"fullname": "sqlglot.tokens.TokenType.OVER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVER: 'OVER'>"}, "sqlglot.tokens.TokenType.OVERLAPS": {"fullname": "sqlglot.tokens.TokenType.OVERLAPS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERLAPS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERLAPS: 'OVERLAPS'>"}, "sqlglot.tokens.TokenType.OVERWRITE": {"fullname": "sqlglot.tokens.TokenType.OVERWRITE", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERWRITE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERWRITE: 'OVERWRITE'>"}, "sqlglot.tokens.TokenType.PARTITION": {"fullname": "sqlglot.tokens.TokenType.PARTITION", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION: 'PARTITION'>"}, "sqlglot.tokens.TokenType.PARTITION_BY": {"fullname": "sqlglot.tokens.TokenType.PARTITION_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION_BY: 'PARTITION_BY'>"}, "sqlglot.tokens.TokenType.PERCENT": {"fullname": "sqlglot.tokens.TokenType.PERCENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PERCENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PERCENT: 'PERCENT'>"}, "sqlglot.tokens.TokenType.PIVOT": {"fullname": "sqlglot.tokens.TokenType.PIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIVOT: 'PIVOT'>"}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"fullname": "sqlglot.tokens.TokenType.PLACEHOLDER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLACEHOLDER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLACEHOLDER: 'PLACEHOLDER'>"}, "sqlglot.tokens.TokenType.PRAGMA": {"fullname": "sqlglot.tokens.TokenType.PRAGMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRAGMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRAGMA: 'PRAGMA'>"}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"fullname": "sqlglot.tokens.TokenType.PRIMARY_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRIMARY_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>"}, "sqlglot.tokens.TokenType.PROCEDURE": {"fullname": "sqlglot.tokens.TokenType.PROCEDURE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROCEDURE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROCEDURE: 'PROCEDURE'>"}, "sqlglot.tokens.TokenType.PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROPERTIES: 'PROPERTIES'>"}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"fullname": "sqlglot.tokens.TokenType.PSEUDO_TYPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PSEUDO_TYPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>"}, "sqlglot.tokens.TokenType.QUALIFY": {"fullname": "sqlglot.tokens.TokenType.QUALIFY", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUALIFY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUALIFY: 'QUALIFY'>"}, "sqlglot.tokens.TokenType.QUOTE": {"fullname": "sqlglot.tokens.TokenType.QUOTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUOTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUOTE: 'QUOTE'>"}, "sqlglot.tokens.TokenType.RANGE": {"fullname": "sqlglot.tokens.TokenType.RANGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RANGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RANGE: 'RANGE'>"}, "sqlglot.tokens.TokenType.RECURSIVE": {"fullname": "sqlglot.tokens.TokenType.RECURSIVE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RECURSIVE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RECURSIVE: 'RECURSIVE'>"}, "sqlglot.tokens.TokenType.REPLACE": {"fullname": "sqlglot.tokens.TokenType.REPLACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.REPLACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REPLACE: 'REPLACE'>"}, "sqlglot.tokens.TokenType.RETURNING": {"fullname": "sqlglot.tokens.TokenType.RETURNING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RETURNING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RETURNING: 'RETURNING'>"}, "sqlglot.tokens.TokenType.REFERENCES": {"fullname": "sqlglot.tokens.TokenType.REFERENCES", "modulename": "sqlglot.tokens", "qualname": "TokenType.REFERENCES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REFERENCES: 'REFERENCES'>"}, "sqlglot.tokens.TokenType.RIGHT": {"fullname": "sqlglot.tokens.TokenType.RIGHT", "modulename": "sqlglot.tokens", "qualname": "TokenType.RIGHT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RIGHT: 'RIGHT'>"}, "sqlglot.tokens.TokenType.RLIKE": {"fullname": "sqlglot.tokens.TokenType.RLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RLIKE: 'RLIKE'>"}, "sqlglot.tokens.TokenType.ROLLBACK": {"fullname": "sqlglot.tokens.TokenType.ROLLBACK", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLBACK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLBACK: 'ROLLBACK'>"}, "sqlglot.tokens.TokenType.ROLLUP": {"fullname": "sqlglot.tokens.TokenType.ROLLUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLUP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLUP: 'ROLLUP'>"}, "sqlglot.tokens.TokenType.ROW": {"fullname": "sqlglot.tokens.TokenType.ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROW: 'ROW'>"}, "sqlglot.tokens.TokenType.ROWS": {"fullname": "sqlglot.tokens.TokenType.ROWS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWS: 'ROWS'>"}, "sqlglot.tokens.TokenType.SELECT": {"fullname": "sqlglot.tokens.TokenType.SELECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SELECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SELECT: 'SELECT'>"}, "sqlglot.tokens.TokenType.SEMI": {"fullname": "sqlglot.tokens.TokenType.SEMI", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMI: 'SEMI'>"}, "sqlglot.tokens.TokenType.SEPARATOR": {"fullname": "sqlglot.tokens.TokenType.SEPARATOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEPARATOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEPARATOR: 'SEPARATOR'>"}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.SERDE_PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERDE_PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>"}, "sqlglot.tokens.TokenType.SET": {"fullname": "sqlglot.tokens.TokenType.SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SET: 'SET'>"}, "sqlglot.tokens.TokenType.SETTINGS": {"fullname": "sqlglot.tokens.TokenType.SETTINGS", "modulename": "sqlglot.tokens", "qualname": "TokenType.SETTINGS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SETTINGS: 'SETTINGS'>"}, "sqlglot.tokens.TokenType.SHOW": {"fullname": "sqlglot.tokens.TokenType.SHOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.SHOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SHOW: 'SHOW'>"}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"fullname": "sqlglot.tokens.TokenType.SIMILAR_TO", "modulename": "sqlglot.tokens", "qualname": "TokenType.SIMILAR_TO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SIMILAR_TO: 'SIMILAR_TO'>"}, "sqlglot.tokens.TokenType.SOME": {"fullname": "sqlglot.tokens.TokenType.SOME", "modulename": "sqlglot.tokens", "qualname": "TokenType.SOME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SOME: 'SOME'>"}, "sqlglot.tokens.TokenType.STRUCT": {"fullname": "sqlglot.tokens.TokenType.STRUCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRUCT: 'STRUCT'>"}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"fullname": "sqlglot.tokens.TokenType.TABLE_SAMPLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE_SAMPLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>"}, "sqlglot.tokens.TokenType.TEMPORARY": {"fullname": "sqlglot.tokens.TokenType.TEMPORARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEMPORARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEMPORARY: 'TEMPORARY'>"}, "sqlglot.tokens.TokenType.TOP": {"fullname": "sqlglot.tokens.TokenType.TOP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TOP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "

Token initializer.

\n\n
Arguments:
\n\n
    \n
  • token_type: The TokenType Enum.
    • \n
  • text: The text of the token.
    • \n
  • line: The line that the token ends on.
    • \n
  • col: The column that the token ends on.
    • \n
  • start: The start index of the token.
    • \n
  • end: The ending index of the token.
    • \n
\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tstart: int = 0,\tend: int = 0,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "

Returns a NUMBER token with number as its text.

\n", "signature": "(cls, number: int) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.string": {"fullname": "sqlglot.tokens.Token.string", "modulename": "sqlglot.tokens", "qualname": "Token.string", "kind": "function", "doc": "

Returns a STRING token with string as its text.

\n", "signature": "(cls, string: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.identifier": {"fullname": "sqlglot.tokens.Token.identifier", "modulename": "sqlglot.tokens", "qualname": "Token.identifier", "kind": "function", "doc": "

Returns an IDENTIFIER token with identifier as its text.

\n", "signature": "(cls, identifier: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.var": {"fullname": "sqlglot.tokens.Token.var", "modulename": "sqlglot.tokens", "qualname": "Token.var", "kind": "function", "doc": "

Returns an VAR token with var as its text.

\n", "signature": "(cls, var: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "

Returns a list of tokens corresponding to the SQL string sql.

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.transforms": {"fullname": "sqlglot.transforms", "modulename": "sqlglot.transforms", "kind": "module", "doc": "

\n"}, "sqlglot.transforms.unalias_group": {"fullname": "sqlglot.transforms.unalias_group", "modulename": "sqlglot.transforms", "qualname": "unalias_group", "kind": "function", "doc": "

Replace references to select aliases in GROUP BY clauses.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "

Convert SELECT DISTINCT ON statements to a subquery with a window function.

\n\n

This is useful for dialects that don't support SELECT DISTINCT ON but support window functions.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_qualify": {"fullname": "sqlglot.transforms.eliminate_qualify", "modulename": "sqlglot.transforms", "qualname": "eliminate_qualify", "kind": "function", "doc": "

Convert SELECT statements that contain the QUALIFY clause into subqueries, filtered equivalently.

\n\n

The idea behind this transformation can be seen in Snowflake's documentation for QUALIFY:\nhttps://docs.snowflake.com/en/sql-reference/constructs/qualify

\n\n

Some dialects don't support window functions in the WHERE clause, so we need to include them as\nprojections in the subquery, in order to refer to them in the outer filter using aliases. Also,\nif a column is referenced in the QUALIFY clause but is not selected, we need to include it too,\notherwise we won't be able to refer to it in the outer query's WHERE clause.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "

Some dialects only allow the precision for parameterized types to be defined in the DDL and not in\nother expressions. This transforms removes the precision from parameterized types in expressions.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.unnest_to_explode": {"fullname": "sqlglot.transforms.unnest_to_explode", "modulename": "sqlglot.transforms", "qualname": "unnest_to_explode", "kind": "function", "doc": "

Convert cross join unnest into lateral view explode (used in presto -> hive).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.explode_to_unnest": {"fullname": "sqlglot.transforms.explode_to_unnest", "modulename": "sqlglot.transforms", "qualname": "explode_to_unnest", "kind": "function", "doc": "

Convert explode/posexplode into unnest (used in hive -> presto).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_target_from_merge": {"fullname": "sqlglot.transforms.remove_target_from_merge", "modulename": "sqlglot.transforms", "qualname": "remove_target_from_merge", "kind": "function", "doc": "

Remove table refs from columns in when statements.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_within_group_for_percentiles": {"fullname": "sqlglot.transforms.remove_within_group_for_percentiles", "modulename": "sqlglot.transforms", "qualname": "remove_within_group_for_percentiles", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.add_recursive_cte_column_names": {"fullname": "sqlglot.transforms.add_recursive_cte_column_names", "modulename": "sqlglot.transforms", "qualname": "add_recursive_cte_column_names", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.preprocess": {"fullname": "sqlglot.transforms.preprocess", "modulename": "sqlglot.transforms", "qualname": "preprocess", "kind": "function", "doc": "

Creates a new transform by chaining a sequence of transformations and converts the resulting\nexpression to SQL, using either the \"_sql\" method corresponding to the resulting expression,\nor the appropriate Generator.TRANSFORMS function (when applicable -- see below).

\n\n
Arguments:
\n\n
    \n
  • transforms: sequence of transform functions. These will be called in order.
    • \n
\n\n
Returns:
\n\n
\n

Function that can be used as a generator transform.

\n
\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "

\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "

Creates a new trie out of a collection of keywords.

\n\n

The trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.

\n\n
Example:
\n\n
\n
\n
>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • keywords: the keywords to create the trie from.
    • \n
  • trie: a trie to mutate instead of creating a new one
    • \n
\n\n
Returns:
\n\n
\n

The trie corresponding to keywords.

\n
\n", "signature": "(\tkeywords: Iterable[Sequence[Hashable]],\ttrie: Optional[Dict] = None) -> Dict:", "funcdef": "def"}, "sqlglot.trie.in_trie": {"fullname": "sqlglot.trie.in_trie", "modulename": "sqlglot.trie", "qualname": "in_trie", "kind": "function", "doc": "

Checks whether a key is in a trie.

\n\n
Examples:
\n\n
\n
\n
>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • trie: the trie to be searched.
    • \n
  • key: the target key.
    • \n
\n\n
Returns:
\n\n
\n

A pair (value, subtrie), where subtrie is the sub-trie we get at the point where the search stops, and value\n is either 0 (search was unsuccessful), 1 (value is a prefix of a keyword in trie) or 2 (key is intrie`).

\n
\n", "signature": "(trie: Dict, key: Sequence[Hashable]) -> Tuple[int, Dict]:", "funcdef": "def"}}, "docInfo": {"sqlglot": {"qualname": 0, "fullname": 1, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 5861}, "sqlglot.pretty": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 1, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.schema": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parse": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 124, "bases": 0, "doc": 84}, "sqlglot.parse_one": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 198, "bases": 0, "doc": 99}, "sqlglot.transpile": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 239, "bases": 0, "doc": 177}, "sqlglot.dataframe": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3543}, "sqlglot.dataframe.sql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 259, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.select": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.where": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.union": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersect": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.distinct": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 100}, "sqlglot.dataframe.sql.DataFrame.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 217, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.limit": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.hint": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.repartition": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.cache": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.persist": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 20}, "sqlglot.dataframe.sql.GroupedData": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.count": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.mean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.avg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.max": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.min": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.sum": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.pivot": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 63, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_col": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_cols": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 98, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 92, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.binary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.unary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_literal": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.set_table_name": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.when": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.otherwise": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNotNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.cast": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 27}, "sqlglot.dataframe.sql.Column.startswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.endswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.rlike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.like": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ilike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.substr": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 121, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isin": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 81, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.over": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 177, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dialects": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 764}, "sqlglot.dialects.bigquery": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 7}, "sqlglot.dialects.bigquery.BigQuery": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks.Databricks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.databricks.Databricks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 629}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.dialect": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 5}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.HIVE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SPARK": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TRINO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DRILL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 105, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.format_time": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse_into": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 126, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.transpile": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 37, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.tokenize": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.rename_func": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.if_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.inline_array_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_ilike_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_tablesample_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_pivot_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_trycast_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_properties_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_position_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.struct_extract_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.var_map_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 71}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 46}, "sqlglot.dialects.dialect.parse_date_delta": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.date_trunc_to_time": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.locate_to_strposition": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.timestrtotime_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.datestrtodate_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.min_or_least": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.max_or_greatest": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.count_if_to_sum": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.trim_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_to_time_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.pivot_column_names": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 3}, "sqlglot.dialects.drill": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.drill.Drill": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.drill.Drill.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.drill.Drill.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.drill.Drill.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 3}, "sqlglot.dialects.hive": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.hive.Hive.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.hive.Hive.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.hive.Hive.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.mysql.MySQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.oracle.Oracle.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.postgres.Postgres": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.postgres.Postgres.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.presto": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.presto.Presto.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.presto.Presto.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.presto.Presto.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift.Redshift": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 629}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 58}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 19}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 75}, "sqlglot.dialects.snowflake": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.dialects.spark": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.spark.Spark": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.spark.Spark.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.spark.Spark.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 629}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2.Spark2": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.spark2.Spark2.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.spark2.Spark2.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 629}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.sqlite": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.sqlite.SQLite.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 629}, "sqlglot.dialects.tableau": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata.Teradata.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.trino": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.trino.Trino": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.trino.Trino.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 629}, "sqlglot.dialects.trino.Trino.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.tsql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.tsql.TSQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.diff": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 6444}, "sqlglot.diff.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Insert.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Remove": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Remove.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Move": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.diff.Move.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Update.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.Keep": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.diff.Keep.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.diff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 206, "bases": 0, "doc": 306}, "sqlglot.diff.ChangeDistiller": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 46}, "sqlglot.diff.ChangeDistiller.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.diff.ChangeDistiller.diff": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 199, "bases": 0, "doc": 3}, "sqlglot.errors": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.errors.ErrorLevel": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.errors.ErrorLevel.IGNORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.WARN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.RAISE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 12}, "sqlglot.errors.SqlglotError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 11}, "sqlglot.errors.UnsupportedError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.errors.ParseError.new": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 207, "bases": 0, "doc": 3}, "sqlglot.errors.TokenError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.OptimizeError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.SchemaError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ExecuteError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.concat_messages": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.errors.merge_errors": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.executor": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 2950}, "sqlglot.executor.execute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 197, "bases": 0, "doc": 115}, "sqlglot.executor.context": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 64}, "sqlglot.executor.context.Context.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 21}, "sqlglot.executor.context.Context.eval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.eval_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.table_iter": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 72, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_row": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_index": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_range": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.executor.env": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key.__init__": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.env.filter_nulls": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.null_if_any": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 13, "bases": 0, "doc": 59}, "sqlglot.executor.env.str_position": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.env.substring": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.executor.env.cast": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.env.ordered": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.interval": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.execute": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 16}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 15}, "sqlglot.executor.python.PythonExecutor.context": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.static": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_table": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.hash_join": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.aggregate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.set_operation": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.Python": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.executor.python.Python.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.executor.python.Python.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 629}, "sqlglot.executor.table": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.append": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.pop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.executor.table.Tables": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 87}, "sqlglot.executor.table.ensure_tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.expressions": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 346}, "sqlglot.expressions.Expression.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Expression.this": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.text": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 32}, "sqlglot.expressions.Expression.is_string": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_number": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_int": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.alias": {"qualname": 2, "fullname": 4, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.expressions.Expression.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Expression.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.add_comments": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.expressions.Expression.append": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 54}, "sqlglot.expressions.Expression.set": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 45}, "sqlglot.expressions.Expression.depth": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.iter_expressions": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 14}, "sqlglot.expressions.Expression.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 63}, "sqlglot.expressions.Expression.find_all": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression.find_ancestor": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 43}, "sqlglot.expressions.Expression.parent_select": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "sqlglot.expressions.Expression.same_parent": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 13}, "sqlglot.expressions.Expression.root": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 89}, "sqlglot.expressions.Expression.dfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.bfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.unalias": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 12}, "sqlglot.expressions.Expression.unnest_operands": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.flatten": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 28}, "sqlglot.expressions.Expression.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression.transform": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 111}, "sqlglot.expressions.Expression.replace": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 83}, "sqlglot.expressions.Expression.pop": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 22}, "sqlglot.expressions.Expression.assert_is": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 17, "bases": 0, "doc": 162}, "sqlglot.expressions.Expression.error_messages": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 79}, "sqlglot.expressions.Expression.dump": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.load": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 17}, "sqlglot.expressions.Condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Condition.and_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 193}, "sqlglot.expressions.Condition.or_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 193}, "sqlglot.expressions.Condition.not_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 110}, "sqlglot.expressions.Condition.as_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 178, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.isin": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.between": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.is_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.like": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.ilike": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.eq": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.neq": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.rlike": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Predicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 13}, "sqlglot.expressions.DerivedTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable.union": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.Unionable.intersect": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 210}, "sqlglot.expressions.Unionable.except_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 211}, "sqlglot.expressions.UDTF": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Cache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Uncache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Create": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Clone": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Describe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Pragma": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Set": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetItem": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Show": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UserDefinedFunction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSet": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.With": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithinGroup": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TableAlias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.HexString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ByteString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Column.parts": {"qualname": 2, "fullname": 4, "annotation": 4, "default_value": 0, "signature": 0, "bases": 0, "doc": 15}, "sqlglot.expressions.Column.to_dot": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 10}, "sqlglot.expressions.ColumnPosition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnDef": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterColumn": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RenameTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetTag": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Comment": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeTreeTTLAction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeTreeTTL": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraintKind": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CheckColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CommentColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CompressColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateFormatColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefaultColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EncodeColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.InlineLengthColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NotNullColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OnUpdateColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TitleColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UniqueColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UppercaseColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PathColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Constraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Delete.delete": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 150}, "sqlglot.expressions.Delete.where": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 226}, "sqlglot.expressions.Delete.returning": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 194}, "sqlglot.expressions.Drop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Filter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Check": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Directory": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ForeignKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unique": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Into": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.From": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Having": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JoinHint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Index": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Insert.with_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 236, "bases": 0, "doc": 291}, "sqlglot.expressions.OnConflict": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Returning": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Introducer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.National": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LoadData": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Partition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Fetch": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Group": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lambda": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Limit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Join.on": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 252}, "sqlglot.expressions.Join.using": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 254}, "sqlglot.expressions.Lateral": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MatchRecognize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Final": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Offset": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Order": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cluster": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distribute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ordered": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Property": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlgorithmProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BlockCompressionProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ChecksumProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataBlocksizeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefinerProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistStyleProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EngineProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExecuteAsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExternalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FallbackProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FileFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FreespaceProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.InputOutputFormat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IsolatedLoadingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JournalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LanguageProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LikeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LocationProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LockingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MaterializedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeBlockRatioProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NoPrimaryIndexProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OnCommitProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PartitionedByProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReturnsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatDelimitedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatSerdeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SchemaCommentProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SerdeProperties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SettingsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SqlSecurityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StabilityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TemporaryProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TransientProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VolatileProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithDataProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithJournalTableProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties.Location": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_NAME": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_WITH": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.from_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.expressions.Qualify": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Return": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reference": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tuple": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tuple.isin": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 3}, "sqlglot.expressions.Subqueryable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Subqueryable.subquery": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 213}, "sqlglot.expressions.Subqueryable.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.expressions.Subqueryable.with_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 236, "bases": 0, "doc": 301}, "sqlglot.expressions.Table": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Table.parts": {"qualname": 2, "fullname": 4, "annotation": 4, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.expressions.SystemTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 234}, "sqlglot.expressions.Union.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 245}, "sqlglot.expressions.Union.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Except": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unnest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lock": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select.from_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 199}, "sqlglot.expressions.Select.group_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 287}, "sqlglot.expressions.Select.order_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 262}, "sqlglot.expressions.Select.sort_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 276}, "sqlglot.expressions.Select.cluster_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 276}, "sqlglot.expressions.Select.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 231}, "sqlglot.expressions.Select.offset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 231}, "sqlglot.expressions.Select.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 196}, "sqlglot.expressions.Select.lateral": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 247}, "sqlglot.expressions.Select.join": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 118, "bases": 0, "doc": 628}, "sqlglot.expressions.Select.where": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 265}, "sqlglot.expressions.Select.having": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 287}, "sqlglot.expressions.Select.window": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 3}, "sqlglot.expressions.Select.qualify": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 3}, "sqlglot.expressions.Select.distinct": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 157}, "sqlglot.expressions.Select.ctas": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 72, "bases": 0, "doc": 236}, "sqlglot.expressions.Select.lock": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 331}, "sqlglot.expressions.Select.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Subquery.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 8}, "sqlglot.expressions.Subquery.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.TableSample": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tag": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 15}, "sqlglot.expressions.Pivot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Window": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WindowSpec": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Where": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Parameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SessionParameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Placeholder": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Boolean": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataTypeSize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType.Type": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.DataType.Type.ARRAY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.CHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATETIME64": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DECIMAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DOUBLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.FLOAT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HSTORE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.IMAGE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT128": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT256": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INTERVAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSON": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSONB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MAP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULLABLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.OBJECT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.STRUCT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SUPER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TINYINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UBIGINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.USMALLINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UTINYINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UINT128": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UINT256": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UUID": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARBINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARIANT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.XML": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.build": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 157, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.PseudoType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SubqueryPredicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.All": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Any": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exists": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Command": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Transaction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Commit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Rollback": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AddConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DropPartition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Binary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Add": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Connector": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.And": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Or": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseAnd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseLeftShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseRightShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseXor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Div": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Overlaps": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Dot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Dot.build": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 12}, "sqlglot.expressions.DPipe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeNEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Distance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Escape": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Glob": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.IntDiv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Is": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Kwarg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 12}, "sqlglot.expressions.Like": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Mod": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Mul": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.SimilarTo": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Slice": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayOverlaps": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseNot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Not": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Neg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Aliases": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AtTimeZone": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Between": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Bracket": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.In": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeUnit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 10}, "sqlglot.expressions.TimeUnit.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Interval": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IgnoreNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RespectNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 128}, "sqlglot.expressions.Func.from_arg_list": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.default_parser_mappings": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.AggFunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ParameterizedAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Abs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Anonymous": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hll": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxDistinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Array": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ToChar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GenerateSeries": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAll": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ArrayContained": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayFilter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayJoin": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayUnionAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Avg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AnyValue": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Case": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Case.when": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 3}, "sqlglot.expressions.Case.else_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 3}, "sqlglot.expressions.Cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cast.output_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Cast.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.CastToStrType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Collate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TryCast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ceil": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Coalesce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Concat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ConcatWs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Count": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CountIf": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDatetime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTimestamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentUser": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DatetimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DayOfWeek": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WeekOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LastDateOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Extract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimestampAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateFromParts": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Day": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Decode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DiToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Encode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Explode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Floor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FromBase64": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ToBase64": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Greatest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GroupConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.If": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IfNull": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Initcap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONKeyValue": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONObject": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OpenJSONColumnDef": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OpenJSON": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.JSONExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONFormat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Least": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Length": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Levenshtein": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ln": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log10": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogicalOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogicalAnd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lower": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Map": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StarMap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VarMap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MatchAgainst": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Max": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MD5": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Min": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Month": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Nvl2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Posexplode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Pow": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.PercentileCont": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PercentileDisc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Quantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxQuantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RangeN": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReadCSV": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reduce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpLike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpSplit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Repeat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Round": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowNumber": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SafeDivide": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SHA": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SHA2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortArray": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Split": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Substring": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StandardHash": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrPosition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NumberToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Struct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StructExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sqrt": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Stddev": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevPop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevSamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Trim": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TsOrDsToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDiToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unhex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Upper": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Variance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VariancePop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Week": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.XMLTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Year": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Use": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Merge": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.When": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NextValueFor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.maybe_parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 270, "bases": 0, "doc": 231}, "sqlglot.expressions.union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 234}, "sqlglot.expressions.intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 234}, "sqlglot.expressions.except_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 235}, "sqlglot.expressions.select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 206}, "sqlglot.expressions.from_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 136, "bases": 0, "doc": 205}, "sqlglot.expressions.update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 234, "bases": 0, "doc": 263}, "sqlglot.expressions.delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 228, "bases": 0, "doc": 164}, "sqlglot.expressions.insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 259, "bases": 0, "doc": 197}, "sqlglot.expressions.condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 354}, "sqlglot.expressions.and_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 200}, "sqlglot.expressions.or_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 200}, "sqlglot.expressions.not_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 152}, "sqlglot.expressions.paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.expressions.to_identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 69}, "sqlglot.expressions.to_interval": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 16}, "sqlglot.expressions.to_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 101}, "sqlglot.expressions.to_column": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 62}, "sqlglot.expressions.alias_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 242, "bases": 0, "doc": 305}, "sqlglot.expressions.subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 197}, "sqlglot.expressions.column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 66}, "sqlglot.expressions.cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 108, "bases": 0, "doc": 122}, "sqlglot.expressions.table_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 69, "bases": 0, "doc": 58}, "sqlglot.expressions.values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 131, "bases": 0, "doc": 143}, "sqlglot.expressions.var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 168}, "sqlglot.expressions.rename_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 75, "bases": 0, "doc": 50}, "sqlglot.expressions.convert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 74}, "sqlglot.expressions.replace_children": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 18}, "sqlglot.expressions.column_table_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 129}, "sqlglot.expressions.table_name": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 152}, "sqlglot.expressions.replace_tables": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 176}, "sqlglot.expressions.replace_placeholders": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 25, "bases": 0, "doc": 249}, "sqlglot.expressions.expand": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 338}, "sqlglot.expressions.func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 272}, "sqlglot.expressions.true": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 8}, "sqlglot.expressions.false": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 8}, "sqlglot.expressions.null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 7}, "sqlglot.generator": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.generator.Generator": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 629}, "sqlglot.generator.Generator.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 372, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generate": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 76, "bases": 0, "doc": 55}, "sqlglot.generator.Generator.unsupported": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sep": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.seg": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pad_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.maybe_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 88, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.wrap": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.no_identify": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.normalize_func": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.indent": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uncache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.characterset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.column_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columnposition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columndef_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.create_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.clone_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.describe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.prepend_ctes": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablealias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hexstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bytestring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datatypesize_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datatype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.directory_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.delete_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.drop_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fetch_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.filter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.index_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.identifier_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.inputoutputformat_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.national_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.root_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.locate_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.property_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.likeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fallbackproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.journalproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.freespaceproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.checksumproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lockingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withdataproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.insert_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.introducer_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pseudotype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.onconflict_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.returning_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.table_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablesample_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pivot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tuple_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.update_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.values_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.var_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.into_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.from_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.group_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.having_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.join_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lambda_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 59, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lateral_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.limit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.offset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.setitem_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.set_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pragma_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lock_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.literal_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.loaddata_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.null_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.boolean_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.order_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cluster_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distribute_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sort_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ordered_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.matchrecognize_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.query_modifiers": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.after_having_modifiers": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.after_limit_modifiers": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.select_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.schema_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.star_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.parameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sessionparameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.placeholder_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.subquery_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.qualify_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unnest_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.where_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.window_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_by_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.windowspec_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withingroup_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.between_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bracket_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.all_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.any_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.exists_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.case_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.constraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nextvaluefor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.extract_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trim_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.concat_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.check_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.foreignkey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unique_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.if_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.matchagainst_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.jsonobject_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.openjson_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_unnest_op": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.interval_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.return_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.reference_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.anonymous_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.paren_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.not_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.alias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.aliases_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.attimezone_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.add_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.and_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.connector_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseand_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisenot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisexor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.currentdate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.collate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.command_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.comment_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergetreettl_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.transaction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.commit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rollback_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altercolumn_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.renametable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altertable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.droppartition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.addconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distinct_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ignorenulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.respectnulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intdiv_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dpipe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.div_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.overlaps_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distance_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.eq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.escape_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.glob_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ilike_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ilikeany_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.is_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.like_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.likeany_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.similarto_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mod_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mul_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeeq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeneq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.or_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.slice_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sub_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trycast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.use_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.binary": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.function_fallback_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.func": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_args": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.text_width": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_time": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 179, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.op_expressions": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.naked_property": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.set_operation": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tag_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.token_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.joinhint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.kwarg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.when_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.merge_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tochar_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.cached_generator": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 7}, "sqlglot.helper": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.helper.AutoName": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 25}, "sqlglot.helper.seq_get": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 27}, "sqlglot.helper.ensure_list": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.ensure_collection": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.csv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 55}, "sqlglot.helper.subclasses": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 84}, "sqlglot.helper.apply_index_offset": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 76, "bases": 0, "doc": 98}, "sqlglot.helper.camel_to_snake_case": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 16}, "sqlglot.helper.while_changing": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 58}, "sqlglot.helper.tsort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 53}, "sqlglot.helper.open_file": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 19}, "sqlglot.helper.csv_reader": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 53}, "sqlglot.helper.find_new_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 50}, "sqlglot.helper.object_to_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 12}, "sqlglot.helper.split_num_words": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 312}, "sqlglot.helper.is_iterable": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 132}, "sqlglot.helper.flatten": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 195}, "sqlglot.helper.dict_depth": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 194}, "sqlglot.helper.first": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 16}, "sqlglot.helper.should_identify": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 65}, "sqlglot.lineage": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.to_html": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.lineage.lineage": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 341, "bases": 0, "doc": 114}, "sqlglot.lineage.LineageHTML": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.lineage.LineageHTML.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 132, "bases": 0, "doc": 3}, "sqlglot.optimizer": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.annotate_types": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 42, "bases": 0, "doc": 331}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.canonicalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 62, "bases": 0, "doc": 59}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.coerce_type": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 166}, "sqlglot.optimizer.eliminate_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 195}, "sqlglot.optimizer.eliminate_joins.join_condition": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 46}, "sqlglot.optimizer.eliminate_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 278}, "sqlglot.optimizer.isolate_table_selects": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 172}, "sqlglot.optimizer.merge_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 276}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 64, "bases": 0, "doc": 188}, "sqlglot.optimizer.normalize.normalized": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 171}, "sqlglot.optimizer.normalize.distributive_law": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 39}, "sqlglot.optimizer.optimize_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 132}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.normalize": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.other_table_names": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer.optimize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 642, "bases": 0, "doc": 223}, "sqlglot.optimizer.pushdown_predicates": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 186}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 20}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 31}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 33, "bases": 0, "doc": 201}, "sqlglot.optimizer.qualify_columns": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 112, "bases": 0, "doc": 232}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_columns.Resolver": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 27}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 32, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 50}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"qualname": 4, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_tables": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 320}, "sqlglot.optimizer.scope": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 5}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.CTE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UNION": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 328}, "sqlglot.optimizer.scope.Scope.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.clear_cache": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.branch": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 12}, "sqlglot.optimizer.scope.Scope.walk": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.find": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 97}, "sqlglot.optimizer.scope.Scope.find_all": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 90}, "sqlglot.optimizer.scope.Scope.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 63}, "sqlglot.optimizer.scope.Scope.tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.ctes": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.derived_tables": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 43}, "sqlglot.optimizer.scope.Scope.udtfs": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.subqueries": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 44}, "sqlglot.optimizer.scope.Scope.columns": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 36}, "sqlglot.optimizer.scope.Scope.selected_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 69}, "sqlglot.optimizer.scope.Scope.cte_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.selects": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.external_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 35}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 22}, "sqlglot.optimizer.scope.Scope.join_hints": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 30}, "sqlglot.optimizer.scope.Scope.source_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 17, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.is_subquery": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.is_union": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_cte": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.scope.Scope.is_root": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_udtf": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.rename_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.add_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.remove_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.traverse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 28}, "sqlglot.optimizer.scope.Scope.ref_count": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 34}, "sqlglot.optimizer.scope.traverse_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 330}, "sqlglot.optimizer.scope.build_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 41}, "sqlglot.optimizer.scope.walk_in_scope": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 83}, "sqlglot.optimizer.simplify": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 138}, "sqlglot.optimizer.simplify.rewrite_between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 31}, "sqlglot.optimizer.simplify.simplify_not": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 25}, "sqlglot.optimizer.simplify.flatten": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 24}, "sqlglot.optimizer.simplify.simplify_connectors": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_compliments": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 19}, "sqlglot.optimizer.simplify.uniq_sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 23}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 58}, "sqlglot.optimizer.simplify.simplify_literals": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify_parens": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_where_true": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.always_true": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_complement": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_false": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_null": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.eval_boolean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_date": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_interval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.date_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.boolean_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 227}, "sqlglot.optimizer.unnest_subqueries.unnest": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.parser": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parser.parse_var_map": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.parser.parse_like": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.parser.binary_range_parser": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 93, "bases": 0, "doc": 3}, "sqlglot.parser.Parser": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 174}, "sqlglot.parser.Parser.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 87, "bases": 0, "doc": 70}, "sqlglot.parser.Parser.parse_into": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 159, "bases": 0, "doc": 111}, "sqlglot.parser.Parser.check_errors": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 16}, "sqlglot.parser.Parser.raise_error": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 57, "bases": 0, "doc": 22}, "sqlglot.parser.Parser.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 74}, "sqlglot.parser.Parser.validate_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 57}, "sqlglot.planner": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.planner.Step": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Step.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Step.add_dependency": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.planner.Step.to_s": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.planner.Scan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Scan.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Join.from_joins": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.planner.Aggregate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 83, "bases": 0, "doc": 3}, "sqlglot.planner.SetOperation.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.schema.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 8}, "sqlglot.schema.Schema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 187, "bases": 0, "doc": 83}, "sqlglot.schema.Schema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 79}, "sqlglot.schema.Schema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 79}, "sqlglot.schema.Schema.supported_table_args": {"qualname": 4, "fullname": 6, "annotation": 3, "default_value": 0, "signature": 0, "bases": 0, "doc": 16}, "sqlglot.schema.Schema.empty": {"qualname": 2, "fullname": 4, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.schema.AbstractMappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 87}, "sqlglot.schema.AbstractMappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 88, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 75, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 137}, "sqlglot.schema.MappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 128, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 187, "bases": 0, "doc": 83}, "sqlglot.schema.MappingSchema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 79}, "sqlglot.schema.MappingSchema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 79}, "sqlglot.schema.ensure_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.schema.ensure_column_mapping": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.schema.flatten_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 69, "bases": 0, "doc": 3}, "sqlglot.schema.nested_get": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 86}, "sqlglot.schema.nested_set": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 276}, "sqlglot.serde": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.serde.dump": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 12}, "sqlglot.serde.load": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 16}, "sqlglot.time": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.time.format_time": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 108}, "sqlglot.tokens": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.tokens.TokenType.L_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLUS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DCOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMICOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BACKSLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DPIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CARET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TILDA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LR_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LT_AT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AT_GT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOLLAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARAMETER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATIONAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DAMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_START": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_END": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SPACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BREAK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NUMBER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATABASE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SCHEMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIT_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HEX_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BYTE_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BOOLEAN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TINYINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UTINYINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USMALLINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UBIGINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT128": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UINT128": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT256": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UINT256": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FLOAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOUBLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DECIMAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NVARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARBINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSONB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATETIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATETIME64": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UUID": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOMETRY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HLLSKETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HSTORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SUPER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.XML": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLMONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWVERSION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IMAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARIANT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OBJECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALIAS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALWAYS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANTI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.APPLY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARRAY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASOF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BEGIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BETWEEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CASE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLLATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMAND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CONSTRAINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CREATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CROSS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CUBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_USER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DEFAULT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DELETE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESCRIBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTINCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DIV": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DROP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ELSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.END": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ESCAPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXCEPT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXECUTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXISTS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FALSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FILTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FINAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FIRST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FORMAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FROM": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FUNCTION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOBAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUP_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HAVING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INDEX": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INNER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INSERT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERSECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERVAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTO": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTRODUCER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IRLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ISNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JOIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.KEEP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LANGUAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LATERAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LEFT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOAD": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOCK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MAP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MERGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MOD": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATURAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOTNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OFFSET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDER_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDERED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDINALITY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OUTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVERLAPS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVERWRITE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PERCENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRAGMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROCEDURE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROPERTIES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUALIFY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUOTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RANGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RECURSIVE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REPLACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RETURNING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REFERENCES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RIGHT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLBACK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLUP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SELECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEPARATOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SETTINGS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SHOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SOME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRUCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEMPORARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TOP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.THEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TRUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNCACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNNEST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNPIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UPDATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VALUES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VIEW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VOLATILE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHERE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WINDOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 133, "bases": 0, "doc": 83}, "sqlglot.tokens.Token.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.var": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Tokenizer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.tokenize": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 16}, "sqlglot.transforms": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.transforms.unalias_group": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 146}, "sqlglot.transforms.eliminate_distinct_on": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 66}, "sqlglot.transforms.eliminate_qualify": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 111}, "sqlglot.transforms.remove_precision_parameterized_types": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 33}, "sqlglot.transforms.unnest_to_explode": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 16}, "sqlglot.transforms.explode_to_unnest": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 12}, "sqlglot.transforms.remove_target_from_merge": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 11}, "sqlglot.transforms.remove_within_group_for_percentiles": {"qualname": 5, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.transforms.add_recursive_cte_column_names": {"qualname": 5, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.transforms.preprocess": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 94, "bases": 0, "doc": 84}, "sqlglot.trie": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.trie.new_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 200}, "sqlglot.trie.in_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 299}}, "length": 1801, "save": true}, "index": {"qualname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 52, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}}, "df": 8}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 2}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 22}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 11, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 31}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 3}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 6}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}}, "df": 5}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 5}}}}}}}}, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 14, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 36, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}}, "df": 7}, "docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}}, "df": 5, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 274, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}}, "df": 10}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SettingsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}}, "df": 8, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 3}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StarMap": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.StabilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.StandardHash": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 10}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.should_identify": {"tf": 1}}, "df": 1}}}}, "a": {"2": {"docs": {"sqlglot.expressions.SHA2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.SHA": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 5}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 9, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}}, "df": 8}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}}, "df": 3}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 7}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}}, "df": 4}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 30, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}}, "df": 7}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 4}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 19, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 2, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 274}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.ToBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 8}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}}, "df": 10}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 2}}}}, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 5}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 70, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 3}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.CountIf": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 53, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 10}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}}, "df": 2}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.expressions.Expression.add_comments": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 12}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 15}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.generator.cached_generator": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 9, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CastToStrType": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 6, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 9}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 3}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.CurrentUser": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 33, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 5}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 71, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 3}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DAMP": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 7}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}}, "df": 11, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 22}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}}, "df": 6}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 5}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 9}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 25, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 7, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}}, "df": 1, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayOverlaps": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ArrayContained": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ArrayJoin": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 11, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}}, "df": 5}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 7}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}}, "df": 13, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}}, "df": 10}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}}, "df": 4}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 13, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.FromBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 3}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}}, "df": 307}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 8}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 15, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 4}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}}, "df": 2}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONFormat": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 12}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}}, "df": 2}}}}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 46, "s": {"docs": {"sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 4}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 9}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}, "s": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 2}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 5}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 6}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 8}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 4}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 9}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 4}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 3, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 9}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 7, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.LogicalAnd": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}}, "df": 9}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 6}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Hll": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 3}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 5}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}}, "df": 6}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2}}, "d": {"5": {"docs": {"sqlglot.expressions.MD5": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 7}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 13}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 6}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 3}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 4, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 4}}}}, "q": {"docs": {"sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 4}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 2, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatileProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}}, "df": 3}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 8}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}}}, "fullname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 52, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 379, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SettingsProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.StabilityProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatileProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Hll": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayContained": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.CastToStrType": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CountIf": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.CurrentUser": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.FromBase64": {"tf": 1}, "sqlglot.expressions.ToBase64": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONFormat": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.LogicalAnd": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.StarMap": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.MD5": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SHA": {"tf": 1}, "sqlglot.expressions.SHA2": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StandardHash": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 1801, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.4142135623730951}}, "df": 11}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.empty": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 28, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 44, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1.4142135623730951}}, "df": 8}, "docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1.4142135623730951}}, "df": 6, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SettingsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 4, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}}, "df": 8, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 3}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 11}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 5}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StarMap": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.StabilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.StandardHash": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}}, "df": 11}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.should_identify": {"tf": 1}}, "df": 1}}}}, "a": {"2": {"docs": {"sqlglot.expressions.SHA2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.SHA": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 21}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1.4142135623730951}}, "df": 9}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 8}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 22}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 11, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.reset": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}}, "df": 34}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 3}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 6}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 16}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}}, "df": 6}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 21, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 10}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 9, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.4142135623730951}}, "df": 9}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}}, "df": 3}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 128}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 7}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 11}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 5}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 3}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.append": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.pop": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 40, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}}, "df": 8}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 4}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 19, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 2, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 284}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 274}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.ToBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.4142135623730951}}, "df": 10}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1.4142135623730951}}, "df": 11}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}}, "df": 10, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 2}}}}, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 5}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 70, "s": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 6}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 111, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 6}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 71, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 3}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DAMP": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 7}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}}, "df": 68, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 218}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}}, "df": 15}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.4142135623730951}}, "df": 7}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 5}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 3}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.CountIf": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 53, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 14}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}}, "df": 2}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.expressions.Expression.add_comments": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.filter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.sort": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_row": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_index": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 13}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 15}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.generator.cached_generator": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 9, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CastToStrType": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 6, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}}, "df": 6}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 10}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 3}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.CurrentUser": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 9}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 25, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}}, "df": 2, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 7, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.4142135623730951}}, "df": 5}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}}, "df": 1, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayOverlaps": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ArrayContained": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ArrayJoin": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 11, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}}, "df": 5}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 7}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}}, "df": 13, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}}, "df": 10}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}}, "df": 4}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 13, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.FromBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 3}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unsupported": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.column_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.create_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.clone_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.index_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.national_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.property_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.returning_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.var_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.into_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.from_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.group_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.having_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.set_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.null_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.star_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.where_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.between_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.all_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.any_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.case_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.check_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.if_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.return_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.not_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.add_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.and_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.command_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.comment_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.div_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.is_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.like_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.or_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.use_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.token_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.when_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.cached_generator": {"tf": 1.4142135623730951}}, "df": 308}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 8}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 15, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 9}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}}, "df": 2}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONFormat": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 14}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}}, "df": 2}}}}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 46, "s": {"docs": {"sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SettingsProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.StabilityProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatileProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Hll": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayContained": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.CastToStrType": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CountIf": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.CurrentUser": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.FromBase64": {"tf": 1}, "sqlglot.expressions.ToBase64": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONFormat": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.LogicalAnd": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.StarMap": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.MD5": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SHA": {"tf": 1}, "sqlglot.expressions.SHA2": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StandardHash": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 631}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 59}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 9}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {"sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 10}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 18}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 5}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 10}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 9}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 4}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 9}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 4}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 3, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 9}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 7, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 8, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.LogicalAnd": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1.4142135623730951}}, "df": 10}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 6}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 21}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Hll": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 9, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 3}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 5}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.4142135623730951}}, "df": 7}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2}}, "d": {"5": {"docs": {"sqlglot.expressions.MD5": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 7}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 14}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 6}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 3}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 8, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 4}}}}, "q": {"docs": {"sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 4}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 2, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatileProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}}, "df": 3}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 15}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}}}, "annotation": {"root": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 13, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 8}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 2}}}}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}}}}, "default_value": {"root": {"1": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}}, "df": 1}, "6": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 376, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 376, "e": {"docs": {"sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 8}}}}}, "k": {"docs": {"sqlglot.tokens.TokenType.LOCK": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.LOAD": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 1}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 6}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}}, "df": 4}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}}, "df": 2, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {"sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}}, "df": 1}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 376, "e": {"docs": {"sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 21}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "v": {"docs": {"sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DAMP": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 369}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.4142135623730951}}, "df": 3}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}}, "df": 2}}}}, "y": {"docs": {"sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}}, "df": 5}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}}, "df": 2}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}}, "df": 2}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}}, "df": 1}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}}, "df": 1, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 3, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 64}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 273}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}}, "df": 1}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4}}}}}}}}}, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "q": {"docs": {"sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.INT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.INT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}}, "df": 2}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}}, "df": 1}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}}, "df": 2}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}}, "df": 1}}, "y": {"docs": {"sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 3}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}}, "df": 1}}, "t": {"docs": {"sqlglot.tokens.TokenType.LT_AT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.4142135623730951}}, "df": 2}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}}, "df": 1}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.UINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {"sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}}, "df": 2, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}}, "df": 1, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 2}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.KEEP": {"tf": 1.4142135623730951}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "signature": {"root": {"0": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 6, "x": {"7": {"docs": {}, "df": 0, "f": {"0": {"7": {"docs": {}, "df": 0, "e": {"2": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "b": {"8": {"7": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "f": {"7": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "a": {"6": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "9": {"0": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "b": {"4": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0, "a": {"1": {"7": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "c": {"5": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "f": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "docs": {}, "df": 0}}}, "3": {"0": {"6": {"docs": {}, "df": 0, "f": {"5": {"docs": {}, "df": 0, "b": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "6": {"4": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}}, "docs": {}, "df": 0, "c": {"7": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "d": {"0": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "6": {"docs": {}, "df": 0, "c": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "9": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "1": {"0": {"0": {"docs": {"sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"8": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"9": {"6": {"7": {"1": {"8": {"2": {"3": {"6": {"2": {"9": {"3": {"2": {"8": {"docs": {"sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"9": {"4": {"8": {"6": {"4": {"docs": {"sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"6": {"0": {"7": {"4": {"7": {"2": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"7": {"8": {"4": {"0": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"4": {"2": {"0": {"8": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"2": {"3": {"5": {"5": {"2": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"2": {"8": {"6": {"7": {"2": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"8": {"8": {"0": {"0": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"4": {"9": {"1": {"2": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"2": {"3": {"8": {"1": {"9": {"2": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"2": {"5": {"2": {"4": {"8": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"3": {"3": {"4": {"4": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"2": {"1": {"0": {"5": {"6": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"7": {"9": {"3": {"6": {"docs": {"sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"3": {"7": {"8": {"0": {"8": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"9": {"0": {"4": {"1": {"6": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"0": {"1": {"5": {"6": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"4": {"4": {"6": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"1": {"6": {"0": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"6": {"9": {"0": {"9": {"7": {"6": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"5": {"0": {"6": {"1": {"4": {"4": {"docs": {"sqlglot.dataframe.sql.Column.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"0": {"5": {"3": {"0": {"3": {"6": {"8": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"7": {"6": {"4": {"4": {"0": {"0": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"0": {"9": {"8": {"4": {"6": {"0": {"8": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"9": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 2}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 2}, "sqlglot.dataframe.sql.Column.between": {"tf": 2}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 2}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 2}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 2}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 2}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 42}, "docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}, "6": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "8": {"0": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot.parse": {"tf": 10.099504938362077}, "sqlglot.parse_one": {"tf": 12.727922061357855}, "sqlglot.transpile": {"tf": 14}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 6}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 12.806248474865697}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 14.2828568570857}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 6.4031242374328485}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 12.041594578792296}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 7.14142842854285}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 10}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 13.19090595827292}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 5.0990195135927845}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 8.12403840463596}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 8}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 9.327379053088816}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 6.782329983125268}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 9.16515138991168}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 8.602325267042627}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 7.0710678118654755}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 7.54983443527075}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 8.831760866327848}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 9.797958971132712}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 8.54400374531753}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.Column.copy": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.alias": {"tf": 6}, "sqlglot.dataframe.sql.Column.asc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.when": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 6}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.cast": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 6}, "sqlglot.dataframe.sql.Column.like": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.substr": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.Column.isin": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.between": {"tf": 8.660254037844387}, "sqlglot.dataframe.sql.Column.over": {"tf": 7.211102550927978}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 10.908712114635714}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 12.083045973594572}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 5.744562646538029}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 6}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 10}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 4.795831523312719}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 6.557438524302}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 7.615773105863909}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 7.745966692414834}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 3.7416573867739413}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 9.273618495495704}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 7.615773105863909}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 10.099504938362077}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 5.5677643628300215}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 5.744562646538029}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.rename_func": {"tf": 6.928203230275509}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.if_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 8.48528137423857}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 8.660254037844387}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 8}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 6.164414002968976}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 6.164414002968976}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 4.898979485566356}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.min_or_least": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.trim_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 4}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 9.539392014169456}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 7.615773105863909}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 6.6332495807108}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 3.7416573867739413}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 5.291502622129181}, "sqlglot.diff.Insert.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Remove.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Move.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Update.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.Keep.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.diff": {"tf": 12.96148139681572}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 5.656854249492381}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 12.727922061357855}, "sqlglot.errors.ParseError.__init__": {"tf": 6.48074069840786}, "sqlglot.errors.ParseError.new": {"tf": 13.038404810405298}, "sqlglot.errors.concat_messages": {"tf": 5.385164807134504}, "sqlglot.errors.merge_errors": {"tf": 6.48074069840786}, "sqlglot.executor.execute": {"tf": 12.727922061357855}, "sqlglot.executor.context.Context.__init__": {"tf": 7.416198487095663}, "sqlglot.executor.context.Context.eval": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.context.Context.table_iter": {"tf": 7.681145747868608}, "sqlglot.executor.context.Context.filter": {"tf": 4}, "sqlglot.executor.context.Context.sort": {"tf": 4}, "sqlglot.executor.context.Context.set_row": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_index": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_range": {"tf": 5.291502622129181}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.env.filter_nulls": {"tf": 4.242640687119285}, "sqlglot.executor.env.null_if_any": {"tf": 3.4641016151377544}, "sqlglot.executor.env.str_position": {"tf": 4.69041575982343}, "sqlglot.executor.env.substring": {"tf": 5.0990195135927845}, "sqlglot.executor.env.cast": {"tf": 3.7416573867739413}, "sqlglot.executor.env.ordered": {"tf": 4.242640687119285}, "sqlglot.executor.env.interval": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 4.47213595499958}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 3.1622776601683795}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 4.795831523312719}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 4.69041575982343}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 4.242640687119285}, "sqlglot.executor.table.Table.__init__": {"tf": 4.898979485566356}, "sqlglot.executor.table.Table.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.table.Table.append": {"tf": 3.7416573867739413}, "sqlglot.executor.table.Table.pop": {"tf": 3.1622776601683795}, "sqlglot.executor.table.TableIter.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RowReader.__init__": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 5.744562646538029}, "sqlglot.expressions.Expression.__init__": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.text": {"tf": 4}, "sqlglot.expressions.Expression.copy": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.add_comments": {"tf": 5.291502622129181}, "sqlglot.expressions.Expression.append": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.set": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 5.744562646538029}, "sqlglot.expressions.Expression.find": {"tf": 6.6332495807108}, "sqlglot.expressions.Expression.find_all": {"tf": 6.6332495807108}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 6}, "sqlglot.expressions.Expression.root": {"tf": 4.47213595499958}, "sqlglot.expressions.Expression.walk": {"tf": 5.0990195135927845}, "sqlglot.expressions.Expression.dfs": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.bfs": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.flatten": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.sql": {"tf": 9.055385138137417}, "sqlglot.expressions.Expression.transform": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.replace": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.pop": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.assert_is": {"tf": 3.872983346207417}, "sqlglot.expressions.Expression.error_messages": {"tf": 6}, "sqlglot.expressions.Expression.dump": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.load": {"tf": 3.7416573867739413}, "sqlglot.expressions.Condition.and_": {"tf": 6.164414002968976}, "sqlglot.expressions.Condition.or_": {"tf": 6.164414002968976}, "sqlglot.expressions.Condition.not_": {"tf": 4.242640687119285}, "sqlglot.expressions.Condition.as_": {"tf": 12.12435565298214}, "sqlglot.expressions.Condition.isin": {"tf": 9.273618495495704}, "sqlglot.expressions.Condition.between": {"tf": 7.416198487095663}, "sqlglot.expressions.Condition.is_": {"tf": 6.928203230275509}, "sqlglot.expressions.Condition.like": {"tf": 6.928203230275509}, "sqlglot.expressions.Condition.ilike": {"tf": 6.928203230275509}, "sqlglot.expressions.Condition.eq": {"tf": 5.291502622129181}, "sqlglot.expressions.Condition.neq": {"tf": 5.291502622129181}, "sqlglot.expressions.Condition.rlike": {"tf": 6.928203230275509}, "sqlglot.expressions.Unionable.union": {"tf": 6}, "sqlglot.expressions.Unionable.intersect": {"tf": 6}, "sqlglot.expressions.Unionable.except_": {"tf": 6}, "sqlglot.expressions.Column.to_dot": {"tf": 4.47213595499958}, "sqlglot.expressions.Delete.delete": {"tf": 11.489125293076057}, "sqlglot.expressions.Delete.where": {"tf": 12.206555615733702}, "sqlglot.expressions.Delete.returning": {"tf": 11.489125293076057}, "sqlglot.expressions.Insert.with_": {"tf": 13.96424004376894}, "sqlglot.expressions.Literal.number": {"tf": 4.898979485566356}, "sqlglot.expressions.Literal.string": {"tf": 4.898979485566356}, "sqlglot.expressions.Join.on": {"tf": 6.782329983125268}, "sqlglot.expressions.Join.using": {"tf": 6.782329983125268}, "sqlglot.expressions.Properties.from_dict": {"tf": 4.898979485566356}, "sqlglot.expressions.Tuple.isin": {"tf": 9.273618495495704}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 6}, "sqlglot.expressions.Subqueryable.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Subqueryable.with_": {"tf": 13.96424004376894}, "sqlglot.expressions.Union.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Union.select": {"tf": 12.206555615733702}, "sqlglot.expressions.Select.from_": {"tf": 11.489125293076057}, "sqlglot.expressions.Select.group_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.order_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.sort_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.cluster_by": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.limit": {"tf": 7.14142842854285}, "sqlglot.expressions.Select.offset": {"tf": 7.14142842854285}, "sqlglot.expressions.Select.select": {"tf": 12.206555615733702}, "sqlglot.expressions.Select.lateral": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.join": {"tf": 9.797958971132712}, "sqlglot.expressions.Select.where": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.having": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.window": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.qualify": {"tf": 7.874007874011811}, "sqlglot.expressions.Select.distinct": {"tf": 8.94427190999916}, "sqlglot.expressions.Select.ctas": {"tf": 7.745966692414834}, "sqlglot.expressions.Select.lock": {"tf": 7.14142842854285}, "sqlglot.expressions.Subquery.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.DataType.build": {"tf": 11.357816691600547}, "sqlglot.expressions.DataType.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.Dot.build": {"tf": 6.557438524302}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.from_arg_list": {"tf": 3.7416573867739413}, "sqlglot.expressions.Func.sql_names": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.sql_name": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 3.1622776601683795}, "sqlglot.expressions.Case.when": {"tf": 9.848857801796104}, "sqlglot.expressions.Case.else_": {"tf": 8.366600265340756}, "sqlglot.expressions.Cast.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.maybe_parse": {"tf": 14.866068747318506}, "sqlglot.expressions.union": {"tf": 6}, "sqlglot.expressions.intersect": {"tf": 6}, "sqlglot.expressions.except_": {"tf": 6}, "sqlglot.expressions.select": {"tf": 10.677078252031311}, "sqlglot.expressions.from_": {"tf": 10.583005244258363}, "sqlglot.expressions.update": {"tf": 13.892443989449804}, "sqlglot.expressions.delete": {"tf": 13.711309200802088}, "sqlglot.expressions.insert": {"tf": 14.594519519326424}, "sqlglot.expressions.condition": {"tf": 6.782329983125268}, "sqlglot.expressions.and_": {"tf": 6.6332495807108}, "sqlglot.expressions.or_": {"tf": 6.6332495807108}, "sqlglot.expressions.not_": {"tf": 6.48074069840786}, "sqlglot.expressions.paren": {"tf": 5.291502622129181}, "sqlglot.expressions.to_identifier": {"tf": 5.0990195135927845}, "sqlglot.expressions.to_interval": {"tf": 6.164414002968976}, "sqlglot.expressions.to_table": {"tf": 11.045361017187261}, "sqlglot.expressions.to_column": {"tf": 6.708203932499369}, "sqlglot.expressions.alias_": {"tf": 14.142135623730951}, "sqlglot.expressions.subquery": {"tf": 5.656854249492381}, "sqlglot.expressions.column": {"tf": 13.114877048604}, "sqlglot.expressions.cast": {"tf": 9.433981132056603}, "sqlglot.expressions.table_": {"tf": 7.54983443527075}, "sqlglot.expressions.values": {"tf": 10.44030650891055}, "sqlglot.expressions.var": {"tf": 6.928203230275509}, "sqlglot.expressions.rename_table": {"tf": 7.745966692414834}, "sqlglot.expressions.convert": {"tf": 6.164414002968976}, "sqlglot.expressions.replace_children": {"tf": 5.0990195135927845}, "sqlglot.expressions.column_table_names": {"tf": 3.1622776601683795}, "sqlglot.expressions.table_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.replace_tables": {"tf": 3.7416573867739413}, "sqlglot.expressions.replace_placeholders": {"tf": 4.69041575982343}, "sqlglot.expressions.expand": {"tf": 8.660254037844387}, "sqlglot.expressions.func": {"tf": 10.04987562112089}, "sqlglot.expressions.true": {"tf": 2.6457513110645907}, "sqlglot.expressions.false": {"tf": 2.6457513110645907}, "sqlglot.expressions.null": {"tf": 2.6457513110645907}, "sqlglot.generator.Generator.__init__": {"tf": 16.73320053068151}, "sqlglot.generator.Generator.generate": {"tf": 7.937253933193772}, "sqlglot.generator.Generator.unsupported": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.sep": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.seg": {"tf": 6}, "sqlglot.generator.Generator.pad_comment": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.maybe_comment": {"tf": 8.54400374531753}, "sqlglot.generator.Generator.wrap": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.no_identify": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.indent": {"tf": 9.327379053088816}, "sqlglot.generator.Generator.sql": {"tf": 8.94427190999916}, "sqlglot.generator.Generator.uncache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.characterset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.column_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columndef_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.create_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.clone_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 6}, "sqlglot.generator.Generator.with_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.directory_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.delete_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.drop_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fetch_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.filter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.index_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.identifier_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.national_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.partition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.root_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties": {"tf": 9.797958971132712}, "sqlglot.generator.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.locate_properties": {"tf": 7.937253933193772}, "sqlglot.generator.Generator.property_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.insert_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.introducer_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.returning_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.table_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 7.615773105863909}, "sqlglot.generator.Generator.pivot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tuple_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.var_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.into_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.from_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.group_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.having_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.join_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lambda_sql": {"tf": 6.855654600401044}, "sqlglot.generator.Generator.lateral_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.limit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.setitem_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.set_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pragma_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lock_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.literal_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.null_sql": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.boolean_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.order_sql": {"tf": 6.48074069840786}, "sqlglot.generator.Generator.cluster_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distribute_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sort_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ordered_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.query_modifiers": {"tf": 6.164414002968976}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 3.7416573867739413}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 3.7416573867739413}, "sqlglot.generator.Generator.select_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.schema_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.star_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.parameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.subquery_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.qualify_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unnest_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.where_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.window_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 6.557438524302}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.between_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bracket_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.all_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.any_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.exists_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.case_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.constraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.extract_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trim_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.concat_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.check_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unique_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.if_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.openjson_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.interval_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.return_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.reference_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.paren_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.not_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.alias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.aliases_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.add_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.and_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.connector_sql": {"tf": 6}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.collate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.command_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.comment_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.transaction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.commit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rollback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.renametable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altertable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distinct_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.div_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distance_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.eq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.escape_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.glob_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ilike_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.is_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.like_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.likeany_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.similarto_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mul_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.or_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.slice_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sub_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trycast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.use_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.binary": {"tf": 6}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.func": {"tf": 7.483314773547883}, "sqlglot.generator.Generator.format_args": {"tf": 6.708203932499369}, "sqlglot.generator.Generator.text_width": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.format_time": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.expressions": {"tf": 12.165525060596439}, "sqlglot.generator.Generator.op_expressions": {"tf": 7.3484692283495345}, "sqlglot.generator.Generator.naked_property": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.set_operation": {"tf": 6}, "sqlglot.generator.Generator.tag_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.token_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.when_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.merge_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tochar_sql": {"tf": 5.291502622129181}, "sqlglot.generator.cached_generator": {"tf": 7.3484692283495345}, "sqlglot.helper.seq_get": {"tf": 6.164414002968976}, "sqlglot.helper.ensure_list": {"tf": 3.1622776601683795}, "sqlglot.helper.ensure_collection": {"tf": 3.1622776601683795}, "sqlglot.helper.csv": {"tf": 5.477225575051661}, "sqlglot.helper.subclasses": {"tf": 9.38083151964686}, "sqlglot.helper.apply_index_offset": {"tf": 7.937253933193772}, "sqlglot.helper.camel_to_snake_case": {"tf": 4}, "sqlglot.helper.while_changing": {"tf": 7.483314773547883}, "sqlglot.helper.tsort": {"tf": 6.324555320336759}, "sqlglot.helper.open_file": {"tf": 3.872983346207417}, "sqlglot.helper.csv_reader": {"tf": 4.898979485566356}, "sqlglot.helper.find_new_name": {"tf": 5.385164807134504}, "sqlglot.helper.object_to_dict": {"tf": 4.69041575982343}, "sqlglot.helper.split_num_words": {"tf": 7.615773105863909}, "sqlglot.helper.is_iterable": {"tf": 4}, "sqlglot.helper.flatten": {"tf": 6.082762530298219}, "sqlglot.helper.dict_depth": {"tf": 4}, "sqlglot.helper.first": {"tf": 5}, "sqlglot.helper.should_identify": {"tf": 5.385164807134504}, "sqlglot.lineage.Node.__init__": {"tf": 9.899494936611665}, "sqlglot.lineage.Node.walk": {"tf": 5}, "sqlglot.lineage.Node.to_html": {"tf": 5.0990195135927845}, "sqlglot.lineage.lineage": {"tf": 16.522711641858304}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 10.44030650891055}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 5.830951894845301}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 5.291502622129181}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 3.7416573867739413}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 7.0710678118654755}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 5.744562646538029}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 5.744562646538029}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 4.242640687119285}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3.1622776601683795}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalize": {"tf": 7.280109889280518}, "sqlglot.optimizer.normalize.normalized": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 4.69041575982343}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 3.7416573867739413}, "sqlglot.optimizer.optimizer.optimize": {"tf": 22.02271554554524}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.1622776601683795}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 3.7416573867739413}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 5.0990195135927845}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 9.486832980505138}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 3.1622776601683795}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 5.0990195135927845}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 5.744562646538029}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 4.69041575982343}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 5.830951894845301}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 8.06225774829855}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.find": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.build_scope": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 5.744562646538029}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.flatten": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 4.69041575982343}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.always_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.is_complement": {"tf": 3.7416573867739413}, "sqlglot.optimizer.simplify.is_false": {"tf": 4.898979485566356}, "sqlglot.optimizer.simplify.is_null": {"tf": 4.898979485566356}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.extract_date": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.date_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 4.69041575982343}, "sqlglot.parser.parse_var_map": {"tf": 4.898979485566356}, "sqlglot.parser.parse_like": {"tf": 3.1622776601683795}, "sqlglot.parser.binary_range_parser": {"tf": 8.660254037844387}, "sqlglot.parser.Parser.__init__": {"tf": 11.269427669584644}, "sqlglot.parser.Parser.reset": {"tf": 3.1622776601683795}, "sqlglot.parser.Parser.parse": {"tf": 8.426149773176359}, "sqlglot.parser.Parser.parse_into": {"tf": 11.313708498984761}, "sqlglot.parser.Parser.check_errors": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser.raise_error": {"tf": 6.855654600401044}, "sqlglot.parser.Parser.expression": {"tf": 7.810249675906654}, "sqlglot.parser.Parser.validate_expression": {"tf": 7.0710678118654755}, "sqlglot.planner.Plan.__init__": {"tf": 4.47213595499958}, "sqlglot.planner.Step.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Step.add_dependency": {"tf": 5.291502622129181}, "sqlglot.planner.Step.to_s": {"tf": 5.0990195135927845}, "sqlglot.planner.Scan.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Join.from_joins": {"tf": 8.888194417315589}, "sqlglot.planner.SetOperation.__init__": {"tf": 8.306623862918075}, "sqlglot.planner.SetOperation.from_expression": {"tf": 8.602325267042627}, "sqlglot.schema.Schema.add_table": {"tf": 12.36931687685298}, "sqlglot.schema.Schema.column_names": {"tf": 10.816653826391969}, "sqlglot.schema.Schema.get_column_type": {"tf": 11.045361017187261}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 4.795831523312719}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 5.744562646538029}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 8.48528137423857}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 7.810249675906654}, "sqlglot.schema.MappingSchema.__init__": {"tf": 10.295630140987}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 6.164414002968976}, "sqlglot.schema.MappingSchema.copy": {"tf": 5.0990195135927845}, "sqlglot.schema.MappingSchema.add_table": {"tf": 12.36931687685298}, "sqlglot.schema.MappingSchema.column_names": {"tf": 10.816653826391969}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 11.045361017187261}, "sqlglot.schema.ensure_schema": {"tf": 9.327379053088816}, "sqlglot.schema.ensure_column_mapping": {"tf": 7.615773105863909}, "sqlglot.schema.flatten_schema": {"tf": 7.54983443527075}, "sqlglot.schema.nested_get": {"tf": 7.615773105863909}, "sqlglot.schema.nested_set": {"tf": 6.082762530298219}, "sqlglot.serde.dump": {"tf": 11.045361017187261}, "sqlglot.serde.load": {"tf": 11.045361017187261}, "sqlglot.time.format_time": {"tf": 7.810249675906654}, "sqlglot.tokens.Token.__init__": {"tf": 10.535653752852738}, "sqlglot.tokens.Token.number": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.string": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.identifier": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.var": {"tf": 5.291502622129181}, "sqlglot.tokens.Tokenizer.reset": {"tf": 3.4641016151377544}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 5.744562646538029}, "sqlglot.transforms.unalias_group": {"tf": 5.744562646538029}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.744562646538029}, "sqlglot.transforms.eliminate_qualify": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 5.744562646538029}, "sqlglot.transforms.unnest_to_explode": {"tf": 5.744562646538029}, "sqlglot.transforms.explode_to_unnest": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_target_from_merge": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 5.744562646538029}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 5.744562646538029}, "sqlglot.transforms.preprocess": {"tf": 8.774964387392123}, "sqlglot.trie.new_trie": {"tf": 6.708203932499369}, "sqlglot.trie.in_trie": {"tf": 6.244997998398398}}, "df": 772, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 108, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1.7320508075688772}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 3}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 3}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 2.23606797749979}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.as_": {"tf": 2}, "sqlglot.expressions.Condition.isin": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.like": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.ilike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 2}, "sqlglot.expressions.Delete.where": {"tf": 2}, "sqlglot.expressions.Delete.returning": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.when": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.else_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.449489742783178}, "sqlglot.expressions.delete": {"tf": 2.449489742783178}, "sqlglot.expressions.insert": {"tf": 2.449489742783178}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 2}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 2.23606797749979}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 2}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.add_table": {"tf": 2}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1.4142135623730951}, "sqlglot.transforms.explode_to_unnest": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.4142135623730951}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 545}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 2.449489742783178}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.when": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 2}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 2}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 461, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 3}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 4}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.star_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 10, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 12}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 542}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.4142135623730951}}, "df": 24, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 23}}}}}}, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}}, "df": 2}}, "p": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 13}, "t": {"docs": {"sqlglot.generator.Generator.set_sql": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.generator.Generator.setitem_sql": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 17}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 7}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.sort_sql": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 5, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Condition.rlike": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}}, "df": 2}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.rollback_sql": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 94}}, "t": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 2}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.unique_sql": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 7}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.uncache_sql": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.generator.Generator.use_sql": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 2.6457513110645907}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 2.23606797749979}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.expressions.Expression.sql": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.where": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.returning": {"tf": 2.23606797749979}, "sqlglot.expressions.Insert.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.insert": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 2.23606797749979}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.column_names": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.__init__": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.column_names": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.ensure_schema": {"tf": 2.23606797749979}}, "df": 70, "s": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_schema": {"tf": 1.4142135623730951}}, "df": 37}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 9}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 3}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2.23606797749979}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {"sqlglot.generator.Generator.div_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 89, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 14, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}}, "df": 1}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {"sqlglot.optimizer.simplify.date_literal": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}}, "df": 5}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}}, "df": 3}, "w": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}}, "df": 3}}}}, "b": {"docs": {"sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 4}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.drop_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.dpipe_sql": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 4}}}, "t": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.helper.first": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 5, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 60, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 11}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 81}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 3}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 27, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 4}}}}, "g": {"docs": {"sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 1}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 15}}}}, "h": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 6}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Case.when": {"tf": 1}}, "df": 1}}}, "o": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 6, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 11, "s": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 11}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 4}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 2}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 146, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 59}}}}}}, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 26}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.national_sql": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 4}, "q": {"docs": {"sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}}, "df": 2}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 64}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 72}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.openjson_sql": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}}, "df": 17}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.expressions.Select.distinct": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.onconflict_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.overlaps_sql": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 6}}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {"sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "r": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.ordered_sql": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 58}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 5, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.likeany_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.limit_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}}, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 26, "e": {"docs": {"sqlglot.generator.Generator.lte_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.expressions.Condition.between": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {"sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}}, "df": 10, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot.parser.binary_range_parser": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Plan.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 1.7320508075688772}, "sqlglot.transforms.explode_to_unnest": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.7320508075688772}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 440, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.like": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.ilike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.when": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.else_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 2.23606797749979}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1.4142135623730951}, "sqlglot.transforms.explode_to_unnest": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.4142135623730951}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 438}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.generator.Generator.exists_sql": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}}, "df": 4}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 4}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.extract_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 6}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 3}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 8}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}}, "df": 2}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}}, "df": 3, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 2}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 35, "o": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}}, "df": 4}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 4}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.introducer_sql": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}}, "df": 5}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 7}}}, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}}, "df": 5}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}}, "df": 3}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 4, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.collate_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 18}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.when": {"tf": 2}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.substr": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 50, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 9}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.columnposition_sql": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 10}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.constraint_sql": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.concat_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 50}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 5}}}}, "a": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.command_sql": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.commit_sql": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 30}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 5, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.clone_sql": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 16}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}}, "df": 5}, "e": {"docs": {"sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 4}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}}, "df": 3}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.check_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 12, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}}, "df": 9}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.generator.Generator.when_sql": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 55, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.boolean_sql": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bracket_sql": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.bytestring_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.binary": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19}}}}}}}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 2}}}}}}}}}}}, "x": {"docs": {"sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 2}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 27, "e": {"docs": {"sqlglot.generator.Generator.gte_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 29}}, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.glob_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 7}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 23}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}}, "df": 2, "s": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.filter_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.fetch_sql": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 4}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 4}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.parameter_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}}, "df": 2}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.partition_sql": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 4}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}}, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}}, "df": 12}}}, "y": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 5}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.pragma_sql": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.hint_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Condition.between": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.having_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 32}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 2}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}}, "df": 6, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 29}, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.all_sql": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 14, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.aliases_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 20}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}}, "df": 17}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.add_sql": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 7, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.helper.open_file": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}}, "df": 5}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 3}}}}}}}}}, "bases": {"root": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 85, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 6}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}}, "df": 4}, "docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}}, "df": 5}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}}, "df": 15, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}}, "df": 36}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 14}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 18}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 17}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}}, "df": 19}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}}, "df": 18}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SettingsProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.StabilityProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatileProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 44}}}}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "~": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayContained": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}}, "df": 41}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.4142135623730951}}, "df": 3}}}, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}}, "df": 104}}}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.spark2.Spark2": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}, "m": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {"sqlglot.schema.Schema": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.ParameterizedAgg": {"tf": 1}, "sqlglot.expressions.Hll": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CountIf": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.LogicalAnd": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 23}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 12}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 19}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TryCast": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}}, "df": 4}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}}, "df": 3}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.CastToStrType": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.CurrentUser": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.FromBase64": {"tf": 1}, "sqlglot.expressions.ToBase64": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONFormat": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.StarMap": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.expressions.MD5": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SHA": {"tf": 1}, "sqlglot.expressions.SHA2": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StandardHash": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.NextValueFor": {"tf": 1}}, "df": 134}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 3}}}}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}, "doc": {"root": {"0": {"0": {"0": {"9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"4": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"2": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "5": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"5": {"4": {"5": {"5": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"0": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}, "2": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"2": {"8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"1": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"4": {"1": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"5": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"6": {"7": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "5": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 6.928203230275509}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 41, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "1": {"0": {"0": {"0": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}}, "df": 4, "^": {"1": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "1": {"4": {"5": {"docs": {}, "df": 0, "/": {"2": {"6": {"4": {"2": {"9": {"3": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "2": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "6": {"3": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "4": {"1": {"3": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"1": {"8": {"0": {"8": {"8": {"0": {"2": {"8": {"2": {"9": {"5": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "9": {"8": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 6}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}}, "2": {"0": {"0": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "4": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "5": {"1": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"4": {"2": {"9": {"8": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 2}, "9": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 46}, "3": {"1": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}, "7": {"7": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 6.855654600401044}, "sqlglot.dataframe": {"tf": 7.0710678118654755}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 4}, "sqlglot.expressions.subquery": {"tf": 2.8284271247461903}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.var": {"tf": 3.1622776601683795}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 4}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 3.7416573867739413}, "sqlglot.trie.in_trie": {"tf": 2.8284271247461903}}, "df": 88}, "docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 52}, "4": {"0": {"0": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"4": {"3": {"4": {"1": {"6": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"9": {"8": {"3": {"1": {"3": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"2": {"9": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "9": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 27}, "5": {"0": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 7}, "6": {"0": {"6": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}}, "df": 2, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "7": {"0": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"docs": {}, "df": 0, "\u2013": {"7": {"4": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "6": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "9": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}, "8": {"0": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "9": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "9": {"0": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "7": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 62.12889826803627}, "sqlglot.pretty": {"tf": 1.7320508075688772}, "sqlglot.schema": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 5.916079783099616}, "sqlglot.parse_one": {"tf": 6.324555320336759}, "sqlglot.transpile": {"tf": 7.211102550927978}, "sqlglot.dataframe": {"tf": 48.86716689148246}, "sqlglot.dataframe.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.like": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 21.817424229271428}, "sqlglot.dialects.bigquery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 13}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 13}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 13}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 5.744562646538029}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 13}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 13}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 13}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 13}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 13}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 13}, "sqlglot.dialects.presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 13}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 13}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 3.3166247903554}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 13}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 13}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 13}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 13}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 13}, "sqlglot.dialects.tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 13}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 13}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 13}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 13}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 50.556898639058154}, "sqlglot.diff.Insert": {"tf": 1.4142135623730951}, "sqlglot.diff.Insert.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Remove": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Update": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Keep": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 11.313708498984761}, "sqlglot.diff.ChangeDistiller": {"tf": 2.6457513110645907}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.7320508075688772}, "sqlglot.errors": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.7320508075688772}, "sqlglot.errors.SqlglotError": {"tf": 1.7320508075688772}, "sqlglot.errors.UnsupportedError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.__init__": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.new": {"tf": 1.7320508075688772}, "sqlglot.errors.TokenError": {"tf": 1.7320508075688772}, "sqlglot.errors.OptimizeError": {"tf": 1.7320508075688772}, "sqlglot.errors.SchemaError": {"tf": 1.7320508075688772}, "sqlglot.errors.ExecuteError": {"tf": 1.7320508075688772}, "sqlglot.errors.concat_messages": {"tf": 1.7320508075688772}, "sqlglot.errors.merge_errors": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 35.11409973215888}, "sqlglot.executor.execute": {"tf": 7}, "sqlglot.executor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 3}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.filter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_row": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_index": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_range": {"tf": 1.7320508075688772}, "sqlglot.executor.env": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.filter_nulls": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 4.58257569495584}, "sqlglot.executor.env.str_position": {"tf": 1.7320508075688772}, "sqlglot.executor.env.substring": {"tf": 1.7320508075688772}, "sqlglot.executor.env.cast": {"tf": 1.7320508075688772}, "sqlglot.executor.env.ordered": {"tf": 1.7320508075688772}, "sqlglot.executor.env.interval": {"tf": 1.7320508075688772}, "sqlglot.executor.python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 13}, "sqlglot.executor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.append": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.pop": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 4}, "sqlglot.expressions.Expression": {"tf": 10.954451150103322}, "sqlglot.expressions.Expression.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.this": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_int": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Expression.copy": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.add_comments": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.set": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.depth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.find_all": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.parent_select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.same_parent": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.root": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.walk": {"tf": 5.5677643628300215}, "sqlglot.expressions.Expression.dfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.bfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unalias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.flatten": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.sql": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.transform": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.replace": {"tf": 5.5677643628300215}, "sqlglot.expressions.Expression.pop": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.assert_is": {"tf": 9.643650760992955}, "sqlglot.expressions.Expression.error_messages": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.dump": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 10.04987562112089}, "sqlglot.expressions.Condition.or_": {"tf": 10.04987562112089}, "sqlglot.expressions.Condition.not_": {"tf": 8.602325267042627}, "sqlglot.expressions.Condition.as_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.between": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.is_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.like": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.ilike": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.eq": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.neq": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.rlike": {"tf": 1.7320508075688772}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DerivedTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 10.723805294763608}, "sqlglot.expressions.Unionable.intersect": {"tf": 10.677078252031311}, "sqlglot.expressions.Unionable.except_": {"tf": 10.723805294763608}, "sqlglot.expressions.UDTF": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Uncache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Create": {"tf": 1.7320508075688772}, "sqlglot.expressions.Clone": {"tf": 1.7320508075688772}, "sqlglot.expressions.Describe": {"tf": 1.7320508075688772}, "sqlglot.expressions.Pragma": {"tf": 1.7320508075688772}, "sqlglot.expressions.Set": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetItem": {"tf": 1.7320508075688772}, "sqlglot.expressions.Show": {"tf": 1.7320508075688772}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSet": {"tf": 1.7320508075688772}, "sqlglot.expressions.With": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithinGroup": {"tf": 1.7320508075688772}, "sqlglot.expressions.CTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.TableAlias": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitString": {"tf": 1.7320508075688772}, "sqlglot.expressions.HexString": {"tf": 1.7320508075688772}, "sqlglot.expressions.ByteString": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Column.parts": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.to_dot": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnPosition": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnDef": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterColumn": {"tf": 1.7320508075688772}, "sqlglot.expressions.RenameTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetTag": {"tf": 1.7320508075688772}, "sqlglot.expressions.Comment": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Constraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 9.055385138137417}, "sqlglot.expressions.Delete.where": {"tf": 10.198039027185569}, "sqlglot.expressions.Delete.returning": {"tf": 10.488088481701515}, "sqlglot.expressions.Drop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Filter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Check": {"tf": 1.7320508075688772}, "sqlglot.expressions.Directory": {"tf": 1.7320508075688772}, "sqlglot.expressions.ForeignKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unique": {"tf": 1.7320508075688772}, "sqlglot.expressions.Into": {"tf": 1.7320508075688772}, "sqlglot.expressions.From": {"tf": 1.7320508075688772}, "sqlglot.expressions.Having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hint": {"tf": 1.7320508075688772}, "sqlglot.expressions.JoinHint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Index": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 11.874342087037917}, "sqlglot.expressions.OnConflict": {"tf": 1.7320508075688772}, "sqlglot.expressions.Returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Introducer": {"tf": 1.7320508075688772}, "sqlglot.expressions.National": {"tf": 1.7320508075688772}, "sqlglot.expressions.LoadData": {"tf": 1.7320508075688772}, "sqlglot.expressions.Partition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Fetch": {"tf": 1.7320508075688772}, "sqlglot.expressions.Group": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lambda": {"tf": 1.7320508075688772}, "sqlglot.expressions.Limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 11.40175425099138}, "sqlglot.expressions.Join.using": {"tf": 11.704699910719626}, "sqlglot.expressions.Lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.MatchRecognize": {"tf": 1.7320508075688772}, "sqlglot.expressions.Final": {"tf": 1.7320508075688772}, "sqlglot.expressions.Offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Order": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cluster": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distribute": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sort": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ordered": {"tf": 1.7320508075688772}, "sqlglot.expressions.Property": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ChecksumProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefinerProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistStyleProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.EngineProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExternalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FallbackProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FileFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FreespaceProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.InputOutputFormat": {"tf": 1.7320508075688772}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.JournalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LanguageProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LocationProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LockingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MaterializedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.OnCommitProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReturnsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SerdeProperties": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SettingsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.StabilityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TemporaryProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TransientProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.VolatileProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithDataProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.7320508075688772}, "sqlglot.expressions.Qualify": {"tf": 1.7320508075688772}, "sqlglot.expressions.Return": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reference": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 11.832159566199232}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 12.449899597988733}, "sqlglot.expressions.Table": {"tf": 1.7320508075688772}, "sqlglot.expressions.Table.parts": {"tf": 1.7320508075688772}, "sqlglot.expressions.SystemTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 11.090536506409418}, "sqlglot.expressions.Union.select": {"tf": 10.723805294763608}, "sqlglot.expressions.Union.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Except": {"tf": 1.7320508075688772}, "sqlglot.expressions.Intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Update": {"tf": 1.7320508075688772}, "sqlglot.expressions.Values": {"tf": 1.7320508075688772}, "sqlglot.expressions.Var": {"tf": 1.7320508075688772}, "sqlglot.expressions.Schema": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 10.488088481701515}, "sqlglot.expressions.Select.group_by": {"tf": 11.958260743101398}, "sqlglot.expressions.Select.order_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.sort_by": {"tf": 12.12435565298214}, "sqlglot.expressions.Select.cluster_by": {"tf": 12.12435565298214}, "sqlglot.expressions.Select.limit": {"tf": 11.224972160321824}, "sqlglot.expressions.Select.offset": {"tf": 11.224972160321824}, "sqlglot.expressions.Select.select": {"tf": 10.246950765959598}, "sqlglot.expressions.Select.lateral": {"tf": 11.445523142259598}, "sqlglot.expressions.Select.join": {"tf": 19.026297590440446}, "sqlglot.expressions.Select.where": {"tf": 11.445523142259598}, "sqlglot.expressions.Select.having": {"tf": 12.288205727444508}, "sqlglot.expressions.Select.window": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.qualify": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 10.14889156509222}, "sqlglot.expressions.Select.ctas": {"tf": 11.357816691600547}, "sqlglot.expressions.Select.lock": {"tf": 14.696938456699069}, "sqlglot.expressions.Select.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.TableSample": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 2.23606797749979}, "sqlglot.expressions.Pivot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Window": {"tf": 1.7320508075688772}, "sqlglot.expressions.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.expressions.Where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Parameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.SessionParameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Placeholder": {"tf": 1.7320508075688772}, "sqlglot.expressions.Null": {"tf": 1.7320508075688772}, "sqlglot.expressions.Boolean": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataTypeSize": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.PseudoType": {"tf": 1.7320508075688772}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.All": {"tf": 1.7320508075688772}, "sqlglot.expressions.Any": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exists": {"tf": 1.7320508075688772}, "sqlglot.expressions.Command": {"tf": 1.7320508075688772}, "sqlglot.expressions.Transaction": {"tf": 1.7320508075688772}, "sqlglot.expressions.Commit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Rollback": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.AddConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DropPartition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Binary": {"tf": 1.7320508075688772}, "sqlglot.expressions.Add": {"tf": 1.7320508075688772}, "sqlglot.expressions.Connector": {"tf": 1.7320508075688772}, "sqlglot.expressions.And": {"tf": 1.7320508075688772}, "sqlglot.expressions.Or": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseAnd": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseXor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Div": {"tf": 1.7320508075688772}, "sqlglot.expressions.Overlaps": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DPipe": {"tf": 1.7320508075688772}, "sqlglot.expressions.EQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distance": {"tf": 1.7320508075688772}, "sqlglot.expressions.Escape": {"tf": 1.7320508075688772}, "sqlglot.expressions.Glob": {"tf": 1.7320508075688772}, "sqlglot.expressions.GT": {"tf": 1.7320508075688772}, "sqlglot.expressions.GTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.IntDiv": {"tf": 1.7320508075688772}, "sqlglot.expressions.Is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Kwarg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Like": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.LT": {"tf": 1.7320508075688772}, "sqlglot.expressions.LTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mod": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mul": {"tf": 1.7320508075688772}, "sqlglot.expressions.NEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.SimilarTo": {"tf": 1.7320508075688772}, "sqlglot.expressions.Slice": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sub": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unary": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseNot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Not": {"tf": 1.7320508075688772}, "sqlglot.expressions.Paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.Neg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Aliases": {"tf": 1.7320508075688772}, "sqlglot.expressions.AtTimeZone": {"tf": 1.7320508075688772}, "sqlglot.expressions.Between": {"tf": 1.7320508075688772}, "sqlglot.expressions.Bracket": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.In": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.IgnoreNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.RespectNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 4.69041575982343}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1.7320508075688772}, "sqlglot.expressions.AggFunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Abs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Anonymous": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hll": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxDistinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Array": {"tf": 1.7320508075688772}, "sqlglot.expressions.ToChar": {"tf": 1.7320508075688772}, "sqlglot.expressions.GenerateSeries": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAll": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayContained": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayFilter": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayJoin": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySize": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySort": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySum": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Avg": {"tf": 1.7320508075688772}, "sqlglot.expressions.AnyValue": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.when": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.else_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Cast.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.CastToStrType": {"tf": 1.7320508075688772}, "sqlglot.expressions.Collate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TryCast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ceil": {"tf": 1.7320508075688772}, "sqlglot.expressions.Coalesce": {"tf": 1.7320508075688772}, "sqlglot.expressions.Concat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ConcatWs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Count": {"tf": 1.7320508075688772}, "sqlglot.expressions.CountIf": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDatetime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentUser": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfWeek": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.WeekOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Extract": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFromParts": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Day": {"tf": 1.7320508075688772}, "sqlglot.expressions.Decode": {"tf": 1.7320508075688772}, "sqlglot.expressions.DiToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Encode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exp": {"tf": 1.7320508075688772}, "sqlglot.expressions.Explode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Floor": {"tf": 1.7320508075688772}, "sqlglot.expressions.FromBase64": {"tf": 1.7320508075688772}, "sqlglot.expressions.ToBase64": {"tf": 1.7320508075688772}, "sqlglot.expressions.Greatest": {"tf": 1.7320508075688772}, "sqlglot.expressions.GroupConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hex": {"tf": 1.7320508075688772}, "sqlglot.expressions.If": {"tf": 1.7320508075688772}, "sqlglot.expressions.IfNull": {"tf": 1.7320508075688772}, "sqlglot.expressions.Initcap": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONKeyValue": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONObject": {"tf": 1.7320508075688772}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1.7320508075688772}, "sqlglot.expressions.OpenJSON": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONFormat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Least": {"tf": 1.7320508075688772}, "sqlglot.expressions.Length": {"tf": 1.7320508075688772}, "sqlglot.expressions.Levenshtein": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ln": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log10": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogicalOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogicalAnd": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lower": {"tf": 1.7320508075688772}, "sqlglot.expressions.Map": {"tf": 1.7320508075688772}, "sqlglot.expressions.StarMap": {"tf": 1.7320508075688772}, "sqlglot.expressions.VarMap": {"tf": 1.7320508075688772}, "sqlglot.expressions.MatchAgainst": {"tf": 1.7320508075688772}, "sqlglot.expressions.Max": {"tf": 1.7320508075688772}, "sqlglot.expressions.MD5": {"tf": 1.7320508075688772}, "sqlglot.expressions.Min": {"tf": 1.7320508075688772}, "sqlglot.expressions.Month": {"tf": 1.7320508075688772}, "sqlglot.expressions.Nvl2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Posexplode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Pow": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileCont": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileDisc": {"tf": 1.7320508075688772}, "sqlglot.expressions.Quantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxQuantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.RangeN": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReadCSV": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reduce": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpLike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpSplit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Repeat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Round": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowNumber": {"tf": 1.7320508075688772}, "sqlglot.expressions.SafeDivide": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.SHA": {"tf": 1.7320508075688772}, "sqlglot.expressions.SHA2": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortArray": {"tf": 1.7320508075688772}, "sqlglot.expressions.Split": {"tf": 1.7320508075688772}, "sqlglot.expressions.Substring": {"tf": 1.7320508075688772}, "sqlglot.expressions.StandardHash": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrPosition": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.NumberToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Struct": {"tf": 1.7320508075688772}, "sqlglot.expressions.StructExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sum": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sqrt": {"tf": 1.7320508075688772}, "sqlglot.expressions.Stddev": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevPop": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevSamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.Trim": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unhex": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Upper": {"tf": 1.7320508075688772}, "sqlglot.expressions.Variance": {"tf": 1.7320508075688772}, "sqlglot.expressions.VariancePop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Week": {"tf": 1.7320508075688772}, "sqlglot.expressions.XMLTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Year": {"tf": 1.7320508075688772}, "sqlglot.expressions.Use": {"tf": 1.7320508075688772}, "sqlglot.expressions.Merge": {"tf": 1.7320508075688772}, "sqlglot.expressions.When": {"tf": 1.7320508075688772}, "sqlglot.expressions.NextValueFor": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 10.14889156509222}, "sqlglot.expressions.union": {"tf": 10.344080432788601}, "sqlglot.expressions.intersect": {"tf": 10.344080432788601}, "sqlglot.expressions.except_": {"tf": 10.392304845413264}, "sqlglot.expressions.select": {"tf": 9.797958971132712}, "sqlglot.expressions.from_": {"tf": 9.797958971132712}, "sqlglot.expressions.update": {"tf": 12}, "sqlglot.expressions.delete": {"tf": 9.433981132056603}, "sqlglot.expressions.insert": {"tf": 10.04987562112089}, "sqlglot.expressions.condition": {"tf": 14.212670403551895}, "sqlglot.expressions.and_": {"tf": 10.246950765959598}, "sqlglot.expressions.or_": {"tf": 10.246950765959598}, "sqlglot.expressions.not_": {"tf": 8.831760866327848}, "sqlglot.expressions.paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_identifier": {"tf": 5.744562646538029}, "sqlglot.expressions.to_interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 6.244997998398398}, "sqlglot.expressions.to_column": {"tf": 5.291502622129181}, "sqlglot.expressions.alias_": {"tf": 12.84523257866513}, "sqlglot.expressions.subquery": {"tf": 10.198039027185569}, "sqlglot.expressions.column": {"tf": 6.082762530298219}, "sqlglot.expressions.cast": {"tf": 8.888194417315589}, "sqlglot.expressions.table_": {"tf": 5.916079783099616}, "sqlglot.expressions.values": {"tf": 8.888194417315589}, "sqlglot.expressions.var": {"tf": 10.488088481701515}, "sqlglot.expressions.rename_table": {"tf": 4.898979485566356}, "sqlglot.expressions.convert": {"tf": 5.744562646538029}, "sqlglot.expressions.replace_children": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 8.48528137423857}, "sqlglot.expressions.table_name": {"tf": 9.797958971132712}, "sqlglot.expressions.replace_tables": {"tf": 10.44030650891055}, "sqlglot.expressions.replace_placeholders": {"tf": 12.529964086141668}, "sqlglot.expressions.expand": {"tf": 14.247806848775006}, "sqlglot.expressions.func": {"tf": 12.884098726725126}, "sqlglot.expressions.true": {"tf": 1.7320508075688772}, "sqlglot.expressions.false": {"tf": 1.7320508075688772}, "sqlglot.expressions.null": {"tf": 1.7320508075688772}, "sqlglot.generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 13}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 3}, "sqlglot.generator.Generator.unsupported": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sep": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.wrap": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.no_identify": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.indent": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.column_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.create_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.clone_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.index_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.national_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.root_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.returning_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.table_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.var_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.into_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.from_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.group_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.having_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.join_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.set_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.null_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.order_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.star_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.where_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.window_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.between_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.all_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.any_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.case_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.check_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.if_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.return_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.not_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.add_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.and_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.command_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.comment_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.div_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.is_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.like_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.or_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.use_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.binary": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.text_width": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_time": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.naked_property": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.set_operation": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.token_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.when_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.cached_generator": {"tf": 1.7320508075688772}, "sqlglot.helper": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 2.449489742783178}, "sqlglot.helper.seq_get": {"tf": 3.3166247903554}, "sqlglot.helper.ensure_list": {"tf": 4.795831523312719}, "sqlglot.helper.ensure_collection": {"tf": 5.196152422706632}, "sqlglot.helper.csv": {"tf": 5.291502622129181}, "sqlglot.helper.subclasses": {"tf": 5.744562646538029}, "sqlglot.helper.apply_index_offset": {"tf": 5.830951894845301}, "sqlglot.helper.camel_to_snake_case": {"tf": 2.23606797749979}, "sqlglot.helper.while_changing": {"tf": 5.291502622129181}, "sqlglot.helper.tsort": {"tf": 4.795831523312719}, "sqlglot.helper.open_file": {"tf": 1.7320508075688772}, "sqlglot.helper.csv_reader": {"tf": 5.477225575051661}, "sqlglot.helper.find_new_name": {"tf": 5.291502622129181}, "sqlglot.helper.object_to_dict": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 12.649110640673518}, "sqlglot.helper.is_iterable": {"tf": 8.94427190999916}, "sqlglot.helper.flatten": {"tf": 11.224972160321824}, "sqlglot.helper.dict_depth": {"tf": 11.489125293076057}, "sqlglot.helper.first": {"tf": 2.449489742783178}, "sqlglot.helper.should_identify": {"tf": 5.291502622129181}, "sqlglot.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.to_html": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 6.928203230275509}, "sqlglot.lineage.LineageHTML": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 13.2664991614216}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 4.69041575982343}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 10.198039027185569}, "sqlglot.optimizer.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 10.344080432788601}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 4.58257569495584}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 12.727922061357855}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 9.797958971132712}, "sqlglot.optimizer.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 11.180339887498949}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 10.535653752852738}, "sqlglot.optimizer.normalize.normalized": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 9.591663046625438}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 7.874007874011811}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 7.54983443527075}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 10.344080432788601}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 10.44030650891055}, "sqlglot.optimizer.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 11.832159566199232}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 4.795831523312719}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 13.416407864998739}, "sqlglot.optimizer.scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 9.539392014169456}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 5.744562646538029}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 5.477225575051661}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 3.872983346207417}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 4}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 13.601470508735444}, "sqlglot.optimizer.scope.build_scope": {"tf": 4.69041575982343}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 5.385164807134504}, "sqlglot.optimizer.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 9.643650760992955}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2.6457513110645907}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.always_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_false": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_null": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 9.899494936611665}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.7320508075688772}, "sqlglot.parser": {"tf": 1.7320508075688772}, "sqlglot.parser.parse_var_map": {"tf": 1.7320508075688772}, "sqlglot.parser.parse_like": {"tf": 1.7320508075688772}, "sqlglot.parser.binary_range_parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 6.082762530298219}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.reset": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 5.291502622129181}, "sqlglot.parser.Parser.parse_into": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.check_errors": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.validate_expression": {"tf": 4.358898943540674}, "sqlglot.planner": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Step.add_dependency": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Join": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.Aggregate": {"tf": 1.7320508075688772}, "sqlglot.planner.Sort": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 7.681145747868608}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 5.291502622129181}, "sqlglot.schema.Schema.column_names": {"tf": 6.082762530298219}, "sqlglot.schema.Schema.get_column_type": {"tf": 6.082762530298219}, "sqlglot.schema.Schema.supported_table_args": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.empty": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 4}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 7}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 5.291502622129181}, "sqlglot.schema.MappingSchema.column_names": {"tf": 6.082762530298219}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 6.082762530298219}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_column_mapping": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_get": {"tf": 5.830951894845301}, "sqlglot.schema.nested_set": {"tf": 12.649110640673518}, "sqlglot.serde": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 2.23606797749979}, "sqlglot.time": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 7.681145747868608}, "sqlglot.tokens": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATIONAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.XML": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 6.244997998398398}, "sqlglot.tokens.Token.number": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.string": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.identifier": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.var": {"tf": 2.23606797749979}, "sqlglot.tokens.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 2.23606797749979}, "sqlglot.transforms": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 9.327379053088816}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.0990195135927845}, "sqlglot.transforms.eliminate_qualify": {"tf": 3.1622776601683795}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 2}, "sqlglot.transforms.explode_to_unnest": {"tf": 2}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.7320508075688772}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 5}, "sqlglot.trie": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 9.539392014169456}, "sqlglot.trie.in_trie": {"tf": 13.228756555322953}}, "df": 1801, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 65, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 5.5677643628300215}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 2.23606797749979}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 6.48074069840786}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 6.324555320336759}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.23606797749979}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 132, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.4031242374328485}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 5}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.449489742783178}, "sqlglot.optimizer.normalize.normalize": {"tf": 2}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.23606797749979}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 75, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 3.3166247903554}}, "df": 1}}}}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 5}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.4641016151377544}, "sqlglot.executor.python.Python.Generator": {"tf": 3.4641016151377544}, "sqlglot.generator.Generator": {"tf": 3.4641016151377544}}, "df": 22}}, "c": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 3}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}}, "df": 3}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 2}}}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 61}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 3}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}}, "df": 7}}}}}}}, "b": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 2}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 13}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 2.6457513110645907}}, "df": 1}}}, "m": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 4}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}}, "df": 6}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 10, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 15, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.diff": {"tf": 7.937253933193772}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 2}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 23, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}}, "df": 8}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}}, "df": 4, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 27, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}}, "df": 22}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 19, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 30}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "b": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.872983346207417}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.872983346207417}, "sqlglot.executor.python.Python.Generator": {"tf": 3.872983346207417}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 3.872983346207417}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 62, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 3.7416573867739413}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.generate": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 104, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 26}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}}, "df": 3}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3}, "y": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 10}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 4}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.164414002968976}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.where": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 3.1622776601683795}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 98, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 3}}, "|": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 6}}, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 5, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 5.916079783099616}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 2}}, "df": 89, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 2}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 22}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 7, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 4.242640687119285}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 21, "s": {"docs": {"sqlglot.schema.Schema": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.605551275463989}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 2}}, "df": 35, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 3.605551275463989}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 4}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 44, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 8}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 23}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.replace": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 7.54983443527075}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.58257569495584}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 160, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 96, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.first": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 12, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "n": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.605551275463989}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 2.6457513110645907}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 164, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 45, "s": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 56, "s": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 6, "d": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 11}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 2.8284271247461903}}, "df": 5, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 2}}}}}}, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2.23606797749979}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 35, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 44}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}}, "df": 3}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}}, "df": 3, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 23}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 48}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}}, "df": 5}, "r": {"docs": {"sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.dataframe": {"tf": 4.47213595499958}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 41, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}}}}, "d": {"1": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 1}, "2": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {"sqlglot": {"tf": 4.69041575982343}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 2}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1.4142135623730951}}, "df": 32, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 27}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}}, "df": 2}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}}, "df": 25, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.to_identifier": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.using": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 154}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "\u2019": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {"sqlglot": {"tf": 7.681145747868608}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2.449489742783178}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3}, "sqlglot.diff": {"tf": 8.94427190999916}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 8.660254037844387}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 3}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_number": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 2.23606797749979}, "sqlglot.expressions.to_column": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 3}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.449489742783178}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.7320508075688772}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 2}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.Scan.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.SetOperation.from_expression": {"tf": 3.4641016151377544}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 2.6457513110645907}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 237, "n": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 132, "d": {"docs": {"sqlglot": {"tf": 5.196152422706632}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 7.0710678118654755}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 7.0710678118654755}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 120}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 13}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 27, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "l": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 16}}, "l": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 68, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 56, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 26}, "d": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}}, "df": 25}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "g": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 5}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 4}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 79, "n": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 2}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 12, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 2}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 187}}}}}}, "s": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 12}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "[": {"0": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "1": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "docs": {}, "df": 0}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 4.47213595499958}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 145, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 17, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 15, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 5}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3}}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot": {"tf": 2}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 10}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}}, "df": 17, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 3}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}}}}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 3.872983346207417}}, "df": 1}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1.4142135623730951}}, "df": 1, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}}, "df": 3}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 15, "t": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 83, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 7, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 7.745966692414834}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 29, "s": {"docs": {"sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 12}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 10, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.6457513110645907}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.23606797749979}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 34}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}}, "df": 2, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 24, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}}, "df": 3, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1.4142135623730951}}, "df": 52}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 47, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 2}}, "df": 42}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1.7320508075688772}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}}, "df": 47, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}}, "df": 35}, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "\u00ef": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 52, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 6, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "^": {"2": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}, "docs": {}, "df": 0}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 8, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 6}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}}, "df": 6}}}, "v": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}}, "df": 3, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}}, "df": 2}, "s": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 22}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 5, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 5}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 5}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 5}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 5}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 5}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 5}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 5}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 5}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 5}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 5}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 5}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 5}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 5}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 5}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 5}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 5}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 5}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 5}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 5}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 5}, "sqlglot.executor.python.Python.Generator": {"tf": 5}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 5}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 52, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 25}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 9}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.1622776601683795}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.1622776601683795}, "sqlglot.executor.python.Python.Generator": {"tf": 3.1622776601683795}, "sqlglot.generator.Generator": {"tf": 3.1622776601683795}}, "df": 22, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.expressions.Delete.delete": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}}, "df": 4}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 5}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.copy": {"tf": 1}}, "df": 1}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 63, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 9}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}}, "df": 2}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 29, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 2}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 2}, "sqlglot.time.format_time": {"tf": 1}}, "df": 35}}}}}}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 4}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}}}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 6, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 28, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 5}, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 3}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 8}}}}, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}}, "df": 6}}}}}}, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}}, "df": 5}, "y": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 3}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "b": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}}, "df": 11, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 88, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 26, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 21}}}}}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 29}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 8, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}}, "df": 6, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 9, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 42}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 10}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 25}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 6}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 7}}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 11}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 24}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.449489742783178}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 29, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 29, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 2}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 2.8284271247461903}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}}, "df": 7}, "y": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 3}}}}}, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "h": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 6}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}}, "df": 5, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.872983346207417}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 75, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 6}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 68}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.8284271247461903}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 25, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 3.7416573867739413}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 5.0990195135927845}, "sqlglot.diff": {"tf": 8.48528137423857}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 6.708203932499369}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 5.0990195135927845}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 2}, "sqlglot.expressions.Delete.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.returning": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2.6457513110645907}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 2.6457513110645907}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.23606797749979}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 5.0990195135927845}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.7320508075688772}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 2}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 2.449489742783178}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 196, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 2.6457513110645907}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 26}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 23}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 3}}}}}}}, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 2.23606797749979}}, "df": 2, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3}}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 4.69041575982343}, "sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 4}, "sqlglot.dataframe": {"tf": 4.358898943540674}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 4.358898943540674}, "sqlglot.diff": {"tf": 15.066519173319364}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 8.48528137423857}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 4.358898943540674}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find_all": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Delete.returning": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 3.4641016151377544}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.8284271247461903}, "sqlglot.expressions.Join.using": {"tf": 3}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 3.4641016151377544}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.sort_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.offset": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.lateral": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.join": {"tf": 3.3166247903554}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 2.8284271247461903}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3.1622776601683795}, "sqlglot.expressions.union": {"tf": 3.1622776601683795}, "sqlglot.expressions.intersect": {"tf": 3.1622776601683795}, "sqlglot.expressions.except_": {"tf": 3.1622776601683795}, "sqlglot.expressions.select": {"tf": 3}, "sqlglot.expressions.from_": {"tf": 3.3166247903554}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.insert": {"tf": 3.1622776601683795}, "sqlglot.expressions.condition": {"tf": 3}, "sqlglot.expressions.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.not_": {"tf": 2.23606797749979}, "sqlglot.expressions.to_identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 3}, "sqlglot.expressions.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 3}, "sqlglot.generator.Generator": {"tf": 4.358898943540674}, "sqlglot.generator.Generator.generate": {"tf": 2}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.helper.apply_index_offset": {"tf": 2.8284271247461903}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.8284271247461903}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.Scan.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.column_names": {"tf": 2}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.column_names": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.449489742783178}, "sqlglot.schema.nested_get": {"tf": 2.23606797749979}, "sqlglot.schema.nested_set": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 3.3166247903554}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 2.6457513110645907}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 2}, "sqlglot.trie.new_trie": {"tf": 2.23606797749979}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 246, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 2}}, "df": 4, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 16}, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 6}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 30}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 9}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff": {"tf": 5.744562646538029}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 69}, "n": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot": {"tf": 4.58257569495584}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 6.244997998398398}, "sqlglot.diff.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 178}, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 2}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 7.280109889280518}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 35, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.3166247903554}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Table.parts": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 2.8284271247461903}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 2.8284271247461903}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2.6457513110645907}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.column_names": {"tf": 2}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2.449489742783178}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.449489742783178}, "sqlglot.schema.MappingSchema.column_names": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 89, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 21, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 42}}}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 2}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 3}, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 32, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 2.23606797749979}}, "df": 28, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"1": {"docs": {"sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 2}, "2": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 4}, "docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 30}}, "w": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 5}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 30, "s": {"docs": {"sqlglot.dataframe": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 21}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}, "p": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 4, "[": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.schema.nested_get": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 3, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 10, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 8, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 9}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 13, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1}}, "df": 3}}, "[": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 90}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}}, "df": 46}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot": {"tf": 4}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 2.6457513110645907}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 2}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 98, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 20, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 42}}}}}}, "g": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"3": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"4": {"3": {"3": {"9": {"2": {"3": {"0": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 10.488088481701515}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 165, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 23}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}}, "df": 35, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 7}}}, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 50, "e": {"docs": {"sqlglot": {"tf": 4.242640687119285}, "sqlglot.parse": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 63, "s": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 72}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.expressions.Select.distinct": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 6}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 50, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 22}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 5, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.insert": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 10, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 3}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 26, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 23}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {"sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 6}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 13}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "p": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.dialects": {"tf": 3.3166247903554}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 19, "r": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 2}, "sqlglot.expressions.Expression.pop": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.where": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.returning": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 3}, "sqlglot.expressions.Select.order_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.sort_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.limit": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.offset": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3}, "sqlglot.expressions.union": {"tf": 2.6457513110645907}, "sqlglot.expressions.intersect": {"tf": 2.6457513110645907}, "sqlglot.expressions.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 3}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.449489742783178}, "sqlglot.expressions.subquery": {"tf": 2.6457513110645907}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 2.23606797749979}, "sqlglot.expressions.replace_placeholders": {"tf": 2.23606797749979}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 2}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.8284271247461903}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2.6457513110645907}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 2.449489742783178}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 3}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 2}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.6457513110645907}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse_into": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.Scan.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.6457513110645907}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 152, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 2}, "sqlglot.expressions.or_": {"tf": 2}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 95}, "|": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.replace": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.iter_expressions": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 3, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 92, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 17}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 7}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 21}}}}}, "t": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.449489742783178}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 30, "s": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 29}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 42}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 26}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.123105625617661}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 3}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 10}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 23}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 10}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 3}}, "df": 1}}}, "u": {"docs": {}, "df": 0, ":": {"8": {"0": {"9": {"0": {"docs": {}, "df": 0, "/": {"1": {"1": {"5": {"docs": {}, "df": 0, "/": {"1": {"docs": {}, "df": 0, "/": {"1": {"9": {"9": {"5": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "c": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 22, "a": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 29, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 12, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}, "r": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}}, "df": 3, "d": {"docs": {"sqlglot.generator.cached_generator": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.trie.in_trie": {"tf": 2}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 10}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 16}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 3}}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 4, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.7416573867739413}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}}, "df": 26}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 14, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 22, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 43}}, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"8": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}}, "df": 29}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 24, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 5}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 21}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 9}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 4}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 2}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 71}}, "l": {"1": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 9, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}}, "df": 3}, "b": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 2.449489742783178}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 2}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 63, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 28}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}}, "df": 6, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}}, "df": 40}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 27, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 8, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 7, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 3.4641016151377544}, "sqlglot.generator.Generator": {"tf": 3.4641016151377544}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 24, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 43}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 9}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 2}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 25}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 5}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2}}, "df": 23, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 2}}, "df": 2, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.cluster_by": {"tf": 2}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1, "v": {"docs": {"sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 2}}, "df": 2}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 2, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {"sqlglot": {"tf": 4.795831523312719}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 3.1622776601683795}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 36, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 110, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 6}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 27}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 6}}, "y": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects.bigquery": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 22}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 16, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "s": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 10}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 5}}, "y": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 60, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 23, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}}, "df": 3}, "r": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}}, "df": 5, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 15, "d": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 6}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 61, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 3}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1}}, "b": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 5}}}, "u": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.3166247903554}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 3.3166247903554}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 3.3166247903554}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 95, "d": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 83}, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 6}}}, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 9}}}, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 26, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}}, "df": 23, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}}, "df": 3}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}}, "df": 1}, "/": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 4}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}}, "df": 3}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 5, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 23}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 4.69041575982343}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 6.855654600401044}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2.23606797749979}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 90, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}}, "df": 10, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}}, "df": 27, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}}, "df": 24}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 12}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}}}, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 14}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 6.557438524302}, "sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 3.3166247903554}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 120, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 8, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 14}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4, "c": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 35, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 34}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}}, "df": 3, "y": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "\u00e9": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}}, "df": 6}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 81}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 9}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 24, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 2}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}}, "df": 24}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 2}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 2}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 57, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 11}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2.23606797749979}}, "df": 4, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 23}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 10}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 47}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 22}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 5.196152422706632}}, "df": 1}}}, "f": {"docs": {"sqlglot.diff": {"tf": 6.324555320336759}, "sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "n": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 25}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 9, "/": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45, "r": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 8, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 7}, "d": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 6}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}}, "df": 5, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 6}}}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 12, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 175}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 39}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}}, "df": 3}}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 12}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}}, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 26}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 10, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}}, "df": 2}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 3}, "s": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 13, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 10, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 6}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 11}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 5}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 46, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "w": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.execute": {"tf": 1}}, "df": 5, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}}, "df": 3}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "\u00e9": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 48, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 5}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 83}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 3}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.3166247903554}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.3166247903554}, "sqlglot.diff": {"tf": 4}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 3.3166247903554}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 3.3166247903554}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 53}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 53}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 19}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 53}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.executor": {"tf": 2}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}}, "df": 4}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}}, "df": 11}}}, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 5.5677643628300215}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 15, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}}, "df": 3}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 5, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "k": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.8284271247461903}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.tokens.Token.var": {"tf": 1.4142135623730951}}, "df": 4, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 2.23606797749979}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.23606797749979}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 3.1622776601683795}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 17, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 2.6457513110645907}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 10}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 3}}}, "\u00e4": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2.23606797749979}}, "df": 2}}, "g": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}}, "df": 5, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 39}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "d": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 45}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "h": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 5.656854249492381}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Delete.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Star.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Cast.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 3.4641016151377544}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2.449489742783178}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.expressions.column_table_names": {"tf": 2.449489742783178}, "sqlglot.expressions.table_name": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 2.449489742783178}, "sqlglot.expressions.expand": {"tf": 3}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3}, "sqlglot.helper.is_iterable": {"tf": 2.449489742783178}, "sqlglot.helper.flatten": {"tf": 2.449489742783178}, "sqlglot.helper.dict_depth": {"tf": 3.872983346207417}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 4}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.872983346207417}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.4641016151377544}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3.872983346207417}, "sqlglot.optimizer.simplify.simplify": {"tf": 3}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3}, "sqlglot.schema.nested_set": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 2.449489742783178}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 3}}, "df": 99}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 2}}, "df": 13, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 29, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 14.594519519326424}, "sqlglot.dataframe": {"tf": 10.392304845413264}, "sqlglot.dialects": {"tf": 5.385164807134504}, "sqlglot.diff": {"tf": 5.830951894845301}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.returning": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Insert.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.sort_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 5.477225575051661}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 4.47213595499958}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 4}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 3.1622776601683795}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 3.1622776601683795}, "sqlglot.expressions.expand": {"tf": 4}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 3.1622776601683795}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 4.242640687119285}, "sqlglot.time.format_time": {"tf": 2.449489742783178}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.449489742783178}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 92, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 26, "d": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 24}}}, "k": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.7320508075688772}}, "df": 6, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}}}, "y": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.8284271247461903}, "sqlglot.planner.Step.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.Scan.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.8284271247461903}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 40, "o": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 2}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 8, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "y": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 9}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 11}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 3.7416573867739413}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "q": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 4}}}}}, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 22}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}}, "df": 2}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 19, "n": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 3, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 2}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "f": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}}, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 4}}}}, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 9, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 4}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.schema.nested_set": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 40, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 23}, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 6}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}}, "df": 7, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 3}, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 7.14142842854285}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 48}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 20, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 46}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}}, "df": 1, "s": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 26}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 23}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 24, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "z": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 8}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 4, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 11}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 9}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1}}}}}, "j": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.join": {"tf": 3.7416573867739413}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 8}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 5}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot": {"tf": 4.898979485566356}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.where": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.449489742783178}, "sqlglot.planner.Step.from_expression": {"tf": 4}, "sqlglot.planner.Scan.from_expression": {"tf": 4}, "sqlglot.planner.SetOperation.from_expression": {"tf": 4}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 62, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "z": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 15, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 4}}, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 2}, "sqlglot.schema.nested_set": {"tf": 3.4641016151377544}, "sqlglot.trie.in_trie": {"tf": 2}}, "df": 38, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}}, "df": 3}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}}, "df": 26}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 2}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 27}}}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; + /** pdoc search index */const docs = {"version": "0.9.5", "fields": ["qualname", "fullname", "annotation", "default_value", "signature", "bases", "doc"], "ref": "fullname", "documentStore": {"docs": {"sqlglot": {"fullname": "sqlglot", "modulename": "sqlglot", "kind": "module", "doc": "

\"SQLGlot

\n\n

SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically correct SQL in the targeted dialects.

\n\n

It is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python.

\n\n

You can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL.

\n\n

Syntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot\u2019s goal, so some syntax errors may go unnoticed.

\n\n

Contributions are very welcome in SQLGlot; read the contribution guide to get started!

\n\n

Table of Contents

\n\n\n\n

Install

\n\n

From PyPI:

\n\n
pip3 install sqlglot\n
\n\n

Or with a local checkout:

\n\n
make install\n
\n\n

Requirements for development (optional):

\n\n
make install-dev\n
\n\n

Versioning

\n\n

Given a version number MAJOR.MINOR.PATCH, SQLGlot uses the following versioning strategy:

\n\n
    \n
  • The PATCH version is incremented when there are backwards-compatible fixes or feature additions.
    • \n
  • The MINOR version is incremented when there are backwards-incompatible fixes or feature additions.
    • \n
  • The MAJOR version is incremented when there are significant backwards-incompatible fixes or feature additions.
    • \n
\n\n

Get in Touch

\n\n

We'd love to hear from you. Join our community Slack channel!

\n\n

Examples

\n\n

Formatting and Transpiling

\n\n

Easily translate from one dialect to another. For example, date/time functions vary from dialects and can be hard to deal with:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
\n
\n\n

SQLGlot can even translate custom time formats:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT STRFTIME(x, '%y-%-m-%S')", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
"SELECT DATE_FORMAT(x, 'yy-M-ss')"\n
\n
\n\n

As another example, let's suppose that we want to read in a SQL query that contains a CTE and a cast to REAL, and then transpile it to Spark, which uses backticks for identifiers and FLOAT instead of REAL:

\n\n
\n
import sqlglot\n\nsql = """WITH baz AS (SELECT a, c FROM foo WHERE a = 1) SELECT f.a, b.b, baz.c, CAST("b"."a" AS REAL) d FROM foo f JOIN bar b ON f.a = b.a LEFT JOIN baz ON f.a = baz.a"""\nprint(sqlglot.transpile(sql, write="spark", identify=True, pretty=True)[0])\n
\n
\n\n
\n
WITH `baz` AS (\n  SELECT\n    `a`,\n    `c`\n  FROM `foo`\n  WHERE\n    `a` = 1\n)\nSELECT\n  `f`.`a`,\n  `b`.`b`,\n  `baz`.`c`,\n  CAST(`b`.`a` AS FLOAT) AS `d`\nFROM `foo` AS `f`\nJOIN `bar` AS `b`\n  ON `f`.`a` = `b`.`a`\nLEFT JOIN `baz`\n  ON `f`.`a` = `baz`.`a`\n
\n
\n\n

Comments are also preserved in a best-effort basis when transpiling SQL code:

\n\n
\n
sql = """\n/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), # comment 3\n  y               -- comment 4\nFROM\n  bar /* comment 5 */,\n  tbl #          comment 6\n"""\n\nprint(sqlglot.transpile(sql, read='mysql', pretty=True)[0])\n
\n
\n\n
\n
/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), /* comment 3 */\n  y /* comment 4 */\nFROM bar /* comment 5 */, tbl /*          comment 6 */\n
\n
\n\n

Metadata

\n\n

You can explore SQL with expression helpers to do things like find columns and tables:

\n\n
\n
from sqlglot import parse_one, exp\n\n# print all column references (a and b)\nfor column in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Column):\n    print(column.alias_or_name)\n\n# find all projections in select statements (a and c)\nfor select in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Select):\n    for projection in select.expressions:\n        print(projection.alias_or_name)\n\n# find all tables (x, y, z)\nfor table in parse_one("SELECT * FROM x JOIN y JOIN z").find_all(exp.Table):\n    print(table.name)\n
\n
\n\n

Parser Errors

\n\n

When the parser detects an error in the syntax, it raises a ParserError:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n
\n
\n\n
sqlglot.errors.ParseError: Expecting ). Line 1, Col: 13.\n  select foo( FROM bar\n              ~~~~\n
\n\n

Structured syntax errors are accessible for programmatic use:

\n\n
\n
import sqlglot\ntry:\n    sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n    print(e.errors)\n
\n
\n\n
\n
[{\n  'description': 'Expecting )',\n  'line': 1,\n  'col': 13,\n  'start_context': 'SELECT foo( ',\n  'highlight': 'FROM',\n  'end_context': ' bar'\n}]\n
\n
\n\n

Unsupported Errors

\n\n

Presto APPROX_DISTINCT supports the accuracy argument which is not supported in Hive:

\n\n
\n
import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n
\n
\n\n
\n
APPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n
\n
\n\n

Build and Modify SQL

\n\n

SQLGlot supports incrementally building sql expressions:

\n\n
\n
from sqlglot import select, condition\n\nwhere = condition("x=1").and_("y=1")\nselect("*").from_("y").where(where).sql()\n
\n
\n\n
\n
'SELECT * FROM y WHERE x = 1 AND y = 1'\n
\n
\n\n

You can also modify a parsed tree:

\n\n
\n
from sqlglot import parse_one\nparse_one("SELECT x FROM y").from_("z").sql()\n
\n
\n\n
\n
'SELECT x FROM y, z'\n
\n
\n\n

There is also a way to recursively transform the parsed tree by applying a mapping function to each tree node:

\n\n
\n
from sqlglot import exp, parse_one\n\nexpression_tree = parse_one("SELECT a FROM x")\n\ndef transformer(node):\n    if isinstance(node, exp.Column) and node.name == "a":\n        return parse_one("FUN(a)")\n    return node\n\ntransformed_tree = expression_tree.transform(transformer)\ntransformed_tree.sql()\n
\n
\n\n
\n
'SELECT FUN(a) FROM x'\n
\n
\n\n

SQL Optimizer

\n\n

SQLGlot can rewrite queries into an \"optimized\" form. It performs a variety of techniques to create a new canonical AST. This AST can be used to standardize queries or provide the foundations for implementing an actual engine. For example:

\n\n
\n
import sqlglot\nfrom sqlglot.optimizer import optimize\n\nprint(\n    optimize(\n        sqlglot.parse_one("""\n            SELECT A OR (B OR (C AND D))\n            FROM x\n            WHERE Z = date '2021-01-01' + INTERVAL '1' month OR 1 = 0\n        """),\n        schema={"x": {"A": "INT", "B": "INT", "C": "INT", "D": "INT", "Z": "STRING"}}\n    ).sql(pretty=True)\n)\n
\n
\n\n
\n
SELECT\n  (\n    "x"."a" <> 0 OR "x"."b" <> 0 OR "x"."c" <> 0\n  )\n  AND (\n    "x"."a" <> 0 OR "x"."b" <> 0 OR "x"."d" <> 0\n  ) AS "_col_0"\nFROM "x" AS "x"\nWHERE\n  CAST("x"."z" AS DATE) = CAST('2021-02-01' AS DATE)\n
\n
\n\n

AST Introspection

\n\n

You can see the AST version of the sql by calling repr:

\n\n
\n
from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n
\n
\n\n
\n
(SELECT expressions:\n  (ALIAS this:\n    (ADD this:\n      (COLUMN this:\n        (IDENTIFIER this: a, quoted: False)), expression:\n      (LITERAL this: 1, is_string: False)), alias:\n    (IDENTIFIER this: z, quoted: False)))\n
\n
\n\n

AST Diff

\n\n

SQLGlot can calculate the difference between two expressions and output changes in a form of a sequence of actions needed to transform a source expression into a target one:

\n\n
\n
from sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n
\n
\n\n
\n
[\n  Remove(expression=(ADD this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Insert(expression=(SUB this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Move(expression=(COLUMN this:\n    (IDENTIFIER this: c, quoted: False))),\n  Keep(source=(IDENTIFIER this: b, quoted: False), target=(IDENTIFIER this: b, quoted: False)),\n  ...\n]\n
\n
\n\n

See also: Semantic Diff for SQL.

\n\n

Custom Dialects

\n\n

Dialects can be added by subclassing Dialect:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n\nprint(Dialect["custom"])\n
\n
\n\n
<class '__main__.Custom'>\n
\n\n

SQL Execution

\n\n

One can even interpret SQL queries using SQLGlot, where the tables are represented as Python dictionaries. Although the engine is not very fast (it's not supposed to be) and is in a relatively early stage of development, it can be useful for unit testing and running SQL natively across Python objects. Additionally, the foundation can be easily integrated with fast compute kernels (arrow, pandas). Below is an example showcasing the execution of a SELECT expression that involves aggregations and JOINs:

\n\n
\n
from sqlglot.executor import execute\n\ntables = {\n    "sushi": [\n        {"id": 1, "price": 1.0},\n        {"id": 2, "price": 2.0},\n        {"id": 3, "price": 3.0},\n    ],\n    "order_items": [\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 2, "order_id": 1},\n        {"sushi_id": 3, "order_id": 2},\n    ],\n    "orders": [\n        {"id": 1, "user_id": 1},\n        {"id": 2, "user_id": 2},\n    ],\n}\n\nexecute(\n    """\n    SELECT\n      o.user_id,\n      SUM(s.price) AS price\n    FROM orders o\n    JOIN order_items i\n      ON o.id = i.order_id\n    JOIN sushi s\n      ON i.sushi_id = s.id\n    GROUP BY o.user_id\n    """,\n    tables=tables\n)\n
\n
\n\n
\n
user_id price\n      1   4.0\n      2   3.0\n
\n
\n\n

See also: Writing a Python SQL engine from scratch.

\n\n

Used By

\n\n\n\n

Documentation

\n\n

SQLGlot uses pdoc to serve its API documentation:

\n\n
make docs-serve\n
\n\n

Run Tests and Lint

\n\n
make check  # Set SKIP_INTEGRATION=1 to skip integration tests\n
\n\n

Benchmarks

\n\n

Benchmarks run on Python 3.10.5 in seconds.

\n\n\n\n\n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n
Querysqlglotsqlfluffsqltreesqlparsemoz_sql_parsersqloxide
tpch0.01308 (1.0)1.60626 (122.7)0.01168 (0.893)0.04958 (3.791)0.08543 (6.531)0.00136 (0.104)
short0.00109 (1.0)0.14134 (129.2)0.00099 (0.906)0.00342 (3.131)0.00652 (5.970)8.76E-5 (0.080)
long0.01399 (1.0)2.12632 (151.9)0.01126 (0.805)0.04410 (3.151)0.06671 (4.767)0.00107 (0.076)
crazy0.03969 (1.0)24.3777 (614.1)0.03917 (0.987)11.7043 (294.8)1.03280 (26.02)0.00625 (0.157)
\n\n

Optional Dependencies

\n\n

SQLGlot uses dateutil to simplify literal timedelta expressions. The optimizer will not simplify expressions like the following if the module cannot be found:

\n\n
\n
x + interval '1' month\n
\n
\n\n
\n"}, "sqlglot.pretty": {"fullname": "sqlglot.pretty", "modulename": "sqlglot", "qualname": "pretty", "kind": "variable", "doc": "

Whether to format generated SQL by default.

\n", "default_value": "False"}, "sqlglot.schema": {"fullname": "sqlglot.schema", "modulename": "sqlglot.schema", "kind": "module", "doc": "

\n"}, "sqlglot.parse": {"fullname": "sqlglot.parse", "modulename": "sqlglot", "qualname": "parse", "kind": "function", "doc": "

Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • **opts: other sqlglot.parser.Parser options.
    • \n
\n\n
Returns:
\n\n
\n

The resulting syntax tree collection.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parse_one": {"fullname": "sqlglot.parse_one", "modulename": "sqlglot", "qualname": "parse_one", "kind": "function", "doc": "

Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • into: the SQLGlot Expression to parse into.
    • \n
  • **opts: other sqlglot.parser.Parser options.
    • \n
\n\n
Returns:
\n\n
\n

The syntax tree for the first parsed statement.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transpile": {"fullname": "sqlglot.transpile", "modulename": "sqlglot", "qualname": "transpile", "kind": "function", "doc": "

Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed\nto conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to transpile.
    • \n
  • read: the source dialect used to parse the input string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • write: the target dialect into which the input should be transformed (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • identity: if set to True and if the target dialect is not specified the source dialect will be used as both:\nthe source and the target dialect.
    • \n
  • error_level: the desired error level of the parser.
    • \n
  • **opts: other sqlglot.generator.Generator options.
    • \n
\n\n
Returns:
\n\n
\n

The list of transpiled SQL statements.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\twrite: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentity: bool = True,\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\t**opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe": {"fullname": "sqlglot.dataframe", "modulename": "sqlglot.dataframe", "kind": "module", "doc": "

PySpark DataFrame SQL Generator

\n\n

This is a drop-in replacement for the PySpark DataFrame API that will generate SQL instead of executing DataFrame operations directly. This, when combined with the transpiling support in SQLGlot, allows one to write PySpark DataFrame code and execute it on other engines like DuckDB, Presto, Spark, Snowflake, and BigQuery.

\n\n

Currently many of the common operations are covered and more functionality will be added over time. Please open an issue or PR with your feedback or contribution to help influence what should be prioritized next and make sure your use case is properly supported.

\n\n

How to use

\n\n

Instructions

\n\n
    \n
  • Install SQLGlot and that is all that is required to just generate SQL. The examples show generating SQL and then executing that SQL on a specific engine and that will require that engine's client library.
    • \n
  • Find/replace all from pyspark.sql with from sqlglot.dataframe.
    • \n
  • Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('<table_name>', <column_structure>).\n
      \n
    • The column structure can be defined the following ways:\n
        \n
      • Dictionary where the keys are column names and values are string of the Spark SQL type name.\n
          \n
        • Ex: {'cola': 'string', 'colb': 'int'}
          • \n
        • \n
      • PySpark DataFrame StructType similar to when using createDataFrame.\n
          \n
        • Ex: StructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
          • \n
        • \n
      • A string of names and types similar to what is supported in createDataFrame.\n
          \n
        • Ex: cola: STRING, colb: INT
          • \n
        • \n
      • [Not Recommended] A list of string column names without type.\n
          \n
        • Ex: ['cola', 'colb']
          • \n
        • The lack of types may limit functionality in future releases.
          • \n
        • \n
      • \n
    • See Registering Custom Schema for information on how to skip this step if the information is stored externally.
      • \n
    • \n
  • Add .sql(pretty=True) to your final DataFrame command to return a list of sql statements to run that command.\n
      \n
    • In most cases a single SQL statement is returned. Currently the only exception is when caching DataFrames which isn't supported in other dialects.
      • \n
    • Spark is the default output dialect. See dialects for a full list of dialects.
      • \n
    • Ex: .sql(pretty=True, dialect='bigquery')
      • \n
    • \n
\n\n

Examples

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\n\nsqlglot.schema.add_table('employee', {\n  'employee_id': 'INT',\n  'fname': 'STRING',\n  'lname': 'STRING',\n  'age': 'INT',\n})  # Register the table structure prior to reading from the table\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))  # Spark will be the dialect used by default\n
\n
\n\n
SELECT\n  `employee`.`age` AS `age`,\n  COUNT(DISTINCT `employee`.`employee_id`) AS `num_employees`\nFROM `employee` AS `employee`\nGROUP BY\n  `employee`.`age`\n
\n\n

Registering Custom Schema Class

\n\n

The step of adding sqlglot.schema.add_table can be skipped if you have the column structure stored externally like in a file or from an external metadata table. This can be done by writing a class that implements the sqlglot.schema.Schema abstract class and then assigning that class to sqlglot.schema.

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\nfrom sqlglot.schema import Schema\n\n\nclass ExternalSchema(Schema):\n  ...\n\nsqlglot.schema = ExternalSchema()\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))\n
\n
\n\n

Example Implementations

\n\n

Bigquery

\n\n
\n
from google.cloud import bigquery\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\nclient = bigquery.Client()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="bigquery")\n)\n\nresult = None\nfor sql in sql_statements:\n  result = client.query(sql)\n\nassert result is not None\nfor row in client.query(result):\n    print(f"Age: {row['age']}, Num Employees: {row['num_employees']}")\n
\n
\n\n

Snowflake

\n\n
\n
import os\n\nimport snowflake.connector\nfrom sqlglot.dataframe.session import SparkSession\nfrom sqlglot.dataframe import types\nfrom sqlglot.dataframe import functions as F\n\nctx = snowflake.connector.connect(\n    user=os.environ["SNOWFLAKE_USER"],\n    password=os.environ["SNOWFLAKE_PASS"],\n    account=os.environ["SNOWFLAKE_ACCOUNT"]\n)\ncs = ctx.cursor()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("lname")).alias("num_employees"))\n    .sql(dialect="snowflake")\n)\n\ntry:\n    for sql in sql_statements:\n        cs.execute(sql)\n    results = cs.fetchall()\n    for row in results:\n        print(f"Age: {row[0]}, Num Employees: {row[1]}")\nfinally:\n    cs.close()\nctx.close()\n
\n
\n\n

Spark

\n\n
\n
from pyspark.sql.session import SparkSession as PySparkSession\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="spark")\n)\n\npyspark = PySparkSession.builder.master("local[*]").getOrCreate()\n\ndf = None\nfor sql in sql_statements:\n    df = pyspark.sql(sql)\n\nassert df is not None\ndf.show()\n
\n
\n\n

Unsupportable Operations

\n\n

Any operation that lacks a way to represent it in SQL cannot be supported by this tool. An example of this would be rdd operations. Since the DataFrame API though is mostly modeled around SQL concepts most operations can be supported.

\n"}, "sqlglot.dataframe.sql": {"fullname": "sqlglot.dataframe.sql", "modulename": "sqlglot.dataframe.sql", "kind": "module", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession": {"fullname": "sqlglot.dataframe.sql.SparkSession", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession.table": {"fullname": "sqlglot.dataframe.sql.SparkSession.table", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"fullname": "sqlglot.dataframe.sql.SparkSession.createDataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.createDataFrame", "kind": "function", "doc": "

\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='139944835126832'>], List[<MagicMock id='139944835126832'>], Tuple]],\tschema: Optional[<MagicMock id='139944834452688'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "

\n", "signature": "(self, sqlQuery: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame": {"fullname": "sqlglot.dataframe.sql.DataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrame.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrame.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.__init__", "kind": "function", "doc": "

\n", "signature": "(\tspark: <MagicMock id='139944839647760'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='139944839539024'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "

\n", "signature": "(self, dialect='spark', optimize=True, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.copy": {"fullname": "sqlglot.dataframe.sql.DataFrame.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.select": {"fullname": "sqlglot.dataframe.sql.DataFrame.select", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.select", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.alias": {"fullname": "sqlglot.dataframe.sql.DataFrame.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.where": {"fullname": "sqlglot.dataframe.sql.DataFrame.where", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.where", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.filter": {"fullname": "sqlglot.dataframe.sql.DataFrame.filter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.filter", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.groupBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.groupBy", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.group.GroupedData:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.agg": {"fullname": "sqlglot.dataframe.sql.DataFrame.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.agg", "kind": "function", "doc": "

\n", "signature": "(self, *exprs, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.join": {"fullname": "sqlglot.dataframe.sql.DataFrame.join", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.join", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother_df: sqlglot.dataframe.sql.dataframe.DataFrame,\ton: Union[str, List[str], sqlglot.dataframe.sql.column.Column, List[sqlglot.dataframe.sql.column.Column]],\thow: str = 'inner',\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.orderBy", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.sort": {"fullname": "sqlglot.dataframe.sql.DataFrame.sort", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sort", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.union": {"fullname": "sqlglot.dataframe.sql.DataFrame.union", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.union", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionByName", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionByName", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame,\tallowMissingColumns: bool = False):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersect": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersect", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersect", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersectAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersectAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.exceptAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.exceptAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.distinct": {"fullname": "sqlglot.dataframe.sql.DataFrame.distinct", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.distinct", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropDuplicates", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropDuplicates", "kind": "function", "doc": "

\n", "signature": "(self, subset: Optional[List[str]] = None):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropna": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropna", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.fillna": {"fullname": "sqlglot.dataframe.sql.DataFrame.fillna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.fillna", "kind": "function", "doc": "

Functionality Difference: If you provide a value to replace a null and that type conflicts\nwith the type of the column then PySpark will just ignore your replacement.\nThis will try to cast them to be the same in some cases. So they won't always match.\nBest to not mix types so make sure replacement is the same type as the column

\n\n

Possibility for improvement: Use typeof function to get the type of the column\nand check if it matches the type of the value provided. If not then make it null.

\n", "signature": "(\tself,\tvalue: <MagicMock id='139944834944544'>,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.replace": {"fullname": "sqlglot.dataframe.sql.DataFrame.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[Collection[<MagicMock id='139944835455424'>], <MagicMock id='139944835455424'>, NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumn", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumn", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolName: str,\tcol: sqlglot.dataframe.sql.column.Column) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumnRenamed", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumnRenamed", "kind": "function", "doc": "

\n", "signature": "(self, existing: str, new: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.drop": {"fullname": "sqlglot.dataframe.sql.DataFrame.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.limit": {"fullname": "sqlglot.dataframe.sql.DataFrame.limit", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.limit", "kind": "function", "doc": "

\n", "signature": "(self, num: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.hint": {"fullname": "sqlglot.dataframe.sql.DataFrame.hint", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.hint", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*parameters: Union[str, int, NoneType]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.repartition": {"fullname": "sqlglot.dataframe.sql.DataFrame.repartition", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.repartition", "kind": "function", "doc": "

\n", "signature": "(\tself,\tnumPartitions: Union[int, <MagicMock id='139944833861712'>],\t*cols: <MagicMock id='139944833506496'>) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"fullname": "sqlglot.dataframe.sql.DataFrame.coalesce", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.coalesce", "kind": "function", "doc": "

\n", "signature": "(self, numPartitions: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.cache": {"fullname": "sqlglot.dataframe.sql.DataFrame.cache", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.cache", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.persist": {"fullname": "sqlglot.dataframe.sql.DataFrame.persist", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.persist", "kind": "function", "doc": "

Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html

\n", "signature": "(\tself,\tstorageLevel: str = 'MEMORY_AND_DISK_SER') -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData": {"fullname": "sqlglot.dataframe.sql.GroupedData", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.GroupedData.__init__": {"fullname": "sqlglot.dataframe.sql.GroupedData.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tgroup_by_cols: List[sqlglot.dataframe.sql.column.Column],\tlast_op: sqlglot.dataframe.sql.operations.Operation)"}, "sqlglot.dataframe.sql.GroupedData.agg": {"fullname": "sqlglot.dataframe.sql.GroupedData.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.agg", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*exprs: Union[sqlglot.dataframe.sql.column.Column, Dict[str, str]]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.count": {"fullname": "sqlglot.dataframe.sql.GroupedData.count", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.count", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.mean": {"fullname": "sqlglot.dataframe.sql.GroupedData.mean", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.mean", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.avg": {"fullname": "sqlglot.dataframe.sql.GroupedData.avg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.avg", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.max": {"fullname": "sqlglot.dataframe.sql.GroupedData.max", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.max", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.min": {"fullname": "sqlglot.dataframe.sql.GroupedData.min", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.min", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.sum": {"fullname": "sqlglot.dataframe.sql.GroupedData.sum", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.sum", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.pivot": {"fullname": "sqlglot.dataframe.sql.GroupedData.pivot", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.pivot", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column": {"fullname": "sqlglot.dataframe.sql.Column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Column.__init__": {"fullname": "sqlglot.dataframe.sql.Column.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression: Union[<MagicMock id='139944837503088'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='139944833635072'>, sqlglot.expressions.Expression, NoneType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_cols": {"fullname": "sqlglot.dataframe.sql.Column.ensure_cols", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_cols", "kind": "function", "doc": "

\n", "signature": "(\tcls,\targs: List[Union[<MagicMock id='139944833625840'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.column.Column]:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"fullname": "sqlglot.dataframe.sql.Column.invoke_anonymous_function", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_anonymous_function", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='139944833889472'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='139944833831248'>]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"fullname": "sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='139944833798480'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='139944833757104'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='139944833997728'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "

\n", "signature": "(self, klass: Callable, **kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_literal": {"fullname": "sqlglot.dataframe.sql.Column.ensure_literal", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_literal", "kind": "function", "doc": "

\n", "signature": "(cls, value) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.copy": {"fullname": "sqlglot.dataframe.sql.Column.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.copy", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.set_table_name": {"fullname": "sqlglot.dataframe.sql.Column.set_table_name", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.set_table_name", "kind": "function", "doc": "

\n", "signature": "(self, table_name: str, copy=False) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.sql": {"fullname": "sqlglot.dataframe.sql.Column.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.alias": {"fullname": "sqlglot.dataframe.sql.Column.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc": {"fullname": "sqlglot.dataframe.sql.Column.asc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc": {"fullname": "sqlglot.dataframe.sql.Column.desc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.when": {"fullname": "sqlglot.dataframe.sql.Column.when", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: sqlglot.dataframe.sql.column.Column,\tvalue: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.otherwise": {"fullname": "sqlglot.dataframe.sql.Column.otherwise", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.otherwise", "kind": "function", "doc": "

\n", "signature": "(self, value: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNull": {"fullname": "sqlglot.dataframe.sql.Column.isNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNotNull": {"fullname": "sqlglot.dataframe.sql.Column.isNotNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNotNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.cast": {"fullname": "sqlglot.dataframe.sql.Column.cast", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.cast", "kind": "function", "doc": "

Functionality Difference: PySpark cast accepts a datatype instance of the datatype class\nSqlglot doesn't currently replicate this class so it only accepts a string

\n", "signature": "(self, dataType: Union[str, sqlglot.dataframe.sql.types.DataType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.startswith": {"fullname": "sqlglot.dataframe.sql.Column.startswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.startswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.endswith": {"fullname": "sqlglot.dataframe.sql.Column.endswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.endswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.rlike": {"fullname": "sqlglot.dataframe.sql.Column.rlike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.rlike", "kind": "function", "doc": "

\n", "signature": "(self, regexp: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.like": {"fullname": "sqlglot.dataframe.sql.Column.like", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.like", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ilike": {"fullname": "sqlglot.dataframe.sql.Column.ilike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ilike", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.substr": {"fullname": "sqlglot.dataframe.sql.Column.substr", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.substr", "kind": "function", "doc": "

\n", "signature": "(\tself,\tstartPos: Union[int, sqlglot.dataframe.sql.column.Column],\tlength: Union[int, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isin": {"fullname": "sqlglot.dataframe.sql.Column.isin", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='139944834167040'>, Iterable[<MagicMock id='139944834167040'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlowerBound: <MagicMock id='139944834268368'>,\tupperBound: <MagicMock id='139944834339296'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "

\n", "signature": "(\tself,\twindow: <MagicMock id='139944834396896'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.__init__", "kind": "function", "doc": "

\n", "signature": "(df: sqlglot.dataframe.sql.dataframe.DataFrame)"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.fill", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.fill", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[int, bool, float, str, Dict[str, Any]],\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[str, List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window": {"fullname": "sqlglot.dataframe.sql.Window", "modulename": "sqlglot.dataframe.sql", "qualname": "Window", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Window.partitionBy": {"fullname": "sqlglot.dataframe.sql.Window.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='139944831329920'>, List[<MagicMock id='139944831329920'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='139944831472000'>, List[<MagicMock id='139944831472000'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rangeBetween": {"fullname": "sqlglot.dataframe.sql.Window.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec": {"fullname": "sqlglot.dataframe.sql.WindowSpec", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"fullname": "sqlglot.dataframe.sql.WindowSpec.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression = (WINDOW ))"}, "sqlglot.dataframe.sql.WindowSpec.copy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.copy", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.sql": {"fullname": "sqlglot.dataframe.sql.WindowSpec.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='139944831606480'>, List[<MagicMock id='139944831606480'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='139944831672544'>, List[<MagicMock id='139944831672544'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameReader": {"fullname": "sqlglot.dataframe.sql.DataFrameReader", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.__init__", "kind": "function", "doc": "

\n", "signature": "(spark: sqlglot.dataframe.sql.session.SparkSession)"}, "sqlglot.dataframe.sql.DataFrameReader.table": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.table", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tspark: Optional[sqlglot.dataframe.sql.session.SparkSession] = None,\tmode: Optional[str] = None,\tby_name: bool = False)"}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.mode", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.mode", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsaveMode: Optional[str]) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.insertInto", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.insertInto", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttableName: str,\toverwrite: Optional[bool] = None) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.saveAsTable", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\tformat: Optional[str] = None,\tmode: Optional[str] = None):", "funcdef": "def"}, "sqlglot.dialects": {"fullname": "sqlglot.dialects", "modulename": "sqlglot.dialects", "kind": "module", "doc": "

Dialects

\n\n

While there is a SQL standard, most SQL engines support a variation of that standard. This makes it difficult\nto write portable SQL code. SQLGlot bridges all the different variations, called \"dialects\", with an extensible\nSQL transpilation framework.

\n\n

The base sqlglot.dialects.dialect.Dialect class implements a generic dialect that aims to be as universal as possible.

\n\n

Each SQL variation has its own Dialect subclass, extending the corresponding Tokenizer, Parser and Generator\nclasses as needed.

\n\n

Implementing a custom Dialect

\n\n

Consider the following example:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n
\n
\n\n

This is a typical example of adding a new dialect implementation in SQLGlot: we specify its identifier and string\ndelimiters, as well as what tokens it uses for its types and how they're associated with SQLGlot types. Since\nthe Expression classes are common for each dialect supported in SQLGlot, we may also need to override the generation\nlogic for some expressions; this is usually done by adding new entries to the TRANSFORMS mapping.

\n\n
\n"}, "sqlglot.dialects.bigquery": {"fullname": "sqlglot.dialects.bigquery", "modulename": "sqlglot.dialects.bigquery", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.bigquery.BigQuery": {"fullname": "sqlglot.dialects.bigquery.BigQuery", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Tokenizer", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Parser", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.array_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.except_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse": {"fullname": "sqlglot.dialects.clickhouse", "modulename": "sqlglot.dialects.clickhouse", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.clickhouse.ClickHouse": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Parser", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.after_limit_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.parameterizedagg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.dialects.databricks": {"fullname": "sqlglot.dialects.databricks", "modulename": "sqlglot.dialects.databricks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.databricks.Databricks": {"fullname": "sqlglot.dialects.databricks.Databricks", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark.Spark"}, "sqlglot.dialects.databricks.Databricks.Parser": {"fullname": "sqlglot.dialects.databricks.Databricks.Parser", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Parser"}, "sqlglot.dialects.databricks.Databricks.Generator": {"fullname": "sqlglot.dialects.databricks.Databricks.Generator", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Generator"}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"fullname": "sqlglot.dialects.databricks.Databricks.Tokenizer", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark2.Spark2.Tokenizer"}, "sqlglot.dialects.dialect": {"fullname": "sqlglot.dialects.dialect", "modulename": "sqlglot.dialects.dialect", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialects": {"fullname": "sqlglot.dialects.dialect.Dialects", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects", "kind": "class", "doc": "

An enumeration.

\n", "bases": "builtins.str, enum.Enum"}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"fullname": "sqlglot.dialects.dialect.Dialects.DIALECT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DIALECT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DIALECT: ''>"}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"fullname": "sqlglot.dialects.dialect.Dialects.BIGQUERY", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.BIGQUERY", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.BIGQUERY: 'bigquery'>"}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"fullname": "sqlglot.dialects.dialect.Dialects.CLICKHOUSE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.CLICKHOUSE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.CLICKHOUSE: 'clickhouse'>"}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"fullname": "sqlglot.dialects.dialect.Dialects.DUCKDB", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DUCKDB", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DUCKDB: 'duckdb'>"}, "sqlglot.dialects.dialect.Dialects.HIVE": {"fullname": "sqlglot.dialects.dialect.Dialects.HIVE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.HIVE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.HIVE: 'hive'>"}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.MYSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.MYSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.MYSQL: 'mysql'>"}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"fullname": "sqlglot.dialects.dialect.Dialects.ORACLE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.ORACLE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.ORACLE: 'oracle'>"}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"fullname": "sqlglot.dialects.dialect.Dialects.POSTGRES", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.POSTGRES", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.POSTGRES: 'postgres'>"}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"fullname": "sqlglot.dialects.dialect.Dialects.PRESTO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.PRESTO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.PRESTO: 'presto'>"}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"fullname": "sqlglot.dialects.dialect.Dialects.REDSHIFT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.REDSHIFT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.REDSHIFT: 'redshift'>"}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"fullname": "sqlglot.dialects.dialect.Dialects.SNOWFLAKE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SNOWFLAKE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SNOWFLAKE: 'snowflake'>"}, "sqlglot.dialects.dialect.Dialects.SPARK": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK2", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK2", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK2: 'spark2'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SQLITE: 'sqlite'>"}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"fullname": "sqlglot.dialects.dialect.Dialects.STARROCKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.STARROCKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.STARROCKS: 'starrocks'>"}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"fullname": "sqlglot.dialects.dialect.Dialects.TABLEAU", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TABLEAU", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TABLEAU: 'tableau'>"}, "sqlglot.dialects.dialect.Dialects.TRINO": {"fullname": "sqlglot.dialects.dialect.Dialects.TRINO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TRINO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TRINO: 'trino'>"}, "sqlglot.dialects.dialect.Dialects.TSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.TSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TSQL: 'tsql'>"}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"fullname": "sqlglot.dialects.dialect.Dialects.DATABRICKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DATABRICKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DATABRICKS: 'databricks'>"}, "sqlglot.dialects.dialect.Dialects.DRILL": {"fullname": "sqlglot.dialects.dialect.Dialects.DRILL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DRILL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DRILL: 'drill'>"}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"fullname": "sqlglot.dialects.dialect.Dialects.TERADATA", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TERADATA", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TERADATA: 'teradata'>"}, "sqlglot.dialects.dialect.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"fullname": "sqlglot.dialects.dialect.Dialect.get_or_raise", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.get_or_raise", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> Type[sqlglot.dialects.dialect.Dialect]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.format_time": {"fullname": "sqlglot.dialects.dialect.Dialect.format_time", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.format_time", "kind": "function", "doc": "

\n", "signature": "(\tcls,\texpression: Union[str, sqlglot.expressions.Expression, NoneType]) -> Optional[sqlglot.expressions.Expression]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse": {"fullname": "sqlglot.dialects.dialect.Dialect.parse", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse_into": {"fullname": "sqlglot.dialects.dialect.Dialect.parse_into", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse_into", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression_type: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\tsql: str,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generate": {"fullname": "sqlglot.dialects.dialect.Dialect.generate", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generate", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\t**opts) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.transpile": {"fullname": "sqlglot.dialects.dialect.Dialect.transpile", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.transpile", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.tokenize": {"fullname": "sqlglot.dialects.dialect.Dialect.tokenize", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.tokenize", "kind": "function", "doc": "

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parser": {"fullname": "sqlglot.dialects.dialect.Dialect.parser", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parser", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.parser.Parser:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generator": {"fullname": "sqlglot.dialects.dialect.Dialect.generator", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generator", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.generator.Generator:", "funcdef": "def"}, "sqlglot.dialects.dialect.rename_func": {"fullname": "sqlglot.dialects.dialect.rename_func", "modulename": "sqlglot.dialects.dialect", "qualname": "rename_func", "kind": "function", "doc": "

\n", "signature": "(\tname: str) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"fullname": "sqlglot.dialects.dialect.approx_count_distinct_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "approx_count_distinct_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ApproxDistinct) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.if_sql": {"fullname": "sqlglot.dialects.dialect.if_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "if_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtract | sqlglot.expressions.JSONBExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_scalar_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtractScalar | sqlglot.expressions.JSONBExtractScalar) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.inline_array_sql": {"fullname": "sqlglot.dialects.dialect.inline_array_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "inline_array_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_ilike_sql": {"fullname": "sqlglot.dialects.dialect.no_ilike_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_ilike_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"fullname": "sqlglot.dialects.dialect.no_paren_current_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_paren_current_date_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"fullname": "sqlglot.dialects.dialect.no_recursive_cte_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_recursive_cte_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"fullname": "sqlglot.dialects.dialect.no_safe_divide_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_safe_divide_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.SafeDivide) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_tablesample_sql": {"fullname": "sqlglot.dialects.dialect.no_tablesample_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_pivot_sql": {"fullname": "sqlglot.dialects.dialect.no_pivot_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_pivot_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_trycast_sql": {"fullname": "sqlglot.dialects.dialect.no_trycast_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_trycast_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_properties_sql": {"fullname": "sqlglot.dialects.dialect.no_properties_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_properties_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"fullname": "sqlglot.dialects.dialect.no_comment_column_constraint_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_comment_column_constraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CommentColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_position_sql": {"fullname": "sqlglot.dialects.dialect.str_position_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_position_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.struct_extract_sql": {"fullname": "sqlglot.dialects.dialect.struct_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "struct_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StructExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.var_map_sql": {"fullname": "sqlglot.dialects.dialect.var_map_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "var_map_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Map | sqlglot.expressions.VarMap,\tmap_func_name: str = 'MAP') -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.format_time_lambda": {"fullname": "sqlglot.dialects.dialect.format_time_lambda", "modulename": "sqlglot.dialects.dialect", "qualname": "format_time_lambda", "kind": "function", "doc": "

Helper used for time expressions.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
    • \n
  • dialect: target sql dialect.
    • \n
  • default: the default format, True being time.
    • \n
\n\n
Returns:
\n\n
\n

A callable that can be used to return the appropriately formatted time expression.

\n
\n", "signature": "(\texp_class: Type[~E],\tdialect: str,\tdefault: Union[bool, str, NoneType] = None) -> Callable[[List], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"fullname": "sqlglot.dialects.dialect.create_with_partitions_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "create_with_partitions_sql", "kind": "function", "doc": "

In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the\nPARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding\ncolumns are removed from the create statement.

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta": {"fullname": "sqlglot.dialects.dialect.parse_date_delta", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta", "kind": "function", "doc": "

\n", "signature": "(\texp_class: Type[~E],\tunit_mapping: Optional[Dict[str, str]] = None) -> Callable[[List], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"fullname": "sqlglot.dialects.dialect.parse_date_delta_with_interval", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta_with_interval", "kind": "function", "doc": "

\n", "signature": "(expression_class: Type[~E]) -> Callable[[List], Optional[~E]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.date_trunc_to_time": {"fullname": "sqlglot.dialects.dialect.date_trunc_to_time", "modulename": "sqlglot.dialects.dialect", "qualname": "date_trunc_to_time", "kind": "function", "doc": "

\n", "signature": "(\targs: List) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"fullname": "sqlglot.dialects.dialect.timestamptrunc_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestamptrunc_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimestampTrunc) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.locate_to_strposition": {"fullname": "sqlglot.dialects.dialect.locate_to_strposition", "modulename": "sqlglot.dialects.dialect", "qualname": "locate_to_strposition", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"fullname": "sqlglot.dialects.dialect.strposition_to_locate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "strposition_to_locate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestrtotime_sql": {"fullname": "sqlglot.dialects.dialect.timestrtotime_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestrtotime_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimeStrToTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.datestrtodate_sql": {"fullname": "sqlglot.dialects.dialect.datestrtodate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "datestrtodate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateStrToDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.min_or_least": {"fullname": "sqlglot.dialects.dialect.min_or_least", "modulename": "sqlglot.dialects.dialect", "qualname": "min_or_least", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Min) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.max_or_greatest": {"fullname": "sqlglot.dialects.dialect.max_or_greatest", "modulename": "sqlglot.dialects.dialect", "qualname": "max_or_greatest", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Max) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.count_if_to_sum": {"fullname": "sqlglot.dialects.dialect.count_if_to_sum", "modulename": "sqlglot.dialects.dialect", "qualname": "count_if_to_sum", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CountIf) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.trim_sql": {"fullname": "sqlglot.dialects.dialect.trim_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "trim_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_to_time_sql": {"fullname": "sqlglot.dialects.dialect.str_to_time_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_to_time_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"fullname": "sqlglot.dialects.dialect.ts_or_ds_to_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "ts_or_ds_to_date_sql", "kind": "function", "doc": "

\n", "signature": "(dialect: str) -> Callable:", "funcdef": "def"}, "sqlglot.dialects.dialect.pivot_column_names": {"fullname": "sqlglot.dialects.dialect.pivot_column_names", "modulename": "sqlglot.dialects.dialect", "qualname": "pivot_column_names", "kind": "function", "doc": "

\n", "signature": "(\taggregations: List[sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.drill.Drill": {"fullname": "sqlglot.dialects.drill.Drill", "modulename": "sqlglot.dialects.drill", "qualname": "Drill", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.drill.Drill.Tokenizer": {"fullname": "sqlglot.dialects.drill.Drill.Tokenizer", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.drill.Drill.Parser": {"fullname": "sqlglot.dialects.drill.Drill.Parser", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.drill.Drill.Generator": {"fullname": "sqlglot.dialects.drill.Drill.Generator", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"fullname": "sqlglot.dialects.drill.Drill.Generator.normalize_func", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.dialects.duckdb": {"fullname": "sqlglot.dialects.duckdb", "modulename": "sqlglot.dialects.duckdb", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.duckdb.DuckDB": {"fullname": "sqlglot.dialects.duckdb.DuckDB", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Tokenizer", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Parser", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.TableSample,\tseed_prefix: str = 'SEED',\tsep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.dialects.hive": {"fullname": "sqlglot.dialects.hive", "modulename": "sqlglot.dialects.hive", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.hive.Hive": {"fullname": "sqlglot.dialects.hive.Hive", "modulename": "sqlglot.dialects.hive", "qualname": "Hive", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.hive.Hive.Tokenizer": {"fullname": "sqlglot.dialects.hive.Hive.Tokenizer", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.hive.Hive.Parser": {"fullname": "sqlglot.dialects.hive.Hive.Parser", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.hive.Hive.Generator": {"fullname": "sqlglot.dialects.hive.Hive.Generator", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.arrayagg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ArrayAgg) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"fullname": "sqlglot.dialects.hive.Hive.Generator.with_properties", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.datatype_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"fullname": "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.after_having_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.mysql": {"fullname": "sqlglot.dialects.mysql", "modulename": "sqlglot.dialects.mysql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.mysql.MySQL": {"fullname": "sqlglot.dialects.mysql.MySQL", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"fullname": "sqlglot.dialects.mysql.MySQL.Tokenizer", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.mysql.MySQL.Parser": {"fullname": "sqlglot.dialects.mysql.MySQL.Parser", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.mysql.MySQL.Generator": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.show_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.show_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Show) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle": {"fullname": "sqlglot.dialects.oracle", "modulename": "sqlglot.dialects.oracle", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.oracle.Oracle": {"fullname": "sqlglot.dialects.oracle.Oracle", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.oracle.Oracle.Parser": {"fullname": "sqlglot.dialects.oracle.Oracle.Parser", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.oracle.Oracle.Generator": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.offset_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.column_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.xmltable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.XMLTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"fullname": "sqlglot.dialects.oracle.Oracle.Tokenizer", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres": {"fullname": "sqlglot.dialects.postgres", "modulename": "sqlglot.dialects.postgres", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.postgres.Postgres": {"fullname": "sqlglot.dialects.postgres.Postgres", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"fullname": "sqlglot.dialects.postgres.Postgres.Tokenizer", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres.Postgres.Parser": {"fullname": "sqlglot.dialects.postgres.Postgres.Parser", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.postgres.Postgres.Generator": {"fullname": "sqlglot.dialects.postgres.Postgres.Generator", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto": {"fullname": "sqlglot.dialects.presto", "modulename": "sqlglot.dialects.presto", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.presto.Presto": {"fullname": "sqlglot.dialects.presto.Presto", "modulename": "sqlglot.dialects.presto", "qualname": "Presto", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.presto.Presto.Tokenizer": {"fullname": "sqlglot.dialects.presto.Presto.Tokenizer", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.presto.Presto.Parser": {"fullname": "sqlglot.dialects.presto.Presto.Parser", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.presto.Presto.Generator": {"fullname": "sqlglot.dialects.presto.Presto.Generator", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.interval_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.transaction_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.generateseries_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.generateseries_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GenerateSeries) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift": {"fullname": "sqlglot.dialects.redshift", "modulename": "sqlglot.dialects.redshift", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.redshift.Redshift": {"fullname": "sqlglot.dialects.redshift.Redshift", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres"}, "sqlglot.dialects.redshift.Redshift.Parser": {"fullname": "sqlglot.dialects.redshift.Redshift.Parser", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Parser"}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"fullname": "sqlglot.dialects.redshift.Redshift.Tokenizer", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres.Tokenizer"}, "sqlglot.dialects.redshift.Redshift.Generator": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Generator"}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.values_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.values_sql", "kind": "function", "doc": "

Converts VALUES... expression into a series of unions.

\n\n

Note: If you have a lot of unions then this will result in a large number of recursive statements to\nevaluate the expression. You may need to increase sys.setrecursionlimit to run and it can also be\nvery slow.

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.with_properties", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.with_properties", "kind": "function", "doc": "

Redshift doesn't have WITH as part of their with_properties so we remove it

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.datatype_sql", "kind": "function", "doc": "

Redshift converts the TEXT data type to VARCHAR(255) by default when people more generally mean\nVARCHAR of max length which is VARCHAR(max) in Redshift. Therefore if we get a TEXT data type\nwithout precision we convert it to VARCHAR(max) and if it does have precision then we just convert\nTEXT to VARCHAR.

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake": {"fullname": "sqlglot.dialects.snowflake", "modulename": "sqlglot.dialects.snowflake", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.snowflake.Snowflake": {"fullname": "sqlglot.dialects.snowflake.Snowflake", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Parser", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Tokenizer", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.except_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.settag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SetTag) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark": {"fullname": "sqlglot.dialects.spark", "modulename": "sqlglot.dialects.spark", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark.Spark": {"fullname": "sqlglot.dialects.spark.Spark", "modulename": "sqlglot.dialects.spark", "qualname": "Spark", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark2.Spark2"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Parser"}, "sqlglot.dialects.spark.Spark.Generator": {"fullname": "sqlglot.dialects.spark.Spark.Generator", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Generator"}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"fullname": "sqlglot.dialects.spark.Spark.Generator.datediff_sql", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2": {"fullname": "sqlglot.dialects.spark2", "modulename": "sqlglot.dialects.spark2", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark2.Spark2": {"fullname": "sqlglot.dialects.spark2.Spark2", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive"}, "sqlglot.dialects.spark2.Spark2.Parser": {"fullname": "sqlglot.dialects.spark2.Spark2.Parser", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Parser"}, "sqlglot.dialects.spark2.Spark2.Generator": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Generator"}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.cast_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"fullname": "sqlglot.dialects.spark2.Spark2.Tokenizer", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive.Tokenizer"}, "sqlglot.dialects.sqlite": {"fullname": "sqlglot.dialects.sqlite", "modulename": "sqlglot.dialects.sqlite", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.sqlite.SQLite": {"fullname": "sqlglot.dialects.sqlite.SQLite", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"fullname": "sqlglot.dialects.sqlite.SQLite.Tokenizer", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.sqlite.SQLite.Parser": {"fullname": "sqlglot.dialects.sqlite.SQLite.Parser", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.sqlite.SQLite.Generator": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.groupconcat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GroupConcat) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.least_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.least_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Least) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.dialects.starrocks": {"fullname": "sqlglot.dialects.starrocks", "modulename": "sqlglot.dialects.starrocks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.starrocks.StarRocks": {"fullname": "sqlglot.dialects.starrocks.StarRocks", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.mysql.MySQL"}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Parser", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Parser"}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Generator", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Generator"}, "sqlglot.dialects.tableau": {"fullname": "sqlglot.dialects.tableau", "modulename": "sqlglot.dialects.tableau", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tableau.Tableau": {"fullname": "sqlglot.dialects.tableau.Tableau", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tableau.Tableau.Generator": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.if_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.coalesce_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Coalesce) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.count_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.count_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Count) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Parser": {"fullname": "sqlglot.dialects.tableau.Tableau.Parser", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata": {"fullname": "sqlglot.dialects.teradata", "modulename": "sqlglot.dialects.teradata", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.teradata.Teradata": {"fullname": "sqlglot.dialects.teradata.Teradata", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"fullname": "sqlglot.dialects.teradata.Teradata.Tokenizer", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.teradata.Teradata.Parser": {"fullname": "sqlglot.dialects.teradata.Teradata.Parser", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata.Teradata.Generator": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.partitionedbyproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PartitionedByProperty) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.update_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.mod_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.rangen_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RangeN) -> str:", "funcdef": "def"}, "sqlglot.dialects.trino": {"fullname": "sqlglot.dialects.trino", "modulename": "sqlglot.dialects.trino", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.trino.Trino": {"fullname": "sqlglot.dialects.trino.Trino", "modulename": "sqlglot.dialects.trino", "qualname": "Trino", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto"}, "sqlglot.dialects.trino.Trino.Generator": {"fullname": "sqlglot.dialects.trino.Trino.Generator", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.presto.Presto.Generator"}, "sqlglot.dialects.trino.Trino.Tokenizer": {"fullname": "sqlglot.dialects.trino.Trino.Tokenizer", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto.Tokenizer"}, "sqlglot.dialects.tsql": {"fullname": "sqlglot.dialects.tsql", "modulename": "sqlglot.dialects.tsql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"fullname": "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "generate_date_delta_with_unit_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateAdd | sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL": {"fullname": "sqlglot.dialects.tsql.TSQL", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"fullname": "sqlglot.dialects.tsql.TSQL.Tokenizer", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.tsql.TSQL.Parser": {"fullname": "sqlglot.dialects.tsql.TSQL.Parser", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.tsql.TSQL.Generator": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.offset_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.systemtime_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SystemTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.returnsproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ReturnsProperty) -> str:", "funcdef": "def"}, "sqlglot.diff": {"fullname": "sqlglot.diff", "modulename": "sqlglot.diff", "kind": "module", "doc": "

Semantic Diff for SQL

\n\n

by Iaroslav Zeigerman

\n\n

Motivation

\n\n

Software is constantly changing and evolving, and identifying what has changed and reviewing those changes is an integral part of the development process. SQL code is no exception to this.

\n\n

Text-based diff tools such as git diff, when applied to a code base, have certain limitations. First, they can only detect insertions and deletions, not movements or updates of individual pieces of code. Second, such tools can only detect changes between lines of text, which is too coarse for something as granular and detailed as source code. Additionally, the outcome of such a diff is dependent on the underlying code formatting, and yields different results if the formatting should change.

\n\n

Consider the following diff generated by Git:

\n\n

\"Git

\n\n

Semantically the query hasn\u2019t changed. The two arguments b and c have been swapped (moved), posing no impact on the output of the query. Yet Git replaced the whole affected expression alongside a bulk of unrelated elements.

\n\n

The alternative to text-based diffing is to compare Abstract Syntax Trees (AST) instead. The main advantage of ASTs are that they are a direct product of code parsing, which represents the underlying code structure at any desired level of granularity. Comparing ASTs may yield extremely precise diffs; changes such as code movements and updates can also be detected. Even more importantly, this approach facilitates additional use cases beyond eyeballing two versions of source code side by side.

\n\n

The use cases I had in mind for SQL when I decided to embark on this journey of semantic diffing were the following:

\n\n
    \n
  • Query similarity score. Identifying which parts the two queries have in common to automatically suggest opportunities for consolidation, creation of intermediate/staging tables, and so on.
    • \n
  • Differentiating between cosmetic / structural changes and functional ones. For example when a nested query is refactored into a common table expression (CTE), this kind of change doesn\u2019t have any functional impact on either a query or its outcome.
    • \n
  • Automatic suggestions about the need to retroactively backfill data. This is especially important for pipelines that populate very large tables for which restatement is a runtime-intensive procedure. The ability to discern between simple code movements and actual modifications can help assess the impact of a change and make suggestions accordingly.
    • \n
\n\n

The implementation discussed in this post is now a part of the SQLGlot library. You can find a complete source code in the diff.py module. The choice of SQLglot was an obvious one due to its simple but powerful API, lack of external dependencies and, more importantly, extensive list of supported SQL dialects.

\n\n

The Search for a Solution

\n\n

When it comes to any diffing tool (not just a semantic one), the primary challenge is to match as many elements of compared entities as possible. Once such a set of matching elements is available, deriving a sequence of changes becomes an easy task.

\n\n

If our elements have unique identifiers associated with them (for example, an element\u2019s ID in DOM), the matching problem is trivial. However, the SQL syntax trees that we are comparing have neither unique keys nor object identifiers that can be used for the purposes of matching. So, how do we suppose to find pairs of nodes that are related?

\n\n

To better illustrate the problem, consider comparing the following SQL expressions: SELECT a + b + c, d, e and SELECT a - b + c, e, f. Matching individual nodes from respective syntax trees can be visualized as follows:

\n\n

\"Figure\nFigure 1: Example of node matching for two SQL expression trees.

\n\n

By looking at the figure of node matching for two SQL expression trees above, we conclude that the following changes should be captured by our solution:

\n\n
    \n
  • Inserted nodes: Sub and f. These are the nodes from the target AST which do not have a matching node in the source AST.
    • \n
  • Removed nodes: Add and d. These are the nodes from the source AST which do not have a counterpart in the target AST.
    • \n
  • Remaining nodes must be identified as unchanged.
    • \n
\n\n

It should be clear at this point that if we manage to match nodes in the source tree with their counterparts in the target tree, then computing the diff becomes a trivial matter.

\n\n

Na\u00efve Brute-Force

\n\n

The na\u00efve solution would be to try all different permutations of node pair combinations, and see which set of pairs performs the best based on some type of heuristics. The runtime cost of such a solution quickly reaches the escape velocity; if both trees had only 10 nodes each, the number of such sets would approximately be 10! ^ 2 = 3.6M ^ 2 ~= 13 * 10^12. This is a very bad case of factorial complexity (to be precise, it\u2019s actually much worse - O(n! ^ 2) - but I couldn\u2019t come up with a name for it), so there is little need to explore this approach any further.

\n\n

Myers Algorithm

\n\n

After the na\u00efve approach was proven to be infeasible, the next question I asked myself was \u201chow does git diff work?\u201d. This question led me to discover the Myers diff algorithm [1]. This algorithm has been designed to compare sequences of strings. At its core, it\u2019s looking for the shortest path on a graph of possible edits that transform the first sequence into the second one, while heavily rewarding those paths that lead to longest subsequences of unchanged elements. There\u2019s a lot of material out there describing this algorithm in greater detail. I found James Coglan\u2019s series of blog posts to be the most comprehensive.

\n\n

Therefore, I had this \u201cbrilliant\u201d (actually not) idea to transform trees into sequences by traversing them in topological order, and then applying the Myers algorithm on resulting sequences while using a custom heuristics when checking the equality of two nodes. Unsurprisingly, comparing sequences of strings is quite different from comparing hierarchical tree structures, and by flattening trees into sequences, we lose a lot of relevant context. This resulted in a terrible performance of this algorithm on ASTs. It often matched completely unrelated nodes, even when the two trees were mostly the same, and produced extremely inaccurate lists of changes overall. After playing around with it a little and tweaking my equality heuristics to improve accuracy, I ultimately scrapped the whole implementation and went back to the drawing board.

\n\n

Change Distiller

\n\n

The algorithm I settled on at the end was Change Distiller, created by Fluri et al. [2], which in turn is an improvement over the core idea described by Chawathe et al. [3].

\n\n

The algorithm consists of two high-level steps:

\n\n
    \n
  1. Finding appropriate matchings between pairs of nodes that are part of compared ASTs. Identifying what is meant by \u201cappropriate\u201d matching is also a part of this step.
    2. \n
  2. Generating the so-called \u201cedit script\u201d from the matching set built in the 1st step. The edit script is a sequence of edit operations (for example, insert, remove, update, etc.) on individual tree nodes, such that when applied as transformations on the source AST, it eventually becomes the target AST. In general, the shorter the sequence, the better. The length of the edit script can be used to compare the performance of different algorithms, though this is not the only metric that matters.
    3. \n
\n\n

The rest of this section is dedicated to the Python implementation of the steps above using the AST implementation provided by the SQLGlot library.

\n\n

Building the Matching Set

\n\n

Matching Leaves

\n\n

We begin composing the matching set by matching the leaf nodes. Leaf nodes are the nodes that do not have any children nodes (such as literals, identifiers, etc.). In order to match them, we gather all the leaf nodes from the source tree and generate a cartesian product with all the leaves from the target tree, while comparing pairs created this way and assigning them a similarity score. During this stage, we also exclude pairs that don\u2019t pass basic matching criteria. Then, we pick pairs that scored the highest while making sure that each node is matched no more than once.

\n\n

Using the example provided at the beginning of the post, the process of building an initial set of candidate matchings can be seen on Figure 2.

\n\n

\"Figure\nFigure 2: Building a set of candidate matchings between leaf nodes. The third item in each triplet represents a similarity score between two nodes.

\n\n

First, let\u2019s analyze the similarity score. Then, we\u2019ll discuss matching criteria.

\n\n

The similarity score proposed by Fluri et al. [2] is a dice coefficient applied to bigrams of respective node values. A bigram is a sequence of two adjacent elements from a string computed in a sliding window fashion:

\n\n
\n
def bigram(string):\n    count = max(0, len(string) - 1)\n    return [string[i : i + 2] for i in range(count)]\n
\n
\n\n

For reasons that will become clear shortly, we actually need to compute bigram histograms rather than just sequences:

\n\n
\n
from collections import defaultdict\n\ndef bigram_histo(string):\n    count = max(0, len(string) - 1)\n    bigram_histo = defaultdict(int)\n    for i in range(count):\n        bigram_histo[string[i : i + 2]] += 1\n    return bigram_histo\n
\n
\n\n

The dice coefficient formula looks like following:

\n\n

\"Dice

\n\n

Where X is a bigram of the source node and Y is a bigram of the second one. What this essentially does is count the number of bigram elements the two nodes have in common, multiply it by 2, and then divide by the total number of elements in both bigrams. This is where bigram histograms come in handy:

\n\n
\n
def dice_coefficient(source, target):\n    source_histo = bigram_histo(source.sql())\n    target_histo = bigram_histo(target.sql())\n\n    total_grams = (\n        sum(source_histo.values()) + sum(target_histo.values())\n    )\n    if not total_grams:\n        return 1.0 if source == target else 0.0\n\n    overlap_len = 0\n    overlapping_grams = set(source_histo) & set(target_histo)\n    for g in overlapping_grams:\n        overlap_len += min(source_histo[g], target_histo[g])\n\n    return 2 * overlap_len / total_grams\n
\n
\n\n

To compute a bigram given a tree node, we first transform the node into its canonical SQL representation,so that the Literal(123) node becomes just \u201c123\u201d and the Identifier(\u201ca\u201d) node becomes just \u201ca\u201d. We also handle a scenario when strings are too short to derive bigrams. In this case, we fallback to checking the two nodes for equality.

\n\n

Now when we know how to compute the similarity score, we can take care of the matching criteria for leaf nodes. In the original paper [2], the matching criteria is formalized as follows:

\n\n

\"Matching

\n\n

The two nodes are matched if two conditions are met:

\n\n
    \n
  1. The node labels match (in our case labels are just node types).
    2. \n
  2. The similarity score for node values is greater than or equal to some threshold \u201cf\u201d. The authors of the paper recommend setting the value of \u201cf\u201d to 0.6.
    3. \n
\n\n

With building blocks in place, we can now build a matching set for leaf nodes. First, we generate a list of candidates for matching:

\n\n
\n
from heapq import heappush, heappop\n\ncandidate_matchings = []\nsource_leaves = _get_leaves(self._source)\ntarget_leaves = _get_leaves(self._target)\nfor source_leaf in source_leaves:\n    for target_leaf in target_leaves:\n        if _is_same_type(source_leaf, target_leaf):\n            similarity_score = dice_coefficient(\n                source_leaf, target_leaf\n            )\n            if similarity_score >= 0.6:\n                heappush(\n                    candidate_matchings,\n                    (\n                        -similarity_score,\n                        len(candidate_matchings),\n                        source_leaf,\n                        target_leaf,\n                    ),\n                )\n
\n
\n\n

In the implementation above, we push each matching pair onto the heap to automatically maintain the correct order based on the assigned similarity score.

\n\n

Finally, we build the initial matching set by picking leaf pairs with the highest score:

\n\n
\n
matching_set = set()\nwhile candidate_matchings:\n    _, _, source_leaf, target_leaf = heappop(candidate_matchings)\n    if (\n        source_leaf in unmatched_source_nodes\n        and target_leaf in unmatched_target_nodes\n    ):\n        matching_set.add((source_leaf, target_leaf))\n        unmatched_source_nodes.remove(source_leaf)\n        unmatched_target_nodes.remove(target_leaf)\n
\n
\n\n

To finalize the matching set, we should now proceed with matching inner nodes.

\n\n

Matching Inner Nodes

\n\n

Matching inner nodes is quite similar to matching leaf nodes, with the following two distinctions:

\n\n
    \n
  • Rather than ranking a set of possible candidates, we pick the first node pair that passes the matching criteria.
    • \n
  • The matching criteria itself has been extended to account for the number of leaf nodes the pair of inner nodes have in common.
    • \n
\n\n

\"Figure\nFigure 3: Matching inner nodes based on their type as well as how many of their leaf nodes have been previously matched.

\n\n

Let\u2019s start with the matching criteria. The criteria is formalized as follows:

\n\n

\"Matching

\n\n

Alongside already familiar similarity score and node type criteria, there is a new one in the middle: the ratio of leaf nodes that the two nodes have in common must exceed some threshold \u201ct\u201d. The recommended value for \u201ct\u201d is also 0.6. Counting the number of common leaf nodes is pretty straightforward, since we already have the complete matching set for leaves. All we need to do is count how many matching pairs do leaf nodes from the two compared inner nodes form.

\n\n

There are two additional heuristics associated with this matching criteria:

\n\n
    \n
  • Inner node similarity weighting: if the similarity score between the node values doesn\u2019t pass the threshold \u201cf\u201d but the ratio of common leaf nodes (\u201ct\u201d) is greater than or equal to 0.8, then the matching is considered successful.
    • \n
  • The threshold \u201ct\u201d is reduced to 0.4 for inner nodes with the number of leaf nodes equal to 4 or less, in order to decrease the false negative rate for small subtrees.
    • \n
\n\n

We now only have to iterate through the remaining unmatched nodes and form matching pairs based on the outlined criteria:

\n\n
\n
leaves_matching_set = matching_set.copy()\n\nfor source_node in unmatched_source_nodes.copy():\n    for target_node in unmatched_target_nodes:\n        if _is_same_type(source_node, target_node):\n            source_leaves = set(_get_leaves(source_node))\n            target_leaves = set(_get_leaves(target_node))\n\n            max_leaves_num = max(len(source_leaves), len(target_leaves))\n            if max_leaves_num:\n                common_leaves_num = sum(\n                    1 if s in source_leaves and t in target_leaves else 0\n                    for s, t in leaves_matching_set\n                )\n                leaf_similarity_score = common_leaves_num / max_leaves_num\n            else:\n                leaf_similarity_score = 0.0\n\n            adjusted_t = (\n                0.6\n                if min(len(source_leaves), len(target_leaves)) > 4\n                else 0.4\n            )\n\n            if leaf_similarity_score >= 0.8 or (\n                leaf_similarity_score >= adjusted_t\n                and dice_coefficient(source_node, target_node) >= 0.6\n            ):\n                matching_set.add((source_node, target_node))\n                unmatched_source_nodes.remove(source_node)\n                unmatched_target_nodes.remove(target_node)\n                break\n
\n
\n\n

After the matching set is formed, we can proceed with generation of the edit script, which will be the algorithm\u2019s output.

\n\n

Generating the Edit Script

\n\n

At this point, we should have the following 3 sets at our disposal:

\n\n
    \n
  • The set of matched node pairs.
    • \n
  • The set of remaining unmatched nodes from the source tree.
    • \n
  • The set of remaining unmatched nodes from the target tree.
    • \n
\n\n

We can derive 3 kinds of edits from the matching set: either the node\u2019s value was updated (Update), the node was moved to a different position within the tree (Move), or the node remained unchanged (Keep). Note that the Move case is not mutually exclusive with the other two. The node could have been updated or could have remained the same while at the same time its position within its parent node or the parent node itself could have changed. All unmatched nodes from the source tree are the ones that were removed (Remove), while unmatched nodes from the target tree are the ones that were inserted (Insert).

\n\n

The latter two cases are pretty straightforward to implement:

\n\n
\n
edit_script = []\n\nfor removed_node in unmatched_source_nodes:\n    edit_script.append(Remove(removed_node))\nfor inserted_node in unmatched_target_nodes:\n    edit_script.append(Insert(inserted_node))\n
\n
\n\n

Traversing the matching set requires a little more thought:

\n\n
\n
for source_node, target_node in matching_set:\n    if (\n        not isinstance(source_node, LEAF_EXPRESSION_TYPES)\n        or source_node == target_node\n    ):\n        move_edits = generate_move_edits(\n            source_node, target_node, matching_set\n        )\n        edit_script.extend(move_edits)\n        edit_script.append(Keep(source_node, target_node))\n    else:\n        edit_script.append(Update(source_node, target_node))\n
\n
\n\n

If a matching pair represents a pair of leaf nodes, we check if they are the same to decide whether an update took place. For inner node pairs, we also need to compare the positions of their respective children to detect node movements. Chawathe et al. [3] suggest applying the longest common subsequence (LCS) algorithm which, no surprise here, was described by Myers himself [1]. There is a small catch, however: instead of checking the equality of two children nodes, we need to check whether the two nodes form a pair that is a part of our matching set.

\n\n

Now with this knowledge, the implementation becomes straightforward:

\n\n
\n
def generate_move_edits(source, target, matching_set):\n    source_children = _get_child_nodes(source)\n    target_children = _get_child_nodes(target)\n\n    lcs = set(\n        _longest_common_subsequence(\n            source_children,\n            target_children,\n            lambda l, r: (l, r) in matching_set\n        )\n    )\n\n    move_edits = []\n    for node in source_children:\n        if node not in lcs and node not in unmatched_source_nodes:\n            move_edits.append(Move(node))\n\n    return move_edits\n
\n
\n\n

I left out the implementation of the LCS algorithm itself here, but there are plenty of implementation choices out there that can be easily looked up.

\n\n

Output

\n\n

The implemented algorithm produces the output that resembles the following:

\n\n
\n
>>> from sqlglot import parse_one, diff\n>>> diff(parse_one("SELECT a + b + c, d, e"), parse_one("SELECT a - b + c, e, f"))\n\nRemove(Add)\nRemove(Column(d))\nRemove(Identifier(d))\nInsert(Sub)\nInsert(Column(f))\nInsert(Identifier(f))\nKeep(Select, Select)\nKeep(Add, Add)\nKeep(Column(a), Column(a))\nKeep(Identifier(a), Identifier(a))\nKeep(Column(b), Column(b))\nKeep(Identifier(b), Identifier(b))\nKeep(Column(c), Column(c))\nKeep(Identifier(c), Identifier(c))\nKeep(Column(e), Column(e))\nKeep(Identifier(e), Identifier(e))\n
\n
\n\n

Note that the output above is abbreviated. The string representation of actual AST nodes is significantly more verbose.

\n\n

The implementation works especially well when coupled with the SQLGlot\u2019s query optimizer which can be used to produce canonical representations of compared queries:

\n\n
\n
>>> schema={"t": {"a": "INT", "b": "INT", "c": "INT", "d": "INT"}}\n>>> source = """\n... SELECT 1 + 1 + a\n... FROM t\n... WHERE b = 1 OR (c = 2 AND d = 3)\n... """\n>>> target = """\n... SELECT 2 + a\n... FROM t\n... WHERE (b = 1 OR c = 2) AND (b = 1 OR d = 3)\n... """\n>>> optimized_source = optimize(parse_one(source), schema=schema)\n>>> optimized_target = optimize(parse_one(target), schema=schema)\n>>> edit_script = diff(optimized_source, optimized_target)\n>>> sum(0 if isinstance(e, Keep) else 1 for e in edit_script)\n0\n
\n
\n\n

Optimizations

\n\n

The worst case runtime complexity of this algorithm is not exactly stellar: O(n^2 * log n^2). This is because of the leaf matching process, which involves ranking a cartesian product between all leaf nodes of compared trees. Unsurprisingly, the algorithm takes a considerable time to finish for bigger queries.

\n\n

There are still a few basic things we can do in our implementation to help improve performance:

\n\n
    \n
  • Refer to individual node objects using their identifiers (Python\u2019s id()) instead of direct references in sets. This helps avoid costly recursive hash calculations and equality checks.
    • \n
  • Cache bigram histograms to avoid computing them more than once for the same node.
    • \n
  • Compute the canonical SQL string representation for each tree once while caching string representations of all inner nodes. This prevents redundant tree traversals when bigrams are computed.
    • \n
\n\n

At the time of writing only the first two optimizations have been implemented, so there is an opportunity to contribute for anyone who\u2019s interested.

\n\n

Alternative Solutions

\n\n

This section is dedicated to solutions that I\u2019ve investigated, but haven\u2019t tried.

\n\n

First, this section wouldn\u2019t be complete without Tristan Hume\u2019s blog post. Tristan\u2019s solution has a lot in common with the Myers algorithm plus heuristics that is much more clever than what I came up with. The implementation relies on a combination of dynamic programming and A* search algorithm to explore the space of possible matchings and pick the best ones. It seemed to have worked well for Tistan\u2019s specific use case, but after my negative experience with the Myers algorithm, I decided to try something different.

\n\n

Another notable approach is the Gumtree algorithm by Falleri et al. [4]. I discovered this paper after I\u2019d already implemented the algorithm that is the main focus of this post. In sections 5.2 and 5.3 of their paper, the authors compare the two algorithms side by side and claim that Gumtree is significantly better in terms of both runtime performance and accuracy when evaluated on 12 792 pairs of Java source files. This doesn\u2019t surprise me, as the algorithm takes the height of subtrees into account. In my tests, I definitely saw scenarios in which this context would have helped. On top of that, the authors promise O(n^2) runtime complexity in the worst case which, given the Change Distiller's O(n^2 * log n^2), looks particularly tempting. I hope to try this algorithm out at some point, and there is a good chance you see me writing about it in my future posts.

\n\n

Conclusion

\n\n

The Change Distiller algorithm yielded quite satisfactory results in most of my tests. The scenarios in which it fell short mostly concerned identical (or very similar) subtrees located in different parts of the AST. In those cases, node mismatches were frequent and, as a result, edit scripts were somewhat suboptimal.

\n\n

Additionally, the runtime performance of the algorithm leaves a lot to be desired. On trees with 1000 leaf nodes each, the algorithm takes a little under 2 seconds to complete. My implementation still has room for improvement, but this should give you a rough idea of what to expect. It appears that the Gumtree algorithm [4] can help address both of these points. I hope to find bandwidth to work on it soon and then compare the two algorithms side-by-side to find out which one performs better on SQL specifically. In the meantime, Change Distiller definitely gets the job done, and I can now proceed with applying it to some of the use cases I mentioned at the beginning of this post.

\n\n

I\u2019m also curious to learn whether other folks in the industry faced a similar problem, and how they approached it. If you did something similar, I\u2019m interested to hear about your experience.

\n\n

References

\n\n

[1] Eugene W. Myers. An O(ND) Difference Algorithm and Its Variations. Algorithmica 1(2): 251-266 (1986)

\n\n

[2] B. Fluri, M. Wursch, M. Pinzger, and H. Gall. Change Distilling: Tree differencing for fine-grained source code change extraction. IEEE Trans. Software Eng., 33(11):725\u2013743, 2007.

\n\n

[3] S.S. Chawathe, A. Rajaraman, H. Garcia-Molina, and J. Widom. Change Detection in Hierarchically Structured Information. Proc. ACM Sigmod Int\u2019l Conf. Management of Data, pp. 493-504, June 1996

\n\n

[4] Jean-R\u00e9my Falleri, Flor\u00e9al Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus. Fine-grained and Accurate Source Code Differencing. Proceedings of the International Conference on Automated Software Engineering, 2014, V\u00e4steras, Sweden. pp.313-324, 10.1145/2642937.2642982. hal-01054552

\n\n
\n"}, "sqlglot.diff.Insert": {"fullname": "sqlglot.diff.Insert", "modulename": "sqlglot.diff", "qualname": "Insert", "kind": "class", "doc": "

Indicates that a new node has been inserted

\n"}, "sqlglot.diff.Insert.__init__": {"fullname": "sqlglot.diff.Insert.__init__", "modulename": "sqlglot.diff", "qualname": "Insert.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Remove": {"fullname": "sqlglot.diff.Remove", "modulename": "sqlglot.diff", "qualname": "Remove", "kind": "class", "doc": "

Indicates that an existing node has been removed

\n"}, "sqlglot.diff.Remove.__init__": {"fullname": "sqlglot.diff.Remove.__init__", "modulename": "sqlglot.diff", "qualname": "Remove.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Move": {"fullname": "sqlglot.diff.Move", "modulename": "sqlglot.diff", "qualname": "Move", "kind": "class", "doc": "

Indicates that an existing node's position within the tree has changed

\n"}, "sqlglot.diff.Move.__init__": {"fullname": "sqlglot.diff.Move.__init__", "modulename": "sqlglot.diff", "qualname": "Move.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Update": {"fullname": "sqlglot.diff.Update", "modulename": "sqlglot.diff", "qualname": "Update", "kind": "class", "doc": "

Indicates that an existing node has been updated

\n"}, "sqlglot.diff.Update.__init__": {"fullname": "sqlglot.diff.Update.__init__", "modulename": "sqlglot.diff", "qualname": "Update.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.Keep": {"fullname": "sqlglot.diff.Keep", "modulename": "sqlglot.diff", "qualname": "Keep", "kind": "class", "doc": "

Indicates that an existing node hasn't been changed

\n"}, "sqlglot.diff.Keep.__init__": {"fullname": "sqlglot.diff.Keep.__init__", "modulename": "sqlglot.diff", "qualname": "Keep.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.diff": {"fullname": "sqlglot.diff.diff", "modulename": "sqlglot.diff", "qualname": "diff", "kind": "function", "doc": "

Returns the list of changes between the source and the target expressions.

\n\n
Examples:
\n\n
\n
\n
>>> diff(parse_one("a + b"), parse_one("a + c"))\n[\n    Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),\n    Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),\n    Keep(\n        source=(ADD this: ...),\n        target=(ADD this: ...)\n    ),\n    Keep(\n        source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),\n        target=(COLUMN this: (IDENTIFIER this: a, quoted: False))\n    ),\n]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • source: the source expression.
    • \n
  • target: the target expression against which the diff should be calculated.
    • \n
  • matchings: the list of pre-matched node pairs which is used to help the algorithm's\nheuristics produce better results for subtrees that are known by a caller to be matching.\nNote: expression references in this list must refer to the same node objects that are\nreferenced in source / target trees.
    • \n
\n\n
Returns:
\n\n
\n

the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the\n target expression trees. This list represents a sequence of steps needed to transform the source\n expression tree into the target one.

\n
\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None,\t**kwargs: Any) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.diff.ChangeDistiller": {"fullname": "sqlglot.diff.ChangeDistiller", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller", "kind": "class", "doc": "

The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in\ntheir paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by\nChawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.

\n"}, "sqlglot.diff.ChangeDistiller.__init__": {"fullname": "sqlglot.diff.ChangeDistiller.__init__", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.__init__", "kind": "function", "doc": "

\n", "signature": "(f: float = 0.6, t: float = 0.6)"}, "sqlglot.diff.ChangeDistiller.diff": {"fullname": "sqlglot.diff.ChangeDistiller.diff", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.diff", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.errors": {"fullname": "sqlglot.errors", "modulename": "sqlglot.errors", "kind": "module", "doc": "

\n"}, "sqlglot.errors.ErrorLevel": {"fullname": "sqlglot.errors.ErrorLevel", "modulename": "sqlglot.errors", "qualname": "ErrorLevel", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.errors.ErrorLevel.IGNORE": {"fullname": "sqlglot.errors.ErrorLevel.IGNORE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IGNORE", "kind": "variable", "doc": "

Ignore all errors.

\n", "default_value": "<ErrorLevel.IGNORE: 'IGNORE'>"}, "sqlglot.errors.ErrorLevel.WARN": {"fullname": "sqlglot.errors.ErrorLevel.WARN", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.WARN", "kind": "variable", "doc": "

Log all errors.

\n", "default_value": "<ErrorLevel.WARN: 'WARN'>"}, "sqlglot.errors.ErrorLevel.RAISE": {"fullname": "sqlglot.errors.ErrorLevel.RAISE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.RAISE", "kind": "variable", "doc": "

Collect all errors and raise a single exception.

\n", "default_value": "<ErrorLevel.RAISE: 'RAISE'>"}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"fullname": "sqlglot.errors.ErrorLevel.IMMEDIATE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IMMEDIATE", "kind": "variable", "doc": "

Immediately raise an exception on the first error found.

\n", "default_value": "<ErrorLevel.IMMEDIATE: 'IMMEDIATE'>"}, "sqlglot.errors.SqlglotError": {"fullname": "sqlglot.errors.SqlglotError", "modulename": "sqlglot.errors", "qualname": "SqlglotError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "builtins.Exception"}, "sqlglot.errors.UnsupportedError": {"fullname": "sqlglot.errors.UnsupportedError", "modulename": "sqlglot.errors", "qualname": "UnsupportedError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError": {"fullname": "sqlglot.errors.ParseError", "modulename": "sqlglot.errors", "qualname": "ParseError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError.__init__": {"fullname": "sqlglot.errors.ParseError.__init__", "modulename": "sqlglot.errors", "qualname": "ParseError.__init__", "kind": "function", "doc": "

\n", "signature": "(message: str, errors: Optional[List[Dict[str, Any]]] = None)"}, "sqlglot.errors.ParseError.new": {"fullname": "sqlglot.errors.ParseError.new", "modulename": "sqlglot.errors", "qualname": "ParseError.new", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmessage: str,\tdescription: Optional[str] = None,\tline: Optional[int] = None,\tcol: Optional[int] = None,\tstart_context: Optional[str] = None,\thighlight: Optional[str] = None,\tend_context: Optional[str] = None,\tinto_expression: Optional[str] = None) -> sqlglot.errors.ParseError:", "funcdef": "def"}, "sqlglot.errors.TokenError": {"fullname": "sqlglot.errors.TokenError", "modulename": "sqlglot.errors", "qualname": "TokenError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.OptimizeError": {"fullname": "sqlglot.errors.OptimizeError", "modulename": "sqlglot.errors", "qualname": "OptimizeError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.SchemaError": {"fullname": "sqlglot.errors.SchemaError", "modulename": "sqlglot.errors", "qualname": "SchemaError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ExecuteError": {"fullname": "sqlglot.errors.ExecuteError", "modulename": "sqlglot.errors", "qualname": "ExecuteError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.concat_messages": {"fullname": "sqlglot.errors.concat_messages", "modulename": "sqlglot.errors", "qualname": "concat_messages", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[Any], maximum: int) -> str:", "funcdef": "def"}, "sqlglot.errors.merge_errors": {"fullname": "sqlglot.errors.merge_errors", "modulename": "sqlglot.errors", "qualname": "merge_errors", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[sqlglot.errors.ParseError]) -> List[Dict[str, Any]]:", "funcdef": "def"}, "sqlglot.executor": {"fullname": "sqlglot.executor", "modulename": "sqlglot.executor", "kind": "module", "doc": "

Writing a Python SQL engine from scratch

\n\n

Toby Mao

\n\n

Introduction

\n\n

When I first started writing SQLGlot in early 2021, my goal was just to translate SQL queries from SparkSQL to Presto and vice versa. However, over the last year and a half, I've ended up with a full-fledged SQL engine. SQLGlot can now parse and transpile between 18 SQL dialects and can execute all 24 TPC-H SQL queries. The parser and engine are all written from scratch using Python.

\n\n

This post will cover why I went through the effort of creating a Python SQL engine and how a simple query goes from a string to actually transforming data. The following steps are briefly summarized:

\n\n\n\n

Why?

\n\n

I started working on SQLGlot because of my work on the experimentation and metrics platform at Netflix, where I built tools that allowed data scientists to define and compute SQL-based metrics. Netflix relied on multiple engines to query data (Spark, Presto, and Druid), so my team built the metrics platform around PyPika, a Python SQL query builder. This way, definitions could be reused across multiple engines. However, it became quickly apparent that writing python code to programmatically generate SQL was challenging for data scientists, especially those with academic backgrounds, since they were mostly familiar with R and SQL. At the time, the only Python SQL parser was sqlparse, which is not actually a parser but a tokenizer, so having users write raw SQL into the platform wasn't really an option. Some time later, I randomly stumbled across Crafting Interpreters and realized that I could use it as a guide towards creating my own SQL parser/transpiler.

\n\n

Why did I do this? Isn't a Python SQL engine going to be extremely slow?

\n\n

The main reason why I ended up building a SQL engine was...just for entertainment. It's been fun learning about all the things required to actually run a SQL query, and seeing it actually work is extremely rewarding. Before SQLGlot, I had zero experience with lexers, parsers, or compilers.

\n\n

In terms of practical use cases, I planned to use the Python SQL engine for unit testing SQL pipelines. Big data pipelines are tough to test because many of the engines are not open source and cannot be run locally. With SQLGlot, you can take a SQL query targeting a warehouse such as Snowflake and seamlessly run it in CI on mock Python data. It's easy to mock data and create arbitrary UDFs because everything is just Python. Although the implementation is slow and unsuitable for large amounts of data (> 1 million rows), there's very little overhead/startup and you can run queries on test data in a couple of milliseconds.

\n\n

Finally, the components that have been built to support execution can be used as a foundation for a faster engine. I'm inspired by what Apache Calcite has done for the JVM world. Even though Python is commonly used for data, there hasn't been a Calcite for Python. So, you could say that SQLGlot aims to be that framework. For example, it wouldn't take much work to replace the Python execution engine with numpy/pandas/arrow to become a respectably-performing query engine. The implementation would be able to leverage the parser, optimizer, and logical planner, only needing to implement physical execution. There is a lot of work in the Python ecosystem around high performance vectorized computation, which I think could benefit from a pure Python-based AST/plan. Parsing and planning doesn't have to be fast when the bottleneck of running queries is processing terabytes of data. So, having a Python-based ecosystem around SQL is beneficial given the ease of development in Python, despite not having bare metal performance.

\n\n

Parts of SQLGlot's toolkit are being used today by the following:

\n\n
    \n
  • Ibis: A Python library that provides a lightweight, universal interface for data wrangling.\n
      \n
    • Uses the Python SQL expression builder and leverages the optimizer/planner to convert SQL into dataframe operations.
      • \n
    • \n
  • mysql-mimic: Pure-Python implementation of the MySQL server wire protocol\n
      \n
    • Parses / transforms SQL and executes INFORMATION_SCHEMA queries.
      • \n
    • \n
  • Quokka: Push-based vectorized query engine\n
      \n
    • Parse and optimizes SQL.
      • \n
    • \n
  • Splink: Fast, accurate and scalable probabilistic data linkage using your choice of SQL backend.\n
      \n
    • Transpiles queries.
      • \n
    • \n
\n\n

How?

\n\n

There are many steps involved with actually running a simple query like:

\n\n
\n
SELECT\n  bar.a,\n  b + 1 AS b\nFROM bar\nJOIN baz\n  ON bar.a = baz.a\nWHERE bar.a > 1\n
\n
\n\n

In this post, I'll walk through all the steps SQLGlot takes to run this query over Python objects.

\n\n

Tokenizing

\n\n

The first step is to convert the sql string into a list of tokens. SQLGlot's tokenizer is quite simple and can be found here. In a while loop, it checks each character and either appends the character to the current token, or makes a new token.

\n\n

Running the SQLGlot tokenizer shows the output.

\n\n

\"Tokenizer

\n\n

Each keyword has been converted to a SQLGlot Token object. Each token has some metadata associated with it, like line/column information for error messages. Comments are also a part of the token, so that comments can be preserved.

\n\n

Parsing

\n\n

Once a SQL statement is tokenized, we don't need to worry about white space and other formatting, so it's easier to work with. We can now convert the list of tokens into an AST. The SQLGlot parser is a handwritten recursive descent parser.

\n\n

Similar to the tokenizer, it consumes the tokens sequentially, but it instead uses a recursive algorithm. The tokens are converted into a single AST node that presents the SQL query. The SQLGlot parser was designed to support various dialects, so it contains many options for overriding parsing functionality.

\n\n

\"Parser

\n\n

The AST is a generic representation of a given SQL query. Each dialect can override or implement its own generator, which can convert an AST object into syntatically-correct SQL.

\n\n

Optimizing

\n\n

Once we have our AST, we can transform it into an equivalent query that produces the same results more efficiently. When optimizing queries, most engines first convert the AST into a logical plan and then optimize the plan. However, I chose to optimize the AST directly for the following reasons:

\n\n
    \n

  1. It's easier to debug and validate the optimizations when the input and output are both SQL.

    2. \n

  2. Rules can be applied a la carte to transform SQL into a more desirable form.

    3. \n

  3. I wanted a way to generate 'canonical sql'. Having a canonical representation of SQL is useful for understanding if two queries are semantically equivalent (e.g. SELECT 1 + 1 and SELECT 2).

    4. \n
\n\n

I've yet to find another engine that takes this approach, but I'm quite happy with this decision. The optimizer currently does not perform any \"physical optimizations\" such as join reordering. Those are left to the execution layer, as additional statistics and information could become relevant.

\n\n

\"Optimizer

\n\n

The optimizer currently has 17 rules. Each of these rules is applied, transforming the AST in place. The combination of these rules creates \"canonical\" sql that can then be more easily converted into a logical plan and executed.

\n\n

Some example rules are:

\n\n

qualify_tables and qualify_columns

\n\n
    \n
  • Adds all db/catalog qualifiers to tables and forces an alias.
    • \n
  • Ensure each column is unambiguous and expand stars.
    • \n
\n\n
\n
SELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n
\n
\n\n

simplify

\n\n

Boolean and math simplification. Check out all the test cases.

\n\n
\n
((NOT FALSE) AND (x = x)) AND (TRUE OR 1 <> 3);\nx = x;\n\n1 + 1;\n2;\n
\n
\n\n

normalize

\n\n

Attempts to convert all predicates into conjunctive normal form.

\n\n
\n
-- DNF\n(A AND B) OR (B AND C AND D);\n\n-- CNF\n(A OR C) AND (A OR D) AND B;\n
\n
\n\n

unnest_subqueries

\n\n

Converts subqueries in predicates into joins.

\n\n
\n
-- The subquery can be converted into a left join\nSELECT *\nFROM x AS x\nWHERE (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE x.a = y.a\n) = 1;\n\nSELECT *\nFROM x AS x\nLEFT JOIN (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE TRUE\n  GROUP BY y.a\n) AS "_u_0"\n  ON x.a = "_u_0".a\nWHERE ("_u_0".a = 1 AND NOT "_u_0".a IS NULL)\n
\n
\n\n

pushdown_predicates

\n\n

Push down filters into the innermost query.

\n\n
\n
SELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n) AS y\nWHERE y.a = 1;\n\nSELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n  WHERE y.a = 1\n) AS y WHERE TRUE\n
\n
\n\n

annotate_types

\n\n

Infer all types throughout the AST given schema information and function type definitions.

\n\n

Planning

\n\n

After the SQL AST has been \"optimized\", it's much easier to convert into a logical plan. The AST is traversed and converted into a DAG consisting of one of five steps. The different steps are:

\n\n

Scan

\n\n

Selects columns from a table, applies projections, and finally filters the table.

\n\n

Sort

\n\n

Sorts a table for order by expressions.

\n\n

Set

\n\n

Applies the operators union/union all/except/intersect.

\n\n

Aggregate

\n\n

Applies an aggregation/group by.

\n\n

Join

\n\n

Joins multiple tables together.

\n\n

\"Planner

\n\n

The logical plan is quite simple and contains the information required to convert it into a physical plan (execution).

\n\n

Executing

\n\n

Finally, we can actually execute the SQL query. The Python engine is not fast, but it's very small (~400 LOC)! It iterates the DAG with a queue and runs each step, passing each intermediary table to the next step.

\n\n

In order to keep things simple, it evaluates expressions with eval. Because SQLGlot was built primarily to be a transpiler, it was simple to create a \"Python SQL\" dialect. So a SQL expression x + 1 can just be converted into scope['x'] + 1.

\n\n

\"Executor

\n\n

What's next

\n\n

SQLGlot's main focus will always be on parsing/transpiling, but I plan to continue development on the execution engine. I'd like to pass TPC-DS. If someone doesn't beat me to it, I may even take a stab at writing a Pandas/Arrow execution engine.

\n\n

I'm hoping that over time, SQLGlot will spark the Python SQL ecosystem just like Calcite has for Java.

\n\n

Special thanks

\n\n

SQLGlot would not be what it is without it's core contributors. In particular, the execution engine would not exist without Barak Alon and George Sittas.

\n\n

Get in touch

\n\n

If you'd like to chat more about SQLGlot, please join my Slack Channel!

\n\n
\n"}, "sqlglot.executor.execute": {"fullname": "sqlglot.executor.execute", "modulename": "sqlglot.executor", "qualname": "execute", "kind": "function", "doc": "

Run a sql query against data.

\n\n
Arguments:
\n\n
    \n
  • sql: a sql statement.
    • \n
  • schema: database schema.\nThis can either be an instance of Schema or a mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
      2. \n
    2. {db: {table: {col: type}}}
      3. \n
    3. {catalog: {db: {table: {col: type}}}}
      4. \n
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • tables: additional tables to register.
    • \n
\n\n
Returns:
\n\n
\n

Simple columnar data structure.

\n
\n", "signature": "(\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\ttables: Optional[Dict] = None) -> sqlglot.executor.table.Table:", "funcdef": "def"}, "sqlglot.executor.context": {"fullname": "sqlglot.executor.context", "modulename": "sqlglot.executor.context", "kind": "module", "doc": "

\n"}, "sqlglot.executor.context.Context": {"fullname": "sqlglot.executor.context.Context", "modulename": "sqlglot.executor.context", "qualname": "Context", "kind": "class", "doc": "

Execution context for sql expressions.

\n\n

Context is used to hold relevant data tables which can then be queried on with eval.

\n\n

References to columns can either be scalar or vectors. When set_row is used, column references\nevaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient\nevaluation of aggregation functions.

\n"}, "sqlglot.executor.context.Context.__init__": {"fullname": "sqlglot.executor.context.Context.__init__", "modulename": "sqlglot.executor.context", "qualname": "Context.__init__", "kind": "function", "doc": "

Args\n tables: representing the scope of the current execution context.\n env: dictionary of functions within the execution context.

\n", "signature": "(\ttables: Dict[str, sqlglot.executor.table.Table],\tenv: Optional[Dict] = None)"}, "sqlglot.executor.context.Context.eval": {"fullname": "sqlglot.executor.context.Context.eval", "modulename": "sqlglot.executor.context", "qualname": "Context.eval", "kind": "function", "doc": "

\n", "signature": "(self, code):", "funcdef": "def"}, "sqlglot.executor.context.Context.eval_tuple": {"fullname": "sqlglot.executor.context.Context.eval_tuple", "modulename": "sqlglot.executor.context", "qualname": "Context.eval_tuple", "kind": "function", "doc": "

\n", "signature": "(self, codes):", "funcdef": "def"}, "sqlglot.executor.context.Context.add_columns": {"fullname": "sqlglot.executor.context.Context.add_columns", "modulename": "sqlglot.executor.context", "qualname": "Context.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.table_iter": {"fullname": "sqlglot.executor.context.Context.table_iter", "modulename": "sqlglot.executor.context", "qualname": "Context.table_iter", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: str) -> Iterator[Tuple[sqlglot.executor.table.TableIter, sqlglot.executor.context.Context]]:", "funcdef": "def"}, "sqlglot.executor.context.Context.filter": {"fullname": "sqlglot.executor.context.Context.filter", "modulename": "sqlglot.executor.context", "qualname": "Context.filter", "kind": "function", "doc": "

\n", "signature": "(self, condition) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.sort": {"fullname": "sqlglot.executor.context.Context.sort", "modulename": "sqlglot.executor.context", "qualname": "Context.sort", "kind": "function", "doc": "

\n", "signature": "(self, key) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_row": {"fullname": "sqlglot.executor.context.Context.set_row", "modulename": "sqlglot.executor.context", "qualname": "Context.set_row", "kind": "function", "doc": "

\n", "signature": "(self, row: Tuple) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_index": {"fullname": "sqlglot.executor.context.Context.set_index", "modulename": "sqlglot.executor.context", "qualname": "Context.set_index", "kind": "function", "doc": "

\n", "signature": "(self, index: int) -> None:", "funcdef": "def"}, "sqlglot.executor.context.Context.set_range": {"fullname": "sqlglot.executor.context.Context.set_range", "modulename": "sqlglot.executor.context", "qualname": "Context.set_range", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> None:", "funcdef": "def"}, "sqlglot.executor.env": {"fullname": "sqlglot.executor.env", "modulename": "sqlglot.executor.env", "kind": "module", "doc": "

\n"}, "sqlglot.executor.env.reverse_key": {"fullname": "sqlglot.executor.env.reverse_key", "modulename": "sqlglot.executor.env", "qualname": "reverse_key", "kind": "class", "doc": "

\n"}, "sqlglot.executor.env.reverse_key.__init__": {"fullname": "sqlglot.executor.env.reverse_key.__init__", "modulename": "sqlglot.executor.env", "qualname": "reverse_key.__init__", "kind": "function", "doc": "

\n", "signature": "(obj)"}, "sqlglot.executor.env.filter_nulls": {"fullname": "sqlglot.executor.env.filter_nulls", "modulename": "sqlglot.executor.env", "qualname": "filter_nulls", "kind": "function", "doc": "

\n", "signature": "(func, empty_null=True):", "funcdef": "def"}, "sqlglot.executor.env.null_if_any": {"fullname": "sqlglot.executor.env.null_if_any", "modulename": "sqlglot.executor.env", "qualname": "null_if_any", "kind": "function", "doc": "

Decorator that makes a function return None if any of the required arguments are None.

\n\n

This also supports decoration with no arguments, e.g.:

\n\n
@null_if_any\ndef foo(a, b): ...\n
\n\n

In which case all arguments are required.

\n", "signature": "(*required):", "funcdef": "def"}, "sqlglot.executor.env.str_position": {"fullname": "sqlglot.executor.env.str_position", "modulename": "sqlglot.executor.env", "qualname": "str_position", "kind": "function", "doc": "

\n", "signature": "(substr, this, position=None):", "funcdef": "def"}, "sqlglot.executor.env.substring": {"fullname": "sqlglot.executor.env.substring", "modulename": "sqlglot.executor.env", "qualname": "substring", "kind": "function", "doc": "

\n", "signature": "(this, start=None, length=None):", "funcdef": "def"}, "sqlglot.executor.env.cast": {"fullname": "sqlglot.executor.env.cast", "modulename": "sqlglot.executor.env", "qualname": "cast", "kind": "function", "doc": "

\n", "signature": "(this, to):", "funcdef": "def"}, "sqlglot.executor.env.ordered": {"fullname": "sqlglot.executor.env.ordered", "modulename": "sqlglot.executor.env", "qualname": "ordered", "kind": "function", "doc": "

\n", "signature": "(this, desc, nulls_first):", "funcdef": "def"}, "sqlglot.executor.env.interval": {"fullname": "sqlglot.executor.env.interval", "modulename": "sqlglot.executor.env", "qualname": "interval", "kind": "function", "doc": "

\n", "signature": "(this, unit):", "funcdef": "def"}, "sqlglot.executor.python": {"fullname": "sqlglot.executor.python", "modulename": "sqlglot.executor.python", "kind": "module", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor": {"fullname": "sqlglot.executor.python.PythonExecutor", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor", "kind": "class", "doc": "

\n"}, "sqlglot.executor.python.PythonExecutor.__init__": {"fullname": "sqlglot.executor.python.PythonExecutor.__init__", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.__init__", "kind": "function", "doc": "

\n", "signature": "(env=None, tables=None)"}, "sqlglot.executor.python.PythonExecutor.execute": {"fullname": "sqlglot.executor.python.PythonExecutor.execute", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.execute", "kind": "function", "doc": "

\n", "signature": "(self, plan):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate": {"fullname": "sqlglot.executor.python.PythonExecutor.generate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate", "kind": "function", "doc": "

Convert a SQL expression into literal Python code and compile it into bytecode.

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"fullname": "sqlglot.executor.python.PythonExecutor.generate_tuple", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.generate_tuple", "kind": "function", "doc": "

Convert an array of SQL expressions into tuple of Python byte code.

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.context": {"fullname": "sqlglot.executor.python.PythonExecutor.context", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.context", "kind": "function", "doc": "

\n", "signature": "(self, tables):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.table": {"fullname": "sqlglot.executor.python.PythonExecutor.table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.table", "kind": "function", "doc": "

\n", "signature": "(self, expressions):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan": {"fullname": "sqlglot.executor.python.PythonExecutor.scan", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.static": {"fullname": "sqlglot.executor.python.PythonExecutor.static", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.static", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_table": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_table", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_table", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"fullname": "sqlglot.executor.python.PythonExecutor.scan_csv", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.scan_csv", "kind": "function", "doc": "

\n", "signature": "(self, step):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.join": {"fullname": "sqlglot.executor.python.PythonExecutor.join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.join", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"fullname": "sqlglot.executor.python.PythonExecutor.nested_loop_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.nested_loop_join", "kind": "function", "doc": "

\n", "signature": "(self, _join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.hash_join": {"fullname": "sqlglot.executor.python.PythonExecutor.hash_join", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.hash_join", "kind": "function", "doc": "

\n", "signature": "(self, join, source_context, join_context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.aggregate": {"fullname": "sqlglot.executor.python.PythonExecutor.aggregate", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.aggregate", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.sort": {"fullname": "sqlglot.executor.python.PythonExecutor.sort", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.sort", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.PythonExecutor.set_operation": {"fullname": "sqlglot.executor.python.PythonExecutor.set_operation", "modulename": "sqlglot.executor.python", "qualname": "PythonExecutor.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, step, context):", "funcdef": "def"}, "sqlglot.executor.python.Python": {"fullname": "sqlglot.executor.python.Python", "modulename": "sqlglot.executor.python", "qualname": "Python", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.executor.python.Python.Tokenizer": {"fullname": "sqlglot.executor.python.Python.Tokenizer", "modulename": "sqlglot.executor.python", "qualname": "Python.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.executor.python.Python.Generator": {"fullname": "sqlglot.executor.python.Python.Generator", "modulename": "sqlglot.executor.python", "qualname": "Python.Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.executor.table": {"fullname": "sqlglot.executor.table", "modulename": "sqlglot.executor.table", "kind": "module", "doc": "

\n"}, "sqlglot.executor.table.Table": {"fullname": "sqlglot.executor.table.Table", "modulename": "sqlglot.executor.table", "qualname": "Table", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.Table.__init__": {"fullname": "sqlglot.executor.table.Table.__init__", "modulename": "sqlglot.executor.table", "qualname": "Table.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, rows=None, column_range=None)"}, "sqlglot.executor.table.Table.add_columns": {"fullname": "sqlglot.executor.table.Table.add_columns", "modulename": "sqlglot.executor.table", "qualname": "Table.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.table.Table.append": {"fullname": "sqlglot.executor.table.Table.append", "modulename": "sqlglot.executor.table", "qualname": "Table.append", "kind": "function", "doc": "

\n", "signature": "(self, row):", "funcdef": "def"}, "sqlglot.executor.table.Table.pop": {"fullname": "sqlglot.executor.table.Table.pop", "modulename": "sqlglot.executor.table", "qualname": "Table.pop", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.table.TableIter": {"fullname": "sqlglot.executor.table.TableIter", "modulename": "sqlglot.executor.table", "qualname": "TableIter", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.TableIter.__init__": {"fullname": "sqlglot.executor.table.TableIter.__init__", "modulename": "sqlglot.executor.table", "qualname": "TableIter.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RangeReader": {"fullname": "sqlglot.executor.table.RangeReader", "modulename": "sqlglot.executor.table", "qualname": "RangeReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RangeReader.__init__": {"fullname": "sqlglot.executor.table.RangeReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RangeReader.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RowReader": {"fullname": "sqlglot.executor.table.RowReader", "modulename": "sqlglot.executor.table", "qualname": "RowReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RowReader.__init__": {"fullname": "sqlglot.executor.table.RowReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RowReader.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, column_range=None)"}, "sqlglot.executor.table.Tables": {"fullname": "sqlglot.executor.table.Tables", "modulename": "sqlglot.executor.table", "qualname": "Tables", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "sqlglot.schema.AbstractMappingSchema[sqlglot.executor.table.Table]"}, "sqlglot.executor.table.ensure_tables": {"fullname": "sqlglot.executor.table.ensure_tables", "modulename": "sqlglot.executor.table", "qualname": "ensure_tables", "kind": "function", "doc": "

\n", "signature": "(d: Optional[Dict]) -> sqlglot.executor.table.Tables:", "funcdef": "def"}, "sqlglot.expressions": {"fullname": "sqlglot.expressions", "modulename": "sqlglot.expressions", "kind": "module", "doc": "

Expressions

\n\n

Every AST node in SQLGlot is represented by a subclass of Expression.

\n\n

This module contains the implementation of all supported Expression types. Additionally,\nit exposes a number of helper functions, which are mainly used to programmatically build\nSQL expressions, such as sqlglot.expressions.select.

\n\n
\n"}, "sqlglot.expressions.Expression": {"fullname": "sqlglot.expressions.Expression", "modulename": "sqlglot.expressions", "qualname": "Expression", "kind": "class", "doc": "

The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary\ncontext, such as its child expressions, their names (arg keys), and whether a given child expression\nis optional or not.

\n\n
Attributes:
\n\n
    \n
  • key: a unique key for each class in the Expression hierarchy. This is useful for hashing\nand representing expressions as strings.
    • \n
  • arg_types: determines what arguments (child nodes) are supported by an expression. It\nmaps arg keys to booleans that indicate whether the corresponding args are optional.
    • \n
  • parent: a reference to the parent expression (or None, in case of root expressions).
    • \n
  • arg_key: the arg key an expression is associated with, i.e. the name its parent expression\nuses to refer to it.
    • \n
  • comments: a list of comments that are associated with a given expression. This is used in\norder to preserve comments when transpiling SQL code.
    • \n
  • _type: the sqlglot.expressions.DataType type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.
    • \n
\n\n
Example:
\n\n
\n
\n
>>> class Foo(Expression):\n...     arg_types = {"this": True, "expression": False}\n
\n
\n \n

The above definition informs us that Foo is an Expression that requires an argument called\n \"this\" and may also optionally receive an argument called \"expression\".

\n
\n\n
Arguments:
\n\n
    \n
  • args: a mapping used for retrieving the arguments of an expression, given their arg keys.
    • \n
\n"}, "sqlglot.expressions.Expression.__init__": {"fullname": "sqlglot.expressions.Expression.__init__", "modulename": "sqlglot.expressions", "qualname": "Expression.__init__", "kind": "function", "doc": "

\n", "signature": "(**args: Any)"}, "sqlglot.expressions.Expression.this": {"fullname": "sqlglot.expressions.Expression.this", "modulename": "sqlglot.expressions", "qualname": "Expression.this", "kind": "variable", "doc": "

Retrieves the argument with key \"this\".

\n"}, "sqlglot.expressions.Expression.expression": {"fullname": "sqlglot.expressions.Expression.expression", "modulename": "sqlglot.expressions", "qualname": "Expression.expression", "kind": "variable", "doc": "

Retrieves the argument with key \"expression\".

\n"}, "sqlglot.expressions.Expression.expressions": {"fullname": "sqlglot.expressions.Expression.expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.expressions", "kind": "variable", "doc": "

Retrieves the argument with key \"expressions\".

\n"}, "sqlglot.expressions.Expression.text": {"fullname": "sqlglot.expressions.Expression.text", "modulename": "sqlglot.expressions", "qualname": "Expression.text", "kind": "function", "doc": "

Returns a textual representation of the argument corresponding to \"key\". This can only be used\nfor args that are strings or leaf Expression instances, such as identifiers and literals.

\n", "signature": "(self, key) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.is_string": {"fullname": "sqlglot.expressions.Expression.is_string", "modulename": "sqlglot.expressions", "qualname": "Expression.is_string", "kind": "variable", "doc": "

Checks whether a Literal expression is a string.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_number": {"fullname": "sqlglot.expressions.Expression.is_number", "modulename": "sqlglot.expressions", "qualname": "Expression.is_number", "kind": "variable", "doc": "

Checks whether a Literal expression is a number.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_int": {"fullname": "sqlglot.expressions.Expression.is_int", "modulename": "sqlglot.expressions", "qualname": "Expression.is_int", "kind": "variable", "doc": "

Checks whether a Literal expression is an integer.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_star": {"fullname": "sqlglot.expressions.Expression.is_star", "modulename": "sqlglot.expressions", "qualname": "Expression.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.alias": {"fullname": "sqlglot.expressions.Expression.alias", "modulename": "sqlglot.expressions", "qualname": "Expression.alias", "kind": "variable", "doc": "

Returns the alias of the expression, or an empty string if it's not aliased.

\n", "annotation": ": str"}, "sqlglot.expressions.Expression.output_name": {"fullname": "sqlglot.expressions.Expression.output_name", "modulename": "sqlglot.expressions", "qualname": "Expression.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Expression.copy": {"fullname": "sqlglot.expressions.Expression.copy", "modulename": "sqlglot.expressions", "qualname": "Expression.copy", "kind": "function", "doc": "

Returns a deep copy of the expression.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.add_comments": {"fullname": "sqlglot.expressions.Expression.add_comments", "modulename": "sqlglot.expressions", "qualname": "Expression.add_comments", "kind": "function", "doc": "

\n", "signature": "(self, comments: Optional[List[str]]) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.append": {"fullname": "sqlglot.expressions.Expression.append", "modulename": "sqlglot.expressions", "qualname": "Expression.append", "kind": "function", "doc": "

Appends value to arg_key if it's a list or sets it as a new list.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the list expression arg
    • \n
  • value (Any): value to append to the list
    • \n
\n", "signature": "(self, arg_key: str, value: Any) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.set": {"fullname": "sqlglot.expressions.Expression.set", "modulename": "sqlglot.expressions", "qualname": "Expression.set", "kind": "function", "doc": "

Sets arg_key to value.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the expression arg.
    • \n
  • value: value to set the arg to.
    • \n
\n", "signature": "(self, arg_key: str, value: Any) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.depth": {"fullname": "sqlglot.expressions.Expression.depth", "modulename": "sqlglot.expressions", "qualname": "Expression.depth", "kind": "variable", "doc": "

Returns the depth of this tree.

\n", "annotation": ": int"}, "sqlglot.expressions.Expression.iter_expressions": {"fullname": "sqlglot.expressions.Expression.iter_expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.iter_expressions", "kind": "function", "doc": "

Yields the key and expression for all arguments, exploding list args.

\n", "signature": "(self) -> Iterator[Tuple[str, sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "

Returns the first node in this tree which matches at least one of\nthe specified types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
  • bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
    • \n
\n\n
Returns:
\n\n
\n

The node which matches the criteria or None if no such node was found.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs: bool = True) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree and only\nyields those that match at least one of the specified expression types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
  • bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
    • \n
\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs: bool = True) -> Iterator[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "

Returns a nearest parent matching expression_types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
\n\n
Returns:
\n\n
\n

The parent node.

\n
\n", "signature": "(self, *expression_types: Type[~E]) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "

Returns the parent select statement.

\n", "annotation": ": Optional[sqlglot.expressions.Select]"}, "sqlglot.expressions.Expression.same_parent": {"fullname": "sqlglot.expressions.Expression.same_parent", "modulename": "sqlglot.expressions", "qualname": "Expression.same_parent", "kind": "variable", "doc": "

Returns if the parent is the same class as itself.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.root": {"fullname": "sqlglot.expressions.Expression.root", "modulename": "sqlglot.expressions", "qualname": "Expression.root", "kind": "function", "doc": "

Returns the root expression of this tree.

\n", "signature": "(self) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Expression.walk": {"fullname": "sqlglot.expressions.Expression.walk", "modulename": "sqlglot.expressions", "qualname": "Expression.walk", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree.

\n\n
Arguments:
\n\n
    \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
    • \n
  • prune ((node, parent, arg_key) -> bool): callable that returns True if\nthe generator should stop traversing this branch of the tree.
    • \n
\n\n
Returns:
\n\n
\n

the generator object.

\n
\n", "signature": "(self, bfs=True, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.dfs": {"fullname": "sqlglot.expressions.Expression.dfs", "modulename": "sqlglot.expressions", "qualname": "Expression.dfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe DFS (Depth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, parent=None, key=None, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.bfs": {"fullname": "sqlglot.expressions.Expression.bfs", "modulename": "sqlglot.expressions", "qualname": "Expression.bfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe BFS (Breadth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest": {"fullname": "sqlglot.expressions.Expression.unnest", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest", "kind": "function", "doc": "

Returns the first non parenthesis child or self.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unalias": {"fullname": "sqlglot.expressions.Expression.unalias", "modulename": "sqlglot.expressions", "qualname": "Expression.unalias", "kind": "function", "doc": "

Returns the inner expression if this is an Alias.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest_operands": {"fullname": "sqlglot.expressions.Expression.unnest_operands", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest_operands", "kind": "function", "doc": "

Returns unnested operands as a tuple.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.flatten": {"fullname": "sqlglot.expressions.Expression.flatten", "modulename": "sqlglot.expressions", "qualname": "Expression.flatten", "kind": "function", "doc": "

Returns a generator which yields child nodes who's parents are the same class.

\n\n

A AND B AND C -> [A, B, C]

\n", "signature": "(self, unnest=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.sql": {"fullname": "sqlglot.expressions.Expression.sql", "modulename": "sqlglot.expressions", "qualname": "Expression.sql", "kind": "function", "doc": "

Returns SQL string representation of this tree.

\n\n
Arguments:
\n\n
    \n
  • dialect: the dialect of the output SQL string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • opts: other sqlglot.generator.Generator options.
    • \n
\n\n
Returns:
\n\n
\n

The SQL string.

\n
\n", "signature": "(\tself,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.transform": {"fullname": "sqlglot.expressions.Expression.transform", "modulename": "sqlglot.expressions", "qualname": "Expression.transform", "kind": "function", "doc": "

Recursively visits all tree nodes (excluding already transformed ones)\nand applies the given transformation function to each node.

\n\n
Arguments:
\n\n
    \n
  • fun (function): a function which takes a node as an argument and returns a\nnew transformed node or the same node without modifications. If the function\nreturns None, then the corresponding node will be removed from the syntax tree.
    • \n
  • copy (bool): if set to True a new tree instance is constructed, otherwise the tree is\nmodified in place.
    • \n
\n\n
Returns:
\n\n
\n

The transformed tree.

\n
\n", "signature": "(self, fun, *args, copy=True, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.Expression.replace": {"fullname": "sqlglot.expressions.Expression.replace", "modulename": "sqlglot.expressions", "qualname": "Expression.replace", "kind": "function", "doc": "

Swap out this expression with a new expression.

\n\n

For example::

\n\n
>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n
Arguments:
\n\n
    \n
  • expression: new node
    • \n
\n\n
Returns:
\n\n
\n

The new expression or expressions.

\n
\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.expressions.Expression.pop": {"fullname": "sqlglot.expressions.Expression.pop", "modulename": "sqlglot.expressions", "qualname": "Expression.pop", "kind": "function", "doc": "

Remove this expression from its AST.

\n\n
Returns:
\n\n
\n

The popped expression.

\n
\n", "signature": "(self: ~E) -> ~E:", "funcdef": "def"}, "sqlglot.expressions.Expression.assert_is": {"fullname": "sqlglot.expressions.Expression.assert_is", "modulename": "sqlglot.expressions", "qualname": "Expression.assert_is", "kind": "function", "doc": "

Assert that this Expression is an instance of type_.

\n\n

If it is NOT an instance of type_, this raises an assertion error.\nOtherwise, this returns this expression.

\n\n
Examples:
\n\n
\n

This is useful for type security in chained expressions:

\n \n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()\n'SELECT x, z FROM y'\n
\n
\n
\n", "signature": "(self, type_: Type[~E]) -> ~E:", "funcdef": "def"}, "sqlglot.expressions.Expression.error_messages": {"fullname": "sqlglot.expressions.Expression.error_messages", "modulename": "sqlglot.expressions", "qualname": "Expression.error_messages", "kind": "function", "doc": "

Checks if this expression is valid (e.g. all mandatory args are set).

\n\n
Arguments:
\n\n
    \n
  • args: a sequence of values that were used to instantiate a Func expression. This is used\nto check that the provided arguments don't exceed the function argument limit.
    • \n
\n\n
Returns:
\n\n
\n

A list of error messages for all possible errors that were found.

\n
\n", "signature": "(self, args: Optional[Sequence] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.Expression.dump": {"fullname": "sqlglot.expressions.Expression.dump", "modulename": "sqlglot.expressions", "qualname": "Expression.dump", "kind": "function", "doc": "

Dump this Expression to a JSON-serializable dict.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.load": {"fullname": "sqlglot.expressions.Expression.load", "modulename": "sqlglot.expressions", "qualname": "Expression.load", "kind": "function", "doc": "

Load a dict (as returned by Expression.dump) into an Expression instance.

\n", "signature": "(cls, obj):", "funcdef": "def"}, "sqlglot.expressions.Condition": {"fullname": "sqlglot.expressions.Condition", "modulename": "sqlglot.expressions", "qualname": "Condition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Condition.and_": {"fullname": "sqlglot.expressions.Condition.and_", "modulename": "sqlglot.expressions", "qualname": "Condition.and_", "kind": "function", "doc": "

AND this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new And condition.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Condition.or_": {"fullname": "sqlglot.expressions.Condition.or_", "modulename": "sqlglot.expressions", "qualname": "Condition.or_", "kind": "function", "doc": "

OR this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Or condition.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Condition.not_": {"fullname": "sqlglot.expressions.Condition.not_", "modulename": "sqlglot.expressions", "qualname": "Condition.not_", "kind": "function", "doc": "

Wrap this condition with NOT.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • copy: whether or not to copy this object.
    • \n
\n\n
Returns:
\n\n
\n

The new Not instance.

\n
\n", "signature": "(self, copy: bool = True):", "funcdef": "def"}, "sqlglot.expressions.Condition.as_": {"fullname": "sqlglot.expressions.Condition.as_", "modulename": "sqlglot.expressions", "qualname": "Condition.as_", "kind": "function", "doc": "

\n", "signature": "(\tself,\talias: str | sqlglot.expressions.Identifier,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Alias:", "funcdef": "def"}, "sqlglot.expressions.Condition.isin": {"fullname": "sqlglot.expressions.Condition.isin", "modulename": "sqlglot.expressions", "qualname": "Condition.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Condition.between": {"fullname": "sqlglot.expressions.Condition.between", "modulename": "sqlglot.expressions", "qualname": "Condition.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlow: Any,\thigh: Any,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Between:", "funcdef": "def"}, "sqlglot.expressions.Condition.is_": {"fullname": "sqlglot.expressions.Condition.is_", "modulename": "sqlglot.expressions", "qualname": "Condition.is_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Is:", "funcdef": "def"}, "sqlglot.expressions.Condition.like": {"fullname": "sqlglot.expressions.Condition.like", "modulename": "sqlglot.expressions", "qualname": "Condition.like", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Like:", "funcdef": "def"}, "sqlglot.expressions.Condition.ilike": {"fullname": "sqlglot.expressions.Condition.ilike", "modulename": "sqlglot.expressions", "qualname": "Condition.ilike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.ILike:", "funcdef": "def"}, "sqlglot.expressions.Condition.eq": {"fullname": "sqlglot.expressions.Condition.eq", "modulename": "sqlglot.expressions", "qualname": "Condition.eq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.EQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.neq": {"fullname": "sqlglot.expressions.Condition.neq", "modulename": "sqlglot.expressions", "qualname": "Condition.neq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.NEQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.rlike": {"fullname": "sqlglot.expressions.Condition.rlike", "modulename": "sqlglot.expressions", "qualname": "Condition.rlike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.RegexpLike:", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "

Relationships like x = y, x > 1, x >= y.

\n", "bases": "Condition"}, "sqlglot.expressions.DerivedTable": {"fullname": "sqlglot.expressions.DerivedTable", "modulename": "sqlglot.expressions", "qualname": "DerivedTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable": {"fullname": "sqlglot.expressions.Unionable", "modulename": "sqlglot.expressions", "qualname": "Unionable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable.union": {"fullname": "sqlglot.expressions.Unionable.union", "modulename": "sqlglot.expressions", "qualname": "Unionable.union", "kind": "function", "doc": "

Builds a UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Union expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Unionable:", "funcdef": "def"}, "sqlglot.expressions.Unionable.intersect": {"fullname": "sqlglot.expressions.Unionable.intersect", "modulename": "sqlglot.expressions", "qualname": "Unionable.intersect", "kind": "function", "doc": "

Builds an INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Intersect expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Unionable:", "funcdef": "def"}, "sqlglot.expressions.Unionable.except_": {"fullname": "sqlglot.expressions.Unionable.except_", "modulename": "sqlglot.expressions", "qualname": "Unionable.except_", "kind": "function", "doc": "

Builds an EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Except expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Unionable:", "funcdef": "def"}, "sqlglot.expressions.UDTF": {"fullname": "sqlglot.expressions.UDTF", "modulename": "sqlglot.expressions", "qualname": "UDTF", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Cache": {"fullname": "sqlglot.expressions.Cache", "modulename": "sqlglot.expressions", "qualname": "Cache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Uncache": {"fullname": "sqlglot.expressions.Uncache", "modulename": "sqlglot.expressions", "qualname": "Uncache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Create": {"fullname": "sqlglot.expressions.Create", "modulename": "sqlglot.expressions", "qualname": "Create", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Clone": {"fullname": "sqlglot.expressions.Clone", "modulename": "sqlglot.expressions", "qualname": "Clone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Describe": {"fullname": "sqlglot.expressions.Describe", "modulename": "sqlglot.expressions", "qualname": "Describe", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Pragma": {"fullname": "sqlglot.expressions.Pragma", "modulename": "sqlglot.expressions", "qualname": "Pragma", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Set": {"fullname": "sqlglot.expressions.Set", "modulename": "sqlglot.expressions", "qualname": "Set", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetItem": {"fullname": "sqlglot.expressions.SetItem", "modulename": "sqlglot.expressions", "qualname": "SetItem", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Show": {"fullname": "sqlglot.expressions.Show", "modulename": "sqlglot.expressions", "qualname": "Show", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.UserDefinedFunction": {"fullname": "sqlglot.expressions.UserDefinedFunction", "modulename": "sqlglot.expressions", "qualname": "UserDefinedFunction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CharacterSet": {"fullname": "sqlglot.expressions.CharacterSet", "modulename": "sqlglot.expressions", "qualname": "CharacterSet", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.With": {"fullname": "sqlglot.expressions.With", "modulename": "sqlglot.expressions", "qualname": "With", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WithinGroup": {"fullname": "sqlglot.expressions.WithinGroup", "modulename": "sqlglot.expressions", "qualname": "WithinGroup", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CTE": {"fullname": "sqlglot.expressions.CTE", "modulename": "sqlglot.expressions", "qualname": "CTE", "kind": "class", "doc": "

\n", "bases": "DerivedTable"}, "sqlglot.expressions.TableAlias": {"fullname": "sqlglot.expressions.TableAlias", "modulename": "sqlglot.expressions", "qualname": "TableAlias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.BitString": {"fullname": "sqlglot.expressions.BitString", "modulename": "sqlglot.expressions", "qualname": "BitString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.HexString": {"fullname": "sqlglot.expressions.HexString", "modulename": "sqlglot.expressions", "qualname": "HexString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.ByteString": {"fullname": "sqlglot.expressions.ByteString", "modulename": "sqlglot.expressions", "qualname": "ByteString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.RawString": {"fullname": "sqlglot.expressions.RawString", "modulename": "sqlglot.expressions", "qualname": "RawString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column": {"fullname": "sqlglot.expressions.Column", "modulename": "sqlglot.expressions", "qualname": "Column", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column.output_name": {"fullname": "sqlglot.expressions.Column.output_name", "modulename": "sqlglot.expressions", "qualname": "Column.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Column.parts": {"fullname": "sqlglot.expressions.Column.parts", "modulename": "sqlglot.expressions", "qualname": "Column.parts", "kind": "variable", "doc": "

Return the parts of a column in order catalog, db, table, name.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.Column.to_dot": {"fullname": "sqlglot.expressions.Column.to_dot", "modulename": "sqlglot.expressions", "qualname": "Column.to_dot", "kind": "function", "doc": "

Converts the column into a dot expression.

\n", "signature": "(self) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.ColumnPosition": {"fullname": "sqlglot.expressions.ColumnPosition", "modulename": "sqlglot.expressions", "qualname": "ColumnPosition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnDef": {"fullname": "sqlglot.expressions.ColumnDef", "modulename": "sqlglot.expressions", "qualname": "ColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterColumn": {"fullname": "sqlglot.expressions.AlterColumn", "modulename": "sqlglot.expressions", "qualname": "AlterColumn", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RenameTable": {"fullname": "sqlglot.expressions.RenameTable", "modulename": "sqlglot.expressions", "qualname": "RenameTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetTag": {"fullname": "sqlglot.expressions.SetTag", "modulename": "sqlglot.expressions", "qualname": "SetTag", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Comment": {"fullname": "sqlglot.expressions.Comment", "modulename": "sqlglot.expressions", "qualname": "Comment", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.MergeTreeTTLAction": {"fullname": "sqlglot.expressions.MergeTreeTTLAction", "modulename": "sqlglot.expressions", "qualname": "MergeTreeTTLAction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.MergeTreeTTL": {"fullname": "sqlglot.expressions.MergeTreeTTL", "modulename": "sqlglot.expressions", "qualname": "MergeTreeTTL", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraint": {"fullname": "sqlglot.expressions.ColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraintKind": {"fullname": "sqlglot.expressions.ColumnConstraintKind", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraintKind", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"fullname": "sqlglot.expressions.AutoIncrementColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"fullname": "sqlglot.expressions.CaseSpecificColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CaseSpecificColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CharacterSetColumnConstraint": {"fullname": "sqlglot.expressions.CharacterSetColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CharacterSetColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CheckColumnConstraint": {"fullname": "sqlglot.expressions.CheckColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CheckColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CollateColumnConstraint": {"fullname": "sqlglot.expressions.CollateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CollateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CommentColumnConstraint": {"fullname": "sqlglot.expressions.CommentColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CommentColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CompressColumnConstraint": {"fullname": "sqlglot.expressions.CompressColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CompressColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DateFormatColumnConstraint": {"fullname": "sqlglot.expressions.DateFormatColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DateFormatColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DefaultColumnConstraint": {"fullname": "sqlglot.expressions.DefaultColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DefaultColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.EncodeColumnConstraint": {"fullname": "sqlglot.expressions.EncodeColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "EncodeColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"fullname": "sqlglot.expressions.GeneratedAsIdentityColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "GeneratedAsIdentityColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.InlineLengthColumnConstraint": {"fullname": "sqlglot.expressions.InlineLengthColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "InlineLengthColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.NotNullColumnConstraint": {"fullname": "sqlglot.expressions.NotNullColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "NotNullColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.OnUpdateColumnConstraint": {"fullname": "sqlglot.expressions.OnUpdateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "OnUpdateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"fullname": "sqlglot.expressions.PrimaryKeyColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PrimaryKeyColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.TitleColumnConstraint": {"fullname": "sqlglot.expressions.TitleColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "TitleColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UniqueColumnConstraint": {"fullname": "sqlglot.expressions.UniqueColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UniqueColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UppercaseColumnConstraint": {"fullname": "sqlglot.expressions.UppercaseColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UppercaseColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PathColumnConstraint": {"fullname": "sqlglot.expressions.PathColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PathColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.Constraint": {"fullname": "sqlglot.expressions.Constraint", "modulename": "sqlglot.expressions", "qualname": "Constraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete": {"fullname": "sqlglot.expressions.Delete", "modulename": "sqlglot.expressions", "qualname": "Delete", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete.delete": {"fullname": "sqlglot.expressions.Delete.delete", "modulename": "sqlglot.expressions", "qualname": "Delete.delete", "kind": "function", "doc": "

Create a DELETE expression or replace the table on an existing DELETE expression.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").sql()\n'DELETE FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table: the table from which to delete.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.where": {"fullname": "sqlglot.expressions.Delete.where", "modulename": "sqlglot.expressions", "qualname": "Delete.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").where("x = 'a' OR x < 'b'").sql()\n"DELETE FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.returning": {"fullname": "sqlglot.expressions.Delete.returning", "modulename": "sqlglot.expressions", "qualname": "Delete.returning", "kind": "function", "doc": "

Set the RETURNING expression. Not supported by all dialects.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").returning("*", dialect="postgres").sql()\n'DELETE FROM tbl RETURNING *'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Drop": {"fullname": "sqlglot.expressions.Drop", "modulename": "sqlglot.expressions", "qualname": "Drop", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Filter": {"fullname": "sqlglot.expressions.Filter", "modulename": "sqlglot.expressions", "qualname": "Filter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Check": {"fullname": "sqlglot.expressions.Check", "modulename": "sqlglot.expressions", "qualname": "Check", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Directory": {"fullname": "sqlglot.expressions.Directory", "modulename": "sqlglot.expressions", "qualname": "Directory", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ForeignKey": {"fullname": "sqlglot.expressions.ForeignKey", "modulename": "sqlglot.expressions", "qualname": "ForeignKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.PrimaryKey": {"fullname": "sqlglot.expressions.PrimaryKey", "modulename": "sqlglot.expressions", "qualname": "PrimaryKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unique": {"fullname": "sqlglot.expressions.Unique", "modulename": "sqlglot.expressions", "qualname": "Unique", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Into": {"fullname": "sqlglot.expressions.Into", "modulename": "sqlglot.expressions", "qualname": "Into", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.From": {"fullname": "sqlglot.expressions.From", "modulename": "sqlglot.expressions", "qualname": "From", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Having": {"fullname": "sqlglot.expressions.Having", "modulename": "sqlglot.expressions", "qualname": "Having", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Hint": {"fullname": "sqlglot.expressions.Hint", "modulename": "sqlglot.expressions", "qualname": "Hint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JoinHint": {"fullname": "sqlglot.expressions.JoinHint", "modulename": "sqlglot.expressions", "qualname": "JoinHint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier": {"fullname": "sqlglot.expressions.Identifier", "modulename": "sqlglot.expressions", "qualname": "Identifier", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier.output_name": {"fullname": "sqlglot.expressions.Identifier.output_name", "modulename": "sqlglot.expressions", "qualname": "Identifier.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Index": {"fullname": "sqlglot.expressions.Index", "modulename": "sqlglot.expressions", "qualname": "Index", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert": {"fullname": "sqlglot.expressions.Insert", "modulename": "sqlglot.expressions", "qualname": "Insert", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert.with_": {"fullname": "sqlglot.expressions.Insert.with_", "modulename": "sqlglot.expressions", "qualname": "Insert.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()\n'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.OnConflict": {"fullname": "sqlglot.expressions.OnConflict", "modulename": "sqlglot.expressions", "qualname": "OnConflict", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Returning": {"fullname": "sqlglot.expressions.Returning", "modulename": "sqlglot.expressions", "qualname": "Returning", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Introducer": {"fullname": "sqlglot.expressions.Introducer", "modulename": "sqlglot.expressions", "qualname": "Introducer", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.National": {"fullname": "sqlglot.expressions.National", "modulename": "sqlglot.expressions", "qualname": "National", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.LoadData": {"fullname": "sqlglot.expressions.LoadData", "modulename": "sqlglot.expressions", "qualname": "LoadData", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Partition": {"fullname": "sqlglot.expressions.Partition", "modulename": "sqlglot.expressions", "qualname": "Partition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Fetch": {"fullname": "sqlglot.expressions.Fetch", "modulename": "sqlglot.expressions", "qualname": "Fetch", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Group": {"fullname": "sqlglot.expressions.Group", "modulename": "sqlglot.expressions", "qualname": "Group", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lambda": {"fullname": "sqlglot.expressions.Lambda", "modulename": "sqlglot.expressions", "qualname": "Lambda", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Limit": {"fullname": "sqlglot.expressions.Limit", "modulename": "sqlglot.expressions", "qualname": "Limit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Literal": {"fullname": "sqlglot.expressions.Literal", "modulename": "sqlglot.expressions", "qualname": "Literal", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Literal.number": {"fullname": "sqlglot.expressions.Literal.number", "modulename": "sqlglot.expressions", "qualname": "Literal.number", "kind": "function", "doc": "

\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "

\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Join": {"fullname": "sqlglot.expressions.Join", "modulename": "sqlglot.expressions", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Join.on": {"fullname": "sqlglot.expressions.Join.on", "modulename": "sqlglot.expressions", "qualname": "Join.on", "kind": "function", "doc": "

Append to or set the ON expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Join expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Join:", "funcdef": "def"}, "sqlglot.expressions.Join.using": {"fullname": "sqlglot.expressions.Join.using", "modulename": "sqlglot.expressions", "qualname": "Join.using", "kind": "function", "doc": "

Append to or set the USING expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Join expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Join:", "funcdef": "def"}, "sqlglot.expressions.Lateral": {"fullname": "sqlglot.expressions.Lateral", "modulename": "sqlglot.expressions", "qualname": "Lateral", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.MatchRecognize": {"fullname": "sqlglot.expressions.MatchRecognize", "modulename": "sqlglot.expressions", "qualname": "MatchRecognize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Final": {"fullname": "sqlglot.expressions.Final", "modulename": "sqlglot.expressions", "qualname": "Final", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Offset": {"fullname": "sqlglot.expressions.Offset", "modulename": "sqlglot.expressions", "qualname": "Offset", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Order": {"fullname": "sqlglot.expressions.Order", "modulename": "sqlglot.expressions", "qualname": "Order", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Cluster": {"fullname": "sqlglot.expressions.Cluster", "modulename": "sqlglot.expressions", "qualname": "Cluster", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Distribute": {"fullname": "sqlglot.expressions.Distribute", "modulename": "sqlglot.expressions", "qualname": "Distribute", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Sort": {"fullname": "sqlglot.expressions.Sort", "modulename": "sqlglot.expressions", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Ordered": {"fullname": "sqlglot.expressions.Ordered", "modulename": "sqlglot.expressions", "qualname": "Ordered", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Property": {"fullname": "sqlglot.expressions.Property", "modulename": "sqlglot.expressions", "qualname": "Property", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlgorithmProperty": {"fullname": "sqlglot.expressions.AlgorithmProperty", "modulename": "sqlglot.expressions", "qualname": "AlgorithmProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.AutoIncrementProperty": {"fullname": "sqlglot.expressions.AutoIncrementProperty", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.BlockCompressionProperty": {"fullname": "sqlglot.expressions.BlockCompressionProperty", "modulename": "sqlglot.expressions", "qualname": "BlockCompressionProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CharacterSetProperty": {"fullname": "sqlglot.expressions.CharacterSetProperty", "modulename": "sqlglot.expressions", "qualname": "CharacterSetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ChecksumProperty": {"fullname": "sqlglot.expressions.ChecksumProperty", "modulename": "sqlglot.expressions", "qualname": "ChecksumProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CollateProperty": {"fullname": "sqlglot.expressions.CollateProperty", "modulename": "sqlglot.expressions", "qualname": "CollateProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DataBlocksizeProperty": {"fullname": "sqlglot.expressions.DataBlocksizeProperty", "modulename": "sqlglot.expressions", "qualname": "DataBlocksizeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DefinerProperty": {"fullname": "sqlglot.expressions.DefinerProperty", "modulename": "sqlglot.expressions", "qualname": "DefinerProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistKeyProperty": {"fullname": "sqlglot.expressions.DistKeyProperty", "modulename": "sqlglot.expressions", "qualname": "DistKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistStyleProperty": {"fullname": "sqlglot.expressions.DistStyleProperty", "modulename": "sqlglot.expressions", "qualname": "DistStyleProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.EngineProperty": {"fullname": "sqlglot.expressions.EngineProperty", "modulename": "sqlglot.expressions", "qualname": "EngineProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExecuteAsProperty": {"fullname": "sqlglot.expressions.ExecuteAsProperty", "modulename": "sqlglot.expressions", "qualname": "ExecuteAsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExternalProperty": {"fullname": "sqlglot.expressions.ExternalProperty", "modulename": "sqlglot.expressions", "qualname": "ExternalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FallbackProperty": {"fullname": "sqlglot.expressions.FallbackProperty", "modulename": "sqlglot.expressions", "qualname": "FallbackProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FileFormatProperty": {"fullname": "sqlglot.expressions.FileFormatProperty", "modulename": "sqlglot.expressions", "qualname": "FileFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FreespaceProperty": {"fullname": "sqlglot.expressions.FreespaceProperty", "modulename": "sqlglot.expressions", "qualname": "FreespaceProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.InputOutputFormat": {"fullname": "sqlglot.expressions.InputOutputFormat", "modulename": "sqlglot.expressions", "qualname": "InputOutputFormat", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.IsolatedLoadingProperty": {"fullname": "sqlglot.expressions.IsolatedLoadingProperty", "modulename": "sqlglot.expressions", "qualname": "IsolatedLoadingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.JournalProperty": {"fullname": "sqlglot.expressions.JournalProperty", "modulename": "sqlglot.expressions", "qualname": "JournalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LanguageProperty": {"fullname": "sqlglot.expressions.LanguageProperty", "modulename": "sqlglot.expressions", "qualname": "LanguageProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LikeProperty": {"fullname": "sqlglot.expressions.LikeProperty", "modulename": "sqlglot.expressions", "qualname": "LikeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LocationProperty": {"fullname": "sqlglot.expressions.LocationProperty", "modulename": "sqlglot.expressions", "qualname": "LocationProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LockingProperty": {"fullname": "sqlglot.expressions.LockingProperty", "modulename": "sqlglot.expressions", "qualname": "LockingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LogProperty": {"fullname": "sqlglot.expressions.LogProperty", "modulename": "sqlglot.expressions", "qualname": "LogProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MaterializedProperty": {"fullname": "sqlglot.expressions.MaterializedProperty", "modulename": "sqlglot.expressions", "qualname": "MaterializedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MergeBlockRatioProperty": {"fullname": "sqlglot.expressions.MergeBlockRatioProperty", "modulename": "sqlglot.expressions", "qualname": "MergeBlockRatioProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.NoPrimaryIndexProperty": {"fullname": "sqlglot.expressions.NoPrimaryIndexProperty", "modulename": "sqlglot.expressions", "qualname": "NoPrimaryIndexProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.OnCommitProperty": {"fullname": "sqlglot.expressions.OnCommitProperty", "modulename": "sqlglot.expressions", "qualname": "OnCommitProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.PartitionedByProperty": {"fullname": "sqlglot.expressions.PartitionedByProperty", "modulename": "sqlglot.expressions", "qualname": "PartitionedByProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ReturnsProperty": {"fullname": "sqlglot.expressions.ReturnsProperty", "modulename": "sqlglot.expressions", "qualname": "ReturnsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatProperty": {"fullname": "sqlglot.expressions.RowFormatProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatDelimitedProperty": {"fullname": "sqlglot.expressions.RowFormatDelimitedProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatDelimitedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatSerdeProperty": {"fullname": "sqlglot.expressions.RowFormatSerdeProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatSerdeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SchemaCommentProperty": {"fullname": "sqlglot.expressions.SchemaCommentProperty", "modulename": "sqlglot.expressions", "qualname": "SchemaCommentProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SerdeProperties": {"fullname": "sqlglot.expressions.SerdeProperties", "modulename": "sqlglot.expressions", "qualname": "SerdeProperties", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SetProperty": {"fullname": "sqlglot.expressions.SetProperty", "modulename": "sqlglot.expressions", "qualname": "SetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SettingsProperty": {"fullname": "sqlglot.expressions.SettingsProperty", "modulename": "sqlglot.expressions", "qualname": "SettingsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SortKeyProperty": {"fullname": "sqlglot.expressions.SortKeyProperty", "modulename": "sqlglot.expressions", "qualname": "SortKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SqlSecurityProperty": {"fullname": "sqlglot.expressions.SqlSecurityProperty", "modulename": "sqlglot.expressions", "qualname": "SqlSecurityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.StabilityProperty": {"fullname": "sqlglot.expressions.StabilityProperty", "modulename": "sqlglot.expressions", "qualname": "StabilityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TemporaryProperty": {"fullname": "sqlglot.expressions.TemporaryProperty", "modulename": "sqlglot.expressions", "qualname": "TemporaryProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TransientProperty": {"fullname": "sqlglot.expressions.TransientProperty", "modulename": "sqlglot.expressions", "qualname": "TransientProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.VolatileProperty": {"fullname": "sqlglot.expressions.VolatileProperty", "modulename": "sqlglot.expressions", "qualname": "VolatileProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithDataProperty": {"fullname": "sqlglot.expressions.WithDataProperty", "modulename": "sqlglot.expressions", "qualname": "WithDataProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithJournalTableProperty": {"fullname": "sqlglot.expressions.WithJournalTableProperty", "modulename": "sqlglot.expressions", "qualname": "WithJournalTableProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.Properties": {"fullname": "sqlglot.expressions.Properties", "modulename": "sqlglot.expressions", "qualname": "Properties", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Properties.Location": {"fullname": "sqlglot.expressions.Properties.Location", "modulename": "sqlglot.expressions", "qualname": "Properties.Location", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "

\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "

\n", "signature": "(cls, properties_dict: Dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Return": {"fullname": "sqlglot.expressions.Return", "modulename": "sqlglot.expressions", "qualname": "Return", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Reference": {"fullname": "sqlglot.expressions.Reference", "modulename": "sqlglot.expressions", "qualname": "Reference", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple": {"fullname": "sqlglot.expressions.Tuple", "modulename": "sqlglot.expressions", "qualname": "Tuple", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple.isin": {"fullname": "sqlglot.expressions.Tuple.isin", "modulename": "sqlglot.expressions", "qualname": "Tuple.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "

\n", "bases": "Unionable"}, "sqlglot.expressions.Subqueryable.subquery": {"fullname": "sqlglot.expressions.Subqueryable.subquery", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.subquery", "kind": "function", "doc": "

Convert this expression to an aliased expression that can be used as a Subquery.

\n\n
Example:
\n\n
\n
\n
>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Identifier): an optional alias for the subquery
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the subquery

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.with_": {"fullname": "sqlglot.expressions.Subqueryable.with_", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Subqueryable:", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Table.parts": {"fullname": "sqlglot.expressions.Table.parts", "modulename": "sqlglot.expressions", "qualname": "Table.parts", "kind": "variable", "doc": "

Return the parts of a table in order catalog, db, table.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Union": {"fullname": "sqlglot.expressions.Union", "modulename": "sqlglot.expressions", "qualname": "Union", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The limited subqueryable.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Union.select": {"fullname": "sqlglot.expressions.Union.select", "modulename": "sqlglot.expressions", "qualname": "Union.select", "kind": "function", "doc": "

Append to or set the SELECT of the union recursively.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Union: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.Union.is_star": {"fullname": "sqlglot.expressions.Union.is_star", "modulename": "sqlglot.expressions", "qualname": "Union.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Except": {"fullname": "sqlglot.expressions.Except", "modulename": "sqlglot.expressions", "qualname": "Except", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Intersect": {"fullname": "sqlglot.expressions.Intersect", "modulename": "sqlglot.expressions", "qualname": "Intersect", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Unnest": {"fullname": "sqlglot.expressions.Unnest", "modulename": "sqlglot.expressions", "qualname": "Unnest", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Update": {"fullname": "sqlglot.expressions.Update", "modulename": "sqlglot.expressions", "qualname": "Update", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Values": {"fullname": "sqlglot.expressions.Values", "modulename": "sqlglot.expressions", "qualname": "Values", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Var": {"fullname": "sqlglot.expressions.Var", "modulename": "sqlglot.expressions", "qualname": "Var", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Schema": {"fullname": "sqlglot.expressions.Schema", "modulename": "sqlglot.expressions", "qualname": "Schema", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lock": {"fullname": "sqlglot.expressions.Lock", "modulename": "sqlglot.expressions", "qualname": "Lock", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Select": {"fullname": "sqlglot.expressions.Select", "modulename": "sqlglot.expressions", "qualname": "Select", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "

Set the FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression : the SQL code strings to parse.\nIf a From instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a From.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.group_by": {"fullname": "sqlglot.expressions.Select.group_by", "modulename": "sqlglot.expressions", "qualname": "Select.group_by", "kind": "function", "doc": "

Set the GROUP BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Group.\nIf nothing is passed in then a group by is not applied to the expression
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Group expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.order_by": {"fullname": "sqlglot.expressions.Select.order_by", "modulename": "sqlglot.expressions", "qualname": "Select.order_by", "kind": "function", "doc": "

Set the ORDER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Order.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.sort_by": {"fullname": "sqlglot.expressions.Select.sort_by", "modulename": "sqlglot.expressions", "qualname": "Select.sort_by", "kind": "function", "doc": "

Set the SORT BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl SORT BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a SORT.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.cluster_by": {"fullname": "sqlglot.expressions.Select.cluster_by", "modulename": "sqlglot.expressions", "qualname": "Select.cluster_by", "kind": "function", "doc": "

Set the CLUSTER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Cluster.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.limit": {"fullname": "sqlglot.expressions.Select.limit", "modulename": "sqlglot.expressions", "qualname": "Select.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.offset": {"fullname": "sqlglot.expressions.Select.offset", "modulename": "sqlglot.expressions", "qualname": "Select.offset", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Offset instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Offset.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.select": {"fullname": "sqlglot.expressions.Select.select", "modulename": "sqlglot.expressions", "qualname": "Select.select", "kind": "function", "doc": "

Append to or set the SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.lateral": {"fullname": "sqlglot.expressions.Select.lateral", "modulename": "sqlglot.expressions", "qualname": "Select.lateral", "kind": "function", "doc": "

Append to or set the LATERAL expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.join": {"fullname": "sqlglot.expressions.Select.join", "modulename": "sqlglot.expressions", "qualname": "Select.join", "kind": "function", "doc": "

Append to or set the JOIN expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n \n
\n
>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
\n
\n \n

Use join_type to change the type of join:

\n \n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • on: optionally specify the join \"on\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • using: optionally specify the join \"using\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • join_type: if set, alter the parsed join type.
    • \n
  • join_alias: an optional alias for the joined source.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\ton: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tusing: Union[str, sqlglot.expressions.Expression, List[Union[str, sqlglot.expressions.Expression]], NoneType] = None,\tappend: bool = True,\tjoin_type: Optional[str] = None,\tjoin_alias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.having": {"fullname": "sqlglot.expressions.Select.having", "modulename": "sqlglot.expressions", "qualname": "Select.having", "kind": "function", "doc": "

Append to or set the HAVING expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.window": {"fullname": "sqlglot.expressions.Select.window", "modulename": "sqlglot.expressions", "qualname": "Select.window", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.qualify": {"fullname": "sqlglot.expressions.Select.qualify", "modulename": "sqlglot.expressions", "qualname": "Select.qualify", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • ons: the expressions to distinct on
    • \n
  • distinct: whether the Select should be distinct
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*ons: Union[str, sqlglot.expressions.Expression, NoneType],\tdistinct: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "

Convert this expression to a CREATE TABLE AS statement.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table: the SQL code string to parse as the table name.\nIf another Expression instance is passed, it will be used as-is.
    • \n
  • properties: an optional mapping of table properties
    • \n
  • dialect: the dialect used to parse the input table.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input table.
    • \n
\n\n
Returns:
\n\n
\n

The new Create expression.

\n
\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tproperties: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "

Set the locking read mode for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n
\n \n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • update: if True, the locking type will be FOR UPDATE, else it will be FOR SHARE.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "

Returns the first non subquery.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "

Tags are used for generating arbitrary sql like SELECT x.

\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.DataTypeSize": {"fullname": "sqlglot.expressions.DataTypeSize", "modulename": "sqlglot.expressions", "qualname": "DataTypeSize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.ARRAY": {"fullname": "sqlglot.expressions.DataType.Type.ARRAY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<Type.ARRAY: 'ARRAY'>"}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGDECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGDECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGDECIMAL: 'BIGDECIMAL'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.BIT": {"fullname": "sqlglot.expressions.DataType.Type.BIT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIT: 'BIT'>"}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"fullname": "sqlglot.expressions.DataType.Type.BOOLEAN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<Type.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.DATE": {"fullname": "sqlglot.expressions.DataType.Type.DATE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATE: 'DATE'>"}, "sqlglot.expressions.DataType.Type.DATETIME": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME: 'DATETIME'>"}, "sqlglot.expressions.DataType.Type.DATETIME64": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME64", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME64", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME64: 'DATETIME64'>"}, "sqlglot.expressions.DataType.Type.DECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.DECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.DECIMAL: 'DECIMAL'>"}, "sqlglot.expressions.DataType.Type.DOUBLE": {"fullname": "sqlglot.expressions.DataType.Type.DOUBLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DOUBLE: 'DOUBLE'>"}, "sqlglot.expressions.DataType.Type.FLOAT": {"fullname": "sqlglot.expressions.DataType.Type.FLOAT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<Type.FLOAT: 'FLOAT'>"}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"fullname": "sqlglot.expressions.DataType.Type.GEOGRAPHY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"fullname": "sqlglot.expressions.DataType.Type.GEOMETRY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.INET": {"fullname": "sqlglot.expressions.DataType.Type.INET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INET", "kind": "variable", "doc": "

\n", "default_value": "<Type.INET: 'INET'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT: 'INT'>"}, "sqlglot.expressions.DataType.Type.INT128": {"fullname": "sqlglot.expressions.DataType.Type.INT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT128: 'INT128'>"}, "sqlglot.expressions.DataType.Type.INT256": {"fullname": "sqlglot.expressions.DataType.Type.INT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT256: 'INT256'>"}, "sqlglot.expressions.DataType.Type.INTERVAL": {"fullname": "sqlglot.expressions.DataType.Type.INTERVAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.INTERVAL: 'INTERVAL'>"}, "sqlglot.expressions.DataType.Type.JSON": {"fullname": "sqlglot.expressions.DataType.Type.JSON", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSON", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSON: 'JSON'>"}, "sqlglot.expressions.DataType.Type.JSONB": {"fullname": "sqlglot.expressions.DataType.Type.JSONB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSONB: 'JSONB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MAP": {"fullname": "sqlglot.expressions.DataType.Type.MAP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MAP", "kind": "variable", "doc": "

\n", "default_value": "<Type.MAP: 'MAP'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.MONEY": {"fullname": "sqlglot.expressions.DataType.Type.MONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.NULL": {"fullname": "sqlglot.expressions.DataType.Type.NULL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULL", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULL: 'NULL'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.OBJECT": {"fullname": "sqlglot.expressions.DataType.Type.OBJECT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<Type.OBJECT: 'OBJECT'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.TIME": {"fullname": "sqlglot.expressions.DataType.Type.TIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIME: 'TIME'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.expressions.DataType.Type.TINYINT": {"fullname": "sqlglot.expressions.DataType.Type.TINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TINYINT: 'TINYINT'>"}, "sqlglot.expressions.DataType.Type.UBIGINT": {"fullname": "sqlglot.expressions.DataType.Type.UBIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UBIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UBIGINT: 'UBIGINT'>"}, "sqlglot.expressions.DataType.Type.UINT": {"fullname": "sqlglot.expressions.DataType.Type.UINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT: 'UINT'>"}, "sqlglot.expressions.DataType.Type.USMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.USMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.USMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.USMALLINT: 'USMALLINT'>"}, "sqlglot.expressions.DataType.Type.UTINYINT": {"fullname": "sqlglot.expressions.DataType.Type.UTINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UTINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UTINYINT: 'UTINYINT'>"}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"fullname": "sqlglot.expressions.DataType.Type.UNKNOWN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNKNOWN", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNKNOWN: 'UNKNOWN'>"}, "sqlglot.expressions.DataType.Type.UINT128": {"fullname": "sqlglot.expressions.DataType.Type.UINT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT128: 'UINT128'>"}, "sqlglot.expressions.DataType.Type.UINT256": {"fullname": "sqlglot.expressions.DataType.Type.UINT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT256: 'UINT256'>"}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"fullname": "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.expressions.DataType.Type.UUID": {"fullname": "sqlglot.expressions.DataType.Type.UUID", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UUID", "kind": "variable", "doc": "

\n", "default_value": "<Type.UUID: 'UUID'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARIANT: 'VARIANT'>"}, "sqlglot.expressions.DataType.Type.XML": {"fullname": "sqlglot.expressions.DataType.Type.XML", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.XML", "kind": "variable", "doc": "

\n", "default_value": "<Type.XML: 'XML'>"}, "sqlglot.expressions.DataType.build": {"fullname": "sqlglot.expressions.DataType.build", "modulename": "sqlglot.expressions", "qualname": "DataType.build", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdtype: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.expressions.DataType.is_type": {"fullname": "sqlglot.expressions.DataType.is_type", "modulename": "sqlglot.expressions", "qualname": "DataType.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.PseudoType": {"fullname": "sqlglot.expressions.PseudoType", "modulename": "sqlglot.expressions", "qualname": "PseudoType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SubqueryPredicate": {"fullname": "sqlglot.expressions.SubqueryPredicate", "modulename": "sqlglot.expressions", "qualname": "SubqueryPredicate", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.All": {"fullname": "sqlglot.expressions.All", "modulename": "sqlglot.expressions", "qualname": "All", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Any": {"fullname": "sqlglot.expressions.Any", "modulename": "sqlglot.expressions", "qualname": "Any", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Exists": {"fullname": "sqlglot.expressions.Exists", "modulename": "sqlglot.expressions", "qualname": "Exists", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Overlaps": {"fullname": "sqlglot.expressions.Overlaps", "modulename": "sqlglot.expressions", "qualname": "Overlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot.build": {"fullname": "sqlglot.expressions.Dot.build", "modulename": "sqlglot.expressions", "qualname": "Dot.build", "kind": "function", "doc": "

Build a Dot object with a sequence of expressions.

\n", "signature": "(\tself,\texpressions: Sequence[sqlglot.expressions.Expression]) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "

Kwarg in special functions like func(kwarg => y).

\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayOverlaps": {"fullname": "sqlglot.expressions.ArrayOverlaps", "modulename": "sqlglot.expressions", "qualname": "ArrayOverlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "

Automatically converts unit arg into a var.

\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "

\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "

\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "

The base class for all function expressions.

\n\n
Attributes:
\n\n
    \n
  • is_var_len_args (bool): if set to True the last argument defined in arg_types will be\ntreated as a variable length argument and the argument's value will be stored as a list.
    • \n
  • _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)\nfor this function expression. These values are used to map this node to a name during parsing\nas well as to provide the function's name during SQL string generation. By default the SQL\nname is set to the expression's class name transformed to snake case.
    • \n
\n", "bases": "Condition"}, "sqlglot.expressions.Func.from_arg_list": {"fullname": "sqlglot.expressions.Func.from_arg_list", "modulename": "sqlglot.expressions", "qualname": "Func.from_arg_list", "kind": "function", "doc": "

\n", "signature": "(cls, args):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_names": {"fullname": "sqlglot.expressions.Func.sql_names", "modulename": "sqlglot.expressions", "qualname": "Func.sql_names", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_name": {"fullname": "sqlglot.expressions.Func.sql_name", "modulename": "sqlglot.expressions", "qualname": "Func.sql_name", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.default_parser_mappings": {"fullname": "sqlglot.expressions.Func.default_parser_mappings", "modulename": "sqlglot.expressions", "qualname": "Func.default_parser_mappings", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.AggFunc": {"fullname": "sqlglot.expressions.AggFunc", "modulename": "sqlglot.expressions", "qualname": "AggFunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ParameterizedAgg": {"fullname": "sqlglot.expressions.ParameterizedAgg", "modulename": "sqlglot.expressions", "qualname": "ParameterizedAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Abs": {"fullname": "sqlglot.expressions.Abs", "modulename": "sqlglot.expressions", "qualname": "Abs", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Anonymous": {"fullname": "sqlglot.expressions.Anonymous", "modulename": "sqlglot.expressions", "qualname": "Anonymous", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hll": {"fullname": "sqlglot.expressions.Hll", "modulename": "sqlglot.expressions", "qualname": "Hll", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxDistinct": {"fullname": "sqlglot.expressions.ApproxDistinct", "modulename": "sqlglot.expressions", "qualname": "ApproxDistinct", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Array": {"fullname": "sqlglot.expressions.Array", "modulename": "sqlglot.expressions", "qualname": "Array", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ToChar": {"fullname": "sqlglot.expressions.ToChar", "modulename": "sqlglot.expressions", "qualname": "ToChar", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GenerateSeries": {"fullname": "sqlglot.expressions.GenerateSeries", "modulename": "sqlglot.expressions", "qualname": "GenerateSeries", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAgg": {"fullname": "sqlglot.expressions.ArrayAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ArrayAll": {"fullname": "sqlglot.expressions.ArrayAll", "modulename": "sqlglot.expressions", "qualname": "ArrayAll", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAny": {"fullname": "sqlglot.expressions.ArrayAny", "modulename": "sqlglot.expressions", "qualname": "ArrayAny", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayConcat": {"fullname": "sqlglot.expressions.ArrayConcat", "modulename": "sqlglot.expressions", "qualname": "ArrayConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayContains": {"fullname": "sqlglot.expressions.ArrayContains", "modulename": "sqlglot.expressions", "qualname": "ArrayContains", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.ArrayContained": {"fullname": "sqlglot.expressions.ArrayContained", "modulename": "sqlglot.expressions", "qualname": "ArrayContained", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayFilter": {"fullname": "sqlglot.expressions.ArrayFilter", "modulename": "sqlglot.expressions", "qualname": "ArrayFilter", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayJoin": {"fullname": "sqlglot.expressions.ArrayJoin", "modulename": "sqlglot.expressions", "qualname": "ArrayJoin", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySize": {"fullname": "sqlglot.expressions.ArraySize", "modulename": "sqlglot.expressions", "qualname": "ArraySize", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySort": {"fullname": "sqlglot.expressions.ArraySort", "modulename": "sqlglot.expressions", "qualname": "ArraySort", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySum": {"fullname": "sqlglot.expressions.ArraySum", "modulename": "sqlglot.expressions", "qualname": "ArraySum", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayUnionAgg": {"fullname": "sqlglot.expressions.ArrayUnionAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayUnionAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Avg": {"fullname": "sqlglot.expressions.Avg", "modulename": "sqlglot.expressions", "qualname": "Avg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.AnyValue": {"fullname": "sqlglot.expressions.AnyValue", "modulename": "sqlglot.expressions", "qualname": "AnyValue", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Case": {"fullname": "sqlglot.expressions.Case", "modulename": "sqlglot.expressions", "qualname": "Case", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Case.when": {"fullname": "sqlglot.expressions.Case.when", "modulename": "sqlglot.expressions", "qualname": "Case.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tthen: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Case.else_": {"fullname": "sqlglot.expressions.Case.else_", "modulename": "sqlglot.expressions", "qualname": "Case.else_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Cast": {"fullname": "sqlglot.expressions.Cast", "modulename": "sqlglot.expressions", "qualname": "Cast", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast.output_name": {"fullname": "sqlglot.expressions.Cast.output_name", "modulename": "sqlglot.expressions", "qualname": "Cast.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "

\n", "signature": "(self, dtype: sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.CastToStrType": {"fullname": "sqlglot.expressions.CastToStrType", "modulename": "sqlglot.expressions", "qualname": "CastToStrType", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "

\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CountIf": {"fullname": "sqlglot.expressions.CountIf", "modulename": "sqlglot.expressions", "qualname": "CountIf", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentUser": {"fullname": "sqlglot.expressions.CurrentUser", "modulename": "sqlglot.expressions", "qualname": "CurrentUser", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeDiff": {"fullname": "sqlglot.expressions.DatetimeDiff", "modulename": "sqlglot.expressions", "qualname": "DatetimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeTrunc": {"fullname": "sqlglot.expressions.DatetimeTrunc", "modulename": "sqlglot.expressions", "qualname": "DatetimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DayOfWeek": {"fullname": "sqlglot.expressions.DayOfWeek", "modulename": "sqlglot.expressions", "qualname": "DayOfWeek", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfMonth": {"fullname": "sqlglot.expressions.DayOfMonth", "modulename": "sqlglot.expressions", "qualname": "DayOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfYear": {"fullname": "sqlglot.expressions.DayOfYear", "modulename": "sqlglot.expressions", "qualname": "DayOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.WeekOfYear": {"fullname": "sqlglot.expressions.WeekOfYear", "modulename": "sqlglot.expressions", "qualname": "WeekOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LastDateOfMonth": {"fullname": "sqlglot.expressions.LastDateOfMonth", "modulename": "sqlglot.expressions", "qualname": "LastDateOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Extract": {"fullname": "sqlglot.expressions.Extract", "modulename": "sqlglot.expressions", "qualname": "Extract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimestampAdd": {"fullname": "sqlglot.expressions.TimestampAdd", "modulename": "sqlglot.expressions", "qualname": "TimestampAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampSub": {"fullname": "sqlglot.expressions.TimestampSub", "modulename": "sqlglot.expressions", "qualname": "TimestampSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampDiff": {"fullname": "sqlglot.expressions.TimestampDiff", "modulename": "sqlglot.expressions", "qualname": "TimestampDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampTrunc": {"fullname": "sqlglot.expressions.TimestampTrunc", "modulename": "sqlglot.expressions", "qualname": "TimestampTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeAdd": {"fullname": "sqlglot.expressions.TimeAdd", "modulename": "sqlglot.expressions", "qualname": "TimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeSub": {"fullname": "sqlglot.expressions.TimeSub", "modulename": "sqlglot.expressions", "qualname": "TimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeDiff": {"fullname": "sqlglot.expressions.TimeDiff", "modulename": "sqlglot.expressions", "qualname": "TimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeTrunc": {"fullname": "sqlglot.expressions.TimeTrunc", "modulename": "sqlglot.expressions", "qualname": "TimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateFromParts": {"fullname": "sqlglot.expressions.DateFromParts", "modulename": "sqlglot.expressions", "qualname": "DateFromParts", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateStrToDate": {"fullname": "sqlglot.expressions.DateStrToDate", "modulename": "sqlglot.expressions", "qualname": "DateStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDateStr": {"fullname": "sqlglot.expressions.DateToDateStr", "modulename": "sqlglot.expressions", "qualname": "DateToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDi": {"fullname": "sqlglot.expressions.DateToDi", "modulename": "sqlglot.expressions", "qualname": "DateToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Day": {"fullname": "sqlglot.expressions.Day", "modulename": "sqlglot.expressions", "qualname": "Day", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Decode": {"fullname": "sqlglot.expressions.Decode", "modulename": "sqlglot.expressions", "qualname": "Decode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DiToDate": {"fullname": "sqlglot.expressions.DiToDate", "modulename": "sqlglot.expressions", "qualname": "DiToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Encode": {"fullname": "sqlglot.expressions.Encode", "modulename": "sqlglot.expressions", "qualname": "Encode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Exp": {"fullname": "sqlglot.expressions.Exp", "modulename": "sqlglot.expressions", "qualname": "Exp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Explode": {"fullname": "sqlglot.expressions.Explode", "modulename": "sqlglot.expressions", "qualname": "Explode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Floor": {"fullname": "sqlglot.expressions.Floor", "modulename": "sqlglot.expressions", "qualname": "Floor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.FromBase64": {"fullname": "sqlglot.expressions.FromBase64", "modulename": "sqlglot.expressions", "qualname": "FromBase64", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ToBase64": {"fullname": "sqlglot.expressions.ToBase64", "modulename": "sqlglot.expressions", "qualname": "ToBase64", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Greatest": {"fullname": "sqlglot.expressions.Greatest", "modulename": "sqlglot.expressions", "qualname": "Greatest", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GroupConcat": {"fullname": "sqlglot.expressions.GroupConcat", "modulename": "sqlglot.expressions", "qualname": "GroupConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hex": {"fullname": "sqlglot.expressions.Hex", "modulename": "sqlglot.expressions", "qualname": "Hex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.If": {"fullname": "sqlglot.expressions.If", "modulename": "sqlglot.expressions", "qualname": "If", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.IfNull": {"fullname": "sqlglot.expressions.IfNull", "modulename": "sqlglot.expressions", "qualname": "IfNull", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Initcap": {"fullname": "sqlglot.expressions.Initcap", "modulename": "sqlglot.expressions", "qualname": "Initcap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONKeyValue": {"fullname": "sqlglot.expressions.JSONKeyValue", "modulename": "sqlglot.expressions", "qualname": "JSONKeyValue", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JSONObject": {"fullname": "sqlglot.expressions.JSONObject", "modulename": "sqlglot.expressions", "qualname": "JSONObject", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.OpenJSONColumnDef": {"fullname": "sqlglot.expressions.OpenJSONColumnDef", "modulename": "sqlglot.expressions", "qualname": "OpenJSONColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.OpenJSON": {"fullname": "sqlglot.expressions.OpenJSON", "modulename": "sqlglot.expressions", "qualname": "OpenJSON", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONBContains": {"fullname": "sqlglot.expressions.JSONBContains", "modulename": "sqlglot.expressions", "qualname": "JSONBContains", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.JSONExtract": {"fullname": "sqlglot.expressions.JSONExtract", "modulename": "sqlglot.expressions", "qualname": "JSONExtract", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.JSONExtractScalar": {"fullname": "sqlglot.expressions.JSONExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtract": {"fullname": "sqlglot.expressions.JSONBExtract", "modulename": "sqlglot.expressions", "qualname": "JSONBExtract", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtractScalar": {"fullname": "sqlglot.expressions.JSONBExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONBExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONFormat": {"fullname": "sqlglot.expressions.JSONFormat", "modulename": "sqlglot.expressions", "qualname": "JSONFormat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Least": {"fullname": "sqlglot.expressions.Least", "modulename": "sqlglot.expressions", "qualname": "Least", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Length": {"fullname": "sqlglot.expressions.Length", "modulename": "sqlglot.expressions", "qualname": "Length", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Levenshtein": {"fullname": "sqlglot.expressions.Levenshtein", "modulename": "sqlglot.expressions", "qualname": "Levenshtein", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Ln": {"fullname": "sqlglot.expressions.Ln", "modulename": "sqlglot.expressions", "qualname": "Ln", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log": {"fullname": "sqlglot.expressions.Log", "modulename": "sqlglot.expressions", "qualname": "Log", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log2": {"fullname": "sqlglot.expressions.Log2", "modulename": "sqlglot.expressions", "qualname": "Log2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log10": {"fullname": "sqlglot.expressions.Log10", "modulename": "sqlglot.expressions", "qualname": "Log10", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LogicalOr": {"fullname": "sqlglot.expressions.LogicalOr", "modulename": "sqlglot.expressions", "qualname": "LogicalOr", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.LogicalAnd": {"fullname": "sqlglot.expressions.LogicalAnd", "modulename": "sqlglot.expressions", "qualname": "LogicalAnd", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Lower": {"fullname": "sqlglot.expressions.Lower", "modulename": "sqlglot.expressions", "qualname": "Lower", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Map": {"fullname": "sqlglot.expressions.Map", "modulename": "sqlglot.expressions", "qualname": "Map", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StarMap": {"fullname": "sqlglot.expressions.StarMap", "modulename": "sqlglot.expressions", "qualname": "StarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.VarMap": {"fullname": "sqlglot.expressions.VarMap", "modulename": "sqlglot.expressions", "qualname": "VarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.MatchAgainst": {"fullname": "sqlglot.expressions.MatchAgainst", "modulename": "sqlglot.expressions", "qualname": "MatchAgainst", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Max": {"fullname": "sqlglot.expressions.Max", "modulename": "sqlglot.expressions", "qualname": "Max", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.MD5": {"fullname": "sqlglot.expressions.MD5", "modulename": "sqlglot.expressions", "qualname": "MD5", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Min": {"fullname": "sqlglot.expressions.Min", "modulename": "sqlglot.expressions", "qualname": "Min", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Month": {"fullname": "sqlglot.expressions.Month", "modulename": "sqlglot.expressions", "qualname": "Month", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Nvl2": {"fullname": "sqlglot.expressions.Nvl2", "modulename": "sqlglot.expressions", "qualname": "Nvl2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Posexplode": {"fullname": "sqlglot.expressions.Posexplode", "modulename": "sqlglot.expressions", "qualname": "Posexplode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Pow": {"fullname": "sqlglot.expressions.Pow", "modulename": "sqlglot.expressions", "qualname": "Pow", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.PercentileCont": {"fullname": "sqlglot.expressions.PercentileCont", "modulename": "sqlglot.expressions", "qualname": "PercentileCont", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.PercentileDisc": {"fullname": "sqlglot.expressions.PercentileDisc", "modulename": "sqlglot.expressions", "qualname": "PercentileDisc", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantile": {"fullname": "sqlglot.expressions.Quantile", "modulename": "sqlglot.expressions", "qualname": "Quantile", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxQuantile": {"fullname": "sqlglot.expressions.ApproxQuantile", "modulename": "sqlglot.expressions", "qualname": "ApproxQuantile", "kind": "class", "doc": "

\n", "bases": "Quantile"}, "sqlglot.expressions.RangeN": {"fullname": "sqlglot.expressions.RangeN", "modulename": "sqlglot.expressions", "qualname": "RangeN", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ReadCSV": {"fullname": "sqlglot.expressions.ReadCSV", "modulename": "sqlglot.expressions", "qualname": "ReadCSV", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Reduce": {"fullname": "sqlglot.expressions.Reduce", "modulename": "sqlglot.expressions", "qualname": "Reduce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpExtract": {"fullname": "sqlglot.expressions.RegexpExtract", "modulename": "sqlglot.expressions", "qualname": "RegexpExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpLike": {"fullname": "sqlglot.expressions.RegexpLike", "modulename": "sqlglot.expressions", "qualname": "RegexpLike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpILike": {"fullname": "sqlglot.expressions.RegexpILike", "modulename": "sqlglot.expressions", "qualname": "RegexpILike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpSplit": {"fullname": "sqlglot.expressions.RegexpSplit", "modulename": "sqlglot.expressions", "qualname": "RegexpSplit", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Repeat": {"fullname": "sqlglot.expressions.Repeat", "modulename": "sqlglot.expressions", "qualname": "Repeat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Round": {"fullname": "sqlglot.expressions.Round", "modulename": "sqlglot.expressions", "qualname": "Round", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RowNumber": {"fullname": "sqlglot.expressions.RowNumber", "modulename": "sqlglot.expressions", "qualname": "RowNumber", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SafeDivide": {"fullname": "sqlglot.expressions.SafeDivide", "modulename": "sqlglot.expressions", "qualname": "SafeDivide", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SetAgg": {"fullname": "sqlglot.expressions.SetAgg", "modulename": "sqlglot.expressions", "qualname": "SetAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.SHA": {"fullname": "sqlglot.expressions.SHA", "modulename": "sqlglot.expressions", "qualname": "SHA", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SHA2": {"fullname": "sqlglot.expressions.SHA2", "modulename": "sqlglot.expressions", "qualname": "SHA2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SortArray": {"fullname": "sqlglot.expressions.SortArray", "modulename": "sqlglot.expressions", "qualname": "SortArray", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Split": {"fullname": "sqlglot.expressions.Split", "modulename": "sqlglot.expressions", "qualname": "Split", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Substring": {"fullname": "sqlglot.expressions.Substring", "modulename": "sqlglot.expressions", "qualname": "Substring", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StandardHash": {"fullname": "sqlglot.expressions.StandardHash", "modulename": "sqlglot.expressions", "qualname": "StandardHash", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrPosition": {"fullname": "sqlglot.expressions.StrPosition", "modulename": "sqlglot.expressions", "qualname": "StrPosition", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToDate": {"fullname": "sqlglot.expressions.StrToDate", "modulename": "sqlglot.expressions", "qualname": "StrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToTime": {"fullname": "sqlglot.expressions.StrToTime", "modulename": "sqlglot.expressions", "qualname": "StrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToUnix": {"fullname": "sqlglot.expressions.StrToUnix", "modulename": "sqlglot.expressions", "qualname": "StrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NumberToStr": {"fullname": "sqlglot.expressions.NumberToStr", "modulename": "sqlglot.expressions", "qualname": "NumberToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Struct": {"fullname": "sqlglot.expressions.Struct", "modulename": "sqlglot.expressions", "qualname": "Struct", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StructExtract": {"fullname": "sqlglot.expressions.StructExtract", "modulename": "sqlglot.expressions", "qualname": "StructExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Sum": {"fullname": "sqlglot.expressions.Sum", "modulename": "sqlglot.expressions", "qualname": "Sum", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Sqrt": {"fullname": "sqlglot.expressions.Sqrt", "modulename": "sqlglot.expressions", "qualname": "Sqrt", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Stddev": {"fullname": "sqlglot.expressions.Stddev", "modulename": "sqlglot.expressions", "qualname": "Stddev", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevPop": {"fullname": "sqlglot.expressions.StddevPop", "modulename": "sqlglot.expressions", "qualname": "StddevPop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevSamp": {"fullname": "sqlglot.expressions.StddevSamp", "modulename": "sqlglot.expressions", "qualname": "StddevSamp", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.TimeToStr": {"fullname": "sqlglot.expressions.TimeToStr", "modulename": "sqlglot.expressions", "qualname": "TimeToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToTimeStr": {"fullname": "sqlglot.expressions.TimeToTimeStr", "modulename": "sqlglot.expressions", "qualname": "TimeToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToUnix": {"fullname": "sqlglot.expressions.TimeToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToDate": {"fullname": "sqlglot.expressions.TimeStrToDate", "modulename": "sqlglot.expressions", "qualname": "TimeStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToTime": {"fullname": "sqlglot.expressions.TimeStrToTime", "modulename": "sqlglot.expressions", "qualname": "TimeStrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToUnix": {"fullname": "sqlglot.expressions.TimeStrToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeStrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Trim": {"fullname": "sqlglot.expressions.Trim", "modulename": "sqlglot.expressions", "qualname": "Trim", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsAdd": {"fullname": "sqlglot.expressions.TsOrDsAdd", "modulename": "sqlglot.expressions", "qualname": "TsOrDsAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TsOrDsToDateStr": {"fullname": "sqlglot.expressions.TsOrDsToDateStr", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsToDate": {"fullname": "sqlglot.expressions.TsOrDsToDate", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NextValueFor": {"fullname": "sqlglot.expressions.NextValueFor", "modulename": "sqlglot.expressions", "qualname": "NextValueFor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "

Gracefully handle a possible string or expression.

\n\n
Example:
\n\n
\n
\n
>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • sql_or_expression: the SQL code string or an expression
    • \n
  • into: the SQLGlot Expression to parse into
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • prefix: a string to prefix the sql with before it gets parsed\n(automatically includes a space)
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the parsed or given expression.

\n
\n", "signature": "(\tsql_or_expression: Union[str, sqlglot.expressions.Expression],\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "

Initializes a syntax tree from one UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Union instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "

Initializes a syntax tree from one INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Intersect instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Intersect:", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "

Initializes a syntax tree from one EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Except instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Except:", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "

Initializes a syntax tree from one or multiple SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code string to parse as the expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "

Initializes a syntax tree from a FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression: the SQL code string to parse as the FROM expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "

Creates an update statement.

\n\n
Example:
\n\n
\n
\n
>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *properties: dictionary of properties to set which are\nauto converted to sql objects eg None -> NULL
    • \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • from_: sql statement parsed into a FROM statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Update: the syntax tree for the UPDATE statement.

\n
\n", "signature": "(\ttable: str | sqlglot.expressions.Table,\tproperties: dict,\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tfrom_: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "

Builds a delete statement.

\n\n
Example:
\n\n
\n
\n
>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • returning: sql conditional parsed into a RETURNING statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the syntax tree for the DELETE statement.

\n
\n", "signature": "(\ttable: Union[str, sqlglot.expressions.Expression],\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\treturning: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.insert": {"fullname": "sqlglot.expressions.insert", "modulename": "sqlglot.expressions", "qualname": "insert", "kind": "function", "doc": "

Builds an INSERT statement.

\n\n
Example:
\n\n
\n
\n
>>> insert("VALUES (1, 2, 3)", "tbl").sql()\n'INSERT INTO tbl VALUES (1, 2, 3)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the sql string or expression of the INSERT statement
    • \n
  • into: the tbl to insert data to.
    • \n
  • columns: optionally the table's column names.
    • \n
  • overwrite: whether to INSERT OVERWRITE or not.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Insert: the syntax tree for the INSERT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tinto: Union[str, sqlglot.expressions.Expression],\tcolumns: Optional[Sequence[Union[str, sqlglot.expressions.Expression]]] = None,\toverwrite: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "

Initialize a logical condition expression.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").sql()\n'x = 1'\n
\n
\n \n

This is helpful for composing larger logical syntax trees:

\n \n
\n
>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • copy: Whether or not to copy expression (only applies to expressions).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

The new Condition instance

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "

Combine multiple conditions with an AND logical operator.

\n\n
Example:
\n\n
\n
\n
>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

And: the new condition

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "

Combine multiple conditions with an OR logical operator.

\n\n
Example:
\n\n
\n
\n
>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Or: the new condition

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "

Wrap a condition with a NOT operator.

\n\n
Example:
\n\n
\n
\n
>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether to copy the expression or not.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new condition.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "

Wrap an expression in parentheses.

\n\n
Example:
\n\n
\n
\n
>>> paren("5 + 3").sql()\n'(5 + 3)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • copy: whether to copy the expression or not.
    • \n
\n\n
Returns:
\n\n
\n

The wrapped expression.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "

Builds an identifier.

\n\n
Arguments:
\n\n
    \n
  • name: The name to turn into an identifier.
    • \n
  • quoted: Whether or not force quote the identifier.
    • \n
  • copy: Whether or not to copy a passed in Identefier node.
    • \n
\n\n
Returns:
\n\n
\n

The identifier ast node.

\n
\n", "signature": "(name, quoted=None, copy=True):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "

Builds an interval expression from a string like '1 day' or '5 months'.

\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "

Create a table expression from a [catalog].[schema].[table] sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: a [catalog].[schema].[table] string.
    • \n
  • dialect: the source dialect according to which the table name will be parsed.
    • \n
  • kwargs: the kwargs to instantiate the resulting Table expression with.
    • \n
\n\n
Returns:
\n\n
\n

A table expression.

\n
\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "

Create a column from a [table].[column] sql path. Schema is optional.

\n\n

If a column is passed in then that column is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: [table].[column] string
    • \n
\n\n
Returns:
\n\n
\n

Table: A column expression

\n
\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "

Create an Alias expression.

\n\n
Example:
\n\n
\n
\n
>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n
\n \n
\n
>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias: the alias name to use. If the name has\nspecial characters it is quoted.
    • \n
  • table: Whether or not to create a table alias, can also be a list of columns.
    • \n
  • quoted: whether or not to quote the alias
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: Whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the aliased expression

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "

Build a subquery expression.

\n\n
Example:
\n\n
\n
\n
>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias: the alias name to use.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

A new Select instance with the subquery expression included.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "

Build a Column.

\n\n
Arguments:
\n\n
    \n
  • col: Column name.
    • \n
  • table: Table name.
    • \n
  • db: Database name.
    • \n
  • catalog: Catalog name.
    • \n
  • quoted: Whether to force quotes on the column's identifiers.
    • \n
\n\n
Returns:
\n\n
\n

The new Column instance.

\n
\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdb: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tcatalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "

Cast an expression to a data type.

\n\n
Example:
\n\n
\n
\n
>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to cast.
    • \n
  • to: The datatype to cast to.
    • \n
\n\n
Returns:
\n\n
\n

The new Cast instance.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "

Build a Table.

\n\n
Arguments:
\n\n
    \n
  • table: Table name.
    • \n
  • db: Database name.
    • \n
  • catalog: Catalog name.
    • \n
  • quote: Whether to force quotes on the table's identifiers.
    • \n
  • alias: Table's alias.
    • \n
\n\n
Returns:
\n\n
\n

The new Table instance.

\n
\n", "signature": "(\ttable: sqlglot.expressions.Identifier | str,\tdb: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tcatalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tquoted: Optional[bool] = None,\talias: Union[sqlglot.expressions.Identifier, str, NoneType] = None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "

Build VALUES statement.

\n\n
Example:
\n\n
\n
\n
>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: values statements that will be converted to SQL
    • \n
  • alias: optional alias
    • \n
  • columns: Optional list of ordered column names or ordered dictionary of column names to types.\nIf either are provided then an alias is also required.
    • \n
\n\n
Returns:
\n\n
\n

Values: the Values expression object

\n
\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "

Build a SQL variable.

\n\n
Example:
\n\n
\n
\n
>>> repr(var('x'))\n'(VAR this: x)'\n
\n
\n \n
\n
>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: The name of the var or an expression who's name will become the var.
    • \n
\n\n
Returns:
\n\n
\n

The new variable node.

\n
\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "

Build ALTER TABLE... RENAME... expression

\n\n
Arguments:
\n\n
    \n
  • old_name: The old name of the table
    • \n
  • new_name: The new name of the table
    • \n
\n\n
Returns:
\n\n
\n

Alter table expression

\n
\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "

Convert a python value into an expression object.

\n\n

Raises an error if a conversion is not possible.

\n\n
Arguments:
\n\n
    \n
  • value: A python object.
    • \n
  • copy: Whether or not to copy value (only applies to Expressions and collections).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the equivalent expression object.

\n
\n", "signature": "(value: Any, copy: bool = False) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "

Replace children of an expression with the result of a lambda fun(child) -> exp.

\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfun: Callable,\t*args,\t**kwargs) -> None:", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "

Return all table names referenced through columns in an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to find table names.
    • \n
\n\n
Returns:
\n\n
\n

A list of unique names.

\n
\n", "signature": "(expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "

Get the full name of a table as a string.

\n\n
Arguments:
\n\n
    \n
  • table: table expression node or string.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The table name.

\n
\n", "signature": "(table: sqlglot.expressions.Table | str) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "

Replace all tables in expression according to the mapping.

\n\n
Arguments:
\n\n
    \n
  • expression: expression node to be transformed and replaced.
    • \n
  • mapping: mapping of table names.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression: ~E, mapping: Dict[str, str]) -> ~E:", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "

Replace placeholders in an expression.

\n\n
Arguments:
\n\n
    \n
  • expression: expression node to be transformed and replaced.
    • \n
  • args: positional names that will substitute unnamed placeholders in the given order.
    • \n
  • kwargs: keyword arguments that will substitute named placeholders.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n...     parse_one("select * from :tbl where ? = ?"),\n...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")\n... ).sql()\n"SELECT * FROM foo WHERE str_col = 'b'"\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\t*args,\t**kwargs) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "

Transforms an expression by expanding all referenced sources into subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n
\n \n
\n
>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()\n'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to expand.
    • \n
  • sources: A dictionary of name to Subqueryables.
    • \n
  • copy: Whether or not to copy the expression during transformation. Defaults to True.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "

Returns a Func expression.

\n\n
Examples:
\n\n
\n
\n
>>> func("abs", 5).sql()\n'ABS(5)'\n
\n
\n \n
\n
>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: the name of the function to build.
    • \n
  • args: the args used to instantiate the function of interest.
    • \n
  • dialect: the source dialect.
    • \n
  • kwargs: the kwargs used to instantiate the function of interest.
    • \n
\n\n
Note:
\n\n
\n

The arguments args and kwargs are mutually exclusive.

\n
\n\n
Returns:
\n\n
\n

An instance of the function of interest, or an anonymous function, if name doesn't\n correspond to an existing sqlglot.expressions.Func class.

\n
\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "

Returns a true Boolean expression.

\n", "signature": "() -> sqlglot.expressions.Boolean:", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "

Returns a false Boolean expression.

\n", "signature": "() -> sqlglot.expressions.Boolean:", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "

Returns a Null expression.

\n", "signature": "() -> sqlglot.expressions.Null:", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "

\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "

Generator interprets the given syntax tree and produces a SQL string as an output.

\n\n
Arguments:
\n\n
    \n
  • time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
    • \n
  • time_trie (trie): a trie of the time_mapping keys
    • \n
  • pretty (bool): if set to True the returned string will be formatted. Default: False.
    • \n
  • quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
    • \n
  • quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
    • \n
  • identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
    • \n
  • identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
    • \n
  • bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
    • \n
  • bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
    • \n
  • hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
    • \n
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
    • \n
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
    • \n
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • \n
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • \n
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
    • \n
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • \n
  • normalize (bool): if set to True all identifiers will lower cased
    • \n
  • string_escape (str): specifies a string escape character. Default: '.
    • \n
  • identifier_escape (str): specifies an identifier escape character. Default: \".
    • \n
  • pad (int): determines padding in a formatted string. Default: 2.
    • \n
  • indent (int): determines the size of indentation in a formatted string. Default: 4.
    • \n
  • unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
    • \n
  • normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
    • \n
  • alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
    • \n
  • unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
    • \n
  • null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
  • max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n"}, "sqlglot.generator.Generator.__init__": {"fullname": "sqlglot.generator.Generator.__init__", "modulename": "sqlglot.generator", "qualname": "Generator.__init__", "kind": "function", "doc": "

\n", "signature": "(\ttime_mapping=None,\ttime_trie=None,\tpretty=None,\tquote_start=None,\tquote_end=None,\tidentifier_start=None,\tidentifier_end=None,\tbit_start=None,\tbit_end=None,\thex_start=None,\thex_end=None,\tbyte_start=None,\tbyte_end=None,\traw_start=None,\traw_end=None,\tidentify=False,\tnormalize=False,\tstring_escape=None,\tidentifier_escape=None,\tpad=2,\tindent=2,\tindex_offset=0,\tunnest_column_only=False,\talias_post_tablesample=False,\tnormalize_functions='upper',\tunsupported_level=<ErrorLevel.WARN: 'WARN'>,\tnull_ordering=None,\tmax_unsupported=3,\tleading_comma=False,\tmax_text_width=80,\tcomments=True)"}, "sqlglot.generator.Generator.generate": {"fullname": "sqlglot.generator.Generator.generate", "modulename": "sqlglot.generator", "qualname": "Generator.generate", "kind": "function", "doc": "

Generates a SQL string by interpreting the given syntax tree.

\n\n

Args\n expression: the syntax tree.\n cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.

\n\n

Returns\n the SQL string.

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\tcache: Optional[Dict[int, str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "

\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "

\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "

\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\texpression: Optional[sqlglot.expressions.Expression] = None,\tcomments: Optional[List[str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "

\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnposition_sql": {"fullname": "sqlglot.generator.Generator.columnposition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnposition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnPosition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnconstraint_sql": {"fullname": "sqlglot.generator.Generator.columnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.autoincrementcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.compresscolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.compresscolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CompressColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.notnullcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.notnullcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NotNullColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.primarykeycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykeycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PrimaryKeyColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.uniquecolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uniquecolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.create_sql": {"fullname": "sqlglot.generator.Generator.create_sql", "modulename": "sqlglot.generator", "qualname": "Generator.create_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.clone_sql": {"fullname": "sqlglot.generator.Generator.clone_sql", "modulename": "sqlglot.generator", "qualname": "Generator.clone_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Clone) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.describe_sql": {"fullname": "sqlglot.generator.Generator.describe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.prepend_ctes": {"fullname": "sqlglot.generator.Generator.prepend_ctes", "modulename": "sqlglot.generator", "qualname": "Generator.prepend_ctes", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, sql: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_sql": {"fullname": "sqlglot.generator.Generator.with_sql", "modulename": "sqlglot.generator", "qualname": "Generator.with_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cte_sql": {"fullname": "sqlglot.generator.Generator.cte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablealias_sql": {"fullname": "sqlglot.generator.Generator.tablealias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablealias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TableAlias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitstring_sql": {"fullname": "sqlglot.generator.Generator.bitstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hexstring_sql": {"fullname": "sqlglot.generator.Generator.hexstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hexstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.HexString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bytestring_sql": {"fullname": "sqlglot.generator.Generator.bytestring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bytestring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ByteString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rawstring_sql": {"fullname": "sqlglot.generator.Generator.rawstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rawstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RawString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatypesize_sql": {"fullname": "sqlglot.generator.Generator.datatypesize_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatypesize_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataTypeSize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatype_sql": {"fullname": "sqlglot.generator.Generator.datatype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.directory_sql": {"fullname": "sqlglot.generator.Generator.directory_sql", "modulename": "sqlglot.generator", "qualname": "Generator.directory_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Directory) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.delete_sql": {"fullname": "sqlglot.generator.Generator.delete_sql", "modulename": "sqlglot.generator", "qualname": "Generator.delete_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Delete) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.drop_sql": {"fullname": "sqlglot.generator.Generator.drop_sql", "modulename": "sqlglot.generator", "qualname": "Generator.drop_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Drop) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_sql": {"fullname": "sqlglot.generator.Generator.except_sql", "modulename": "sqlglot.generator", "qualname": "Generator.except_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_op": {"fullname": "sqlglot.generator.Generator.except_op", "modulename": "sqlglot.generator", "qualname": "Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fetch_sql": {"fullname": "sqlglot.generator.Generator.fetch_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fetch_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Fetch) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.filter_sql": {"fullname": "sqlglot.generator.Generator.filter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.filter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Filter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hint_sql": {"fullname": "sqlglot.generator.Generator.hint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Hint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.index_sql": {"fullname": "sqlglot.generator.Generator.index_sql", "modulename": "sqlglot.generator", "qualname": "Generator.index_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Index) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.identifier_sql": {"fullname": "sqlglot.generator.Generator.identifier_sql", "modulename": "sqlglot.generator", "qualname": "Generator.identifier_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Identifier) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.inputoutputformat_sql": {"fullname": "sqlglot.generator.Generator.inputoutputformat_sql", "modulename": "sqlglot.generator", "qualname": "Generator.inputoutputformat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.InputOutputFormat) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.national_sql": {"fullname": "sqlglot.generator.Generator.national_sql", "modulename": "sqlglot.generator", "qualname": "Generator.national_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.National, prefix: str = 'N') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_sql": {"fullname": "sqlglot.generator.Generator.partition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Partition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties_sql": {"fullname": "sqlglot.generator.Generator.properties_sql", "modulename": "sqlglot.generator", "qualname": "Generator.properties_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.root_properties": {"fullname": "sqlglot.generator.Generator.root_properties", "modulename": "sqlglot.generator", "qualname": "Generator.root_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.properties": {"fullname": "sqlglot.generator.Generator.properties", "modulename": "sqlglot.generator", "qualname": "Generator.properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties,\tprefix: str = '',\tsep: str = ', ',\tsuffix: str = '',\twrapped: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_properties": {"fullname": "sqlglot.generator.Generator.with_properties", "modulename": "sqlglot.generator", "qualname": "Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.locate_properties": {"fullname": "sqlglot.generator.Generator.locate_properties", "modulename": "sqlglot.generator", "qualname": "Generator.locate_properties", "kind": "function", "doc": "

\n", "signature": "(\tself,\tproperties: sqlglot.expressions.Properties) -> Dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]:", "funcdef": "def"}, "sqlglot.generator.Generator.property_sql": {"fullname": "sqlglot.generator.Generator.property_sql", "modulename": "sqlglot.generator", "qualname": "Generator.property_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeproperty_sql": {"fullname": "sqlglot.generator.Generator.likeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.fallbackproperty_sql": {"fullname": "sqlglot.generator.Generator.fallbackproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.fallbackproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FallbackProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.journalproperty_sql": {"fullname": "sqlglot.generator.Generator.journalproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.journalproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JournalProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.freespaceproperty_sql": {"fullname": "sqlglot.generator.Generator.freespaceproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.freespaceproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.FreespaceProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.checksumproperty_sql": {"fullname": "sqlglot.generator.Generator.checksumproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.checksumproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ChecksumProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"fullname": "sqlglot.generator.Generator.mergeblockratioproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergeblockratioproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeBlockRatioProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"fullname": "sqlglot.generator.Generator.datablocksizeproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datablocksizeproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataBlocksizeProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"fullname": "sqlglot.generator.Generator.blockcompressionproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.blockcompressionproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BlockCompressionProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"fullname": "sqlglot.generator.Generator.isolatedloadingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.isolatedloadingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IsolatedLoadingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lockingproperty_sql": {"fullname": "sqlglot.generator.Generator.lockingproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lockingproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LockingProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withdataproperty_sql": {"fullname": "sqlglot.generator.Generator.withdataproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withdataproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithDataProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.insert_sql": {"fullname": "sqlglot.generator.Generator.insert_sql", "modulename": "sqlglot.generator", "qualname": "Generator.insert_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Insert) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_sql": {"fullname": "sqlglot.generator.Generator.intersect_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intersect_op": {"fullname": "sqlglot.generator.Generator.intersect_op", "modulename": "sqlglot.generator", "qualname": "Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.introducer_sql": {"fullname": "sqlglot.generator.Generator.introducer_sql", "modulename": "sqlglot.generator", "qualname": "Generator.introducer_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Introducer) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pseudotype_sql": {"fullname": "sqlglot.generator.Generator.pseudotype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pseudotype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PseudoType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.onconflict_sql": {"fullname": "sqlglot.generator.Generator.onconflict_sql", "modulename": "sqlglot.generator", "qualname": "Generator.onconflict_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OnConflict) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.returning_sql": {"fullname": "sqlglot.generator.Generator.returning_sql", "modulename": "sqlglot.generator", "qualname": "Generator.returning_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Returning) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"fullname": "sqlglot.generator.Generator.rowformatdelimitedproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rowformatdelimitedproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RowFormatDelimitedProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.table_sql": {"fullname": "sqlglot.generator.Generator.table_sql", "modulename": "sqlglot.generator", "qualname": "Generator.table_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Table, sep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablesample_sql": {"fullname": "sqlglot.generator.Generator.tablesample_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.TableSample,\tseed_prefix: str = 'SEED',\tsep=' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pivot_sql": {"fullname": "sqlglot.generator.Generator.pivot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pivot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tuple_sql": {"fullname": "sqlglot.generator.Generator.tuple_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tuple_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tuple) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.update_sql": {"fullname": "sqlglot.generator.Generator.update_sql", "modulename": "sqlglot.generator", "qualname": "Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.values_sql": {"fullname": "sqlglot.generator.Generator.values_sql", "modulename": "sqlglot.generator", "qualname": "Generator.values_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.var_sql": {"fullname": "sqlglot.generator.Generator.var_sql", "modulename": "sqlglot.generator", "qualname": "Generator.var_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Var) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.into_sql": {"fullname": "sqlglot.generator.Generator.into_sql", "modulename": "sqlglot.generator", "qualname": "Generator.into_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Into) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.from_sql": {"fullname": "sqlglot.generator.Generator.from_sql", "modulename": "sqlglot.generator", "qualname": "Generator.from_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.From) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.group_sql": {"fullname": "sqlglot.generator.Generator.group_sql", "modulename": "sqlglot.generator", "qualname": "Generator.group_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Group) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.having_sql": {"fullname": "sqlglot.generator.Generator.having_sql", "modulename": "sqlglot.generator", "qualname": "Generator.having_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Having) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.join_sql": {"fullname": "sqlglot.generator.Generator.join_sql", "modulename": "sqlglot.generator", "qualname": "Generator.join_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Join) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lambda_sql": {"fullname": "sqlglot.generator.Generator.lambda_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lambda_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Lambda,\tarrow_sep: str = '->') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lateral_sql": {"fullname": "sqlglot.generator.Generator.lateral_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lateral_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lateral) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.limit_sql": {"fullname": "sqlglot.generator.Generator.limit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.limit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Limit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.offset_sql": {"fullname": "sqlglot.generator.Generator.offset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.setitem_sql": {"fullname": "sqlglot.generator.Generator.setitem_sql", "modulename": "sqlglot.generator", "qualname": "Generator.setitem_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SetItem) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_sql": {"fullname": "sqlglot.generator.Generator.set_sql", "modulename": "sqlglot.generator", "qualname": "Generator.set_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Set) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pragma_sql": {"fullname": "sqlglot.generator.Generator.pragma_sql", "modulename": "sqlglot.generator", "qualname": "Generator.pragma_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Pragma) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lock_sql": {"fullname": "sqlglot.generator.Generator.lock_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lock_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Lock) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.literal_sql": {"fullname": "sqlglot.generator.Generator.literal_sql", "modulename": "sqlglot.generator", "qualname": "Generator.literal_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Literal) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.loaddata_sql": {"fullname": "sqlglot.generator.Generator.loaddata_sql", "modulename": "sqlglot.generator", "qualname": "Generator.loaddata_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LoadData) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.null_sql": {"fullname": "sqlglot.generator.Generator.null_sql", "modulename": "sqlglot.generator", "qualname": "Generator.null_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.boolean_sql": {"fullname": "sqlglot.generator.Generator.boolean_sql", "modulename": "sqlglot.generator", "qualname": "Generator.boolean_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Boolean) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.order_sql": {"fullname": "sqlglot.generator.Generator.order_sql", "modulename": "sqlglot.generator", "qualname": "Generator.order_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Order, flat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cluster_sql": {"fullname": "sqlglot.generator.Generator.cluster_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cluster) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distribute_sql": {"fullname": "sqlglot.generator.Generator.distribute_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distribute_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distribute) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sort_sql": {"fullname": "sqlglot.generator.Generator.sort_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sort_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sort) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ordered_sql": {"fullname": "sqlglot.generator.Generator.ordered_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ordered_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Ordered) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.matchrecognize_sql": {"fullname": "sqlglot.generator.Generator.matchrecognize_sql", "modulename": "sqlglot.generator", "qualname": "Generator.matchrecognize_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.query_modifiers": {"fullname": "sqlglot.generator.Generator.query_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.query_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, *sqls: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.after_having_modifiers": {"fullname": "sqlglot.generator.Generator.after_having_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.after_having_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.after_limit_modifiers": {"fullname": "sqlglot.generator.Generator.after_limit_modifiers", "modulename": "sqlglot.generator", "qualname": "Generator.after_limit_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.select_sql": {"fullname": "sqlglot.generator.Generator.select_sql", "modulename": "sqlglot.generator", "qualname": "Generator.select_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Select) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.schema_sql": {"fullname": "sqlglot.generator.Generator.schema_sql", "modulename": "sqlglot.generator", "qualname": "Generator.schema_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Schema) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.star_sql": {"fullname": "sqlglot.generator.Generator.star_sql", "modulename": "sqlglot.generator", "qualname": "Generator.star_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Star) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.parameter_sql": {"fullname": "sqlglot.generator.Generator.parameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.parameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Parameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sessionparameter_sql": {"fullname": "sqlglot.generator.Generator.sessionparameter_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sessionparameter_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SessionParameter) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.placeholder_sql": {"fullname": "sqlglot.generator.Generator.placeholder_sql", "modulename": "sqlglot.generator", "qualname": "Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.subquery_sql": {"fullname": "sqlglot.generator.Generator.subquery_sql", "modulename": "sqlglot.generator", "qualname": "Generator.subquery_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Subquery, sep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.qualify_sql": {"fullname": "sqlglot.generator.Generator.qualify_sql", "modulename": "sqlglot.generator", "qualname": "Generator.qualify_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Qualify) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_sql": {"fullname": "sqlglot.generator.Generator.union_sql", "modulename": "sqlglot.generator", "qualname": "Generator.union_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.union_op": {"fullname": "sqlglot.generator.Generator.union_op", "modulename": "sqlglot.generator", "qualname": "Generator.union_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Union) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unnest_sql": {"fullname": "sqlglot.generator.Generator.unnest_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unnest_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.where_sql": {"fullname": "sqlglot.generator.Generator.where_sql", "modulename": "sqlglot.generator", "qualname": "Generator.where_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Where) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.window_sql": {"fullname": "sqlglot.generator.Generator.window_sql", "modulename": "sqlglot.generator", "qualname": "Generator.window_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Window) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.partition_by_sql": {"fullname": "sqlglot.generator.Generator.partition_by_sql", "modulename": "sqlglot.generator", "qualname": "Generator.partition_by_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Window | sqlglot.expressions.MatchRecognize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.windowspec_sql": {"fullname": "sqlglot.generator.Generator.windowspec_sql", "modulename": "sqlglot.generator", "qualname": "Generator.windowspec_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WindowSpec) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.withingroup_sql": {"fullname": "sqlglot.generator.Generator.withingroup_sql", "modulename": "sqlglot.generator", "qualname": "Generator.withingroup_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.WithinGroup) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.between_sql": {"fullname": "sqlglot.generator.Generator.between_sql", "modulename": "sqlglot.generator", "qualname": "Generator.between_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Between) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bracket_sql": {"fullname": "sqlglot.generator.Generator.bracket_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bracket_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Bracket) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.all_sql": {"fullname": "sqlglot.generator.Generator.all_sql", "modulename": "sqlglot.generator", "qualname": "Generator.all_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.All) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.any_sql": {"fullname": "sqlglot.generator.Generator.any_sql", "modulename": "sqlglot.generator", "qualname": "Generator.any_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Any) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.exists_sql": {"fullname": "sqlglot.generator.Generator.exists_sql", "modulename": "sqlglot.generator", "qualname": "Generator.exists_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Exists) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.case_sql": {"fullname": "sqlglot.generator.Generator.case_sql", "modulename": "sqlglot.generator", "qualname": "Generator.case_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Case) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.constraint_sql": {"fullname": "sqlglot.generator.Generator.constraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.constraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Constraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nextvaluefor_sql": {"fullname": "sqlglot.generator.Generator.nextvaluefor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nextvaluefor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NextValueFor) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.extract_sql": {"fullname": "sqlglot.generator.Generator.extract_sql", "modulename": "sqlglot.generator", "qualname": "Generator.extract_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Extract) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trim_sql": {"fullname": "sqlglot.generator.Generator.trim_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trim_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.concat_sql": {"fullname": "sqlglot.generator.Generator.concat_sql", "modulename": "sqlglot.generator", "qualname": "Generator.concat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Concat) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.check_sql": {"fullname": "sqlglot.generator.Generator.check_sql", "modulename": "sqlglot.generator", "qualname": "Generator.check_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Check) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.foreignkey_sql": {"fullname": "sqlglot.generator.Generator.foreignkey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.foreignkey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykey_sql": {"fullname": "sqlglot.generator.Generator.primarykey_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykey_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ForeignKey) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unique_sql": {"fullname": "sqlglot.generator.Generator.unique_sql", "modulename": "sqlglot.generator", "qualname": "Generator.unique_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unique) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.if_sql": {"fullname": "sqlglot.generator.Generator.if_sql", "modulename": "sqlglot.generator", "qualname": "Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.matchagainst_sql": {"fullname": "sqlglot.generator.Generator.matchagainst_sql", "modulename": "sqlglot.generator", "qualname": "Generator.matchagainst_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MatchAgainst) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"fullname": "sqlglot.generator.Generator.jsonkeyvalue_sql", "modulename": "sqlglot.generator", "qualname": "Generator.jsonkeyvalue_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JSONKeyValue) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.jsonobject_sql": {"fullname": "sqlglot.generator.Generator.jsonobject_sql", "modulename": "sqlglot.generator", "qualname": "Generator.jsonobject_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JSONObject) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"fullname": "sqlglot.generator.Generator.openjsoncolumndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.openjsoncolumndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OpenJSONColumnDef) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.openjson_sql": {"fullname": "sqlglot.generator.Generator.openjson_sql", "modulename": "sqlglot.generator", "qualname": "Generator.openjson_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OpenJSON) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_sql": {"fullname": "sqlglot.generator.Generator.in_sql", "modulename": "sqlglot.generator", "qualname": "Generator.in_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.In) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.in_unnest_op": {"fullname": "sqlglot.generator.Generator.in_unnest_op", "modulename": "sqlglot.generator", "qualname": "Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, unnest: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.interval_sql": {"fullname": "sqlglot.generator.Generator.interval_sql", "modulename": "sqlglot.generator", "qualname": "Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.return_sql": {"fullname": "sqlglot.generator.Generator.return_sql", "modulename": "sqlglot.generator", "qualname": "Generator.return_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Return) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.reference_sql": {"fullname": "sqlglot.generator.Generator.reference_sql", "modulename": "sqlglot.generator", "qualname": "Generator.reference_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Reference) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.anonymous_sql": {"fullname": "sqlglot.generator.Generator.anonymous_sql", "modulename": "sqlglot.generator", "qualname": "Generator.anonymous_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.paren_sql": {"fullname": "sqlglot.generator.Generator.paren_sql", "modulename": "sqlglot.generator", "qualname": "Generator.paren_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Paren) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neg_sql": {"fullname": "sqlglot.generator.Generator.neg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Neg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.not_sql": {"fullname": "sqlglot.generator.Generator.not_sql", "modulename": "sqlglot.generator", "qualname": "Generator.not_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Not) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.alias_sql": {"fullname": "sqlglot.generator.Generator.alias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.alias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Alias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.aliases_sql": {"fullname": "sqlglot.generator.Generator.aliases_sql", "modulename": "sqlglot.generator", "qualname": "Generator.aliases_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Aliases) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.attimezone_sql": {"fullname": "sqlglot.generator.Generator.attimezone_sql", "modulename": "sqlglot.generator", "qualname": "Generator.attimezone_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AtTimeZone) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.add_sql": {"fullname": "sqlglot.generator.Generator.add_sql", "modulename": "sqlglot.generator", "qualname": "Generator.add_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Add) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.and_sql": {"fullname": "sqlglot.generator.Generator.and_sql", "modulename": "sqlglot.generator", "qualname": "Generator.and_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.And) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.connector_sql": {"fullname": "sqlglot.generator.Generator.connector_sql", "modulename": "sqlglot.generator", "qualname": "Generator.connector_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Connector, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseand_sql": {"fullname": "sqlglot.generator.Generator.bitwiseand_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseand_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseAnd) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiseleftshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseleftshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseLeftShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisenot_sql": {"fullname": "sqlglot.generator.Generator.bitwisenot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisenot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseNot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiseor_sql": {"fullname": "sqlglot.generator.Generator.bitwiseor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiseor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseOr) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"fullname": "sqlglot.generator.Generator.bitwiserightshift_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwiserightshift_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseRightShift) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitwisexor_sql": {"fullname": "sqlglot.generator.Generator.bitwisexor_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitwisexor_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitwiseXor) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cast_sql": {"fullname": "sqlglot.generator.Generator.cast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.currentdate_sql": {"fullname": "sqlglot.generator.Generator.currentdate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.currentdate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.collate_sql": {"fullname": "sqlglot.generator.Generator.collate_sql", "modulename": "sqlglot.generator", "qualname": "Generator.collate_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Collate) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.command_sql": {"fullname": "sqlglot.generator.Generator.command_sql", "modulename": "sqlglot.generator", "qualname": "Generator.command_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Command) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.comment_sql": {"fullname": "sqlglot.generator.Generator.comment_sql", "modulename": "sqlglot.generator", "qualname": "Generator.comment_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Comment) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"fullname": "sqlglot.generator.Generator.mergetreettlaction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergetreettlaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeTreeTTLAction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mergetreettl_sql": {"fullname": "sqlglot.generator.Generator.mergetreettl_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mergetreettl_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.MergeTreeTTL) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.transaction_sql": {"fullname": "sqlglot.generator.Generator.transaction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.commit_sql": {"fullname": "sqlglot.generator.Generator.commit_sql", "modulename": "sqlglot.generator", "qualname": "Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Commit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rollback_sql": {"fullname": "sqlglot.generator.Generator.rollback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Rollback) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altercolumn_sql": {"fullname": "sqlglot.generator.Generator.altercolumn_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altercolumn_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterColumn) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.renametable_sql": {"fullname": "sqlglot.generator.Generator.renametable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.renametable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altertable_sql": {"fullname": "sqlglot.generator.Generator.altertable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altertable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.droppartition_sql": {"fullname": "sqlglot.generator.Generator.droppartition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.droppartition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DropPartition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.addconstraint_sql": {"fullname": "sqlglot.generator.Generator.addconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.addconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AddConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distinct_sql": {"fullname": "sqlglot.generator.Generator.distinct_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distinct_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distinct) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ignorenulls_sql": {"fullname": "sqlglot.generator.Generator.ignorenulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ignorenulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IgnoreNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.respectnulls_sql": {"fullname": "sqlglot.generator.Generator.respectnulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.respectnulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RespectNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intdiv_sql": {"fullname": "sqlglot.generator.Generator.intdiv_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intdiv_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IntDiv) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dpipe_sql": {"fullname": "sqlglot.generator.Generator.dpipe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dpipe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DPipe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.div_sql": {"fullname": "sqlglot.generator.Generator.div_sql", "modulename": "sqlglot.generator", "qualname": "Generator.div_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Div) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.overlaps_sql": {"fullname": "sqlglot.generator.Generator.overlaps_sql", "modulename": "sqlglot.generator", "qualname": "Generator.overlaps_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Overlaps) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distance_sql": {"fullname": "sqlglot.generator.Generator.distance_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distance_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distance) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dot_sql": {"fullname": "sqlglot.generator.Generator.dot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Dot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.eq_sql": {"fullname": "sqlglot.generator.Generator.eq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.eq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.EQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.escape_sql": {"fullname": "sqlglot.generator.Generator.escape_sql", "modulename": "sqlglot.generator", "qualname": "Generator.escape_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Escape) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.glob_sql": {"fullname": "sqlglot.generator.Generator.glob_sql", "modulename": "sqlglot.generator", "qualname": "Generator.glob_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Glob) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gt_sql": {"fullname": "sqlglot.generator.Generator.gt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gte_sql": {"fullname": "sqlglot.generator.Generator.gte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilike_sql": {"fullname": "sqlglot.generator.Generator.ilike_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilike_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilikeany_sql": {"fullname": "sqlglot.generator.Generator.ilikeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilikeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.is_sql": {"fullname": "sqlglot.generator.Generator.is_sql", "modulename": "sqlglot.generator", "qualname": "Generator.is_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Is) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.like_sql": {"fullname": "sqlglot.generator.Generator.like_sql", "modulename": "sqlglot.generator", "qualname": "Generator.like_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Like) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeany_sql": {"fullname": "sqlglot.generator.Generator.likeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.similarto_sql": {"fullname": "sqlglot.generator.Generator.similarto_sql", "modulename": "sqlglot.generator", "qualname": "Generator.similarto_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SimilarTo) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lt_sql": {"fullname": "sqlglot.generator.Generator.lt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lte_sql": {"fullname": "sqlglot.generator.Generator.lte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mod_sql": {"fullname": "sqlglot.generator.Generator.mod_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mul_sql": {"fullname": "sqlglot.generator.Generator.mul_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mul_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mul) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neq_sql": {"fullname": "sqlglot.generator.Generator.neq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeeq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeeq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeeq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeneq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeneq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeneq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeNEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.or_sql": {"fullname": "sqlglot.generator.Generator.or_sql", "modulename": "sqlglot.generator", "qualname": "Generator.or_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Or) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.slice_sql": {"fullname": "sqlglot.generator.Generator.slice_sql", "modulename": "sqlglot.generator", "qualname": "Generator.slice_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Slice) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sub_sql": {"fullname": "sqlglot.generator.Generator.sub_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sub_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sub) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trycast_sql": {"fullname": "sqlglot.generator.Generator.trycast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trycast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.use_sql": {"fullname": "sqlglot.generator.Generator.use_sql", "modulename": "sqlglot.generator", "qualname": "Generator.use_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Use) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.binary": {"fullname": "sqlglot.generator.Generator.binary", "modulename": "sqlglot.generator", "qualname": "Generator.binary", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Binary, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.function_fallback_sql": {"fullname": "sqlglot.generator.Generator.function_fallback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.function_fallback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Func) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.func": {"fullname": "sqlglot.generator.Generator.func", "modulename": "sqlglot.generator", "qualname": "Generator.func", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.format_args": {"fullname": "sqlglot.generator.Generator.format_args", "modulename": "sqlglot.generator", "qualname": "Generator.format_args", "kind": "function", "doc": "

\n", "signature": "(self, *args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.text_width": {"fullname": "sqlglot.generator.Generator.text_width", "modulename": "sqlglot.generator", "qualname": "Generator.text_width", "kind": "function", "doc": "

\n", "signature": "(self, args: Iterable) -> int:", "funcdef": "def"}, "sqlglot.generator.Generator.format_time": {"fullname": "sqlglot.generator.Generator.format_time", "modulename": "sqlglot.generator", "qualname": "Generator.format_time", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> Optional[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.expressions": {"fullname": "sqlglot.generator.Generator.expressions", "modulename": "sqlglot.generator", "qualname": "Generator.expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression] = None,\tkey: Optional[str] = None,\tsqls: Optional[List[str]] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "

\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tochar_sql": {"fullname": "sqlglot.generator.Generator.tochar_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tochar_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ToChar) -> str:", "funcdef": "def"}, "sqlglot.generator.cached_generator": {"fullname": "sqlglot.generator.cached_generator", "modulename": "sqlglot.generator", "qualname": "cached_generator", "kind": "function", "doc": "

Returns a cached generator.

\n", "signature": "(\tcache: Optional[Dict[int, str]] = None) -> Callable[[sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "

\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "

This is used for creating enum classes where auto() is the string form of the corresponding value's name.

\n", "bases": "enum.Enum"}, "sqlglot.helper.seq_get": {"fullname": "sqlglot.helper.seq_get", "modulename": "sqlglot.helper", "qualname": "seq_get", "kind": "function", "doc": "

Returns the value in seq at position index, or None if index is out of bounds.

\n", "signature": "(seq: Sequence[~T], index: int) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.helper.ensure_list": {"fullname": "sqlglot.helper.ensure_list", "modulename": "sqlglot.helper", "qualname": "ensure_list", "kind": "function", "doc": "

Ensures that a value is a list, otherwise casts or wraps it into one.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "

Ensures that a value is a collection (excluding str and bytes), otherwise wraps it into a list.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value if it's a collection, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "

Formats any number of string arguments as CSV.

\n\n
Arguments:
\n\n
    \n
  • args: the string arguments to format.
    • \n
  • sep: the argument separator.
    • \n
\n\n
Returns:
\n\n
\n

The arguments formatted as a CSV string.

\n
\n", "signature": "(*args: str, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "

Returns all subclasses for a collection of classes, possibly excluding some of them.

\n\n
Arguments:
\n\n
    \n
  • module_name: the name of the module to search for subclasses in.
    • \n
  • classes: class(es) we want to find the subclasses of.
    • \n
  • exclude: class(es) we want to exclude from the returned list.
    • \n
\n\n
Returns:
\n\n
\n

The target subclasses.

\n
\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "

Applies an offset to a given integer literal expression.

\n\n
Arguments:
\n\n
    \n
  • this: the target of the index
    • \n
  • expressions: the expression the offset will be applied to, wrapped in a list.
    • \n
  • offset: the offset that will be applied.
    • \n
\n\n
Returns:
\n\n
\n

The original expression with the offset applied to it, wrapped in a list. If the provided\n expressions argument contains more than one expressions, it's returned unaffected.

\n
\n", "signature": "(\tthis: sqlglot.expressions.Expression,\texpressions: List[Optional[~E]],\toffset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "

Converts name from camelCase to snake_case and returns the result.

\n", "signature": "(name: str) -> str:", "funcdef": "def"}, "sqlglot.helper.while_changing": {"fullname": "sqlglot.helper.while_changing", "modulename": "sqlglot.helper", "qualname": "while_changing", "kind": "function", "doc": "

Applies a transformation to a given expression until a fix point is reached.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to be transformed.
    • \n
  • func: the transformation to be applied.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfunc: Callable[[sqlglot.expressions.Expression], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "

Sorts a given directed acyclic graph in topological order.

\n\n
Arguments:
\n\n
    \n
  • dag: the graph to be sorted.
    • \n
\n\n
Returns:
\n\n
\n

A list that contains all of the graph's nodes in topological order.

\n
\n", "signature": "(dag: Dict[~T, List[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "

Open a file that may be compressed as gzip and return it in universal newline mode.

\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "

Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...]).

\n\n
Arguments:
\n\n
    \n
  • read_csv: a ReadCSV function call
    • \n
\n\n
Yields:
\n\n
\n

A python csv reader.

\n
\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "

Searches for a new name.

\n\n
Arguments:
\n\n
    \n
  • taken: a collection of taken names.
    • \n
  • base: base name to alter.
    • \n
\n\n
Returns:
\n\n
\n

The new, available name.

\n
\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "

Returns a dictionary created from an object's attributes.

\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "

Perform a split on a value and return N words as a result with None used for words that don't exist.

\n\n
Arguments:
\n\n
    \n
  • value: the value to be split.
    • \n
  • sep: the value to use to split on.
    • \n
  • min_num_words: the minimum number of words that are going to be in the result.
    • \n
  • fill_from_start: indicates that if None values should be inserted at the start or end of the list.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n
\n
\n\n
Returns:
\n\n
\n

The list of words returned by split, possibly augmented by a number of None values.

\n
\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "

Checks if the value is an iterable, excluding the types str and bytes.

\n\n
Examples:
\n\n
\n
\n
>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • value: the value to check if it is an iterable.
    • \n
\n\n
Returns:
\n\n
\n

A bool value indicating if it is an iterable.

\n
\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "

Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str and bytes are not regarded as iterables.

\n\n
Examples:
\n\n
\n
\n
>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: the value to be flattened.
    • \n
\n\n
Yields:
\n\n
\n

Non-iterable elements in values.

\n
\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "

Get the nesting depth of a dictionary.

\n\n
For example:
\n\n
\n
\n
>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d (dict): dictionary
    • \n
\n\n
Returns:
\n\n
\n

int: depth

\n
\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "

Returns the first element from an iterable.

\n\n

Useful for sets.

\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.helper.should_identify": {"fullname": "sqlglot.helper.should_identify", "modulename": "sqlglot.helper", "qualname": "should_identify", "kind": "function", "doc": "

Checks if text should be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: the text to check.
    • \n
  • identify: \"always\" | True - always returns true, \"safe\" - true if no upper case
    • \n
\n\n
Returns:
\n\n
\n

Whether or not a string should be identified.

\n
\n", "signature": "(text: str, identify: str | bool) -> bool:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "

\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "

\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "

\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>,\talias: str = '')"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "

\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "

Build the lineage graph for a column of a SQL query.

\n\n
Arguments:
\n\n
    \n
  • column: The column to build the lineage for.
    • \n
  • sql: The SQL string or expression.
    • \n
  • schema: The schema of tables.
    • \n
  • sources: A mapping of queries which will be used to continue building lineage.
    • \n
  • rules: Optimizer rules to apply, by default only qualifying tables and columns.
    • \n
  • dialect: The dialect of input SQL.
    • \n
\n\n
Returns:
\n\n
\n

A lineage node.

\n
\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7f4773a8b6d0>, <function qualify_tables at 0x7f4773a65d80>, <function qualify_columns at 0x7f4773a64c10>),\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "

Node to HTML generator using vis.js.

\n\n

https://visjs.github.io/vis-network/docs/network/

\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "

\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "

Recursively infer & annotate types in an expression syntax tree against a schema.\nAssumes that we've already executed the optimizer's qualify_columns step.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): Expression to annotate.
    • \n
  • schema (dict|sqlglot.optimizer.Schema): Database schema.
    • \n
  • annotators (dict): Maps expression type to corresponding annotation function.
    • \n
  • coerces_to (dict): Maps expression type to set of types that it can be coerced into.
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression annotated with types

\n
\n", "signature": "(expression, schema=None, annotators=None, coerces_to=None):", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "

\n", "signature": "(schema=None, annotators=None, coerces_to=None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "

\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "

Converts a sql expression into a standard form.

\n\n

This method relies on annotate_types because many of the\nconversions rely on type inference.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to canonicalize.
    • \n
  • identify: Whether or not to force identify identifier.
    • \n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tidentify: str = 'safe') -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"fullname": "sqlglot.optimizer.canonicalize.add_text_to_concat", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "add_text_to_concat", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.coerce_type": {"fullname": "sqlglot.optimizer.canonicalize.coerce_type", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "coerce_type", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"fullname": "sqlglot.optimizer.canonicalize.remove_redundant_casts", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "remove_redundant_casts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"fullname": "sqlglot.optimizer.canonicalize.ensure_bool_predicates", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "ensure_bool_predicates", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "qualname": "eliminate_ctes", "kind": "function", "doc": "

Remove unused CTEs from an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "

Remove unused joins from an expression.

\n\n

This only removes joins when we know that the join condition doesn't produce duplicate rows.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "

Extract the join condition from a join expression.

\n\n
Arguments:
\n\n
    \n
  • join (exp.Join)
    • \n
\n\n
Returns:
\n\n
\n

tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)

\n
\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "

Rewrite derived tables as CTES, deduplicating if possible.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n
\n
\n\n
This also deduplicates common subqueries:
\n\n
\n
\n
>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y CROSS JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y CROSS JOIN y AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "

\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.lower_identities.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "qualname": "lower_identities", "kind": "function", "doc": "

Convert all unquoted identifiers to lower case.

\n\n

Assuming the schema is all lower case, this essentially makes identifiers case-insensitive.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> lower_identities(expression).sql()\n'SELECT bar.a AS A FROM "Foo".bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to quote
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: quoted expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to merge derived tables into the outer query.

\n\n

This also merges CTEs if they are selected from only once.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x CROSS JOIN y'\n
\n
\n
\n\n

If leave_tables_isolated is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:

\n\n
\n
\n
\n

expression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y'

\n
\n
\n
\n\n

Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • leave_tables_isolated (bool):
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "

Rewrite sqlglot AST into conjunctive normal form or disjunctive normal form.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression, dnf=False).sql()\n'(x OR z) AND (y OR z)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to normalize
    • \n
  • dnf: rewrite in disjunctive normal form instead.
    • \n
  • max_distance (int): the maximal estimated distance from cnf/dnf to attempt conversion
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: normalized expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdnf: bool = False,\tmax_distance: int = 128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "

\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "

The difference in the number of predicates between the current expression and the normalized form.

\n\n

This is used as an estimate of the cost of the conversion which is exponential in complexity.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to compute distance
    • \n
  • dnf (bool): compute to dnf distance instead
    • \n
\n\n
Returns:
\n\n
\n

int: difference

\n
\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "

x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)

\n", "signature": "(expression, dnf, max_distance, generate):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "

Removes cross joins if possible and reorder joins based on predicate dependencies.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "

Reorder joins by topological sort order based on predicate references.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "

Remove INNER and OUTER from joins as they are optional.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "

\n", "signature": "(join, exclude):", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "

Rewrite a sqlglot AST into an optimized form.

\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
    • \n
  • schema: database schema.\nThis can either be an instance of sqlglot.optimizer.Schema or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema will be used
    • \n
  • db: specify the default database, as might be set by a USE DATABASE db statement
    • \n
  • catalog: specify the default catalog, as might be set by a USE CATALOG c statement
    • \n
  • dialect: The dialect to parse the sql string.
    • \n
  • rules: sequence of optimizer rules to use.\nMany of the rules require tables and columns to be qualified.\nDo not remove qualify_tables or qualify_columns from the sequence of rules unless you know\nwhat you're doing!
    • \n
  • *kwargs: If a rule has a keyword argument with a same name in *kwargs, it will be passed in.
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function lower_identities at 0x7f4773a8b6d0>, <function qualify_tables at 0x7f4773a65d80>, <function isolate_table_selects at 0x7f4773a8b370>, <function qualify_columns at 0x7f4773a64c10>, <function pushdown_projections at 0x7f4773a65750>, <function validate_qualify_columns at 0x7f4773a64ca0>, <function normalize at 0x7f4773a89630>, <function unnest_subqueries at 0x7f4773a65e10>, <function pushdown_predicates at 0x7f4773a64700>, <function optimize_joins at 0x7f4773a643a0>, <function eliminate_subqueries at 0x7f4773a8b2e0>, <function merge_subqueries at 0x7f4773a8b9a0>, <function eliminate_joins at 0x7f4773a893f0>, <function eliminate_ctes at 0x7f4773a892d0>, <function annotate_types at 0x7f4773ab9a20>, <function canonicalize at 0x7f4773a88d30>, <function simplify at 0x7f4773a897e0>),\t**kwargs):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "

Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT * FROM (SELECT * FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT * FROM (SELECT * FROM x AS x WHERE y.a = 1) AS y WHERE TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "

\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "

If the predicates are in CNF like form, we can simply replace each block in the parent.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "

If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "

\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "

\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "

\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "

Rewrite sqlglot AST to remove unused columns projections.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • remove_unused_selections (bool): remove selects that are unused
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, schema=None, remove_unused_selections=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified columns.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to qualify
    • \n
  • schema: Database schema
    • \n
  • expand_alias_refs: whether or not to expand references to aliases
    • \n
  • infer_schema: whether or not to infer the schema if missing
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tschema: dict | sqlglot.schema.Schema,\texpand_alias_refs: bool = True,\tinfer_schema: Optional[bool] = None) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "

Raise an OptimizeError if any columns aren't qualified

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver", "kind": "class", "doc": "

Helper for resolving columns.

\n\n

This is a class so we can lazily load some things and easily share them across functions.

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "

\n", "signature": "(scope, schema, infer_schema: bool = True)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "

Get the table for a column name.

\n\n
Arguments:
\n\n
    \n
  • column_name: The column name to find the table for.
    • \n
\n\n
Returns:
\n\n
\n

The table name if it can be found/inferred.

\n
\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "

All available columns of all sources in this scope

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "

Resolve the source columns for a given source name

\n", "signature": "(self, name, only_visible=False):", "funcdef": "def"}, "sqlglot.optimizer.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "qualname": "qualify_tables", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified tables. Additionally, this\nreplaces \"join constructs\" (*) by equivalent SELECT * subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n>>>\n>>> expression = sqlglot.parse_one("SELECT * FROM (tbl1 JOIN tbl2 ON id1 = id2)")\n>>> qualify_tables(expression).sql()\n'SELECT * FROM (SELECT * FROM tbl1 AS tbl1 JOIN tbl2 AS tbl2 ON id1 = id2) AS _q_0'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to qualify
    • \n
  • db (str): Database name
    • \n
  • catalog (str): Catalog name
    • \n
  • schema: A schema to populate
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n\n

(*) See section 7.2.1.2 in https://www.postgresql.org/docs/current/queries-table-expressions.html

\n", "signature": "(expression, db=None, catalog=None, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "

Selection scope.

\n\n
Attributes:
\n\n
    \n
  • expression (exp.Select|exp.Union): Root expression of this scope
    • \n
  • sources (dict[str, exp.Table|Scope]): Mapping of source name to either\na Table expression or another Scope instance. For example:\n SELECT * FROM x {\"x\": Table(this=\"x\")}\n SELECT * FROM x AS y {\"y\": Table(this=\"x\")}\n SELECT * FROM (SELECT ...) AS y {\"y\": Scope(...)}
    • \n
  • lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals\nFor example:\n SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;\nThe LATERAL VIEW EXPLODE gets x as a source.
    • \n
  • outer_column_list (list[str]): If this is a derived table or CTE, and the outer query\ndefines a column list of it's alias of this scope, this is that list of columns.\nFor example:\n SELECT * FROM (SELECT ...) AS y(col1, col2)\nThe inner query would have [\"col1\", \"col2\"] for its outer_column_list
    • \n
  • parent (Scope): Parent scope
    • \n
  • scope_type (ScopeType): Type of this scope, relative to it's parent
    • \n
  • subquery_scopes (list[Scope]): List of all child scopes for subqueries
    • \n
  • cte_scopes (list[Scope]): List of all child scopes for CTEs
    • \n
  • derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
    • \n
  • udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
    • \n
  • table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
    • \n
  • union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be\na list of the left and right child scopes.
    • \n
\n"}, "sqlglot.optimizer.scope.Scope.__init__": {"fullname": "sqlglot.optimizer.scope.Scope.__init__", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression,\tsources=None,\touter_column_list=None,\tparent=None,\tscope_type=<ScopeType.ROOT: 1>,\tlateral_sources=None)"}, "sqlglot.optimizer.scope.Scope.clear_cache": {"fullname": "sqlglot.optimizer.scope.Scope.clear_cache", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.clear_cache", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.branch": {"fullname": "sqlglot.optimizer.scope.Scope.branch", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.branch", "kind": "function", "doc": "

Branch from the current scope to a new, inner scope

\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "

\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "

Returns the first node in this scope which matches at least one of the specified types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Returns:
\n\n
\n

exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Yields:
\n\n
\n

exp.Expression: nodes

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "

Replace old with new.

\n\n

This can be used instead of exp.Expression.replace to ensure the Scope is kept up-to-date.

\n\n
Arguments:
\n\n
    \n
  • old (exp.Expression): old node
    • \n
  • new (exp.Expression): new node
    • \n
\n", "signature": "(self, old, new):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.tables": {"fullname": "sqlglot.optimizer.scope.Scope.tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.tables", "kind": "variable", "doc": "

List of tables in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Table]: tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "

List of CTEs in this scope.

\n\n
Returns:
\n\n
\n

list[exp.CTE]: ctes

\n
\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "

List of derived tables in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM (SELECT ...) <- that's a derived table

\n
\n\n
Returns:
\n\n
\n

list[exp.Subquery]: derived tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "

List of \"User Defined Tabular Functions\" in this scope.

\n\n
Returns:
\n\n
\n

list[exp.UDTF]: UDTFs

\n
\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "

List of subqueries in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery

\n
\n\n
Returns:
\n\n
\n

list[exp.Subqueryable]: subqueries

\n
\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "

List of columns in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.

\n
\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "

Mapping of nodes and sources that are actually selected from in this scope.

\n\n

That is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.

\n\n
Returns:
\n\n
\n

dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes

\n
\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "

Sources that are CTEs.

\n\n
Returns:
\n\n
\n

dict[str, Scope]: Mapping of source alias to Scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "

Select expressions of this scope.

\n\n

For example, for the following expression:\n SELECT 1 as a, 2 as b FROM x

\n\n

The outputs are the \"1 as a\" and \"2 as b\" expressions.

\n\n
Returns:
\n\n
\n

list[exp.Expression]: expressions

\n
\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "

Columns that appear to reference sources in outer scopes.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that don't reference\n sources in the current scope.

\n
\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "

Unqualified columns in the current scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Unqualified columns

\n
\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "

Hints that exist in the scope that reference tables

\n\n
Returns:
\n\n
\n

list[exp.JoinHint]: Join hints that are referenced within the scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "

Get all columns in the current scope for a particular source.

\n\n
Arguments:
\n\n
    \n
  • source_name (str): Name of the source
    • \n
\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that reference source_name

\n
\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "

Determine if this scope is a subquery

\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "

Determine if this scope is a derived table

\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "

Determine if this scope is a union

\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "

Determine if this scope is a common table expression

\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "

Determine if this is the root scope

\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "

Determine if this scope is a UDTF (User Defined Table Function)

\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "

Determine if this scope is a correlated subquery

\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "

Rename a source in this scope

\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "

Add a source to this scope

\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "

Remove a source from this scope

\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "

Traverse the scope tree from this node.

\n\n
Yields:
\n\n
\n

Scope: scope instances in depth-first-search post-order

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "

Count the number of times each scope in this tree is referenced.

\n\n
Returns:
\n\n
\n

dict[int, int]: Mapping of Scope instance ID to reference count

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "

Traverse an expression by it's \"scopes\".

\n\n

\"Scope\" represents the current context of a Select statement.

\n\n

This is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to traverse
    • \n
\n\n
Returns:
\n\n
\n

list[Scope]: scope instances

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> List[sqlglot.optimizer.scope.Scope]:", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "

Build a scope tree.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to build the scope tree for
    • \n
\n\n
Returns:
\n\n
\n

Scope: root scope

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> Optional[sqlglot.optimizer.scope.Scope]:", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "

Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression):
    • \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
    • \n
\n\n
Yields:
\n\n
\n

tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key

\n
\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "

Rewrite sqlglot AST to simplify expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to simplify
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: simplified expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "

Rewrite x between y and z to x >= y AND x <= z.

\n\n

This is done because comparison simplification is only done on lt/lte/gt/gte.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "

Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "

A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "

Removing compliments.

\n\n

A AND NOT A -> FALSE\nA OR NOT A -> TRUE

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "

Uniq and sort a connector.

\n\n

C AND A AND B AND B -> A AND B AND C

\n", "signature": "(expression, generate, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "

absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "

\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_false": {"fullname": "sqlglot.optimizer.simplify.is_false", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_false", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_null": {"fullname": "sqlglot.optimizer.simplify.is_null", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_null", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "

\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "

\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "

\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "

\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "

\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to convert some predicates with subqueries into joins.

\n\n

Convert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to unnest
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: unnested expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, sequence):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, external_columns, sequence):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "

\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.parser.parse_like": {"fullname": "sqlglot.parser.parse_like", "modulename": "sqlglot.parser", "qualname": "parse_like", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.parser.binary_range_parser": {"fullname": "sqlglot.parser.binary_range_parser", "modulename": "sqlglot.parser", "qualname": "binary_range_parser", "kind": "function", "doc": "

\n", "signature": "(\texpr_type: Type[sqlglot.expressions.Expression]) -> Callable[[sqlglot.parser.Parser, Optional[sqlglot.expressions.Expression]], Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: the desired error level.\nDefault: ErrorLevel.RAISE
    • \n
  • error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
    • \n
  • index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
    • \n
  • alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
    • \n
\n"}, "sqlglot.parser.Parser.__init__": {"fullname": "sqlglot.parser.Parser.__init__", "modulename": "sqlglot.parser", "qualname": "Parser.__init__", "kind": "function", "doc": "

\n", "signature": "(\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\terror_message_context: int = 100,\tindex_offset: int = 0,\tunnest_column_only: bool = False,\talias_post_tablesample: bool = False,\tmax_errors: int = 3,\tnull_ordering: Optional[str] = None)"}, "sqlglot.parser.Parser.reset": {"fullname": "sqlglot.parser.Parser.reset", "modulename": "sqlglot.parser", "qualname": "Parser.reset", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.parser.Parser.parse": {"fullname": "sqlglot.parser.Parser.parse", "modulename": "sqlglot.parser", "qualname": "Parser.parse", "kind": "function", "doc": "

Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • raw_tokens: the list of tokens.
    • \n
  • sql: the original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The list of syntax trees.

\n
\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "

Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to try and parse the token list into.
    • \n
  • raw_tokens: the list of tokens.
    • \n
  • sql: the original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The target Expression.

\n
\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "

Logs or raises any found errors, depending on the chosen error level setting.

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "

Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.

\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "

Creates a new, validated Expression.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
    • \n
  • comments: an optional list of comments to attach to the expression.
    • \n
  • kwargs: the arguments to set for the expression along with their respective values.
    • \n
\n\n
Returns:
\n\n
\n

The target expression.

\n
\n", "signature": "(\tself,\texp_class: Type[~E],\tcomments: Optional[List[str]] = None,\t**kwargs) -> ~E:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "

Validates an already instantiated expression, making sure that all its mandatory arguments\nare set.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to validate.
    • \n
  • args: an optional list of items that was used to instantiate the expression, if it's a Func.
    • \n
\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\targs: Optional[List] = None) -> None:", "funcdef": "def"}, "sqlglot.planner": {"fullname": "sqlglot.planner", "modulename": "sqlglot.planner", "kind": "module", "doc": "

\n"}, "sqlglot.planner.Plan": {"fullname": "sqlglot.planner.Plan", "modulename": "sqlglot.planner", "qualname": "Plan", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Plan.__init__": {"fullname": "sqlglot.planner.Plan.__init__", "modulename": "sqlglot.planner", "qualname": "Plan.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.planner.Step": {"fullname": "sqlglot.planner.Step", "modulename": "sqlglot.planner", "qualname": "Step", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Step.from_expression": {"fullname": "sqlglot.planner.Step.from_expression", "modulename": "sqlglot.planner", "qualname": "Step.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "

\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "

\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "

\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "

Abstract base class for database schemas

\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "

Register or update a table. Some implementing classes may require column information to also be provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.Schema.column_names": {"fullname": "sqlglot.schema.Schema.column_names", "modulename": "sqlglot.schema", "qualname": "Schema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "

Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")

\n", "annotation": ": Tuple[str, ...]"}, "sqlglot.schema.Schema.empty": {"fullname": "sqlglot.schema.Schema.empty", "modulename": "sqlglot.schema", "qualname": "Schema.empty", "kind": "variable", "doc": "

Returns whether or not the schema is empty.

\n", "annotation": ": bool"}, "sqlglot.schema.AbstractMappingSchema": {"fullname": "sqlglot.schema.AbstractMappingSchema", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(mapping: Optional[Dict] = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "

\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"fullname": "sqlglot.schema.AbstractMappingSchema.nested_get", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.nested_get", "kind": "function", "doc": "

\n", "signature": "(\tself,\tparts: Sequence[str],\td: Optional[Dict] = None,\traise_on_missing=True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "

Schema based on a nested mapping.

\n\n
Arguments:
\n\n
    \n
  • schema: Mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
      2. \n
    2. {db: {table: {col: type}}}
      3. \n
    3. {catalog: {db: {table: {col: type}}}}
      4. \n
    4. None - Tables will be added later
      5. \n
    • \n
  • visible: Optional mapping of which columns in the schema are visible. If not provided, all columns\nare assumed to be visible. The nesting should mirror that of the schema:\n
      \n
    1. {table: set(cols)}}
      2. \n
    2. {db: {table: set(cols)}}}
      3. \n
    3. {catalog: {db: {table: set(*cols)}}}}
      4. \n
    • \n
  • dialect: The dialect to be used for custom type mappings & parsing string arguments.
    • \n
\n", "bases": "sqlglot.schema.AbstractMappingSchema[typing.Dict[str, str]], Schema"}, "sqlglot.schema.MappingSchema.__init__": {"fullname": "sqlglot.schema.MappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "MappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: Optional[Dict] = None,\tvisible: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None)"}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"fullname": "sqlglot.schema.MappingSchema.from_mapping_schema", "modulename": "sqlglot.schema", "qualname": "MappingSchema.from_mapping_schema", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmapping_schema: sqlglot.schema.MappingSchema) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.copy": {"fullname": "sqlglot.schema.MappingSchema.copy", "modulename": "sqlglot.schema", "qualname": "MappingSchema.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.add_table": {"fullname": "sqlglot.schema.MappingSchema.add_table", "modulename": "sqlglot.schema", "qualname": "MappingSchema.add_table", "kind": "function", "doc": "

Register or update a table. Updates are only performed if a new column mapping is provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.column_names": {"fullname": "sqlglot.schema.MappingSchema.column_names", "modulename": "sqlglot.schema", "qualname": "MappingSchema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Any,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "

\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]) -> Dict:", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.schema.nested_get": {"fullname": "sqlglot.schema.nested_get", "modulename": "sqlglot.schema", "qualname": "nested_get", "kind": "function", "doc": "

Get a value for a nested dictionary.

\n\n
Arguments:
\n\n
    \n
  • d: the dictionary to search.
    • \n
  • *path: tuples of (name, key), where:\nkey is the key in the dictionary to get.\nname is a string to use in the error if key isn't found.
    • \n
\n\n
Returns:
\n\n
\n

The value or None if it doesn't exist.

\n
\n", "signature": "(\td: Dict,\t*path: Tuple[str, str],\traise_on_missing: bool = True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.nested_set": {"fullname": "sqlglot.schema.nested_set", "modulename": "sqlglot.schema", "qualname": "nested_set", "kind": "function", "doc": "

In-place set a value for a nested dictionary

\n\n
Example:
\n\n
\n
\n
>>> nested_set({}, ["top_key", "second_key"], "value")\n{'top_key': {'second_key': 'value'}}\n
\n
\n \n
\n
>>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")\n{'top_key': {'third_key': 'third_value', 'second_key': 'value'}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d: dictionary to update.
    • \n
  • keys: the keys that makeup the path to value.
    • \n
  • value: the value to set in the dictionary for the given key path.
    • \n
\n\n
Returns:
\n\n
\n

The (possibly) updated dictionary.

\n
\n", "signature": "(d: Dict, keys: Sequence[str], value: Any) -> Dict:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "

\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "

Recursively dump an AST into a JSON-serializable dict.

\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]) -> Union[dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "

Recursively load a dict (as returned by dump) into an AST.

\n", "signature": "(\tobj: Union[dict, list, str, float, int, bool]) -> Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]:", "funcdef": "def"}, "sqlglot.time": {"fullname": "sqlglot.time", "modulename": "sqlglot.time", "kind": "module", "doc": "

\n"}, "sqlglot.time.format_time": {"fullname": "sqlglot.time.format_time", "modulename": "sqlglot.time", "qualname": "format_time", "kind": "function", "doc": "

Converts a time string given a mapping.

\n\n
Examples:
\n\n
\n
\n
>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
\n
\n \n

Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.

\n \n

Returns:\n The converted time string.

\n
\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "

\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_PAREN: 'R_PAREN'>"}, "sqlglot.tokens.TokenType.L_BRACKET": {"fullname": "sqlglot.tokens.TokenType.L_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACKET: 'L_BRACKET'>"}, "sqlglot.tokens.TokenType.R_BRACKET": {"fullname": "sqlglot.tokens.TokenType.R_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACKET: 'R_BRACKET'>"}, "sqlglot.tokens.TokenType.L_BRACE": {"fullname": "sqlglot.tokens.TokenType.L_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACE: 'L_BRACE'>"}, "sqlglot.tokens.TokenType.R_BRACE": {"fullname": "sqlglot.tokens.TokenType.R_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACE: 'R_BRACE'>"}, "sqlglot.tokens.TokenType.COMMA": {"fullname": "sqlglot.tokens.TokenType.COMMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMA: 'COMMA'>"}, "sqlglot.tokens.TokenType.DOT": {"fullname": "sqlglot.tokens.TokenType.DOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOT: 'DOT'>"}, "sqlglot.tokens.TokenType.DASH": {"fullname": "sqlglot.tokens.TokenType.DASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.DASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DASH: 'DASH'>"}, "sqlglot.tokens.TokenType.PLUS": {"fullname": "sqlglot.tokens.TokenType.PLUS", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLUS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLUS: 'PLUS'>"}, "sqlglot.tokens.TokenType.COLON": {"fullname": "sqlglot.tokens.TokenType.COLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLON: 'COLON'>"}, "sqlglot.tokens.TokenType.DCOLON": {"fullname": "sqlglot.tokens.TokenType.DCOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.DCOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DCOLON: 'DCOLON'>"}, "sqlglot.tokens.TokenType.SEMICOLON": {"fullname": "sqlglot.tokens.TokenType.SEMICOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMICOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMICOLON: 'SEMICOLON'>"}, "sqlglot.tokens.TokenType.STAR": {"fullname": "sqlglot.tokens.TokenType.STAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.STAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STAR: 'STAR'>"}, "sqlglot.tokens.TokenType.BACKSLASH": {"fullname": "sqlglot.tokens.TokenType.BACKSLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BACKSLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BACKSLASH: 'BACKSLASH'>"}, "sqlglot.tokens.TokenType.SLASH": {"fullname": "sqlglot.tokens.TokenType.SLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.SLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SLASH: 'SLASH'>"}, "sqlglot.tokens.TokenType.LT": {"fullname": "sqlglot.tokens.TokenType.LT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT: 'LT'>"}, "sqlglot.tokens.TokenType.LTE": {"fullname": "sqlglot.tokens.TokenType.LTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LTE: 'LTE'>"}, "sqlglot.tokens.TokenType.GT": {"fullname": "sqlglot.tokens.TokenType.GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GT: 'GT'>"}, "sqlglot.tokens.TokenType.GTE": {"fullname": "sqlglot.tokens.TokenType.GTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.GTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GTE: 'GTE'>"}, "sqlglot.tokens.TokenType.NOT": {"fullname": "sqlglot.tokens.TokenType.NOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOT: 'NOT'>"}, "sqlglot.tokens.TokenType.EQ": {"fullname": "sqlglot.tokens.TokenType.EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EQ: 'EQ'>"}, "sqlglot.tokens.TokenType.NEQ": {"fullname": "sqlglot.tokens.TokenType.NEQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEQ: 'NEQ'>"}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"fullname": "sqlglot.tokens.TokenType.NULLSAFE_EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLSAFE_EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>"}, "sqlglot.tokens.TokenType.AND": {"fullname": "sqlglot.tokens.TokenType.AND", "modulename": "sqlglot.tokens", "qualname": "TokenType.AND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AND: 'AND'>"}, "sqlglot.tokens.TokenType.OR": {"fullname": "sqlglot.tokens.TokenType.OR", "modulename": "sqlglot.tokens", "qualname": "TokenType.OR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OR: 'OR'>"}, "sqlglot.tokens.TokenType.AMP": {"fullname": "sqlglot.tokens.TokenType.AMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.AMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AMP: 'AMP'>"}, "sqlglot.tokens.TokenType.DPIPE": {"fullname": "sqlglot.tokens.TokenType.DPIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DPIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DPIPE: 'DPIPE'>"}, "sqlglot.tokens.TokenType.PIPE": {"fullname": "sqlglot.tokens.TokenType.PIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIPE: 'PIPE'>"}, "sqlglot.tokens.TokenType.CARET": {"fullname": "sqlglot.tokens.TokenType.CARET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CARET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CARET: 'CARET'>"}, "sqlglot.tokens.TokenType.TILDA": {"fullname": "sqlglot.tokens.TokenType.TILDA", "modulename": "sqlglot.tokens", "qualname": "TokenType.TILDA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TILDA: 'TILDA'>"}, "sqlglot.tokens.TokenType.ARROW": {"fullname": "sqlglot.tokens.TokenType.ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARROW: 'ARROW'>"}, "sqlglot.tokens.TokenType.DARROW": {"fullname": "sqlglot.tokens.TokenType.DARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DARROW: 'DARROW'>"}, "sqlglot.tokens.TokenType.FARROW": {"fullname": "sqlglot.tokens.TokenType.FARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.FARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FARROW: 'FARROW'>"}, "sqlglot.tokens.TokenType.HASH": {"fullname": "sqlglot.tokens.TokenType.HASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH: 'HASH'>"}, "sqlglot.tokens.TokenType.HASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.HASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH_ARROW: 'HASH_ARROW'>"}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.DHASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DHASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DHASH_ARROW: 'DHASH_ARROW'>"}, "sqlglot.tokens.TokenType.LR_ARROW": {"fullname": "sqlglot.tokens.TokenType.LR_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.LR_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LR_ARROW: 'LR_ARROW'>"}, "sqlglot.tokens.TokenType.LT_AT": {"fullname": "sqlglot.tokens.TokenType.LT_AT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT_AT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT_AT: 'LT_AT'>"}, "sqlglot.tokens.TokenType.AT_GT": {"fullname": "sqlglot.tokens.TokenType.AT_GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AT_GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AT_GT: 'AT_GT'>"}, "sqlglot.tokens.TokenType.DOLLAR": {"fullname": "sqlglot.tokens.TokenType.DOLLAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOLLAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOLLAR: 'DOLLAR'>"}, "sqlglot.tokens.TokenType.PARAMETER": {"fullname": "sqlglot.tokens.TokenType.PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARAMETER: 'PARAMETER'>"}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"fullname": "sqlglot.tokens.TokenType.SESSION_PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SESSION_PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SESSION_PARAMETER: 'SESSION_PARAMETER'>"}, "sqlglot.tokens.TokenType.DAMP": {"fullname": "sqlglot.tokens.TokenType.DAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DAMP: 'DAMP'>"}, "sqlglot.tokens.TokenType.BLOCK_START": {"fullname": "sqlglot.tokens.TokenType.BLOCK_START", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_START", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_START: 'BLOCK_START'>"}, "sqlglot.tokens.TokenType.BLOCK_END": {"fullname": "sqlglot.tokens.TokenType.BLOCK_END", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_END: 'BLOCK_END'>"}, "sqlglot.tokens.TokenType.SPACE": {"fullname": "sqlglot.tokens.TokenType.SPACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.SPACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SPACE: 'SPACE'>"}, "sqlglot.tokens.TokenType.BREAK": {"fullname": "sqlglot.tokens.TokenType.BREAK", "modulename": "sqlglot.tokens", "qualname": "TokenType.BREAK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BREAK: 'BREAK'>"}, "sqlglot.tokens.TokenType.STRING": {"fullname": "sqlglot.tokens.TokenType.STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRING: 'STRING'>"}, "sqlglot.tokens.TokenType.NUMBER": {"fullname": "sqlglot.tokens.TokenType.NUMBER", "modulename": "sqlglot.tokens", "qualname": "TokenType.NUMBER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NUMBER: 'NUMBER'>"}, "sqlglot.tokens.TokenType.IDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.IDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.IDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IDENTIFIER: 'IDENTIFIER'>"}, "sqlglot.tokens.TokenType.DATABASE": {"fullname": "sqlglot.tokens.TokenType.DATABASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATABASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATABASE: 'DATABASE'>"}, "sqlglot.tokens.TokenType.COLUMN": {"fullname": "sqlglot.tokens.TokenType.COLUMN", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN: 'COLUMN'>"}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"fullname": "sqlglot.tokens.TokenType.COLUMN_DEF", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN_DEF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN_DEF: 'COLUMN_DEF'>"}, "sqlglot.tokens.TokenType.SCHEMA": {"fullname": "sqlglot.tokens.TokenType.SCHEMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SCHEMA: 'SCHEMA'>"}, "sqlglot.tokens.TokenType.TABLE": {"fullname": "sqlglot.tokens.TokenType.TABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE: 'TABLE'>"}, "sqlglot.tokens.TokenType.VAR": {"fullname": "sqlglot.tokens.TokenType.VAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VAR: 'VAR'>"}, "sqlglot.tokens.TokenType.BIT_STRING": {"fullname": "sqlglot.tokens.TokenType.BIT_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT_STRING: 'BIT_STRING'>"}, "sqlglot.tokens.TokenType.HEX_STRING": {"fullname": "sqlglot.tokens.TokenType.HEX_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HEX_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HEX_STRING: 'HEX_STRING'>"}, "sqlglot.tokens.TokenType.BYTE_STRING": {"fullname": "sqlglot.tokens.TokenType.BYTE_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BYTE_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BYTE_STRING: 'BYTE_STRING'>"}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"fullname": "sqlglot.tokens.TokenType.NATIONAL_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATIONAL_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATIONAL_STRING: 'NATIONAL_STRING'>"}, "sqlglot.tokens.TokenType.RAW_STRING": {"fullname": "sqlglot.tokens.TokenType.RAW_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RAW_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RAW_STRING: 'RAW_STRING'>"}, "sqlglot.tokens.TokenType.BIT": {"fullname": "sqlglot.tokens.TokenType.BIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT: 'BIT'>"}, "sqlglot.tokens.TokenType.BOOLEAN": {"fullname": "sqlglot.tokens.TokenType.BOOLEAN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.tokens.TokenType.TINYINT": {"fullname": "sqlglot.tokens.TokenType.TINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TINYINT: 'TINYINT'>"}, "sqlglot.tokens.TokenType.UTINYINT": {"fullname": "sqlglot.tokens.TokenType.UTINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UTINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UTINYINT: 'UTINYINT'>"}, "sqlglot.tokens.TokenType.SMALLINT": {"fullname": "sqlglot.tokens.TokenType.SMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLINT: 'SMALLINT'>"}, "sqlglot.tokens.TokenType.USMALLINT": {"fullname": "sqlglot.tokens.TokenType.USMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.USMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USMALLINT: 'USMALLINT'>"}, "sqlglot.tokens.TokenType.INT": {"fullname": "sqlglot.tokens.TokenType.INT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT: 'INT'>"}, "sqlglot.tokens.TokenType.UINT": {"fullname": "sqlglot.tokens.TokenType.UINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UINT: 'UINT'>"}, "sqlglot.tokens.TokenType.BIGINT": {"fullname": "sqlglot.tokens.TokenType.BIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGINT: 'BIGINT'>"}, "sqlglot.tokens.TokenType.UBIGINT": {"fullname": "sqlglot.tokens.TokenType.UBIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UBIGINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UBIGINT: 'UBIGINT'>"}, "sqlglot.tokens.TokenType.INT128": {"fullname": "sqlglot.tokens.TokenType.INT128", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT128", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT128: 'INT128'>"}, "sqlglot.tokens.TokenType.UINT128": {"fullname": "sqlglot.tokens.TokenType.UINT128", "modulename": "sqlglot.tokens", "qualname": "TokenType.UINT128", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UINT128: 'UINT128'>"}, "sqlglot.tokens.TokenType.INT256": {"fullname": "sqlglot.tokens.TokenType.INT256", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT256", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT256: 'INT256'>"}, "sqlglot.tokens.TokenType.UINT256": {"fullname": "sqlglot.tokens.TokenType.UINT256", "modulename": "sqlglot.tokens", "qualname": "TokenType.UINT256", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UINT256: 'UINT256'>"}, "sqlglot.tokens.TokenType.FLOAT": {"fullname": "sqlglot.tokens.TokenType.FLOAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FLOAT: 'FLOAT'>"}, "sqlglot.tokens.TokenType.DOUBLE": {"fullname": "sqlglot.tokens.TokenType.DOUBLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOUBLE: 'DOUBLE'>"}, "sqlglot.tokens.TokenType.DECIMAL": {"fullname": "sqlglot.tokens.TokenType.DECIMAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DECIMAL: 'DECIMAL'>"}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"fullname": "sqlglot.tokens.TokenType.BIGDECIMAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGDECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGDECIMAL: 'BIGDECIMAL'>"}, "sqlglot.tokens.TokenType.CHAR": {"fullname": "sqlglot.tokens.TokenType.CHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHAR: 'CHAR'>"}, "sqlglot.tokens.TokenType.NCHAR": {"fullname": "sqlglot.tokens.TokenType.NCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NCHAR: 'NCHAR'>"}, "sqlglot.tokens.TokenType.VARCHAR": {"fullname": "sqlglot.tokens.TokenType.VARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARCHAR: 'VARCHAR'>"}, "sqlglot.tokens.TokenType.NVARCHAR": {"fullname": "sqlglot.tokens.TokenType.NVARCHAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.tokens.TokenType.TEXT": {"fullname": "sqlglot.tokens.TokenType.TEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEXT: 'TEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"fullname": "sqlglot.tokens.TokenType.MEDIUMTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.tokens.TokenType.LONGTEXT": {"fullname": "sqlglot.tokens.TokenType.LONGTEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"fullname": "sqlglot.tokens.TokenType.MEDIUMBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.tokens.TokenType.LONGBLOB": {"fullname": "sqlglot.tokens.TokenType.LONGBLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.tokens.TokenType.BINARY": {"fullname": "sqlglot.tokens.TokenType.BINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BINARY: 'BINARY'>"}, "sqlglot.tokens.TokenType.VARBINARY": {"fullname": "sqlglot.tokens.TokenType.VARBINARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARBINARY: 'VARBINARY'>"}, "sqlglot.tokens.TokenType.JSON": {"fullname": "sqlglot.tokens.TokenType.JSON", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSON: 'JSON'>"}, "sqlglot.tokens.TokenType.JSONB": {"fullname": "sqlglot.tokens.TokenType.JSONB", "modulename": "sqlglot.tokens", "qualname": "TokenType.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JSONB: 'JSONB'>"}, "sqlglot.tokens.TokenType.TIME": {"fullname": "sqlglot.tokens.TokenType.TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIME: 'TIME'>"}, "sqlglot.tokens.TokenType.TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"fullname": "sqlglot.tokens.TokenType.TIMESTAMPLTZ", "modulename": "sqlglot.tokens", "qualname": "TokenType.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.tokens.TokenType.DATETIME": {"fullname": "sqlglot.tokens.TokenType.DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATETIME: 'DATETIME'>"}, "sqlglot.tokens.TokenType.DATETIME64": {"fullname": "sqlglot.tokens.TokenType.DATETIME64", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATETIME64", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATETIME64: 'DATETIME64'>"}, "sqlglot.tokens.TokenType.DATE": {"fullname": "sqlglot.tokens.TokenType.DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATE: 'DATE'>"}, "sqlglot.tokens.TokenType.UUID": {"fullname": "sqlglot.tokens.TokenType.UUID", "modulename": "sqlglot.tokens", "qualname": "TokenType.UUID", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UUID: 'UUID'>"}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"fullname": "sqlglot.tokens.TokenType.GEOGRAPHY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.tokens.TokenType.NULLABLE": {"fullname": "sqlglot.tokens.TokenType.NULLABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLABLE: 'NULLABLE'>"}, "sqlglot.tokens.TokenType.GEOMETRY": {"fullname": "sqlglot.tokens.TokenType.GEOMETRY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.tokens.TokenType.HLLSKETCH": {"fullname": "sqlglot.tokens.TokenType.HLLSKETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.tokens.TokenType.HSTORE": {"fullname": "sqlglot.tokens.TokenType.HSTORE", "modulename": "sqlglot.tokens", "qualname": "TokenType.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HSTORE: 'HSTORE'>"}, "sqlglot.tokens.TokenType.SUPER": {"fullname": "sqlglot.tokens.TokenType.SUPER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SUPER: 'SUPER'>"}, "sqlglot.tokens.TokenType.SERIAL": {"fullname": "sqlglot.tokens.TokenType.SERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERIAL: 'SERIAL'>"}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"fullname": "sqlglot.tokens.TokenType.SMALLSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.tokens.TokenType.BIGSERIAL": {"fullname": "sqlglot.tokens.TokenType.BIGSERIAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.tokens.TokenType.XML": {"fullname": "sqlglot.tokens.TokenType.XML", "modulename": "sqlglot.tokens", "qualname": "TokenType.XML", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.XML: 'XML'>"}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.tokens.TokenType.MONEY": {"fullname": "sqlglot.tokens.TokenType.MONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MONEY: 'MONEY'>"}, "sqlglot.tokens.TokenType.SMALLMONEY": {"fullname": "sqlglot.tokens.TokenType.SMALLMONEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.tokens.TokenType.ROWVERSION": {"fullname": "sqlglot.tokens.TokenType.ROWVERSION", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.tokens.TokenType.IMAGE": {"fullname": "sqlglot.tokens.TokenType.IMAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IMAGE: 'IMAGE'>"}, "sqlglot.tokens.TokenType.VARIANT": {"fullname": "sqlglot.tokens.TokenType.VARIANT", "modulename": "sqlglot.tokens", "qualname": "TokenType.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VARIANT: 'VARIANT'>"}, "sqlglot.tokens.TokenType.OBJECT": {"fullname": "sqlglot.tokens.TokenType.OBJECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OBJECT: 'OBJECT'>"}, "sqlglot.tokens.TokenType.INET": {"fullname": "sqlglot.tokens.TokenType.INET", "modulename": "sqlglot.tokens", "qualname": "TokenType.INET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INET: 'INET'>"}, "sqlglot.tokens.TokenType.ALIAS": {"fullname": "sqlglot.tokens.TokenType.ALIAS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALIAS: 'ALIAS'>"}, "sqlglot.tokens.TokenType.ALTER": {"fullname": "sqlglot.tokens.TokenType.ALTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALTER: 'ALTER'>"}, "sqlglot.tokens.TokenType.ALWAYS": {"fullname": "sqlglot.tokens.TokenType.ALWAYS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALWAYS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALWAYS: 'ALWAYS'>"}, "sqlglot.tokens.TokenType.ALL": {"fullname": "sqlglot.tokens.TokenType.ALL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ALL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ALL: 'ALL'>"}, "sqlglot.tokens.TokenType.ANTI": {"fullname": "sqlglot.tokens.TokenType.ANTI", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANTI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANTI: 'ANTI'>"}, "sqlglot.tokens.TokenType.ANY": {"fullname": "sqlglot.tokens.TokenType.ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ANY: 'ANY'>"}, "sqlglot.tokens.TokenType.APPLY": {"fullname": "sqlglot.tokens.TokenType.APPLY", "modulename": "sqlglot.tokens", "qualname": "TokenType.APPLY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.APPLY: 'APPLY'>"}, "sqlglot.tokens.TokenType.ARRAY": {"fullname": "sqlglot.tokens.TokenType.ARRAY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARRAY: 'ARRAY'>"}, "sqlglot.tokens.TokenType.ASC": {"fullname": "sqlglot.tokens.TokenType.ASC", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASC: 'ASC'>"}, "sqlglot.tokens.TokenType.ASOF": {"fullname": "sqlglot.tokens.TokenType.ASOF", "modulename": "sqlglot.tokens", "qualname": "TokenType.ASOF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ASOF: 'ASOF'>"}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"fullname": "sqlglot.tokens.TokenType.AUTO_INCREMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AUTO_INCREMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>"}, "sqlglot.tokens.TokenType.BEGIN": {"fullname": "sqlglot.tokens.TokenType.BEGIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BEGIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BEGIN: 'BEGIN'>"}, "sqlglot.tokens.TokenType.BETWEEN": {"fullname": "sqlglot.tokens.TokenType.BETWEEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BETWEEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BETWEEN: 'BETWEEN'>"}, "sqlglot.tokens.TokenType.CACHE": {"fullname": "sqlglot.tokens.TokenType.CACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CACHE: 'CACHE'>"}, "sqlglot.tokens.TokenType.CASE": {"fullname": "sqlglot.tokens.TokenType.CASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CASE: 'CASE'>"}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"fullname": "sqlglot.tokens.TokenType.CHARACTER_SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CHARACTER_SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CHARACTER_SET: 'CHARACTER_SET'>"}, "sqlglot.tokens.TokenType.COLLATE": {"fullname": "sqlglot.tokens.TokenType.COLLATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLLATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLLATE: 'COLLATE'>"}, "sqlglot.tokens.TokenType.COMMAND": {"fullname": "sqlglot.tokens.TokenType.COMMAND", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMAND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMAND: 'COMMAND'>"}, "sqlglot.tokens.TokenType.COMMENT": {"fullname": "sqlglot.tokens.TokenType.COMMENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMENT: 'COMMENT'>"}, "sqlglot.tokens.TokenType.COMMIT": {"fullname": "sqlglot.tokens.TokenType.COMMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMIT: 'COMMIT'>"}, "sqlglot.tokens.TokenType.CONSTRAINT": {"fullname": "sqlglot.tokens.TokenType.CONSTRAINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.CONSTRAINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CONSTRAINT: 'CONSTRAINT'>"}, "sqlglot.tokens.TokenType.CREATE": {"fullname": "sqlglot.tokens.TokenType.CREATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CREATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CREATE: 'CREATE'>"}, "sqlglot.tokens.TokenType.CROSS": {"fullname": "sqlglot.tokens.TokenType.CROSS", "modulename": "sqlglot.tokens", "qualname": "TokenType.CROSS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CROSS: 'CROSS'>"}, "sqlglot.tokens.TokenType.CUBE": {"fullname": "sqlglot.tokens.TokenType.CUBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CUBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CUBE: 'CUBE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATE: 'CURRENT_DATE'>"}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_DATETIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>"}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIME", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIME: 'CURRENT_TIME'>"}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"fullname": "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>"}, "sqlglot.tokens.TokenType.CURRENT_USER": {"fullname": "sqlglot.tokens.TokenType.CURRENT_USER", "modulename": "sqlglot.tokens", "qualname": "TokenType.CURRENT_USER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CURRENT_USER: 'CURRENT_USER'>"}, "sqlglot.tokens.TokenType.DEFAULT": {"fullname": "sqlglot.tokens.TokenType.DEFAULT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DEFAULT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DEFAULT: 'DEFAULT'>"}, "sqlglot.tokens.TokenType.DELETE": {"fullname": "sqlglot.tokens.TokenType.DELETE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DELETE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DELETE: 'DELETE'>"}, "sqlglot.tokens.TokenType.DESC": {"fullname": "sqlglot.tokens.TokenType.DESC", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESC", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESC: 'DESC'>"}, "sqlglot.tokens.TokenType.DESCRIBE": {"fullname": "sqlglot.tokens.TokenType.DESCRIBE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DESCRIBE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DESCRIBE: 'DESCRIBE'>"}, "sqlglot.tokens.TokenType.DISTINCT": {"fullname": "sqlglot.tokens.TokenType.DISTINCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DISTINCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DISTINCT: 'DISTINCT'>"}, "sqlglot.tokens.TokenType.DIV": {"fullname": "sqlglot.tokens.TokenType.DIV", "modulename": "sqlglot.tokens", "qualname": "TokenType.DIV", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DIV: 'DIV'>"}, "sqlglot.tokens.TokenType.DROP": {"fullname": "sqlglot.tokens.TokenType.DROP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DROP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DROP: 'DROP'>"}, "sqlglot.tokens.TokenType.ELSE": {"fullname": "sqlglot.tokens.TokenType.ELSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ELSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ELSE: 'ELSE'>"}, "sqlglot.tokens.TokenType.END": {"fullname": "sqlglot.tokens.TokenType.END", "modulename": "sqlglot.tokens", "qualname": "TokenType.END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.END: 'END'>"}, "sqlglot.tokens.TokenType.ESCAPE": {"fullname": "sqlglot.tokens.TokenType.ESCAPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ESCAPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ESCAPE: 'ESCAPE'>"}, "sqlglot.tokens.TokenType.EXCEPT": {"fullname": "sqlglot.tokens.TokenType.EXCEPT", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXCEPT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXCEPT: 'EXCEPT'>"}, "sqlglot.tokens.TokenType.EXECUTE": {"fullname": "sqlglot.tokens.TokenType.EXECUTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXECUTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXECUTE: 'EXECUTE'>"}, "sqlglot.tokens.TokenType.EXISTS": {"fullname": "sqlglot.tokens.TokenType.EXISTS", "modulename": "sqlglot.tokens", "qualname": "TokenType.EXISTS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EXISTS: 'EXISTS'>"}, "sqlglot.tokens.TokenType.FALSE": {"fullname": "sqlglot.tokens.TokenType.FALSE", "modulename": "sqlglot.tokens", "qualname": "TokenType.FALSE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FALSE: 'FALSE'>"}, "sqlglot.tokens.TokenType.FETCH": {"fullname": "sqlglot.tokens.TokenType.FETCH", "modulename": "sqlglot.tokens", "qualname": "TokenType.FETCH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FETCH: 'FETCH'>"}, "sqlglot.tokens.TokenType.FILTER": {"fullname": "sqlglot.tokens.TokenType.FILTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.FILTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FILTER: 'FILTER'>"}, "sqlglot.tokens.TokenType.FINAL": {"fullname": "sqlglot.tokens.TokenType.FINAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FINAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FINAL: 'FINAL'>"}, "sqlglot.tokens.TokenType.FIRST": {"fullname": "sqlglot.tokens.TokenType.FIRST", "modulename": "sqlglot.tokens", "qualname": "TokenType.FIRST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FIRST: 'FIRST'>"}, "sqlglot.tokens.TokenType.FOR": {"fullname": "sqlglot.tokens.TokenType.FOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOR: 'FOR'>"}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"fullname": "sqlglot.tokens.TokenType.FOREIGN_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.FOREIGN_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>"}, "sqlglot.tokens.TokenType.FORMAT": {"fullname": "sqlglot.tokens.TokenType.FORMAT", "modulename": "sqlglot.tokens", "qualname": "TokenType.FORMAT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FORMAT: 'FORMAT'>"}, "sqlglot.tokens.TokenType.FROM": {"fullname": "sqlglot.tokens.TokenType.FROM", "modulename": "sqlglot.tokens", "qualname": "TokenType.FROM", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FROM: 'FROM'>"}, "sqlglot.tokens.TokenType.FULL": {"fullname": "sqlglot.tokens.TokenType.FULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.FULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FULL: 'FULL'>"}, "sqlglot.tokens.TokenType.FUNCTION": {"fullname": "sqlglot.tokens.TokenType.FUNCTION", "modulename": "sqlglot.tokens", "qualname": "TokenType.FUNCTION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FUNCTION: 'FUNCTION'>"}, "sqlglot.tokens.TokenType.GLOB": {"fullname": "sqlglot.tokens.TokenType.GLOB", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOB", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOB: 'GLOB'>"}, "sqlglot.tokens.TokenType.GLOBAL": {"fullname": "sqlglot.tokens.TokenType.GLOBAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.GLOBAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GLOBAL: 'GLOBAL'>"}, "sqlglot.tokens.TokenType.GROUP_BY": {"fullname": "sqlglot.tokens.TokenType.GROUP_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUP_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUP_BY: 'GROUP_BY'>"}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"fullname": "sqlglot.tokens.TokenType.GROUPING_SETS", "modulename": "sqlglot.tokens", "qualname": "TokenType.GROUPING_SETS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GROUPING_SETS: 'GROUPING_SETS'>"}, "sqlglot.tokens.TokenType.HAVING": {"fullname": "sqlglot.tokens.TokenType.HAVING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HAVING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HAVING: 'HAVING'>"}, "sqlglot.tokens.TokenType.HINT": {"fullname": "sqlglot.tokens.TokenType.HINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.HINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HINT: 'HINT'>"}, "sqlglot.tokens.TokenType.IF": {"fullname": "sqlglot.tokens.TokenType.IF", "modulename": "sqlglot.tokens", "qualname": "TokenType.IF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IF: 'IF'>"}, "sqlglot.tokens.TokenType.ILIKE": {"fullname": "sqlglot.tokens.TokenType.ILIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE: 'ILIKE'>"}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.ILIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ILIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ILIKE_ANY: 'ILIKE_ANY'>"}, "sqlglot.tokens.TokenType.IN": {"fullname": "sqlglot.tokens.TokenType.IN", "modulename": "sqlglot.tokens", "qualname": "TokenType.IN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IN: 'IN'>"}, "sqlglot.tokens.TokenType.INDEX": {"fullname": "sqlglot.tokens.TokenType.INDEX", "modulename": "sqlglot.tokens", "qualname": "TokenType.INDEX", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INDEX: 'INDEX'>"}, "sqlglot.tokens.TokenType.INNER": {"fullname": "sqlglot.tokens.TokenType.INNER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INNER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INNER: 'INNER'>"}, "sqlglot.tokens.TokenType.INSERT": {"fullname": "sqlglot.tokens.TokenType.INSERT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INSERT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INSERT: 'INSERT'>"}, "sqlglot.tokens.TokenType.INTERSECT": {"fullname": "sqlglot.tokens.TokenType.INTERSECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERSECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERSECT: 'INTERSECT'>"}, "sqlglot.tokens.TokenType.INTERVAL": {"fullname": "sqlglot.tokens.TokenType.INTERVAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTERVAL: 'INTERVAL'>"}, "sqlglot.tokens.TokenType.INTO": {"fullname": "sqlglot.tokens.TokenType.INTO", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTO: 'INTO'>"}, "sqlglot.tokens.TokenType.INTRODUCER": {"fullname": "sqlglot.tokens.TokenType.INTRODUCER", "modulename": "sqlglot.tokens", "qualname": "TokenType.INTRODUCER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INTRODUCER: 'INTRODUCER'>"}, "sqlglot.tokens.TokenType.IRLIKE": {"fullname": "sqlglot.tokens.TokenType.IRLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.IRLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IRLIKE: 'IRLIKE'>"}, "sqlglot.tokens.TokenType.IS": {"fullname": "sqlglot.tokens.TokenType.IS", "modulename": "sqlglot.tokens", "qualname": "TokenType.IS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IS: 'IS'>"}, "sqlglot.tokens.TokenType.ISNULL": {"fullname": "sqlglot.tokens.TokenType.ISNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.ISNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ISNULL: 'ISNULL'>"}, "sqlglot.tokens.TokenType.JOIN": {"fullname": "sqlglot.tokens.TokenType.JOIN", "modulename": "sqlglot.tokens", "qualname": "TokenType.JOIN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JOIN: 'JOIN'>"}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"fullname": "sqlglot.tokens.TokenType.JOIN_MARKER", "modulename": "sqlglot.tokens", "qualname": "TokenType.JOIN_MARKER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.JOIN_MARKER: 'JOIN_MARKER'>"}, "sqlglot.tokens.TokenType.KEEP": {"fullname": "sqlglot.tokens.TokenType.KEEP", "modulename": "sqlglot.tokens", "qualname": "TokenType.KEEP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.KEEP: 'KEEP'>"}, "sqlglot.tokens.TokenType.LANGUAGE": {"fullname": "sqlglot.tokens.TokenType.LANGUAGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LANGUAGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LANGUAGE: 'LANGUAGE'>"}, "sqlglot.tokens.TokenType.LATERAL": {"fullname": "sqlglot.tokens.TokenType.LATERAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.LATERAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LATERAL: 'LATERAL'>"}, "sqlglot.tokens.TokenType.LEFT": {"fullname": "sqlglot.tokens.TokenType.LEFT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LEFT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LEFT: 'LEFT'>"}, "sqlglot.tokens.TokenType.LIKE": {"fullname": "sqlglot.tokens.TokenType.LIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE: 'LIKE'>"}, "sqlglot.tokens.TokenType.LIKE_ANY": {"fullname": "sqlglot.tokens.TokenType.LIKE_ANY", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIKE_ANY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIKE_ANY: 'LIKE_ANY'>"}, "sqlglot.tokens.TokenType.LIMIT": {"fullname": "sqlglot.tokens.TokenType.LIMIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LIMIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LIMIT: 'LIMIT'>"}, "sqlglot.tokens.TokenType.LOAD": {"fullname": "sqlglot.tokens.TokenType.LOAD", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOAD", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOAD: 'LOAD'>"}, "sqlglot.tokens.TokenType.LOCK": {"fullname": "sqlglot.tokens.TokenType.LOCK", "modulename": "sqlglot.tokens", "qualname": "TokenType.LOCK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LOCK: 'LOCK'>"}, "sqlglot.tokens.TokenType.MAP": {"fullname": "sqlglot.tokens.TokenType.MAP", "modulename": "sqlglot.tokens", "qualname": "TokenType.MAP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MAP: 'MAP'>"}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"fullname": "sqlglot.tokens.TokenType.MATCH_RECOGNIZE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MATCH_RECOGNIZE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MATCH_RECOGNIZE: 'MATCH_RECOGNIZE'>"}, "sqlglot.tokens.TokenType.MERGE": {"fullname": "sqlglot.tokens.TokenType.MERGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.MERGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MERGE: 'MERGE'>"}, "sqlglot.tokens.TokenType.MOD": {"fullname": "sqlglot.tokens.TokenType.MOD", "modulename": "sqlglot.tokens", "qualname": "TokenType.MOD", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.MOD: 'MOD'>"}, "sqlglot.tokens.TokenType.NATURAL": {"fullname": "sqlglot.tokens.TokenType.NATURAL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATURAL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATURAL: 'NATURAL'>"}, "sqlglot.tokens.TokenType.NEXT": {"fullname": "sqlglot.tokens.TokenType.NEXT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEXT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEXT: 'NEXT'>"}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"fullname": "sqlglot.tokens.TokenType.NEXT_VALUE_FOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEXT_VALUE_FOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEXT_VALUE_FOR: 'NEXT_VALUE_FOR'>"}, "sqlglot.tokens.TokenType.NOTNULL": {"fullname": "sqlglot.tokens.TokenType.NOTNULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOTNULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOTNULL: 'NOTNULL'>"}, "sqlglot.tokens.TokenType.NULL": {"fullname": "sqlglot.tokens.TokenType.NULL", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULL", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULL: 'NULL'>"}, "sqlglot.tokens.TokenType.OFFSET": {"fullname": "sqlglot.tokens.TokenType.OFFSET", "modulename": "sqlglot.tokens", "qualname": "TokenType.OFFSET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OFFSET: 'OFFSET'>"}, "sqlglot.tokens.TokenType.ON": {"fullname": "sqlglot.tokens.TokenType.ON", "modulename": "sqlglot.tokens", "qualname": "TokenType.ON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ON: 'ON'>"}, "sqlglot.tokens.TokenType.ORDER_BY": {"fullname": "sqlglot.tokens.TokenType.ORDER_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDER_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDER_BY: 'ORDER_BY'>"}, "sqlglot.tokens.TokenType.ORDERED": {"fullname": "sqlglot.tokens.TokenType.ORDERED", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDERED", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDERED: 'ORDERED'>"}, "sqlglot.tokens.TokenType.ORDINALITY": {"fullname": "sqlglot.tokens.TokenType.ORDINALITY", "modulename": "sqlglot.tokens", "qualname": "TokenType.ORDINALITY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ORDINALITY: 'ORDINALITY'>"}, "sqlglot.tokens.TokenType.OUTER": {"fullname": "sqlglot.tokens.TokenType.OUTER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OUTER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OUTER: 'OUTER'>"}, "sqlglot.tokens.TokenType.OVER": {"fullname": "sqlglot.tokens.TokenType.OVER", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVER: 'OVER'>"}, "sqlglot.tokens.TokenType.OVERLAPS": {"fullname": "sqlglot.tokens.TokenType.OVERLAPS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERLAPS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERLAPS: 'OVERLAPS'>"}, "sqlglot.tokens.TokenType.OVERWRITE": {"fullname": "sqlglot.tokens.TokenType.OVERWRITE", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERWRITE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERWRITE: 'OVERWRITE'>"}, "sqlglot.tokens.TokenType.PARTITION": {"fullname": "sqlglot.tokens.TokenType.PARTITION", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION: 'PARTITION'>"}, "sqlglot.tokens.TokenType.PARTITION_BY": {"fullname": "sqlglot.tokens.TokenType.PARTITION_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION_BY: 'PARTITION_BY'>"}, "sqlglot.tokens.TokenType.PERCENT": {"fullname": "sqlglot.tokens.TokenType.PERCENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PERCENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PERCENT: 'PERCENT'>"}, "sqlglot.tokens.TokenType.PIVOT": {"fullname": "sqlglot.tokens.TokenType.PIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIVOT: 'PIVOT'>"}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"fullname": "sqlglot.tokens.TokenType.PLACEHOLDER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLACEHOLDER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLACEHOLDER: 'PLACEHOLDER'>"}, "sqlglot.tokens.TokenType.PRAGMA": {"fullname": "sqlglot.tokens.TokenType.PRAGMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRAGMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRAGMA: 'PRAGMA'>"}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"fullname": "sqlglot.tokens.TokenType.PRIMARY_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRIMARY_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>"}, "sqlglot.tokens.TokenType.PROCEDURE": {"fullname": "sqlglot.tokens.TokenType.PROCEDURE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROCEDURE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROCEDURE: 'PROCEDURE'>"}, "sqlglot.tokens.TokenType.PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROPERTIES: 'PROPERTIES'>"}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"fullname": "sqlglot.tokens.TokenType.PSEUDO_TYPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PSEUDO_TYPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>"}, "sqlglot.tokens.TokenType.QUALIFY": {"fullname": "sqlglot.tokens.TokenType.QUALIFY", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUALIFY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUALIFY: 'QUALIFY'>"}, "sqlglot.tokens.TokenType.QUOTE": {"fullname": "sqlglot.tokens.TokenType.QUOTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUOTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUOTE: 'QUOTE'>"}, "sqlglot.tokens.TokenType.RANGE": {"fullname": "sqlglot.tokens.TokenType.RANGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RANGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RANGE: 'RANGE'>"}, "sqlglot.tokens.TokenType.RECURSIVE": {"fullname": "sqlglot.tokens.TokenType.RECURSIVE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RECURSIVE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RECURSIVE: 'RECURSIVE'>"}, "sqlglot.tokens.TokenType.REPLACE": {"fullname": "sqlglot.tokens.TokenType.REPLACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.REPLACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REPLACE: 'REPLACE'>"}, "sqlglot.tokens.TokenType.RETURNING": {"fullname": "sqlglot.tokens.TokenType.RETURNING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RETURNING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RETURNING: 'RETURNING'>"}, "sqlglot.tokens.TokenType.REFERENCES": {"fullname": "sqlglot.tokens.TokenType.REFERENCES", "modulename": "sqlglot.tokens", "qualname": "TokenType.REFERENCES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REFERENCES: 'REFERENCES'>"}, "sqlglot.tokens.TokenType.RIGHT": {"fullname": "sqlglot.tokens.TokenType.RIGHT", "modulename": "sqlglot.tokens", "qualname": "TokenType.RIGHT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RIGHT: 'RIGHT'>"}, "sqlglot.tokens.TokenType.RLIKE": {"fullname": "sqlglot.tokens.TokenType.RLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RLIKE: 'RLIKE'>"}, "sqlglot.tokens.TokenType.ROLLBACK": {"fullname": "sqlglot.tokens.TokenType.ROLLBACK", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLBACK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLBACK: 'ROLLBACK'>"}, "sqlglot.tokens.TokenType.ROLLUP": {"fullname": "sqlglot.tokens.TokenType.ROLLUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLUP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLUP: 'ROLLUP'>"}, "sqlglot.tokens.TokenType.ROW": {"fullname": "sqlglot.tokens.TokenType.ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROW: 'ROW'>"}, "sqlglot.tokens.TokenType.ROWS": {"fullname": "sqlglot.tokens.TokenType.ROWS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWS: 'ROWS'>"}, "sqlglot.tokens.TokenType.SELECT": {"fullname": "sqlglot.tokens.TokenType.SELECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SELECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SELECT: 'SELECT'>"}, "sqlglot.tokens.TokenType.SEMI": {"fullname": "sqlglot.tokens.TokenType.SEMI", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMI: 'SEMI'>"}, "sqlglot.tokens.TokenType.SEPARATOR": {"fullname": "sqlglot.tokens.TokenType.SEPARATOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEPARATOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEPARATOR: 'SEPARATOR'>"}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.SERDE_PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERDE_PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>"}, "sqlglot.tokens.TokenType.SET": {"fullname": "sqlglot.tokens.TokenType.SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SET: 'SET'>"}, "sqlglot.tokens.TokenType.SETTINGS": {"fullname": "sqlglot.tokens.TokenType.SETTINGS", "modulename": "sqlglot.tokens", "qualname": "TokenType.SETTINGS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SETTINGS: 'SETTINGS'>"}, "sqlglot.tokens.TokenType.SHOW": {"fullname": "sqlglot.tokens.TokenType.SHOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.SHOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SHOW: 'SHOW'>"}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"fullname": "sqlglot.tokens.TokenType.SIMILAR_TO", "modulename": "sqlglot.tokens", "qualname": "TokenType.SIMILAR_TO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SIMILAR_TO: 'SIMILAR_TO'>"}, "sqlglot.tokens.TokenType.SOME": {"fullname": "sqlglot.tokens.TokenType.SOME", "modulename": "sqlglot.tokens", "qualname": "TokenType.SOME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SOME: 'SOME'>"}, "sqlglot.tokens.TokenType.STRUCT": {"fullname": "sqlglot.tokens.TokenType.STRUCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRUCT: 'STRUCT'>"}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"fullname": "sqlglot.tokens.TokenType.TABLE_SAMPLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE_SAMPLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>"}, "sqlglot.tokens.TokenType.TEMPORARY": {"fullname": "sqlglot.tokens.TokenType.TEMPORARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEMPORARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEMPORARY: 'TEMPORARY'>"}, "sqlglot.tokens.TokenType.TOP": {"fullname": "sqlglot.tokens.TokenType.TOP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TOP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "

Token initializer.

\n\n
Arguments:
\n\n
    \n
  • token_type: The TokenType Enum.
    • \n
  • text: The text of the token.
    • \n
  • line: The line that the token ends on.
    • \n
  • col: The column that the token ends on.
    • \n
  • start: The start index of the token.
    • \n
  • end: The ending index of the token.
    • \n
\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tstart: int = 0,\tend: int = 0,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "

Returns a NUMBER token with number as its text.

\n", "signature": "(cls, number: int) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.string": {"fullname": "sqlglot.tokens.Token.string", "modulename": "sqlglot.tokens", "qualname": "Token.string", "kind": "function", "doc": "

Returns a STRING token with string as its text.

\n", "signature": "(cls, string: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.identifier": {"fullname": "sqlglot.tokens.Token.identifier", "modulename": "sqlglot.tokens", "qualname": "Token.identifier", "kind": "function", "doc": "

Returns an IDENTIFIER token with identifier as its text.

\n", "signature": "(cls, identifier: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.var": {"fullname": "sqlglot.tokens.Token.var", "modulename": "sqlglot.tokens", "qualname": "Token.var", "kind": "function", "doc": "

Returns an VAR token with var as its text.

\n", "signature": "(cls, var: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "

Returns a list of tokens corresponding to the SQL string sql.

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.transforms": {"fullname": "sqlglot.transforms", "modulename": "sqlglot.transforms", "kind": "module", "doc": "

\n"}, "sqlglot.transforms.unalias_group": {"fullname": "sqlglot.transforms.unalias_group", "modulename": "sqlglot.transforms", "qualname": "unalias_group", "kind": "function", "doc": "

Replace references to select aliases in GROUP BY clauses.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "

Convert SELECT DISTINCT ON statements to a subquery with a window function.

\n\n

This is useful for dialects that don't support SELECT DISTINCT ON but support window functions.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_qualify": {"fullname": "sqlglot.transforms.eliminate_qualify", "modulename": "sqlglot.transforms", "qualname": "eliminate_qualify", "kind": "function", "doc": "

Convert SELECT statements that contain the QUALIFY clause into subqueries, filtered equivalently.

\n\n

The idea behind this transformation can be seen in Snowflake's documentation for QUALIFY:\nhttps://docs.snowflake.com/en/sql-reference/constructs/qualify

\n\n

Some dialects don't support window functions in the WHERE clause, so we need to include them as\nprojections in the subquery, in order to refer to them in the outer filter using aliases. Also,\nif a column is referenced in the QUALIFY clause but is not selected, we need to include it too,\notherwise we won't be able to refer to it in the outer query's WHERE clause.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "

Some dialects only allow the precision for parameterized types to be defined in the DDL and not in\nother expressions. This transforms removes the precision from parameterized types in expressions.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.unnest_to_explode": {"fullname": "sqlglot.transforms.unnest_to_explode", "modulename": "sqlglot.transforms", "qualname": "unnest_to_explode", "kind": "function", "doc": "

Convert cross join unnest into lateral view explode (used in presto -> hive).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.explode_to_unnest": {"fullname": "sqlglot.transforms.explode_to_unnest", "modulename": "sqlglot.transforms", "qualname": "explode_to_unnest", "kind": "function", "doc": "

Convert explode/posexplode into unnest (used in hive -> presto).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_target_from_merge": {"fullname": "sqlglot.transforms.remove_target_from_merge", "modulename": "sqlglot.transforms", "qualname": "remove_target_from_merge", "kind": "function", "doc": "

Remove table refs from columns in when statements.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_within_group_for_percentiles": {"fullname": "sqlglot.transforms.remove_within_group_for_percentiles", "modulename": "sqlglot.transforms", "qualname": "remove_within_group_for_percentiles", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.add_recursive_cte_column_names": {"fullname": "sqlglot.transforms.add_recursive_cte_column_names", "modulename": "sqlglot.transforms", "qualname": "add_recursive_cte_column_names", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.preprocess": {"fullname": "sqlglot.transforms.preprocess", "modulename": "sqlglot.transforms", "qualname": "preprocess", "kind": "function", "doc": "

Creates a new transform by chaining a sequence of transformations and converts the resulting\nexpression to SQL, using either the \"_sql\" method corresponding to the resulting expression,\nor the appropriate Generator.TRANSFORMS function (when applicable -- see below).

\n\n
Arguments:
\n\n
    \n
  • transforms: sequence of transform functions. These will be called in order.
    • \n
\n\n
Returns:
\n\n
\n

Function that can be used as a generator transform.

\n
\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "

\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "

Creates a new trie out of a collection of keywords.

\n\n

The trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.

\n\n
Example:
\n\n
\n
\n
>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • keywords: the keywords to create the trie from.
    • \n
  • trie: a trie to mutate instead of creating a new one
    • \n
\n\n
Returns:
\n\n
\n

The trie corresponding to keywords.

\n
\n", "signature": "(\tkeywords: Iterable[Sequence[Hashable]],\ttrie: Optional[Dict] = None) -> Dict:", "funcdef": "def"}, "sqlglot.trie.in_trie": {"fullname": "sqlglot.trie.in_trie", "modulename": "sqlglot.trie", "qualname": "in_trie", "kind": "function", "doc": "

Checks whether a key is in a trie.

\n\n
Examples:
\n\n
\n
\n
>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • trie: the trie to be searched.
    • \n
  • key: the target key.
    • \n
\n\n
Returns:
\n\n
\n

A pair (value, subtrie), where subtrie is the sub-trie we get at the point where the search stops, and value\n is either 0 (search was unsuccessful), 1 (value is a prefix of a keyword in trie) or 2 (key is intrie`).

\n
\n", "signature": "(trie: Dict, key: Sequence[Hashable]) -> Tuple[int, Dict]:", "funcdef": "def"}}, "docInfo": {"sqlglot": {"qualname": 0, "fullname": 1, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 5861}, "sqlglot.pretty": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 1, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.schema": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parse": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 124, "bases": 0, "doc": 84}, "sqlglot.parse_one": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 198, "bases": 0, "doc": 99}, "sqlglot.transpile": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 239, "bases": 0, "doc": 177}, "sqlglot.dataframe": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3543}, "sqlglot.dataframe.sql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 259, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.select": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.where": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.union": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersect": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.distinct": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 100}, "sqlglot.dataframe.sql.DataFrame.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 217, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 80, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.limit": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.hint": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.repartition": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.cache": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.persist": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 20}, "sqlglot.dataframe.sql.GroupedData": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.count": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.mean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.avg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.max": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.min": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.sum": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.GroupedData.pivot": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 63, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_col": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_cols": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 98, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 123, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 92, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.binary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 85, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.unary_op": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ensure_literal": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.set_table_name": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.when": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.otherwise": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isNotNull": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.cast": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 53, "bases": 0, "doc": 27}, "sqlglot.dataframe.sql.Column.startswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.endswith": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.rlike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.like": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.ilike": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.substr": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 121, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.isin": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 81, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 97, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Column.over": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 177, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.Window.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 104, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameReader.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 3}, "sqlglot.dialects": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 764}, "sqlglot.dialects.bigquery": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.databricks.Databricks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.databricks.Databricks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 671}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.dialect": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 5}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.HIVE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SPARK": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TRINO": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TSQL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.DRILL": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 105, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.format_time": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parse_into": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 126, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 50, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.transpile": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 37, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.tokenize": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.Dialect.generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.rename_func": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.if_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.inline_array_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_ilike_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_tablesample_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_pivot_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_trycast_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_properties_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_position_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.struct_extract_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.var_map_sql": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 71}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 46}, "sqlglot.dialects.dialect.parse_date_delta": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 78, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.date_trunc_to_time": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.locate_to_strposition": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.timestrtotime_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.datestrtodate_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.min_or_least": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.max_or_greatest": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.count_if_to_sum": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.trim_sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.str_to_time_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.dialects.dialect.pivot_column_names": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 111, "bases": 0, "doc": 3}, "sqlglot.dialects.drill": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.drill.Drill": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.drill.Drill.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.drill.Drill.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.drill.Drill.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 81, "bases": 0, "doc": 3}, "sqlglot.dialects.hive": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.hive.Hive.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.hive.Hive.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.hive.Hive.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"qualname": 5, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.mysql.MySQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.mysql.MySQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.oracle.Oracle.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.postgres.Postgres": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.postgres.Postgres.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.presto": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.presto.Presto.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.presto.Presto.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.presto.Presto.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.redshift.Redshift": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.redshift.Redshift.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 671}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 58}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 19}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 75}, "sqlglot.dialects.snowflake": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.dialects.spark": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.spark.Spark": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.spark.Spark.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.spark.Spark.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 671}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2.Spark2": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.spark2.Spark2.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.spark2.Spark2.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 671}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.sqlite": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.sqlite.SQLite.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 174}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 671}, "sqlglot.dialects.tableau": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tableau.Tableau.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.teradata.Teradata.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.trino": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.trino.Trino": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.trino.Trino.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 671}, "sqlglot.dialects.trino.Trino.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 5, "doc": 3}, "sqlglot.dialects.tsql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"qualname": 6, "fullname": 9, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 174}, "sqlglot.dialects.tsql.TSQL.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.diff": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 6444}, "sqlglot.diff.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Insert.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Remove": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Remove.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Move": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.diff.Move.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.diff.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.diff.Update.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.Keep": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.diff.Keep.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.diff.diff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 206, "bases": 0, "doc": 306}, "sqlglot.diff.ChangeDistiller": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 46}, "sqlglot.diff.ChangeDistiller.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.diff.ChangeDistiller.diff": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 199, "bases": 0, "doc": 3}, "sqlglot.errors": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.errors.ErrorLevel": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.errors.ErrorLevel.IGNORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.WARN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 6}, "sqlglot.errors.ErrorLevel.RAISE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 12}, "sqlglot.errors.SqlglotError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 11}, "sqlglot.errors.UnsupportedError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ParseError.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.errors.ParseError.new": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 207, "bases": 0, "doc": 3}, "sqlglot.errors.TokenError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.OptimizeError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.SchemaError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.ExecuteError": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 11}, "sqlglot.errors.concat_messages": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.errors.merge_errors": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.executor": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 2950}, "sqlglot.executor.execute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 197, "bases": 0, "doc": 115}, "sqlglot.executor.context": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 64}, "sqlglot.executor.context.Context.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 21}, "sqlglot.executor.context.Context.eval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.eval_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.table_iter": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 72, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_row": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_index": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.context.Context.set_range": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.executor.env": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.env.reverse_key.__init__": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.env.filter_nulls": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.null_if_any": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 13, "bases": 0, "doc": 59}, "sqlglot.executor.env.str_position": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.env.substring": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.executor.env.cast": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.env.ordered": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.executor.env.interval": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.execute": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.generate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 16}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 15}, "sqlglot.executor.python.PythonExecutor.context": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.static": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_table": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.hash_join": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.aggregate": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.PythonExecutor.set_operation": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.executor.python.Python": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 4, "doc": 3}, "sqlglot.executor.python.Python.Tokenizer": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 3}, "sqlglot.executor.python.Python.Generator": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 671}, "sqlglot.executor.table": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.add_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.append": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.executor.table.Table.pop": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.TableIter.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RangeReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 9, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.executor.table.RowReader.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.executor.table.Tables": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 87}, "sqlglot.executor.table.ensure_tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.expressions": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 346}, "sqlglot.expressions.Expression.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Expression.this": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.text": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 32}, "sqlglot.expressions.Expression.is_string": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_number": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_int": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.alias": {"qualname": 2, "fullname": 4, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.expressions.Expression.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Expression.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.add_comments": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.expressions.Expression.append": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 54}, "sqlglot.expressions.Expression.set": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 45}, "sqlglot.expressions.Expression.depth": {"qualname": 2, "fullname": 4, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.iter_expressions": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 14}, "sqlglot.expressions.Expression.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 83}, "sqlglot.expressions.Expression.find_all": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 81}, "sqlglot.expressions.Expression.find_ancestor": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 43}, "sqlglot.expressions.Expression.parent_select": {"qualname": 3, "fullname": 5, "annotation": 4, "default_value": 0, "signature": 0, "bases": 0, "doc": 8}, "sqlglot.expressions.Expression.same_parent": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 13}, "sqlglot.expressions.Expression.root": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 10}, "sqlglot.expressions.Expression.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 89}, "sqlglot.expressions.Expression.dfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.bfs": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 33}, "sqlglot.expressions.Expression.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.unalias": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 12}, "sqlglot.expressions.Expression.unnest_operands": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 9}, "sqlglot.expressions.Expression.flatten": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 28}, "sqlglot.expressions.Expression.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 99, "bases": 0, "doc": 61}, "sqlglot.expressions.Expression.transform": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 111}, "sqlglot.expressions.Expression.replace": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 81}, "sqlglot.expressions.Expression.pop": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 22}, "sqlglot.expressions.Expression.assert_is": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 162}, "sqlglot.expressions.Expression.error_messages": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 43, "bases": 0, "doc": 79}, "sqlglot.expressions.Expression.dump": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 11}, "sqlglot.expressions.Expression.load": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 17}, "sqlglot.expressions.Condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Condition.and_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 168, "bases": 0, "doc": 183}, "sqlglot.expressions.Condition.or_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 168, "bases": 0, "doc": 183}, "sqlglot.expressions.Condition.not_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 108}, "sqlglot.expressions.Condition.as_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 178, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.isin": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 110, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.between": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.is_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.like": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.ilike": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.eq": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.neq": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.expressions.Condition.rlike": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 3}, "sqlglot.expressions.Predicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 13}, "sqlglot.expressions.DerivedTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unionable.union": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 201}, "sqlglot.expressions.Unionable.intersect": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 201}, "sqlglot.expressions.Unionable.except_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 202}, "sqlglot.expressions.UDTF": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Cache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Uncache": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Create": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Clone": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Describe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Pragma": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Set": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetItem": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Show": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UserDefinedFunction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSet": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.With": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithinGroup": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TableAlias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.HexString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ByteString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RawString": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Column.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Column.parts": {"qualname": 2, "fullname": 4, "annotation": 4, "default_value": 0, "signature": 0, "bases": 0, "doc": 15}, "sqlglot.expressions.Column.to_dot": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 10}, "sqlglot.expressions.ColumnPosition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnDef": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterColumn": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RenameTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetTag": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Comment": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeTreeTTLAction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeTreeTTL": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ColumnConstraintKind": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CheckColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CommentColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CompressColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateFormatColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefaultColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EncodeColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.InlineLengthColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NotNullColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OnUpdateColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TitleColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UniqueColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UppercaseColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PathColumnConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Constraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Delete.delete": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 150}, "sqlglot.expressions.Delete.where": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 226}, "sqlglot.expressions.Delete.returning": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 194}, "sqlglot.expressions.Drop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Filter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Check": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Directory": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ForeignKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PrimaryKey": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unique": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Into": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.From": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Having": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JoinHint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Identifier.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Index": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Insert.with_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 236, "bases": 0, "doc": 291}, "sqlglot.expressions.OnConflict": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Returning": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Introducer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.National": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LoadData": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Partition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Fetch": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Group": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lambda": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Limit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Literal.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.expressions.Literal.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Join.on": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 239}, "sqlglot.expressions.Join.using": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 241}, "sqlglot.expressions.Lateral": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MatchRecognize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Final": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Offset": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Order": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cluster": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distribute": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ordered": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Property": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlgorithmProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AutoIncrementProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BlockCompressionProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CharacterSetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ChecksumProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CollateProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataBlocksizeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DefinerProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DistStyleProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EngineProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExecuteAsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ExternalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FallbackProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FileFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FreespaceProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.InputOutputFormat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IsolatedLoadingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JournalProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LanguageProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LikeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LocationProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LockingProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MaterializedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MergeBlockRatioProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NoPrimaryIndexProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OnCommitProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PartitionedByProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReturnsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatDelimitedProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowFormatSerdeProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SchemaCommentProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SerdeProperties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SettingsProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortKeyProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SqlSecurityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StabilityProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TemporaryProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TransientProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VolatileProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithDataProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WithJournalTableProperty": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Properties.Location": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_NAME": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_WITH": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.Properties.from_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.expressions.Qualify": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Return": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reference": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tuple": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tuple.isin": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 110, "bases": 0, "doc": 3}, "sqlglot.expressions.Subqueryable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Subqueryable.subquery": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 89, "bases": 0, "doc": 213}, "sqlglot.expressions.Subqueryable.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 166, "bases": 0, "doc": 3}, "sqlglot.expressions.Subqueryable.with_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 236, "bases": 0, "doc": 301}, "sqlglot.expressions.Table": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Table.parts": {"qualname": 2, "fullname": 4, "annotation": 4, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.expressions.SystemTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Union.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 166, "bases": 0, "doc": 221}, "sqlglot.expressions.Union.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 245}, "sqlglot.expressions.Union.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Except": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unnest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lock": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Select.from_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 160, "bases": 0, "doc": 199}, "sqlglot.expressions.Select.group_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 275}, "sqlglot.expressions.Select.order_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 250}, "sqlglot.expressions.Select.sort_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 264}, "sqlglot.expressions.Select.cluster_by": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 264}, "sqlglot.expressions.Select.limit": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 166, "bases": 0, "doc": 219}, "sqlglot.expressions.Select.offset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 166, "bases": 0, "doc": 219}, "sqlglot.expressions.Select.select": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 196}, "sqlglot.expressions.Select.lateral": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 235}, "sqlglot.expressions.Select.join": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 372, "bases": 0, "doc": 621}, "sqlglot.expressions.Select.where": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 253}, "sqlglot.expressions.Select.having": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 275}, "sqlglot.expressions.Select.window": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 3}, "sqlglot.expressions.Select.qualify": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 186, "bases": 0, "doc": 3}, "sqlglot.expressions.Select.distinct": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 102, "bases": 0, "doc": 157}, "sqlglot.expressions.Select.ctas": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 184, "bases": 0, "doc": 223}, "sqlglot.expressions.Select.lock": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 331}, "sqlglot.expressions.Select.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Subquery.unnest": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 8}, "sqlglot.expressions.Subquery.is_star": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.expressions.Subquery.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.TableSample": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Tag": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 15}, "sqlglot.expressions.Pivot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Window": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WindowSpec": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Where": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Star.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Parameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SessionParameter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Placeholder": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Boolean": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataTypeSize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DataType.Type": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.expressions.DataType.Type.ARRAY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BIT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.CHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DATETIME64": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DECIMAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.DOUBLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.FLOAT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.HSTORE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.IMAGE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT128": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INT256": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.INTERVAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSON": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.JSONB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MAP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.MONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NULLABLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.OBJECT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.STRUCT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.SUPER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TEXT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.TINYINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UBIGINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.USMALLINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UTINYINT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UINT128": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UINT256": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.UUID": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARBINARY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARCHAR": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.VARIANT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.Type.XML": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.build": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 157, "bases": 0, "doc": 3}, "sqlglot.expressions.DataType.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.PseudoType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SubqueryPredicate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.All": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Any": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exists": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Command": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Transaction": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Commit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Rollback": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AlterTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AddConstraint": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DropPartition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Binary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Add": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Connector": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.And": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Or": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseAnd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseLeftShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseRightShift": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseXor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Div": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Overlaps": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Dot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Dot.build": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 12}, "sqlglot.expressions.DPipe": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.EQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.NullSafeNEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Distance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Escape": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Glob": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.GTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ILikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.IntDiv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Is": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Kwarg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 12}, "sqlglot.expressions.Like": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LikeAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LT": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.LTE": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Mod": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Mul": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NEQ": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.SimilarTo": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.Slice": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayOverlaps": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unary": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.BitwiseNot": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Not": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Neg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Alias.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Aliases": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AtTimeZone": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Between": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Bracket": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Distinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.In": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeUnit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 10}, "sqlglot.expressions.TimeUnit.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Interval": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IgnoreNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RespectNulls": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 128}, "sqlglot.expressions.Func.from_arg_list": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.sql_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.Func.default_parser_mappings": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.expressions.AggFunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ParameterizedAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Abs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Anonymous": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hll": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxDistinct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Array": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ToChar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GenerateSeries": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAll": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayAny": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.ArrayContained": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayFilter": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayJoin": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySize": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArraySum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ArrayUnionAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Avg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.AnyValue": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Case": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Case.when": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 3}, "sqlglot.expressions.Case.else_": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 3}, "sqlglot.expressions.Cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Cast.output_name": {"qualname": 3, "fullname": 5, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 210}, "sqlglot.expressions.Cast.is_type": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.expressions.CastToStrType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Collate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TryCast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ceil": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Coalesce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Concat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ConcatWs": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Count": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CountIf": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentDatetime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentTimestamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.CurrentUser": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DatetimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DatetimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DayOfWeek": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DayOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.WeekOfYear": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LastDateOfMonth": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Extract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimestampAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimestampTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeSub": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeDiff": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TimeTrunc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.DateFromParts": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DateToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Day": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Decode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.DiToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Encode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Exp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Explode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Floor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.FromBase64": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ToBase64": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Greatest": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.GroupConcat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Hex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.If": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.IfNull": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Initcap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONKeyValue": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONObject": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OpenJSONColumnDef": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.OpenJSON": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBContains": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.JSONExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONBExtractScalar": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.JSONFormat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Least": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Length": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Levenshtein": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Ln": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Log10": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogicalOr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.LogicalAnd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Lower": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Map": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StarMap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VarMap": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MatchAgainst": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Max": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.MD5": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Min": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Month": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Nvl2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Posexplode": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Pow": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.PercentileCont": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.PercentileDisc": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Quantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ApproxQuantile": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RangeN": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.ReadCSV": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Reduce": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpLike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpILike": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RegexpSplit": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Repeat": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Round": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.RowNumber": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SafeDivide": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SetAgg": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SHA": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SHA2": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.SortArray": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Split": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Substring": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StandardHash": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrPosition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NumberToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Struct": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StructExtract": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sum": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Sqrt": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Stddev": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevPop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.StddevSamp": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TimeStrToUnix": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Trim": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsAdd": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 3}, "sqlglot.expressions.TsOrDsToDateStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDsToDate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.TsOrDiToDi": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Unhex": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTime": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.UnixToTimeStr": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Upper": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Variance": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.VariancePop": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Week": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.XMLTable": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Year": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Use": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.Merge": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.When": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.NextValueFor": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.expressions.maybe_parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 270, "bases": 0, "doc": 231}, "sqlglot.expressions.union": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 187, "bases": 0, "doc": 216}, "sqlglot.expressions.intersect": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 187, "bases": 0, "doc": 216}, "sqlglot.expressions.except_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 187, "bases": 0, "doc": 217}, "sqlglot.expressions.select": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 138, "bases": 0, "doc": 206}, "sqlglot.expressions.from_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 136, "bases": 0, "doc": 205}, "sqlglot.expressions.update": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 234, "bases": 0, "doc": 263}, "sqlglot.expressions.delete": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 228, "bases": 0, "doc": 164}, "sqlglot.expressions.insert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 259, "bases": 0, "doc": 197}, "sqlglot.expressions.condition": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 154, "bases": 0, "doc": 347}, "sqlglot.expressions.and_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 192}, "sqlglot.expressions.or_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 192}, "sqlglot.expressions.not_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 154, "bases": 0, "doc": 159}, "sqlglot.expressions.paren": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 122}, "sqlglot.expressions.to_identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 69}, "sqlglot.expressions.to_interval": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 16}, "sqlglot.expressions.to_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 101}, "sqlglot.expressions.to_column": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 62}, "sqlglot.expressions.alias_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 242, "bases": 0, "doc": 305}, "sqlglot.expressions.subquery": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 182, "bases": 0, "doc": 188}, "sqlglot.expressions.column": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 74}, "sqlglot.expressions.cast": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 108, "bases": 0, "doc": 123}, "sqlglot.expressions.table_": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 75}, "sqlglot.expressions.values": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 131, "bases": 0, "doc": 143}, "sqlglot.expressions.var": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 58, "bases": 0, "doc": 168}, "sqlglot.expressions.rename_table": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 75, "bases": 0, "doc": 50}, "sqlglot.expressions.convert": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 74}, "sqlglot.expressions.replace_children": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 57, "bases": 0, "doc": 18}, "sqlglot.expressions.column_table_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 127}, "sqlglot.expressions.table_name": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 147}, "sqlglot.expressions.replace_tables": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 170}, "sqlglot.expressions.replace_placeholders": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 56, "bases": 0, "doc": 246}, "sqlglot.expressions.expand": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 91, "bases": 0, "doc": 338}, "sqlglot.expressions.func": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 122, "bases": 0, "doc": 272}, "sqlglot.expressions.true": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 8}, "sqlglot.expressions.false": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 8}, "sqlglot.expressions.null": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 7}, "sqlglot.generator": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.generator.Generator": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 671}, "sqlglot.generator.Generator.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 396, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generate": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 76, "bases": 0, "doc": 55}, "sqlglot.generator.Generator.unsupported": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sep": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.seg": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pad_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.maybe_comment": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 88, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.wrap": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.no_identify": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.normalize_func": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.indent": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sql": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uncache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cache_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.characterset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.column_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columnposition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columndef_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.columnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 36, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 20, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.create_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.clone_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.describe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.prepend_ctes": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablealias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hexstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bytestring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rawstring_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datatypesize_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datatype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.directory_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.delete_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.drop_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.except_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fetch_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.filter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.hint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.index_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.identifier_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.inputoutputformat_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.national_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.root_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.properties": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 117, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.with_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.locate_properties": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 77, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.property_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.likeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.fallbackproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.journalproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.freespaceproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.checksumproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lockingproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withdataproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.insert_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intersect_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.introducer_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pseudotype_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.onconflict_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.returning_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.table_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tablesample_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pivot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tuple_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.update_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.values_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.var_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.into_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.from_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.group_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.having_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.join_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lambda_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 59, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lateral_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.limit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.offset_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.setitem_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.set_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.pragma_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lock_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.literal_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.loaddata_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.null_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.boolean_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.order_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cluster_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distribute_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sort_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ordered_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.matchrecognize_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.query_modifiers": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 46, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.after_having_modifiers": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.after_limit_modifiers": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.select_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.schema_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.star_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.parameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sessionparameter_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.placeholder_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.subquery_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 55, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.qualify_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.union_op": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unnest_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.where_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.window_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.partition_by_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 52, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.windowspec_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.withingroup_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.between_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bracket_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.all_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.any_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.exists_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.case_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.constraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nextvaluefor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.extract_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trim_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.concat_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.check_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.foreignkey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.primarykey_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.unique_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.if_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.matchagainst_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.jsonobject_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.openjson_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.in_unnest_op": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.interval_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.return_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.reference_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.anonymous_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.paren_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.not_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.alias_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.aliases_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.attimezone_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.add_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.and_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.connector_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseand_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisenot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiseor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.bitwisexor_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.cast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.currentdate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.collate_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.command_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.comment_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mergetreettl_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.transaction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.commit_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.rollback_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altercolumn_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.renametable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.altertable_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.droppartition_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.addconstraint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distinct_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ignorenulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.respectnulls_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.intdiv_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dpipe_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.div_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.overlaps_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.distance_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.dot_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.eq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.escape_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.glob_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.gte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ilike_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.ilikeany_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.is_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.like_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.likeany_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.similarto_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lt_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.lte_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mod_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.mul_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.neq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeeq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.nullsafeneq_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.or_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.slice_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.sub_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.trycast_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.use_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.binary": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.function_fallback_sql": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.func": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_args": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.text_width": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.format_time": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.expressions": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 179, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.op_expressions": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.naked_property": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.set_operation": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tag_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.token_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.joinhint_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.kwarg_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.when_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.merge_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.Generator.tochar_sql": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.generator.cached_generator": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 65, "bases": 0, "doc": 7}, "sqlglot.helper": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.helper.AutoName": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 25}, "sqlglot.helper.seq_get": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 27}, "sqlglot.helper.ensure_list": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.ensure_collection": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 66}, "sqlglot.helper.csv": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 55}, "sqlglot.helper.subclasses": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 103, "bases": 0, "doc": 84}, "sqlglot.helper.apply_index_offset": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 76, "bases": 0, "doc": 98}, "sqlglot.helper.camel_to_snake_case": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 16}, "sqlglot.helper.while_changing": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 67, "bases": 0, "doc": 58}, "sqlglot.helper.tsort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 53}, "sqlglot.helper.open_file": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 19}, "sqlglot.helper.csv_reader": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 53}, "sqlglot.helper.find_new_name": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 50}, "sqlglot.helper.object_to_dict": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 12}, "sqlglot.helper.split_num_words": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 74, "bases": 0, "doc": 312}, "sqlglot.helper.is_iterable": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 132}, "sqlglot.helper.flatten": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 195}, "sqlglot.helper.dict_depth": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 19, "bases": 0, "doc": 194}, "sqlglot.helper.first": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 16}, "sqlglot.helper.should_identify": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 65}, "sqlglot.lineage": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.walk": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 30, "bases": 0, "doc": 3}, "sqlglot.lineage.Node.to_html": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.lineage.lineage": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 341, "bases": 0, "doc": 114}, "sqlglot.lineage.LineageHTML": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 18}, "sqlglot.lineage.LineageHTML.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 132, "bases": 0, "doc": 3}, "sqlglot.optimizer": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.annotate_types": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 42, "bases": 0, "doc": 331}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 35, "bases": 0, "doc": 3}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.canonicalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 62, "bases": 0, "doc": 59}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.coerce_type": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 39, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 166}, "sqlglot.optimizer.eliminate_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 195}, "sqlglot.optimizer.eliminate_joins.join_condition": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 46}, "sqlglot.optimizer.eliminate_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 278}, "sqlglot.optimizer.isolate_table_selects": {"qualname": 0, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"qualname": 3, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 172}, "sqlglot.optimizer.merge_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 276}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 64, "bases": 0, "doc": 188}, "sqlglot.optimizer.normalize.normalized": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 171}, "sqlglot.optimizer.normalize.distributive_law": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 39}, "sqlglot.optimizer.optimize_joins": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 132}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.normalize": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.optimize_joins.other_table_names": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.optimizer.optimize": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 642, "bases": 0, "doc": 223}, "sqlglot.optimizer.pushdown_predicates": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 186}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 20}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 31}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 7, "bases": 0, "doc": 3}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 33, "bases": 0, "doc": 201}, "sqlglot.optimizer.qualify_columns": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 112, "bases": 0, "doc": 232}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_columns.Resolver": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 27}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 32, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 50}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"qualname": 3, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"qualname": 4, "fullname": 8, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 13}, "sqlglot.optimizer.qualify_tables": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 320}, "sqlglot.optimizer.scope": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 5}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 8, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.CTE": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UNION": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 7, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 328}, "sqlglot.optimizer.scope.Scope.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 84, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.clear_cache": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.branch": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 12}, "sqlglot.optimizer.scope.Scope.walk": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.scope.Scope.find": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 97}, "sqlglot.optimizer.scope.Scope.find_all": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 90}, "sqlglot.optimizer.scope.Scope.replace": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 63}, "sqlglot.optimizer.scope.Scope.tables": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.ctes": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 21}, "sqlglot.optimizer.scope.Scope.derived_tables": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 43}, "sqlglot.optimizer.scope.Scope.udtfs": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.subqueries": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 44}, "sqlglot.optimizer.scope.Scope.columns": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 36}, "sqlglot.optimizer.scope.Scope.selected_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 69}, "sqlglot.optimizer.scope.Scope.cte_sources": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 24}, "sqlglot.optimizer.scope.Scope.selects": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.external_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 35}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 22}, "sqlglot.optimizer.scope.Scope.join_hints": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 30}, "sqlglot.optimizer.scope.Scope.source_columns": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 17, "bases": 0, "doc": 52}, "sqlglot.optimizer.scope.Scope.is_subquery": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.is_union": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_cte": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.optimizer.scope.Scope.is_root": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 9}, "sqlglot.optimizer.scope.Scope.is_udtf": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 14}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"qualname": 4, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.optimizer.scope.Scope.rename_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 23, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.add_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.remove_source": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 8}, "sqlglot.optimizer.scope.Scope.traverse": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 28}, "sqlglot.optimizer.scope.Scope.ref_count": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 34}, "sqlglot.optimizer.scope.traverse_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 330}, "sqlglot.optimizer.scope.build_scope": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 41}, "sqlglot.optimizer.scope.walk_in_scope": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 83}, "sqlglot.optimizer.simplify": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 138}, "sqlglot.optimizer.simplify.rewrite_between": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 31}, "sqlglot.optimizer.simplify.simplify_not": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 25}, "sqlglot.optimizer.simplify.flatten": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 24}, "sqlglot.optimizer.simplify.simplify_connectors": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_compliments": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 19}, "sqlglot.optimizer.simplify.uniq_sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 26, "bases": 0, "doc": 23}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 58}, "sqlglot.optimizer.simplify.simplify_literals": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.simplify_parens": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.remove_where_true": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.always_true": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_complement": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 16, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_false": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.is_null": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.eval_boolean": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 21, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_date": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.extract_interval": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.date_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.simplify.boolean_literal": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries": {"qualname": 0, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"qualname": 2, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 227}, "sqlglot.optimizer.unnest_subqueries.unnest": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 22, "bases": 0, "doc": 3}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"qualname": 1, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 28, "bases": 0, "doc": 3}, "sqlglot.parser": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parser.parse_var_map": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.parser.parse_like": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 29, "bases": 0, "doc": 3}, "sqlglot.parser.binary_range_parser": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 93, "bases": 0, "doc": 3}, "sqlglot.parser.Parser": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 174}, "sqlglot.parser.Parser.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 162, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 11, "bases": 0, "doc": 3}, "sqlglot.parser.Parser.parse": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 87, "bases": 0, "doc": 70}, "sqlglot.parser.Parser.parse_into": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 159, "bases": 0, "doc": 111}, "sqlglot.parser.Parser.check_errors": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 16}, "sqlglot.parser.Parser.raise_error": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 57, "bases": 0, "doc": 22}, "sqlglot.parser.Parser.expression": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 74}, "sqlglot.parser.Parser.validate_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 60, "bases": 0, "doc": 57}, "sqlglot.planner": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Plan.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 24, "bases": 0, "doc": 3}, "sqlglot.planner.Step": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.planner.Step.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Step.add_dependency": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.planner.Step.to_s": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.planner.Scan": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Scan.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.planner.Join": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Join.from_joins": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 96, "bases": 0, "doc": 3}, "sqlglot.planner.Aggregate": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.Sort": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 1, "doc": 3}, "sqlglot.planner.SetOperation.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 83, "bases": 0, "doc": 3}, "sqlglot.planner.SetOperation.from_expression": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 90, "bases": 0, "doc": 209}, "sqlglot.schema.Schema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 8}, "sqlglot.schema.Schema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 187, "bases": 0, "doc": 83}, "sqlglot.schema.Schema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 79}, "sqlglot.schema.Schema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 79}, "sqlglot.schema.Schema.supported_table_args": {"qualname": 4, "fullname": 6, "annotation": 3, "default_value": 0, "signature": 0, "bases": 0, "doc": 16}, "sqlglot.schema.Schema.empty": {"qualname": 2, "fullname": 4, "annotation": 2, "default_value": 0, "signature": 0, "bases": 0, "doc": 11}, "sqlglot.schema.AbstractMappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 2, "doc": 87}, "sqlglot.schema.AbstractMappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 27, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.find": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 88, "bases": 0, "doc": 3}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 75, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 6, "doc": 137}, "sqlglot.schema.MappingSchema.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 128, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.copy": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 31, "bases": 0, "doc": 3}, "sqlglot.schema.MappingSchema.add_table": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 187, "bases": 0, "doc": 83}, "sqlglot.schema.MappingSchema.column_names": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 143, "bases": 0, "doc": 79}, "sqlglot.schema.MappingSchema.get_column_type": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 79}, "sqlglot.schema.ensure_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 106, "bases": 0, "doc": 3}, "sqlglot.schema.ensure_column_mapping": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 70, "bases": 0, "doc": 3}, "sqlglot.schema.flatten_schema": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 69, "bases": 0, "doc": 3}, "sqlglot.schema.nested_get": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 71, "bases": 0, "doc": 86}, "sqlglot.schema.nested_set": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 45, "bases": 0, "doc": 276}, "sqlglot.serde": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.serde.dump": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 12}, "sqlglot.serde.load": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 149, "bases": 0, "doc": 16}, "sqlglot.time": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.time.format_time": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 73, "bases": 0, "doc": 108}, "sqlglot.tokens": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 3, "doc": 5}, "sqlglot.tokens.TokenType.L_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_PAREN": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACKET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.L_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.R_BRACE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLUS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DCOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMICOLON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BACKSLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SLASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEQ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DPIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CARET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TILDA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FARROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LR_ARROW": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LT_AT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AT_GT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOLLAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARAMETER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DAMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_START": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BLOCK_END": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SPACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BREAK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NUMBER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATABASE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SCHEMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIT_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HEX_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BYTE_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RAW_STRING": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BOOLEAN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TINYINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UTINYINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USMALLINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UBIGINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT128": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UINT128": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INT256": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UINT256": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FLOAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DOUBLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DECIMAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NVARCHAR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGTEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LONGBLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARBINARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JSONB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATETIME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATETIME64": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UUID": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULLABLE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GEOMETRY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HLLSKETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HSTORE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SUPER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BIGSERIAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.XML": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SMALLMONEY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWVERSION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IMAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VARIANT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OBJECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALIAS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALWAYS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ALL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANTI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ANY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.APPLY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ARRAY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ASOF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BEGIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.BETWEEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CASE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COLLATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMAND": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.COMMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CONSTRAINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CREATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CROSS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CUBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.CURRENT_USER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DEFAULT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DELETE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESC": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DESCRIBE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DISTINCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DIV": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.DROP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ELSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.END": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ESCAPE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXCEPT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXECUTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.EXISTS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FALSE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FETCH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FILTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FINAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FIRST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FORMAT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FROM": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.FUNCTION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOB": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GLOBAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUP_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HAVING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.HINT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IF": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INDEX": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INNER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INSERT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERSECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTERVAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTO": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.INTRODUCER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IRLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.IS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ISNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JOIN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.KEEP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LANGUAGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LATERAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LEFT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIKE_ANY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LIMIT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOAD": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.LOCK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MAP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MERGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.MOD": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NATURAL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEXT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 13, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NOTNULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.NULL": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OFFSET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ON": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDER_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDERED": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ORDINALITY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OUTER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVERLAPS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.OVERWRITE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PARTITION_BY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PERCENT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRAGMA": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROCEDURE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PROPERTIES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUALIFY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.QUOTE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RANGE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RECURSIVE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REPLACE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RETURNING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.REFERENCES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RIGHT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.RLIKE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLBACK": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROLLUP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.ROWS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SELECT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEMI": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SEPARATOR": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SET": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SETTINGS": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SHOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.SOME": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.STRUCT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 11, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TEMPORARY": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TOP": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.THEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.TRUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNCACHE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNION": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNNEST": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNPIVOT": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UPDATE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.USING": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VALUES": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VIEW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.VOLATILE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHEN": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WHERE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WINDOW": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.WITH": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.TokenType.UNIQUE": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 9, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Token.__init__": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 133, "bases": 0, "doc": 83}, "sqlglot.tokens.Token.number": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.string": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.identifier": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Token.var": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 14}, "sqlglot.tokens.Tokenizer": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.reset": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 14, "bases": 0, "doc": 3}, "sqlglot.tokens.Tokenizer.tokenize": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 16}, "sqlglot.transforms": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.transforms.unalias_group": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 146}, "sqlglot.transforms.eliminate_distinct_on": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 66}, "sqlglot.transforms.eliminate_qualify": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 111}, "sqlglot.transforms.remove_precision_parameterized_types": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 33}, "sqlglot.transforms.unnest_to_explode": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 16}, "sqlglot.transforms.explode_to_unnest": {"qualname": 3, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 12}, "sqlglot.transforms.remove_target_from_merge": {"qualname": 4, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 11}, "sqlglot.transforms.remove_within_group_for_percentiles": {"qualname": 5, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.transforms.add_recursive_cte_column_names": {"qualname": 5, "fullname": 7, "annotation": 0, "default_value": 0, "signature": 40, "bases": 0, "doc": 3}, "sqlglot.transforms.preprocess": {"qualname": 1, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 94, "bases": 0, "doc": 84}, "sqlglot.trie": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.trie.new_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 54, "bases": 0, "doc": 200}, "sqlglot.trie.in_trie": {"qualname": 2, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 47, "bases": 0, "doc": 299}}, "length": 1804, "save": true}, "index": {"qualname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 52, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}}, "df": 8}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 2}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 22}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 11, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 31}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 3}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 6}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}}, "df": 5}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 5}}}}}}}}, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 14, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 36, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}}, "df": 7}, "docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}}, "df": 5, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 275, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}}, "df": 10}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SettingsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}}, "df": 8, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 3}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StarMap": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.StabilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.StandardHash": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 9}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 10}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.should_identify": {"tf": 1}}, "df": 1}}}}, "a": {"2": {"docs": {"sqlglot.expressions.SHA2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.SHA": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 5}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 9, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}}, "df": 8}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}}, "df": 3}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 7}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}}, "df": 4}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 30, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}}, "df": 7}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 4}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 19, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 2, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 275}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.ToBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 8}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}}, "df": 10}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 2}}}}, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 5}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 70, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 3}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.CountIf": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 53, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 10}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}}, "df": 2}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.expressions.Expression.add_comments": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 12}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 15}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.generator.cached_generator": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 9, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CastToStrType": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 6, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 9}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 3}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 4}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.CurrentUser": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 33, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 5}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 71, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 3}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DAMP": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 7}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}}, "df": 11, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 22}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}}, "df": 6}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 5}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 9}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 25, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 7, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}}, "df": 1, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayOverlaps": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ArrayContained": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ArrayJoin": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 11, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}}, "df": 5}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 7}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}}, "df": 13, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}}, "df": 10}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}}, "df": 4}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 13, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.FromBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 3}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}}, "df": 308}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 8}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 15, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 4}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}}, "df": 2}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONFormat": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 12}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}}, "df": 2}}}}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 46, "s": {"docs": {"sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 4}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 9}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}, "s": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 2}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 5}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 6}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 8}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 4}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 9}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 4}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 3, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}, "w": {"docs": {"sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.RawString": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}}, "df": 2}}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 9}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 7, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.LogicalAnd": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}}, "df": 9}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 6}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Hll": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 3}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 5}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}}, "df": 6}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2}}, "d": {"5": {"docs": {"sqlglot.expressions.MD5": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 7}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 13}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 6}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 3}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 4, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 4}}}}, "q": {"docs": {"sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 4}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 2, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatileProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}}, "df": 3}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 8}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}}}, "fullname": {"root": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 52, "s": {"docs": {"sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 380, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.RawString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SettingsProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.StabilityProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatileProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Hll": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayContained": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.CastToStrType": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CountIf": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.CurrentUser": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.FromBase64": {"tf": 1}, "sqlglot.expressions.ToBase64": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONFormat": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.LogicalAnd": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.StarMap": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.MD5": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SHA": {"tf": 1}, "sqlglot.expressions.SHA2": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StandardHash": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 1804, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.4142135623730951}}, "df": 11}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SqlSecurityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Sqrt": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.empty": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}}, "df": 28, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.SchemaError": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SchemaCommentProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}}, "df": 5}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 44, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 7}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1.4142135623730951}}, "df": 8}, "docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1.4142135623730951}}, "df": 6, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 4}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Split": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SettingsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SetProperty": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.SetAgg": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.serde": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 4, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.SerdeProperties": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "p": {"docs": {"sqlglot.generator.Generator.sep": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}}, "df": 1}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.seg": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}}, "df": 8, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.SortArray": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}}, "df": 3}, "b": {"docs": {"sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}}, "df": 2}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 11}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}}, "df": 8, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.startswith": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 5}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StarMap": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.python.PythonExecutor.static": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.StabilityProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.StandardHash": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 3, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.StructExtract": {"tf": 1}}, "df": 1}}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 9}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToDate": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.StrToTime": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.StrToUnix": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.Stddev": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevPop": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.StddevSamp": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SafeDivide": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}}, "df": 11}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}}, "df": 3}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.should_identify": {"tf": 1}}, "df": 1}}}}, "a": {"2": {"docs": {"sqlglot.expressions.SHA2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.SHA": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}}, "df": 2}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 2}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 21}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.pretty": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1.4142135623730951}}, "df": 9}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 8}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}}, "df": 22}}}, "y": {"docs": {"sqlglot.expressions.Property": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}}, "df": 3}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 11, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.parser": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.reset": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}}, "df": 34}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 5, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}}, "df": 3}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}}, "df": 6, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.PercentileCont": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.PercentileDisc": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}}, "df": 6}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner": {"tf": 1}, "sqlglot.planner.Plan": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 16}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}}, "df": 6}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Posexplode": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 2}, "w": {"docs": {"sqlglot.expressions.Pow": {"tf": 1}}, "df": 1}}, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 21, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}}, "df": 17}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}}, "df": 10}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 3, "e": {"docs": {"sqlglot.parse_one": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.OnCommitProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}}, "df": 9, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}}, "df": 4, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.4142135623730951}}, "df": 9}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}}, "df": 3}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.OptimizeError": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.optimizer": {"tf": 1}, "sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.optimizer": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 128}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}}, "df": 7}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 8}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 5}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.transforms": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 11}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TransientProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 5}}, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 3}, "e": {"docs": {"sqlglot.trie": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 3}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.append": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.pop": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}}, "df": 40, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}}, "df": 8}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}}, "df": 4}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}}, "df": 2}}}}}}}, "g": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 19, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 2, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 21}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.TokenError": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}, "sqlglot.tokens.Token": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 285}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 275}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 2}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.ToBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.4142135623730951}}, "df": 10}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TsOrDsToDate": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.expressions.TsOrDiToDi": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1.4142135623730951}}, "df": 11}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}}, "df": 5}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.TemporaryProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}}, "df": 10, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}}, "df": 2}}}}, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimestampAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimestampSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimestampDiff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.TimeStrToDate": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeStrToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.TimeSub": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.TimeAdd": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.TimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.TimeTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeToTimeStr": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.TimeToUnix": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TitleColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}}, "df": 5}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}}, "df": 70, "s": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 6}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}}, "df": 3}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 111, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 5}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameReader": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}}, "df": 3}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 7}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}}, "df": 6}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}}, "df": 71, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DateSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}}, "df": 3}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.DateFromParts": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DatetimeAdd": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DatetimeSub": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.DatetimeDiff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DatetimeTrunc": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.DateTrunc": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DateToDateStr": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.expressions.DateToDi": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DateAdd": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {"sqlglot.expressions.Day": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.DayOfWeek": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DayOfMonth": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DayOfYear": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DAMP": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 7}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistKeyProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DistStyleProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}}, "df": 68, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 218}}}}}}, "v": {"docs": {"sqlglot.expressions.Div": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}}, "df": 15}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DiToDate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.drill": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}}, "df": 4, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}}, "df": 4}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DerivedTable": {"tf": 1}}, "df": 1}}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DefinerProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Decode": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.duckdb": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.4142135623730951}}, "df": 7}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}}, "df": 5}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}}, "df": 5, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 6}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}}, "df": 3}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.CountIf": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 53, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 14}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}}, "df": 2}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 2, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ColumnConstraintKind": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CollateColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CollateProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.expressions.Expression.add_comments": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CommentColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Command": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}}, "df": 3}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}}, "df": 4}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}}, "df": 4, "w": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.filter": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.sort": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_row": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_index": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}}, "df": 13}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 15}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.convert": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.generator.cached_generator": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}}, "df": 9, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CastToStrType": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}}, "df": 6, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}}, "df": 6}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}}, "df": 10}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 3}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 6, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentDatetime": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.CurrentTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.CurrentTimestamp": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.CurrentUser": {"tf": 1}}, "df": 1}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 3}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.CharacterSetProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Check": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.CheckColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.replace_children": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Ceil": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 35, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Initcap": {"tf": 1}}, "df": 1}}}}}, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}}, "df": 9}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}}, "df": 5}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}}, "df": 3}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}}, "df": 7, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}}, "df": 25, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.4142135623730951}}, "df": 2, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}}, "df": 7, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}}, "df": 7, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.IfNull": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 6}}}, "y": {"docs": {"sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}}, "df": 6}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 6, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AnyValue": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}}, "df": 6}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.4142135623730951}}, "df": 5}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}}, "df": 1, "c": {"docs": {"sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}}, "df": 4}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.ArrayAll": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ArrayAny": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayOverlaps": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArrayConcat": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.ArrayContains": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.ArrayContained": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.ArrayFilter": {"tf": 1}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.ArrayJoin": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ArraySize": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ArraySort": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.ArraySum": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ArrayUnionAgg": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 6}}}, "g": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 2}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 4}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ApproxDistinct": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 11, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AutoIncrementProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Abs": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}}, "df": 5}}}}}}}}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}}, "df": 7}}, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}}, "df": 13, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Window": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.WindowSpec": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}}, "df": 10}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.text_width": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.Week": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.WeekOfYear": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.wrap": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}}, "df": 6}}}, "l": {"docs": {"sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FileFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}}, "df": 4}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 7}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Final": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}}, "df": 10, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}}, "df": 6}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 4}}}}}, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Floor": {"tf": 1}}, "df": 1}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 13, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.FromBase64": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.false": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}}, "df": 3}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 6, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.GroupedData": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}}, "df": 10}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unsupported": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.column_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.create_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.clone_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.index_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.national_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.property_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.returning_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.update_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.var_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.into_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.from_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.group_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.having_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.set_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.null_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.star_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.union_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.where_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.window_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.between_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.all_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.any_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.case_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.check_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.if_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.return_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.not_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.add_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.and_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.command_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.comment_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.div_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.is_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.like_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.or_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.use_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.token_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.when_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.cached_generator": {"tf": 1.4142135623730951}}, "df": 309}}, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 5, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 8}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.expressions.GT": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}}, "df": 3}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 15, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 9}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}}, "df": 4, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.JSONBContains": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONBExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}}, "df": 2}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtract": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONFormat": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 4}}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToStr": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UnixToTime": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.UnixToTimeStr": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 2}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 14}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}}, "df": 3}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Unhex": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}}, "df": 7}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Upper": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Use": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}}, "df": 2}}}}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}}, "df": 8, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {"sqlglot.expressions.Exp": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 46, "s": {"docs": {"sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.RawString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SettingsProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.StabilityProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatileProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Hll": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayContained": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.CastToStrType": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.TryCast": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.ConcatWs": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CountIf": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.CurrentUser": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.FromBase64": {"tf": 1}, "sqlglot.expressions.ToBase64": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONFormat": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.LogicalAnd": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.StarMap": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.MD5": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.ApproxQuantile": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.SHA": {"tf": 1}, "sqlglot.expressions.SHA2": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StandardHash": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 632}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 7}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExternalProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.ExecuteAsProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.executor.python": {"tf": 1}, "sqlglot.executor.python.PythonExecutor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table": {"tf": 1}, "sqlglot.executor.table.Table": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.executor.table.TableIter": {"tf": 1}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 59}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Exists": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}}, "df": 3}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 9}}}}, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.endswith": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {"sqlglot.executor.env": {"tf": 1}, "sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 10}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Encode": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.EngineProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.errors": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 18}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 5}}}}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 3}}}, "q": {"docs": {"sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 5}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}}, "df": 3}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 10}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}}, "df": 9}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Repeat": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 9}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reduce": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Return": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}}, "df": 4}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1}}, "df": 9}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}}, "df": 2}}}}}, "f": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 5}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.expressions.ReadCSV": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpExtract": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpLike": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.RegexpILike": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.RegexpSplit": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RowReader": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatProperty": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.RowNumber": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}}, "df": 4}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Round": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}}, "df": 3, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.RangeReader": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}, "w": {"docs": {"sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.RawString": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}}, "df": 2}}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}}, "df": 9}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 1}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}}, "df": 7, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage": {"tf": 1}, "sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 8, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.LastDateOfMonth": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}}, "df": 4}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LanguageProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "w": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 9, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LocationProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "k": {"docs": {"sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 2}}}}}}, "g": {"1": {"0": {"docs": {"sqlglot.expressions.Log10": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.expressions.Log2": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.expressions.Log": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.LogProperty": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.LogicalOr": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.LogicalAnd": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.optimizer.lower_identities": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Length": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Levenshtein": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.LT": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.expressions.Ln": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.hive": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1.4142135623730951}}, "df": 10}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}}, "df": 6}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 21}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Hll": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 9, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}}, "df": 3}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 7}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.MaterializedProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "y": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}}, "df": 4, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}}, "df": 5}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}}, "df": 2}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Month": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.mysql": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.4142135623730951}}, "df": 7}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 2}}, "d": {"5": {"docs": {"sqlglot.expressions.MD5": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}}, "df": 7}}}}, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}}, "df": 14}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 2}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}}, "df": 6}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 1}}, "y": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}}, "df": 2, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}}, "df": 6}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 3}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}}, "df": 4}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.National": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}}, "df": 3}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 5, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}}, "df": 2}}}}}}, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 4, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NumberToStr": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}}, "df": 10, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.optimizer.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}}, "df": 8, "d": {"docs": {"sqlglot.optimizer.normalize.normalized": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}}, "df": 6, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 4}}}}, "q": {"docs": {"sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}}, "df": 4}, "g": {"docs": {"sqlglot.expressions.Neg": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 2, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.NextValueFor": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}}, "df": 2}}}}}}, "l": {"2": {"docs": {"sqlglot.expressions.Nvl2": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}}, "df": 2}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Variance": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.VarMap": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.VolatileProperty": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}}, "df": 3}}, "y": {"docs": {"sqlglot.executor.env.reverse_key": {"tf": 1}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}}, "df": 4}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 15}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Quantile": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.query_modifiers": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Year": {"tf": 1}}, "df": 1}}}}}}, "annotation": {"root": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 23, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 9}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}}, "df": 9}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 2}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 3}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 2}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 1}}}}}}}}}}}, "default_value": {"root": {"1": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}}, "df": 1}, "6": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 377, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}}, "df": 2}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 377, "e": {"docs": {"sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}}, "df": 8}}}}}, "k": {"docs": {"sqlglot.tokens.TokenType.LOCK": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.LOAD": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {"sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 1}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 6}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {"sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1.4142135623730951}}, "df": 6}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}}, "df": 2, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema": {"tf": 1}}, "df": 1}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {"sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}}, "df": 1}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 377, "e": {"docs": {"sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1}}, "df": 21}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "v": {"docs": {"sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"6": {"4": {"docs": {"sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DAMP": {"tf": 1.4142135623730951}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 1, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 370}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.XML": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.XML": {"tf": 1.4142135623730951}}, "df": 2}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "t": {"docs": {"sqlglot.expressions.DataType.Type.BIT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.4142135623730951}}, "df": 3}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BREAK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}}, "df": 2}}}}, "y": {"docs": {"sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BEGIN": {"tf": 1.4142135623730951}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.CROSS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.COMMA": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.COMMAND": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMENT": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.COMMIT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLON": {"tf": 1.4142135623730951}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.COLUMN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.4142135623730951}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.COLLATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CARET": {"tf": 1.4142135623730951}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CACHE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CASE": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.CUBE": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}}, "df": 5}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.4142135623730951}}, "df": 1}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.HINT": {"tf": 1.4142135623730951}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.tokens.TokenType.HASH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}}, "df": 2}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.HAVING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}}, "df": 7, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.4142135623730951}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}}, "df": 2}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.PARTITION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.PLUS": {"tf": 1.4142135623730951}}, "df": 1}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.PIPE": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.PERCENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.REPLACE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.RETURNING": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.4142135623730951}}, "df": 1}}}, "w": {"docs": {"sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1.4142135623730951}}, "df": 1}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RANGE": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.ROW": {"tf": 1.4142135623730951}}, "df": 1, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.ROWS": {"tf": 1.4142135623730951}}, "df": 1}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.RIGHT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.RLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.4142135623730951}}, "df": 3, "a": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.TRUE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.4142135623730951}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.4142135623730951}}, "df": 64}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.tokens.TokenType.TILDA": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.4142135623730951}}, "df": 1, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.L_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1}, "sqlglot.tokens.TokenType.DOT": {"tf": 1}, "sqlglot.tokens.TokenType.DASH": {"tf": 1}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1}, "sqlglot.tokens.TokenType.COLON": {"tf": 1}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1}, "sqlglot.tokens.TokenType.STAR": {"tf": 1}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1}, "sqlglot.tokens.TokenType.LT": {"tf": 1}, "sqlglot.tokens.TokenType.LTE": {"tf": 1}, "sqlglot.tokens.TokenType.GT": {"tf": 1}, "sqlglot.tokens.TokenType.GTE": {"tf": 1}, "sqlglot.tokens.TokenType.NOT": {"tf": 1}, "sqlglot.tokens.TokenType.EQ": {"tf": 1}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1}, "sqlglot.tokens.TokenType.AND": {"tf": 1}, "sqlglot.tokens.TokenType.OR": {"tf": 1}, "sqlglot.tokens.TokenType.AMP": {"tf": 1}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1}, "sqlglot.tokens.TokenType.CARET": {"tf": 1}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1}, "sqlglot.tokens.TokenType.HASH": {"tf": 1}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1}, "sqlglot.tokens.TokenType.STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1}, "sqlglot.tokens.TokenType.VAR": {"tf": 1}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1}, "sqlglot.tokens.TokenType.BIT": {"tf": 1}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT": {"tf": 1}, "sqlglot.tokens.TokenType.UINT": {"tf": 1}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1}, "sqlglot.tokens.TokenType.INT128": {"tf": 1}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1}, "sqlglot.tokens.TokenType.INT256": {"tf": 1}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1}, "sqlglot.tokens.TokenType.JSON": {"tf": 1}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1}, "sqlglot.tokens.TokenType.TIME": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1}, "sqlglot.tokens.TokenType.DATE": {"tf": 1}, "sqlglot.tokens.TokenType.UUID": {"tf": 1}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1}, "sqlglot.tokens.TokenType.XML": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1}, "sqlglot.tokens.TokenType.INET": {"tf": 1}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1}, "sqlglot.tokens.TokenType.ALL": {"tf": 1}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1}, "sqlglot.tokens.TokenType.ANY": {"tf": 1}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1}, "sqlglot.tokens.TokenType.ASC": {"tf": 1}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1}, "sqlglot.tokens.TokenType.CASE": {"tf": 1}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1}, "sqlglot.tokens.TokenType.DESC": {"tf": 1}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1}, "sqlglot.tokens.TokenType.DIV": {"tf": 1}, "sqlglot.tokens.TokenType.DROP": {"tf": 1}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1}, "sqlglot.tokens.TokenType.END": {"tf": 1}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1}, "sqlglot.tokens.TokenType.FOR": {"tf": 1}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1}, "sqlglot.tokens.TokenType.FROM": {"tf": 1}, "sqlglot.tokens.TokenType.FULL": {"tf": 1}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1}, "sqlglot.tokens.TokenType.HINT": {"tf": 1}, "sqlglot.tokens.TokenType.IF": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.IN": {"tf": 1}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1}, "sqlglot.tokens.TokenType.INNER": {"tf": 1}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1}, "sqlglot.tokens.TokenType.INTO": {"tf": 1}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.IS": {"tf": 1}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1}, "sqlglot.tokens.TokenType.MAP": {"tf": 1}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1}, "sqlglot.tokens.TokenType.MOD": {"tf": 1}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1}, "sqlglot.tokens.TokenType.NULL": {"tf": 1}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1}, "sqlglot.tokens.TokenType.ON": {"tf": 1}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1}, "sqlglot.tokens.TokenType.OVER": {"tf": 1}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1}, "sqlglot.tokens.TokenType.ROW": {"tf": 1}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1}, "sqlglot.tokens.TokenType.SET": {"tf": 1}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1}, "sqlglot.tokens.TokenType.SOME": {"tf": 1}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1}, "sqlglot.tokens.TokenType.TOP": {"tf": 1}, "sqlglot.tokens.TokenType.THEN": {"tf": 1}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1}, "sqlglot.tokens.TokenType.USE": {"tf": 1}, "sqlglot.tokens.TokenType.USING": {"tf": 1}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1}, "sqlglot.tokens.TokenType.WITH": {"tf": 1}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1}}, "df": 274}}}}}}}, "p": {"docs": {"sqlglot.tokens.TokenType.TOP": {"tf": 1.4142135623730951}}, "df": 1}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.THEN": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4}}}}}}}}}, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.EXISTS": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "q": {"docs": {"sqlglot.tokens.TokenType.EQ": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.END": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ELSE": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "n": {"docs": {"sqlglot.tokens.TokenType.IN": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.INET": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INET": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.INT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.INT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.INT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INT": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.tokens.TokenType.INTO": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.INNER": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.INSERT": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "f": {"docs": {"sqlglot.tokens.TokenType.IF": {"tf": 1.4142135623730951}}, "df": 1}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.ILIKE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.tokens.TokenType.IS": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.ISNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ErrorLevel.WARN": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.4142135623730951}}, "df": 2}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.WINDOW": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.WHEN": {"tf": 1.4142135623730951}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.WHERE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.4142135623730951}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NATURAL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.DataType.Type.NULL": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.4142135623730951}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.4142135623730951}}, "df": 2}}}}, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.NUMBER": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NOT": {"tf": 1.4142135623730951}}, "df": 1, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.tokens.TokenType.NEQ": {"tf": 1.4142135623730951}}, "df": 1}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.NEXT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.4142135623730951}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.ALTER": {"tf": 1.4142135623730951}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.tokens.TokenType.ALL": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.4142135623730951}}, "df": 2}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.tokens.TokenType.AND": {"tf": 1.4142135623730951}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.tokens.TokenType.ANTI": {"tf": 1.4142135623730951}}, "df": 1}}, "y": {"docs": {"sqlglot.tokens.TokenType.ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.4142135623730951}}, "df": 3}}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.AMP": {"tf": 1.4142135623730951}}, "df": 1}}, "t": {"docs": {"sqlglot.tokens.TokenType.LT_AT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.4142135623730951}}, "df": 2}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.APPLY": {"tf": 1.4142135623730951}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.tokens.TokenType.ASC": {"tf": 1.4142135623730951}}, "df": 1}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.tokens.TokenType.ASOF": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "k": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.4142135623730951}}, "df": 2}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNNEST": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"1": {"2": {"8": {"docs": {"sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"6": {"docs": {"sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.4142135623730951}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.expressions.DataType.Type.UINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.4142135623730951}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "e": {"docs": {"sqlglot.tokens.TokenType.USE": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {"sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.tokens.TokenType.USING": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.DataType.Type.UUID": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.4142135623730951}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.UPDATE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.DataType.Type.JSON": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.4142135623730951}}, "df": 2, "b": {"docs": {"sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.4142135623730951}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.tokens.TokenType.JOIN": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.4142135623730951}}, "df": 2}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.tokens.TokenType.VAR": {"tf": 1.4142135623730951}}, "df": 1, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.4142135623730951}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.tokens.TokenType.VALUES": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.tokens.TokenType.VIEW": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.4142135623730951}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.4142135623730951}}, "df": 2}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.tokens.TokenType.KEEP": {"tf": 1.4142135623730951}}, "df": 1}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.tokens.TokenType.QUOTE": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "signature": {"root": {"0": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 6, "x": {"7": {"docs": {}, "df": 0, "f": {"4": {"7": {"7": {"3": {"docs": {}, "df": 0, "a": {"6": {"4": {"3": {"docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "7": {"0": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "c": {"1": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}, "5": {"7": {"5": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "d": {"8": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "e": {"1": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "8": {"8": {"docs": {}, "df": 0, "d": {"3": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "9": {"2": {"docs": {}, "df": 0, "d": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "3": {"docs": {}, "df": 0, "f": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "6": {"3": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"docs": {}, "df": 0, "e": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "b": {"2": {"docs": {}, "df": 0, "e": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "3": {"7": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {}, "df": 0, "d": {"0": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}}, "9": {"docs": {}, "df": 0, "a": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "docs": {}, "df": 0, "b": {"9": {"docs": {}, "df": 0, "a": {"2": {"0": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "1": {"0": {"0": {"docs": {"sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"8": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"9": {"9": {"4": {"4": {"8": {"3": {"1": {"3": {"2": {"9": {"9": {"2": {"0": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"7": {"2": {"0": {"0": {"0": {"docs": {"sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"0": {"6": {"4": {"8": {"0": {"docs": {"sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"2": {"5": {"4": {"4": {"docs": {"sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"5": {"0": {"6": {"4": {"9": {"6": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"2": {"5": {"8": {"4": {"0": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"5": {"0": {"7": {"2": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"5": {"7": {"1": {"0": {"4": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"8": {"4": {"8": {"0": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"3": {"1": {"2": {"4": {"8": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"1": {"7": {"1": {"2": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "8": {"9": {"4": {"7": {"2": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"9": {"7": {"7": {"2": {"8": {"docs": {"sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"1": {"6": {"7": {"0": {"4": {"0": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"6": {"8": {"3": {"6": {"8": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"3": {"9": {"2": {"9": {"6": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"6": {"8": {"9": {"6": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"5": {"2": {"6": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"4": {"4": {"5": {"4": {"4": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"1": {"2": {"6": {"8": {"3": {"2": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"5": {"5": {"4": {"2": {"4": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"5": {"0": {"3": {"0": {"8": {"8": {"docs": {"sqlglot.dataframe.sql.Column.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"5": {"3": {"9": {"0": {"2": {"4": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"4": {"7": {"7": {"6": {"0": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"9": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 2}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 2}, "sqlglot.dataframe.sql.Column.between": {"tf": 2}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 2}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 2}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.national_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 2}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 2}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 43}, "docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}, "6": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}}, "df": 1}, "8": {"0": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot.parse": {"tf": 10.099504938362077}, "sqlglot.parse_one": {"tf": 12.727922061357855}, "sqlglot.transpile": {"tf": 14}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 6}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 12.806248474865697}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 14.2828568570857}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 6.4031242374328485}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 8.426149773176359}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 6.324555320336759}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 12.041594578792296}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 7.14142842854285}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 7.3484692283495345}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 10}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 13.19090595827292}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 5.0990195135927845}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 8.12403840463596}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 8}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 9.327379053088816}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 6}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 6.782329983125268}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 9.16515138991168}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 8.602325267042627}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 6.164414002968976}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 7.0710678118654755}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 7.54983443527075}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 8.831760866327848}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 9.797958971132712}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 8.54400374531753}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 8.246211251235321}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 6.48074069840786}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.Column.copy": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.alias": {"tf": 6}, "sqlglot.dataframe.sql.Column.asc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.when": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 6}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.Column.cast": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 8}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 6}, "sqlglot.dataframe.sql.Column.like": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.Column.substr": {"tf": 9.9498743710662}, "sqlglot.dataframe.sql.Column.isin": {"tf": 7.937253933193772}, "sqlglot.dataframe.sql.Column.between": {"tf": 8.660254037844387}, "sqlglot.dataframe.sql.Column.over": {"tf": 7.211102550927978}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 10.677078252031311}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 10.908712114635714}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 12.083045973594572}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 5.744562646538029}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 4.242640687119285}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 9}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 6.6332495807108}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 5.291502622129181}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 6}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 10}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 5.830951894845301}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 4.795831523312719}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 6.557438524302}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 7.615773105863909}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 7.745966692414834}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 5.744562646538029}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 9.273618495495704}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 7.615773105863909}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 10.099504938362077}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 5.5677643628300215}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 5.744562646538029}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 5.0990195135927845}, "sqlglot.dialects.dialect.rename_func": {"tf": 6.928203230275509}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.if_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 8.48528137423857}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 8.660254037844387}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 8}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 6.164414002968976}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 6.164414002968976}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 4.898979485566356}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.min_or_least": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.trim_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 6.48074069840786}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 4}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 9.539392014169456}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 8}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 5.744562646538029}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 6.6332495807108}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 7.416198487095663}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 5.291502622129181}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 5.291502622129181}, "sqlglot.diff.Insert.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Remove.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Move.__init__": {"tf": 4.47213595499958}, "sqlglot.diff.Update.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.Keep.__init__": {"tf": 6.164414002968976}, "sqlglot.diff.diff": {"tf": 12.96148139681572}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 5.656854249492381}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 12.727922061357855}, "sqlglot.errors.ParseError.__init__": {"tf": 6.48074069840786}, "sqlglot.errors.ParseError.new": {"tf": 13.038404810405298}, "sqlglot.errors.concat_messages": {"tf": 5.385164807134504}, "sqlglot.errors.merge_errors": {"tf": 6.48074069840786}, "sqlglot.executor.execute": {"tf": 12.727922061357855}, "sqlglot.executor.context.Context.__init__": {"tf": 7.416198487095663}, "sqlglot.executor.context.Context.eval": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.context.Context.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.context.Context.table_iter": {"tf": 7.681145747868608}, "sqlglot.executor.context.Context.filter": {"tf": 4}, "sqlglot.executor.context.Context.sort": {"tf": 4}, "sqlglot.executor.context.Context.set_row": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_index": {"tf": 4.47213595499958}, "sqlglot.executor.context.Context.set_range": {"tf": 5.291502622129181}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.env.filter_nulls": {"tf": 4.242640687119285}, "sqlglot.executor.env.null_if_any": {"tf": 3.4641016151377544}, "sqlglot.executor.env.str_position": {"tf": 4.69041575982343}, "sqlglot.executor.env.substring": {"tf": 5.0990195135927845}, "sqlglot.executor.env.cast": {"tf": 3.7416573867739413}, "sqlglot.executor.env.ordered": {"tf": 4.242640687119285}, "sqlglot.executor.env.interval": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 4.47213595499958}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 3.1622776601683795}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 3.7416573867739413}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 4.795831523312719}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 4.69041575982343}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 4.242640687119285}, "sqlglot.executor.table.Table.__init__": {"tf": 4.898979485566356}, "sqlglot.executor.table.Table.add_columns": {"tf": 4.69041575982343}, "sqlglot.executor.table.Table.append": {"tf": 3.7416573867739413}, "sqlglot.executor.table.Table.pop": {"tf": 3.1622776601683795}, "sqlglot.executor.table.TableIter.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 2.8284271247461903}, "sqlglot.executor.table.RowReader.__init__": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 5.744562646538029}, "sqlglot.expressions.Expression.__init__": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.text": {"tf": 4}, "sqlglot.expressions.Expression.copy": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.add_comments": {"tf": 5.291502622129181}, "sqlglot.expressions.Expression.append": {"tf": 5.291502622129181}, "sqlglot.expressions.Expression.set": {"tf": 5.291502622129181}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 5.744562646538029}, "sqlglot.expressions.Expression.find": {"tf": 7.0710678118654755}, "sqlglot.expressions.Expression.find_all": {"tf": 7.0710678118654755}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 6}, "sqlglot.expressions.Expression.root": {"tf": 4.47213595499958}, "sqlglot.expressions.Expression.walk": {"tf": 5.0990195135927845}, "sqlglot.expressions.Expression.dfs": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.bfs": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.flatten": {"tf": 4.242640687119285}, "sqlglot.expressions.Expression.sql": {"tf": 9.055385138137417}, "sqlglot.expressions.Expression.transform": {"tf": 5.830951894845301}, "sqlglot.expressions.Expression.replace": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.pop": {"tf": 4.47213595499958}, "sqlglot.expressions.Expression.assert_is": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.error_messages": {"tf": 6}, "sqlglot.expressions.Expression.dump": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.load": {"tf": 3.7416573867739413}, "sqlglot.expressions.Condition.and_": {"tf": 11.789826122551595}, "sqlglot.expressions.Condition.or_": {"tf": 11.789826122551595}, "sqlglot.expressions.Condition.not_": {"tf": 4.898979485566356}, "sqlglot.expressions.Condition.as_": {"tf": 12.12435565298214}, "sqlglot.expressions.Condition.isin": {"tf": 9.591663046625438}, "sqlglot.expressions.Condition.between": {"tf": 7.810249675906654}, "sqlglot.expressions.Condition.is_": {"tf": 6.928203230275509}, "sqlglot.expressions.Condition.like": {"tf": 6.928203230275509}, "sqlglot.expressions.Condition.ilike": {"tf": 6.928203230275509}, "sqlglot.expressions.Condition.eq": {"tf": 5.291502622129181}, "sqlglot.expressions.Condition.neq": {"tf": 5.291502622129181}, "sqlglot.expressions.Condition.rlike": {"tf": 6.928203230275509}, "sqlglot.expressions.Unionable.union": {"tf": 11.489125293076057}, "sqlglot.expressions.Unionable.intersect": {"tf": 11.489125293076057}, "sqlglot.expressions.Unionable.except_": {"tf": 11.489125293076057}, "sqlglot.expressions.Column.to_dot": {"tf": 4.47213595499958}, "sqlglot.expressions.Delete.delete": {"tf": 11.489125293076057}, "sqlglot.expressions.Delete.where": {"tf": 12.409673645990857}, "sqlglot.expressions.Delete.returning": {"tf": 11.489125293076057}, "sqlglot.expressions.Insert.with_": {"tf": 13.96424004376894}, "sqlglot.expressions.Literal.number": {"tf": 4.898979485566356}, "sqlglot.expressions.Literal.string": {"tf": 4.898979485566356}, "sqlglot.expressions.Join.on": {"tf": 12.409673645990857}, "sqlglot.expressions.Join.using": {"tf": 12.409673645990857}, "sqlglot.expressions.Properties.from_dict": {"tf": 5.291502622129181}, "sqlglot.expressions.Tuple.isin": {"tf": 9.591663046625438}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 8.602325267042627}, "sqlglot.expressions.Subqueryable.limit": {"tf": 11.704699910719626}, "sqlglot.expressions.Subqueryable.with_": {"tf": 13.96424004376894}, "sqlglot.expressions.Union.limit": {"tf": 11.704699910719626}, "sqlglot.expressions.Union.select": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.from_": {"tf": 11.489125293076057}, "sqlglot.expressions.Select.group_by": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.order_by": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.sort_by": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.cluster_by": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.limit": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.offset": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.select": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.lateral": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.join": {"tf": 17.46424919657298}, "sqlglot.expressions.Select.where": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.having": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.window": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.qualify": {"tf": 12.409673645990857}, "sqlglot.expressions.Select.distinct": {"tf": 9.219544457292887}, "sqlglot.expressions.Select.ctas": {"tf": 12.328828005937952}, "sqlglot.expressions.Select.lock": {"tf": 7.14142842854285}, "sqlglot.expressions.Subquery.unnest": {"tf": 3.1622776601683795}, "sqlglot.expressions.DataType.build": {"tf": 11.357816691600547}, "sqlglot.expressions.DataType.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.Dot.build": {"tf": 6.557438524302}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.from_arg_list": {"tf": 3.7416573867739413}, "sqlglot.expressions.Func.sql_names": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.sql_name": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 3.1622776601683795}, "sqlglot.expressions.Case.when": {"tf": 9.848857801796104}, "sqlglot.expressions.Case.else_": {"tf": 8.366600265340756}, "sqlglot.expressions.Cast.is_type": {"tf": 5.656854249492381}, "sqlglot.expressions.maybe_parse": {"tf": 14.866068747318506}, "sqlglot.expressions.union": {"tf": 12.409673645990857}, "sqlglot.expressions.intersect": {"tf": 12.409673645990857}, "sqlglot.expressions.except_": {"tf": 12.409673645990857}, "sqlglot.expressions.select": {"tf": 10.677078252031311}, "sqlglot.expressions.from_": {"tf": 10.583005244258363}, "sqlglot.expressions.update": {"tf": 13.892443989449804}, "sqlglot.expressions.delete": {"tf": 13.711309200802088}, "sqlglot.expressions.insert": {"tf": 14.594519519326424}, "sqlglot.expressions.condition": {"tf": 11.269427669584644}, "sqlglot.expressions.and_": {"tf": 11.575836902790225}, "sqlglot.expressions.or_": {"tf": 11.575836902790225}, "sqlglot.expressions.not_": {"tf": 11.269427669584644}, "sqlglot.expressions.paren": {"tf": 7.615773105863909}, "sqlglot.expressions.to_identifier": {"tf": 5.0990195135927845}, "sqlglot.expressions.to_interval": {"tf": 6.164414002968976}, "sqlglot.expressions.to_table": {"tf": 11.045361017187261}, "sqlglot.expressions.to_column": {"tf": 6.708203932499369}, "sqlglot.expressions.alias_": {"tf": 14.142135623730951}, "sqlglot.expressions.subquery": {"tf": 12.24744871391589}, "sqlglot.expressions.column": {"tf": 13.114877048604}, "sqlglot.expressions.cast": {"tf": 9.433981132056603}, "sqlglot.expressions.table_": {"tf": 13.114877048604}, "sqlglot.expressions.values": {"tf": 10.44030650891055}, "sqlglot.expressions.var": {"tf": 6.928203230275509}, "sqlglot.expressions.rename_table": {"tf": 7.745966692414834}, "sqlglot.expressions.convert": {"tf": 6.164414002968976}, "sqlglot.expressions.replace_children": {"tf": 6.928203230275509}, "sqlglot.expressions.column_table_names": {"tf": 5.385164807134504}, "sqlglot.expressions.table_name": {"tf": 5.385164807134504}, "sqlglot.expressions.replace_tables": {"tf": 6.164414002968976}, "sqlglot.expressions.replace_placeholders": {"tf": 6.855654600401044}, "sqlglot.expressions.expand": {"tf": 8.660254037844387}, "sqlglot.expressions.func": {"tf": 10.04987562112089}, "sqlglot.expressions.true": {"tf": 4.123105625617661}, "sqlglot.expressions.false": {"tf": 4.123105625617661}, "sqlglot.expressions.null": {"tf": 4.123105625617661}, "sqlglot.generator.Generator.__init__": {"tf": 17.26267650163207}, "sqlglot.generator.Generator.generate": {"tf": 7.937253933193772}, "sqlglot.generator.Generator.unsupported": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.sep": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.seg": {"tf": 6}, "sqlglot.generator.Generator.pad_comment": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.maybe_comment": {"tf": 8.54400374531753}, "sqlglot.generator.Generator.wrap": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.no_identify": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.normalize_func": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.indent": {"tf": 9.327379053088816}, "sqlglot.generator.Generator.sql": {"tf": 8.94427190999916}, "sqlglot.generator.Generator.uncache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cache_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.characterset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.column_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.columndef_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 5.477225575051661}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.create_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.clone_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.describe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 6}, "sqlglot.generator.Generator.with_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datatype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.directory_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.delete_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.drop_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.except_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fetch_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.filter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.hint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.index_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.identifier_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.national_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.partition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.root_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.properties": {"tf": 9.797958971132712}, "sqlglot.generator.Generator.with_properties": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.locate_properties": {"tf": 7.937253933193772}, "sqlglot.generator.Generator.property_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.insert_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intersect_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.introducer_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.returning_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.table_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 7.615773105863909}, "sqlglot.generator.Generator.pivot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tuple_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.update_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.values_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.var_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.into_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.from_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.group_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.having_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.join_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lambda_sql": {"tf": 6.855654600401044}, "sqlglot.generator.Generator.lateral_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.limit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.offset_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.setitem_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.set_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.pragma_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lock_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.literal_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.null_sql": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.boolean_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.order_sql": {"tf": 6.48074069840786}, "sqlglot.generator.Generator.cluster_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distribute_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sort_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ordered_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.query_modifiers": {"tf": 6.164414002968976}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.select_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.schema_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.star_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.parameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.subquery_sql": {"tf": 6.6332495807108}, "sqlglot.generator.Generator.qualify_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.union_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unnest_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.where_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.window_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 6.557438524302}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.between_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bracket_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.all_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.any_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.exists_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.case_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.constraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.extract_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trim_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.concat_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.check_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.unique_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.if_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.openjson_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.interval_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.return_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.reference_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.paren_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.not_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.alias_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.aliases_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.add_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.and_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.connector_sql": {"tf": 6}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.cast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.collate_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.command_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.comment_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.transaction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.commit_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.rollback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.renametable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.altertable_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distinct_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.div_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.distance_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.dot_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.eq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.escape_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.glob_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.gte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ilike_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.is_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.like_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.likeany_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.similarto_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lt_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.lte_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mod_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.mul_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.neq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.or_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.slice_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.sub_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.trycast_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.use_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.binary": {"tf": 6}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.func": {"tf": 7.483314773547883}, "sqlglot.generator.Generator.format_args": {"tf": 6.708203932499369}, "sqlglot.generator.Generator.text_width": {"tf": 4.47213595499958}, "sqlglot.generator.Generator.format_time": {"tf": 5.744562646538029}, "sqlglot.generator.Generator.expressions": {"tf": 12.165525060596439}, "sqlglot.generator.Generator.op_expressions": {"tf": 7.3484692283495345}, "sqlglot.generator.Generator.naked_property": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.set_operation": {"tf": 6}, "sqlglot.generator.Generator.tag_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.token_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.when_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.merge_sql": {"tf": 5.291502622129181}, "sqlglot.generator.Generator.tochar_sql": {"tf": 5.291502622129181}, "sqlglot.generator.cached_generator": {"tf": 7.3484692283495345}, "sqlglot.helper.seq_get": {"tf": 6.164414002968976}, "sqlglot.helper.ensure_list": {"tf": 3.1622776601683795}, "sqlglot.helper.ensure_collection": {"tf": 3.1622776601683795}, "sqlglot.helper.csv": {"tf": 5.830951894845301}, "sqlglot.helper.subclasses": {"tf": 9.38083151964686}, "sqlglot.helper.apply_index_offset": {"tf": 7.937253933193772}, "sqlglot.helper.camel_to_snake_case": {"tf": 4}, "sqlglot.helper.while_changing": {"tf": 7.483314773547883}, "sqlglot.helper.tsort": {"tf": 6.324555320336759}, "sqlglot.helper.open_file": {"tf": 3.872983346207417}, "sqlglot.helper.csv_reader": {"tf": 4.898979485566356}, "sqlglot.helper.find_new_name": {"tf": 5.385164807134504}, "sqlglot.helper.object_to_dict": {"tf": 4.69041575982343}, "sqlglot.helper.split_num_words": {"tf": 7.615773105863909}, "sqlglot.helper.is_iterable": {"tf": 4}, "sqlglot.helper.flatten": {"tf": 6.082762530298219}, "sqlglot.helper.dict_depth": {"tf": 4}, "sqlglot.helper.first": {"tf": 5}, "sqlglot.helper.should_identify": {"tf": 5.385164807134504}, "sqlglot.lineage.Node.__init__": {"tf": 9.899494936611665}, "sqlglot.lineage.Node.walk": {"tf": 5}, "sqlglot.lineage.Node.to_html": {"tf": 5.0990195135927845}, "sqlglot.lineage.lineage": {"tf": 16.522711641858304}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 10.44030650891055}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 5.830951894845301}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 5.291502622129181}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 3.7416573867739413}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 7.0710678118654755}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 5.656854249492381}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 5.744562646538029}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 5.744562646538029}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 4.242640687119285}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3.1622776601683795}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 4.242640687119285}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalize": {"tf": 7.280109889280518}, "sqlglot.optimizer.normalize.normalized": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 4.242640687119285}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 4.69041575982343}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 3.1622776601683795}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 3.7416573867739413}, "sqlglot.optimizer.optimizer.optimize": {"tf": 22.02271554554524}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.1622776601683795}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 4.242640687119285}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 3.7416573867739413}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 5.0990195135927845}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 9.486832980505138}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 3.1622776601683795}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 5.0990195135927845}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 5.744562646538029}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 4.69041575982343}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 5.830951894845301}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 8.06225774829855}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.find": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 3.7416573867739413}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 6.48074069840786}, "sqlglot.optimizer.scope.build_scope": {"tf": 6.48074069840786}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 5.744562646538029}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.flatten": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 4.69041575982343}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.always_true": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.is_complement": {"tf": 3.7416573867739413}, "sqlglot.optimizer.simplify.is_false": {"tf": 4.898979485566356}, "sqlglot.optimizer.simplify.is_null": {"tf": 4.898979485566356}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 4.242640687119285}, "sqlglot.optimizer.simplify.extract_date": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.date_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.1622776601683795}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 4.69041575982343}, "sqlglot.parser.parse_var_map": {"tf": 4.898979485566356}, "sqlglot.parser.parse_like": {"tf": 4.898979485566356}, "sqlglot.parser.binary_range_parser": {"tf": 8.660254037844387}, "sqlglot.parser.Parser.__init__": {"tf": 11.269427669584644}, "sqlglot.parser.Parser.reset": {"tf": 3.1622776601683795}, "sqlglot.parser.Parser.parse": {"tf": 8.426149773176359}, "sqlglot.parser.Parser.parse_into": {"tf": 11.313708498984761}, "sqlglot.parser.Parser.check_errors": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser.raise_error": {"tf": 6.855654600401044}, "sqlglot.parser.Parser.expression": {"tf": 7.810249675906654}, "sqlglot.parser.Parser.validate_expression": {"tf": 7.0710678118654755}, "sqlglot.planner.Plan.__init__": {"tf": 4.47213595499958}, "sqlglot.planner.Step.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Step.add_dependency": {"tf": 5.291502622129181}, "sqlglot.planner.Step.to_s": {"tf": 5.0990195135927845}, "sqlglot.planner.Scan.from_expression": {"tf": 8.602325267042627}, "sqlglot.planner.Join.from_joins": {"tf": 8.888194417315589}, "sqlglot.planner.SetOperation.__init__": {"tf": 8.306623862918075}, "sqlglot.planner.SetOperation.from_expression": {"tf": 8.602325267042627}, "sqlglot.schema.Schema.add_table": {"tf": 12.36931687685298}, "sqlglot.schema.Schema.column_names": {"tf": 10.816653826391969}, "sqlglot.schema.Schema.get_column_type": {"tf": 11.045361017187261}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 4.795831523312719}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 5.744562646538029}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 8.48528137423857}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 7.810249675906654}, "sqlglot.schema.MappingSchema.__init__": {"tf": 10.295630140987}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 6.164414002968976}, "sqlglot.schema.MappingSchema.copy": {"tf": 5.0990195135927845}, "sqlglot.schema.MappingSchema.add_table": {"tf": 12.36931687685298}, "sqlglot.schema.MappingSchema.column_names": {"tf": 10.816653826391969}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 11.045361017187261}, "sqlglot.schema.ensure_schema": {"tf": 9.327379053088816}, "sqlglot.schema.ensure_column_mapping": {"tf": 7.615773105863909}, "sqlglot.schema.flatten_schema": {"tf": 7.54983443527075}, "sqlglot.schema.nested_get": {"tf": 7.615773105863909}, "sqlglot.schema.nested_set": {"tf": 6.082762530298219}, "sqlglot.serde.dump": {"tf": 11.045361017187261}, "sqlglot.serde.load": {"tf": 11.045361017187261}, "sqlglot.time.format_time": {"tf": 7.810249675906654}, "sqlglot.tokens.Token.__init__": {"tf": 10.535653752852738}, "sqlglot.tokens.Token.number": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.string": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.identifier": {"tf": 5.291502622129181}, "sqlglot.tokens.Token.var": {"tf": 5.291502622129181}, "sqlglot.tokens.Tokenizer.reset": {"tf": 3.4641016151377544}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 5.744562646538029}, "sqlglot.transforms.unalias_group": {"tf": 5.744562646538029}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.744562646538029}, "sqlglot.transforms.eliminate_qualify": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 5.744562646538029}, "sqlglot.transforms.unnest_to_explode": {"tf": 5.744562646538029}, "sqlglot.transforms.explode_to_unnest": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_target_from_merge": {"tf": 5.744562646538029}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 5.744562646538029}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 5.744562646538029}, "sqlglot.transforms.preprocess": {"tf": 8.774964387392123}, "sqlglot.trie.new_trie": {"tf": 6.708203932499369}, "sqlglot.trie.in_trie": {"tf": 6.244997998398398}}, "df": 773, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 108, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1.7320508075688772}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 3}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 3}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 2.23606797749979}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.as_": {"tf": 2}, "sqlglot.expressions.Condition.isin": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.like": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.ilike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 2}, "sqlglot.expressions.Delete.where": {"tf": 2}, "sqlglot.expressions.Delete.returning": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.limit": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.where": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.window": {"tf": 2}, "sqlglot.expressions.Select.qualify": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 2}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.when": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.else_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.449489742783178}, "sqlglot.expressions.delete": {"tf": 2.449489742783178}, "sqlglot.expressions.insert": {"tf": 2.449489742783178}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 2}, "sqlglot.expressions.or_": {"tf": 2}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 2}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 2.23606797749979}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 2.23606797749979}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 2}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.add_table": {"tf": 2}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1.4142135623730951}, "sqlglot.transforms.explode_to_unnest": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.4142135623730951}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 2}}, "df": 573}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 2}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 2}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 2.449489742783178}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.when": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.no_identify": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 2}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 2}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 505, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}}, "df": 2}}}}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 3}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}}, "df": 4}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.star_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 10, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 12}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.eval": {"tf": 1}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}, "sqlglot.executor.table.Table.pop": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.null_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.reset": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 543}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.4142135623730951}}, "df": 25, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 17}}}}}}, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.4142135623730951}}, "df": 2}}, "p": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.sep": {"tf": 1}, "sqlglot.generator.Generator.seg": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 13}, "t": {"docs": {"sqlglot.generator.Generator.set_sql": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.generator.Generator.setitem_sql": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 17}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}}, "df": 9, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}}, "df": 1}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.sub_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 7}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}}, "df": 1}}}, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.sort_sql": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.generator.Generator.similarto_sql": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.slice_sql": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 5, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.Column.rlike": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Condition.rlike": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.return_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}}, "df": 2}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 4, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.reference_sql": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.renametable_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}}, "df": 2, "n": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.rawstring_sql": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.table.Table.append": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Table.__init__": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.rollback_sql": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}}, "df": 6}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 127, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}}, "df": 2}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.unique_sql": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 7}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.uncache_sql": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.generator.Generator.use_sql": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}, "d": {"docs": {"sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2}, "sqlglot.transpile": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 2.6457513110645907}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 2.23606797749979}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.expressions.Expression.sql": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.as_": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.union": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.where": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.returning": {"tf": 2.23606797749979}, "sqlglot.expressions.Insert.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.on": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.group_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.offset": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.having": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.window": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.qualify": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.DataType.build": {"tf": 2.23606797749979}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.insert": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 2.23606797749979}, "sqlglot.expressions.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.not_": {"tf": 2.23606797749979}, "sqlglot.expressions.to_table": {"tf": 2.23606797749979}, "sqlglot.expressions.alias_": {"tf": 2.23606797749979}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 2.23606797749979}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.column_names": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.__init__": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.column_names": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.23606797749979}, "sqlglot.schema.ensure_schema": {"tf": 2.23606797749979}}, "df": 70, "s": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.ensure_schema": {"tf": 1.4142135623730951}}, "df": 67}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 45}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 9}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distribute_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 3}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2.23606797749979}}, "df": 2}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.directory_sql": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {"sqlglot.generator.Generator.div_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 89, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 14, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}}, "df": 1}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "e": {"docs": {"sqlglot.optimizer.simplify.date_literal": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}}, "df": 2}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}}, "df": 5}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.planner.Step.add_dependency": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}}, "df": 3}, "w": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}}, "df": 3}}}}, "b": {"docs": {"sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 4}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.drop_sql": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.droppartition_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.dpipe_sql": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}}, "df": 4}}}, "t": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.helper.first": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}}, "df": 5, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 89, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 11}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 81}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}}, "df": 3}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 27, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 10, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.tablealias_sql": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.Update.__init__": {"tf": 1}, "sqlglot.diff.Keep.__init__": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 4}}}}, "g": {"docs": {"sqlglot.generator.Generator.tag_sql": {"tf": 1}}, "df": 1}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 15}}}}, "h": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.executor.env.interval": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 6}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Case.when": {"tf": 1}}, "df": 1}}}, "o": {"docs": {"sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.executor.env.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 6, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 11, "s": {"docs": {"sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 11}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.token_sql": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.tochar_sql": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {"sqlglot.generator.Generator.national_sql": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.executor.context.Context.set_row": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.executor.env.str_position": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 4.242640687119285}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 2}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 149, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}}, "df": 92}}}}}}, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}}, "df": 2, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}}, "df": 8}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.normalize_func": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}}, "df": 26}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.national_sql": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 4}, "q": {"docs": {"sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}}, "df": 2}, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {"sqlglot.generator.Generator.neg_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}}, "df": 2}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {"sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 64}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.table.ensure_tables": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.4142135623730951}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 76}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "r": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.openjson_sql": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.like": {"tf": 1}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}}, "df": 17}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.expressions.Select.distinct": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.onconflict_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.overlaps_sql": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 6}}}}}, "b": {"docs": {}, "df": 0, "j": {"docs": {"sqlglot.executor.env.reverse_key.__init__": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "r": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.ordered_sql": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 72}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}, "sqlglot.lineage.Node.to_html": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 5, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.lineage.Node.to_html": {"tf": 1}}, "df": 1}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.likeany_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}}, "df": 4}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.limit_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.planner.Step.to_s": {"tf": 1}}, "df": 5}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.Column.substr": {"tf": 1}, "sqlglot.executor.env.substring": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}}, "df": 4}}}, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 26, "e": {"docs": {"sqlglot.generator.Generator.lte_sql": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.expressions.Condition.between": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Column.between": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}}, "df": 1}}}}}, "k": {"docs": {"sqlglot.generator.Generator.lock_sql": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.loaddata_sql": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}}, "df": 12, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot.parser.binary_range_parser": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 2}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.expressions.Condition.like": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1.4142135623730951}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.wrap": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1}, "sqlglot.optimizer.simplify.always_true": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Plan.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 1.7320508075688772}, "sqlglot.transforms.explode_to_unnest": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.7320508075688772}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 463, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}, "sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1}, "sqlglot.diff.Insert.__init__": {"tf": 1}, "sqlglot.diff.Remove.__init__": {"tf": 1}, "sqlglot.diff.Move.__init__": {"tf": 1}, "sqlglot.diff.Update.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Condition.is_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.like": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.ilike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Condition.rlike": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.using": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.window": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.qualify": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.when": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.else_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 2.23606797749979}, "sqlglot.expressions.cast": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 2.23606797749979}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.rename_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.generator.Generator.wrap": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}, "sqlglot.generator.Generator.clone_sql": {"tf": 1}, "sqlglot.generator.Generator.describe_sql": {"tf": 1}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1}, "sqlglot.generator.Generator.directory_sql": {"tf": 1}, "sqlglot.generator.Generator.delete_sql": {"tf": 1}, "sqlglot.generator.Generator.drop_sql": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1}, "sqlglot.generator.Generator.filter_sql": {"tf": 1}, "sqlglot.generator.Generator.hint_sql": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_sql": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.with_properties": {"tf": 1}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1}, "sqlglot.generator.Generator.returning_sql": {"tf": 1}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1}, "sqlglot.generator.Generator.update_sql": {"tf": 1}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}, "sqlglot.generator.Generator.having_sql": {"tf": 1}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1}, "sqlglot.generator.Generator.limit_sql": {"tf": 1}, "sqlglot.generator.Generator.offset_sql": {"tf": 1}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1}, "sqlglot.generator.Generator.set_sql": {"tf": 1}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1}, "sqlglot.generator.Generator.lock_sql": {"tf": 1}, "sqlglot.generator.Generator.literal_sql": {"tf": 1}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1}, "sqlglot.generator.Generator.sort_sql": {"tf": 1}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1}, "sqlglot.generator.Generator.select_sql": {"tf": 1}, "sqlglot.generator.Generator.schema_sql": {"tf": 1}, "sqlglot.generator.Generator.star_sql": {"tf": 1}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.generator.Generator.union_sql": {"tf": 1}, "sqlglot.generator.Generator.union_op": {"tf": 1}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1}, "sqlglot.generator.Generator.all_sql": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.generator.Generator.exists_sql": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1}, "sqlglot.generator.Generator.extract_sql": {"tf": 1}, "sqlglot.generator.Generator.trim_sql": {"tf": 1}, "sqlglot.generator.Generator.concat_sql": {"tf": 1}, "sqlglot.generator.Generator.check_sql": {"tf": 1}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}, "sqlglot.generator.Generator.unique_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.generator.Generator.return_sql": {"tf": 1}, "sqlglot.generator.Generator.reference_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}, "sqlglot.generator.Generator.neg_sql": {"tf": 1}, "sqlglot.generator.Generator.not_sql": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1}, "sqlglot.generator.Generator.add_sql": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}, "sqlglot.generator.Generator.connector_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}, "sqlglot.generator.Generator.collate_sql": {"tf": 1}, "sqlglot.generator.Generator.command_sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1}, "sqlglot.generator.Generator.commit_sql": {"tf": 1}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1}, "sqlglot.generator.Generator.div_sql": {"tf": 1}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1}, "sqlglot.generator.Generator.distance_sql": {"tf": 1}, "sqlglot.generator.Generator.dot_sql": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}, "sqlglot.generator.Generator.glob_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.generator.Generator.gte_sql": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}, "sqlglot.generator.Generator.like_sql": {"tf": 1}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1}, "sqlglot.generator.Generator.lt_sql": {"tf": 1}, "sqlglot.generator.Generator.lte_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mul_sql": {"tf": 1}, "sqlglot.generator.Generator.neq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1}, "sqlglot.generator.Generator.or_sql": {"tf": 1}, "sqlglot.generator.Generator.slice_sql": {"tf": 1}, "sqlglot.generator.Generator.sub_sql": {"tf": 1}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1}, "sqlglot.generator.Generator.use_sql": {"tf": 1}, "sqlglot.generator.Generator.binary": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.format_time": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}, "sqlglot.generator.Generator.set_operation": {"tf": 1}, "sqlglot.generator.Generator.tag_sql": {"tf": 1}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1}, "sqlglot.generator.Generator.when_sql": {"tf": 1}, "sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Plan.__init__": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1.4142135623730951}, "sqlglot.transforms.explode_to_unnest": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.4142135623730951}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 462}}}}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.generator.Generator.exists_sql": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.generator.Generator.except_sql": {"tf": 1}, "sqlglot.generator.Generator.except_op": {"tf": 1}}, "df": 5}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.table.ensure_tables": {"tf": 1}}, "df": 4}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.extract_sql": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}}, "df": 6}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 3}}}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.449489742783178}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 8}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.env.filter_nulls": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.generator.Generator.eq_sql": {"tf": 1}}, "df": 2}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.escape_sql": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.generator.Generator.in_sql": {"tf": 1}}, "df": 3, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.4142135623730951}, "sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.executor.context.Context.set_range": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1}, "sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 2}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 39, "o": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.into_sql": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1}, "sqlglot.generator.Generator.intersect_op": {"tf": 1}}, "df": 5}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.interval_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1}}, "df": 4}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.introducer_sql": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.generator.Generator.intdiv_sql": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator.insert_sql": {"tf": 1}}, "df": 5}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor.context.Context.set_index": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.index_sql": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 2}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}}, "df": 10}}}, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3}}}}}}}, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 7}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.context.Context.table_iter": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.lineage.Node.walk": {"tf": 1}}, "df": 5}}}}}}}, "f": {"docs": {"sqlglot.dialects.dialect.if_sql": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1}, "sqlglot.generator.Generator.if_sql": {"tf": 1}}, "df": 3}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1}, "sqlglot.expressions.Condition.ilike": {"tf": 1}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.ilikeany_sql": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot.expressions.Condition.is_": {"tf": 1}, "sqlglot.generator.Generator.is_sql": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML.__init__": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 4, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse_one": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.collate_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}}, "df": 18}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.when": {"tf": 2}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 2}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.substr": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.column_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 50, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.executor.context.Context.add_columns": {"tf": 1}, "sqlglot.executor.table.Table.__init__": {"tf": 1}, "sqlglot.executor.table.Table.add_columns": {"tf": 1}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 9}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.columnposition_sql": {"tf": 1}}, "df": 1}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 10}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.executor.context.Context.filter": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1}}, "df": 7}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.constraint_sql": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.concat_sql": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.connector_sql": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 50}}, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.pad_comment": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.comment_sql": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.expressions.Expression.add_comments": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 5}}}}, "a": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.command_sql": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.commit_sql": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.context.Context.eval": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor.context.Context.eval_tuple": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Literal.number": {"tf": 1}, "sqlglot.expressions.Literal.string": {"tf": 1}, "sqlglot.expressions.Properties.from_dict": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.Func.sql_names": {"tf": 1}, "sqlglot.expressions.Func.sql_name": {"tf": 1}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 30}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 5, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.clone_sql": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.cluster_sql": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dialects.dialect.rename_func": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.binary_range_parser": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 17}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.generator.Generator.cast_sql": {"tf": 1}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1}}, "df": 5}, "e": {"docs": {"sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.generator.Generator.case_sql": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 4}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.Generator.cache_sql": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1}, "sqlglot.generator.Generator.cte_sql": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.generator.Generator.create_sql": {"tf": 1}}, "df": 3}}}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.characterset_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.generator.Generator.check_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.properties": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.window_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 12, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1}}, "df": 9}}}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1}, "sqlglot.generator.Generator.with_sql": {"tf": 1}}, "df": 2, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.generator.Generator.withingroup_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.generator.Generator.where_sql": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot.generator.Generator.when_sql": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.window": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.qualify": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.DataType.is_type": {"tf": 1}, "sqlglot.expressions.Case.when": {"tf": 1}, "sqlglot.expressions.Case.else_": {"tf": 1}, "sqlglot.expressions.Cast.is_type": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 93, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1}}, "df": 3}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bracket_sql": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.bytestring_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition.between": {"tf": 1}, "sqlglot.generator.Generator.between_sql": {"tf": 1}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.bitstring_sql": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "x": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.binary": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}}, "df": 19}}}}}}}, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.dialect.parse_date_delta": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.ensure_column_mapping": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 9, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 2}}}}}}}}}}}, "x": {"docs": {"sqlglot.dialects.dialect.max_or_greatest": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.errors.concat_messages": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1}}, "df": 2}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.matchagainst_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.generator.Generator.unsupported": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.merge_sql": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 2, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1}, "sqlglot.generator.Generator.mod_sql": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 2}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.min_or_least": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema.find": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.mul_sql": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.over": {"tf": 1}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1}, "sqlglot.generator.Generator.gt_sql": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}}, "df": 27, "e": {"docs": {"sqlglot.generator.Generator.gte_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1}, "sqlglot.generator.Generator.group_sql": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 31}}, "e": {"docs": {"sqlglot.optimizer.normalize.distributive_law": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1}}, "df": 1}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1}}, "df": 2}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.generator.Generator.glob_sql": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller.__init__": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1.4142135623730951}}, "df": 7}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.indent": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.order_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.generator.Generator.op_expressions": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalized": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.__init__": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 23}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.lineage.Node.__init__": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1}, "sqlglot.executor.env.filter_nulls": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 7, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}}, "df": 2, "s": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.foreignkey_sql": {"tf": 1}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1}}, "df": 2}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 2}}}}}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.env.ordered": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.filter_sql": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.from_sql": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.generator.Generator.fetch_sql": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1}}, "df": 1}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.values_sql": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 4}}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator.var_sql": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dialects.dialect.var_map_sql": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 4}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.generator.Generator.parameter_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.4142135623730951}, "sqlglot.parser.binary_range_parser": {"tf": 1.4142135623730951}}, "df": 2}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.partition_sql": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.paren": {"tf": 1}, "sqlglot.generator.Generator.paren_sql": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1}}, "df": 4}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}}, "d": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.indent": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.generator.Generator.properties_sql": {"tf": 1}, "sqlglot.generator.Generator.root_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}}, "df": 12}}}, "y": {"docs": {"sqlglot.generator.Generator.locate_properties": {"tf": 1}, "sqlglot.generator.Generator.property_sql": {"tf": 1}, "sqlglot.generator.Generator.naked_property": {"tf": 1}}, "df": 3}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator.national_sql": {"tf": 1}, "sqlglot.generator.Generator.properties": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}}, "df": 6}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.generator.Generator.pragma_sql": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.execute": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.add_dependency": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.str_position": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 2}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.pseudotype_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.hint_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Condition.between": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ParseError.new": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}}, "df": 3}}, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.hexstring_sql": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.having_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}}}}}, "k": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.kwarg_sql": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.DataType.build": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.copy": {"tf": 1}}, "df": 32}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1}}, "df": 3}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1}}, "df": 2}}, "y": {"docs": {"sqlglot.executor.context.Context.sort": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.generator.Generator.sql": {"tf": 1}, "sqlglot.generator.Generator.expressions": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.schema.flatten_schema": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 2}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {"sqlglot.optimizer.simplify.is_complement": {"tf": 1}, "sqlglot.optimizer.simplify.is_false": {"tf": 1}, "sqlglot.optimizer.simplify.is_null": {"tf": 1}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.generator.Generator.table_sql": {"tf": 1}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1}}, "df": 6, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1}, "sqlglot.dataframe.sql.Column.when": {"tf": 1}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.errors.ParseError.__init__": {"tf": 1}, "sqlglot.errors.concat_messages": {"tf": 1}, "sqlglot.errors.merge_errors": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Condition.between": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.eq": {"tf": 1}, "sqlglot.expressions.Condition.neq": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator.any_sql": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1}, "sqlglot.schema.ensure_schema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 31}, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.generator.Generator.and_sql": {"tf": 1}}, "df": 2}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.generator.Generator.all_sql": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator.__init__": {"tf": 1}, "sqlglot.generator.Generator.alias_sql": {"tf": 1}, "sqlglot.lineage.Node.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.parser.Parser.__init__": {"tf": 1}}, "df": 14, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.generator.Generator.aliases_sql": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.generator.Generator.altercolumn_sql": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1}, "sqlglot.expressions.Expression.__init__": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator.no_identify": {"tf": 1}, "sqlglot.generator.Generator.func": {"tf": 1}, "sqlglot.generator.Generator.format_args": {"tf": 1}, "sqlglot.generator.Generator.text_width": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.parse_var_map": {"tf": 1}, "sqlglot.parser.parse_like": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 20}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.generator.Generator.lambda_sql": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.window": {"tf": 1}, "sqlglot.expressions.Select.qualify": {"tf": 1}}, "df": 17}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.pivot_column_names": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 4.123105625617661}}, "df": 2, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.attimezone_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.generator.Generator.add_sql": {"tf": 1}}, "df": 1, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.addconstraint_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.jsonobject_sql": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.join_sql": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 9, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.generator.Generator.joinhint_sql": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.planner.Join.from_joins": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.journalproperty_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}, "x": {"2": {"7": {"docs": {"sqlglot.helper.open_file": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.generator.Generator.__init__": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.expressions.Condition.as_": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}}, "df": 5}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Condition.isin": {"tf": 1}, "sqlglot.expressions.Tuple.isin": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.generator.Generator.qualify_sql": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}}, "df": 3}}}}}}}}}, "bases": {"root": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 85, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 6}}}}}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"2": {"docs": {"sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}}, "df": 4}, "docs": {"sqlglot.dialects.databricks.Databricks": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.planner.Scan": {"tf": 1}, "sqlglot.planner.Join": {"tf": 1}, "sqlglot.planner.Aggregate": {"tf": 1}, "sqlglot.planner.Sort": {"tf": 1}, "sqlglot.planner.SetOperation": {"tf": 1}}, "df": 5}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union": {"tf": 1}, "sqlglot.expressions.Select": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.All": {"tf": 1}, "sqlglot.expressions.Any": {"tf": 1}, "sqlglot.expressions.Exists": {"tf": 1}}, "df": 3}}}}}}}}}}}}}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python": {"tf": 1.4142135623730951}}, "df": 15, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1}, "sqlglot.dialects.databricks.Databricks": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1}, "sqlglot.dialects.hive.Hive": {"tf": 1}, "sqlglot.dialects.mysql.MySQL": {"tf": 1}, "sqlglot.dialects.oracle.Oracle": {"tf": 1}, "sqlglot.dialects.postgres.Postgres": {"tf": 1}, "sqlglot.dialects.presto.Presto": {"tf": 1}, "sqlglot.dialects.redshift.Redshift": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1}, "sqlglot.dialects.spark.Spark": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau": {"tf": 1}, "sqlglot.dialects.teradata.Teradata": {"tf": 1}, "sqlglot.dialects.trino.Trino": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL": {"tf": 1}, "sqlglot.executor.python.Python": {"tf": 1}}, "df": 36}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.CTE": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 14}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1}}, "df": 18}}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Interval": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}}, "df": 17}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}}, "df": 19}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dialects.trino.Trino": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.4142135623730951}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.SubqueryPredicate": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Between": {"tf": 1}, "sqlglot.expressions.In": {"tf": 1}}, "df": 18}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.AlgorithmProperty": {"tf": 1}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1}, "sqlglot.expressions.ChecksumProperty": {"tf": 1}, "sqlglot.expressions.CollateProperty": {"tf": 1}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1}, "sqlglot.expressions.DefinerProperty": {"tf": 1}, "sqlglot.expressions.DistKeyProperty": {"tf": 1}, "sqlglot.expressions.DistStyleProperty": {"tf": 1}, "sqlglot.expressions.EngineProperty": {"tf": 1}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1}, "sqlglot.expressions.ExternalProperty": {"tf": 1}, "sqlglot.expressions.FallbackProperty": {"tf": 1}, "sqlglot.expressions.FileFormatProperty": {"tf": 1}, "sqlglot.expressions.FreespaceProperty": {"tf": 1}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1}, "sqlglot.expressions.JournalProperty": {"tf": 1}, "sqlglot.expressions.LanguageProperty": {"tf": 1}, "sqlglot.expressions.LikeProperty": {"tf": 1}, "sqlglot.expressions.LocationProperty": {"tf": 1}, "sqlglot.expressions.LockingProperty": {"tf": 1}, "sqlglot.expressions.LogProperty": {"tf": 1}, "sqlglot.expressions.MaterializedProperty": {"tf": 1}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1}, "sqlglot.expressions.OnCommitProperty": {"tf": 1}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1}, "sqlglot.expressions.ReturnsProperty": {"tf": 1}, "sqlglot.expressions.RowFormatProperty": {"tf": 1}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1}, "sqlglot.expressions.SerdeProperties": {"tf": 1}, "sqlglot.expressions.SetProperty": {"tf": 1}, "sqlglot.expressions.SettingsProperty": {"tf": 1}, "sqlglot.expressions.SortKeyProperty": {"tf": 1}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1}, "sqlglot.expressions.StabilityProperty": {"tf": 1}, "sqlglot.expressions.TemporaryProperty": {"tf": 1}, "sqlglot.expressions.TransientProperty": {"tf": 1}, "sqlglot.expressions.VolatileProperty": {"tf": 1}, "sqlglot.expressions.WithDataProperty": {"tf": 1}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1}}, "df": 44}}}}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}}, "df": 21}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "~": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 2}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Add": {"tf": 1}, "sqlglot.expressions.Connector": {"tf": 1}, "sqlglot.expressions.BitwiseAnd": {"tf": 1}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1}, "sqlglot.expressions.BitwiseOr": {"tf": 1}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1}, "sqlglot.expressions.BitwiseXor": {"tf": 1}, "sqlglot.expressions.Div": {"tf": 1}, "sqlglot.expressions.Overlaps": {"tf": 1}, "sqlglot.expressions.Dot": {"tf": 1}, "sqlglot.expressions.DPipe": {"tf": 1}, "sqlglot.expressions.EQ": {"tf": 1}, "sqlglot.expressions.NullSafeEQ": {"tf": 1}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1}, "sqlglot.expressions.Distance": {"tf": 1}, "sqlglot.expressions.Escape": {"tf": 1}, "sqlglot.expressions.Glob": {"tf": 1}, "sqlglot.expressions.GT": {"tf": 1}, "sqlglot.expressions.GTE": {"tf": 1}, "sqlglot.expressions.ILike": {"tf": 1}, "sqlglot.expressions.ILikeAny": {"tf": 1}, "sqlglot.expressions.IntDiv": {"tf": 1}, "sqlglot.expressions.Is": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Like": {"tf": 1}, "sqlglot.expressions.LikeAny": {"tf": 1}, "sqlglot.expressions.LT": {"tf": 1}, "sqlglot.expressions.LTE": {"tf": 1}, "sqlglot.expressions.Mod": {"tf": 1}, "sqlglot.expressions.Mul": {"tf": 1}, "sqlglot.expressions.NEQ": {"tf": 1}, "sqlglot.expressions.SimilarTo": {"tf": 1}, "sqlglot.expressions.Slice": {"tf": 1}, "sqlglot.expressions.Sub": {"tf": 1}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayContained": {"tf": 1}, "sqlglot.expressions.Collate": {"tf": 1}, "sqlglot.expressions.JSONBContains": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}}, "df": 41}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.4142135623730951}}, "df": 3}}}, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Condition": {"tf": 1}, "sqlglot.expressions.DerivedTable": {"tf": 1}, "sqlglot.expressions.Unionable": {"tf": 1}, "sqlglot.expressions.Cache": {"tf": 1}, "sqlglot.expressions.Uncache": {"tf": 1}, "sqlglot.expressions.Create": {"tf": 1}, "sqlglot.expressions.Clone": {"tf": 1}, "sqlglot.expressions.Describe": {"tf": 1}, "sqlglot.expressions.Pragma": {"tf": 1}, "sqlglot.expressions.Set": {"tf": 1}, "sqlglot.expressions.SetItem": {"tf": 1}, "sqlglot.expressions.Show": {"tf": 1}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1}, "sqlglot.expressions.CharacterSet": {"tf": 1}, "sqlglot.expressions.With": {"tf": 1}, "sqlglot.expressions.WithinGroup": {"tf": 1}, "sqlglot.expressions.TableAlias": {"tf": 1}, "sqlglot.expressions.ColumnPosition": {"tf": 1}, "sqlglot.expressions.ColumnDef": {"tf": 1}, "sqlglot.expressions.AlterColumn": {"tf": 1}, "sqlglot.expressions.RenameTable": {"tf": 1}, "sqlglot.expressions.SetTag": {"tf": 1}, "sqlglot.expressions.Comment": {"tf": 1}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1}, "sqlglot.expressions.ColumnConstraint": {"tf": 1}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1}, "sqlglot.expressions.Constraint": {"tf": 1}, "sqlglot.expressions.Delete": {"tf": 1}, "sqlglot.expressions.Drop": {"tf": 1}, "sqlglot.expressions.Filter": {"tf": 1}, "sqlglot.expressions.Check": {"tf": 1}, "sqlglot.expressions.Directory": {"tf": 1}, "sqlglot.expressions.ForeignKey": {"tf": 1}, "sqlglot.expressions.PrimaryKey": {"tf": 1}, "sqlglot.expressions.Unique": {"tf": 1}, "sqlglot.expressions.Into": {"tf": 1}, "sqlglot.expressions.From": {"tf": 1}, "sqlglot.expressions.Having": {"tf": 1}, "sqlglot.expressions.Hint": {"tf": 1}, "sqlglot.expressions.JoinHint": {"tf": 1}, "sqlglot.expressions.Identifier": {"tf": 1}, "sqlglot.expressions.Index": {"tf": 1}, "sqlglot.expressions.Insert": {"tf": 1}, "sqlglot.expressions.OnConflict": {"tf": 1}, "sqlglot.expressions.Returning": {"tf": 1}, "sqlglot.expressions.Introducer": {"tf": 1}, "sqlglot.expressions.National": {"tf": 1}, "sqlglot.expressions.LoadData": {"tf": 1}, "sqlglot.expressions.Partition": {"tf": 1}, "sqlglot.expressions.Fetch": {"tf": 1}, "sqlglot.expressions.Group": {"tf": 1}, "sqlglot.expressions.Lambda": {"tf": 1}, "sqlglot.expressions.Limit": {"tf": 1}, "sqlglot.expressions.Join": {"tf": 1}, "sqlglot.expressions.MatchRecognize": {"tf": 1}, "sqlglot.expressions.Final": {"tf": 1}, "sqlglot.expressions.Offset": {"tf": 1}, "sqlglot.expressions.Order": {"tf": 1}, "sqlglot.expressions.Ordered": {"tf": 1}, "sqlglot.expressions.Property": {"tf": 1}, "sqlglot.expressions.InputOutputFormat": {"tf": 1}, "sqlglot.expressions.Properties": {"tf": 1}, "sqlglot.expressions.Qualify": {"tf": 1}, "sqlglot.expressions.Return": {"tf": 1}, "sqlglot.expressions.Reference": {"tf": 1}, "sqlglot.expressions.Tuple": {"tf": 1}, "sqlglot.expressions.Table": {"tf": 1}, "sqlglot.expressions.SystemTime": {"tf": 1}, "sqlglot.expressions.Update": {"tf": 1}, "sqlglot.expressions.Var": {"tf": 1}, "sqlglot.expressions.Schema": {"tf": 1}, "sqlglot.expressions.Lock": {"tf": 1}, "sqlglot.expressions.TableSample": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Pivot": {"tf": 1}, "sqlglot.expressions.Window": {"tf": 1}, "sqlglot.expressions.WindowSpec": {"tf": 1}, "sqlglot.expressions.Where": {"tf": 1}, "sqlglot.expressions.Star": {"tf": 1}, "sqlglot.expressions.Parameter": {"tf": 1}, "sqlglot.expressions.SessionParameter": {"tf": 1}, "sqlglot.expressions.Placeholder": {"tf": 1}, "sqlglot.expressions.DataTypeSize": {"tf": 1}, "sqlglot.expressions.DataType": {"tf": 1}, "sqlglot.expressions.PseudoType": {"tf": 1}, "sqlglot.expressions.Command": {"tf": 1}, "sqlglot.expressions.Transaction": {"tf": 1}, "sqlglot.expressions.Commit": {"tf": 1}, "sqlglot.expressions.Rollback": {"tf": 1}, "sqlglot.expressions.AlterTable": {"tf": 1}, "sqlglot.expressions.AddConstraint": {"tf": 1}, "sqlglot.expressions.DropPartition": {"tf": 1}, "sqlglot.expressions.Alias": {"tf": 1}, "sqlglot.expressions.Aliases": {"tf": 1}, "sqlglot.expressions.AtTimeZone": {"tf": 1}, "sqlglot.expressions.Distinct": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.IgnoreNulls": {"tf": 1}, "sqlglot.expressions.RespectNulls": {"tf": 1}, "sqlglot.expressions.JSONKeyValue": {"tf": 1}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1}, "sqlglot.expressions.Use": {"tf": 1}, "sqlglot.expressions.Merge": {"tf": 1}}, "df": 104}}}}}}}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.spark2.Spark2": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}, "m": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.starrocks.StarRocks": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}}, "df": 3}}}}}, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 4}}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}}, "c": {"docs": {"sqlglot.schema.Schema": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.ParameterizedAgg": {"tf": 1}, "sqlglot.expressions.Hll": {"tf": 1}, "sqlglot.expressions.ApproxDistinct": {"tf": 1}, "sqlglot.expressions.ArrayAgg": {"tf": 1}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1}, "sqlglot.expressions.Avg": {"tf": 1}, "sqlglot.expressions.AnyValue": {"tf": 1}, "sqlglot.expressions.Count": {"tf": 1}, "sqlglot.expressions.CountIf": {"tf": 1}, "sqlglot.expressions.LogicalOr": {"tf": 1}, "sqlglot.expressions.LogicalAnd": {"tf": 1}, "sqlglot.expressions.Max": {"tf": 1}, "sqlglot.expressions.Min": {"tf": 1}, "sqlglot.expressions.PercentileCont": {"tf": 1}, "sqlglot.expressions.PercentileDisc": {"tf": 1}, "sqlglot.expressions.Quantile": {"tf": 1}, "sqlglot.expressions.SetAgg": {"tf": 1}, "sqlglot.expressions.Sum": {"tf": 1}, "sqlglot.expressions.Stddev": {"tf": 1}, "sqlglot.expressions.StddevPop": {"tf": 1}, "sqlglot.expressions.StddevSamp": {"tf": 1}, "sqlglot.expressions.Variance": {"tf": 1}, "sqlglot.expressions.VariancePop": {"tf": 1}}, "df": 23}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.BitString": {"tf": 1}, "sqlglot.expressions.HexString": {"tf": 1}, "sqlglot.expressions.ByteString": {"tf": 1}, "sqlglot.expressions.RawString": {"tf": 1}, "sqlglot.expressions.Column": {"tf": 1}, "sqlglot.expressions.Literal": {"tf": 1}, "sqlglot.expressions.Null": {"tf": 1}, "sqlglot.expressions.Boolean": {"tf": 1}, "sqlglot.expressions.Binary": {"tf": 1}, "sqlglot.expressions.Unary": {"tf": 1}, "sqlglot.expressions.Bracket": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 13}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.And": {"tf": 1}, "sqlglot.expressions.Or": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.ConcatWs": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1}}, "df": 19}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.TryCast": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Except": {"tf": 1}, "sqlglot.expressions.Intersect": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.UDTF": {"tf": 1}, "sqlglot.expressions.Subqueryable": {"tf": 1}, "sqlglot.expressions.Subquery": {"tf": 1}}, "df": 3}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.BitwiseNot": {"tf": 1}, "sqlglot.expressions.Not": {"tf": 1}, "sqlglot.expressions.Paren": {"tf": 1}, "sqlglot.expressions.Neg": {"tf": 1}}, "df": 4}}}}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.expressions.Lateral": {"tf": 1}, "sqlglot.expressions.Unnest": {"tf": 1}, "sqlglot.expressions.Values": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Cluster": {"tf": 1}, "sqlglot.expressions.Distribute": {"tf": 1}, "sqlglot.expressions.Sort": {"tf": 1}}, "df": 3}}}}}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.AggFunc": {"tf": 1}, "sqlglot.expressions.Abs": {"tf": 1}, "sqlglot.expressions.Anonymous": {"tf": 1}, "sqlglot.expressions.Array": {"tf": 1}, "sqlglot.expressions.ToChar": {"tf": 1}, "sqlglot.expressions.GenerateSeries": {"tf": 1}, "sqlglot.expressions.ArrayAll": {"tf": 1}, "sqlglot.expressions.ArrayAny": {"tf": 1}, "sqlglot.expressions.ArrayConcat": {"tf": 1}, "sqlglot.expressions.ArrayContains": {"tf": 1}, "sqlglot.expressions.ArrayFilter": {"tf": 1}, "sqlglot.expressions.ArrayJoin": {"tf": 1}, "sqlglot.expressions.ArraySize": {"tf": 1}, "sqlglot.expressions.ArraySort": {"tf": 1}, "sqlglot.expressions.ArraySum": {"tf": 1}, "sqlglot.expressions.Case": {"tf": 1}, "sqlglot.expressions.Cast": {"tf": 1}, "sqlglot.expressions.CastToStrType": {"tf": 1}, "sqlglot.expressions.Ceil": {"tf": 1}, "sqlglot.expressions.Coalesce": {"tf": 1}, "sqlglot.expressions.Concat": {"tf": 1}, "sqlglot.expressions.CurrentDate": {"tf": 1}, "sqlglot.expressions.CurrentDatetime": {"tf": 1}, "sqlglot.expressions.CurrentTime": {"tf": 1}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1}, "sqlglot.expressions.CurrentUser": {"tf": 1}, "sqlglot.expressions.DateAdd": {"tf": 1}, "sqlglot.expressions.DateSub": {"tf": 1}, "sqlglot.expressions.DateDiff": {"tf": 1}, "sqlglot.expressions.DateTrunc": {"tf": 1}, "sqlglot.expressions.DatetimeAdd": {"tf": 1}, "sqlglot.expressions.DatetimeSub": {"tf": 1}, "sqlglot.expressions.DatetimeDiff": {"tf": 1}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1}, "sqlglot.expressions.DayOfWeek": {"tf": 1}, "sqlglot.expressions.DayOfMonth": {"tf": 1}, "sqlglot.expressions.DayOfYear": {"tf": 1}, "sqlglot.expressions.WeekOfYear": {"tf": 1}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1}, "sqlglot.expressions.Extract": {"tf": 1}, "sqlglot.expressions.TimestampAdd": {"tf": 1}, "sqlglot.expressions.TimestampSub": {"tf": 1}, "sqlglot.expressions.TimestampDiff": {"tf": 1}, "sqlglot.expressions.TimestampTrunc": {"tf": 1}, "sqlglot.expressions.TimeAdd": {"tf": 1}, "sqlglot.expressions.TimeSub": {"tf": 1}, "sqlglot.expressions.TimeDiff": {"tf": 1}, "sqlglot.expressions.TimeTrunc": {"tf": 1}, "sqlglot.expressions.DateFromParts": {"tf": 1}, "sqlglot.expressions.DateStrToDate": {"tf": 1}, "sqlglot.expressions.DateToDateStr": {"tf": 1}, "sqlglot.expressions.DateToDi": {"tf": 1}, "sqlglot.expressions.Day": {"tf": 1}, "sqlglot.expressions.Decode": {"tf": 1}, "sqlglot.expressions.DiToDate": {"tf": 1}, "sqlglot.expressions.Encode": {"tf": 1}, "sqlglot.expressions.Exp": {"tf": 1}, "sqlglot.expressions.Explode": {"tf": 1}, "sqlglot.expressions.Floor": {"tf": 1}, "sqlglot.expressions.FromBase64": {"tf": 1}, "sqlglot.expressions.ToBase64": {"tf": 1}, "sqlglot.expressions.Greatest": {"tf": 1}, "sqlglot.expressions.GroupConcat": {"tf": 1}, "sqlglot.expressions.Hex": {"tf": 1}, "sqlglot.expressions.If": {"tf": 1}, "sqlglot.expressions.IfNull": {"tf": 1}, "sqlglot.expressions.Initcap": {"tf": 1}, "sqlglot.expressions.JSONObject": {"tf": 1}, "sqlglot.expressions.OpenJSON": {"tf": 1}, "sqlglot.expressions.JSONExtract": {"tf": 1}, "sqlglot.expressions.JSONFormat": {"tf": 1}, "sqlglot.expressions.Least": {"tf": 1}, "sqlglot.expressions.Length": {"tf": 1}, "sqlglot.expressions.Levenshtein": {"tf": 1}, "sqlglot.expressions.Ln": {"tf": 1}, "sqlglot.expressions.Log": {"tf": 1}, "sqlglot.expressions.Log2": {"tf": 1}, "sqlglot.expressions.Log10": {"tf": 1}, "sqlglot.expressions.Lower": {"tf": 1}, "sqlglot.expressions.Map": {"tf": 1}, "sqlglot.expressions.StarMap": {"tf": 1}, "sqlglot.expressions.VarMap": {"tf": 1}, "sqlglot.expressions.MatchAgainst": {"tf": 1}, "sqlglot.expressions.MD5": {"tf": 1}, "sqlglot.expressions.Month": {"tf": 1}, "sqlglot.expressions.Nvl2": {"tf": 1}, "sqlglot.expressions.Posexplode": {"tf": 1}, "sqlglot.expressions.Pow": {"tf": 1}, "sqlglot.expressions.RangeN": {"tf": 1}, "sqlglot.expressions.ReadCSV": {"tf": 1}, "sqlglot.expressions.Reduce": {"tf": 1}, "sqlglot.expressions.RegexpExtract": {"tf": 1}, "sqlglot.expressions.RegexpLike": {"tf": 1}, "sqlglot.expressions.RegexpILike": {"tf": 1}, "sqlglot.expressions.RegexpSplit": {"tf": 1}, "sqlglot.expressions.Repeat": {"tf": 1}, "sqlglot.expressions.Round": {"tf": 1}, "sqlglot.expressions.RowNumber": {"tf": 1}, "sqlglot.expressions.SafeDivide": {"tf": 1}, "sqlglot.expressions.SHA": {"tf": 1}, "sqlglot.expressions.SHA2": {"tf": 1}, "sqlglot.expressions.SortArray": {"tf": 1}, "sqlglot.expressions.Split": {"tf": 1}, "sqlglot.expressions.Substring": {"tf": 1}, "sqlglot.expressions.StandardHash": {"tf": 1}, "sqlglot.expressions.StrPosition": {"tf": 1}, "sqlglot.expressions.StrToDate": {"tf": 1}, "sqlglot.expressions.StrToTime": {"tf": 1}, "sqlglot.expressions.StrToUnix": {"tf": 1}, "sqlglot.expressions.NumberToStr": {"tf": 1}, "sqlglot.expressions.Struct": {"tf": 1}, "sqlglot.expressions.StructExtract": {"tf": 1}, "sqlglot.expressions.Sqrt": {"tf": 1}, "sqlglot.expressions.TimeToStr": {"tf": 1}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1}, "sqlglot.expressions.TimeToUnix": {"tf": 1}, "sqlglot.expressions.TimeStrToDate": {"tf": 1}, "sqlglot.expressions.TimeStrToTime": {"tf": 1}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1}, "sqlglot.expressions.Trim": {"tf": 1}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1}, "sqlglot.expressions.Unhex": {"tf": 1}, "sqlglot.expressions.UnixToStr": {"tf": 1}, "sqlglot.expressions.UnixToTime": {"tf": 1}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1}, "sqlglot.expressions.Upper": {"tf": 1}, "sqlglot.expressions.Week": {"tf": 1}, "sqlglot.expressions.XMLTable": {"tf": 1}, "sqlglot.expressions.Year": {"tf": 1}, "sqlglot.expressions.When": {"tf": 1}, "sqlglot.expressions.NextValueFor": {"tf": 1}}, "df": 134}}}}, "j": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.JSONExtractScalar": {"tf": 1}, "sqlglot.expressions.JSONBExtract": {"tf": 1}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1}}, "df": 3}}}}}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.ApproxQuantile": {"tf": 1}}, "df": 1}}}}}}}}}}, "doc": {"root": {"0": {"0": {"0": {"9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"4": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"2": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "5": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"0": {"5": {"4": {"5": {"5": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "3": {"0": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}, "2": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "3": {"2": {"8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"1": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"4": {"1": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"5": {"8": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"6": {"7": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "5": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 6.928203230275509}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 41, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "1": {"0": {"0": {"0": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}}, "df": 4, "^": {"1": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "1": {"4": {"5": {"docs": {}, "df": 0, "/": {"2": {"6": {"4": {"2": {"9": {"3": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "2": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "3": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "6": {"3": {"2": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "4": {"1": {"3": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"1": {"8": {"0": {"8": {"8": {"0": {"2": {"8": {"2": {"9": {"5": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "9": {"8": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "9": {"6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 6}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}}, "2": {"0": {"0": {"7": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"1": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "4": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "5": {"1": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "5": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "6": {"4": {"2": {"9": {"8": {"2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 2}, "9": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 46}, "3": {"1": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "2": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "4": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}, "7": {"7": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "9": {"docs": {"sqlglot": {"tf": 6.855654600401044}, "sqlglot.dataframe": {"tf": 7.0710678118654755}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 4}, "sqlglot.expressions.subquery": {"tf": 2.8284271247461903}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.values": {"tf": 2}, "sqlglot.expressions.var": {"tf": 3.1622776601683795}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 4}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 3.7416573867739413}, "sqlglot.trie.in_trie": {"tf": 2.8284271247461903}}, "df": 89}, "docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 53}, "4": {"0": {"0": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "3": {"4": {"3": {"4": {"1": {"6": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "7": {"9": {"8": {"3": {"1": {"3": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "4": {"6": {"2": {"4": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "5": {"2": {"9": {"6": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "6": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "8": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "9": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 27}, "5": {"0": {"4": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "3": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 8}, "6": {"0": {"6": {"2": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "1": {"4": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}}, "df": 2, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "7": {"0": {"4": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "2": {"5": {"docs": {}, "df": 0, "\u2013": {"7": {"4": {"3": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "6": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "9": {"1": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "2": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}, "8": {"0": {"5": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "9": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "9": {"0": {"6": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "7": {"0": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "8": {"7": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {"sqlglot": {"tf": 62.12889826803627}, "sqlglot.pretty": {"tf": 1.7320508075688772}, "sqlglot.schema": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 5.916079783099616}, "sqlglot.parse_one": {"tf": 6.324555320336759}, "sqlglot.transpile": {"tf": 7.211102550927978}, "sqlglot.dataframe": {"tf": 48.86716689148246}, "sqlglot.dataframe.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.SparkSession.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.select": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.where": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.filter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.join": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.union": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersect": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.distinct": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.dropna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.limit": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.hint": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.repartition": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.cache": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 2}, "sqlglot.dataframe.sql.GroupedData": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.agg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.count": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.mean": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.avg": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.max": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.min": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.sum": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.GroupedData.pivot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_col": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_cols": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.unary_op": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ensure_literal": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.set_table_name": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.alias": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.when": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.otherwise": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isNotNull": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.startswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.endswith": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.rlike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.like": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.ilike": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.substr": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.isin": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.between": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.over": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Window.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameReader.table": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 21.817424229271428}, "sqlglot.dialects.bigquery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.HIVE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SPARK": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TRINO": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.DRILL": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.format_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parse_into": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generate": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.tokenize": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialect.generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.rename_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.if_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.inline_array_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_properties_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_position_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.struct_extract_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.var_map_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 5.744562646538029}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.parse_date_delta": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.parse_date_delta_with_interval": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.date_trunc_to_time": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.locate_to_strposition": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.timestrtotime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.datestrtodate_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.min_or_least": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.max_or_greatest": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.count_if_to_sum": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.str_to_time_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.pivot_column_names": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 3.3166247903554}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 4.47213595499958}, "sqlglot.dialects.snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.trino.Trino.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 6.082762530298219}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 13.45362404707371}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 50.556898639058154}, "sqlglot.diff.Insert": {"tf": 1.4142135623730951}, "sqlglot.diff.Insert.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Remove": {"tf": 1.4142135623730951}, "sqlglot.diff.Remove.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1.4142135623730951}, "sqlglot.diff.Move.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Update": {"tf": 1.4142135623730951}, "sqlglot.diff.Update.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.Keep": {"tf": 1.4142135623730951}, "sqlglot.diff.Keep.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 11.313708498984761}, "sqlglot.diff.ChangeDistiller": {"tf": 2.6457513110645907}, "sqlglot.diff.ChangeDistiller.__init__": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller.diff": {"tf": 1.7320508075688772}, "sqlglot.errors": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1.7320508075688772}, "sqlglot.errors.SqlglotError": {"tf": 1.7320508075688772}, "sqlglot.errors.UnsupportedError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.__init__": {"tf": 1.7320508075688772}, "sqlglot.errors.ParseError.new": {"tf": 1.7320508075688772}, "sqlglot.errors.TokenError": {"tf": 1.7320508075688772}, "sqlglot.errors.OptimizeError": {"tf": 1.7320508075688772}, "sqlglot.errors.SchemaError": {"tf": 1.7320508075688772}, "sqlglot.errors.ExecuteError": {"tf": 1.7320508075688772}, "sqlglot.errors.concat_messages": {"tf": 1.7320508075688772}, "sqlglot.errors.merge_errors": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 35.11409973215888}, "sqlglot.executor.execute": {"tf": 7}, "sqlglot.executor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 3}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.eval_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.table_iter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.filter": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_row": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_index": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context.set_range": {"tf": 1.7320508075688772}, "sqlglot.executor.env": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key": {"tf": 1.7320508075688772}, "sqlglot.executor.env.reverse_key.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.filter_nulls": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 4.58257569495584}, "sqlglot.executor.env.str_position": {"tf": 1.7320508075688772}, "sqlglot.executor.env.substring": {"tf": 1.7320508075688772}, "sqlglot.executor.env.cast": {"tf": 1.7320508075688772}, "sqlglot.executor.env.ordered": {"tf": 1.7320508075688772}, "sqlglot.executor.env.interval": {"tf": 1.7320508075688772}, "sqlglot.executor.python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.context": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.static": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_table": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.scan_csv": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.nested_loop_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.hash_join": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.aggregate": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.sort": {"tf": 1.7320508075688772}, "sqlglot.executor.python.PythonExecutor.set_operation": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 13.45362404707371}, "sqlglot.executor.table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.add_columns": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.append": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Table.pop": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter": {"tf": 1.7320508075688772}, "sqlglot.executor.table.TableIter.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RangeReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader": {"tf": 1.7320508075688772}, "sqlglot.executor.table.RowReader.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 4}, "sqlglot.executor.table.ensure_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 4}, "sqlglot.expressions.Expression": {"tf": 10.954451150103322}, "sqlglot.expressions.Expression.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.this": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_int": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Expression.copy": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.add_comments": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.set": {"tf": 4.898979485566356}, "sqlglot.expressions.Expression.depth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 5.291502622129181}, "sqlglot.expressions.Expression.find_all": {"tf": 5.291502622129181}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.parent_select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.same_parent": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.root": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.walk": {"tf": 5.5677643628300215}, "sqlglot.expressions.Expression.dfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.bfs": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unalias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.flatten": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.sql": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.transform": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.replace": {"tf": 5.477225575051661}, "sqlglot.expressions.Expression.pop": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.assert_is": {"tf": 9.643650760992955}, "sqlglot.expressions.Expression.error_messages": {"tf": 4.795831523312719}, "sqlglot.expressions.Expression.dump": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 9.797958971132712}, "sqlglot.expressions.Condition.or_": {"tf": 9.797958971132712}, "sqlglot.expressions.Condition.not_": {"tf": 8.54400374531753}, "sqlglot.expressions.Condition.as_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.between": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.is_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.like": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.ilike": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.eq": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.neq": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.rlike": {"tf": 1.7320508075688772}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DerivedTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 10.488088481701515}, "sqlglot.expressions.Unionable.intersect": {"tf": 10.488088481701515}, "sqlglot.expressions.Unionable.except_": {"tf": 10.535653752852738}, "sqlglot.expressions.UDTF": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Uncache": {"tf": 1.7320508075688772}, "sqlglot.expressions.Create": {"tf": 1.7320508075688772}, "sqlglot.expressions.Clone": {"tf": 1.7320508075688772}, "sqlglot.expressions.Describe": {"tf": 1.7320508075688772}, "sqlglot.expressions.Pragma": {"tf": 1.7320508075688772}, "sqlglot.expressions.Set": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetItem": {"tf": 1.7320508075688772}, "sqlglot.expressions.Show": {"tf": 1.7320508075688772}, "sqlglot.expressions.UserDefinedFunction": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSet": {"tf": 1.7320508075688772}, "sqlglot.expressions.With": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithinGroup": {"tf": 1.7320508075688772}, "sqlglot.expressions.CTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.TableAlias": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitString": {"tf": 1.7320508075688772}, "sqlglot.expressions.HexString": {"tf": 1.7320508075688772}, "sqlglot.expressions.ByteString": {"tf": 1.7320508075688772}, "sqlglot.expressions.RawString": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Column.parts": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.to_dot": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnPosition": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnDef": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterColumn": {"tf": 1.7320508075688772}, "sqlglot.expressions.RenameTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetTag": {"tf": 1.7320508075688772}, "sqlglot.expressions.Comment": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeTreeTTLAction": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeTreeTTL": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.ColumnConstraintKind": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CheckColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CommentColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.CompressColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFormatColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefaultColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.EncodeColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.InlineLengthColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.NotNullColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.OnUpdateColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.TitleColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UniqueColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.UppercaseColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.PathColumnConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Constraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 9.055385138137417}, "sqlglot.expressions.Delete.where": {"tf": 10.198039027185569}, "sqlglot.expressions.Delete.returning": {"tf": 10.488088481701515}, "sqlglot.expressions.Drop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Filter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Check": {"tf": 1.7320508075688772}, "sqlglot.expressions.Directory": {"tf": 1.7320508075688772}, "sqlglot.expressions.ForeignKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.PrimaryKey": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unique": {"tf": 1.7320508075688772}, "sqlglot.expressions.Into": {"tf": 1.7320508075688772}, "sqlglot.expressions.From": {"tf": 1.7320508075688772}, "sqlglot.expressions.Having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hint": {"tf": 1.7320508075688772}, "sqlglot.expressions.JoinHint": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Index": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 11.874342087037917}, "sqlglot.expressions.OnConflict": {"tf": 1.7320508075688772}, "sqlglot.expressions.Returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Introducer": {"tf": 1.7320508075688772}, "sqlglot.expressions.National": {"tf": 1.7320508075688772}, "sqlglot.expressions.LoadData": {"tf": 1.7320508075688772}, "sqlglot.expressions.Partition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Fetch": {"tf": 1.7320508075688772}, "sqlglot.expressions.Group": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lambda": {"tf": 1.7320508075688772}, "sqlglot.expressions.Limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.number": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.string": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 11.135528725660043}, "sqlglot.expressions.Join.using": {"tf": 11.445523142259598}, "sqlglot.expressions.Lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.MatchRecognize": {"tf": 1.7320508075688772}, "sqlglot.expressions.Final": {"tf": 1.7320508075688772}, "sqlglot.expressions.Offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Order": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cluster": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distribute": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sort": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ordered": {"tf": 1.7320508075688772}, "sqlglot.expressions.Property": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlgorithmProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.AutoIncrementProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.BlockCompressionProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CharacterSetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ChecksumProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.CollateProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataBlocksizeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DefinerProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.DistStyleProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.EngineProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExecuteAsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ExternalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FallbackProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FileFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.FreespaceProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.InputOutputFormat": {"tf": 1.7320508075688772}, "sqlglot.expressions.IsolatedLoadingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.JournalProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LanguageProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LocationProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LockingProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MaterializedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.MergeBlockRatioProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.NoPrimaryIndexProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.OnCommitProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.PartitionedByProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReturnsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatDelimitedProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowFormatSerdeProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SchemaCommentProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SerdeProperties": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SettingsProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortKeyProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.SqlSecurityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.StabilityProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TemporaryProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.TransientProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.VolatileProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithDataProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.WithJournalTableProperty": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_NAME": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_WITH": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"tf": 1.7320508075688772}, "sqlglot.expressions.Properties.from_dict": {"tf": 1.7320508075688772}, "sqlglot.expressions.Qualify": {"tf": 1.7320508075688772}, "sqlglot.expressions.Return": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reference": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tuple.isin": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 11.832159566199232}, "sqlglot.expressions.Subqueryable.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 12.449899597988733}, "sqlglot.expressions.Table": {"tf": 1.7320508075688772}, "sqlglot.expressions.Table.parts": {"tf": 1.7320508075688772}, "sqlglot.expressions.SystemTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 10.816653826391969}, "sqlglot.expressions.Union.select": {"tf": 10.723805294763608}, "sqlglot.expressions.Union.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Except": {"tf": 1.7320508075688772}, "sqlglot.expressions.Intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Update": {"tf": 1.7320508075688772}, "sqlglot.expressions.Values": {"tf": 1.7320508075688772}, "sqlglot.expressions.Var": {"tf": 1.7320508075688772}, "sqlglot.expressions.Schema": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 10.488088481701515}, "sqlglot.expressions.Select.group_by": {"tf": 11.704699910719626}, "sqlglot.expressions.Select.order_by": {"tf": 11.445523142259598}, "sqlglot.expressions.Select.sort_by": {"tf": 11.874342087037917}, "sqlglot.expressions.Select.cluster_by": {"tf": 11.874342087037917}, "sqlglot.expressions.Select.limit": {"tf": 10.954451150103322}, "sqlglot.expressions.Select.offset": {"tf": 10.954451150103322}, "sqlglot.expressions.Select.select": {"tf": 10.246950765959598}, "sqlglot.expressions.Select.lateral": {"tf": 11.180339887498949}, "sqlglot.expressions.Select.join": {"tf": 18.894443627691185}, "sqlglot.expressions.Select.where": {"tf": 11.180339887498949}, "sqlglot.expressions.Select.having": {"tf": 12.041594578792296}, "sqlglot.expressions.Select.window": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.qualify": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 10.14889156509222}, "sqlglot.expressions.Select.ctas": {"tf": 11.135528725660043}, "sqlglot.expressions.Select.lock": {"tf": 14.696938456699069}, "sqlglot.expressions.Select.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.is_star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.TableSample": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 2.23606797749979}, "sqlglot.expressions.Pivot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Window": {"tf": 1.7320508075688772}, "sqlglot.expressions.WindowSpec": {"tf": 1.7320508075688772}, "sqlglot.expressions.Where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Parameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.SessionParameter": {"tf": 1.7320508075688772}, "sqlglot.expressions.Placeholder": {"tf": 1.7320508075688772}, "sqlglot.expressions.Null": {"tf": 1.7320508075688772}, "sqlglot.expressions.Boolean": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataTypeSize": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BIT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.CHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DATETIME64": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INET": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT128": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INT256": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSON": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.JSONB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MAP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.MONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.SUPER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TEXT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIME": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UBIGINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.USMALLINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UTINYINT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UINT128": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UINT256": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.UUID": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.Type.XML": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DataType.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.PseudoType": {"tf": 1.7320508075688772}, "sqlglot.expressions.SubqueryPredicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.All": {"tf": 1.7320508075688772}, "sqlglot.expressions.Any": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exists": {"tf": 1.7320508075688772}, "sqlglot.expressions.Command": {"tf": 1.7320508075688772}, "sqlglot.expressions.Transaction": {"tf": 1.7320508075688772}, "sqlglot.expressions.Commit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Rollback": {"tf": 1.7320508075688772}, "sqlglot.expressions.AlterTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.AddConstraint": {"tf": 1.7320508075688772}, "sqlglot.expressions.DropPartition": {"tf": 1.7320508075688772}, "sqlglot.expressions.Binary": {"tf": 1.7320508075688772}, "sqlglot.expressions.Add": {"tf": 1.7320508075688772}, "sqlglot.expressions.Connector": {"tf": 1.7320508075688772}, "sqlglot.expressions.And": {"tf": 1.7320508075688772}, "sqlglot.expressions.Or": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseAnd": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseLeftShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseRightShift": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseXor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Div": {"tf": 1.7320508075688772}, "sqlglot.expressions.Overlaps": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot.build": {"tf": 1.7320508075688772}, "sqlglot.expressions.DPipe": {"tf": 1.7320508075688772}, "sqlglot.expressions.EQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.NullSafeNEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distance": {"tf": 1.7320508075688772}, "sqlglot.expressions.Escape": {"tf": 1.7320508075688772}, "sqlglot.expressions.Glob": {"tf": 1.7320508075688772}, "sqlglot.expressions.GT": {"tf": 1.7320508075688772}, "sqlglot.expressions.GTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.ILikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.IntDiv": {"tf": 1.7320508075688772}, "sqlglot.expressions.Is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Kwarg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Like": {"tf": 1.7320508075688772}, "sqlglot.expressions.LikeAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.LT": {"tf": 1.7320508075688772}, "sqlglot.expressions.LTE": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mod": {"tf": 1.7320508075688772}, "sqlglot.expressions.Mul": {"tf": 1.7320508075688772}, "sqlglot.expressions.NEQ": {"tf": 1.7320508075688772}, "sqlglot.expressions.SimilarTo": {"tf": 1.7320508075688772}, "sqlglot.expressions.Slice": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sub": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayOverlaps": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unary": {"tf": 1.7320508075688772}, "sqlglot.expressions.BitwiseNot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Not": {"tf": 1.7320508075688772}, "sqlglot.expressions.Paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.Neg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Aliases": {"tf": 1.7320508075688772}, "sqlglot.expressions.AtTimeZone": {"tf": 1.7320508075688772}, "sqlglot.expressions.Between": {"tf": 1.7320508075688772}, "sqlglot.expressions.Bracket": {"tf": 1.7320508075688772}, "sqlglot.expressions.Distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.In": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit.__init__": {"tf": 1.7320508075688772}, "sqlglot.expressions.Interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.IgnoreNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.RespectNulls": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 4.69041575982343}, "sqlglot.expressions.Func.from_arg_list": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.sql_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func.default_parser_mappings": {"tf": 1.7320508075688772}, "sqlglot.expressions.AggFunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.ParameterizedAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Abs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Anonymous": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hll": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxDistinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Array": {"tf": 1.7320508075688772}, "sqlglot.expressions.ToChar": {"tf": 1.7320508075688772}, "sqlglot.expressions.GenerateSeries": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAll": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayAny": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayContained": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayFilter": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayJoin": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySize": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySort": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArraySum": {"tf": 1.7320508075688772}, "sqlglot.expressions.ArrayUnionAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.Avg": {"tf": 1.7320508075688772}, "sqlglot.expressions.AnyValue": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.when": {"tf": 1.7320508075688772}, "sqlglot.expressions.Case.else_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 11.313708498984761}, "sqlglot.expressions.Cast.is_type": {"tf": 1.7320508075688772}, "sqlglot.expressions.CastToStrType": {"tf": 1.7320508075688772}, "sqlglot.expressions.Collate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TryCast": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ceil": {"tf": 1.7320508075688772}, "sqlglot.expressions.Coalesce": {"tf": 1.7320508075688772}, "sqlglot.expressions.Concat": {"tf": 1.7320508075688772}, "sqlglot.expressions.ConcatWs": {"tf": 1.7320508075688772}, "sqlglot.expressions.Count": {"tf": 1.7320508075688772}, "sqlglot.expressions.CountIf": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentDatetime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentTimestamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.CurrentUser": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.DatetimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfWeek": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.DayOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.WeekOfYear": {"tf": 1.7320508075688772}, "sqlglot.expressions.LastDateOfMonth": {"tf": 1.7320508075688772}, "sqlglot.expressions.Extract": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimestampTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeSub": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeDiff": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeTrunc": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateFromParts": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.DateToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Day": {"tf": 1.7320508075688772}, "sqlglot.expressions.Decode": {"tf": 1.7320508075688772}, "sqlglot.expressions.DiToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Encode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Exp": {"tf": 1.7320508075688772}, "sqlglot.expressions.Explode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Floor": {"tf": 1.7320508075688772}, "sqlglot.expressions.FromBase64": {"tf": 1.7320508075688772}, "sqlglot.expressions.ToBase64": {"tf": 1.7320508075688772}, "sqlglot.expressions.Greatest": {"tf": 1.7320508075688772}, "sqlglot.expressions.GroupConcat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Hex": {"tf": 1.7320508075688772}, "sqlglot.expressions.If": {"tf": 1.7320508075688772}, "sqlglot.expressions.IfNull": {"tf": 1.7320508075688772}, "sqlglot.expressions.Initcap": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONKeyValue": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONObject": {"tf": 1.7320508075688772}, "sqlglot.expressions.OpenJSONColumnDef": {"tf": 1.7320508075688772}, "sqlglot.expressions.OpenJSON": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBContains": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONBExtractScalar": {"tf": 1.7320508075688772}, "sqlglot.expressions.JSONFormat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Least": {"tf": 1.7320508075688772}, "sqlglot.expressions.Length": {"tf": 1.7320508075688772}, "sqlglot.expressions.Levenshtein": {"tf": 1.7320508075688772}, "sqlglot.expressions.Ln": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Log10": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogicalOr": {"tf": 1.7320508075688772}, "sqlglot.expressions.LogicalAnd": {"tf": 1.7320508075688772}, "sqlglot.expressions.Lower": {"tf": 1.7320508075688772}, "sqlglot.expressions.Map": {"tf": 1.7320508075688772}, "sqlglot.expressions.StarMap": {"tf": 1.7320508075688772}, "sqlglot.expressions.VarMap": {"tf": 1.7320508075688772}, "sqlglot.expressions.MatchAgainst": {"tf": 1.7320508075688772}, "sqlglot.expressions.Max": {"tf": 1.7320508075688772}, "sqlglot.expressions.MD5": {"tf": 1.7320508075688772}, "sqlglot.expressions.Min": {"tf": 1.7320508075688772}, "sqlglot.expressions.Month": {"tf": 1.7320508075688772}, "sqlglot.expressions.Nvl2": {"tf": 1.7320508075688772}, "sqlglot.expressions.Posexplode": {"tf": 1.7320508075688772}, "sqlglot.expressions.Pow": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileCont": {"tf": 1.7320508075688772}, "sqlglot.expressions.PercentileDisc": {"tf": 1.7320508075688772}, "sqlglot.expressions.Quantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.ApproxQuantile": {"tf": 1.7320508075688772}, "sqlglot.expressions.RangeN": {"tf": 1.7320508075688772}, "sqlglot.expressions.ReadCSV": {"tf": 1.7320508075688772}, "sqlglot.expressions.Reduce": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpLike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpILike": {"tf": 1.7320508075688772}, "sqlglot.expressions.RegexpSplit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Repeat": {"tf": 1.7320508075688772}, "sqlglot.expressions.Round": {"tf": 1.7320508075688772}, "sqlglot.expressions.RowNumber": {"tf": 1.7320508075688772}, "sqlglot.expressions.SafeDivide": {"tf": 1.7320508075688772}, "sqlglot.expressions.SetAgg": {"tf": 1.7320508075688772}, "sqlglot.expressions.SHA": {"tf": 1.7320508075688772}, "sqlglot.expressions.SHA2": {"tf": 1.7320508075688772}, "sqlglot.expressions.SortArray": {"tf": 1.7320508075688772}, "sqlglot.expressions.Split": {"tf": 1.7320508075688772}, "sqlglot.expressions.Substring": {"tf": 1.7320508075688772}, "sqlglot.expressions.StandardHash": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrPosition": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.StrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.NumberToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Struct": {"tf": 1.7320508075688772}, "sqlglot.expressions.StructExtract": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sum": {"tf": 1.7320508075688772}, "sqlglot.expressions.Sqrt": {"tf": 1.7320508075688772}, "sqlglot.expressions.Stddev": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevPop": {"tf": 1.7320508075688772}, "sqlglot.expressions.StddevSamp": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeStrToUnix": {"tf": 1.7320508075688772}, "sqlglot.expressions.Trim": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsAdd": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDateStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDsToDate": {"tf": 1.7320508075688772}, "sqlglot.expressions.TsOrDiToDi": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unhex": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTime": {"tf": 1.7320508075688772}, "sqlglot.expressions.UnixToTimeStr": {"tf": 1.7320508075688772}, "sqlglot.expressions.Upper": {"tf": 1.7320508075688772}, "sqlglot.expressions.Variance": {"tf": 1.7320508075688772}, "sqlglot.expressions.VariancePop": {"tf": 1.7320508075688772}, "sqlglot.expressions.Week": {"tf": 1.7320508075688772}, "sqlglot.expressions.XMLTable": {"tf": 1.7320508075688772}, "sqlglot.expressions.Year": {"tf": 1.7320508075688772}, "sqlglot.expressions.Use": {"tf": 1.7320508075688772}, "sqlglot.expressions.Merge": {"tf": 1.7320508075688772}, "sqlglot.expressions.When": {"tf": 1.7320508075688772}, "sqlglot.expressions.NextValueFor": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 10.14889156509222}, "sqlglot.expressions.union": {"tf": 10}, "sqlglot.expressions.intersect": {"tf": 10}, "sqlglot.expressions.except_": {"tf": 10.04987562112089}, "sqlglot.expressions.select": {"tf": 9.797958971132712}, "sqlglot.expressions.from_": {"tf": 9.797958971132712}, "sqlglot.expressions.update": {"tf": 12}, "sqlglot.expressions.delete": {"tf": 9.433981132056603}, "sqlglot.expressions.insert": {"tf": 10.04987562112089}, "sqlglot.expressions.condition": {"tf": 14.071247279470288}, "sqlglot.expressions.and_": {"tf": 10.04987562112089}, "sqlglot.expressions.or_": {"tf": 10.04987562112089}, "sqlglot.expressions.not_": {"tf": 9}, "sqlglot.expressions.paren": {"tf": 8.48528137423857}, "sqlglot.expressions.to_identifier": {"tf": 5.744562646538029}, "sqlglot.expressions.to_interval": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 6.244997998398398}, "sqlglot.expressions.to_column": {"tf": 5.291502622129181}, "sqlglot.expressions.alias_": {"tf": 12.84523257866513}, "sqlglot.expressions.subquery": {"tf": 10}, "sqlglot.expressions.column": {"tf": 6.557438524302}, "sqlglot.expressions.cast": {"tf": 8.888194417315589}, "sqlglot.expressions.table_": {"tf": 6.557438524302}, "sqlglot.expressions.values": {"tf": 8.888194417315589}, "sqlglot.expressions.var": {"tf": 10.488088481701515}, "sqlglot.expressions.rename_table": {"tf": 4.898979485566356}, "sqlglot.expressions.convert": {"tf": 5.744562646538029}, "sqlglot.expressions.replace_children": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 8.54400374531753}, "sqlglot.expressions.table_name": {"tf": 9.695359714832659}, "sqlglot.expressions.replace_tables": {"tf": 10.344080432788601}, "sqlglot.expressions.replace_placeholders": {"tf": 12.489995996796797}, "sqlglot.expressions.expand": {"tf": 14.247806848775006}, "sqlglot.expressions.func": {"tf": 12.884098726725126}, "sqlglot.expressions.true": {"tf": 1.7320508075688772}, "sqlglot.expressions.false": {"tf": 1.7320508075688772}, "sqlglot.expressions.null": {"tf": 1.7320508075688772}, "sqlglot.generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 13.45362404707371}, "sqlglot.generator.Generator.__init__": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 3}, "sqlglot.generator.Generator.unsupported": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sep": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.seg": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pad_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.maybe_comment": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.wrap": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.no_identify": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.normalize_func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.indent": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uncache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cache_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.characterset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.column_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columnposition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columndef_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.columnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.create_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.clone_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.describe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.prepend_ctes": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablealias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hexstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bytestring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rawstring_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datatypesize_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.directory_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.delete_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.drop_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.except_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fetch_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.filter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.hint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.index_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.identifier_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.inputoutputformat_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.national_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.root_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.with_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.locate_properties": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.property_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.likeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.fallbackproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.journalproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.freespaceproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.checksumproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergeblockratioproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.datablocksizeproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.blockcompressionproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.isolatedloadingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lockingproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withdataproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.insert_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intersect_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.introducer_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pseudotype_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.onconflict_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.returning_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rowformatdelimitedproperty_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.table_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tablesample_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pivot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tuple_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.update_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.var_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.into_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.from_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.group_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.having_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.join_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lambda_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lateral_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.limit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.offset_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.setitem_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.set_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.pragma_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lock_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.literal_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.loaddata_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.null_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.boolean_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.order_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cluster_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distribute_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sort_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ordered_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.matchrecognize_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.query_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.after_having_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.after_limit_modifiers": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.select_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.schema_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.star_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.parameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sessionparameter_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.placeholder_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.subquery_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.qualify_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.union_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unnest_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.where_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.window_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.partition_by_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.windowspec_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.withingroup_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.between_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bracket_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.all_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.any_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.exists_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.case_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.constraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nextvaluefor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.extract_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trim_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.concat_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.check_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.foreignkey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.primarykey_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.unique_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.if_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.matchagainst_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.jsonkeyvalue_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.jsonobject_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.openjsoncolumndef_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.openjson_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.in_unnest_op": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.interval_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.return_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.reference_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.anonymous_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.paren_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.not_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.alias_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.aliases_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.attimezone_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.add_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.and_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.connector_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseand_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseleftshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisenot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiseor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwiserightshift_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.bitwisexor_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.cast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.currentdate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.collate_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.command_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.comment_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergetreettlaction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mergetreettl_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.transaction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.commit_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.rollback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altercolumn_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.renametable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.altertable_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.droppartition_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.addconstraint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distinct_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ignorenulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.respectnulls_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.intdiv_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dpipe_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.div_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.overlaps_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.distance_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.dot_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.eq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.escape_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.glob_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.gte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ilike_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.ilikeany_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.is_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.like_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.likeany_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.similarto_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lt_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.lte_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mod_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.mul_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.neq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeeq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.nullsafeneq_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.or_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.slice_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.sub_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.trycast_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.use_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.binary": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.function_fallback_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_args": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.text_width": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.format_time": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.op_expressions": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.naked_property": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.set_operation": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tag_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.token_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.joinhint_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.kwarg_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.when_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.merge_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.tochar_sql": {"tf": 1.7320508075688772}, "sqlglot.generator.cached_generator": {"tf": 1.7320508075688772}, "sqlglot.helper": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 2.449489742783178}, "sqlglot.helper.seq_get": {"tf": 3.3166247903554}, "sqlglot.helper.ensure_list": {"tf": 4.795831523312719}, "sqlglot.helper.ensure_collection": {"tf": 5.196152422706632}, "sqlglot.helper.csv": {"tf": 5.291502622129181}, "sqlglot.helper.subclasses": {"tf": 5.744562646538029}, "sqlglot.helper.apply_index_offset": {"tf": 5.830951894845301}, "sqlglot.helper.camel_to_snake_case": {"tf": 2.23606797749979}, "sqlglot.helper.while_changing": {"tf": 5.291502622129181}, "sqlglot.helper.tsort": {"tf": 4.795831523312719}, "sqlglot.helper.open_file": {"tf": 1.7320508075688772}, "sqlglot.helper.csv_reader": {"tf": 5.477225575051661}, "sqlglot.helper.find_new_name": {"tf": 5.291502622129181}, "sqlglot.helper.object_to_dict": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 12.649110640673518}, "sqlglot.helper.is_iterable": {"tf": 8.94427190999916}, "sqlglot.helper.flatten": {"tf": 11.224972160321824}, "sqlglot.helper.dict_depth": {"tf": 11.489125293076057}, "sqlglot.helper.first": {"tf": 2.449489742783178}, "sqlglot.helper.should_identify": {"tf": 5.291502622129181}, "sqlglot.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.__init__": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.walk": {"tf": 1.7320508075688772}, "sqlglot.lineage.Node.to_html": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 6.928203230275509}, "sqlglot.lineage.LineageHTML": {"tf": 2.6457513110645907}, "sqlglot.lineage.LineageHTML.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 13.2664991614216}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 4.69041575982343}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.coerce_type": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 10.198039027185569}, "sqlglot.optimizer.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 10.344080432788601}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 4.58257569495584}, "sqlglot.optimizer.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 12.727922061357855}, "sqlglot.optimizer.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities": {"tf": 1.7320508075688772}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 9.797958971132712}, "sqlglot.optimizer.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 11.180339887498949}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 10.535653752852738}, "sqlglot.optimizer.normalize.normalized": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 9.591663046625438}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 7.874007874011811}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.other_table_names": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 7.54983443527075}, "sqlglot.optimizer.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 10.344080432788601}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 10.44030650891055}, "sqlglot.optimizer.qualify_columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 11.832159566199232}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 4.795831523312719}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 13.416407864998739}, "sqlglot.optimizer.scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.CTE": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UNION": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 9.539392014169456}, "sqlglot.optimizer.scope.Scope.__init__": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.clear_cache": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.walk": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 5.744562646538029}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 5.656854249492381}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 5.477225575051661}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 4.47213595499958}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 3.872983346207417}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 4}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 3.1622776601683795}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 4.898979485566356}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 13.601470508735444}, "sqlglot.optimizer.scope.build_scope": {"tf": 4.69041575982343}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 5.385164807134504}, "sqlglot.optimizer.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 9.643650760992955}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.simplify_connectors": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2.6457513110645907}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.simplify.simplify_literals": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_parens": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_where_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.always_true": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_complement": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_false": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.is_null": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.eval_boolean": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_date": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.extract_interval": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.date_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.boolean_literal": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 9.899494936611665}, "sqlglot.optimizer.unnest_subqueries.unnest": {"tf": 1.7320508075688772}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"tf": 1.7320508075688772}, "sqlglot.parser": {"tf": 1.7320508075688772}, "sqlglot.parser.parse_var_map": {"tf": 1.7320508075688772}, "sqlglot.parser.parse_like": {"tf": 1.7320508075688772}, "sqlglot.parser.binary_range_parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 6.082762530298219}, "sqlglot.parser.Parser.__init__": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.reset": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 5.291502622129181}, "sqlglot.parser.Parser.parse_into": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.check_errors": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.raise_error": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 5.744562646538029}, "sqlglot.parser.Parser.validate_expression": {"tf": 4.358898943540674}, "sqlglot.planner": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan": {"tf": 1.7320508075688772}, "sqlglot.planner.Plan.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.Step": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Step.add_dependency": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.to_s": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 7.681145747868608}, "sqlglot.planner.Join": {"tf": 1.7320508075688772}, "sqlglot.planner.Join.from_joins": {"tf": 1.7320508075688772}, "sqlglot.planner.Aggregate": {"tf": 1.7320508075688772}, "sqlglot.planner.Sort": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.__init__": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 7.681145747868608}, "sqlglot.schema.Schema": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 5.291502622129181}, "sqlglot.schema.Schema.column_names": {"tf": 6.082762530298219}, "sqlglot.schema.Schema.get_column_type": {"tf": 6.082762530298219}, "sqlglot.schema.Schema.supported_table_args": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.empty": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 4}, "sqlglot.schema.AbstractMappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.find": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 7}, "sqlglot.schema.MappingSchema.__init__": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.copy": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 5.291502622129181}, "sqlglot.schema.MappingSchema.column_names": {"tf": 6.082762530298219}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 6.082762530298219}, "sqlglot.schema.ensure_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.ensure_column_mapping": {"tf": 1.7320508075688772}, "sqlglot.schema.flatten_schema": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_get": {"tf": 5.830951894845301}, "sqlglot.schema.nested_set": {"tf": 12.649110640673518}, "sqlglot.serde": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1.7320508075688772}, "sqlglot.serde.load": {"tf": 2.23606797749979}, "sqlglot.time": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 7.681145747868608}, "sqlglot.tokens": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_PAREN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACKET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.L_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.R_BRACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLUS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DCOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMICOLON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BACKSLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SLASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DPIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CARET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TILDA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LR_ARROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LT_AT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AT_GT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOLLAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_START": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BLOCK_END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SPACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BREAK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NUMBER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATABASE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SCHEMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIT_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HEX_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BYTE_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RAW_STRING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BOOLEAN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TINYINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UTINYINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USMALLINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UBIGINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT128": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UINT128": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INT256": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UINT256": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FLOAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DOUBLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DECIMAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGDECIMAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NVARCHAR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGTEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MEDIUMBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LONGBLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARBINARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JSONB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TIMESTAMPLTZ": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATETIME64": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UUID": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOGRAPHY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULLABLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GEOMETRY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HLLSKETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HSTORE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SUPER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BIGSERIAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.XML": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUEIDENTIFIER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SMALLMONEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWVERSION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IMAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VARIANT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OBJECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALIAS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALWAYS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ALL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANTI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.APPLY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ARRAY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ASOF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.AUTO_INCREMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BEGIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.BETWEEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CASE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CHARACTER_SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COLLATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMAND": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.COMMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CONSTRAINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CREATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CROSS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CUBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_DATETIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_TIMESTAMP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.CURRENT_USER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DEFAULT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DELETE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESC": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DESCRIBE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DISTINCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DIV": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.DROP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ELSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.END": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ESCAPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXCEPT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXECUTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.EXISTS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FALSE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FETCH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FILTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FINAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FIRST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FOREIGN_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FORMAT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FROM": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.FUNCTION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOB": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GLOBAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUP_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.GROUPING_SETS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HAVING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.HINT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IF": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ILIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INDEX": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INNER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INSERT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERSECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTERVAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.INTRODUCER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IRLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.IS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ISNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JOIN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.JOIN_MARKER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.KEEP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LANGUAGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LATERAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LEFT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIKE_ANY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LIMIT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOAD": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.LOCK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MAP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MATCH_RECOGNIZE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MERGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.MOD": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NATURAL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEXT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NEXT_VALUE_FOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NOTNULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.NULL": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OFFSET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ON": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDER_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDERED": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ORDINALITY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OUTER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVERLAPS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.OVERWRITE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PARTITION_BY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PERCENT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRAGMA": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROCEDURE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUALIFY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.QUOTE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RANGE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RECURSIVE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REPLACE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RETURNING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.REFERENCES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RIGHT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.RLIKE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLBACK": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROLLUP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.ROWS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SELECT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEMI": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SEPARATOR": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SET": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SETTINGS": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SHOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.SOME": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.STRUCT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TEMPORARY": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TOP": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.THEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.TRUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNCACHE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNION": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNNEST": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNPIVOT": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UPDATE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.USING": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VALUES": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VIEW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.VOLATILE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHEN": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WHERE": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WINDOW": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.WITH": {"tf": 1.7320508075688772}, "sqlglot.tokens.TokenType.UNIQUE": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 6.244997998398398}, "sqlglot.tokens.Token.number": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.string": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.identifier": {"tf": 2.23606797749979}, "sqlglot.tokens.Token.var": {"tf": 2.23606797749979}, "sqlglot.tokens.Tokenizer": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.reset": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 2.23606797749979}, "sqlglot.transforms": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 9.327379053088816}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 5.0990195135927845}, "sqlglot.transforms.eliminate_qualify": {"tf": 3.1622776601683795}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 2}, "sqlglot.transforms.explode_to_unnest": {"tf": 2}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_within_group_for_percentiles": {"tf": 1.7320508075688772}, "sqlglot.transforms.add_recursive_cte_column_names": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 5}, "sqlglot.trie": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 9.539392014169456}, "sqlglot.trie.in_trie": {"tf": 13.228756555322953}}, "df": 1804, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 67, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 5.5677643628300215}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 2.23606797749979}, "sqlglot.parse_one": {"tf": 2.23606797749979}, "sqlglot.transpile": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 6.48074069840786}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 6.324555320336759}, "sqlglot.executor.execute": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2.23606797749979}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 132, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.4031242374328485}, "sqlglot.schema": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 5}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 3}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.449489742783178}, "sqlglot.optimizer.normalize.normalize": {"tf": 2}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.23606797749979}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 75, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 11, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 3.3166247903554}}, "df": 1}}}}}}, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 5}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.executor.python.Python.Generator": {"tf": 3.7416573867739413}, "sqlglot.generator.Generator": {"tf": 3.7416573867739413}}, "df": 22}}, "c": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 3}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}}, "df": 3}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 2}}}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 61}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}}, "df": 7}}}}}}}, "b": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 3, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 2}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 13}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 12, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 2.6457513110645907}}, "df": 1}}}, "m": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 5, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 4}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}}, "df": 6}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 10, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 15, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 12, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "w": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.diff": {"tf": 7.937253933193772}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 2}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 24, "s": {"docs": {"sqlglot.expressions.expand": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}}, "df": 8}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}}, "df": 4, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 27, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}}, "df": 22}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 30}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "b": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 4.123105625617661}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 4.123105625617661}, "sqlglot.executor.python.Python.Generator": {"tf": 4.123105625617661}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 4.123105625617661}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 32, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 3.7416573867739413}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator.generate": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.string": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 106, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 25}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}}, "df": 3}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 2}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.simplify.simplify": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3}, "y": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 10}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 4}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 6.164414002968976}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lateral": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.where": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 3.1622776601683795}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 98, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9, "s": {"docs": {"sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 3}}, "|": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 6}}, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 5, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}}}, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 5.916079783099616}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 2}}, "df": 89, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 2}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 22}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 9, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {"sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 4.242640687119285}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 21, "s": {"docs": {"sqlglot.schema.Schema": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.605551275463989}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 4.242640687119285}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 2}}, "df": 35, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 3.605551275463989}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 4}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "r": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 4}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 44, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 8}}, "f": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 23}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.replace": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 7.54983443527075}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.58257569495584}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 163, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 96, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.is_iterable": {"tf": 2.23606797749979}, "sqlglot.helper.flatten": {"tf": 2}, "sqlglot.helper.first": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 12, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "n": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.605551275463989}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 2.6457513110645907}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 165, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 45, "s": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 59, "s": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 6, "d": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 11}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 2.8284271247461903}}, "df": 5, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 3}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 2}}}}}}, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2.23606797749979}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 32, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 44}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.6457513110645907}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}}, "df": 3}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 2}}}}}}}, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 6}}}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}}, "df": 3, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 23}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 48}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.is_iterable": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}}, "df": 5}, "r": {"docs": {"sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 6, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.dataframe": {"tf": 4.47213595499958}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 41, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 3}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 1}}}}}}}}}}, "d": {"1": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 1}, "2": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 1}, "docs": {"sqlglot": {"tf": 4.69041575982343}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 2}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1.4142135623730951}}, "df": 32, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}}, "df": 29}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}}, "df": 2}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}}, "df": 25, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.to_identifier": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}}, "s": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3}}, "f": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.using": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 156}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "\u2019": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {"sqlglot": {"tf": 7.681145747868608}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2.449489742783178}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3}, "sqlglot.diff": {"tf": 8.94427190999916}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 8.660254037844387}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 3}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_number": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot.build": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 2.23606797749979}, "sqlglot.expressions.to_column": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 3}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.449489742783178}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.7320508075688772}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 2}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 4.242640687119285}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3.4641016151377544}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.Scan.from_expression": {"tf": 3.4641016151377544}, "sqlglot.planner.SetOperation.from_expression": {"tf": 3.4641016151377544}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 2.6457513110645907}, "sqlglot.trie.in_trie": {"tf": 2.449489742783178}}, "df": 237, "n": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 133, "d": {"docs": {"sqlglot": {"tf": 5.196152422706632}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 7.0710678118654755}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.executor": {"tf": 7.0710678118654755}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.6457513110645907}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 120}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 13}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 27, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "l": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "s": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 16}}, "l": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 68, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "/": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 58, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 26}, "d": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}}, "df": 25}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "g": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "g": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 5}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 4}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 79, "n": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 2}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 12, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 2}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 188}}}}}}, "s": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 12}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "[": {"0": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "1": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "docs": {}, "df": 0}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 4.47213595499958}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4}, "sqlglot.executor": {"tf": 4.242640687119285}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 2}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 2}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 146, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 19, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}}, "df": 15, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 5}}}}}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 3}}}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3}}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot": {"tf": 2}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}}, "df": 10}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}}, "df": 17, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 3}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "g": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}}}}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 3.872983346207417}}, "df": 1}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 4, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 3}}}}}}, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.func": {"tf": 1.4142135623730951}}, "df": 1, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}}, "df": 2, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 3}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}}, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}}, "df": 3}}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 15, "t": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 83, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 7, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 7.745966692414834}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 28, "s": {"docs": {"sqlglot.diff": {"tf": 8.12403840463596}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 12}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 10, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 3}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 3}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.23606797749979}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 34}}, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}}, "df": 2, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 24, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dataframe": {"tf": 3}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}}, "df": 3, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1.4142135623730951}}, "df": 52}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 47, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 2}}, "df": 42}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.table_": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 1.7320508075688772}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.table_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}}, "df": 47, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 2}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}}, "df": 35}, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "\u00ef": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 63, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 6, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find_ancestor": {"tf": 1}}, "df": 1}}}}}}, "^": {"2": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}, "docs": {}, "df": 0}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 8, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 6}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 3}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}}, "df": 6}}}, "v": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}}, "df": 3, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}}, "df": 2}, "s": {"docs": {"sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 22}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 5, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 5.196152422706632}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 5.196152422706632}, "sqlglot.executor.python.Python.Generator": {"tf": 5.196152422706632}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 5.196152422706632}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 52, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 25}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 9}, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.env.null_if_any": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.4641016151377544}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.4641016151377544}, "sqlglot.executor.python.Python.Generator": {"tf": 3.4641016151377544}, "sqlglot.generator.Generator": {"tf": 3.4641016151377544}}, "df": 22, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.expressions.Delete.delete": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}}, "df": 4}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}}, "df": 5}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}}, "df": 1}}}}}}}}}}, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.copy": {"tf": 1}}, "df": 1}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}}, "df": 63, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 9}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}}, "df": 2}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 28, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 2}}}, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 2}, "sqlglot.time.format_time": {"tf": 1}}, "df": 35}}}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}}}}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.tsort": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1}}, "df": 6}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "m": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 4}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 4, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}}}}}}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 6, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 4}}}}, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 28, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 5}, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}}, "df": 8, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 3}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 8}}}}, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.schema.Schema": {"tf": 1}}, "df": 8}}}}}}, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}}, "df": 5}, "y": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}}, "df": 1, "s": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 5}}, "y": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "b": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2}}, "df": 11, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.7320508075688772}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 89, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 26, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 21}}}}}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 29}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 6}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 8, "/": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.paren": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 9, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.paren": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 3}}}}}}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_column": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "/": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 43}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 10}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 25}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 2}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 6}}}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 2}}}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions": {"tf": 1}}, "df": 3}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 7}}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 11}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 24}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.449489742783178}}, "df": 1}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}}, "df": 3}}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 3, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 3}}}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.898979485566356}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}}, "df": 29, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 3, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "p": {"3": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 29, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 2}}, "df": 1}}}}}}}}}, "n": {"docs": {"sqlglot.executor": {"tf": 2.8284271247461903}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}}, "df": 7}, "y": {"docs": {"sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 3}}}}}, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.pop": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "h": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 43, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.transpile": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 3}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.7320508075688772}}, "df": 6, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 11}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 6}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 3}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}}, "df": 5, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.872983346207417}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}}, "df": 75, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}}, "df": 6}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 68}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}, "i": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.8284271247461903}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 25, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {"sqlglot": {"tf": 4.358898943540674}, "sqlglot.pretty": {"tf": 1}, "sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.parse_one": {"tf": 1.7320508075688772}, "sqlglot.transpile": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 3.7416573867739413}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 5.477225575051661}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 5.477225575051661}, "sqlglot.diff": {"tf": 8.48528137423857}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 6.708203932499369}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 5.477225575051661}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.Unionable.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 2}, "sqlglot.expressions.Delete.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.returning": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 2.23606797749979}, "sqlglot.expressions.Func": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2.6457513110645907}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 2}, "sqlglot.expressions.from_": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.insert": {"tf": 2.6457513110645907}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.not_": {"tf": 2.23606797749979}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 2.8284271247461903}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.23606797749979}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 2}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 5.477225575051661}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.7320508075688772}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 2}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.Scan.from_expression": {"tf": 2.23606797749979}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.7320508075688772}, "sqlglot.schema.nested_set": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 2.449489742783178}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 198, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 2.6457513110645907}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 26}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 23}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 3}}}}}}}, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 2.23606797749979}}, "df": 2, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 3}}}}}}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 4.69041575982343}, "sqlglot.schema": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 2}, "sqlglot.parse_one": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 4}, "sqlglot.dataframe": {"tf": 4.358898943540674}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 3}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 4.358898943540674}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 4.358898943540674}, "sqlglot.diff": {"tf": 15.066519173319364}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.ChangeDistiller": {"tf": 1.7320508075688772}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 8.48528137423857}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.7320508075688772}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 4.358898943540674}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 3.1622776601683795}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.find_all": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Delete.returning": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 3.4641016151377544}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.8284271247461903}, "sqlglot.expressions.Join.using": {"tf": 3}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 3.4641016151377544}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Union.select": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.sort_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.offset": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.lateral": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.join": {"tf": 3.4641016151377544}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 2.8284271247461903}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3.1622776601683795}, "sqlglot.expressions.union": {"tf": 3}, "sqlglot.expressions.intersect": {"tf": 3}, "sqlglot.expressions.except_": {"tf": 3}, "sqlglot.expressions.select": {"tf": 3}, "sqlglot.expressions.from_": {"tf": 3.3166247903554}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.insert": {"tf": 3.1622776601683795}, "sqlglot.expressions.condition": {"tf": 3}, "sqlglot.expressions.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.not_": {"tf": 2.449489742783178}, "sqlglot.expressions.paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_identifier": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 3}, "sqlglot.expressions.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 3}, "sqlglot.generator.Generator": {"tf": 4.358898943540674}, "sqlglot.generator.Generator.generate": {"tf": 2}, "sqlglot.helper.AutoName": {"tf": 1.4142135623730951}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1.7320508075688772}, "sqlglot.helper.subclasses": {"tf": 2.23606797749979}, "sqlglot.helper.apply_index_offset": {"tf": 2.8284271247461903}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1.7320508075688772}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2.6457513110645907}, "sqlglot.helper.is_iterable": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.8284271247461903}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 2}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.parse_into": {"tf": 2.8284271247461903}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.Scan.from_expression": {"tf": 2.449489742783178}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.column_names": {"tf": 2}, "sqlglot.schema.Schema.get_column_type": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.23606797749979}, "sqlglot.schema.MappingSchema.column_names": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2.449489742783178}, "sqlglot.schema.nested_get": {"tf": 2.23606797749979}, "sqlglot.schema.nested_set": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 3.3166247903554}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 2.6457513110645907}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 2}, "sqlglot.trie.new_trie": {"tf": 2.23606797749979}, "sqlglot.trie.in_trie": {"tf": 2.23606797749979}}, "df": 249, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 2}}, "df": 4, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 16}, "m": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 6}, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 30}, "i": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 9}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff": {"tf": 5.744562646538029}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 3.605551275463989}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 69}, "n": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot": {"tf": 4.58257569495584}, "sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 6.244997998398398}, "sqlglot.diff.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.add_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 179}, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 2}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 7.280109889280518}, "sqlglot.diff.diff": {"tf": 2.8284271247461903}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 35, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 3.3166247903554}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Table.parts": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 2.6457513110645907}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 2.8284271247461903}, "sqlglot.expressions.to_column": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 2.449489742783178}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 2}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 2.449489742783178}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 2.449489742783178}, "sqlglot.schema.Schema.column_names": {"tf": 2}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 2.449489742783178}, "sqlglot.schema.MappingSchema.add_table": {"tf": 2.449489742783178}, "sqlglot.schema.MappingSchema.column_names": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.7320508075688772}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 89, "s": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 21, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 42}}}}}}, "|": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 2}}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 3}, "n": {"docs": {"sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "g": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Tag": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}}, "df": 32, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 2.23606797749979}}, "df": 28, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {}, "df": 0, "l": {"1": {"docs": {"sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 2}, "2": {"docs": {"sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 4}, "docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}}, "df": 30}}, "w": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 5}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "y": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 2.23606797749979}, "sqlglot.dialects": {"tf": 3.1622776601683795}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.23606797749979}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 2}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1.4142135623730951}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 30, "s": {"docs": {"sqlglot.dataframe": {"tf": 5.656854249492381}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 21}, "o": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}}, "p": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 4, "[": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.schema.nested_get": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 3, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 10, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 8, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}}, "df": 9}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 14, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1}}, "df": 3}}, "[": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 90}}}}, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}}, "df": 46}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "r": {"docs": {"sqlglot": {"tf": 4}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 2.6457513110645907}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1.7320508075688772}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 2}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 2.8284271247461903}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 99, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 20, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 42}}}}}}, "g": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"3": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"4": {"3": {"3": {"9": {"2": {"3": {"0": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 5}}}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.parse": {"tf": 1}, "sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.diff": {"tf": 10.488088481701515}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 4.69041575982343}, "sqlglot.executor.execute": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_children": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 2}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.23606797749979}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3.3166247903554}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.7320508075688772}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 165, "f": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 2.23606797749979}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 23}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Literal.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Star.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Alias.output_name": {"tf": 2.23606797749979}, "sqlglot.expressions.Cast.output_name": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}}, "df": 35, "s": {"docs": {"sqlglot.optimizer.scope.Scope.selects": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 7}}}, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "n": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.795831523312719}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 3}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}}, "df": 52, "e": {"docs": {"sqlglot": {"tf": 4.242640687119285}, "sqlglot.parse": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 2}, "sqlglot.expressions.Identifier.output_name": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 2}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 2}, "sqlglot.expressions.Star.output_name": {"tf": 2}, "sqlglot.expressions.Alias.output_name": {"tf": 2}, "sqlglot.expressions.Cast.output_name": {"tf": 2}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 63, "s": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 72}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 3}}, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.expressions.Select.distinct": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 6}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 50, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 22}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 5, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.insert": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}, "w": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 10, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 3}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.6457513110645907}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.6457513110645907}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.6457513110645907}, "sqlglot.generator.Generator": {"tf": 2.6457513110645907}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 26, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 23}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {"sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}}, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.Dialects": {"tf": 1}, "sqlglot.errors.ErrorLevel": {"tf": 1}, "sqlglot.expressions.Properties.Location": {"tf": 1}, "sqlglot.expressions.DataType.Type": {"tf": 1}, "sqlglot.optimizer.scope.ScopeType": {"tf": 1}, "sqlglot.tokens.TokenType": {"tf": 1}}, "df": 6}}}}}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 4}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 12}}, "r": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1, "p": {"docs": {"sqlglot": {"tf": 4.123105625617661}, "sqlglot.dialects": {"tf": 3.3166247903554}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}}, "df": 19, "r": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1}, "sqlglot.expressions.Expression.set": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 2}, "sqlglot.expressions.Expression.pop": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.where": {"tf": 2.23606797749979}, "sqlglot.expressions.Delete.returning": {"tf": 2.23606797749979}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 2.23606797749979}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.6457513110645907}, "sqlglot.expressions.Union.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Union.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.sort_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.limit": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.offset": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.having": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 2}, "sqlglot.expressions.Select.lock": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 3}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 2.6457513110645907}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.paren": {"tf": 2.23606797749979}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 2.449489742783178}, "sqlglot.expressions.subquery": {"tf": 2.23606797749979}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 2}, "sqlglot.expressions.replace_placeholders": {"tf": 2}, "sqlglot.expressions.expand": {"tf": 2.23606797749979}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.helper.while_changing": {"tf": 2}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.8284271247461903}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.8284271247461903}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2.6457513110645907}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 2.449489742783178}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2.6457513110645907}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.6457513110645907}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 3}, "sqlglot.optimizer.scope.Scope": {"tf": 2}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 2}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 2}, "sqlglot.optimizer.simplify.simplify": {"tf": 2.6457513110645907}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.6457513110645907}, "sqlglot.parser.Parser.parse_into": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.expression": {"tf": 2.23606797749979}, "sqlglot.parser.Parser.validate_expression": {"tf": 2}, "sqlglot.planner.Step.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.Scan.from_expression": {"tf": 2.6457513110645907}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.6457513110645907}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 152, "s": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 2.23606797749979}, "sqlglot.expressions.Condition.or_": {"tf": 2.23606797749979}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.23606797749979}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Star.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1.7320508075688772}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 2.23606797749979}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 2}, "sqlglot.expressions.or_": {"tf": 2}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.7320508075688772}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1.4142135623730951}}, "df": 95}}}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.iter_expressions": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 3, "/": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}}, "df": 3, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.expand": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1}}}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 93, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 17}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 7}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 5, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 2}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 21}}}}}, "t": {"docs": {"sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}}, "df": 7}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 2.449489742783178}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 2.449489742783178}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 30, "s": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.errors.ErrorLevel.IGNORE": {"tf": 1}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 29}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 42}}}}}}}}}, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 26}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 4.123105625617661}}, "df": 1, "s": {"docs": {"sqlglot.dataframe": {"tf": 3}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}}, "df": 10}}}, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 1, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 23}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 2}}}}}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.helper.first": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 4}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}}, "df": 3}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 1}}, "df": 1}}}}}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 10}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 3}}, "df": 1}}}, "u": {"docs": {}, "df": 0, ":": {"8": {"0": {"9": {"0": {"docs": {}, "df": 0, "/": {"1": {"1": {"5": {"docs": {}, "df": 0, "/": {"1": {"docs": {}, "df": 0, "/": {"1": {"9": {"9": {"5": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}, "docs": {}, "df": 0}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}}}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}}, "c": {"docs": {"sqlglot": {"tf": 3.605551275463989}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Literal.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Star.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Alias.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.Cast.output_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 22, "a": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot": {"tf": 3.872983346207417}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 29, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 2.449489742783178}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_list": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 12, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 4}, "r": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}}, "df": 2}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}}, "df": 3, "d": {"docs": {"sqlglot.generator.cached_generator": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}, "t": {"docs": {"sqlglot.trie.in_trie": {"tf": 2}}, "df": 1, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}}, "df": 10}}}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.helper.camel_to_snake_case": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.func": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 16}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 3}}}}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "m": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}}, "df": 1}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}}, "df": 4, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "x": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}}, "df": 2}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 3.7416573867739413}}, "df": 1, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}}, "df": 26}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_cte": {"tf": 1}}, "df": 14, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 22, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 5}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 43}}, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"8": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}, "docs": {}, "df": 0}}}}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.transpile": {"tf": 1}}, "df": 1}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "x": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context.__init__": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 2}, "sqlglot.planner.Scan.from_expression": {"tf": 2}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2}}, "df": 29}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 24, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}}, "df": 5}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 2}}}}}, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 10, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 4}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 2}}}}}}}}, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 2}}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Join.using": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 21}}}}, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 13, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 9}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 4}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.convert": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}}}}}, "j": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 2}}}}}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 72}}, "l": {"1": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "2": {"docs": {"sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}}, "df": 3}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 3.1622776601683795}, "sqlglot.executor.execute": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.tokens.Token.__init__": {"tf": 1}}, "df": 9, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2.6457513110645907}}, "df": 3}, "b": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2}}, "df": 2}, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Column.to_dot": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 2.449489742783178}, "sqlglot.expressions.column": {"tf": 2}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.Schema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.get_column_type": {"tf": 2}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 2}, "sqlglot.tokens.Token.__init__": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 62, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 28}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.execute": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.parse": {"tf": 1.4142135623730951}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}}, "df": 2}}}}}}}}, "s": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1.4142135623730951}}, "df": 6, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 3, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.convert": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 1.4142135623730951}}, "df": 42}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 27, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 8, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3}}}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 7, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 13}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.7416573867739413}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.7416573867739413}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 3.7416573867739413}, "sqlglot.generator.Generator": {"tf": 3.7416573867739413}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 24, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 43}}}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}}}, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.assert_is": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.transforms.preprocess": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 2}}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}}, "df": 9}}, "x": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Select.ctas": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.object_to_dict": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 25}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "f": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 3.3166247903554}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 4}}}}}}, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 5}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 2}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2}}, "df": 23, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4}}}}, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 2}}, "df": 2, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.Select.cluster_by": {"tf": 2}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1, "v": {"docs": {"sqlglot.helper.csv": {"tf": 1.4142135623730951}, "sqlglot.helper.csv_reader": {"tf": 2}}, "df": 2}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "i": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 2, "/": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}}}, "b": {"docs": {"sqlglot": {"tf": 4.795831523312719}, "sqlglot.diff": {"tf": 3.7416573867739413}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.flatten": {"tf": 2}, "sqlglot.optimizer.simplify.uniq_sort": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"tf": 3.1622776601683795}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 36, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 4.242640687119285}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.while_changing": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.7320508075688772}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2.449489742783178}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 110, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 6}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 3}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 2}}}, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}, "f": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 24}}}}, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 27}}}, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 6}}, "y": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.449489742783178}}, "df": 2}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 3.872983346207417}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 22}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 16, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 4}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "s": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 10}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2}}, "df": 2}}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 5}}, "y": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.pretty": {"tf": 1}, "sqlglot.schema": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.47213595499958}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.7320508075688772}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1.4142135623730951}}, "df": 60, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.PythonExecutor.generate_tuple": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 23, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {"sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 3}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}}, "df": 3}, "r": {"docs": {"sqlglot": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 2}, "sqlglot.expressions.alias_": {"tf": 2}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}}, "df": 5, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 15, "d": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 6}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.449489742783178}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.449489742783178}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 35, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 4}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.seq_get": {"tf": 1}}, "df": 1}}}}, "b": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 3}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}}, "df": 2}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.expressions.not_": {"tf": 1.4142135623730951}}, "df": 1}}, "b": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}}, "df": 7}}}, "u": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.7320508075688772}}, "df": 2, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.605551275463989}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 3.605551275463989}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 3.605551275463989}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 95, "d": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.schema": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.returning": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 1.4142135623730951}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 86}, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 4}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 6}}}, "r": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 2}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 11}}}, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 26, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.23606797749979}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.23606797749979}, "sqlglot.executor.python.Python.Generator": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 2.23606797749979}}, "df": 23, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}}, "r": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.trie.in_trie": {"tf": 1}}, "df": 1}}}}}}}}}}, "i": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.TimeUnit": {"tf": 1}}, "df": 3}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 3}}}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.is_union": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}}, "df": 1}, "/": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "q": {"docs": {"sqlglot.optimizer.simplify.uniq_sort": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 4}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "f": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 1}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}}, "df": 3}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}}}, "p": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 5, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.should_identify": {"tf": 1}}, "df": 23}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 7, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}}, "df": 3}}}}}}, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "d": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}}, "df": 1}}}}}, "f": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 4.69041575982343}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 5, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 3.4641016151377544}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 2.8284271247461903}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 6.855654600401044}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.SqlglotError": {"tf": 1}, "sqlglot.errors.UnsupportedError": {"tf": 1}, "sqlglot.errors.ParseError": {"tf": 1}, "sqlglot.errors.TokenError": {"tf": 1}, "sqlglot.errors.OptimizeError": {"tf": 1}, "sqlglot.errors.SchemaError": {"tf": 1}, "sqlglot.errors.ExecuteError": {"tf": 1}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 2.23606797749979}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 88, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}}, "df": 10, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}}, "df": 27, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.csv": {"tf": 1}}, "df": 24}}}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}}, "df": 2}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 3}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 12}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 3}}}}, "k": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "o": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 14}, "u": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}}, "df": 9, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot": {"tf": 6.557438524302}, "sqlglot.dataframe": {"tf": 4.58257569495584}, "sqlglot.dialects": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 4.358898943540674}, "sqlglot.executor": {"tf": 4}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 2}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.group_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.order_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.sort_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.union": {"tf": 2.23606797749979}, "sqlglot.expressions.intersect": {"tf": 2.23606797749979}, "sqlglot.expressions.except_": {"tf": 2.23606797749979}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.replace_placeholders": {"tf": 1.7320508075688772}, "sqlglot.expressions.expand": {"tf": 3.3166247903554}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.Scope.branch": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.Scan.from_expression": {"tf": 1.7320508075688772}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 120, "s": {"docs": {"sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "x": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.449489742783178}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}}, "df": 8, "/": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 14}}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}}, "df": 1}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4, "c": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.func": {"tf": 2}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 5, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 2}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.func": {"tf": 2.23606797749979}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_udtf": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 35, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 34}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dataframe.sql.Column.cast": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}}}}}}}}}, "g": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}}, "df": 3, "y": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 2}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"6": {"4": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1.7320508075688772}}, "df": 2}, "docs": {}, "df": 0}, "docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects": {"tf": 1}}, "df": 2}}, "r": {"docs": {}, "df": 0, "\u00e9": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.helper.flatten": {"tf": 1.4142135623730951}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "s": {"docs": {"sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}}, "df": 5}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "g": {"docs": {"sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}}, "df": 6}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3.1622776601683795}, "sqlglot.dataframe": {"tf": 3.4641016151377544}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 83}}, "l": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2}}, "df": 1}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3, "i": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.Predicate": {"tf": 1}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.to_interval": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}}, "df": 9}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.tokens.Token.__init__": {"tf": 1.4142135623730951}}, "df": 24, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.lineage.lineage": {"tf": 2}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.PythonExecutor.generate": {"tf": 1}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}}, "df": 8, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2.8284271247461903}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2.8284271247461903}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2.8284271247461903}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2.8284271247461903}}, "df": 24}}}}}, "t": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.transpile": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 2}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2}, "sqlglot.helper.ensure_collection": {"tf": 1.4142135623730951}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 3}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse": {"tf": 2}, "sqlglot.parser.Parser.parse_into": {"tf": 2}, "sqlglot.parser.Parser.raise_error": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}}, "df": 57, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "[": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}}, "df": 11}}}}}}, "b": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.limit": {"tf": 2.23606797749979}}, "df": 4, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "o": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.errors.ErrorLevel.WARN": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.dialects": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}}, "df": 4}}}}, "s": {"docs": {"sqlglot.parser.Parser.check_errors": {"tf": 1}}, "df": 1}}, "w": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1.7320508075688772}}, "df": 23}}}, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1}}, "df": 3}, "o": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}, "p": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 3}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 10}}, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 47}, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 2}}}}}}}, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 22}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.7320508075688772}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 5.196152422706632}}, "df": 1}}}, "f": {"docs": {"sqlglot.diff": {"tf": 6.324555320336759}, "sqlglot.expressions.Expression.text": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}}, "df": 4}}}, "n": {"docs": {"sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 2, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 25}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "s": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "x": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 9, "/": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}}, "df": 1}}}}}}}}}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}}, "df": 4}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45, "r": {"docs": {"sqlglot.expressions.condition": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 44}}, "b": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 2, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope": {"tf": 1.7320508075688772}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.optimizer.simplify.simplify_not": {"tf": 1}}, "df": 1}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "e": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3, "a": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 8, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1.4142135623730951}}, "df": 1}}, "c": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.helper.csv_reader": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "d": {"docs": {"sqlglot.helper.while_changing": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 4, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.env.null_if_any": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}}, "df": 2}}}}}}, "f": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}}, "df": 6, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 7}, "d": {"docs": {"sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 6}, "/": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}}}}}}}}}}}}}}}}}}}}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 2}}, "c": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}}, "df": 5, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 6}}}}}}}}, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}}}, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 1}}}}}, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Column.parts": {"tf": 1}, "sqlglot.expressions.Table.parts": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 12, "s": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.alias": {"tf": 1}, "sqlglot.expressions.Expression.copy": {"tf": 1}, "sqlglot.expressions.Expression.depth": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.parent_select": {"tf": 1}, "sqlglot.expressions.Expression.same_parent": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.unnest": {"tf": 1}, "sqlglot.expressions.Expression.unalias": {"tf": 1}, "sqlglot.expressions.Expression.unnest_operands": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.expressions.Subquery.unnest": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.union": {"tf": 1}, "sqlglot.expressions.intersect": {"tf": 1}, "sqlglot.expressions.except_": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.from_": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.delete": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.cast": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.column_table_names": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.4142135623730951}, "sqlglot.expressions.true": {"tf": 1}, "sqlglot.expressions.false": {"tf": 1}, "sqlglot.expressions.null": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.csv": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.find_new_name": {"tf": 1}, "sqlglot.helper.object_to_dict": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.helper.is_iterable": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.helper.first": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.Scope.tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ctes": {"tf": 1}, "sqlglot.optimizer.scope.Scope.derived_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope.udtfs": {"tf": 1}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.Scope.external_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.tokens.Tokenizer.tokenize": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 176}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Expression.load": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.to_column": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.serde.load": {"tf": 1}}, "df": 39}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 2}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}}, "df": 3}}}}}}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.simplify.simplify": {"tf": 1}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 12}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}}}, "p": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 3}}, "s": {"docs": {"sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 26}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4}}}}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 1}}, "df": 10, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}}, "df": 2}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 3}, "s": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.Column.cast": {"tf": 1}}, "df": 1}}}}}}}, "m": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.pop": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.remove_source": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}}, "df": 13, "d": {"docs": {"sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 4}, "s": {"docs": {"sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.transforms.remove_precision_parameterized_types": {"tf": 1}}, "df": 3}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.simplify.remove_compliments": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 2}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Predicate": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.camel_to_snake_case": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 10, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.parse": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 6}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 2}}}, "a": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}}, "df": 11}}}, "o": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}}, "df": 1}}}}}, "g": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}}, "df": 4, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}}, "df": 1}}}}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.helper.flatten": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "d": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.4142135623730951}}, "df": 2}}}}}, "u": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}, "n": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.rename_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.rename_source": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {"sqlglot.dataframe": {"tf": 2.449489742783178}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2, "s": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Expression.root": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.is_root": {"tf": 1}, "sqlglot.optimizer.scope.build_scope": {"tf": 1}}, "df": 5}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.errors.ErrorLevel.RAISE": {"tf": 1}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 46, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.parser.Parser.check_errors": {"tf": 1}, "sqlglot.parser.Parser.raise_error": {"tf": 1}}, "df": 5}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}}}, "w": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 25}, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 2}}, "k": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "j": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "u": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.executor.execute": {"tf": 1}}, "df": 5, "n": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 2}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}}, "df": 3}}}}, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.lineage.lineage": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 2}}, "df": 3}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "\u00e9": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 4}}}}}, "w": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 22}}, "o": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 4.58257569495584}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Dot.build": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.subquery": {"tf": 1}, "sqlglot.expressions.replace_children": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope.replace": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}, "sqlglot.parser.Parser.expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}, "sqlglot.tokens.Token.number": {"tf": 1}, "sqlglot.tokens.Token.string": {"tf": 1}, "sqlglot.tokens.Token.identifier": {"tf": 1}, "sqlglot.tokens.Token.var": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}}, "df": 48, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 5}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.executor.context.Context.__init__": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 5}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 2}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Unionable.union": {"tf": 1}, "sqlglot.expressions.Unionable.intersect": {"tf": 1}, "sqlglot.expressions.Unionable.except_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.expressions.Func": {"tf": 1.4142135623730951}, "sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.expressions.values": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.transforms.unalias_group": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 83}}, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.transforms.eliminate_distinct_on": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 3}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.8284271247461903}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.context.Context": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 3.605551275463989}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 3.605551275463989}, "sqlglot.diff": {"tf": 4}, "sqlglot.diff.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.ChangeDistiller": {"tf": 1}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 3.605551275463989}, "sqlglot.expressions": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1}, "sqlglot.expressions.to_table": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 3.605551275463989}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}}, "df": 53}}, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 3.4641016151377544}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.context.Context": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.transforms.remove_target_from_merge": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 53}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2}, "sqlglot.expressions.update": {"tf": 2}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 1.4142135623730951}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2}, "sqlglot.schema.nested_get": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1.4142135623730951}}, "df": 19}}, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.is_string": {"tf": 1}, "sqlglot.expressions.Expression.is_number": {"tf": 1}, "sqlglot.expressions.Expression.is_int": {"tf": 1}, "sqlglot.expressions.Expression.is_star": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.Union.is_star": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.is_star": {"tf": 1}, "sqlglot.expressions.Subquery.is_star": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1.4142135623730951}, "sqlglot.expressions.alias_": {"tf": 1.7320508075688772}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.empty": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 58}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}}}, "o": {"docs": {"sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot.executor": {"tf": 2}}, "df": 1}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 5}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2}}, "df": 4}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}, "p": {"docs": {"sqlglot.expressions.Condition.not_": {"tf": 1}, "sqlglot.expressions.not_": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}}, "df": 3, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.paren": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1.4142135623730951}}, "df": 12}}}, "s": {"docs": {"sqlglot.helper.ensure_list": {"tf": 1}, "sqlglot.helper.ensure_collection": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}}, "df": 23}, "e": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 2, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2.6457513110645907}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 6, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "l": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 5.5677643628300215}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 15, "l": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1.4142135623730951}}, "df": 3}}, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "\u2019": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 5, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 2}, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}, "k": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.helper.split_num_words": {"tf": 2.8284271247461903}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.expressions.TimeUnit": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.tokens.Token.var": {"tf": 1.4142135623730951}}, "df": 4, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}}}}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.var": {"tf": 1.4142135623730951}}, "df": 2, "s": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 2.23606797749979}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2, "d": {"docs": {"sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 1}, "s": {"docs": {"sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 1}}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.append": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.set": {"tf": 1.7320508075688772}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.convert": {"tf": 1.7320508075688772}, "sqlglot.helper.AutoName": {"tf": 1}, "sqlglot.helper.seq_get": {"tf": 1}, "sqlglot.helper.ensure_list": {"tf": 2.23606797749979}, "sqlglot.helper.ensure_collection": {"tf": 2.23606797749979}, "sqlglot.helper.split_num_words": {"tf": 2}, "sqlglot.helper.is_iterable": {"tf": 2}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 3.1622776601683795}, "sqlglot.trie.in_trie": {"tf": 1.7320508075688772}}, "df": 17, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}, "sqlglot.expressions.insert": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 2.6457513110645907}, "sqlglot.helper.split_num_words": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 10}}}}}, "e": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}}, "df": 2, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 2.23606797749979}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.7320508075688772}}, "df": 1}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "a": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "c": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1}}, "df": 2}}}}, "s": {"docs": {"sqlglot.executor.context.Context": {"tf": 1.4142135623730951}}, "df": 1}}}}}}, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "i": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "z": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.expressions.Expression.dfs": {"tf": 1}, "sqlglot.expressions.Expression.bfs": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 7}}, "b": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}}, "df": 3}}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 3}}}, "\u00e4": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 2.23606797749979}, "sqlglot.schema.AbstractMappingSchema": {"tf": 2.23606797749979}}, "df": 2}}, "g": {"docs": {"sqlglot.schema": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.schema.Schema.supported_table_args": {"tf": 1}}, "df": 6, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}}, "df": 5, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 2.23606797749979}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.walk": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.dfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.bfs": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1.4142135623730951}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.generator.cached_generator": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1.4142135623730951}}, "df": 39}}, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "d": {"docs": {"sqlglot.pretty": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "s": {"docs": {"sqlglot.generator.Generator.generate": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.expressions.Tag": {"tf": 1}}, "df": 3}}, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Func": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1}}}}}}}, "t": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.table_name": {"tf": 1}, "sqlglot.helper.dict_depth": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"tf": 1}, "sqlglot.optimizer.scope.Scope.source_columns": {"tf": 1}, "sqlglot.schema.Schema.column_names": {"tf": 1}, "sqlglot.schema.Schema.get_column_type": {"tf": 1}, "sqlglot.schema.MappingSchema.column_names": {"tf": 1}, "sqlglot.schema.MappingSchema.get_column_type": {"tf": 1}, "sqlglot.schema.nested_get": {"tf": 1.4142135623730951}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 16, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}}}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 3}, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "o": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2}}}}, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "m": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.helper.while_changing": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.should_identify": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1}, "sqlglot.time.format_time": {"tf": 1}}, "df": 45}}}, "t": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1, "h": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {"sqlglot": {"tf": 2.6457513110645907}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 5.656854249492381}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 2.449489742783178}, "sqlglot.expressions.Condition.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.intersect": {"tf": 2.449489742783178}, "sqlglot.expressions.Unionable.except_": {"tf": 2.449489742783178}, "sqlglot.expressions.Column.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Delete.delete": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.returning": {"tf": 1.7320508075688772}, "sqlglot.expressions.Identifier.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Insert.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Literal.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Join.on": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Union.select": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.group_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.order_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.sort_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.cluster_by": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.limit": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.offset": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lateral": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.join": {"tf": 3}, "sqlglot.expressions.Select.where": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.having": {"tf": 2.23606797749979}, "sqlglot.expressions.Select.distinct": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.ctas": {"tf": 1.7320508075688772}, "sqlglot.expressions.Select.lock": {"tf": 2.449489742783178}, "sqlglot.expressions.Subquery.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Star.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.Cast.output_name": {"tf": 3.4641016151377544}, "sqlglot.expressions.maybe_parse": {"tf": 2.449489742783178}, "sqlglot.expressions.union": {"tf": 1.7320508075688772}, "sqlglot.expressions.intersect": {"tf": 1.7320508075688772}, "sqlglot.expressions.except_": {"tf": 1.7320508075688772}, "sqlglot.expressions.select": {"tf": 1.7320508075688772}, "sqlglot.expressions.from_": {"tf": 1.7320508075688772}, "sqlglot.expressions.update": {"tf": 2.23606797749979}, "sqlglot.expressions.delete": {"tf": 2.23606797749979}, "sqlglot.expressions.insert": {"tf": 1.7320508075688772}, "sqlglot.expressions.condition": {"tf": 3.4641016151377544}, "sqlglot.expressions.and_": {"tf": 1.7320508075688772}, "sqlglot.expressions.or_": {"tf": 1.7320508075688772}, "sqlglot.expressions.not_": {"tf": 1.7320508075688772}, "sqlglot.expressions.paren": {"tf": 1.7320508075688772}, "sqlglot.expressions.alias_": {"tf": 2.449489742783178}, "sqlglot.expressions.subquery": {"tf": 1.7320508075688772}, "sqlglot.expressions.cast": {"tf": 1.7320508075688772}, "sqlglot.expressions.values": {"tf": 1.7320508075688772}, "sqlglot.expressions.var": {"tf": 2.449489742783178}, "sqlglot.expressions.column_table_names": {"tf": 2.449489742783178}, "sqlglot.expressions.table_name": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 2.449489742783178}, "sqlglot.expressions.expand": {"tf": 3}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3}, "sqlglot.helper.is_iterable": {"tf": 2.449489742783178}, "sqlglot.helper.flatten": {"tf": 2.449489742783178}, "sqlglot.helper.dict_depth": {"tf": 3.872983346207417}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 4}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 3.4641016151377544}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3.872983346207417}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 3}, "sqlglot.optimizer.normalize.normalize": {"tf": 3}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 3}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 3.4641016151377544}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 3.4641016151377544}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 4.242640687119285}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 3.872983346207417}, "sqlglot.optimizer.simplify.simplify": {"tf": 3}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 3}, "sqlglot.schema.nested_set": {"tf": 2.449489742783178}, "sqlglot.time.format_time": {"tf": 1.7320508075688772}, "sqlglot.transforms.unalias_group": {"tf": 2.449489742783178}, "sqlglot.trie.new_trie": {"tf": 1.7320508075688772}, "sqlglot.trie.in_trie": {"tf": 3}}, "df": 100}, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 2.6457513110645907}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unalias_group": {"tf": 2}}, "df": 13, "b": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 2.23606797749979}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "p": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.helper.tsort": {"tf": 1.7320508075688772}, "sqlglot.lineage.lineage": {"tf": 1}}, "df": 3}}, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}}, "df": 1}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 1}}}}}}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "z": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.helper.open_file": {"tf": 1}}, "df": 1}}}}, "q": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1, "u": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}, "c": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 2.8284271247461903}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}}, "df": 6}, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "y": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 29, "b": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "u": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 14.594519519326424}, "sqlglot.dataframe": {"tf": 10.392304845413264}, "sqlglot.dialects": {"tf": 5.385164807134504}, "sqlglot.diff": {"tf": 5.830951894845301}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.executor": {"tf": 3.7416573867739413}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.assert_is": {"tf": 2}, "sqlglot.expressions.Condition.and_": {"tf": 2}, "sqlglot.expressions.Condition.or_": {"tf": 2}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Unionable.union": {"tf": 2}, "sqlglot.expressions.Unionable.intersect": {"tf": 2}, "sqlglot.expressions.Unionable.except_": {"tf": 2}, "sqlglot.expressions.Column.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.delete": {"tf": 1.4142135623730951}, "sqlglot.expressions.Delete.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Delete.returning": {"tf": 2.449489742783178}, "sqlglot.expressions.Identifier.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Insert.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Literal.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2.449489742783178}, "sqlglot.expressions.Subqueryable.with_": {"tf": 2.8284271247461903}, "sqlglot.expressions.Union.limit": {"tf": 2}, "sqlglot.expressions.Union.select": {"tf": 2}, "sqlglot.expressions.Select.from_": {"tf": 2}, "sqlglot.expressions.Select.group_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.order_by": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.sort_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.cluster_by": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.limit": {"tf": 2}, "sqlglot.expressions.Select.offset": {"tf": 2}, "sqlglot.expressions.Select.select": {"tf": 2}, "sqlglot.expressions.Select.lateral": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.join": {"tf": 5.477225575051661}, "sqlglot.expressions.Select.where": {"tf": 2.8284271247461903}, "sqlglot.expressions.Select.having": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.distinct": {"tf": 2}, "sqlglot.expressions.Select.ctas": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.lock": {"tf": 4.47213595499958}, "sqlglot.expressions.Subquery.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Star.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Alias.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.Cast.output_name": {"tf": 2.449489742783178}, "sqlglot.expressions.maybe_parse": {"tf": 2}, "sqlglot.expressions.union": {"tf": 2}, "sqlglot.expressions.intersect": {"tf": 2}, "sqlglot.expressions.except_": {"tf": 2}, "sqlglot.expressions.select": {"tf": 2.449489742783178}, "sqlglot.expressions.from_": {"tf": 2.449489742783178}, "sqlglot.expressions.update": {"tf": 4}, "sqlglot.expressions.delete": {"tf": 2}, "sqlglot.expressions.insert": {"tf": 2}, "sqlglot.expressions.condition": {"tf": 3.1622776601683795}, "sqlglot.expressions.and_": {"tf": 2.449489742783178}, "sqlglot.expressions.or_": {"tf": 2.449489742783178}, "sqlglot.expressions.not_": {"tf": 2}, "sqlglot.expressions.paren": {"tf": 1.4142135623730951}, "sqlglot.expressions.values": {"tf": 1.4142135623730951}, "sqlglot.expressions.column_table_names": {"tf": 1.4142135623730951}, "sqlglot.expressions.table_name": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_tables": {"tf": 2.449489742783178}, "sqlglot.expressions.replace_placeholders": {"tf": 3.1622776601683795}, "sqlglot.expressions.expand": {"tf": 4}, "sqlglot.expressions.func": {"tf": 2.449489742783178}, "sqlglot.helper.split_num_words": {"tf": 3.4641016151377544}, "sqlglot.helper.is_iterable": {"tf": 1.4142135623730951}, "sqlglot.helper.flatten": {"tf": 1.4142135623730951}, "sqlglot.helper.dict_depth": {"tf": 3.1622776601683795}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 3.1622776601683795}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 2}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalization_distance": {"tf": 1.4142135623730951}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1.4142135623730951}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 2.8284271247461903}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 2.449489742783178}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify": {"tf": 1.4142135623730951}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_set": {"tf": 4.242640687119285}, "sqlglot.time.format_time": {"tf": 2.449489742783178}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2.449489742783178}, "sqlglot.trie.in_trie": {"tf": 3.4641016151377544}}, "df": 93, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 2}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 26, "d": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.diff.diff": {"tf": 2}, "sqlglot.expressions.maybe_parse": {"tf": 1}, "sqlglot.expressions.to_identifier": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 7}, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.expressions.column": {"tf": 1}, "sqlglot.expressions.table_": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}}, "df": 26}}}, "k": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}}, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.transforms.eliminate_qualify": {"tf": 1.7320508075688772}}, "df": 6, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.lineage.lineage": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1.4142135623730951}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.4142135623730951}}, "df": 4}}}}}}}}}, "y": {"docs": {"sqlglot": {"tf": 3.3166247903554}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 3.4641016151377544}, "sqlglot.expressions.Expression.replace": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 3.1622776601683795}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Kwarg": {"tf": 1}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 1}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 2}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 3}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.8284271247461903}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2}, "sqlglot.optimizer.scope.Scope": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.8284271247461903}, "sqlglot.planner.Step.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.Scan.from_expression": {"tf": 2.8284271247461903}, "sqlglot.planner.SetOperation.from_expression": {"tf": 2.8284271247461903}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 40, "o": {"docs": {}, "df": 0, "u": {"docs": {"sqlglot": {"tf": 2.23606797749979}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 2}, "sqlglot.executor": {"tf": 2}, "sqlglot.generator.Generator.generate": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}}, "df": 8, "r": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 4}}}, "y": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "y": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1}, "sqlglot.expressions.Expression.flatten": {"tf": 1}, "sqlglot.helper.csv_reader": {"tf": 1}, "sqlglot.helper.flatten": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.traverse": {"tf": 1}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}}, "df": 9}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "e": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot": {"tf": 1}}, "df": 1, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}}}, "e": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"tf": 1}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}, "sqlglot.transforms.explode_to_unnest": {"tf": 1}}, "df": 11}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "y": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.diff": {"tf": 3.7416573867739413}}, "df": 1, "g": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}}, "df": 1}}}}}}}}, "m": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1.4142135623730951}}, "df": 1}}}}, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 4, "e": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3}}}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor.context.Context": {"tf": 1}}, "df": 1}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}}, "df": 2}, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 20}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "p": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "q": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "o": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dialects.dialect.format_time_lambda": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.optimizer.qualify_columns.Resolver": {"tf": 1}}, "df": 3, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "f": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.expressions.condition": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 4}}}}}, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 2}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 2}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 2}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 2}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 2}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 2}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 2}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 2}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 2}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 2}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 2}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 2}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 2}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 2}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 2}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 2}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 2}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 2}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 2}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 2}, "sqlglot.executor.python.Python.Generator": {"tf": 2}, "sqlglot.generator.Generator": {"tf": 2}}, "df": 22}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}}}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 4.69041575982343}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}}, "df": 9, "n": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.executor": {"tf": 2}, "sqlglot.expressions.Select.having": {"tf": 1.7320508075688772}}, "df": 2}}}}, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.Insert": {"tf": 1}, "sqlglot.diff.Remove": {"tf": 1}, "sqlglot.diff.Move": {"tf": 1}, "sqlglot.diff.Update": {"tf": 1}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Expression.output_name": {"tf": 1}, "sqlglot.expressions.Column.output_name": {"tf": 1}, "sqlglot.expressions.Identifier.output_name": {"tf": 1}, "sqlglot.expressions.Literal.output_name": {"tf": 1}, "sqlglot.expressions.Subquery.output_name": {"tf": 1}, "sqlglot.expressions.Star.output_name": {"tf": 1}, "sqlglot.expressions.Alias.output_name": {"tf": 1}, "sqlglot.expressions.Cast.output_name": {"tf": 1}, "sqlglot.expressions.alias_": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 19, "n": {"docs": {"sqlglot.diff.Keep": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2, "\u2019": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.generator.Generator.generate": {"tf": 1.4142135623730951}}, "df": 2, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2}, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.union": {"tf": 1.4142135623730951}, "sqlglot.expressions.intersect": {"tf": 1.4142135623730951}, "sqlglot.expressions.except_": {"tf": 1.4142135623730951}}, "df": 3, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1}}, "df": 2}}, "w": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "f": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "p": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "u": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "\u2019": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "t": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "x": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "j": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1}}}}}, "d": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "v": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}, "o": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.transforms.eliminate_qualify": {"tf": 1}}, "df": 1}}}}, "w": {"docs": {}, "df": 0, "w": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 1}}}}}}}, ":": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "/": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "p": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "b": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 1}}}}}}}}}}}, "m": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.dataframe.sql.DataFrame.persist": {"tf": 1}, "sqlglot.lineage.LineageHTML": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1}}, "df": 4}}}}, "m": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 3, "a": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1}}, "df": 9, "b": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}}, "df": 1}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 2}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1.4142135623730951}, "sqlglot.diff": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.dialects": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.env.null_if_any": {"tf": 1}, "sqlglot.optimizer.lower_identities.lower_identities": {"tf": 1}}, "df": 4}, "u": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot.schema.nested_set": {"tf": 1}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}, "j": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}}, "p": {"docs": {"sqlglot.expressions.Func": {"tf": 1}}, "df": 1, "p": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1.4142135623730951}, "sqlglot.executor.table.Tables": {"tf": 1.7320508075688772}, "sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.replace_tables": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.4142135623730951}, "sqlglot.lineage.lineage": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.scope.Scope": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.cte_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.ref_count": {"tf": 1}, "sqlglot.schema.Schema.add_table": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema": {"tf": 1.7320508075688772}, "sqlglot.schema.MappingSchema.add_table": {"tf": 1.7320508075688772}, "sqlglot.time.format_time": {"tf": 1.4142135623730951}}, "df": 40, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 23}, "[": {"docs": {}, "df": 0, "k": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.replace_tables": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}}, "df": 2}}}, "s": {"docs": {"sqlglot.expressions.Expression": {"tf": 1}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 3, "t": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 6}, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.parser.Parser.validate_expression": {"tf": 1}}, "df": 2}}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.diff": {"tf": 2}, "sqlglot.expressions.Expression.find": {"tf": 1}, "sqlglot.expressions.Expression.find_all": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find_all": {"tf": 1.4142135623730951}}, "df": 7, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.expressions.Expression.find": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1.4142135623730951}}, "df": 3}, "d": {"docs": {"sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.diff": {"tf": 7.14142842854285}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.expressions.Expression.find_ancestor": {"tf": 1}, "sqlglot.optimizer.scope.Scope.find": {"tf": 1}}, "df": 4, "s": {"docs": {"sqlglot.diff": {"tf": 3}, "sqlglot.diff.diff": {"tf": 1}}, "df": 2}}}}}}, "t": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "i": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "h": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "x": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1.7320508075688772}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1.7320508075688772}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1.7320508075688772}, "sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor.python.Python.Generator": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.normalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 45, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}}, "df": 42}}, "a": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot.optimizer.normalize.normalize": {"tf": 1}}, "df": 1}}}}}, "r": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.diff.ChangeDistiller": {"tf": 1}}, "df": 2, "e": {"docs": {}, "df": 0, "z": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "e": {"docs": {"sqlglot.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 2, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "a": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dataframe": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "l": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.canonicalize.canonicalize": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.transforms.preprocess": {"tf": 1}}, "df": 48}}}, "r": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}}, "df": 1}}}}}, "s": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1.4142135623730951}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser": {"tf": 1.4142135623730951}}, "df": 20, "s": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Parser": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Parser": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Parser": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Parser": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Parser": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Parser": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Parser": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Parser": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Parser": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Parser": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Parser": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Parser": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Parser": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Parser": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression.error_messages": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.parser.Parser": {"tf": 1}, "sqlglot.parser.Parser.parse": {"tf": 1}, "sqlglot.parser.Parser.parse_into": {"tf": 1}}, "df": 46}}}}}}, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}}, "df": 1, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}}, "df": 1, "s": {"docs": {"sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 1}}}}}, "o": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "f": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.limit": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.ctas": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 26}, "i": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.Expression.transform": {"tf": 1}}, "df": 2}}}}}}}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Expression.transform": {"tf": 1}, "sqlglot.expressions.Delete.delete": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Delete.returning": {"tf": 1}, "sqlglot.expressions.Insert.with_": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Join.using": {"tf": 1}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1}, "sqlglot.expressions.Union.select": {"tf": 1}, "sqlglot.expressions.Select.from_": {"tf": 1}, "sqlglot.expressions.Select.group_by": {"tf": 1}, "sqlglot.expressions.Select.order_by": {"tf": 1}, "sqlglot.expressions.Select.sort_by": {"tf": 1}, "sqlglot.expressions.Select.cluster_by": {"tf": 1}, "sqlglot.expressions.Select.limit": {"tf": 1}, "sqlglot.expressions.Select.offset": {"tf": 1}, "sqlglot.expressions.Select.select": {"tf": 1}, "sqlglot.expressions.Select.lateral": {"tf": 1}, "sqlglot.expressions.Select.join": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.Select.distinct": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}}, "df": 23}}}}}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.expressions": {"tf": 1}, "sqlglot.helper.subclasses": {"tf": 1.4142135623730951}}, "df": 4}}}, "e": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.helper.open_file": {"tf": 1}}, "df": 24, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.dataframe": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.to_interval": {"tf": 1}}, "df": 1}}}, "p": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "v": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.1622776601683795}, "sqlglot.diff.diff": {"tf": 1}}, "df": 3, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2}}, "df": 1}}}}}, "d": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}}, "df": 1}}}, "z": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "r": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.6457513110645907}, "sqlglot.executor": {"tf": 2}, "sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.helper.apply_index_offset": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 8}, "a": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 4, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1}}, "df": 3}}}}, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}}, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.helper.split_num_words": {"tf": 1}}, "df": 2, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1}}, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "i": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.helper.split_num_words": {"tf": 1}}, "df": 1}}}}}, "m": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "c": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "x": {"docs": {"sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}}, "df": 1, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.dataframe.sql.DataFrame.orderBy": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.sort": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "s": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "s": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.optimizer.qualify_columns.qualify_columns": {"tf": 1}}, "df": 1}}}}}, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}}}}}}}, "g": {"docs": {}, "df": 0, "h": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 7}}}, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.schema.MappingSchema": {"tf": 1}}, "df": 1}}}}}, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}, "u": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "i": {"docs": {"sqlglot": {"tf": 1.4142135623730951}}, "df": 1, "p": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}, "e": {"docs": {"sqlglot.executor": {"tf": 1.7320508075688772}, "sqlglot.expressions.Condition.and_": {"tf": 1}, "sqlglot.expressions.Condition.or_": {"tf": 1}, "sqlglot.expressions.Delete.where": {"tf": 1}, "sqlglot.expressions.Join.on": {"tf": 1}, "sqlglot.expressions.Select.where": {"tf": 1}, "sqlglot.expressions.Select.having": {"tf": 1}, "sqlglot.expressions.select": {"tf": 1}, "sqlglot.expressions.and_": {"tf": 1}, "sqlglot.expressions.or_": {"tf": 1}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 11}}}}}}, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.diff.diff": {"tf": 1}, "sqlglot.planner.Step.from_expression": {"tf": 1}, "sqlglot.planner.Scan.from_expression": {"tf": 1}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1}}, "df": 5}}, "c": {"docs": {}, "df": 0, "h": {"docs": {"sqlglot.diff": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}}, "df": 2}}, "t": {"docs": {}, "df": 0, "u": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1}}, "df": 2}}}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}}}, "y": {"docs": {"sqlglot.diff": {"tf": 2.449489742783178}, "sqlglot.executor": {"tf": 2.23606797749979}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.delete": {"tf": 1.4142135623730951}}, "df": 4, "s": {"docs": {}, "df": 0, "q": {"docs": {}, "df": 0, "l": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.parse": {"tf": 1}, "sqlglot.parse_one": {"tf": 1}, "sqlglot.transpile": {"tf": 1.4142135623730951}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.executor.execute": {"tf": 1}, "sqlglot.expressions.Expression.sql": {"tf": 1}, "sqlglot.expressions.Select.lock": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 1}}, "df": 9}}, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "f": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 2.6457513110645907}}, "df": 1}}}}}, "j": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.executor": {"tf": 2.449489742783178}, "sqlglot.expressions.Join.on": {"tf": 2}, "sqlglot.expressions.Join.using": {"tf": 2}, "sqlglot.expressions.Select.join": {"tf": 3.872983346207417}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"tf": 1.7320508075688772}, "sqlglot.optimizer.scope.Scope.selected_sources": {"tf": 1}, "sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}, "sqlglot.planner.Step.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.Scan.from_expression": {"tf": 1.4142135623730951}, "sqlglot.planner.SetOperation.from_expression": {"tf": 1.4142135623730951}, "sqlglot.transforms.unnest_to_explode": {"tf": 1}}, "df": 18, "s": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.executor": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"tf": 1}, "sqlglot.optimizer.optimize_joins.normalize": {"tf": 1}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 1}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 1.4142135623730951}}, "df": 8}, "e": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.expressions.Select.join": {"tf": 1}}, "df": 1}}, "h": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.join_hints": {"tf": 1}}, "df": 1}}}}}}, "h": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "u": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "y": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "b": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}, "u": {"docs": {}, "df": 0, "s": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dataframe.sql.DataFrame.fillna": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"tf": 1}, "sqlglot.diff": {"tf": 2.23606797749979}, "sqlglot.executor": {"tf": 2.23606797749979}}, "df": 5}}, "n": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "c": {"docs": {}, "df": 0, "k": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}, "m": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "a": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 1}}, "df": 2}}}, "e": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}, "v": {"docs": {}, "df": 0, "m": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}, "s": {"docs": {"sqlglot.lineage.LineageHTML": {"tf": 1}}, "df": 1, "o": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.expressions.Expression.dump": {"tf": 1}, "sqlglot.serde.dump": {"tf": 1}}, "df": 2}}}}, "x": {"docs": {"sqlglot": {"tf": 4.898979485566356}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor": {"tf": 4.358898943540674}, "sqlglot.expressions.Expression.replace": {"tf": 1}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Condition.not_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Predicate": {"tf": 1.7320508075688772}, "sqlglot.expressions.Delete.where": {"tf": 2}, "sqlglot.expressions.Insert.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.on": {"tf": 1.4142135623730951}, "sqlglot.expressions.Join.using": {"tf": 1.4142135623730951}, "sqlglot.expressions.Subqueryable.subquery": {"tf": 2}, "sqlglot.expressions.Subqueryable.with_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.from_": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.group_by": {"tf": 2}, "sqlglot.expressions.Select.order_by": {"tf": 2}, "sqlglot.expressions.Select.sort_by": {"tf": 2}, "sqlglot.expressions.Select.cluster_by": {"tf": 2}, "sqlglot.expressions.Select.limit": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.offset": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.where": {"tf": 2.449489742783178}, "sqlglot.expressions.Select.having": {"tf": 2}, "sqlglot.expressions.Select.distinct": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.ctas": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lock": {"tf": 2.8284271247461903}, "sqlglot.expressions.Tag": {"tf": 1}, "sqlglot.expressions.maybe_parse": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.condition": {"tf": 2}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.subquery": {"tf": 2}, "sqlglot.expressions.cast": {"tf": 1.4142135623730951}, "sqlglot.expressions.var": {"tf": 2}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.annotate_types.annotate_types": {"tf": 1.7320508075688772}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 2.23606797749979}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 2.23606797749979}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"tf": 2.8284271247461903}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.449489742783178}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"tf": 2}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"tf": 2.23606797749979}, "sqlglot.optimizer.scope.Scope": {"tf": 2.6457513110645907}, "sqlglot.optimizer.scope.Scope.subqueries": {"tf": 1}, "sqlglot.optimizer.scope.Scope.selects": {"tf": 1}, "sqlglot.optimizer.scope.traverse_scope": {"tf": 2}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.7320508075688772}, "sqlglot.optimizer.simplify.simplify_not": {"tf": 2}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"tf": 2.449489742783178}, "sqlglot.planner.Step.from_expression": {"tf": 4}, "sqlglot.planner.Scan.from_expression": {"tf": 4}, "sqlglot.planner.SetOperation.from_expression": {"tf": 4}, "sqlglot.transforms.unalias_group": {"tf": 1.4142135623730951}}, "df": 62, "a": {"docs": {}, "df": 0, "v": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}, "z": {"docs": {"sqlglot": {"tf": 3}, "sqlglot.expressions.Expression.assert_is": {"tf": 1.4142135623730951}, "sqlglot.expressions.Union.select": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.lateral": {"tf": 1.4142135623730951}, "sqlglot.expressions.Select.join": {"tf": 1.4142135623730951}, "sqlglot.expressions.update": {"tf": 1.4142135623730951}, "sqlglot.expressions.and_": {"tf": 1.4142135623730951}, "sqlglot.expressions.or_": {"tf": 1.4142135623730951}, "sqlglot.expressions.expand": {"tf": 2.449489742783178}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"tf": 1.4142135623730951}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"tf": 1.4142135623730951}, "sqlglot.optimizer.normalize.normalize": {"tf": 1.7320508075688772}, "sqlglot.optimizer.normalize.distributive_law": {"tf": 2.23606797749979}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"tf": 2.449489742783178}, "sqlglot.optimizer.simplify.rewrite_between": {"tf": 1.4142135623730951}}, "df": 15, "e": {"docs": {}, "df": 0, "i": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "m": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "n": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}}}, "r": {"docs": {}, "df": 0, "o": {"docs": {"sqlglot.executor": {"tf": 1}}, "df": 1}}}}, "k": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "p": {"docs": {"sqlglot": {"tf": 1}, "sqlglot.diff": {"tf": 3.605551275463989}, "sqlglot.diff.diff": {"tf": 1.7320508075688772}, "sqlglot.executor": {"tf": 1}}, "df": 4}}, "y": {"docs": {"sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression": {"tf": 2}, "sqlglot.expressions.Expression.this": {"tf": 1}, "sqlglot.expressions.Expression.expression": {"tf": 1}, "sqlglot.expressions.Expression.expressions": {"tf": 1}, "sqlglot.expressions.Expression.text": {"tf": 1}, "sqlglot.expressions.Expression.append": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.set": {"tf": 1.4142135623730951}, "sqlglot.expressions.Expression.iter_expressions": {"tf": 1}, "sqlglot.expressions.Expression.walk": {"tf": 1}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.join_condition": {"tf": 1.4142135623730951}, "sqlglot.optimizer.scope.walk_in_scope": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}, "sqlglot.schema.nested_get": {"tf": 2}, "sqlglot.schema.nested_set": {"tf": 3.4641016151377544}, "sqlglot.trie.in_trie": {"tf": 2}}, "df": 38, "w": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.executor": {"tf": 1}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}, "sqlglot.trie.new_trie": {"tf": 1}, "sqlglot.trie.in_trie": {"tf": 1}}, "df": 5, "s": {"docs": {"sqlglot": {"tf": 1.4142135623730951}, "sqlglot.dialects": {"tf": 1.4142135623730951}, "sqlglot.trie.new_trie": {"tf": 2}}, "df": 3}}}}}, "s": {"docs": {"sqlglot.dataframe": {"tf": 1}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"tf": 1}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"tf": 1}, "sqlglot.dialects.databricks.Databricks.Generator": {"tf": 1}, "sqlglot.dialects.drill.Drill.Generator": {"tf": 1}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"tf": 1}, "sqlglot.dialects.hive.Hive.Generator": {"tf": 1}, "sqlglot.dialects.mysql.MySQL.Generator": {"tf": 1}, "sqlglot.dialects.oracle.Oracle.Generator": {"tf": 1}, "sqlglot.dialects.postgres.Postgres.Generator": {"tf": 1}, "sqlglot.dialects.presto.Presto.Generator": {"tf": 1}, "sqlglot.dialects.redshift.Redshift.Generator": {"tf": 1}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"tf": 1}, "sqlglot.dialects.spark.Spark.Generator": {"tf": 1}, "sqlglot.dialects.spark2.Spark2.Generator": {"tf": 1}, "sqlglot.dialects.sqlite.SQLite.Generator": {"tf": 1}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"tf": 1}, "sqlglot.dialects.tableau.Tableau.Generator": {"tf": 1}, "sqlglot.dialects.teradata.Teradata.Generator": {"tf": 1}, "sqlglot.dialects.trino.Trino.Generator": {"tf": 1}, "sqlglot.dialects.tsql.TSQL.Generator": {"tf": 1}, "sqlglot.diff": {"tf": 1}, "sqlglot.executor.python.Python.Generator": {"tf": 1}, "sqlglot.expressions.Expression": {"tf": 1.7320508075688772}, "sqlglot.generator.Generator": {"tf": 1}, "sqlglot.schema.nested_set": {"tf": 1.4142135623730951}}, "df": 26}, "e": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "r": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1}}, "df": 2}}}}, "d": {"docs": {"sqlglot.trie.new_trie": {"tf": 1}}, "df": 1}}}, "r": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "l": {"docs": {}, "df": 0, "s": {"docs": {"sqlglot": {"tf": 1}}, "df": 1}}}}}, "p": {"docs": {}, "df": 0, "t": {"docs": {"sqlglot.optimizer.scope.Scope.replace": {"tf": 1}}, "df": 1}}}, "a": {"docs": {}, "df": 0, "t": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.dataframe": {"tf": 1.7320508075688772}}, "df": 1}}}, "i": {"docs": {}, "df": 0, "n": {"docs": {}, "df": 0, "d": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1, "s": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}, "n": {"docs": {}, "df": 0, "o": {"docs": {}, "df": 0, "w": {"docs": {"sqlglot.diff": {"tf": 1}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"tf": 1}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1}}, "df": 3, "l": {"docs": {}, "df": 0, "e": {"docs": {}, "df": 0, "d": {"docs": {}, "df": 0, "g": {"docs": {}, "df": 0, "e": {"docs": {"sqlglot.diff": {"tf": 1}}, "df": 1}}}}}, "n": {"docs": {"sqlglot.diff.diff": {"tf": 1}}, "df": 1}}}}, "t": {"docs": {"sqlglot.executor.table.Tables": {"tf": 1.4142135623730951}, "sqlglot.schema.AbstractMappingSchema": {"tf": 1.4142135623730951}}, "df": 2}, "w": {"docs": {}, "df": 0, "a": {"docs": {}, "df": 0, "r": {"docs": {}, "df": 0, "g": {"docs": {"sqlglot.expressions.Kwarg": {"tf": 1.4142135623730951}}, "df": 1, "s": {"docs": {"sqlglot.expressions.to_table": {"tf": 1.4142135623730951}, "sqlglot.expressions.replace_placeholders": {"tf": 1}, "sqlglot.expressions.func": {"tf": 1.7320508075688772}, "sqlglot.optimizer.optimizer.optimize": {"tf": 1.4142135623730951}, "sqlglot.parser.Parser.expression": {"tf": 1}}, "df": 5}}}}}}}}}, "pipeline": ["trimmer"], "_isPrebuiltIndex": true}; // mirrored in build-search-index.js (part 1) // Also split on html tags. this is a cheap heuristic, but good enough. diff --git a/docs/sqlglot.html b/docs/sqlglot.html index ab63270894..0edd2e470d 100644 --- a/docs/sqlglot.html +++ b/docs/sqlglot.html @@ -711,155 +711,154 @@

Optional Dependencies

46from sqlglot.tokens import Tokenizer as Tokenizer, TokenType as TokenType 47 48if t.TYPE_CHECKING: - 49 from sqlglot.dialects.dialect import DialectType as DialectType - 50 - 51 T = t.TypeVar("T", bound=Expression) - 52 - 53logger = logging.getLogger("sqlglot") + 49 from sqlglot._typing import E + 50 from sqlglot.dialects.dialect import DialectType as DialectType + 51 + 52logger = logging.getLogger("sqlglot") + 53 54 - 55 - 56try: - 57 from sqlglot._version import __version__, __version_tuple__ - 58except ImportError: - 59 logger.error( - 60 "Unable to set __version__, run `pip install -e .` or `python setup.py develop` first." - 61 ) + 55try: + 56 from sqlglot._version import __version__, __version_tuple__ + 57except ImportError: + 58 logger.error( + 59 "Unable to set __version__, run `pip install -e .` or `python setup.py develop` first." + 60 ) + 61 62 - 63 - 64pretty = False - 65"""Whether to format generated SQL by default.""" - 66 - 67schema = MappingSchema() - 68"""The default schema used by SQLGlot (e.g. in the optimizer).""" + 63pretty = False + 64"""Whether to format generated SQL by default.""" + 65 + 66schema = MappingSchema() + 67"""The default schema used by SQLGlot (e.g. in the optimizer).""" + 68 69 - 70 - 71def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]: - 72 """ - 73 Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement. - 74 - 75 Args: - 76 sql: the SQL code string to parse. - 77 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). - 78 **opts: other `sqlglot.parser.Parser` options. - 79 - 80 Returns: - 81 The resulting syntax tree collection. - 82 """ - 83 dialect = Dialect.get_or_raise(read)() - 84 return dialect.parse(sql, **opts) + 70def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]: + 71 """ + 72 Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement. + 73 + 74 Args: + 75 sql: the SQL code string to parse. + 76 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). + 77 **opts: other `sqlglot.parser.Parser` options. + 78 + 79 Returns: + 80 The resulting syntax tree collection. + 81 """ + 82 dialect = Dialect.get_or_raise(read)() + 83 return dialect.parse(sql, **opts) + 84 85 - 86 - 87@t.overload - 88def parse_one( - 89 sql: str, - 90 read: None = None, - 91 into: t.Type[T] = ..., - 92 **opts, - 93) -> T: - 94 ... + 86@t.overload + 87def parse_one( + 88 sql: str, + 89 read: None = None, + 90 into: t.Type[E] = ..., + 91 **opts, + 92) -> E: + 93 ... + 94 95 - 96 - 97@t.overload - 98def parse_one( - 99 sql: str, -100 read: DialectType, -101 into: t.Type[T], -102 **opts, -103) -> T: -104 ... + 96@t.overload + 97def parse_one( + 98 sql: str, + 99 read: DialectType, +100 into: t.Type[E], +101 **opts, +102) -> E: +103 ... +104 105 -106 -107@t.overload -108def parse_one( -109 sql: str, -110 read: None = None, -111 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]] = ..., -112 **opts, -113) -> Expression: -114 ... +106@t.overload +107def parse_one( +108 sql: str, +109 read: None = None, +110 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]] = ..., +111 **opts, +112) -> Expression: +113 ... +114 115 -116 -117@t.overload -118def parse_one( -119 sql: str, -120 read: DialectType, -121 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]], -122 **opts, -123) -> Expression: -124 ... +116@t.overload +117def parse_one( +118 sql: str, +119 read: DialectType, +120 into: t.Union[str, t.Collection[t.Union[str, t.Type[Expression]]]], +121 **opts, +122) -> Expression: +123 ... +124 125 -126 -127@t.overload -128def parse_one( -129 sql: str, -130 **opts, -131) -> Expression: -132 ... +126@t.overload +127def parse_one( +128 sql: str, +129 **opts, +130) -> Expression: +131 ... +132 133 -134 -135def parse_one( -136 sql: str, -137 read: DialectType = None, -138 into: t.Optional[exp.IntoType] = None, -139 **opts, -140) -> Expression: -141 """ -142 Parses the given SQL string and returns a syntax tree for the first parsed SQL statement. -143 -144 Args: -145 sql: the SQL code string to parse. -146 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). -147 into: the SQLGlot Expression to parse into. -148 **opts: other `sqlglot.parser.Parser` options. -149 -150 Returns: -151 The syntax tree for the first parsed statement. -152 """ -153 -154 dialect = Dialect.get_or_raise(read)() -155 -156 if into: -157 result = dialect.parse_into(into, sql, **opts) -158 else: -159 result = dialect.parse(sql, **opts) -160 -161 for expression in result: -162 if not expression: -163 raise ParseError(f"No expression was parsed from '{sql}'") -164 return expression -165 else: -166 raise ParseError(f"No expression was parsed from '{sql}'") +134def parse_one( +135 sql: str, +136 read: DialectType = None, +137 into: t.Optional[exp.IntoType] = None, +138 **opts, +139) -> Expression: +140 """ +141 Parses the given SQL string and returns a syntax tree for the first parsed SQL statement. +142 +143 Args: +144 sql: the SQL code string to parse. +145 read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql"). +146 into: the SQLGlot Expression to parse into. +147 **opts: other `sqlglot.parser.Parser` options. +148 +149 Returns: +150 The syntax tree for the first parsed statement. +151 """ +152 +153 dialect = Dialect.get_or_raise(read)() +154 +155 if into: +156 result = dialect.parse_into(into, sql, **opts) +157 else: +158 result = dialect.parse(sql, **opts) +159 +160 for expression in result: +161 if not expression: +162 raise ParseError(f"No expression was parsed from '{sql}'") +163 return expression +164 else: +165 raise ParseError(f"No expression was parsed from '{sql}'") +166 167 -168 -169def transpile( -170 sql: str, -171 read: DialectType = None, -172 write: DialectType = None, -173 identity: bool = True, -174 error_level: t.Optional[ErrorLevel] = None, -175 **opts, -176) -> t.List[str]: -177 """ -178 Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed -179 to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement. -180 -181 Args: -182 sql: the SQL code string to transpile. -183 read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql"). -184 write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql"). -185 identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both: -186 the source and the target dialect. -187 error_level: the desired error level of the parser. -188 **opts: other `sqlglot.generator.Generator` options. -189 -190 Returns: -191 The list of transpiled SQL statements. -192 """ -193 write = (read if write is None else write) if identity else write -194 return [ -195 Dialect.get_or_raise(write)().generate(expression, **opts) -196 for expression in parse(sql, read, error_level=error_level) -197 ] +168def transpile( +169 sql: str, +170 read: DialectType = None, +171 write: DialectType = None, +172 identity: bool = True, +173 error_level: t.Optional[ErrorLevel] = None, +174 **opts, +175) -> t.List[str]: +176 """ +177 Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed +178 to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement. +179 +180 Args: +181 sql: the SQL code string to transpile. +182 read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql"). +183 write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql"). +184 identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both: +185 the source and the target dialect. +186 error_level: the desired error level of the parser. +187 **opts: other `sqlglot.generator.Generator` options. +188 +189 Returns: +190 The list of transpiled SQL statements. +191 """ +192 write = (read if write is None else write) if identity else write +193 return [ +194 Dialect.get_or_raise(write)().generate(expression, **opts) +195 for expression in parse(sql, read, error_level=error_level) +196 ] @@ -903,20 +902,20 @@

Optional Dependencies

- 
72def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]:
-73    """
-74    Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.
-75
-76    Args:
-77        sql: the SQL code string to parse.
-78        read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql").
-79        **opts: other `sqlglot.parser.Parser` options.
-80
-81    Returns:
-82        The resulting syntax tree collection.
-83    """
-84    dialect = Dialect.get_or_raise(read)()
-85    return dialect.parse(sql, **opts)
+            
71def parse(sql: str, read: DialectType = None, **opts) -> t.List[t.Optional[Expression]]:
+72    """
+73    Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.
+74
+75    Args:
+76        sql: the SQL code string to parse.
+77        read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql").
+78        **opts: other `sqlglot.parser.Parser` options.
+79
+80    Returns:
+81        The resulting syntax tree collection.
+82    """
+83    dialect = Dialect.get_or_raise(read)()
+84    return dialect.parse(sql, **opts)
 

 
 
@@ -950,38 +949,38 @@ 
Returns:
- 
136def parse_one(
-137    sql: str,
-138    read: DialectType = None,
-139    into: t.Optional[exp.IntoType] = None,
-140    **opts,
-141) -> Expression:
-142    """
-143    Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.
-144
-145    Args:
-146        sql: the SQL code string to parse.
-147        read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql").
-148        into: the SQLGlot Expression to parse into.
-149        **opts: other `sqlglot.parser.Parser` options.
-150
-151    Returns:
-152        The syntax tree for the first parsed statement.
-153    """
-154
-155    dialect = Dialect.get_or_raise(read)()
-156
-157    if into:
-158        result = dialect.parse_into(into, sql, **opts)
-159    else:
-160        result = dialect.parse(sql, **opts)
-161
-162    for expression in result:
-163        if not expression:
-164            raise ParseError(f"No expression was parsed from '{sql}'")
-165        return expression
-166    else:
-167        raise ParseError(f"No expression was parsed from '{sql}'")
+            
135def parse_one(
+136    sql: str,
+137    read: DialectType = None,
+138    into: t.Optional[exp.IntoType] = None,
+139    **opts,
+140) -> Expression:
+141    """
+142    Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.
+143
+144    Args:
+145        sql: the SQL code string to parse.
+146        read: the SQL dialect to apply during parsing (eg. "spark", "hive", "presto", "mysql").
+147        into: the SQLGlot Expression to parse into.
+148        **opts: other `sqlglot.parser.Parser` options.
+149
+150    Returns:
+151        The syntax tree for the first parsed statement.
+152    """
+153
+154    dialect = Dialect.get_or_raise(read)()
+155
+156    if into:
+157        result = dialect.parse_into(into, sql, **opts)
+158    else:
+159        result = dialect.parse(sql, **opts)
+160
+161    for expression in result:
+162        if not expression:
+163            raise ParseError(f"No expression was parsed from '{sql}'")
+164        return expression
+165    else:
+166        raise ParseError(f"No expression was parsed from '{sql}'")
 

 
 
@@ -1016,35 +1015,35 @@ 
Returns:
- 
170def transpile(
-171    sql: str,
-172    read: DialectType = None,
-173    write: DialectType = None,
-174    identity: bool = True,
-175    error_level: t.Optional[ErrorLevel] = None,
-176    **opts,
-177) -> t.List[str]:
-178    """
-179    Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed
-180    to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.
-181
-182    Args:
-183        sql: the SQL code string to transpile.
-184        read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql").
-185        write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql").
-186        identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both:
-187            the source and the target dialect.
-188        error_level: the desired error level of the parser.
-189        **opts: other `sqlglot.generator.Generator` options.
-190
-191    Returns:
-192        The list of transpiled SQL statements.
-193    """
-194    write = (read if write is None else write) if identity else write
-195    return [
-196        Dialect.get_or_raise(write)().generate(expression, **opts)
-197        for expression in parse(sql, read, error_level=error_level)
-198    ]
+            
169def transpile(
+170    sql: str,
+171    read: DialectType = None,
+172    write: DialectType = None,
+173    identity: bool = True,
+174    error_level: t.Optional[ErrorLevel] = None,
+175    **opts,
+176) -> t.List[str]:
+177    """
+178    Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed
+179    to conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.
+180
+181    Args:
+182        sql: the SQL code string to transpile.
+183        read: the source dialect used to parse the input string (eg. "spark", "hive", "presto", "mysql").
+184        write: the target dialect into which the input should be transformed (eg. "spark", "hive", "presto", "mysql").
+185        identity: if set to `True` and if the target dialect is not specified the source dialect will be used as both:
+186            the source and the target dialect.
+187        error_level: the desired error level of the parser.
+188        **opts: other `sqlglot.generator.Generator` options.
+189
+190    Returns:
+191        The list of transpiled SQL statements.
+192    """
+193    write = (read if write is None else write) if identity else write
+194    return [
+195        Dialect.get_or_raise(write)().generate(expression, **opts)
+196        for expression in parse(sql, read, error_level=error_level)
+197    ]
 

 
 
diff --git a/docs/sqlglot/_typing.html b/docs/sqlglot/_typing.html
new file mode 100644
index 0000000000..02f6fcf5eb
--- /dev/null
+++ b/docs/sqlglot/_typing.html
@@ -0,0 +1,251 @@
+
+
+
+    
+    
+    
+    sqlglot._typing API documentation
+
+    
+    
+    
+    
+    
+    
+
+    
+    

+            

+                        Edit on GitHub
+                    

+sqlglot._typing    

+
+                
+                        
+
+                        
+
+                        
1from __future__ import annotations
+2
+3import typing as t
+4
+5import sqlglot
+6
+7E = t.TypeVar("E", bound="sqlglot.exp.Expression")
+8T = t.TypeVar("T")
+

+
+
+            

+    

+
+
\ No newline at end of file
diff --git a/docs/sqlglot/_version.html b/docs/sqlglot/_version.html
index 8c005cd8ee..c891359845 100644
--- a/docs/sqlglot/_version.html
+++ b/docs/sqlglot/_version.html
@@ -51,8 +51,8 @@ 

 
                         
1# file generated by setuptools_scm
 2# don't change, don't track in version control
-3__version__ = version = '14.0.0'
-4__version_tuple__ = version_tuple = (14, 0, 0)
+3__version__ = version = '14.1.0'
+4__version_tuple__ = version_tuple = (14, 1, 0)
 

 
 
diff --git a/docs/sqlglot/dataframe/sql.html b/docs/sqlglot/dataframe/sql.html
index 4dab532b23..e300164758 100644
--- a/docs/sqlglot/dataframe/sql.html
+++ b/docs/sqlglot/dataframe/sql.html
@@ -606,7 +606,7 @@ 

 

             
         def
-        createDataFrame(	self,	data: Sequence[Union[Dict[str, <MagicMock id='139671827690976'>], List[<MagicMock id='139671827690976'>], Tuple]],	schema: Optional[<MagicMock id='139671840984608'>] = None,	samplingRatio: Optional[float] = None,	verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame:
+        createDataFrame(	self,	data: Sequence[Union[Dict[str, <MagicMock id='139944835126832'>], List[<MagicMock id='139944835126832'>], Tuple]],	schema: Optional[<MagicMock id='139944834452688'>] = None,	samplingRatio: Optional[float] = None,	verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame:
 
                 
 
@@ -1509,7 +1509,7 @@ 

                                         
 

             
-        DataFrame(	spark: <MagicMock id='139671831764400'>,	expression: sqlglot.expressions.Select,	branch_id: Optional[str] = None,	sequence_id: Optional[str] = None,	last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,	pending_hints: Optional[List[sqlglot.expressions.Expression]] = None,	output_expression_container: Optional[<MagicMock id='139671830530368'>] = None,	**kwargs)
+        DataFrame(	spark: <MagicMock id='139944839647760'>,	expression: sqlglot.expressions.Select,	branch_id: Optional[str] = None,	sequence_id: Optional[str] = None,	last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,	pending_hints: Optional[List[sqlglot.expressions.Expression]] = None,	output_expression_container: Optional[<MagicMock id='139944839539024'>] = None,	**kwargs)
 
                 
 
@@ -2284,7 +2284,7 @@ 

                     
@operation(Operation.FROM)

 
         def
-        fillna(	self,	value: <MagicMock id='139671826015632'>,	subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
+        fillna(	self,	value: <MagicMock id='139944834944544'>,	subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
 
                 
 
@@ -2353,7 +2353,7 @@ 

                     
@operation(Operation.FROM)

 
         def
-        replace(	self,	to_replace: Union[bool, int, float, str, List, Dict],	value: Union[bool, int, float, str, List, NoneType] = None,	subset: Union[Collection[<MagicMock id='139671826444688'>], <MagicMock id='139671826444688'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
+        replace(	self,	to_replace: Union[bool, int, float, str, List, Dict],	value: Union[bool, int, float, str, List, NoneType] = None,	subset: Union[Collection[<MagicMock id='139944835455424'>], <MagicMock id='139944835455424'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
 
                 
 
@@ -2558,7 +2558,7 @@ 

                     
@operation(Operation.NO_OP)

 
         def
-        repartition(	self,	numPartitions: Union[int, <MagicMock id='139671826616032'>],	*cols: <MagicMock id='139671825890416'>) -> sqlglot.dataframe.sql.DataFrame:
+        repartition(	self,	numPartitions: Union[int, <MagicMock id='139944833861712'>],	*cols: <MagicMock id='139944833506496'>) -> sqlglot.dataframe.sql.DataFrame:
 
                 
 
@@ -3226,7 +3226,7 @@ 

                                         
 

             
-        Column(	expression: Union[<MagicMock id='139671828506144'>, sqlglot.expressions.Expression, NoneType])
+        Column(	expression: Union[<MagicMock id='139944837503088'>, sqlglot.expressions.Expression, NoneType])
 
                 
 
@@ -3254,7 +3254,7 @@ 

                     
@classmethod

 
         def
-        ensure_col(	cls,	value: Union[<MagicMock id='139671824607472'>, sqlglot.expressions.Expression, NoneType]):
+        ensure_col(	cls,	value: Union[<MagicMock id='139944833635072'>, sqlglot.expressions.Expression, NoneType]):
 
                 
 
@@ -3275,7 +3275,7 @@ 

                     
@classmethod

 
         def
-        ensure_cols(	cls,	args: List[Union[<MagicMock id='139671824944912'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]:
+        ensure_cols(	cls,	args: List[Union[<MagicMock id='139944833625840'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]:
 
                 
 
@@ -3296,7 +3296,7 @@ 

                     
@classmethod

 
         def
-        invoke_anonymous_function(	cls,	column: Optional[<MagicMock id='139671824684208'>],	func_name: str,	*args: Optional[<MagicMock id='139671824723552'>]) -> sqlglot.dataframe.sql.Column:
+        invoke_anonymous_function(	cls,	column: Optional[<MagicMock id='139944833889472'>],	func_name: str,	*args: Optional[<MagicMock id='139944833831248'>]) -> sqlglot.dataframe.sql.Column:
 
                 
 
@@ -3323,7 +3323,7 @@ 

                     
@classmethod

 
         def
-        invoke_expression_over_column(	cls,	column: Optional[<MagicMock id='139671824637840'>],	callable_expression: Callable,	**kwargs) -> sqlglot.dataframe.sql.Column:
+        invoke_expression_over_column(	cls,	column: Optional[<MagicMock id='139944833798480'>],	callable_expression: Callable,	**kwargs) -> sqlglot.dataframe.sql.Column:
 
                 
 
@@ -3360,7 +3360,7 @@ 

 

             
         def
-        binary_op(	self,	klass: Callable,	other: <MagicMock id='139671824928672'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
+        binary_op(	self,	klass: Callable,	other: <MagicMock id='139944833757104'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
 
                 
 
@@ -3381,7 +3381,7 @@ 

 

             
         def
-        inverse_binary_op(	self,	klass: Callable,	other: <MagicMock id='139671824938800'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
+        inverse_binary_op(	self,	klass: Callable,	other: <MagicMock id='139944833997728'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
 
                 
 
@@ -3891,7 +3891,7 @@ 

 

             
         def
-        isin(	self,	*cols: Union[<MagicMock id='139671825238192'>, Iterable[<MagicMock id='139671825238192'>]]):
+        isin(	self,	*cols: Union[<MagicMock id='139944834167040'>, Iterable[<MagicMock id='139944834167040'>]]):
 
                 
 
@@ -3912,7 +3912,7 @@ 

 

             
         def
-        between(	self,	lowerBound: <MagicMock id='139671825325248'>,	upperBound: <MagicMock id='139671825363344'>) -> sqlglot.dataframe.sql.Column:
+        between(	self,	lowerBound: <MagicMock id='139944834268368'>,	upperBound: <MagicMock id='139944834339296'>) -> sqlglot.dataframe.sql.Column:
 
                 
 
@@ -3947,7 +3947,7 @@ 

 

             
         def
-        over(	self,	window: <MagicMock id='139671825421056'>) -> sqlglot.dataframe.sql.Column:
+        over(	self,	window: <MagicMock id='139944834396896'>) -> sqlglot.dataframe.sql.Column:
 
                 
 
@@ -4145,7 +4145,7 @@ 

                     
@classmethod

 
         def
-        partitionBy(	cls,	*cols: Union[<MagicMock id='139671825537808'>, List[<MagicMock id='139671825537808'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        partitionBy(	cls,	*cols: Union[<MagicMock id='139944831329920'>, List[<MagicMock id='139944831329920'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
@@ -4166,7 +4166,7 @@ 

                     
@classmethod

 
         def
-        orderBy(	cls,	*cols: Union[<MagicMock id='139671825477936'>, List[<MagicMock id='139671825477936'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        orderBy(	cls,	*cols: Union[<MagicMock id='139944831472000'>, List[<MagicMock id='139944831472000'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
@@ -4391,7 +4391,7 @@ 

 

             
         def
-        partitionBy(	self,	*cols: Union[<MagicMock id='139671823629328'>, List[<MagicMock id='139671823629328'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        partitionBy(	self,	*cols: Union[<MagicMock id='139944831606480'>, List[<MagicMock id='139944831606480'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
@@ -4418,7 +4418,7 @@ 

 

             
         def
-        orderBy(	self,	*cols: Union[<MagicMock id='139671823794864'>, List[<MagicMock id='139671823794864'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        orderBy(	self,	*cols: Union[<MagicMock id='139944831672544'>, List[<MagicMock id='139944831672544'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
diff --git a/docs/sqlglot/dialects/bigquery.html b/docs/sqlglot/dialects/bigquery.html
index a0a43e07b1..fdc370de81 100644
--- a/docs/sqlglot/dialects/bigquery.html
+++ b/docs/sqlglot/dialects/bigquery.html
@@ -93,146 +93,146 @@ 
API Documentation

     

             

                         Edit on GitHub
-                
-                        
Supports BigQuery Standard SQL.

-

+                    

+sqlglot.dialects.bigquery    

 
+                
                         
 
                         
 
-                        
  1"""Supports BigQuery Standard SQL."""
+                        
  1from __future__ import annotations
   2
-  3from __future__ import annotations
-  4
-  5import re
-  6import typing as t
-  7
-  8from sqlglot import exp, generator, parser, tokens, transforms
-  9from sqlglot.dialects.dialect import (
- 10    Dialect,
- 11    datestrtodate_sql,
- 12    inline_array_sql,
- 13    max_or_greatest,
- 14    min_or_least,
- 15    no_ilike_sql,
- 16    parse_date_delta_with_interval,
- 17    rename_func,
- 18    timestrtotime_sql,
- 19    ts_or_ds_to_date_sql,
- 20)
- 21from sqlglot.helper import seq_get, split_num_words
- 22from sqlglot.tokens import TokenType
- 23
- 24E = t.TypeVar("E", bound=exp.Expression)
- 25
- 26
- 27def _date_add_sql(
- 28    data_type: str, kind: str
- 29) -> t.Callable[[generator.Generator, exp.Expression], str]:
- 30    def func(self, expression):
- 31        this = self.sql(expression, "this")
- 32        unit = expression.args.get("unit")
- 33        unit = exp.var(unit.name.upper() if unit else "DAY")
- 34        interval = exp.Interval(this=expression.expression, unit=unit)
- 35        return f"{data_type}_{kind}({this}, {self.sql(interval)})"
- 36
- 37    return func
- 38
+  3import re
+  4import typing as t
+  5
+  6from sqlglot import exp, generator, parser, tokens, transforms
+  7from sqlglot.dialects.dialect import (
+  8    Dialect,
+  9    datestrtodate_sql,
+ 10    inline_array_sql,
+ 11    max_or_greatest,
+ 12    min_or_least,
+ 13    no_ilike_sql,
+ 14    parse_date_delta_with_interval,
+ 15    rename_func,
+ 16    timestrtotime_sql,
+ 17    ts_or_ds_to_date_sql,
+ 18)
+ 19from sqlglot.helper import seq_get, split_num_words
+ 20from sqlglot.tokens import TokenType
+ 21
+ 22
+ 23def _date_add_sql(
+ 24    data_type: str, kind: str
+ 25) -> t.Callable[[generator.Generator, exp.Expression], str]:
+ 26    def func(self, expression):
+ 27        this = self.sql(expression, "this")
+ 28        unit = expression.args.get("unit")
+ 29        unit = exp.var(unit.name.upper() if unit else "DAY")
+ 30        interval = exp.Interval(this=expression.expression, unit=unit)
+ 31        return f"{data_type}_{kind}({this}, {self.sql(interval)})"
+ 32
+ 33    return func
+ 34
+ 35
+ 36def _derived_table_values_to_unnest(self: generator.Generator, expression: exp.Values) -> str:
+ 37    if not isinstance(expression.unnest().parent, exp.From):
+ 38        return self.values_sql(expression)
  39
- 40def _derived_table_values_to_unnest(self: generator.Generator, expression: exp.Values) -> str:
- 41    if not isinstance(expression.unnest().parent, exp.From):
- 42        return self.values_sql(expression)
- 43
- 44    alias = expression.args.get("alias")
- 45
- 46    structs = [
- 47        exp.Struct(
- 48            expressions=[
- 49                exp.alias_(value, column_name)
- 50                for value, column_name in zip(
- 51                    t.expressions,
- 52                    alias.columns
- 53                    if alias and alias.columns
- 54                    else (f"_c{i}" for i in range(len(t.expressions))),
- 55                )
- 56            ]
- 57        )
- 58        for t in expression.find_all(exp.Tuple)
- 59    ]
- 60
- 61    return self.unnest_sql(exp.Unnest(expressions=[exp.Array(expressions=structs)]))
- 62
- 63
- 64def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str:
- 65    this = expression.this
- 66    if isinstance(this, exp.Schema):
- 67        this = f"{this.this} <{self.expressions(this)}>"
- 68    else:
- 69        this = self.sql(this)
- 70    return f"RETURNS {this}"
- 71
- 72
- 73def _create_sql(self: generator.Generator, expression: exp.Create) -> str:
- 74    kind = expression.args["kind"]
- 75    returns = expression.find(exp.ReturnsProperty)
- 76    if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"):
- 77        expression = expression.copy()
- 78        expression.set("kind", "TABLE FUNCTION")
- 79        if isinstance(
- 80            expression.expression,
- 81            (
- 82                exp.Subquery,
- 83                exp.Literal,
- 84            ),
- 85        ):
- 86            expression.set("expression", expression.expression.this)
+ 40    alias = expression.args.get("alias")
+ 41
+ 42    structs = [
+ 43        exp.Struct(
+ 44            expressions=[
+ 45                exp.alias_(value, column_name)
+ 46                for value, column_name in zip(
+ 47                    t.expressions,
+ 48                    alias.columns
+ 49                    if alias and alias.columns
+ 50                    else (f"_c{i}" for i in range(len(t.expressions))),
+ 51                )
+ 52            ]
+ 53        )
+ 54        for t in expression.find_all(exp.Tuple)
+ 55    ]
+ 56
+ 57    return self.unnest_sql(exp.Unnest(expressions=[exp.Array(expressions=structs)]))
+ 58
+ 59
+ 60def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str:
+ 61    this = expression.this
+ 62    if isinstance(this, exp.Schema):
+ 63        this = f"{this.this} <{self.expressions(this)}>"
+ 64    else:
+ 65        this = self.sql(this)
+ 66    return f"RETURNS {this}"
+ 67
+ 68
+ 69def _create_sql(self: generator.Generator, expression: exp.Create) -> str:
+ 70    kind = expression.args["kind"]
+ 71    returns = expression.find(exp.ReturnsProperty)
+ 72    if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"):
+ 73        expression = expression.copy()
+ 74        expression.set("kind", "TABLE FUNCTION")
+ 75        if isinstance(
+ 76            expression.expression,
+ 77            (
+ 78                exp.Subquery,
+ 79                exp.Literal,
+ 80            ),
+ 81        ):
+ 82            expression.set("expression", expression.expression.this)
+ 83
+ 84        return self.create_sql(expression)
+ 85
+ 86    return self.create_sql(expression)
  87
- 88        return self.create_sql(expression)
- 89
- 90    return self.create_sql(expression)
+ 88
+ 89def _unqualify_unnest(expression: exp.Expression) -> exp.Expression:
+ 90    """Remove references to unnest table aliases since bigquery doesn't allow them.
  91
- 92
- 93def _unqualify_unnest(expression: exp.Expression) -> exp.Expression:
- 94    """Remove references to unnest table aliases since bigquery doesn't allow them.
- 95
- 96    These are added by the optimizer's qualify_column step.
- 97    """
- 98    if isinstance(expression, exp.Select):
- 99        for unnest in expression.find_all(exp.Unnest):
-100            if isinstance(unnest.parent, (exp.From, exp.Join)) and unnest.alias:
-101                for select in expression.selects:
-102                    for column in select.find_all(exp.Column):
-103                        if column.table == unnest.alias:
-104                            column.set("table", None)
-105
-106    return expression
-107
-108
-109class BigQuery(Dialect):
-110    unnest_column_only = True
-111    time_mapping = {
-112        "%M": "%-M",
-113        "%d": "%-d",
-114        "%m": "%-m",
-115        "%y": "%-y",
-116        "%H": "%-H",
-117        "%I": "%-I",
-118        "%S": "%-S",
-119        "%j": "%-j",
-120    }
-121
-122    class Tokenizer(tokens.Tokenizer):
-123        QUOTES = [
-124            (prefix + quote, quote) if prefix else quote
-125            for quote in ["'", '"', '"""', "'''"]
-126            for prefix in ["", "r", "R"]
-127        ]
-128        COMMENTS = ["--", "#", ("/*", "*/")]
-129        IDENTIFIERS = ["`"]
-130        STRING_ESCAPES = ["\\"]
-131        HEX_STRINGS = [("0x", ""), ("0X", "")]
-132        BYTE_STRINGS = [("b'", "'"), ("B'", "'")]
+ 92    These are added by the optimizer's qualify_column step.
+ 93    """
+ 94    if isinstance(expression, exp.Select):
+ 95        for unnest in expression.find_all(exp.Unnest):
+ 96            if isinstance(unnest.parent, (exp.From, exp.Join)) and unnest.alias:
+ 97                for select in expression.selects:
+ 98                    for column in select.find_all(exp.Column):
+ 99                        if column.table == unnest.alias:
+100                            column.set("table", None)
+101
+102    return expression
+103
+104
+105class BigQuery(Dialect):
+106    unnest_column_only = True
+107    time_mapping = {
+108        "%M": "%-M",
+109        "%d": "%-d",
+110        "%m": "%-m",
+111        "%y": "%-y",
+112        "%H": "%-H",
+113        "%I": "%-I",
+114        "%S": "%-S",
+115        "%j": "%-j",
+116    }
+117
+118    class Tokenizer(tokens.Tokenizer):
+119        QUOTES = ["'", '"', '"""', "'''"]
+120        COMMENTS = ["--", "#", ("/*", "*/")]
+121        IDENTIFIERS = ["`"]
+122        STRING_ESCAPES = ["\\"]
+123
+124        HEX_STRINGS = [("0x", ""), ("0X", "")]
+125
+126        BYTE_STRINGS = [
+127            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
+128        ]
+129
+130        RAW_STRINGS = [
+131            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
+132        ]
 133
 134        KEYWORDS = {
 135            **tokens.Tokenizer.KEYWORDS,
@@ -385,80 +385,81 @@ 
API Documentation

 282            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
 283            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
 284            exp.TimeStrToTime: timestrtotime_sql,
-285            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-286            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
-287            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-288            exp.VariancePop: rename_func("VAR_POP"),
-289            exp.Values: _derived_table_values_to_unnest,
-290            exp.ReturnsProperty: _returnsproperty_sql,
-291            exp.Create: _create_sql,
-292            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-293            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
-294            if e.name == "IMMUTABLE"
-295            else "NOT DETERMINISTIC",
-296            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-297        }
-298
-299        TYPE_MAPPING = {
-300            **generator.Generator.TYPE_MAPPING,
-301            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
-302            exp.DataType.Type.BIGINT: "INT64",
-303            exp.DataType.Type.BINARY: "BYTES",
-304            exp.DataType.Type.BOOLEAN: "BOOL",
-305            exp.DataType.Type.CHAR: "STRING",
-306            exp.DataType.Type.DECIMAL: "NUMERIC",
-307            exp.DataType.Type.DOUBLE: "FLOAT64",
-308            exp.DataType.Type.FLOAT: "FLOAT64",
-309            exp.DataType.Type.INT: "INT64",
-310            exp.DataType.Type.NCHAR: "STRING",
-311            exp.DataType.Type.NVARCHAR: "STRING",
-312            exp.DataType.Type.SMALLINT: "INT64",
-313            exp.DataType.Type.TEXT: "STRING",
-314            exp.DataType.Type.TIMESTAMP: "DATETIME",
-315            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-316            exp.DataType.Type.TINYINT: "INT64",
-317            exp.DataType.Type.VARBINARY: "BYTES",
-318            exp.DataType.Type.VARCHAR: "STRING",
-319            exp.DataType.Type.VARIANT: "ANY TYPE",
-320        }
-321
-322        PROPERTIES_LOCATION = {
-323            **generator.Generator.PROPERTIES_LOCATION,
-324            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-325            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-326        }
-327
-328        def array_sql(self, expression: exp.Array) -> str:
-329            first_arg = seq_get(expression.expressions, 0)
-330            if isinstance(first_arg, exp.Subqueryable):
-331                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-332
-333            return inline_array_sql(self, expression)
-334
-335        def transaction_sql(self, *_) -> str:
-336            return "BEGIN TRANSACTION"
-337
-338        def commit_sql(self, *_) -> str:
-339            return "COMMIT TRANSACTION"
-340
-341        def rollback_sql(self, *_) -> str:
-342            return "ROLLBACK TRANSACTION"
-343
-344        def in_unnest_op(self, expression: exp.Unnest) -> str:
-345            return self.sql(expression)
-346
-347        def except_op(self, expression: exp.Except) -> str:
-348            if not expression.args.get("distinct", False):
-349                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-350            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-351
-352        def intersect_op(self, expression: exp.Intersect) -> str:
-353            if not expression.args.get("distinct", False):
-354                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-355            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-356
-357        def with_properties(self, properties: exp.Properties) -> str:
-358            return self.properties(properties, prefix=self.seg("OPTIONS"))
+285            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
+286            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+287            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+288            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+289            exp.VariancePop: rename_func("VAR_POP"),
+290            exp.Values: _derived_table_values_to_unnest,
+291            exp.ReturnsProperty: _returnsproperty_sql,
+292            exp.Create: _create_sql,
+293            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+294            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
+295            if e.name == "IMMUTABLE"
+296            else "NOT DETERMINISTIC",
+297            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+298        }
+299
+300        TYPE_MAPPING = {
+301            **generator.Generator.TYPE_MAPPING,
+302            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
+303            exp.DataType.Type.BIGINT: "INT64",
+304            exp.DataType.Type.BINARY: "BYTES",
+305            exp.DataType.Type.BOOLEAN: "BOOL",
+306            exp.DataType.Type.CHAR: "STRING",
+307            exp.DataType.Type.DECIMAL: "NUMERIC",
+308            exp.DataType.Type.DOUBLE: "FLOAT64",
+309            exp.DataType.Type.FLOAT: "FLOAT64",
+310            exp.DataType.Type.INT: "INT64",
+311            exp.DataType.Type.NCHAR: "STRING",
+312            exp.DataType.Type.NVARCHAR: "STRING",
+313            exp.DataType.Type.SMALLINT: "INT64",
+314            exp.DataType.Type.TEXT: "STRING",
+315            exp.DataType.Type.TIMESTAMP: "DATETIME",
+316            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+317            exp.DataType.Type.TINYINT: "INT64",
+318            exp.DataType.Type.VARBINARY: "BYTES",
+319            exp.DataType.Type.VARCHAR: "STRING",
+320            exp.DataType.Type.VARIANT: "ANY TYPE",
+321        }
+322
+323        PROPERTIES_LOCATION = {
+324            **generator.Generator.PROPERTIES_LOCATION,
+325            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+326            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+327        }
+328
+329        def array_sql(self, expression: exp.Array) -> str:
+330            first_arg = seq_get(expression.expressions, 0)
+331            if isinstance(first_arg, exp.Subqueryable):
+332                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+333
+334            return inline_array_sql(self, expression)
+335
+336        def transaction_sql(self, *_) -> str:
+337            return "BEGIN TRANSACTION"
+338
+339        def commit_sql(self, *_) -> str:
+340            return "COMMIT TRANSACTION"
+341
+342        def rollback_sql(self, *_) -> str:
+343            return "ROLLBACK TRANSACTION"
+344
+345        def in_unnest_op(self, expression: exp.Unnest) -> str:
+346            return self.sql(expression)
+347
+348        def except_op(self, expression: exp.Except) -> str:
+349            if not expression.args.get("distinct", False):
+350                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+351            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+352
+353        def intersect_op(self, expression: exp.Intersect) -> str:
+354            if not expression.args.get("distinct", False):
+355                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+356            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+357
+358        def with_properties(self, properties: exp.Properties) -> str:
+359            return self.properties(properties, prefix=self.seg("OPTIONS"))
 

 
 
@@ -474,30 +475,34 @@ 
API Documentation

 
     

     
-            
110class BigQuery(Dialect):
-111    unnest_column_only = True
-112    time_mapping = {
-113        "%M": "%-M",
-114        "%d": "%-d",
-115        "%m": "%-m",
-116        "%y": "%-y",
-117        "%H": "%-H",
-118        "%I": "%-I",
-119        "%S": "%-S",
-120        "%j": "%-j",
-121    }
-122
-123    class Tokenizer(tokens.Tokenizer):
-124        QUOTES = [
-125            (prefix + quote, quote) if prefix else quote
-126            for quote in ["'", '"', '"""', "'''"]
-127            for prefix in ["", "r", "R"]
-128        ]
-129        COMMENTS = ["--", "#", ("/*", "*/")]
-130        IDENTIFIERS = ["`"]
-131        STRING_ESCAPES = ["\\"]
-132        HEX_STRINGS = [("0x", ""), ("0X", "")]
-133        BYTE_STRINGS = [("b'", "'"), ("B'", "'")]
+            
106class BigQuery(Dialect):
+107    unnest_column_only = True
+108    time_mapping = {
+109        "%M": "%-M",
+110        "%d": "%-d",
+111        "%m": "%-m",
+112        "%y": "%-y",
+113        "%H": "%-H",
+114        "%I": "%-I",
+115        "%S": "%-S",
+116        "%j": "%-j",
+117    }
+118
+119    class Tokenizer(tokens.Tokenizer):
+120        QUOTES = ["'", '"', '"""', "'''"]
+121        COMMENTS = ["--", "#", ("/*", "*/")]
+122        IDENTIFIERS = ["`"]
+123        STRING_ESCAPES = ["\\"]
+124
+125        HEX_STRINGS = [("0x", ""), ("0X", "")]
+126
+127        BYTE_STRINGS = [
+128            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
+129        ]
+130
+131        RAW_STRINGS = [
+132            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
+133        ]
 134
 135        KEYWORDS = {
 136            **tokens.Tokenizer.KEYWORDS,
@@ -650,80 +655,81 @@ 
API Documentation

 283            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
 284            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
 285            exp.TimeStrToTime: timestrtotime_sql,
-286            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-287            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
-288            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-289            exp.VariancePop: rename_func("VAR_POP"),
-290            exp.Values: _derived_table_values_to_unnest,
-291            exp.ReturnsProperty: _returnsproperty_sql,
-292            exp.Create: _create_sql,
-293            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-294            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
-295            if e.name == "IMMUTABLE"
-296            else "NOT DETERMINISTIC",
-297            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-298        }
-299
-300        TYPE_MAPPING = {
-301            **generator.Generator.TYPE_MAPPING,
-302            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
-303            exp.DataType.Type.BIGINT: "INT64",
-304            exp.DataType.Type.BINARY: "BYTES",
-305            exp.DataType.Type.BOOLEAN: "BOOL",
-306            exp.DataType.Type.CHAR: "STRING",
-307            exp.DataType.Type.DECIMAL: "NUMERIC",
-308            exp.DataType.Type.DOUBLE: "FLOAT64",
-309            exp.DataType.Type.FLOAT: "FLOAT64",
-310            exp.DataType.Type.INT: "INT64",
-311            exp.DataType.Type.NCHAR: "STRING",
-312            exp.DataType.Type.NVARCHAR: "STRING",
-313            exp.DataType.Type.SMALLINT: "INT64",
-314            exp.DataType.Type.TEXT: "STRING",
-315            exp.DataType.Type.TIMESTAMP: "DATETIME",
-316            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-317            exp.DataType.Type.TINYINT: "INT64",
-318            exp.DataType.Type.VARBINARY: "BYTES",
-319            exp.DataType.Type.VARCHAR: "STRING",
-320            exp.DataType.Type.VARIANT: "ANY TYPE",
-321        }
-322
-323        PROPERTIES_LOCATION = {
-324            **generator.Generator.PROPERTIES_LOCATION,
-325            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-326            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-327        }
-328
-329        def array_sql(self, expression: exp.Array) -> str:
-330            first_arg = seq_get(expression.expressions, 0)
-331            if isinstance(first_arg, exp.Subqueryable):
-332                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-333
-334            return inline_array_sql(self, expression)
-335
-336        def transaction_sql(self, *_) -> str:
-337            return "BEGIN TRANSACTION"
-338
-339        def commit_sql(self, *_) -> str:
-340            return "COMMIT TRANSACTION"
-341
-342        def rollback_sql(self, *_) -> str:
-343            return "ROLLBACK TRANSACTION"
-344
-345        def in_unnest_op(self, expression: exp.Unnest) -> str:
-346            return self.sql(expression)
-347
-348        def except_op(self, expression: exp.Except) -> str:
-349            if not expression.args.get("distinct", False):
-350                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-351            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-352
-353        def intersect_op(self, expression: exp.Intersect) -> str:
-354            if not expression.args.get("distinct", False):
-355                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-356            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-357
-358        def with_properties(self, properties: exp.Properties) -> str:
-359            return self.properties(properties, prefix=self.seg("OPTIONS"))
+286            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
+287            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+288            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+289            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+290            exp.VariancePop: rename_func("VAR_POP"),
+291            exp.Values: _derived_table_values_to_unnest,
+292            exp.ReturnsProperty: _returnsproperty_sql,
+293            exp.Create: _create_sql,
+294            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+295            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
+296            if e.name == "IMMUTABLE"
+297            else "NOT DETERMINISTIC",
+298            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+299        }
+300
+301        TYPE_MAPPING = {
+302            **generator.Generator.TYPE_MAPPING,
+303            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
+304            exp.DataType.Type.BIGINT: "INT64",
+305            exp.DataType.Type.BINARY: "BYTES",
+306            exp.DataType.Type.BOOLEAN: "BOOL",
+307            exp.DataType.Type.CHAR: "STRING",
+308            exp.DataType.Type.DECIMAL: "NUMERIC",
+309            exp.DataType.Type.DOUBLE: "FLOAT64",
+310            exp.DataType.Type.FLOAT: "FLOAT64",
+311            exp.DataType.Type.INT: "INT64",
+312            exp.DataType.Type.NCHAR: "STRING",
+313            exp.DataType.Type.NVARCHAR: "STRING",
+314            exp.DataType.Type.SMALLINT: "INT64",
+315            exp.DataType.Type.TEXT: "STRING",
+316            exp.DataType.Type.TIMESTAMP: "DATETIME",
+317            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+318            exp.DataType.Type.TINYINT: "INT64",
+319            exp.DataType.Type.VARBINARY: "BYTES",
+320            exp.DataType.Type.VARCHAR: "STRING",
+321            exp.DataType.Type.VARIANT: "ANY TYPE",
+322        }
+323
+324        PROPERTIES_LOCATION = {
+325            **generator.Generator.PROPERTIES_LOCATION,
+326            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+327            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+328        }
+329
+330        def array_sql(self, expression: exp.Array) -> str:
+331            first_arg = seq_get(expression.expressions, 0)
+332            if isinstance(first_arg, exp.Subqueryable):
+333                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+334
+335            return inline_array_sql(self, expression)
+336
+337        def transaction_sql(self, *_) -> str:
+338            return "BEGIN TRANSACTION"
+339
+340        def commit_sql(self, *_) -> str:
+341            return "COMMIT TRANSACTION"
+342
+343        def rollback_sql(self, *_) -> str:
+344            return "ROLLBACK TRANSACTION"
+345
+346        def in_unnest_op(self, expression: exp.Unnest) -> str:
+347            return self.sql(expression)
+348
+349        def except_op(self, expression: exp.Except) -> str:
+350            if not expression.args.get("distinct", False):
+351                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+352            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+353
+354        def intersect_op(self, expression: exp.Intersect) -> str:
+355            if not expression.args.get("distinct", False):
+356                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+357            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+358
+359        def with_properties(self, properties: exp.Properties) -> str:
+360            return self.properties(properties, prefix=self.seg("OPTIONS"))
 

 
 
@@ -758,17 +764,21 @@ 
Inherited Members

 
     

     
-            
123    class Tokenizer(tokens.Tokenizer):
-124        QUOTES = [
-125            (prefix + quote, quote) if prefix else quote
-126            for quote in ["'", '"', '"""', "'''"]
-127            for prefix in ["", "r", "R"]
-128        ]
-129        COMMENTS = ["--", "#", ("/*", "*/")]
-130        IDENTIFIERS = ["`"]
-131        STRING_ESCAPES = ["\\"]
-132        HEX_STRINGS = [("0x", ""), ("0X", "")]
-133        BYTE_STRINGS = [("b'", "'"), ("B'", "'")]
+            
119    class Tokenizer(tokens.Tokenizer):
+120        QUOTES = ["'", '"', '"""', "'''"]
+121        COMMENTS = ["--", "#", ("/*", "*/")]
+122        IDENTIFIERS = ["`"]
+123        STRING_ESCAPES = ["\\"]
+124
+125        HEX_STRINGS = [("0x", ""), ("0X", "")]
+126
+127        BYTE_STRINGS = [
+128            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
+129        ]
+130
+131        RAW_STRINGS = [
+132            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
+133        ]
 134
 135        KEYWORDS = {
 136            **tokens.Tokenizer.KEYWORDS,
@@ -1002,80 +1012,81 @@ 
Inherited Members

 283            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
 284            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
 285            exp.TimeStrToTime: timestrtotime_sql,
-286            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-287            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
-288            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-289            exp.VariancePop: rename_func("VAR_POP"),
-290            exp.Values: _derived_table_values_to_unnest,
-291            exp.ReturnsProperty: _returnsproperty_sql,
-292            exp.Create: _create_sql,
-293            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-294            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
-295            if e.name == "IMMUTABLE"
-296            else "NOT DETERMINISTIC",
-297            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-298        }
-299
-300        TYPE_MAPPING = {
-301            **generator.Generator.TYPE_MAPPING,
-302            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
-303            exp.DataType.Type.BIGINT: "INT64",
-304            exp.DataType.Type.BINARY: "BYTES",
-305            exp.DataType.Type.BOOLEAN: "BOOL",
-306            exp.DataType.Type.CHAR: "STRING",
-307            exp.DataType.Type.DECIMAL: "NUMERIC",
-308            exp.DataType.Type.DOUBLE: "FLOAT64",
-309            exp.DataType.Type.FLOAT: "FLOAT64",
-310            exp.DataType.Type.INT: "INT64",
-311            exp.DataType.Type.NCHAR: "STRING",
-312            exp.DataType.Type.NVARCHAR: "STRING",
-313            exp.DataType.Type.SMALLINT: "INT64",
-314            exp.DataType.Type.TEXT: "STRING",
-315            exp.DataType.Type.TIMESTAMP: "DATETIME",
-316            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-317            exp.DataType.Type.TINYINT: "INT64",
-318            exp.DataType.Type.VARBINARY: "BYTES",
-319            exp.DataType.Type.VARCHAR: "STRING",
-320            exp.DataType.Type.VARIANT: "ANY TYPE",
-321        }
-322
-323        PROPERTIES_LOCATION = {
-324            **generator.Generator.PROPERTIES_LOCATION,
-325            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-326            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-327        }
-328
-329        def array_sql(self, expression: exp.Array) -> str:
-330            first_arg = seq_get(expression.expressions, 0)
-331            if isinstance(first_arg, exp.Subqueryable):
-332                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-333
-334            return inline_array_sql(self, expression)
-335
-336        def transaction_sql(self, *_) -> str:
-337            return "BEGIN TRANSACTION"
-338
-339        def commit_sql(self, *_) -> str:
-340            return "COMMIT TRANSACTION"
-341
-342        def rollback_sql(self, *_) -> str:
-343            return "ROLLBACK TRANSACTION"
-344
-345        def in_unnest_op(self, expression: exp.Unnest) -> str:
-346            return self.sql(expression)
-347
-348        def except_op(self, expression: exp.Except) -> str:
-349            if not expression.args.get("distinct", False):
-350                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-351            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-352
-353        def intersect_op(self, expression: exp.Intersect) -> str:
-354            if not expression.args.get("distinct", False):
-355                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-356            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-357
-358        def with_properties(self, properties: exp.Properties) -> str:
-359            return self.properties(properties, prefix=self.seg("OPTIONS"))
+286            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
+287            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+288            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+289            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+290            exp.VariancePop: rename_func("VAR_POP"),
+291            exp.Values: _derived_table_values_to_unnest,
+292            exp.ReturnsProperty: _returnsproperty_sql,
+293            exp.Create: _create_sql,
+294            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+295            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
+296            if e.name == "IMMUTABLE"
+297            else "NOT DETERMINISTIC",
+298            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+299        }
+300
+301        TYPE_MAPPING = {
+302            **generator.Generator.TYPE_MAPPING,
+303            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
+304            exp.DataType.Type.BIGINT: "INT64",
+305            exp.DataType.Type.BINARY: "BYTES",
+306            exp.DataType.Type.BOOLEAN: "BOOL",
+307            exp.DataType.Type.CHAR: "STRING",
+308            exp.DataType.Type.DECIMAL: "NUMERIC",
+309            exp.DataType.Type.DOUBLE: "FLOAT64",
+310            exp.DataType.Type.FLOAT: "FLOAT64",
+311            exp.DataType.Type.INT: "INT64",
+312            exp.DataType.Type.NCHAR: "STRING",
+313            exp.DataType.Type.NVARCHAR: "STRING",
+314            exp.DataType.Type.SMALLINT: "INT64",
+315            exp.DataType.Type.TEXT: "STRING",
+316            exp.DataType.Type.TIMESTAMP: "DATETIME",
+317            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+318            exp.DataType.Type.TINYINT: "INT64",
+319            exp.DataType.Type.VARBINARY: "BYTES",
+320            exp.DataType.Type.VARCHAR: "STRING",
+321            exp.DataType.Type.VARIANT: "ANY TYPE",
+322        }
+323
+324        PROPERTIES_LOCATION = {
+325            **generator.Generator.PROPERTIES_LOCATION,
+326            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+327            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+328        }
+329
+330        def array_sql(self, expression: exp.Array) -> str:
+331            first_arg = seq_get(expression.expressions, 0)
+332            if isinstance(first_arg, exp.Subqueryable):
+333                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+334
+335            return inline_array_sql(self, expression)
+336
+337        def transaction_sql(self, *_) -> str:
+338            return "BEGIN TRANSACTION"
+339
+340        def commit_sql(self, *_) -> str:
+341            return "COMMIT TRANSACTION"
+342
+343        def rollback_sql(self, *_) -> str:
+344            return "ROLLBACK TRANSACTION"
+345
+346        def in_unnest_op(self, expression: exp.Unnest) -> str:
+347            return self.sql(expression)
+348
+349        def except_op(self, expression: exp.Except) -> str:
+350            if not expression.args.get("distinct", False):
+351                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+352            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+353
+354        def intersect_op(self, expression: exp.Intersect) -> str:
+355            if not expression.args.get("distinct", False):
+356                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+357            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+358
+359        def with_properties(self, properties: exp.Properties) -> str:
+360            return self.properties(properties, prefix=self.seg("OPTIONS"))
 

 
 
@@ -1098,6 +1109,8 @@ 
Arguments:

 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1140,12 +1153,12 @@ 
    Arguments:
    
 
     
    
     
-            
    329        def array_sql(self, expression: exp.Array) -> str:
-330            first_arg = seq_get(expression.expressions, 0)
-331            if isinstance(first_arg, exp.Subqueryable):
-332                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-333
-334            return inline_array_sql(self, expression)
+            
    330        def array_sql(self, expression: exp.Array) -> str:
+331            first_arg = seq_get(expression.expressions, 0)
+332            if isinstance(first_arg, exp.Subqueryable):
+333                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+334
+335            return inline_array_sql(self, expression)
 
    
 
 
@@ -1163,8 +1176,8 @@ 
    Arguments:
    
 
     
    
     
-            
    336        def transaction_sql(self, *_) -> str:
-337            return "BEGIN TRANSACTION"
+            
    337        def transaction_sql(self, *_) -> str:
+338            return "BEGIN TRANSACTION"
 
    
 
 
@@ -1182,8 +1195,8 @@ 
    Arguments:
    
 
     
    
     
-            
    339        def commit_sql(self, *_) -> str:
-340            return "COMMIT TRANSACTION"
+            
    340        def commit_sql(self, *_) -> str:
+341            return "COMMIT TRANSACTION"
 
    
 
 
@@ -1201,8 +1214,8 @@ 
    Arguments:
    
 
     
    
     
-            
    342        def rollback_sql(self, *_) -> str:
-343            return "ROLLBACK TRANSACTION"
+            
    343        def rollback_sql(self, *_) -> str:
+344            return "ROLLBACK TRANSACTION"
 
    
 
 
@@ -1220,8 +1233,8 @@ 
    Arguments:
    
 
     
    
     
-            
    345        def in_unnest_op(self, expression: exp.Unnest) -> str:
-346            return self.sql(expression)
+            
    346        def in_unnest_op(self, expression: exp.Unnest) -> str:
+347            return self.sql(expression)
 
    
 
 
@@ -1239,10 +1252,10 @@ 
    Arguments:
    
 
     
    
     
-            
    348        def except_op(self, expression: exp.Except) -> str:
-349            if not expression.args.get("distinct", False):
-350                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-351            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+            
    349        def except_op(self, expression: exp.Except) -> str:
+350            if not expression.args.get("distinct", False):
+351                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+352            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
    
 
 
@@ -1260,10 +1273,10 @@ 
    Arguments:
    
 
     
    
     
-            
    353        def intersect_op(self, expression: exp.Intersect) -> str:
-354            if not expression.args.get("distinct", False):
-355                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-356            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+            
    354        def intersect_op(self, expression: exp.Intersect) -> str:
+355            if not expression.args.get("distinct", False):
+356                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+357            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
    
 
 
@@ -1281,8 +1294,8 @@ 
    Arguments:
    
 
     
    
     
-            
    358        def with_properties(self, properties: exp.Properties) -> str:
-359            return self.properties(properties, prefix=self.seg("OPTIONS"))
+            
    359        def with_properties(self, properties: exp.Properties) -> str:
+360            return self.properties(properties, prefix=self.seg("OPTIONS"))
 
    
 
 
@@ -1328,6 +1341,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/clickhouse.html b/docs/sqlglot/dialects/clickhouse.html
index 590975abd8..3140f452fb 100644
--- a/docs/sqlglot/dialects/clickhouse.html
+++ b/docs/sqlglot/dialects/clickhouse.html
@@ -155,263 +155,265 @@ 
    
  64            "UNIQ": exp.ApproxDistinct.from_arg_list,
  65        }
  66
- 67        FUNCTION_PARSERS = {
- 68            **parser.Parser.FUNCTION_PARSERS,
- 69            "QUANTILE": lambda self: self._parse_quantile(),
- 70        }
- 71
- 72        FUNCTION_PARSERS.pop("MATCH")
+ 67        FUNCTIONS_WITH_ALIASED_ARGS = {*parser.Parser.FUNCTIONS_WITH_ALIASED_ARGS, "TUPLE"}
+ 68
+ 69        FUNCTION_PARSERS = {
+ 70            **parser.Parser.FUNCTION_PARSERS,
+ 71            "QUANTILE": lambda self: self._parse_quantile(),
+ 72        }
  73
- 74        NO_PAREN_FUNCTION_PARSERS = parser.Parser.NO_PAREN_FUNCTION_PARSERS.copy()
- 75        NO_PAREN_FUNCTION_PARSERS.pop(TokenType.ANY)
- 76
- 77        RANGE_PARSERS = {
- 78            **parser.Parser.RANGE_PARSERS,
- 79            TokenType.GLOBAL: lambda self, this: self._match(TokenType.IN)
- 80            and self._parse_in(this, is_global=True),
- 81        }
- 82
- 83        # The PLACEHOLDER entry is popped because 1) it doesn't affect Clickhouse (it corresponds to
- 84        # the postgres-specific JSONBContains parser) and 2) it makes parsing the ternary op simpler.
- 85        COLUMN_OPERATORS = parser.Parser.COLUMN_OPERATORS.copy()
- 86        COLUMN_OPERATORS.pop(TokenType.PLACEHOLDER)
- 87
- 88        JOIN_KINDS = {
- 89            *parser.Parser.JOIN_KINDS,
- 90            TokenType.ANY,
- 91            TokenType.ASOF,
- 92            TokenType.ANTI,
- 93            TokenType.SEMI,
- 94        }
- 95
- 96        TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - {
- 97            TokenType.ANY,
- 98            TokenType.ASOF,
- 99            TokenType.SEMI,
-100            TokenType.ANTI,
-101            TokenType.SETTINGS,
-102            TokenType.FORMAT,
-103        }
-104
-105        LOG_DEFAULTS_TO_LN = True
+ 74        FUNCTION_PARSERS.pop("MATCH")
+ 75
+ 76        NO_PAREN_FUNCTION_PARSERS = parser.Parser.NO_PAREN_FUNCTION_PARSERS.copy()
+ 77        NO_PAREN_FUNCTION_PARSERS.pop(TokenType.ANY)
+ 78
+ 79        RANGE_PARSERS = {
+ 80            **parser.Parser.RANGE_PARSERS,
+ 81            TokenType.GLOBAL: lambda self, this: self._match(TokenType.IN)
+ 82            and self._parse_in(this, is_global=True),
+ 83        }
+ 84
+ 85        # The PLACEHOLDER entry is popped because 1) it doesn't affect Clickhouse (it corresponds to
+ 86        # the postgres-specific JSONBContains parser) and 2) it makes parsing the ternary op simpler.
+ 87        COLUMN_OPERATORS = parser.Parser.COLUMN_OPERATORS.copy()
+ 88        COLUMN_OPERATORS.pop(TokenType.PLACEHOLDER)
+ 89
+ 90        JOIN_KINDS = {
+ 91            *parser.Parser.JOIN_KINDS,
+ 92            TokenType.ANY,
+ 93            TokenType.ASOF,
+ 94            TokenType.ANTI,
+ 95            TokenType.SEMI,
+ 96        }
+ 97
+ 98        TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - {
+ 99            TokenType.ANY,
+100            TokenType.ASOF,
+101            TokenType.SEMI,
+102            TokenType.ANTI,
+103            TokenType.SETTINGS,
+104            TokenType.FORMAT,
+105        }
 106
-107        QUERY_MODIFIER_PARSERS = {
-108            **parser.Parser.QUERY_MODIFIER_PARSERS,
-109            "settings": lambda self: self._parse_csv(self._parse_conjunction)
-110            if self._match(TokenType.SETTINGS)
-111            else None,
-112            "format": lambda self: self._parse_id_var() if self._match(TokenType.FORMAT) else None,
-113        }
-114
-115        def _parse_conjunction(self) -> t.Optional[exp.Expression]:
-116            this = super()._parse_conjunction()
-117
-118            if self._match(TokenType.PLACEHOLDER):
-119                return self.expression(
-120                    exp.If,
-121                    this=this,
-122                    true=self._parse_conjunction(),
-123                    false=self._match(TokenType.COLON) and self._parse_conjunction(),
-124                )
-125
-126            return this
+107        LOG_DEFAULTS_TO_LN = True
+108
+109        QUERY_MODIFIER_PARSERS = {
+110            **parser.Parser.QUERY_MODIFIER_PARSERS,
+111            "settings": lambda self: self._parse_csv(self._parse_conjunction)
+112            if self._match(TokenType.SETTINGS)
+113            else None,
+114            "format": lambda self: self._parse_id_var() if self._match(TokenType.FORMAT) else None,
+115        }
+116
+117        def _parse_conjunction(self) -> t.Optional[exp.Expression]:
+118            this = super()._parse_conjunction()
+119
+120            if self._match(TokenType.PLACEHOLDER):
+121                return self.expression(
+122                    exp.If,
+123                    this=this,
+124                    true=self._parse_conjunction(),
+125                    false=self._match(TokenType.COLON) and self._parse_conjunction(),
+126                )
 127
-128        def _parse_placeholder(self) -> t.Optional[exp.Expression]:
-129            """
-130            Parse a placeholder expression like SELECT {abc: UInt32} or FROM {table: Identifier}
-131            https://clickhouse.com/docs/en/sql-reference/syntax#defining-and-using-query-parameters
-132            """
-133            if not self._match(TokenType.L_BRACE):
-134                return None
-135
-136            this = self._parse_id_var()
-137            self._match(TokenType.COLON)
-138            kind = self._parse_types(check_func=False) or (
-139                self._match_text_seq("IDENTIFIER") and "Identifier"
-140            )
-141
-142            if not kind:
-143                self.raise_error("Expecting a placeholder type or 'Identifier' for tables")
-144            elif not self._match(TokenType.R_BRACE):
-145                self.raise_error("Expecting }")
-146
-147            return self.expression(exp.Placeholder, this=this, kind=kind)
+128            return this
+129
+130        def _parse_placeholder(self) -> t.Optional[exp.Expression]:
+131            """
+132            Parse a placeholder expression like SELECT {abc: UInt32} or FROM {table: Identifier}
+133            https://clickhouse.com/docs/en/sql-reference/syntax#defining-and-using-query-parameters
+134            """
+135            if not self._match(TokenType.L_BRACE):
+136                return None
+137
+138            this = self._parse_id_var()
+139            self._match(TokenType.COLON)
+140            kind = self._parse_types(check_func=False) or (
+141                self._match_text_seq("IDENTIFIER") and "Identifier"
+142            )
+143
+144            if not kind:
+145                self.raise_error("Expecting a placeholder type or 'Identifier' for tables")
+146            elif not self._match(TokenType.R_BRACE):
+147                self.raise_error("Expecting }")
 148
-149        def _parse_in(
-150            self, this: t.Optional[exp.Expression], is_global: bool = False
-151        ) -> exp.Expression:
-152            this = super()._parse_in(this)
-153            this.set("is_global", is_global)
-154            return this
-155
-156        def _parse_table(
-157            self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
-158        ) -> t.Optional[exp.Expression]:
-159            this = super()._parse_table(schema=schema, alias_tokens=alias_tokens)
-160
-161            if self._match(TokenType.FINAL):
-162                this = self.expression(exp.Final, this=this)
-163
-164            return this
+149            return self.expression(exp.Placeholder, this=this, kind=kind)
+150
+151        def _parse_in(
+152            self, this: t.Optional[exp.Expression], is_global: bool = False
+153        ) -> exp.Expression:
+154            this = super()._parse_in(this)
+155            this.set("is_global", is_global)
+156            return this
+157
+158        def _parse_table(
+159            self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
+160        ) -> t.Optional[exp.Expression]:
+161            this = super()._parse_table(schema=schema, alias_tokens=alias_tokens)
+162
+163            if self._match(TokenType.FINAL):
+164                this = self.expression(exp.Final, this=this)
 165
-166        def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
-167            return super()._parse_position(haystack_first=True)
-168
-169        # https://clickhouse.com/docs/en/sql-reference/statements/select/with/
-170        def _parse_cte(self) -> exp.Expression:
-171            index = self._index
-172            try:
-173                # WITH <identifier> AS <subquery expression>
-174                return super()._parse_cte()
-175            except ParseError:
-176                # WITH <expression> AS <identifier>
-177                self._retreat(index)
-178                statement = self._parse_statement()
-179
-180                if statement and isinstance(statement.this, exp.Alias):
-181                    self.raise_error("Expected CTE to have alias")
-182
-183                return self.expression(exp.CTE, this=statement, alias=statement and statement.this)
+166            return this
+167
+168        def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
+169            return super()._parse_position(haystack_first=True)
+170
+171        # https://clickhouse.com/docs/en/sql-reference/statements/select/with/
+172        def _parse_cte(self) -> exp.Expression:
+173            index = self._index
+174            try:
+175                # WITH <identifier> AS <subquery expression>
+176                return super()._parse_cte()
+177            except ParseError:
+178                # WITH <expression> AS <identifier>
+179                self._retreat(index)
+180                statement = self._parse_statement()
+181
+182                if statement and isinstance(statement.this, exp.Alias):
+183                    self.raise_error("Expected CTE to have alias")
 184
-185        def _parse_join_side_and_kind(
-186            self,
-187        ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
-188            is_global = self._match(TokenType.GLOBAL) and self._prev
-189            kind_pre = self._match_set(self.JOIN_KINDS, advance=False) and self._prev
-190            if kind_pre:
-191                kind = self._match_set(self.JOIN_KINDS) and self._prev
-192                side = self._match_set(self.JOIN_SIDES) and self._prev
-193                return is_global, side, kind
-194            return (
-195                is_global,
-196                self._match_set(self.JOIN_SIDES) and self._prev,
-197                self._match_set(self.JOIN_KINDS) and self._prev,
-198            )
-199
-200        def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
-201            join = super()._parse_join(skip_join_token)
-202
-203            if join:
-204                join.set("global", join.args.pop("natural", None))
-205            return join
-206
-207        def _parse_function(
-208            self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
-209        ) -> t.Optional[exp.Expression]:
-210            func = super()._parse_function(functions, anonymous)
-211
-212            if isinstance(func, exp.Anonymous):
-213                params = self._parse_func_params(func)
-214
-215                if params:
-216                    return self.expression(
-217                        exp.ParameterizedAgg,
-218                        this=func.this,
-219                        expressions=func.expressions,
-220                        params=params,
-221                    )
-222
-223            return func
+185                return self.expression(exp.CTE, this=statement, alias=statement and statement.this)
+186
+187        def _parse_join_side_and_kind(
+188            self,
+189        ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
+190            is_global = self._match(TokenType.GLOBAL) and self._prev
+191            kind_pre = self._match_set(self.JOIN_KINDS, advance=False) and self._prev
+192            if kind_pre:
+193                kind = self._match_set(self.JOIN_KINDS) and self._prev
+194                side = self._match_set(self.JOIN_SIDES) and self._prev
+195                return is_global, side, kind
+196            return (
+197                is_global,
+198                self._match_set(self.JOIN_SIDES) and self._prev,
+199                self._match_set(self.JOIN_KINDS) and self._prev,
+200            )
+201
+202        def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
+203            join = super()._parse_join(skip_join_token)
+204
+205            if join:
+206                join.set("global", join.args.pop("natural", None))
+207            return join
+208
+209        def _parse_function(
+210            self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
+211        ) -> t.Optional[exp.Expression]:
+212            func = super()._parse_function(functions, anonymous)
+213
+214            if isinstance(func, exp.Anonymous):
+215                params = self._parse_func_params(func)
+216
+217                if params:
+218                    return self.expression(
+219                        exp.ParameterizedAgg,
+220                        this=func.this,
+221                        expressions=func.expressions,
+222                        params=params,
+223                    )
 224
-225        def _parse_func_params(
-226            self, this: t.Optional[exp.Func] = None
-227        ) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-228            if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN):
-229                return self._parse_csv(self._parse_lambda)
-230            if self._match(TokenType.L_PAREN):
-231                params = self._parse_csv(self._parse_lambda)
-232                self._match_r_paren(this)
-233                return params
-234            return None
-235
-236        def _parse_quantile(self) -> exp.Quantile:
-237            this = self._parse_lambda()
-238            params = self._parse_func_params()
-239            if params:
-240                return self.expression(exp.Quantile, this=params[0], quantile=this)
-241            return self.expression(exp.Quantile, this=this, quantile=exp.Literal.number(0.5))
-242
-243        def _parse_wrapped_id_vars(
-244            self, optional: bool = False
-245        ) -> t.List[t.Optional[exp.Expression]]:
-246            return super()._parse_wrapped_id_vars(optional=True)
-247
-248    class Generator(generator.Generator):
-249        STRUCT_DELIMITER = ("(", ")")
-250
-251        TYPE_MAPPING = {
-252            **generator.Generator.TYPE_MAPPING,
-253            exp.DataType.Type.ARRAY: "Array",
-254            exp.DataType.Type.BIGINT: "Int64",
-255            exp.DataType.Type.DATETIME64: "DateTime64",
-256            exp.DataType.Type.DOUBLE: "Float64",
-257            exp.DataType.Type.FLOAT: "Float32",
-258            exp.DataType.Type.INT: "Int32",
-259            exp.DataType.Type.INT128: "Int128",
-260            exp.DataType.Type.INT256: "Int256",
-261            exp.DataType.Type.MAP: "Map",
-262            exp.DataType.Type.NULLABLE: "Nullable",
-263            exp.DataType.Type.SMALLINT: "Int16",
-264            exp.DataType.Type.STRUCT: "Tuple",
-265            exp.DataType.Type.TINYINT: "Int8",
-266            exp.DataType.Type.UBIGINT: "UInt64",
-267            exp.DataType.Type.UINT: "UInt32",
-268            exp.DataType.Type.UINT128: "UInt128",
-269            exp.DataType.Type.UINT256: "UInt256",
-270            exp.DataType.Type.USMALLINT: "UInt16",
-271            exp.DataType.Type.UTINYINT: "UInt8",
-272        }
-273
-274        TRANSFORMS = {
-275            **generator.Generator.TRANSFORMS,
-276            exp.AnyValue: rename_func("any"),
-277            exp.ApproxDistinct: rename_func("uniq"),
-278            exp.Array: inline_array_sql,
-279            exp.CastToStrType: rename_func("CAST"),
-280            exp.Final: lambda self, e: f"{self.sql(e, 'this')} FINAL",
-281            exp.Map: lambda self, e: _lower_func(var_map_sql(self, e)),
-282            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-283            exp.Pivot: no_pivot_sql,
-284            exp.Quantile: lambda self, e: self.func("quantile", e.args.get("quantile"))
-285            + f"({self.sql(e, 'this')})",
-286            exp.RegexpLike: lambda self, e: f"match({self.format_args(e.this, e.expression)})",
-287            exp.StrPosition: lambda self, e: f"position({self.format_args(e.this, e.args.get('substr'), e.args.get('position'))})",
-288            exp.VarMap: lambda self, e: _lower_func(var_map_sql(self, e)),
-289        }
-290
-291        PROPERTIES_LOCATION = {
-292            **generator.Generator.PROPERTIES_LOCATION,
-293            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-294            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-295        }
-296
-297        JOIN_HINTS = False
-298        TABLE_HINTS = False
-299        EXPLICIT_UNION = True
-300        GROUPINGS_SEP = ""
-301
-302        def cte_sql(self, expression: exp.CTE) -> str:
-303            if isinstance(expression.this, exp.Alias):
-304                return self.sql(expression, "this")
-305
-306            return super().cte_sql(expression)
+225            return func
+226
+227        def _parse_func_params(
+228            self, this: t.Optional[exp.Func] = None
+229        ) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+230            if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN):
+231                return self._parse_csv(self._parse_lambda)
+232            if self._match(TokenType.L_PAREN):
+233                params = self._parse_csv(self._parse_lambda)
+234                self._match_r_paren(this)
+235                return params
+236            return None
+237
+238        def _parse_quantile(self) -> exp.Quantile:
+239            this = self._parse_lambda()
+240            params = self._parse_func_params()
+241            if params:
+242                return self.expression(exp.Quantile, this=params[0], quantile=this)
+243            return self.expression(exp.Quantile, this=this, quantile=exp.Literal.number(0.5))
+244
+245        def _parse_wrapped_id_vars(
+246            self, optional: bool = False
+247        ) -> t.List[t.Optional[exp.Expression]]:
+248            return super()._parse_wrapped_id_vars(optional=True)
+249
+250    class Generator(generator.Generator):
+251        STRUCT_DELIMITER = ("(", ")")
+252
+253        TYPE_MAPPING = {
+254            **generator.Generator.TYPE_MAPPING,
+255            exp.DataType.Type.ARRAY: "Array",
+256            exp.DataType.Type.BIGINT: "Int64",
+257            exp.DataType.Type.DATETIME64: "DateTime64",
+258            exp.DataType.Type.DOUBLE: "Float64",
+259            exp.DataType.Type.FLOAT: "Float32",
+260            exp.DataType.Type.INT: "Int32",
+261            exp.DataType.Type.INT128: "Int128",
+262            exp.DataType.Type.INT256: "Int256",
+263            exp.DataType.Type.MAP: "Map",
+264            exp.DataType.Type.NULLABLE: "Nullable",
+265            exp.DataType.Type.SMALLINT: "Int16",
+266            exp.DataType.Type.STRUCT: "Tuple",
+267            exp.DataType.Type.TINYINT: "Int8",
+268            exp.DataType.Type.UBIGINT: "UInt64",
+269            exp.DataType.Type.UINT: "UInt32",
+270            exp.DataType.Type.UINT128: "UInt128",
+271            exp.DataType.Type.UINT256: "UInt256",
+272            exp.DataType.Type.USMALLINT: "UInt16",
+273            exp.DataType.Type.UTINYINT: "UInt8",
+274        }
+275
+276        TRANSFORMS = {
+277            **generator.Generator.TRANSFORMS,
+278            exp.AnyValue: rename_func("any"),
+279            exp.ApproxDistinct: rename_func("uniq"),
+280            exp.Array: inline_array_sql,
+281            exp.CastToStrType: rename_func("CAST"),
+282            exp.Final: lambda self, e: f"{self.sql(e, 'this')} FINAL",
+283            exp.Map: lambda self, e: _lower_func(var_map_sql(self, e)),
+284            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+285            exp.Pivot: no_pivot_sql,
+286            exp.Quantile: lambda self, e: self.func("quantile", e.args.get("quantile"))
+287            + f"({self.sql(e, 'this')})",
+288            exp.RegexpLike: lambda self, e: f"match({self.format_args(e.this, e.expression)})",
+289            exp.StrPosition: lambda self, e: f"position({self.format_args(e.this, e.args.get('substr'), e.args.get('position'))})",
+290            exp.VarMap: lambda self, e: _lower_func(var_map_sql(self, e)),
+291        }
+292
+293        PROPERTIES_LOCATION = {
+294            **generator.Generator.PROPERTIES_LOCATION,
+295            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+296            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+297        }
+298
+299        JOIN_HINTS = False
+300        TABLE_HINTS = False
+301        EXPLICIT_UNION = True
+302        GROUPINGS_SEP = ""
+303
+304        def cte_sql(self, expression: exp.CTE) -> str:
+305            if isinstance(expression.this, exp.Alias):
+306                return self.sql(expression, "this")
 307
-308        def after_limit_modifiers(self, expression):
-309            return super().after_limit_modifiers(expression) + [
-310                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
-311                if expression.args.get("settings")
-312                else "",
-313                self.seg("FORMAT ") + self.sql(expression, "format")
-314                if expression.args.get("format")
-315                else "",
-316            ]
-317
-318        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
-319            params = self.expressions(expression, "params", flat=True)
-320            return self.func(expression.name, *expression.expressions) + f"({params})"
-321
-322        def placeholder_sql(self, expression: exp.Placeholder) -> str:
-323            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
+308            return super().cte_sql(expression)
+309
+310        def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+311            return super().after_limit_modifiers(expression) + [
+312                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
+313                if expression.args.get("settings")
+314                else "",
+315                self.seg("FORMAT ") + self.sql(expression, "format")
+316                if expression.args.get("format")
+317                else "",
+318            ]
+319
+320        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
+321            params = self.expressions(expression, "params", flat=True)
+322            return self.func(expression.name, *expression.expressions) + f"({params})"
+323
+324        def placeholder_sql(self, expression: exp.Placeholder) -> str:
+325            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
 
    
 
 
@@ -471,263 +473,265 @@ 
    
  65            "UNIQ": exp.ApproxDistinct.from_arg_list,
  66        }
  67
- 68        FUNCTION_PARSERS = {
- 69            **parser.Parser.FUNCTION_PARSERS,
- 70            "QUANTILE": lambda self: self._parse_quantile(),
- 71        }
- 72
- 73        FUNCTION_PARSERS.pop("MATCH")
+ 68        FUNCTIONS_WITH_ALIASED_ARGS = {*parser.Parser.FUNCTIONS_WITH_ALIASED_ARGS, "TUPLE"}
+ 69
+ 70        FUNCTION_PARSERS = {
+ 71            **parser.Parser.FUNCTION_PARSERS,
+ 72            "QUANTILE": lambda self: self._parse_quantile(),
+ 73        }
  74
- 75        NO_PAREN_FUNCTION_PARSERS = parser.Parser.NO_PAREN_FUNCTION_PARSERS.copy()
- 76        NO_PAREN_FUNCTION_PARSERS.pop(TokenType.ANY)
- 77
- 78        RANGE_PARSERS = {
- 79            **parser.Parser.RANGE_PARSERS,
- 80            TokenType.GLOBAL: lambda self, this: self._match(TokenType.IN)
- 81            and self._parse_in(this, is_global=True),
- 82        }
- 83
- 84        # The PLACEHOLDER entry is popped because 1) it doesn't affect Clickhouse (it corresponds to
- 85        # the postgres-specific JSONBContains parser) and 2) it makes parsing the ternary op simpler.
- 86        COLUMN_OPERATORS = parser.Parser.COLUMN_OPERATORS.copy()
- 87        COLUMN_OPERATORS.pop(TokenType.PLACEHOLDER)
- 88
- 89        JOIN_KINDS = {
- 90            *parser.Parser.JOIN_KINDS,
- 91            TokenType.ANY,
- 92            TokenType.ASOF,
- 93            TokenType.ANTI,
- 94            TokenType.SEMI,
- 95        }
- 96
- 97        TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - {
- 98            TokenType.ANY,
- 99            TokenType.ASOF,
-100            TokenType.SEMI,
-101            TokenType.ANTI,
-102            TokenType.SETTINGS,
-103            TokenType.FORMAT,
-104        }
-105
-106        LOG_DEFAULTS_TO_LN = True
+ 75        FUNCTION_PARSERS.pop("MATCH")
+ 76
+ 77        NO_PAREN_FUNCTION_PARSERS = parser.Parser.NO_PAREN_FUNCTION_PARSERS.copy()
+ 78        NO_PAREN_FUNCTION_PARSERS.pop(TokenType.ANY)
+ 79
+ 80        RANGE_PARSERS = {
+ 81            **parser.Parser.RANGE_PARSERS,
+ 82            TokenType.GLOBAL: lambda self, this: self._match(TokenType.IN)
+ 83            and self._parse_in(this, is_global=True),
+ 84        }
+ 85
+ 86        # The PLACEHOLDER entry is popped because 1) it doesn't affect Clickhouse (it corresponds to
+ 87        # the postgres-specific JSONBContains parser) and 2) it makes parsing the ternary op simpler.
+ 88        COLUMN_OPERATORS = parser.Parser.COLUMN_OPERATORS.copy()
+ 89        COLUMN_OPERATORS.pop(TokenType.PLACEHOLDER)
+ 90
+ 91        JOIN_KINDS = {
+ 92            *parser.Parser.JOIN_KINDS,
+ 93            TokenType.ANY,
+ 94            TokenType.ASOF,
+ 95            TokenType.ANTI,
+ 96            TokenType.SEMI,
+ 97        }
+ 98
+ 99        TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - {
+100            TokenType.ANY,
+101            TokenType.ASOF,
+102            TokenType.SEMI,
+103            TokenType.ANTI,
+104            TokenType.SETTINGS,
+105            TokenType.FORMAT,
+106        }
 107
-108        QUERY_MODIFIER_PARSERS = {
-109            **parser.Parser.QUERY_MODIFIER_PARSERS,
-110            "settings": lambda self: self._parse_csv(self._parse_conjunction)
-111            if self._match(TokenType.SETTINGS)
-112            else None,
-113            "format": lambda self: self._parse_id_var() if self._match(TokenType.FORMAT) else None,
-114        }
-115
-116        def _parse_conjunction(self) -> t.Optional[exp.Expression]:
-117            this = super()._parse_conjunction()
-118
-119            if self._match(TokenType.PLACEHOLDER):
-120                return self.expression(
-121                    exp.If,
-122                    this=this,
-123                    true=self._parse_conjunction(),
-124                    false=self._match(TokenType.COLON) and self._parse_conjunction(),
-125                )
-126
-127            return this
+108        LOG_DEFAULTS_TO_LN = True
+109
+110        QUERY_MODIFIER_PARSERS = {
+111            **parser.Parser.QUERY_MODIFIER_PARSERS,
+112            "settings": lambda self: self._parse_csv(self._parse_conjunction)
+113            if self._match(TokenType.SETTINGS)
+114            else None,
+115            "format": lambda self: self._parse_id_var() if self._match(TokenType.FORMAT) else None,
+116        }
+117
+118        def _parse_conjunction(self) -> t.Optional[exp.Expression]:
+119            this = super()._parse_conjunction()
+120
+121            if self._match(TokenType.PLACEHOLDER):
+122                return self.expression(
+123                    exp.If,
+124                    this=this,
+125                    true=self._parse_conjunction(),
+126                    false=self._match(TokenType.COLON) and self._parse_conjunction(),
+127                )
 128
-129        def _parse_placeholder(self) -> t.Optional[exp.Expression]:
-130            """
-131            Parse a placeholder expression like SELECT {abc: UInt32} or FROM {table: Identifier}
-132            https://clickhouse.com/docs/en/sql-reference/syntax#defining-and-using-query-parameters
-133            """
-134            if not self._match(TokenType.L_BRACE):
-135                return None
-136
-137            this = self._parse_id_var()
-138            self._match(TokenType.COLON)
-139            kind = self._parse_types(check_func=False) or (
-140                self._match_text_seq("IDENTIFIER") and "Identifier"
-141            )
-142
-143            if not kind:
-144                self.raise_error("Expecting a placeholder type or 'Identifier' for tables")
-145            elif not self._match(TokenType.R_BRACE):
-146                self.raise_error("Expecting }")
-147
-148            return self.expression(exp.Placeholder, this=this, kind=kind)
+129            return this
+130
+131        def _parse_placeholder(self) -> t.Optional[exp.Expression]:
+132            """
+133            Parse a placeholder expression like SELECT {abc: UInt32} or FROM {table: Identifier}
+134            https://clickhouse.com/docs/en/sql-reference/syntax#defining-and-using-query-parameters
+135            """
+136            if not self._match(TokenType.L_BRACE):
+137                return None
+138
+139            this = self._parse_id_var()
+140            self._match(TokenType.COLON)
+141            kind = self._parse_types(check_func=False) or (
+142                self._match_text_seq("IDENTIFIER") and "Identifier"
+143            )
+144
+145            if not kind:
+146                self.raise_error("Expecting a placeholder type or 'Identifier' for tables")
+147            elif not self._match(TokenType.R_BRACE):
+148                self.raise_error("Expecting }")
 149
-150        def _parse_in(
-151            self, this: t.Optional[exp.Expression], is_global: bool = False
-152        ) -> exp.Expression:
-153            this = super()._parse_in(this)
-154            this.set("is_global", is_global)
-155            return this
-156
-157        def _parse_table(
-158            self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
-159        ) -> t.Optional[exp.Expression]:
-160            this = super()._parse_table(schema=schema, alias_tokens=alias_tokens)
-161
-162            if self._match(TokenType.FINAL):
-163                this = self.expression(exp.Final, this=this)
-164
-165            return this
+150            return self.expression(exp.Placeholder, this=this, kind=kind)
+151
+152        def _parse_in(
+153            self, this: t.Optional[exp.Expression], is_global: bool = False
+154        ) -> exp.Expression:
+155            this = super()._parse_in(this)
+156            this.set("is_global", is_global)
+157            return this
+158
+159        def _parse_table(
+160            self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
+161        ) -> t.Optional[exp.Expression]:
+162            this = super()._parse_table(schema=schema, alias_tokens=alias_tokens)
+163
+164            if self._match(TokenType.FINAL):
+165                this = self.expression(exp.Final, this=this)
 166
-167        def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
-168            return super()._parse_position(haystack_first=True)
-169
-170        # https://clickhouse.com/docs/en/sql-reference/statements/select/with/
-171        def _parse_cte(self) -> exp.Expression:
-172            index = self._index
-173            try:
-174                # WITH <identifier> AS <subquery expression>
-175                return super()._parse_cte()
-176            except ParseError:
-177                # WITH <expression> AS <identifier>
-178                self._retreat(index)
-179                statement = self._parse_statement()
-180
-181                if statement and isinstance(statement.this, exp.Alias):
-182                    self.raise_error("Expected CTE to have alias")
-183
-184                return self.expression(exp.CTE, this=statement, alias=statement and statement.this)
+167            return this
+168
+169        def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
+170            return super()._parse_position(haystack_first=True)
+171
+172        # https://clickhouse.com/docs/en/sql-reference/statements/select/with/
+173        def _parse_cte(self) -> exp.Expression:
+174            index = self._index
+175            try:
+176                # WITH <identifier> AS <subquery expression>
+177                return super()._parse_cte()
+178            except ParseError:
+179                # WITH <expression> AS <identifier>
+180                self._retreat(index)
+181                statement = self._parse_statement()
+182
+183                if statement and isinstance(statement.this, exp.Alias):
+184                    self.raise_error("Expected CTE to have alias")
 185
-186        def _parse_join_side_and_kind(
-187            self,
-188        ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
-189            is_global = self._match(TokenType.GLOBAL) and self._prev
-190            kind_pre = self._match_set(self.JOIN_KINDS, advance=False) and self._prev
-191            if kind_pre:
-192                kind = self._match_set(self.JOIN_KINDS) and self._prev
-193                side = self._match_set(self.JOIN_SIDES) and self._prev
-194                return is_global, side, kind
-195            return (
-196                is_global,
-197                self._match_set(self.JOIN_SIDES) and self._prev,
-198                self._match_set(self.JOIN_KINDS) and self._prev,
-199            )
-200
-201        def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
-202            join = super()._parse_join(skip_join_token)
-203
-204            if join:
-205                join.set("global", join.args.pop("natural", None))
-206            return join
-207
-208        def _parse_function(
-209            self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
-210        ) -> t.Optional[exp.Expression]:
-211            func = super()._parse_function(functions, anonymous)
-212
-213            if isinstance(func, exp.Anonymous):
-214                params = self._parse_func_params(func)
-215
-216                if params:
-217                    return self.expression(
-218                        exp.ParameterizedAgg,
-219                        this=func.this,
-220                        expressions=func.expressions,
-221                        params=params,
-222                    )
-223
-224            return func
+186                return self.expression(exp.CTE, this=statement, alias=statement and statement.this)
+187
+188        def _parse_join_side_and_kind(
+189            self,
+190        ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
+191            is_global = self._match(TokenType.GLOBAL) and self._prev
+192            kind_pre = self._match_set(self.JOIN_KINDS, advance=False) and self._prev
+193            if kind_pre:
+194                kind = self._match_set(self.JOIN_KINDS) and self._prev
+195                side = self._match_set(self.JOIN_SIDES) and self._prev
+196                return is_global, side, kind
+197            return (
+198                is_global,
+199                self._match_set(self.JOIN_SIDES) and self._prev,
+200                self._match_set(self.JOIN_KINDS) and self._prev,
+201            )
+202
+203        def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
+204            join = super()._parse_join(skip_join_token)
+205
+206            if join:
+207                join.set("global", join.args.pop("natural", None))
+208            return join
+209
+210        def _parse_function(
+211            self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
+212        ) -> t.Optional[exp.Expression]:
+213            func = super()._parse_function(functions, anonymous)
+214
+215            if isinstance(func, exp.Anonymous):
+216                params = self._parse_func_params(func)
+217
+218                if params:
+219                    return self.expression(
+220                        exp.ParameterizedAgg,
+221                        this=func.this,
+222                        expressions=func.expressions,
+223                        params=params,
+224                    )
 225
-226        def _parse_func_params(
-227            self, this: t.Optional[exp.Func] = None
-228        ) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-229            if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN):
-230                return self._parse_csv(self._parse_lambda)
-231            if self._match(TokenType.L_PAREN):
-232                params = self._parse_csv(self._parse_lambda)
-233                self._match_r_paren(this)
-234                return params
-235            return None
-236
-237        def _parse_quantile(self) -> exp.Quantile:
-238            this = self._parse_lambda()
-239            params = self._parse_func_params()
-240            if params:
-241                return self.expression(exp.Quantile, this=params[0], quantile=this)
-242            return self.expression(exp.Quantile, this=this, quantile=exp.Literal.number(0.5))
-243
-244        def _parse_wrapped_id_vars(
-245            self, optional: bool = False
-246        ) -> t.List[t.Optional[exp.Expression]]:
-247            return super()._parse_wrapped_id_vars(optional=True)
-248
-249    class Generator(generator.Generator):
-250        STRUCT_DELIMITER = ("(", ")")
-251
-252        TYPE_MAPPING = {
-253            **generator.Generator.TYPE_MAPPING,
-254            exp.DataType.Type.ARRAY: "Array",
-255            exp.DataType.Type.BIGINT: "Int64",
-256            exp.DataType.Type.DATETIME64: "DateTime64",
-257            exp.DataType.Type.DOUBLE: "Float64",
-258            exp.DataType.Type.FLOAT: "Float32",
-259            exp.DataType.Type.INT: "Int32",
-260            exp.DataType.Type.INT128: "Int128",
-261            exp.DataType.Type.INT256: "Int256",
-262            exp.DataType.Type.MAP: "Map",
-263            exp.DataType.Type.NULLABLE: "Nullable",
-264            exp.DataType.Type.SMALLINT: "Int16",
-265            exp.DataType.Type.STRUCT: "Tuple",
-266            exp.DataType.Type.TINYINT: "Int8",
-267            exp.DataType.Type.UBIGINT: "UInt64",
-268            exp.DataType.Type.UINT: "UInt32",
-269            exp.DataType.Type.UINT128: "UInt128",
-270            exp.DataType.Type.UINT256: "UInt256",
-271            exp.DataType.Type.USMALLINT: "UInt16",
-272            exp.DataType.Type.UTINYINT: "UInt8",
-273        }
-274
-275        TRANSFORMS = {
-276            **generator.Generator.TRANSFORMS,
-277            exp.AnyValue: rename_func("any"),
-278            exp.ApproxDistinct: rename_func("uniq"),
-279            exp.Array: inline_array_sql,
-280            exp.CastToStrType: rename_func("CAST"),
-281            exp.Final: lambda self, e: f"{self.sql(e, 'this')} FINAL",
-282            exp.Map: lambda self, e: _lower_func(var_map_sql(self, e)),
-283            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-284            exp.Pivot: no_pivot_sql,
-285            exp.Quantile: lambda self, e: self.func("quantile", e.args.get("quantile"))
-286            + f"({self.sql(e, 'this')})",
-287            exp.RegexpLike: lambda self, e: f"match({self.format_args(e.this, e.expression)})",
-288            exp.StrPosition: lambda self, e: f"position({self.format_args(e.this, e.args.get('substr'), e.args.get('position'))})",
-289            exp.VarMap: lambda self, e: _lower_func(var_map_sql(self, e)),
-290        }
-291
-292        PROPERTIES_LOCATION = {
-293            **generator.Generator.PROPERTIES_LOCATION,
-294            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-295            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-296        }
-297
-298        JOIN_HINTS = False
-299        TABLE_HINTS = False
-300        EXPLICIT_UNION = True
-301        GROUPINGS_SEP = ""
-302
-303        def cte_sql(self, expression: exp.CTE) -> str:
-304            if isinstance(expression.this, exp.Alias):
-305                return self.sql(expression, "this")
-306
-307            return super().cte_sql(expression)
+226            return func
+227
+228        def _parse_func_params(
+229            self, this: t.Optional[exp.Func] = None
+230        ) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+231            if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN):
+232                return self._parse_csv(self._parse_lambda)
+233            if self._match(TokenType.L_PAREN):
+234                params = self._parse_csv(self._parse_lambda)
+235                self._match_r_paren(this)
+236                return params
+237            return None
+238
+239        def _parse_quantile(self) -> exp.Quantile:
+240            this = self._parse_lambda()
+241            params = self._parse_func_params()
+242            if params:
+243                return self.expression(exp.Quantile, this=params[0], quantile=this)
+244            return self.expression(exp.Quantile, this=this, quantile=exp.Literal.number(0.5))
+245
+246        def _parse_wrapped_id_vars(
+247            self, optional: bool = False
+248        ) -> t.List[t.Optional[exp.Expression]]:
+249            return super()._parse_wrapped_id_vars(optional=True)
+250
+251    class Generator(generator.Generator):
+252        STRUCT_DELIMITER = ("(", ")")
+253
+254        TYPE_MAPPING = {
+255            **generator.Generator.TYPE_MAPPING,
+256            exp.DataType.Type.ARRAY: "Array",
+257            exp.DataType.Type.BIGINT: "Int64",
+258            exp.DataType.Type.DATETIME64: "DateTime64",
+259            exp.DataType.Type.DOUBLE: "Float64",
+260            exp.DataType.Type.FLOAT: "Float32",
+261            exp.DataType.Type.INT: "Int32",
+262            exp.DataType.Type.INT128: "Int128",
+263            exp.DataType.Type.INT256: "Int256",
+264            exp.DataType.Type.MAP: "Map",
+265            exp.DataType.Type.NULLABLE: "Nullable",
+266            exp.DataType.Type.SMALLINT: "Int16",
+267            exp.DataType.Type.STRUCT: "Tuple",
+268            exp.DataType.Type.TINYINT: "Int8",
+269            exp.DataType.Type.UBIGINT: "UInt64",
+270            exp.DataType.Type.UINT: "UInt32",
+271            exp.DataType.Type.UINT128: "UInt128",
+272            exp.DataType.Type.UINT256: "UInt256",
+273            exp.DataType.Type.USMALLINT: "UInt16",
+274            exp.DataType.Type.UTINYINT: "UInt8",
+275        }
+276
+277        TRANSFORMS = {
+278            **generator.Generator.TRANSFORMS,
+279            exp.AnyValue: rename_func("any"),
+280            exp.ApproxDistinct: rename_func("uniq"),
+281            exp.Array: inline_array_sql,
+282            exp.CastToStrType: rename_func("CAST"),
+283            exp.Final: lambda self, e: f"{self.sql(e, 'this')} FINAL",
+284            exp.Map: lambda self, e: _lower_func(var_map_sql(self, e)),
+285            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+286            exp.Pivot: no_pivot_sql,
+287            exp.Quantile: lambda self, e: self.func("quantile", e.args.get("quantile"))
+288            + f"({self.sql(e, 'this')})",
+289            exp.RegexpLike: lambda self, e: f"match({self.format_args(e.this, e.expression)})",
+290            exp.StrPosition: lambda self, e: f"position({self.format_args(e.this, e.args.get('substr'), e.args.get('position'))})",
+291            exp.VarMap: lambda self, e: _lower_func(var_map_sql(self, e)),
+292        }
+293
+294        PROPERTIES_LOCATION = {
+295            **generator.Generator.PROPERTIES_LOCATION,
+296            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+297            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+298        }
+299
+300        JOIN_HINTS = False
+301        TABLE_HINTS = False
+302        EXPLICIT_UNION = True
+303        GROUPINGS_SEP = ""
+304
+305        def cte_sql(self, expression: exp.CTE) -> str:
+306            if isinstance(expression.this, exp.Alias):
+307                return self.sql(expression, "this")
 308
-309        def after_limit_modifiers(self, expression):
-310            return super().after_limit_modifiers(expression) + [
-311                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
-312                if expression.args.get("settings")
-313                else "",
-314                self.seg("FORMAT ") + self.sql(expression, "format")
-315                if expression.args.get("format")
-316                else "",
-317            ]
-318
-319        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
-320            params = self.expressions(expression, "params", flat=True)
-321            return self.func(expression.name, *expression.expressions) + f"({params})"
-322
-323        def placeholder_sql(self, expression: exp.Placeholder) -> str:
-324            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
+309            return super().cte_sql(expression)
+310
+311        def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+312            return super().after_limit_modifiers(expression) + [
+313                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
+314                if expression.args.get("settings")
+315                else "",
+316                self.seg("FORMAT ") + self.sql(expression, "format")
+317                if expression.args.get("format")
+318                else "",
+319            ]
+320
+321        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
+322            params = self.expressions(expression, "params", flat=True)
+323            return self.func(expression.name, *expression.expressions) + f"({params})"
+324
+325        def placeholder_sql(self, expression: exp.Placeholder) -> str:
+326            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
    @@ -828,186 +832,188 @@
    Inherited Members
    65 "UNIQ": exp.ApproxDistinct.from_arg_list, 66 } 67 - 68 FUNCTION_PARSERS = { - 69 **parser.Parser.FUNCTION_PARSERS, - 70 "QUANTILE": lambda self: self._parse_quantile(), - 71 } - 72 - 73 FUNCTION_PARSERS.pop("MATCH") + 68 FUNCTIONS_WITH_ALIASED_ARGS = {*parser.Parser.FUNCTIONS_WITH_ALIASED_ARGS, "TUPLE"} + 69 + 70 FUNCTION_PARSERS = { + 71 **parser.Parser.FUNCTION_PARSERS, + 72 "QUANTILE": lambda self: self._parse_quantile(), + 73 } 74 - 75 NO_PAREN_FUNCTION_PARSERS = parser.Parser.NO_PAREN_FUNCTION_PARSERS.copy() - 76 NO_PAREN_FUNCTION_PARSERS.pop(TokenType.ANY) - 77 - 78 RANGE_PARSERS = { - 79 **parser.Parser.RANGE_PARSERS, - 80 TokenType.GLOBAL: lambda self, this: self._match(TokenType.IN) - 81 and self._parse_in(this, is_global=True), - 82 } - 83 - 84 # The PLACEHOLDER entry is popped because 1) it doesn't affect Clickhouse (it corresponds to - 85 # the postgres-specific JSONBContains parser) and 2) it makes parsing the ternary op simpler. - 86 COLUMN_OPERATORS = parser.Parser.COLUMN_OPERATORS.copy() - 87 COLUMN_OPERATORS.pop(TokenType.PLACEHOLDER) - 88 - 89 JOIN_KINDS = { - 90 *parser.Parser.JOIN_KINDS, - 91 TokenType.ANY, - 92 TokenType.ASOF, - 93 TokenType.ANTI, - 94 TokenType.SEMI, - 95 } - 96 - 97 TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - { - 98 TokenType.ANY, - 99 TokenType.ASOF, -100 TokenType.SEMI, -101 TokenType.ANTI, -102 TokenType.SETTINGS, -103 TokenType.FORMAT, -104 } -105 -106 LOG_DEFAULTS_TO_LN = True + 75 FUNCTION_PARSERS.pop("MATCH") + 76 + 77 NO_PAREN_FUNCTION_PARSERS = parser.Parser.NO_PAREN_FUNCTION_PARSERS.copy() + 78 NO_PAREN_FUNCTION_PARSERS.pop(TokenType.ANY) + 79 + 80 RANGE_PARSERS = { + 81 **parser.Parser.RANGE_PARSERS, + 82 TokenType.GLOBAL: lambda self, this: self._match(TokenType.IN) + 83 and self._parse_in(this, is_global=True), + 84 } + 85 + 86 # The PLACEHOLDER entry is popped because 1) it doesn't affect Clickhouse (it corresponds to + 87 # the postgres-specific JSONBContains parser) and 2) it makes parsing the ternary op simpler. + 88 COLUMN_OPERATORS = parser.Parser.COLUMN_OPERATORS.copy() + 89 COLUMN_OPERATORS.pop(TokenType.PLACEHOLDER) + 90 + 91 JOIN_KINDS = { + 92 *parser.Parser.JOIN_KINDS, + 93 TokenType.ANY, + 94 TokenType.ASOF, + 95 TokenType.ANTI, + 96 TokenType.SEMI, + 97 } + 98 + 99 TABLE_ALIAS_TOKENS = {*parser.Parser.TABLE_ALIAS_TOKENS} - { +100 TokenType.ANY, +101 TokenType.ASOF, +102 TokenType.SEMI, +103 TokenType.ANTI, +104 TokenType.SETTINGS, +105 TokenType.FORMAT, +106 } 107 -108 QUERY_MODIFIER_PARSERS = { -109 **parser.Parser.QUERY_MODIFIER_PARSERS, -110 "settings": lambda self: self._parse_csv(self._parse_conjunction) -111 if self._match(TokenType.SETTINGS) -112 else None, -113 "format": lambda self: self._parse_id_var() if self._match(TokenType.FORMAT) else None, -114 } -115 -116 def _parse_conjunction(self) -> t.Optional[exp.Expression]: -117 this = super()._parse_conjunction() -118 -119 if self._match(TokenType.PLACEHOLDER): -120 return self.expression( -121 exp.If, -122 this=this, -123 true=self._parse_conjunction(), -124 false=self._match(TokenType.COLON) and self._parse_conjunction(), -125 ) -126 -127 return this +108 LOG_DEFAULTS_TO_LN = True +109 +110 QUERY_MODIFIER_PARSERS = { +111 **parser.Parser.QUERY_MODIFIER_PARSERS, +112 "settings": lambda self: self._parse_csv(self._parse_conjunction) +113 if self._match(TokenType.SETTINGS) +114 else None, +115 "format": lambda self: self._parse_id_var() if self._match(TokenType.FORMAT) else None, +116 } +117 +118 def _parse_conjunction(self) -> t.Optional[exp.Expression]: +119 this = super()._parse_conjunction() +120 +121 if self._match(TokenType.PLACEHOLDER): +122 return self.expression( +123 exp.If, +124 this=this, +125 true=self._parse_conjunction(), +126 false=self._match(TokenType.COLON) and self._parse_conjunction(), +127 ) 128 -129 def _parse_placeholder(self) -> t.Optional[exp.Expression]: -130 """ -131 Parse a placeholder expression like SELECT {abc: UInt32} or FROM {table: Identifier} -132 https://clickhouse.com/docs/en/sql-reference/syntax#defining-and-using-query-parameters -133 """ -134 if not self._match(TokenType.L_BRACE): -135 return None -136 -137 this = self._parse_id_var() -138 self._match(TokenType.COLON) -139 kind = self._parse_types(check_func=False) or ( -140 self._match_text_seq("IDENTIFIER") and "Identifier" -141 ) -142 -143 if not kind: -144 self.raise_error("Expecting a placeholder type or 'Identifier' for tables") -145 elif not self._match(TokenType.R_BRACE): -146 self.raise_error("Expecting }") -147 -148 return self.expression(exp.Placeholder, this=this, kind=kind) +129 return this +130 +131 def _parse_placeholder(self) -> t.Optional[exp.Expression]: +132 """ +133 Parse a placeholder expression like SELECT {abc: UInt32} or FROM {table: Identifier} +134 https://clickhouse.com/docs/en/sql-reference/syntax#defining-and-using-query-parameters +135 """ +136 if not self._match(TokenType.L_BRACE): +137 return None +138 +139 this = self._parse_id_var() +140 self._match(TokenType.COLON) +141 kind = self._parse_types(check_func=False) or ( +142 self._match_text_seq("IDENTIFIER") and "Identifier" +143 ) +144 +145 if not kind: +146 self.raise_error("Expecting a placeholder type or 'Identifier' for tables") +147 elif not self._match(TokenType.R_BRACE): +148 self.raise_error("Expecting }") 149 -150 def _parse_in( -151 self, this: t.Optional[exp.Expression], is_global: bool = False -152 ) -> exp.Expression: -153 this = super()._parse_in(this) -154 this.set("is_global", is_global) -155 return this -156 -157 def _parse_table( -158 self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None -159 ) -> t.Optional[exp.Expression]: -160 this = super()._parse_table(schema=schema, alias_tokens=alias_tokens) -161 -162 if self._match(TokenType.FINAL): -163 this = self.expression(exp.Final, this=this) -164 -165 return this +150 return self.expression(exp.Placeholder, this=this, kind=kind) +151 +152 def _parse_in( +153 self, this: t.Optional[exp.Expression], is_global: bool = False +154 ) -> exp.Expression: +155 this = super()._parse_in(this) +156 this.set("is_global", is_global) +157 return this +158 +159 def _parse_table( +160 self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None +161 ) -> t.Optional[exp.Expression]: +162 this = super()._parse_table(schema=schema, alias_tokens=alias_tokens) +163 +164 if self._match(TokenType.FINAL): +165 this = self.expression(exp.Final, this=this) 166 -167 def _parse_position(self, haystack_first: bool = False) -> exp.Expression: -168 return super()._parse_position(haystack_first=True) -169 -170 # https://clickhouse.com/docs/en/sql-reference/statements/select/with/ -171 def _parse_cte(self) -> exp.Expression: -172 index = self._index -173 try: -174 # WITH <identifier> AS <subquery expression> -175 return super()._parse_cte() -176 except ParseError: -177 # WITH <expression> AS <identifier> -178 self._retreat(index) -179 statement = self._parse_statement() -180 -181 if statement and isinstance(statement.this, exp.Alias): -182 self.raise_error("Expected CTE to have alias") -183 -184 return self.expression(exp.CTE, this=statement, alias=statement and statement.this) +167 return this +168 +169 def _parse_position(self, haystack_first: bool = False) -> exp.Expression: +170 return super()._parse_position(haystack_first=True) +171 +172 # https://clickhouse.com/docs/en/sql-reference/statements/select/with/ +173 def _parse_cte(self) -> exp.Expression: +174 index = self._index +175 try: +176 # WITH <identifier> AS <subquery expression> +177 return super()._parse_cte() +178 except ParseError: +179 # WITH <expression> AS <identifier> +180 self._retreat(index) +181 statement = self._parse_statement() +182 +183 if statement and isinstance(statement.this, exp.Alias): +184 self.raise_error("Expected CTE to have alias") 185 -186 def _parse_join_side_and_kind( -187 self, -188 ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]: -189 is_global = self._match(TokenType.GLOBAL) and self._prev -190 kind_pre = self._match_set(self.JOIN_KINDS, advance=False) and self._prev -191 if kind_pre: -192 kind = self._match_set(self.JOIN_KINDS) and self._prev -193 side = self._match_set(self.JOIN_SIDES) and self._prev -194 return is_global, side, kind -195 return ( -196 is_global, -197 self._match_set(self.JOIN_SIDES) and self._prev, -198 self._match_set(self.JOIN_KINDS) and self._prev, -199 ) -200 -201 def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]: -202 join = super()._parse_join(skip_join_token) -203 -204 if join: -205 join.set("global", join.args.pop("natural", None)) -206 return join -207 -208 def _parse_function( -209 self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False -210 ) -> t.Optional[exp.Expression]: -211 func = super()._parse_function(functions, anonymous) -212 -213 if isinstance(func, exp.Anonymous): -214 params = self._parse_func_params(func) -215 -216 if params: -217 return self.expression( -218 exp.ParameterizedAgg, -219 this=func.this, -220 expressions=func.expressions, -221 params=params, -222 ) -223 -224 return func +186 return self.expression(exp.CTE, this=statement, alias=statement and statement.this) +187 +188 def _parse_join_side_and_kind( +189 self, +190 ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]: +191 is_global = self._match(TokenType.GLOBAL) and self._prev +192 kind_pre = self._match_set(self.JOIN_KINDS, advance=False) and self._prev +193 if kind_pre: +194 kind = self._match_set(self.JOIN_KINDS) and self._prev +195 side = self._match_set(self.JOIN_SIDES) and self._prev +196 return is_global, side, kind +197 return ( +198 is_global, +199 self._match_set(self.JOIN_SIDES) and self._prev, +200 self._match_set(self.JOIN_KINDS) and self._prev, +201 ) +202 +203 def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]: +204 join = super()._parse_join(skip_join_token) +205 +206 if join: +207 join.set("global", join.args.pop("natural", None)) +208 return join +209 +210 def _parse_function( +211 self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False +212 ) -> t.Optional[exp.Expression]: +213 func = super()._parse_function(functions, anonymous) +214 +215 if isinstance(func, exp.Anonymous): +216 params = self._parse_func_params(func) +217 +218 if params: +219 return self.expression( +220 exp.ParameterizedAgg, +221 this=func.this, +222 expressions=func.expressions, +223 params=params, +224 ) 225 -226 def _parse_func_params( -227 self, this: t.Optional[exp.Func] = None -228 ) -> t.Optional[t.List[t.Optional[exp.Expression]]]: -229 if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN): -230 return self._parse_csv(self._parse_lambda) -231 if self._match(TokenType.L_PAREN): -232 params = self._parse_csv(self._parse_lambda) -233 self._match_r_paren(this) -234 return params -235 return None -236 -237 def _parse_quantile(self) -> exp.Quantile: -238 this = self._parse_lambda() -239 params = self._parse_func_params() -240 if params: -241 return self.expression(exp.Quantile, this=params[0], quantile=this) -242 return self.expression(exp.Quantile, this=this, quantile=exp.Literal.number(0.5)) -243 -244 def _parse_wrapped_id_vars( -245 self, optional: bool = False -246 ) -> t.List[t.Optional[exp.Expression]]: -247 return super()._parse_wrapped_id_vars(optional=True) +226 return func +227 +228 def _parse_func_params( +229 self, this: t.Optional[exp.Func] = None +230 ) -> t.Optional[t.List[t.Optional[exp.Expression]]]: +231 if self._match_pair(TokenType.R_PAREN, TokenType.L_PAREN): +232 return self._parse_csv(self._parse_lambda) +233 if self._match(TokenType.L_PAREN): +234 params = self._parse_csv(self._parse_lambda) +235 self._match_r_paren(this) +236 return params +237 return None +238 +239 def _parse_quantile(self) -> exp.Quantile: +240 this = self._parse_lambda() +241 params = self._parse_func_params() +242 if params: +243 return self.expression(exp.Quantile, this=params[0], quantile=this) +244 return self.expression(exp.Quantile, this=this, quantile=exp.Literal.number(0.5)) +245 +246 def _parse_wrapped_id_vars( +247 self, optional: bool = False +248 ) -> t.List[t.Optional[exp.Expression]]: +249 return super()._parse_wrapped_id_vars(optional=True) @@ -1064,82 +1070,82 @@
    Inherited Members
    - 
    249    class Generator(generator.Generator):
-250        STRUCT_DELIMITER = ("(", ")")
-251
-252        TYPE_MAPPING = {
-253            **generator.Generator.TYPE_MAPPING,
-254            exp.DataType.Type.ARRAY: "Array",
-255            exp.DataType.Type.BIGINT: "Int64",
-256            exp.DataType.Type.DATETIME64: "DateTime64",
-257            exp.DataType.Type.DOUBLE: "Float64",
-258            exp.DataType.Type.FLOAT: "Float32",
-259            exp.DataType.Type.INT: "Int32",
-260            exp.DataType.Type.INT128: "Int128",
-261            exp.DataType.Type.INT256: "Int256",
-262            exp.DataType.Type.MAP: "Map",
-263            exp.DataType.Type.NULLABLE: "Nullable",
-264            exp.DataType.Type.SMALLINT: "Int16",
-265            exp.DataType.Type.STRUCT: "Tuple",
-266            exp.DataType.Type.TINYINT: "Int8",
-267            exp.DataType.Type.UBIGINT: "UInt64",
-268            exp.DataType.Type.UINT: "UInt32",
-269            exp.DataType.Type.UINT128: "UInt128",
-270            exp.DataType.Type.UINT256: "UInt256",
-271            exp.DataType.Type.USMALLINT: "UInt16",
-272            exp.DataType.Type.UTINYINT: "UInt8",
-273        }
-274
-275        TRANSFORMS = {
-276            **generator.Generator.TRANSFORMS,
-277            exp.AnyValue: rename_func("any"),
-278            exp.ApproxDistinct: rename_func("uniq"),
-279            exp.Array: inline_array_sql,
-280            exp.CastToStrType: rename_func("CAST"),
-281            exp.Final: lambda self, e: f"{self.sql(e, 'this')} FINAL",
-282            exp.Map: lambda self, e: _lower_func(var_map_sql(self, e)),
-283            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-284            exp.Pivot: no_pivot_sql,
-285            exp.Quantile: lambda self, e: self.func("quantile", e.args.get("quantile"))
-286            + f"({self.sql(e, 'this')})",
-287            exp.RegexpLike: lambda self, e: f"match({self.format_args(e.this, e.expression)})",
-288            exp.StrPosition: lambda self, e: f"position({self.format_args(e.this, e.args.get('substr'), e.args.get('position'))})",
-289            exp.VarMap: lambda self, e: _lower_func(var_map_sql(self, e)),
-290        }
-291
-292        PROPERTIES_LOCATION = {
-293            **generator.Generator.PROPERTIES_LOCATION,
-294            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-295            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-296        }
-297
-298        JOIN_HINTS = False
-299        TABLE_HINTS = False
-300        EXPLICIT_UNION = True
-301        GROUPINGS_SEP = ""
-302
-303        def cte_sql(self, expression: exp.CTE) -> str:
-304            if isinstance(expression.this, exp.Alias):
-305                return self.sql(expression, "this")
-306
-307            return super().cte_sql(expression)
+            
    251    class Generator(generator.Generator):
+252        STRUCT_DELIMITER = ("(", ")")
+253
+254        TYPE_MAPPING = {
+255            **generator.Generator.TYPE_MAPPING,
+256            exp.DataType.Type.ARRAY: "Array",
+257            exp.DataType.Type.BIGINT: "Int64",
+258            exp.DataType.Type.DATETIME64: "DateTime64",
+259            exp.DataType.Type.DOUBLE: "Float64",
+260            exp.DataType.Type.FLOAT: "Float32",
+261            exp.DataType.Type.INT: "Int32",
+262            exp.DataType.Type.INT128: "Int128",
+263            exp.DataType.Type.INT256: "Int256",
+264            exp.DataType.Type.MAP: "Map",
+265            exp.DataType.Type.NULLABLE: "Nullable",
+266            exp.DataType.Type.SMALLINT: "Int16",
+267            exp.DataType.Type.STRUCT: "Tuple",
+268            exp.DataType.Type.TINYINT: "Int8",
+269            exp.DataType.Type.UBIGINT: "UInt64",
+270            exp.DataType.Type.UINT: "UInt32",
+271            exp.DataType.Type.UINT128: "UInt128",
+272            exp.DataType.Type.UINT256: "UInt256",
+273            exp.DataType.Type.USMALLINT: "UInt16",
+274            exp.DataType.Type.UTINYINT: "UInt8",
+275        }
+276
+277        TRANSFORMS = {
+278            **generator.Generator.TRANSFORMS,
+279            exp.AnyValue: rename_func("any"),
+280            exp.ApproxDistinct: rename_func("uniq"),
+281            exp.Array: inline_array_sql,
+282            exp.CastToStrType: rename_func("CAST"),
+283            exp.Final: lambda self, e: f"{self.sql(e, 'this')} FINAL",
+284            exp.Map: lambda self, e: _lower_func(var_map_sql(self, e)),
+285            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+286            exp.Pivot: no_pivot_sql,
+287            exp.Quantile: lambda self, e: self.func("quantile", e.args.get("quantile"))
+288            + f"({self.sql(e, 'this')})",
+289            exp.RegexpLike: lambda self, e: f"match({self.format_args(e.this, e.expression)})",
+290            exp.StrPosition: lambda self, e: f"position({self.format_args(e.this, e.args.get('substr'), e.args.get('position'))})",
+291            exp.VarMap: lambda self, e: _lower_func(var_map_sql(self, e)),
+292        }
+293
+294        PROPERTIES_LOCATION = {
+295            **generator.Generator.PROPERTIES_LOCATION,
+296            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+297            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+298        }
+299
+300        JOIN_HINTS = False
+301        TABLE_HINTS = False
+302        EXPLICIT_UNION = True
+303        GROUPINGS_SEP = ""
+304
+305        def cte_sql(self, expression: exp.CTE) -> str:
+306            if isinstance(expression.this, exp.Alias):
+307                return self.sql(expression, "this")
 308
-309        def after_limit_modifiers(self, expression):
-310            return super().after_limit_modifiers(expression) + [
-311                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
-312                if expression.args.get("settings")
-313                else "",
-314                self.seg("FORMAT ") + self.sql(expression, "format")
-315                if expression.args.get("format")
-316                else "",
-317            ]
-318
-319        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
-320            params = self.expressions(expression, "params", flat=True)
-321            return self.func(expression.name, *expression.expressions) + f"({params})"
-322
-323        def placeholder_sql(self, expression: exp.Placeholder) -> str:
-324            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
+309            return super().cte_sql(expression)
+310
+311        def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+312            return super().after_limit_modifiers(expression) + [
+313                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
+314                if expression.args.get("settings")
+315                else "",
+316                self.seg("FORMAT ") + self.sql(expression, "format")
+317                if expression.args.get("format")
+318                else "",
+319            ]
+320
+321        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
+322            params = self.expressions(expression, "params", flat=True)
+323            return self.func(expression.name, *expression.expressions) + f"({params})"
+324
+325        def placeholder_sql(self, expression: exp.Placeholder) -> str:
+326            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
 
    
 
 
@@ -1162,6 +1168,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1204,11 +1212,11 @@ 
    Arguments:
    - 
    303        def cte_sql(self, expression: exp.CTE) -> str:
-304            if isinstance(expression.this, exp.Alias):
-305                return self.sql(expression, "this")
-306
-307            return super().cte_sql(expression)
+            
    305        def cte_sql(self, expression: exp.CTE) -> str:
+306            if isinstance(expression.this, exp.Alias):
+307                return self.sql(expression, "this")
+308
+309            return super().cte_sql(expression)
 
    
 
 
@@ -1220,21 +1228,21 @@ 
    Arguments:
    
 
    
             
         def
-        after_limit_modifiers(self, expression):
+        after_limit_modifiers(self, expression: sqlglot.expressions.Expression) -> List[str]:
 
                 
 
     
    
     
-            
    309        def after_limit_modifiers(self, expression):
-310            return super().after_limit_modifiers(expression) + [
-311                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
-312                if expression.args.get("settings")
-313                else "",
-314                self.seg("FORMAT ") + self.sql(expression, "format")
-315                if expression.args.get("format")
-316                else "",
-317            ]
+            
    311        def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+312            return super().after_limit_modifiers(expression) + [
+313                self.seg("SETTINGS ") + self.expressions(expression, key="settings", flat=True)
+314                if expression.args.get("settings")
+315                else "",
+316                self.seg("FORMAT ") + self.sql(expression, "format")
+317                if expression.args.get("format")
+318                else "",
+319            ]
 
    
 
 
@@ -1252,9 +1260,9 @@ 
    Arguments:
    
 
     
    
     
-            
    319        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
-320            params = self.expressions(expression, "params", flat=True)
-321            return self.func(expression.name, *expression.expressions) + f"({params})"
+            
    321        def parameterizedagg_sql(self, expression: exp.Anonymous) -> str:
+322            params = self.expressions(expression, "params", flat=True)
+323            return self.func(expression.name, *expression.expressions) + f"({params})"
 
    
 
 
@@ -1272,8 +1280,8 @@ 
    Arguments:
    
 
     
    
     
-            
    323        def placeholder_sql(self, expression: exp.Placeholder) -> str:
-324            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
+            
    325        def placeholder_sql(self, expression: exp.Placeholder) -> str:
+326            return f"{{{expression.name}: {self.sql(expression, 'kind')}}}"
 
    
 
 
@@ -1318,6 +1326,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/databricks.html b/docs/sqlglot/dialects/databricks.html
index a9664fde7a..7f7af69e66 100644
--- a/docs/sqlglot/dialects/databricks.html
+++ b/docs/sqlglot/dialects/databricks.html
@@ -323,6 +323,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -392,6 +394,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    directory_sql
    
                 
    delete_sql
    
diff --git a/docs/sqlglot/dialects/dialect.html b/docs/sqlglot/dialects/dialect.html
index 5a2b64a007..70906dc437 100644
--- a/docs/sqlglot/dialects/dialect.html
+++ b/docs/sqlglot/dialects/dialect.html
@@ -270,536 +270,542 @@ 
    
   8from sqlglot.helper import flatten, seq_get
   9from sqlglot.parser import Parser
  10from sqlglot.time import format_time
- 11from sqlglot.tokens import Token, Tokenizer
+ 11from sqlglot.tokens import Token, Tokenizer, TokenType
  12from sqlglot.trie import new_trie
  13
- 14E = t.TypeVar("E", bound=exp.Expression)
- 15
+ 14if t.TYPE_CHECKING:
+ 15    from sqlglot._typing import E
  16
- 17class Dialects(str, Enum):
- 18    DIALECT = ""
- 19
- 20    BIGQUERY = "bigquery"
- 21    CLICKHOUSE = "clickhouse"
- 22    DUCKDB = "duckdb"
- 23    HIVE = "hive"
- 24    MYSQL = "mysql"
- 25    ORACLE = "oracle"
- 26    POSTGRES = "postgres"
- 27    PRESTO = "presto"
- 28    REDSHIFT = "redshift"
- 29    SNOWFLAKE = "snowflake"
- 30    SPARK = "spark"
- 31    SPARK2 = "spark2"
- 32    SQLITE = "sqlite"
- 33    STARROCKS = "starrocks"
- 34    TABLEAU = "tableau"
- 35    TRINO = "trino"
- 36    TSQL = "tsql"
- 37    DATABRICKS = "databricks"
- 38    DRILL = "drill"
- 39    TERADATA = "teradata"
- 40
+ 17
+ 18class Dialects(str, Enum):
+ 19    DIALECT = ""
+ 20
+ 21    BIGQUERY = "bigquery"
+ 22    CLICKHOUSE = "clickhouse"
+ 23    DUCKDB = "duckdb"
+ 24    HIVE = "hive"
+ 25    MYSQL = "mysql"
+ 26    ORACLE = "oracle"
+ 27    POSTGRES = "postgres"
+ 28    PRESTO = "presto"
+ 29    REDSHIFT = "redshift"
+ 30    SNOWFLAKE = "snowflake"
+ 31    SPARK = "spark"
+ 32    SPARK2 = "spark2"
+ 33    SQLITE = "sqlite"
+ 34    STARROCKS = "starrocks"
+ 35    TABLEAU = "tableau"
+ 36    TRINO = "trino"
+ 37    TSQL = "tsql"
+ 38    DATABRICKS = "databricks"
+ 39    DRILL = "drill"
+ 40    TERADATA = "teradata"
  41
- 42class _Dialect(type):
- 43    classes: t.Dict[str, t.Type[Dialect]] = {}
- 44
- 45    def __eq__(cls, other: t.Any) -> bool:
- 46        if cls is other:
- 47            return True
- 48        if isinstance(other, str):
- 49            return cls is cls.get(other)
- 50        if isinstance(other, Dialect):
- 51            return cls is type(other)
- 52
- 53        return False
- 54
- 55    def __hash__(cls) -> int:
- 56        return hash(cls.__name__.lower())
- 57
- 58    @classmethod
- 59    def __getitem__(cls, key: str) -> t.Type[Dialect]:
- 60        return cls.classes[key]
- 61
- 62    @classmethod
- 63    def get(
- 64        cls, key: str, default: t.Optional[t.Type[Dialect]] = None
- 65    ) -> t.Optional[t.Type[Dialect]]:
- 66        return cls.classes.get(key, default)
- 67
- 68    def __new__(cls, clsname, bases, attrs):
- 69        klass = super().__new__(cls, clsname, bases, attrs)
- 70        enum = Dialects.__members__.get(clsname.upper())
- 71        cls.classes[enum.value if enum is not None else clsname.lower()] = klass
- 72
- 73        klass.time_trie = new_trie(klass.time_mapping)
- 74        klass.inverse_time_mapping = {v: k for k, v in klass.time_mapping.items()}
- 75        klass.inverse_time_trie = new_trie(klass.inverse_time_mapping)
- 76
- 77        klass.tokenizer_class = getattr(klass, "Tokenizer", Tokenizer)
- 78        klass.parser_class = getattr(klass, "Parser", Parser)
- 79        klass.generator_class = getattr(klass, "Generator", Generator)
- 80
- 81        klass.quote_start, klass.quote_end = list(klass.tokenizer_class._QUOTES.items())[0]
- 82        klass.identifier_start, klass.identifier_end = list(
- 83            klass.tokenizer_class._IDENTIFIERS.items()
- 84        )[0]
- 85
- 86        klass.bit_start, klass.bit_end = seq_get(
- 87            list(klass.tokenizer_class._BIT_STRINGS.items()), 0
- 88        ) or (None, None)
- 89
- 90        klass.hex_start, klass.hex_end = seq_get(
- 91            list(klass.tokenizer_class._HEX_STRINGS.items()), 0
- 92        ) or (None, None)
- 93
- 94        klass.byte_start, klass.byte_end = seq_get(
- 95            list(klass.tokenizer_class._BYTE_STRINGS.items()), 0
- 96        ) or (None, None)
- 97
- 98        return klass
- 99
-100
-101class Dialect(metaclass=_Dialect):
-102    index_offset = 0
-103    unnest_column_only = False
-104    alias_post_tablesample = False
-105    normalize_functions: t.Optional[str] = "upper"
-106    null_ordering = "nulls_are_small"
-107
-108    date_format = "'%Y-%m-%d'"
-109    dateint_format = "'%Y%m%d'"
-110    time_format = "'%Y-%m-%d %H:%M:%S'"
-111    time_mapping: t.Dict[str, str] = {}
-112
-113    # autofilled
-114    quote_start = None
-115    quote_end = None
-116    identifier_start = None
-117    identifier_end = None
-118
-119    time_trie = None
-120    inverse_time_mapping = None
-121    inverse_time_trie = None
-122    tokenizer_class = None
-123    parser_class = None
-124    generator_class = None
-125
-126    def __eq__(self, other: t.Any) -> bool:
-127        return type(self) == other
-128
-129    def __hash__(self) -> int:
-130        return hash(type(self))
-131
-132    @classmethod
-133    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
-134        if not dialect:
-135            return cls
-136        if isinstance(dialect, _Dialect):
-137            return dialect
-138        if isinstance(dialect, Dialect):
-139            return dialect.__class__
-140
-141        result = cls.get(dialect)
-142        if not result:
-143            raise ValueError(f"Unknown dialect '{dialect}'")
+ 42
+ 43class _Dialect(type):
+ 44    classes: t.Dict[str, t.Type[Dialect]] = {}
+ 45
+ 46    def __eq__(cls, other: t.Any) -> bool:
+ 47        if cls is other:
+ 48            return True
+ 49        if isinstance(other, str):
+ 50            return cls is cls.get(other)
+ 51        if isinstance(other, Dialect):
+ 52            return cls is type(other)
+ 53
+ 54        return False
+ 55
+ 56    def __hash__(cls) -> int:
+ 57        return hash(cls.__name__.lower())
+ 58
+ 59    @classmethod
+ 60    def __getitem__(cls, key: str) -> t.Type[Dialect]:
+ 61        return cls.classes[key]
+ 62
+ 63    @classmethod
+ 64    def get(
+ 65        cls, key: str, default: t.Optional[t.Type[Dialect]] = None
+ 66    ) -> t.Optional[t.Type[Dialect]]:
+ 67        return cls.classes.get(key, default)
+ 68
+ 69    def __new__(cls, clsname, bases, attrs):
+ 70        klass = super().__new__(cls, clsname, bases, attrs)
+ 71        enum = Dialects.__members__.get(clsname.upper())
+ 72        cls.classes[enum.value if enum is not None else clsname.lower()] = klass
+ 73
+ 74        klass.time_trie = new_trie(klass.time_mapping)
+ 75        klass.inverse_time_mapping = {v: k for k, v in klass.time_mapping.items()}
+ 76        klass.inverse_time_trie = new_trie(klass.inverse_time_mapping)
+ 77
+ 78        klass.tokenizer_class = getattr(klass, "Tokenizer", Tokenizer)
+ 79        klass.parser_class = getattr(klass, "Parser", Parser)
+ 80        klass.generator_class = getattr(klass, "Generator", Generator)
+ 81
+ 82        klass.quote_start, klass.quote_end = list(klass.tokenizer_class._QUOTES.items())[0]
+ 83        klass.identifier_start, klass.identifier_end = list(
+ 84            klass.tokenizer_class._IDENTIFIERS.items()
+ 85        )[0]
+ 86
+ 87        def get_start_end(token_type: TokenType) -> t.Tuple[t.Optional[str], t.Optional[str]]:
+ 88            return next(
+ 89                (
+ 90                    (s, e)
+ 91                    for s, (e, t) in klass.tokenizer_class._FORMAT_STRINGS.items()
+ 92                    if t == token_type
+ 93                ),
+ 94                (None, None),
+ 95            )
+ 96
+ 97        klass.bit_start, klass.bit_end = get_start_end(TokenType.BIT_STRING)
+ 98        klass.hex_start, klass.hex_end = get_start_end(TokenType.HEX_STRING)
+ 99        klass.byte_start, klass.byte_end = get_start_end(TokenType.BYTE_STRING)
+100        klass.raw_start, klass.raw_end = get_start_end(TokenType.RAW_STRING)
+101
+102        return klass
+103
+104
+105class Dialect(metaclass=_Dialect):
+106    index_offset = 0
+107    unnest_column_only = False
+108    alias_post_tablesample = False
+109    normalize_functions: t.Optional[str] = "upper"
+110    null_ordering = "nulls_are_small"
+111
+112    date_format = "'%Y-%m-%d'"
+113    dateint_format = "'%Y%m%d'"
+114    time_format = "'%Y-%m-%d %H:%M:%S'"
+115    time_mapping: t.Dict[str, str] = {}
+116
+117    # autofilled
+118    quote_start = None
+119    quote_end = None
+120    identifier_start = None
+121    identifier_end = None
+122
+123    time_trie = None
+124    inverse_time_mapping = None
+125    inverse_time_trie = None
+126    tokenizer_class = None
+127    parser_class = None
+128    generator_class = None
+129
+130    def __eq__(self, other: t.Any) -> bool:
+131        return type(self) == other
+132
+133    def __hash__(self) -> int:
+134        return hash(type(self))
+135
+136    @classmethod
+137    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
+138        if not dialect:
+139            return cls
+140        if isinstance(dialect, _Dialect):
+141            return dialect
+142        if isinstance(dialect, Dialect):
+143            return dialect.__class__
 144
-145        return result
-146
-147    @classmethod
-148    def format_time(
-149        cls, expression: t.Optional[str | exp.Expression]
-150    ) -> t.Optional[exp.Expression]:
-151        if isinstance(expression, str):
-152            return exp.Literal.string(
-153                format_time(
-154                    expression[1:-1],  # the time formats are quoted
-155                    cls.time_mapping,
-156                    cls.time_trie,
-157                )
-158            )
-159        if expression and expression.is_string:
-160            return exp.Literal.string(
-161                format_time(
-162                    expression.this,
-163                    cls.time_mapping,
-164                    cls.time_trie,
-165                )
-166            )
-167        return expression
-168
-169    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
-170        return self.parser(**opts).parse(self.tokenize(sql), sql)
-171
-172    def parse_into(
-173        self, expression_type: exp.IntoType, sql: str, **opts
-174    ) -> t.List[t.Optional[exp.Expression]]:
-175        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
-176
-177    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
-178        return self.generator(**opts).generate(expression)
-179
-180    def transpile(self, sql: str, **opts) -> t.List[str]:
-181        return [self.generate(expression, **opts) for expression in self.parse(sql)]
-182
-183    def tokenize(self, sql: str) -> t.List[Token]:
-184        return self.tokenizer.tokenize(sql)
-185
-186    @property
-187    def tokenizer(self) -> Tokenizer:
-188        if not hasattr(self, "_tokenizer"):
-189            self._tokenizer = self.tokenizer_class()  # type: ignore
-190        return self._tokenizer
-191
-192    def parser(self, **opts) -> Parser:
-193        return self.parser_class(  # type: ignore
-194            **{
-195                "index_offset": self.index_offset,
-196                "unnest_column_only": self.unnest_column_only,
-197                "alias_post_tablesample": self.alias_post_tablesample,
-198                "null_ordering": self.null_ordering,
-199                **opts,
-200            },
-201        )
-202
-203    def generator(self, **opts) -> Generator:
-204        return self.generator_class(  # type: ignore
-205            **{
-206                "quote_start": self.quote_start,
-207                "quote_end": self.quote_end,
-208                "bit_start": self.bit_start,
-209                "bit_end": self.bit_end,
-210                "hex_start": self.hex_start,
-211                "hex_end": self.hex_end,
-212                "byte_start": self.byte_start,
-213                "byte_end": self.byte_end,
-214                "identifier_start": self.identifier_start,
-215                "identifier_end": self.identifier_end,
-216                "string_escape": self.tokenizer_class.STRING_ESCAPES[0],
-217                "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0],
-218                "index_offset": self.index_offset,
-219                "time_mapping": self.inverse_time_mapping,
-220                "time_trie": self.inverse_time_trie,
-221                "unnest_column_only": self.unnest_column_only,
-222                "alias_post_tablesample": self.alias_post_tablesample,
-223                "normalize_functions": self.normalize_functions,
-224                "null_ordering": self.null_ordering,
-225                **opts,
-226            }
-227        )
-228
-229
-230DialectType = t.Union[str, Dialect, t.Type[Dialect], None]
-231
-232
-233def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]:
-234    return lambda self, expression: self.func(name, *flatten(expression.args.values()))
+145        result = cls.get(dialect)
+146        if not result:
+147            raise ValueError(f"Unknown dialect '{dialect}'")
+148
+149        return result
+150
+151    @classmethod
+152    def format_time(
+153        cls, expression: t.Optional[str | exp.Expression]
+154    ) -> t.Optional[exp.Expression]:
+155        if isinstance(expression, str):
+156            return exp.Literal.string(
+157                format_time(
+158                    expression[1:-1],  # the time formats are quoted
+159                    cls.time_mapping,
+160                    cls.time_trie,
+161                )
+162            )
+163        if expression and expression.is_string:
+164            return exp.Literal.string(
+165                format_time(
+166                    expression.this,
+167                    cls.time_mapping,
+168                    cls.time_trie,
+169                )
+170            )
+171        return expression
+172
+173    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
+174        return self.parser(**opts).parse(self.tokenize(sql), sql)
+175
+176    def parse_into(
+177        self, expression_type: exp.IntoType, sql: str, **opts
+178    ) -> t.List[t.Optional[exp.Expression]]:
+179        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
+180
+181    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
+182        return self.generator(**opts).generate(expression)
+183
+184    def transpile(self, sql: str, **opts) -> t.List[str]:
+185        return [self.generate(expression, **opts) for expression in self.parse(sql)]
+186
+187    def tokenize(self, sql: str) -> t.List[Token]:
+188        return self.tokenizer.tokenize(sql)
+189
+190    @property
+191    def tokenizer(self) -> Tokenizer:
+192        if not hasattr(self, "_tokenizer"):
+193            self._tokenizer = self.tokenizer_class()  # type: ignore
+194        return self._tokenizer
+195
+196    def parser(self, **opts) -> Parser:
+197        return self.parser_class(  # type: ignore
+198            **{
+199                "index_offset": self.index_offset,
+200                "unnest_column_only": self.unnest_column_only,
+201                "alias_post_tablesample": self.alias_post_tablesample,
+202                "null_ordering": self.null_ordering,
+203                **opts,
+204            },
+205        )
+206
+207    def generator(self, **opts) -> Generator:
+208        return self.generator_class(  # type: ignore
+209            **{
+210                "quote_start": self.quote_start,
+211                "quote_end": self.quote_end,
+212                "bit_start": self.bit_start,
+213                "bit_end": self.bit_end,
+214                "hex_start": self.hex_start,
+215                "hex_end": self.hex_end,
+216                "byte_start": self.byte_start,
+217                "byte_end": self.byte_end,
+218                "raw_start": self.raw_start,
+219                "raw_end": self.raw_end,
+220                "identifier_start": self.identifier_start,
+221                "identifier_end": self.identifier_end,
+222                "string_escape": self.tokenizer_class.STRING_ESCAPES[0],
+223                "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0],
+224                "index_offset": self.index_offset,
+225                "time_mapping": self.inverse_time_mapping,
+226                "time_trie": self.inverse_time_trie,
+227                "unnest_column_only": self.unnest_column_only,
+228                "alias_post_tablesample": self.alias_post_tablesample,
+229                "normalize_functions": self.normalize_functions,
+230                "null_ordering": self.null_ordering,
+231                **opts,
+232            }
+233        )
+234
 235
-236
-237def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str:
-238    if expression.args.get("accuracy"):
-239        self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy")
-240    return self.func("APPROX_COUNT_DISTINCT", expression.this)
+236DialectType = t.Union[str, Dialect, t.Type[Dialect], None]
+237
+238
+239def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]:
+240    return lambda self, expression: self.func(name, *flatten(expression.args.values()))
 241
 242
-243def if_sql(self: Generator, expression: exp.If) -> str:
-244    return self.func(
-245        "IF", expression.this, expression.args.get("true"), expression.args.get("false")
-246    )
+243def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str:
+244    if expression.args.get("accuracy"):
+245        self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy")
+246    return self.func("APPROX_COUNT_DISTINCT", expression.this)
 247
 248
-249def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str:
-250    return self.binary(expression, "->")
-251
-252
-253def arrow_json_extract_scalar_sql(
-254    self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar
-255) -> str:
-256    return self.binary(expression, "->>")
+249def if_sql(self: Generator, expression: exp.If) -> str:
+250    return self.func(
+251        "IF", expression.this, expression.args.get("true"), expression.args.get("false")
+252    )
+253
+254
+255def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str:
+256    return self.binary(expression, "->")
 257
 258
-259def inline_array_sql(self: Generator, expression: exp.Array) -> str:
-260    return f"[{self.expressions(expression)}]"
-261
-262
-263def no_ilike_sql(self: Generator, expression: exp.ILike) -> str:
-264    return self.like_sql(
-265        exp.Like(
-266            this=exp.Lower(this=expression.this),
-267            expression=expression.args["expression"],
-268        )
-269    )
-270
-271
-272def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str:
-273    zone = self.sql(expression, "this")
-274    return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE"
-275
+259def arrow_json_extract_scalar_sql(
+260    self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar
+261) -> str:
+262    return self.binary(expression, "->>")
+263
+264
+265def inline_array_sql(self: Generator, expression: exp.Array) -> str:
+266    return f"[{self.expressions(expression)}]"
+267
+268
+269def no_ilike_sql(self: Generator, expression: exp.ILike) -> str:
+270    return self.like_sql(
+271        exp.Like(
+272            this=exp.Lower(this=expression.this),
+273            expression=expression.args["expression"],
+274        )
+275    )
 276
-277def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str:
-278    if expression.args.get("recursive"):
-279        self.unsupported("Recursive CTEs are unsupported")
-280        expression.args["recursive"] = False
-281    return self.with_sql(expression)
+277
+278def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str:
+279    zone = self.sql(expression, "this")
+280    return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE"
+281
 282
-283
-284def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str:
-285    n = self.sql(expression, "this")
-286    d = self.sql(expression, "expression")
-287    return f"IF({d} <> 0, {n} / {d}, NULL)"
+283def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str:
+284    if expression.args.get("recursive"):
+285        self.unsupported("Recursive CTEs are unsupported")
+286        expression.args["recursive"] = False
+287    return self.with_sql(expression)
 288
 289
-290def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str:
-291    self.unsupported("TABLESAMPLE unsupported")
-292    return self.sql(expression.this)
-293
+290def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str:
+291    n = self.sql(expression, "this")
+292    d = self.sql(expression, "expression")
+293    return f"IF({d} <> 0, {n} / {d}, NULL)"
 294
-295def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str:
-296    self.unsupported("PIVOT unsupported")
-297    return ""
-298
+295
+296def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str:
+297    self.unsupported("TABLESAMPLE unsupported")
+298    return self.sql(expression.this)
 299
-300def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str:
-301    return self.cast_sql(expression)
-302
-303
-304def no_properties_sql(self: Generator, expression: exp.Properties) -> str:
-305    self.unsupported("Properties unsupported")
-306    return ""
-307
+300
+301def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str:
+302    self.unsupported("PIVOT unsupported")
+303    return ""
+304
+305
+306def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str:
+307    return self.cast_sql(expression)
 308
-309def no_comment_column_constraint_sql(
-310    self: Generator, expression: exp.CommentColumnConstraint
-311) -> str:
-312    self.unsupported("CommentColumnConstraint unsupported")
-313    return ""
+309
+310def no_properties_sql(self: Generator, expression: exp.Properties) -> str:
+311    self.unsupported("Properties unsupported")
+312    return ""
+313
 314
-315
-316def str_position_sql(self: Generator, expression: exp.StrPosition) -> str:
-317    this = self.sql(expression, "this")
-318    substr = self.sql(expression, "substr")
-319    position = self.sql(expression, "position")
-320    if position:
-321        return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1"
-322    return f"STRPOS({this}, {substr})"
-323
-324
-325def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str:
-326    this = self.sql(expression, "this")
-327    struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True))
-328    return f"{this}.{struct_key}"
+315def no_comment_column_constraint_sql(
+316    self: Generator, expression: exp.CommentColumnConstraint
+317) -> str:
+318    self.unsupported("CommentColumnConstraint unsupported")
+319    return ""
+320
+321
+322def str_position_sql(self: Generator, expression: exp.StrPosition) -> str:
+323    this = self.sql(expression, "this")
+324    substr = self.sql(expression, "substr")
+325    position = self.sql(expression, "position")
+326    if position:
+327        return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1"
+328    return f"STRPOS({this}, {substr})"
 329
 330
-331def var_map_sql(
-332    self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP"
-333) -> str:
-334    keys = expression.args["keys"]
-335    values = expression.args["values"]
+331def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str:
+332    this = self.sql(expression, "this")
+333    struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True))
+334    return f"{this}.{struct_key}"
+335
 336
-337    if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array):
-338        self.unsupported("Cannot convert array columns into map.")
-339        return self.func(map_func_name, keys, values)
-340
-341    args = []
-342    for key, value in zip(keys.expressions, values.expressions):
-343        args.append(self.sql(key))
-344        args.append(self.sql(value))
-345    return self.func(map_func_name, *args)
+337def var_map_sql(
+338    self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP"
+339) -> str:
+340    keys = expression.args["keys"]
+341    values = expression.args["values"]
+342
+343    if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array):
+344        self.unsupported("Cannot convert array columns into map.")
+345        return self.func(map_func_name, keys, values)
 346
-347
-348def format_time_lambda(
-349    exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None
-350) -> t.Callable[[t.Sequence], E]:
-351    """Helper used for time expressions.
+347    args = []
+348    for key, value in zip(keys.expressions, values.expressions):
+349        args.append(self.sql(key))
+350        args.append(self.sql(value))
+351    return self.func(map_func_name, *args)
 352
-353    Args:
-354        exp_class: the expression class to instantiate.
-355        dialect: target sql dialect.
-356        default: the default format, True being time.
-357
-358    Returns:
-359        A callable that can be used to return the appropriately formatted time expression.
-360    """
-361
-362    def _format_time(args: t.Sequence):
-363        return exp_class(
-364            this=seq_get(args, 0),
-365            format=Dialect[dialect].format_time(
-366                seq_get(args, 1)
-367                or (Dialect[dialect].time_format if default is True else default or None)
-368            ),
-369        )
-370
-371    return _format_time
-372
-373
-374def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str:
-375    """
-376    In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the
-377    PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding
-378    columns are removed from the create statement.
-379    """
-380    has_schema = isinstance(expression.this, exp.Schema)
-381    is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW")
-382
-383    if has_schema and is_partitionable:
-384        expression = expression.copy()
-385        prop = expression.find(exp.PartitionedByProperty)
-386        if prop and prop.this and not isinstance(prop.this, exp.Schema):
-387            schema = expression.this
-388            columns = {v.name.upper() for v in prop.this.expressions}
-389            partitions = [col for col in schema.expressions if col.name.upper() in columns]
-390            schema.set("expressions", [e for e in schema.expressions if e not in partitions])
-391            prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions)))
-392            expression.set("this", schema)
-393
-394    return self.create_sql(expression)
-395
-396
-397def parse_date_delta(
-398    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
-399) -> t.Callable[[t.Sequence], E]:
-400    def inner_func(args: t.Sequence) -> E:
-401        unit_based = len(args) == 3
-402        this = args[2] if unit_based else seq_get(args, 0)
-403        unit = args[0] if unit_based else exp.Literal.string("DAY")
-404        unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit
-405        return exp_class(this=this, expression=seq_get(args, 1), unit=unit)
-406
-407    return inner_func
-408
-409
-410def parse_date_delta_with_interval(
-411    expression_class: t.Type[E],
-412) -> t.Callable[[t.Sequence], t.Optional[E]]:
-413    def func(args: t.Sequence) -> t.Optional[E]:
-414        if len(args) < 2:
-415            return None
-416
-417        interval = args[1]
-418        expression = interval.this
-419        if expression and expression.is_string:
-420            expression = exp.Literal.number(expression.this)
-421
-422        return expression_class(
-423            this=args[0],
-424            expression=expression,
-425            unit=exp.Literal.string(interval.text("unit")),
-426        )
+353
+354def format_time_lambda(
+355    exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None
+356) -> t.Callable[[t.List], E]:
+357    """Helper used for time expressions.
+358
+359    Args:
+360        exp_class: the expression class to instantiate.
+361        dialect: target sql dialect.
+362        default: the default format, True being time.
+363
+364    Returns:
+365        A callable that can be used to return the appropriately formatted time expression.
+366    """
+367
+368    def _format_time(args: t.List):
+369        return exp_class(
+370            this=seq_get(args, 0),
+371            format=Dialect[dialect].format_time(
+372                seq_get(args, 1)
+373                or (Dialect[dialect].time_format if default is True else default or None)
+374            ),
+375        )
+376
+377    return _format_time
+378
+379
+380def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str:
+381    """
+382    In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the
+383    PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding
+384    columns are removed from the create statement.
+385    """
+386    has_schema = isinstance(expression.this, exp.Schema)
+387    is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW")
+388
+389    if has_schema and is_partitionable:
+390        expression = expression.copy()
+391        prop = expression.find(exp.PartitionedByProperty)
+392        if prop and prop.this and not isinstance(prop.this, exp.Schema):
+393            schema = expression.this
+394            columns = {v.name.upper() for v in prop.this.expressions}
+395            partitions = [col for col in schema.expressions if col.name.upper() in columns]
+396            schema.set("expressions", [e for e in schema.expressions if e not in partitions])
+397            prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions)))
+398            expression.set("this", schema)
+399
+400    return self.create_sql(expression)
+401
+402
+403def parse_date_delta(
+404    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
+405) -> t.Callable[[t.List], E]:
+406    def inner_func(args: t.List) -> E:
+407        unit_based = len(args) == 3
+408        this = args[2] if unit_based else seq_get(args, 0)
+409        unit = args[0] if unit_based else exp.Literal.string("DAY")
+410        unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit
+411        return exp_class(this=this, expression=seq_get(args, 1), unit=unit)
+412
+413    return inner_func
+414
+415
+416def parse_date_delta_with_interval(
+417    expression_class: t.Type[E],
+418) -> t.Callable[[t.List], t.Optional[E]]:
+419    def func(args: t.List) -> t.Optional[E]:
+420        if len(args) < 2:
+421            return None
+422
+423        interval = args[1]
+424        expression = interval.this
+425        if expression and expression.is_string:
+426            expression = exp.Literal.number(expression.this)
 427
-428    return func
-429
-430
-431def date_trunc_to_time(args: t.Sequence) -> exp.DateTrunc | exp.TimestampTrunc:
-432    unit = seq_get(args, 0)
-433    this = seq_get(args, 1)
-434
-435    if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE):
-436        return exp.DateTrunc(unit=unit, this=this)
-437    return exp.TimestampTrunc(this=this, unit=unit)
-438
-439
-440def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str:
-441    return self.func(
-442        "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this
-443    )
+428        return expression_class(
+429            this=args[0],
+430            expression=expression,
+431            unit=exp.Literal.string(interval.text("unit")),
+432        )
+433
+434    return func
+435
+436
+437def date_trunc_to_time(args: t.List) -> exp.DateTrunc | exp.TimestampTrunc:
+438    unit = seq_get(args, 0)
+439    this = seq_get(args, 1)
+440
+441    if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE):
+442        return exp.DateTrunc(unit=unit, this=this)
+443    return exp.TimestampTrunc(this=this, unit=unit)
 444
 445
-446def locate_to_strposition(args: t.Sequence) -> exp.Expression:
-447    return exp.StrPosition(
-448        this=seq_get(args, 1),
-449        substr=seq_get(args, 0),
-450        position=seq_get(args, 2),
-451    )
-452
-453
-454def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
-455    return self.func(
-456        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
+446def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str:
+447    return self.func(
+448        "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this
+449    )
+450
+451
+452def locate_to_strposition(args: t.List) -> exp.Expression:
+453    return exp.StrPosition(
+454        this=seq_get(args, 1),
+455        substr=seq_get(args, 0),
+456        position=seq_get(args, 2),
 457    )
 458
 459
-460def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
-461    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
-462
-463
-464def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
-465    return f"CAST({self.sql(expression, 'this')} AS DATE)"
-466
-467
-468def min_or_least(self: Generator, expression: exp.Min) -> str:
-469    name = "LEAST" if expression.expressions else "MIN"
-470    return rename_func(name)(self, expression)
-471
+460def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
+461    return self.func(
+462        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
+463    )
+464
+465
+466def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
+467    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
+468
+469
+470def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
+471    return f"CAST({self.sql(expression, 'this')} AS DATE)"
 472
-473def max_or_greatest(self: Generator, expression: exp.Max) -> str:
-474    name = "GREATEST" if expression.expressions else "MAX"
-475    return rename_func(name)(self, expression)
-476
+473
+474def min_or_least(self: Generator, expression: exp.Min) -> str:
+475    name = "LEAST" if expression.expressions else "MIN"
+476    return rename_func(name)(self, expression)
 477
-478def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str:
-479    cond = expression.this
-480
-481    if isinstance(expression.this, exp.Distinct):
-482        cond = expression.this.expressions[0]
-483        self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM")
-484
-485    return self.func("sum", exp.func("if", cond, 1, 0))
+478
+479def max_or_greatest(self: Generator, expression: exp.Max) -> str:
+480    name = "GREATEST" if expression.expressions else "MAX"
+481    return rename_func(name)(self, expression)
+482
+483
+484def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str:
+485    cond = expression.this
 486
-487
-488def trim_sql(self: Generator, expression: exp.Trim) -> str:
-489    target = self.sql(expression, "this")
-490    trim_type = self.sql(expression, "position")
-491    remove_chars = self.sql(expression, "expression")
-492    collation = self.sql(expression, "collation")
+487    if isinstance(expression.this, exp.Distinct):
+488        cond = expression.this.expressions[0]
+489        self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM")
+490
+491    return self.func("sum", exp.func("if", cond, 1, 0))
+492
 493
-494    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
-495    if not remove_chars and not collation:
-496        return self.trim_sql(expression)
-497
-498    trim_type = f"{trim_type} " if trim_type else ""
-499    remove_chars = f"{remove_chars} " if remove_chars else ""
-500    from_part = "FROM " if trim_type or remove_chars else ""
-501    collation = f" COLLATE {collation}" if collation else ""
-502    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
+494def trim_sql(self: Generator, expression: exp.Trim) -> str:
+495    target = self.sql(expression, "this")
+496    trim_type = self.sql(expression, "position")
+497    remove_chars = self.sql(expression, "expression")
+498    collation = self.sql(expression, "collation")
+499
+500    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
+501    if not remove_chars and not collation:
+502        return self.trim_sql(expression)
 503
-504
-505def str_to_time_sql(self, expression: exp.Expression) -> str:
-506    return self.func("STRPTIME", expression.this, self.format_time(expression))
-507
-508
-509def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
-510    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
-511        _dialect = Dialect.get_or_raise(dialect)
-512        time_format = self.format_time(expression)
-513        if time_format and time_format not in (_dialect.time_format, _dialect.date_format):
-514            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
-515        return f"CAST({self.sql(expression, 'this')} AS DATE)"
-516
-517    return _ts_or_ds_to_date_sql
-518
-519
-520# Spark, DuckDB use (almost) the same naming scheme for the output columns of the PIVOT operator
-521def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]:
-522    names = []
-523    for agg in aggregations:
-524        if isinstance(agg, exp.Alias):
-525            names.append(agg.alias)
-526        else:
-527            """
-528            This case corresponds to aggregations without aliases being used as suffixes
-529            (e.g. col_avg(foo)). We need to unquote identifiers because they're going to
-530            be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`.
-531            Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes).
-532            """
-533            agg_all_unquoted = agg.transform(
-534                lambda node: exp.Identifier(this=node.name, quoted=False)
-535                if isinstance(node, exp.Identifier)
-536                else node
-537            )
-538            names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower"))
-539
-540    return names
+504    trim_type = f"{trim_type} " if trim_type else ""
+505    remove_chars = f"{remove_chars} " if remove_chars else ""
+506    from_part = "FROM " if trim_type or remove_chars else ""
+507    collation = f" COLLATE {collation}" if collation else ""
+508    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
+509
+510
+511def str_to_time_sql(self: Generator, expression: exp.Expression) -> str:
+512    return self.func("STRPTIME", expression.this, self.format_time(expression))
+513
+514
+515def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
+516    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
+517        _dialect = Dialect.get_or_raise(dialect)
+518        time_format = self.format_time(expression)
+519        if time_format and time_format not in (_dialect.time_format, _dialect.date_format):
+520            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
+521        return f"CAST({self.sql(expression, 'this')} AS DATE)"
+522
+523    return _ts_or_ds_to_date_sql
+524
+525
+526# Spark, DuckDB use (almost) the same naming scheme for the output columns of the PIVOT operator
+527def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]:
+528    names = []
+529    for agg in aggregations:
+530        if isinstance(agg, exp.Alias):
+531            names.append(agg.alias)
+532        else:
+533            """
+534            This case corresponds to aggregations without aliases being used as suffixes
+535            (e.g. col_avg(foo)). We need to unquote identifiers because they're going to
+536            be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`.
+537            Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes).
+538            """
+539            agg_all_unquoted = agg.transform(
+540                lambda node: exp.Identifier(this=node.name, quoted=False)
+541                if isinstance(node, exp.Identifier)
+542                else node
+543            )
+544            names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower"))
+545
+546    return names
 
    
 
 
@@ -815,29 +821,29 @@
    - 
    18class Dialects(str, Enum):
-19    DIALECT = ""
-20
-21    BIGQUERY = "bigquery"
-22    CLICKHOUSE = "clickhouse"
-23    DUCKDB = "duckdb"
-24    HIVE = "hive"
-25    MYSQL = "mysql"
-26    ORACLE = "oracle"
-27    POSTGRES = "postgres"
-28    PRESTO = "presto"
-29    REDSHIFT = "redshift"
-30    SNOWFLAKE = "snowflake"
-31    SPARK = "spark"
-32    SPARK2 = "spark2"
-33    SQLITE = "sqlite"
-34    STARROCKS = "starrocks"
-35    TABLEAU = "tableau"
-36    TRINO = "trino"
-37    TSQL = "tsql"
-38    DATABRICKS = "databricks"
-39    DRILL = "drill"
-40    TERADATA = "teradata"
+            
    19class Dialects(str, Enum):
+20    DIALECT = ""
+21
+22    BIGQUERY = "bigquery"
+23    CLICKHOUSE = "clickhouse"
+24    DUCKDB = "duckdb"
+25    HIVE = "hive"
+26    MYSQL = "mysql"
+27    ORACLE = "oracle"
+28    POSTGRES = "postgres"
+29    PRESTO = "presto"
+30    REDSHIFT = "redshift"
+31    SNOWFLAKE = "snowflake"
+32    SPARK = "spark"
+33    SPARK2 = "spark2"
+34    SQLITE = "sqlite"
+35    STARROCKS = "starrocks"
+36    TABLEAU = "tableau"
+37    TRINO = "trino"
+38    TSQL = "tsql"
+39    DATABRICKS = "databricks"
+40    DRILL = "drill"
+41    TERADATA = "teradata"
 
    
 
 
@@ -1169,133 +1175,135 @@ 
    Inherited Members
    - 
    102class Dialect(metaclass=_Dialect):
-103    index_offset = 0
-104    unnest_column_only = False
-105    alias_post_tablesample = False
-106    normalize_functions: t.Optional[str] = "upper"
-107    null_ordering = "nulls_are_small"
-108
-109    date_format = "'%Y-%m-%d'"
-110    dateint_format = "'%Y%m%d'"
-111    time_format = "'%Y-%m-%d %H:%M:%S'"
-112    time_mapping: t.Dict[str, str] = {}
-113
-114    # autofilled
-115    quote_start = None
-116    quote_end = None
-117    identifier_start = None
-118    identifier_end = None
-119
-120    time_trie = None
-121    inverse_time_mapping = None
-122    inverse_time_trie = None
-123    tokenizer_class = None
-124    parser_class = None
-125    generator_class = None
-126
-127    def __eq__(self, other: t.Any) -> bool:
-128        return type(self) == other
-129
-130    def __hash__(self) -> int:
-131        return hash(type(self))
-132
-133    @classmethod
-134    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
-135        if not dialect:
-136            return cls
-137        if isinstance(dialect, _Dialect):
-138            return dialect
-139        if isinstance(dialect, Dialect):
-140            return dialect.__class__
-141
-142        result = cls.get(dialect)
-143        if not result:
-144            raise ValueError(f"Unknown dialect '{dialect}'")
+            
    106class Dialect(metaclass=_Dialect):
+107    index_offset = 0
+108    unnest_column_only = False
+109    alias_post_tablesample = False
+110    normalize_functions: t.Optional[str] = "upper"
+111    null_ordering = "nulls_are_small"
+112
+113    date_format = "'%Y-%m-%d'"
+114    dateint_format = "'%Y%m%d'"
+115    time_format = "'%Y-%m-%d %H:%M:%S'"
+116    time_mapping: t.Dict[str, str] = {}
+117
+118    # autofilled
+119    quote_start = None
+120    quote_end = None
+121    identifier_start = None
+122    identifier_end = None
+123
+124    time_trie = None
+125    inverse_time_mapping = None
+126    inverse_time_trie = None
+127    tokenizer_class = None
+128    parser_class = None
+129    generator_class = None
+130
+131    def __eq__(self, other: t.Any) -> bool:
+132        return type(self) == other
+133
+134    def __hash__(self) -> int:
+135        return hash(type(self))
+136
+137    @classmethod
+138    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
+139        if not dialect:
+140            return cls
+141        if isinstance(dialect, _Dialect):
+142            return dialect
+143        if isinstance(dialect, Dialect):
+144            return dialect.__class__
 145
-146        return result
-147
-148    @classmethod
-149    def format_time(
-150        cls, expression: t.Optional[str | exp.Expression]
-151    ) -> t.Optional[exp.Expression]:
-152        if isinstance(expression, str):
-153            return exp.Literal.string(
-154                format_time(
-155                    expression[1:-1],  # the time formats are quoted
-156                    cls.time_mapping,
-157                    cls.time_trie,
-158                )
-159            )
-160        if expression and expression.is_string:
-161            return exp.Literal.string(
-162                format_time(
-163                    expression.this,
-164                    cls.time_mapping,
-165                    cls.time_trie,
-166                )
-167            )
-168        return expression
-169
-170    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
-171        return self.parser(**opts).parse(self.tokenize(sql), sql)
-172
-173    def parse_into(
-174        self, expression_type: exp.IntoType, sql: str, **opts
-175    ) -> t.List[t.Optional[exp.Expression]]:
-176        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
-177
-178    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
-179        return self.generator(**opts).generate(expression)
-180
-181    def transpile(self, sql: str, **opts) -> t.List[str]:
-182        return [self.generate(expression, **opts) for expression in self.parse(sql)]
-183
-184    def tokenize(self, sql: str) -> t.List[Token]:
-185        return self.tokenizer.tokenize(sql)
-186
-187    @property
-188    def tokenizer(self) -> Tokenizer:
-189        if not hasattr(self, "_tokenizer"):
-190            self._tokenizer = self.tokenizer_class()  # type: ignore
-191        return self._tokenizer
-192
-193    def parser(self, **opts) -> Parser:
-194        return self.parser_class(  # type: ignore
-195            **{
-196                "index_offset": self.index_offset,
-197                "unnest_column_only": self.unnest_column_only,
-198                "alias_post_tablesample": self.alias_post_tablesample,
-199                "null_ordering": self.null_ordering,
-200                **opts,
-201            },
-202        )
-203
-204    def generator(self, **opts) -> Generator:
-205        return self.generator_class(  # type: ignore
-206            **{
-207                "quote_start": self.quote_start,
-208                "quote_end": self.quote_end,
-209                "bit_start": self.bit_start,
-210                "bit_end": self.bit_end,
-211                "hex_start": self.hex_start,
-212                "hex_end": self.hex_end,
-213                "byte_start": self.byte_start,
-214                "byte_end": self.byte_end,
-215                "identifier_start": self.identifier_start,
-216                "identifier_end": self.identifier_end,
-217                "string_escape": self.tokenizer_class.STRING_ESCAPES[0],
-218                "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0],
-219                "index_offset": self.index_offset,
-220                "time_mapping": self.inverse_time_mapping,
-221                "time_trie": self.inverse_time_trie,
-222                "unnest_column_only": self.unnest_column_only,
-223                "alias_post_tablesample": self.alias_post_tablesample,
-224                "normalize_functions": self.normalize_functions,
-225                "null_ordering": self.null_ordering,
-226                **opts,
-227            }
-228        )
+146        result = cls.get(dialect)
+147        if not result:
+148            raise ValueError(f"Unknown dialect '{dialect}'")
+149
+150        return result
+151
+152    @classmethod
+153    def format_time(
+154        cls, expression: t.Optional[str | exp.Expression]
+155    ) -> t.Optional[exp.Expression]:
+156        if isinstance(expression, str):
+157            return exp.Literal.string(
+158                format_time(
+159                    expression[1:-1],  # the time formats are quoted
+160                    cls.time_mapping,
+161                    cls.time_trie,
+162                )
+163            )
+164        if expression and expression.is_string:
+165            return exp.Literal.string(
+166                format_time(
+167                    expression.this,
+168                    cls.time_mapping,
+169                    cls.time_trie,
+170                )
+171            )
+172        return expression
+173
+174    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
+175        return self.parser(**opts).parse(self.tokenize(sql), sql)
+176
+177    def parse_into(
+178        self, expression_type: exp.IntoType, sql: str, **opts
+179    ) -> t.List[t.Optional[exp.Expression]]:
+180        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
+181
+182    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
+183        return self.generator(**opts).generate(expression)
+184
+185    def transpile(self, sql: str, **opts) -> t.List[str]:
+186        return [self.generate(expression, **opts) for expression in self.parse(sql)]
+187
+188    def tokenize(self, sql: str) -> t.List[Token]:
+189        return self.tokenizer.tokenize(sql)
+190
+191    @property
+192    def tokenizer(self) -> Tokenizer:
+193        if not hasattr(self, "_tokenizer"):
+194            self._tokenizer = self.tokenizer_class()  # type: ignore
+195        return self._tokenizer
+196
+197    def parser(self, **opts) -> Parser:
+198        return self.parser_class(  # type: ignore
+199            **{
+200                "index_offset": self.index_offset,
+201                "unnest_column_only": self.unnest_column_only,
+202                "alias_post_tablesample": self.alias_post_tablesample,
+203                "null_ordering": self.null_ordering,
+204                **opts,
+205            },
+206        )
+207
+208    def generator(self, **opts) -> Generator:
+209        return self.generator_class(  # type: ignore
+210            **{
+211                "quote_start": self.quote_start,
+212                "quote_end": self.quote_end,
+213                "bit_start": self.bit_start,
+214                "bit_end": self.bit_end,
+215                "hex_start": self.hex_start,
+216                "hex_end": self.hex_end,
+217                "byte_start": self.byte_start,
+218                "byte_end": self.byte_end,
+219                "raw_start": self.raw_start,
+220                "raw_end": self.raw_end,
+221                "identifier_start": self.identifier_start,
+222                "identifier_end": self.identifier_end,
+223                "string_escape": self.tokenizer_class.STRING_ESCAPES[0],
+224                "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0],
+225                "index_offset": self.index_offset,
+226                "time_mapping": self.inverse_time_mapping,
+227                "time_trie": self.inverse_time_trie,
+228                "unnest_column_only": self.unnest_column_only,
+229                "alias_post_tablesample": self.alias_post_tablesample,
+230                "normalize_functions": self.normalize_functions,
+231                "null_ordering": self.null_ordering,
+232                **opts,
+233            }
+234        )
 
    
 
 
@@ -1313,20 +1321,20 @@ 
    Inherited Members
    - 
    133    @classmethod
-134    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
-135        if not dialect:
-136            return cls
-137        if isinstance(dialect, _Dialect):
-138            return dialect
-139        if isinstance(dialect, Dialect):
-140            return dialect.__class__
-141
-142        result = cls.get(dialect)
-143        if not result:
-144            raise ValueError(f"Unknown dialect '{dialect}'")
+            
    137    @classmethod
+138    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
+139        if not dialect:
+140            return cls
+141        if isinstance(dialect, _Dialect):
+142            return dialect
+143        if isinstance(dialect, Dialect):
+144            return dialect.__class__
 145
-146        return result
+146        result = cls.get(dialect)
+147        if not result:
+148            raise ValueError(f"Unknown dialect '{dialect}'")
+149
+150        return result
 
    
 
 
@@ -1345,27 +1353,27 @@ 
    Inherited Members
    - 
    148    @classmethod
-149    def format_time(
-150        cls, expression: t.Optional[str | exp.Expression]
-151    ) -> t.Optional[exp.Expression]:
-152        if isinstance(expression, str):
-153            return exp.Literal.string(
-154                format_time(
-155                    expression[1:-1],  # the time formats are quoted
-156                    cls.time_mapping,
-157                    cls.time_trie,
-158                )
-159            )
-160        if expression and expression.is_string:
-161            return exp.Literal.string(
-162                format_time(
-163                    expression.this,
-164                    cls.time_mapping,
-165                    cls.time_trie,
-166                )
-167            )
-168        return expression
+            
    152    @classmethod
+153    def format_time(
+154        cls, expression: t.Optional[str | exp.Expression]
+155    ) -> t.Optional[exp.Expression]:
+156        if isinstance(expression, str):
+157            return exp.Literal.string(
+158                format_time(
+159                    expression[1:-1],  # the time formats are quoted
+160                    cls.time_mapping,
+161                    cls.time_trie,
+162                )
+163            )
+164        if expression and expression.is_string:
+165            return exp.Literal.string(
+166                format_time(
+167                    expression.this,
+168                    cls.time_mapping,
+169                    cls.time_trie,
+170                )
+171            )
+172        return expression
 
    
 
 
@@ -1383,8 +1391,8 @@ 
    Inherited Members
    - 
    170    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
-171        return self.parser(**opts).parse(self.tokenize(sql), sql)
+            
    174    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
+175        return self.parser(**opts).parse(self.tokenize(sql), sql)
 
    
 
 
@@ -1402,10 +1410,10 @@ 
    Inherited Members
    - 
    173    def parse_into(
-174        self, expression_type: exp.IntoType, sql: str, **opts
-175    ) -> t.List[t.Optional[exp.Expression]]:
-176        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
+            
    177    def parse_into(
+178        self, expression_type: exp.IntoType, sql: str, **opts
+179    ) -> t.List[t.Optional[exp.Expression]]:
+180        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
 
    
 
 
@@ -1423,8 +1431,8 @@ 
    Inherited Members
    - 
    178    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
-179        return self.generator(**opts).generate(expression)
+            
    182    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
+183        return self.generator(**opts).generate(expression)
 
    
 
 
@@ -1442,8 +1450,8 @@ 
    Inherited Members
    - 
    181    def transpile(self, sql: str, **opts) -> t.List[str]:
-182        return [self.generate(expression, **opts) for expression in self.parse(sql)]
+            
    185    def transpile(self, sql: str, **opts) -> t.List[str]:
+186        return [self.generate(expression, **opts) for expression in self.parse(sql)]
 
    
 
 
@@ -1461,8 +1469,8 @@ 
    Inherited Members
    - 
    184    def tokenize(self, sql: str) -> t.List[Token]:
-185        return self.tokenizer.tokenize(sql)
+            
    188    def tokenize(self, sql: str) -> t.List[Token]:
+189        return self.tokenizer.tokenize(sql)
 
    
 
 
@@ -1480,16 +1488,16 @@ 
    Inherited Members
    - 
    193    def parser(self, **opts) -> Parser:
-194        return self.parser_class(  # type: ignore
-195            **{
-196                "index_offset": self.index_offset,
-197                "unnest_column_only": self.unnest_column_only,
-198                "alias_post_tablesample": self.alias_post_tablesample,
-199                "null_ordering": self.null_ordering,
-200                **opts,
-201            },
-202        )
+            
    197    def parser(self, **opts) -> Parser:
+198        return self.parser_class(  # type: ignore
+199            **{
+200                "index_offset": self.index_offset,
+201                "unnest_column_only": self.unnest_column_only,
+202                "alias_post_tablesample": self.alias_post_tablesample,
+203                "null_ordering": self.null_ordering,
+204                **opts,
+205            },
+206        )
 
    
 
 
@@ -1507,31 +1515,33 @@ 
    Inherited Members
    - 
    204    def generator(self, **opts) -> Generator:
-205        return self.generator_class(  # type: ignore
-206            **{
-207                "quote_start": self.quote_start,
-208                "quote_end": self.quote_end,
-209                "bit_start": self.bit_start,
-210                "bit_end": self.bit_end,
-211                "hex_start": self.hex_start,
-212                "hex_end": self.hex_end,
-213                "byte_start": self.byte_start,
-214                "byte_end": self.byte_end,
-215                "identifier_start": self.identifier_start,
-216                "identifier_end": self.identifier_end,
-217                "string_escape": self.tokenizer_class.STRING_ESCAPES[0],
-218                "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0],
-219                "index_offset": self.index_offset,
-220                "time_mapping": self.inverse_time_mapping,
-221                "time_trie": self.inverse_time_trie,
-222                "unnest_column_only": self.unnest_column_only,
-223                "alias_post_tablesample": self.alias_post_tablesample,
-224                "normalize_functions": self.normalize_functions,
-225                "null_ordering": self.null_ordering,
-226                **opts,
-227            }
-228        )
+            
    208    def generator(self, **opts) -> Generator:
+209        return self.generator_class(  # type: ignore
+210            **{
+211                "quote_start": self.quote_start,
+212                "quote_end": self.quote_end,
+213                "bit_start": self.bit_start,
+214                "bit_end": self.bit_end,
+215                "hex_start": self.hex_start,
+216                "hex_end": self.hex_end,
+217                "byte_start": self.byte_start,
+218                "byte_end": self.byte_end,
+219                "raw_start": self.raw_start,
+220                "raw_end": self.raw_end,
+221                "identifier_start": self.identifier_start,
+222                "identifier_end": self.identifier_end,
+223                "string_escape": self.tokenizer_class.STRING_ESCAPES[0],
+224                "identifier_escape": self.tokenizer_class.IDENTIFIER_ESCAPES[0],
+225                "index_offset": self.index_offset,
+226                "time_mapping": self.inverse_time_mapping,
+227                "time_trie": self.inverse_time_trie,
+228                "unnest_column_only": self.unnest_column_only,
+229                "alias_post_tablesample": self.alias_post_tablesample,
+230                "normalize_functions": self.normalize_functions,
+231                "null_ordering": self.null_ordering,
+232                **opts,
+233            }
+234        )
 
    
 
 
@@ -1550,8 +1560,8 @@ 
    Inherited Members
    - 
    234def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]:
-235    return lambda self, expression: self.func(name, *flatten(expression.args.values()))
+            
    240def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]:
+241    return lambda self, expression: self.func(name, *flatten(expression.args.values()))
 
    
 
 
@@ -1569,10 +1579,10 @@ 
    Inherited Members
    - 
    238def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str:
-239    if expression.args.get("accuracy"):
-240        self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy")
-241    return self.func("APPROX_COUNT_DISTINCT", expression.this)
+            
    244def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str:
+245    if expression.args.get("accuracy"):
+246        self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy")
+247    return self.func("APPROX_COUNT_DISTINCT", expression.this)
 
    
 
 
@@ -1590,10 +1600,10 @@ 
    Inherited Members
    - 
    244def if_sql(self: Generator, expression: exp.If) -> str:
-245    return self.func(
-246        "IF", expression.this, expression.args.get("true"), expression.args.get("false")
-247    )
+            
    250def if_sql(self: Generator, expression: exp.If) -> str:
+251    return self.func(
+252        "IF", expression.this, expression.args.get("true"), expression.args.get("false")
+253    )
 
    
 
 
@@ -1611,8 +1621,8 @@ 
    Inherited Members
    - 
    250def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str:
-251    return self.binary(expression, "->")
+            
    256def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str:
+257    return self.binary(expression, "->")
 
    
 
 
@@ -1630,10 +1640,10 @@ 
    Inherited Members
    - 
    254def arrow_json_extract_scalar_sql(
-255    self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar
-256) -> str:
-257    return self.binary(expression, "->>")
+            
    260def arrow_json_extract_scalar_sql(
+261    self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar
+262) -> str:
+263    return self.binary(expression, "->>")
 
    
 
 
@@ -1651,8 +1661,8 @@ 
    Inherited Members
    - 
    260def inline_array_sql(self: Generator, expression: exp.Array) -> str:
-261    return f"[{self.expressions(expression)}]"
+            
    266def inline_array_sql(self: Generator, expression: exp.Array) -> str:
+267    return f"[{self.expressions(expression)}]"
 
    
 
 
@@ -1670,13 +1680,13 @@ 
    Inherited Members
    - 
    264def no_ilike_sql(self: Generator, expression: exp.ILike) -> str:
-265    return self.like_sql(
-266        exp.Like(
-267            this=exp.Lower(this=expression.this),
-268            expression=expression.args["expression"],
-269        )
-270    )
+            
    270def no_ilike_sql(self: Generator, expression: exp.ILike) -> str:
+271    return self.like_sql(
+272        exp.Like(
+273            this=exp.Lower(this=expression.this),
+274            expression=expression.args["expression"],
+275        )
+276    )
 
    
 
 
@@ -1694,9 +1704,9 @@ 
    Inherited Members
    - 
    273def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str:
-274    zone = self.sql(expression, "this")
-275    return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE"
+            
    279def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str:
+280    zone = self.sql(expression, "this")
+281    return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE"
 
    
 
 
@@ -1714,11 +1724,11 @@ 
    Inherited Members
    - 
    278def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str:
-279    if expression.args.get("recursive"):
-280        self.unsupported("Recursive CTEs are unsupported")
-281        expression.args["recursive"] = False
-282    return self.with_sql(expression)
+            
    284def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str:
+285    if expression.args.get("recursive"):
+286        self.unsupported("Recursive CTEs are unsupported")
+287        expression.args["recursive"] = False
+288    return self.with_sql(expression)
 
    
 
 
@@ -1736,10 +1746,10 @@ 
    Inherited Members
    - 
    285def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str:
-286    n = self.sql(expression, "this")
-287    d = self.sql(expression, "expression")
-288    return f"IF({d} <> 0, {n} / {d}, NULL)"
+            
    291def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str:
+292    n = self.sql(expression, "this")
+293    d = self.sql(expression, "expression")
+294    return f"IF({d} <> 0, {n} / {d}, NULL)"
 
    
 
 
@@ -1757,9 +1767,9 @@ 
    Inherited Members
    - 
    291def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str:
-292    self.unsupported("TABLESAMPLE unsupported")
-293    return self.sql(expression.this)
+            
    297def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str:
+298    self.unsupported("TABLESAMPLE unsupported")
+299    return self.sql(expression.this)
 
    
 
 
@@ -1777,9 +1787,9 @@ 
    Inherited Members
    - 
    296def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str:
-297    self.unsupported("PIVOT unsupported")
-298    return ""
+            
    302def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str:
+303    self.unsupported("PIVOT unsupported")
+304    return ""
 
    
 
 
@@ -1797,8 +1807,8 @@ 
    Inherited Members
    - 
    301def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str:
-302    return self.cast_sql(expression)
+            
    307def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str:
+308    return self.cast_sql(expression)
 
    
 
 
@@ -1816,9 +1826,9 @@ 
    Inherited Members
    - 
    305def no_properties_sql(self: Generator, expression: exp.Properties) -> str:
-306    self.unsupported("Properties unsupported")
-307    return ""
+            
    311def no_properties_sql(self: Generator, expression: exp.Properties) -> str:
+312    self.unsupported("Properties unsupported")
+313    return ""
 
    
 
 
@@ -1836,11 +1846,11 @@ 
    Inherited Members
    - 
    310def no_comment_column_constraint_sql(
-311    self: Generator, expression: exp.CommentColumnConstraint
-312) -> str:
-313    self.unsupported("CommentColumnConstraint unsupported")
-314    return ""
+            
    316def no_comment_column_constraint_sql(
+317    self: Generator, expression: exp.CommentColumnConstraint
+318) -> str:
+319    self.unsupported("CommentColumnConstraint unsupported")
+320    return ""
 
    
 
 
@@ -1858,13 +1868,13 @@ 
    Inherited Members
    - 
    317def str_position_sql(self: Generator, expression: exp.StrPosition) -> str:
-318    this = self.sql(expression, "this")
-319    substr = self.sql(expression, "substr")
-320    position = self.sql(expression, "position")
-321    if position:
-322        return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1"
-323    return f"STRPOS({this}, {substr})"
+            
    323def str_position_sql(self: Generator, expression: exp.StrPosition) -> str:
+324    this = self.sql(expression, "this")
+325    substr = self.sql(expression, "substr")
+326    position = self.sql(expression, "position")
+327    if position:
+328        return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1"
+329    return f"STRPOS({this}, {substr})"
 
    
 
 
@@ -1882,10 +1892,10 @@ 
    Inherited Members
    - 
    326def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str:
-327    this = self.sql(expression, "this")
-328    struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True))
-329    return f"{this}.{struct_key}"
+            
    332def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str:
+333    this = self.sql(expression, "this")
+334    struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True))
+335    return f"{this}.{struct_key}"
 
    
 
 
@@ -1903,21 +1913,21 @@ 
    Inherited Members
    - 
    332def var_map_sql(
-333    self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP"
-334) -> str:
-335    keys = expression.args["keys"]
-336    values = expression.args["values"]
-337
-338    if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array):
-339        self.unsupported("Cannot convert array columns into map.")
-340        return self.func(map_func_name, keys, values)
-341
-342    args = []
-343    for key, value in zip(keys.expressions, values.expressions):
-344        args.append(self.sql(key))
-345        args.append(self.sql(value))
-346    return self.func(map_func_name, *args)
+            
    338def var_map_sql(
+339    self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP"
+340) -> str:
+341    keys = expression.args["keys"]
+342    values = expression.args["values"]
+343
+344    if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array):
+345        self.unsupported("Cannot convert array columns into map.")
+346        return self.func(map_func_name, keys, values)
+347
+348    args = []
+349    for key, value in zip(keys.expressions, values.expressions):
+350        args.append(self.sql(key))
+351        args.append(self.sql(value))
+352    return self.func(map_func_name, *args)
 
    
 
 
@@ -1929,36 +1939,36 @@ 
    Inherited Members
    
 
    
             
         def
-        format_time_lambda(	exp_class: Type[~E],	dialect: str,	default: Union[bool, str, NoneType] = None) -> Callable[[Sequence], ~E]:
+        format_time_lambda(	exp_class: Type[~E],	dialect: str,	default: Union[bool, str, NoneType] = None) -> Callable[[List], ~E]:
 
                 
 
     
    
     
-            
    349def format_time_lambda(
-350    exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None
-351) -> t.Callable[[t.Sequence], E]:
-352    """Helper used for time expressions.
-353
-354    Args:
-355        exp_class: the expression class to instantiate.
-356        dialect: target sql dialect.
-357        default: the default format, True being time.
-358
-359    Returns:
-360        A callable that can be used to return the appropriately formatted time expression.
-361    """
-362
-363    def _format_time(args: t.Sequence):
-364        return exp_class(
-365            this=seq_get(args, 0),
-366            format=Dialect[dialect].format_time(
-367                seq_get(args, 1)
-368                or (Dialect[dialect].time_format if default is True else default or None)
-369            ),
-370        )
-371
-372    return _format_time
+            
    355def format_time_lambda(
+356    exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None
+357) -> t.Callable[[t.List], E]:
+358    """Helper used for time expressions.
+359
+360    Args:
+361        exp_class: the expression class to instantiate.
+362        dialect: target sql dialect.
+363        default: the default format, True being time.
+364
+365    Returns:
+366        A callable that can be used to return the appropriately formatted time expression.
+367    """
+368
+369    def _format_time(args: t.List):
+370        return exp_class(
+371            this=seq_get(args, 0),
+372            format=Dialect[dialect].format_time(
+373                seq_get(args, 1)
+374                or (Dialect[dialect].time_format if default is True else default or None)
+375            ),
+376        )
+377
+378    return _format_time
 
    
 
 
@@ -1992,27 +2002,27 @@ 
    Returns:
    
 
     
    
     
-            
    375def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str:
-376    """
-377    In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the
-378    PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding
-379    columns are removed from the create statement.
-380    """
-381    has_schema = isinstance(expression.this, exp.Schema)
-382    is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW")
-383
-384    if has_schema and is_partitionable:
-385        expression = expression.copy()
-386        prop = expression.find(exp.PartitionedByProperty)
-387        if prop and prop.this and not isinstance(prop.this, exp.Schema):
-388            schema = expression.this
-389            columns = {v.name.upper() for v in prop.this.expressions}
-390            partitions = [col for col in schema.expressions if col.name.upper() in columns]
-391            schema.set("expressions", [e for e in schema.expressions if e not in partitions])
-392            prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions)))
-393            expression.set("this", schema)
-394
-395    return self.create_sql(expression)
+            
    381def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str:
+382    """
+383    In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the
+384    PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding
+385    columns are removed from the create statement.
+386    """
+387    has_schema = isinstance(expression.this, exp.Schema)
+388    is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW")
+389
+390    if has_schema and is_partitionable:
+391        expression = expression.copy()
+392        prop = expression.find(exp.PartitionedByProperty)
+393        if prop and prop.this and not isinstance(prop.this, exp.Schema):
+394            schema = expression.this
+395            columns = {v.name.upper() for v in prop.this.expressions}
+396            partitions = [col for col in schema.expressions if col.name.upper() in columns]
+397            schema.set("expressions", [e for e in schema.expressions if e not in partitions])
+398            prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions)))
+399            expression.set("this", schema)
+400
+401    return self.create_sql(expression)
 
    
 
 
@@ -2028,23 +2038,23 @@ 
    Returns:
    
 
    
             
         def
-        parse_date_delta(	exp_class: Type[~E],	unit_mapping: Optional[Dict[str, str]] = None) -> Callable[[Sequence], ~E]:
+        parse_date_delta(	exp_class: Type[~E],	unit_mapping: Optional[Dict[str, str]] = None) -> Callable[[List], ~E]:
 
                 
 
     
    
     
-            
    398def parse_date_delta(
-399    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
-400) -> t.Callable[[t.Sequence], E]:
-401    def inner_func(args: t.Sequence) -> E:
-402        unit_based = len(args) == 3
-403        this = args[2] if unit_based else seq_get(args, 0)
-404        unit = args[0] if unit_based else exp.Literal.string("DAY")
-405        unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit
-406        return exp_class(this=this, expression=seq_get(args, 1), unit=unit)
-407
-408    return inner_func
+            
    404def parse_date_delta(
+405    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
+406) -> t.Callable[[t.List], E]:
+407    def inner_func(args: t.List) -> E:
+408        unit_based = len(args) == 3
+409        this = args[2] if unit_based else seq_get(args, 0)
+410        unit = args[0] if unit_based else exp.Literal.string("DAY")
+411        unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit
+412        return exp_class(this=this, expression=seq_get(args, 1), unit=unit)
+413
+414    return inner_func
 
    
 
 
@@ -2056,31 +2066,31 @@ 
    Returns:
    
 
    
             
         def
-        parse_date_delta_with_interval(expression_class: Type[~E]) -> Callable[[Sequence], Optional[~E]]:
+        parse_date_delta_with_interval(expression_class: Type[~E]) -> Callable[[List], Optional[~E]]:
 
                 
 
     
    
     
-            
    411def parse_date_delta_with_interval(
-412    expression_class: t.Type[E],
-413) -> t.Callable[[t.Sequence], t.Optional[E]]:
-414    def func(args: t.Sequence) -> t.Optional[E]:
-415        if len(args) < 2:
-416            return None
-417
-418        interval = args[1]
-419        expression = interval.this
-420        if expression and expression.is_string:
-421            expression = exp.Literal.number(expression.this)
-422
-423        return expression_class(
-424            this=args[0],
-425            expression=expression,
-426            unit=exp.Literal.string(interval.text("unit")),
-427        )
+            
    417def parse_date_delta_with_interval(
+418    expression_class: t.Type[E],
+419) -> t.Callable[[t.List], t.Optional[E]]:
+420    def func(args: t.List) -> t.Optional[E]:
+421        if len(args) < 2:
+422            return None
+423
+424        interval = args[1]
+425        expression = interval.this
+426        if expression and expression.is_string:
+427            expression = exp.Literal.number(expression.this)
 428
-429    return func
+429        return expression_class(
+430            this=args[0],
+431            expression=expression,
+432            unit=exp.Literal.string(interval.text("unit")),
+433        )
+434
+435    return func
 
    
 
 
@@ -2092,19 +2102,19 @@ 
    Returns:
    
 
    
             
         def
-        date_trunc_to_time(	args: Sequence) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:
+        date_trunc_to_time(	args: List) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:
 
                 
 
     
    
     
-            
    432def date_trunc_to_time(args: t.Sequence) -> exp.DateTrunc | exp.TimestampTrunc:
-433    unit = seq_get(args, 0)
-434    this = seq_get(args, 1)
-435
-436    if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE):
-437        return exp.DateTrunc(unit=unit, this=this)
-438    return exp.TimestampTrunc(this=this, unit=unit)
+            
    438def date_trunc_to_time(args: t.List) -> exp.DateTrunc | exp.TimestampTrunc:
+439    unit = seq_get(args, 0)
+440    this = seq_get(args, 1)
+441
+442    if isinstance(this, exp.Cast) and this.is_type(exp.DataType.Type.DATE):
+443        return exp.DateTrunc(unit=unit, this=this)
+444    return exp.TimestampTrunc(this=this, unit=unit)
 
    
 
 
@@ -2122,10 +2132,10 @@ 
    Returns:
    
 
     
    
     
-            
    441def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str:
-442    return self.func(
-443        "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this
-444    )
+            
    447def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str:
+448    return self.func(
+449        "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this
+450    )
 
    
 
 
@@ -2137,18 +2147,18 @@ 
    Returns:
    
 
    
             
         def
-        locate_to_strposition(args: Sequence) -> sqlglot.expressions.Expression:
+        locate_to_strposition(args: List) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    447def locate_to_strposition(args: t.Sequence) -> exp.Expression:
-448    return exp.StrPosition(
-449        this=seq_get(args, 1),
-450        substr=seq_get(args, 0),
-451        position=seq_get(args, 2),
-452    )
+            
    453def locate_to_strposition(args: t.List) -> exp.Expression:
+454    return exp.StrPosition(
+455        this=seq_get(args, 1),
+456        substr=seq_get(args, 0),
+457        position=seq_get(args, 2),
+458    )
 
    
 
 
@@ -2166,10 +2176,10 @@ 
    Returns:
    
 
     
    
     
-            
    455def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
-456    return self.func(
-457        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
-458    )
+            
    461def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
+462    return self.func(
+463        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
+464    )
 
    
 
 
@@ -2187,8 +2197,8 @@ 
    Returns:
    
 
     
    
     
-            
    461def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
-462    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
+            
    467def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
+468    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
 
    
 
 
@@ -2206,8 +2216,8 @@ 
    Returns:
    
 
     
    
     
-            
    465def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
-466    return f"CAST({self.sql(expression, 'this')} AS DATE)"
+            
    471def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
+472    return f"CAST({self.sql(expression, 'this')} AS DATE)"
 
    
 
 
@@ -2225,9 +2235,9 @@ 
    Returns:
    
 
     
    
     
-            
    469def min_or_least(self: Generator, expression: exp.Min) -> str:
-470    name = "LEAST" if expression.expressions else "MIN"
-471    return rename_func(name)(self, expression)
+            
    475def min_or_least(self: Generator, expression: exp.Min) -> str:
+476    name = "LEAST" if expression.expressions else "MIN"
+477    return rename_func(name)(self, expression)
 
    
 
 
@@ -2245,9 +2255,9 @@ 
    Returns:
    
 
     
    
     
-            
    474def max_or_greatest(self: Generator, expression: exp.Max) -> str:
-475    name = "GREATEST" if expression.expressions else "MAX"
-476    return rename_func(name)(self, expression)
+            
    480def max_or_greatest(self: Generator, expression: exp.Max) -> str:
+481    name = "GREATEST" if expression.expressions else "MAX"
+482    return rename_func(name)(self, expression)
 
    
 
 
@@ -2265,14 +2275,14 @@ 
    Returns:
    
 
     
    
     
-            
    479def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str:
-480    cond = expression.this
-481
-482    if isinstance(expression.this, exp.Distinct):
-483        cond = expression.this.expressions[0]
-484        self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM")
-485
-486    return self.func("sum", exp.func("if", cond, 1, 0))
+            
    485def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str:
+486    cond = expression.this
+487
+488    if isinstance(expression.this, exp.Distinct):
+489        cond = expression.this.expressions[0]
+490        self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM")
+491
+492    return self.func("sum", exp.func("if", cond, 1, 0))
 
    
 
 
@@ -2290,21 +2300,21 @@ 
    Returns:
    
 
     
    
     
-            
    489def trim_sql(self: Generator, expression: exp.Trim) -> str:
-490    target = self.sql(expression, "this")
-491    trim_type = self.sql(expression, "position")
-492    remove_chars = self.sql(expression, "expression")
-493    collation = self.sql(expression, "collation")
-494
-495    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
-496    if not remove_chars and not collation:
-497        return self.trim_sql(expression)
-498
-499    trim_type = f"{trim_type} " if trim_type else ""
-500    remove_chars = f"{remove_chars} " if remove_chars else ""
-501    from_part = "FROM " if trim_type or remove_chars else ""
-502    collation = f" COLLATE {collation}" if collation else ""
-503    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
+            
    495def trim_sql(self: Generator, expression: exp.Trim) -> str:
+496    target = self.sql(expression, "this")
+497    trim_type = self.sql(expression, "position")
+498    remove_chars = self.sql(expression, "expression")
+499    collation = self.sql(expression, "collation")
+500
+501    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
+502    if not remove_chars and not collation:
+503        return self.trim_sql(expression)
+504
+505    trim_type = f"{trim_type} " if trim_type else ""
+506    remove_chars = f"{remove_chars} " if remove_chars else ""
+507    from_part = "FROM " if trim_type or remove_chars else ""
+508    collation = f" COLLATE {collation}" if collation else ""
+509    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
 
    
 
 
@@ -2316,14 +2326,14 @@ 
    Returns:
    
 
    
             
         def
-        str_to_time_sql(self, expression: sqlglot.expressions.Expression) -> str:
+        str_to_time_sql(	self: sqlglot.generator.Generator,	expression: sqlglot.expressions.Expression) -> str:
 
                 
 
     
    
     
-            
    506def str_to_time_sql(self, expression: exp.Expression) -> str:
-507    return self.func("STRPTIME", expression.this, self.format_time(expression))
+            
    512def str_to_time_sql(self: Generator, expression: exp.Expression) -> str:
+513    return self.func("STRPTIME", expression.this, self.format_time(expression))
 
    
 
 
@@ -2341,15 +2351,15 @@ 
    Returns:
    
 
     
    
     
-            
    510def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
-511    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
-512        _dialect = Dialect.get_or_raise(dialect)
-513        time_format = self.format_time(expression)
-514        if time_format and time_format not in (_dialect.time_format, _dialect.date_format):
-515            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
-516        return f"CAST({self.sql(expression, 'this')} AS DATE)"
-517
-518    return _ts_or_ds_to_date_sql
+            
    516def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
+517    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
+518        _dialect = Dialect.get_or_raise(dialect)
+519        time_format = self.format_time(expression)
+520        if time_format and time_format not in (_dialect.time_format, _dialect.date_format):
+521            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
+522        return f"CAST({self.sql(expression, 'this')} AS DATE)"
+523
+524    return _ts_or_ds_to_date_sql
 
    
 
 
@@ -2367,26 +2377,26 @@ 
    Returns:
    
 
     
    
     
-            
    522def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]:
-523    names = []
-524    for agg in aggregations:
-525        if isinstance(agg, exp.Alias):
-526            names.append(agg.alias)
-527        else:
-528            """
-529            This case corresponds to aggregations without aliases being used as suffixes
-530            (e.g. col_avg(foo)). We need to unquote identifiers because they're going to
-531            be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`.
-532            Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes).
-533            """
-534            agg_all_unquoted = agg.transform(
-535                lambda node: exp.Identifier(this=node.name, quoted=False)
-536                if isinstance(node, exp.Identifier)
-537                else node
-538            )
-539            names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower"))
-540
-541    return names
+            
    528def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]:
+529    names = []
+530    for agg in aggregations:
+531        if isinstance(agg, exp.Alias):
+532            names.append(agg.alias)
+533        else:
+534            """
+535            This case corresponds to aggregations without aliases being used as suffixes
+536            (e.g. col_avg(foo)). We need to unquote identifiers because they're going to
+537            be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`.
+538            Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes).
+539            """
+540            agg_all_unquoted = agg.transform(
+541                lambda node: exp.Identifier(this=node.name, quoted=False)
+542                if isinstance(node, exp.Identifier)
+543                else node
+544            )
+545            names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower"))
+546
+547    return names
 
    
 
 
diff --git a/docs/sqlglot/dialects/drill.html b/docs/sqlglot/dialects/drill.html
index 842b59aeaf..0a21288d74 100644
--- a/docs/sqlglot/dialects/drill.html
+++ b/docs/sqlglot/dialects/drill.html
@@ -586,6 +586,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -674,6 +676,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/duckdb.html b/docs/sqlglot/dialects/duckdb.html
index e466f4a455..cb8325dd61 100644
--- a/docs/sqlglot/dialects/duckdb.html
+++ b/docs/sqlglot/dialects/duckdb.html
@@ -132,11 +132,11 @@ 
    
  50    return f"ARRAY_SORT({this})"
  51
  52
- 53def _sort_array_reverse(args: t.Sequence) -> exp.Expression:
+ 53def _sort_array_reverse(args: t.List) -> exp.Expression:
  54    return exp.SortArray(this=seq_get(args, 0), asc=exp.false())
  55
  56
- 57def _parse_date_diff(args: t.Sequence) -> exp.Expression:
+ 57def _parse_date_diff(args: t.List) -> exp.Expression:
  58    return exp.DateDiff(
  59        this=seq_get(args, 2),
  60        expression=seq_get(args, 1),
@@ -327,7 +327,7 @@ 
    
 245        }
 246
 247        def tablesample_sql(
-248            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+248            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
 249        ) -> str:
 250            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
 
    
@@ -502,7 +502,7 @@ 
    
 246        }
 247
 248        def tablesample_sql(
-249            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+249            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
 250        ) -> str:
 251            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
 
    
@@ -774,7 +774,7 @@ 
    Inherited Members
    
     246        }
 247
 248        def tablesample_sql(
-249            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+249            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
 250        ) -> str:
 251            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
 
    
@@ -799,6 +799,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -835,14 +837,14 @@ 
    Arguments:
    
 
    
             
         def
-        tablesample_sql(	self,	expression: sqlglot.expressions.TableSample,	seed_prefix: str = 'SEED',	sep=' AS ') -> str:
+        tablesample_sql(	self,	expression: sqlglot.expressions.TableSample,	seed_prefix: str = 'SEED',	sep: str = ' AS ') -> str:
 
                 
 
     
    
     
             
    248        def tablesample_sql(
-249            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+249            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
 250        ) -> str:
 251            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
 
    
@@ -890,6 +892,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/hive.html b/docs/sqlglot/dialects/hive.html
index fdf9dd10a7..ac9201b9d3 100644
--- a/docs/sqlglot/dialects/hive.html
+++ b/docs/sqlglot/dialects/hive.html
@@ -238,266 +238,259 @@ 
    
 147    return f"TO_DATE({this})"
 148
 149
-150def _index_sql(self: generator.Generator, expression: exp.Index) -> str:
-151    this = self.sql(expression, "this")
-152    table = self.sql(expression, "table")
-153    columns = self.sql(expression, "columns")
-154    return f"{this} ON TABLE {table} {columns}"
-155
-156
-157class Hive(Dialect):
-158    alias_post_tablesample = True
-159
-160    time_mapping = {
-161        "y": "%Y",
-162        "Y": "%Y",
-163        "YYYY": "%Y",
-164        "yyyy": "%Y",
-165        "YY": "%y",
-166        "yy": "%y",
-167        "MMMM": "%B",
-168        "MMM": "%b",
-169        "MM": "%m",
-170        "M": "%-m",
-171        "dd": "%d",
-172        "d": "%-d",
-173        "HH": "%H",
-174        "H": "%-H",
-175        "hh": "%I",
-176        "h": "%-I",
-177        "mm": "%M",
-178        "m": "%-M",
-179        "ss": "%S",
-180        "s": "%-S",
-181        "SSSSSS": "%f",
-182        "a": "%p",
-183        "DD": "%j",
-184        "D": "%-j",
-185        "E": "%a",
-186        "EE": "%a",
-187        "EEE": "%a",
-188        "EEEE": "%A",
-189    }
-190
-191    date_format = "'yyyy-MM-dd'"
-192    dateint_format = "'yyyyMMdd'"
-193    time_format = "'yyyy-MM-dd HH:mm:ss'"
+150class Hive(Dialect):
+151    alias_post_tablesample = True
+152
+153    time_mapping = {
+154        "y": "%Y",
+155        "Y": "%Y",
+156        "YYYY": "%Y",
+157        "yyyy": "%Y",
+158        "YY": "%y",
+159        "yy": "%y",
+160        "MMMM": "%B",
+161        "MMM": "%b",
+162        "MM": "%m",
+163        "M": "%-m",
+164        "dd": "%d",
+165        "d": "%-d",
+166        "HH": "%H",
+167        "H": "%-H",
+168        "hh": "%I",
+169        "h": "%-I",
+170        "mm": "%M",
+171        "m": "%-M",
+172        "ss": "%S",
+173        "s": "%-S",
+174        "SSSSSS": "%f",
+175        "a": "%p",
+176        "DD": "%j",
+177        "D": "%-j",
+178        "E": "%a",
+179        "EE": "%a",
+180        "EEE": "%a",
+181        "EEEE": "%A",
+182    }
+183
+184    date_format = "'yyyy-MM-dd'"
+185    dateint_format = "'yyyyMMdd'"
+186    time_format = "'yyyy-MM-dd HH:mm:ss'"
+187
+188    class Tokenizer(tokens.Tokenizer):
+189        QUOTES = ["'", '"']
+190        IDENTIFIERS = ["`"]
+191        STRING_ESCAPES = ["\\"]
+192        ENCODE = "utf-8"
+193        IDENTIFIER_CAN_START_WITH_DIGIT = True
 194
-195    class Tokenizer(tokens.Tokenizer):
-196        QUOTES = ["'", '"']
-197        IDENTIFIERS = ["`"]
-198        STRING_ESCAPES = ["\\"]
-199        ENCODE = "utf-8"
-200        IDENTIFIER_CAN_START_WITH_DIGIT = True
-201
-202        KEYWORDS = {
-203            **tokens.Tokenizer.KEYWORDS,
-204            "ADD ARCHIVE": TokenType.COMMAND,
-205            "ADD ARCHIVES": TokenType.COMMAND,
-206            "ADD FILE": TokenType.COMMAND,
-207            "ADD FILES": TokenType.COMMAND,
-208            "ADD JAR": TokenType.COMMAND,
-209            "ADD JARS": TokenType.COMMAND,
-210            "MSCK REPAIR": TokenType.COMMAND,
-211            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
-212        }
-213
-214        NUMERIC_LITERALS = {
-215            "L": "BIGINT",
-216            "S": "SMALLINT",
-217            "Y": "TINYINT",
-218            "D": "DOUBLE",
-219            "F": "FLOAT",
-220            "BD": "DECIMAL",
-221        }
-222
-223    class Parser(parser.Parser):
-224        LOG_DEFAULTS_TO_LN = True
-225        STRICT_CAST = False
-226
-227        FUNCTIONS = {
-228            **parser.Parser.FUNCTIONS,
-229            "BASE64": exp.ToBase64.from_arg_list,
-230            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
-231            "DATE_ADD": lambda args: exp.TsOrDsAdd(
-232                this=seq_get(args, 0),
-233                expression=seq_get(args, 1),
-234                unit=exp.Literal.string("DAY"),
-235            ),
-236            "DATEDIFF": lambda args: exp.DateDiff(
-237                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
-238                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
-239            ),
-240            "DATE_SUB": lambda args: exp.TsOrDsAdd(
-241                this=seq_get(args, 0),
-242                expression=exp.Mul(
-243                    this=seq_get(args, 1),
-244                    expression=exp.Literal.number(-1),
-245                ),
-246                unit=exp.Literal.string("DAY"),
-247            ),
-248            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
-249                [
-250                    exp.TimeStrToTime(this=seq_get(args, 0)),
-251                    seq_get(args, 1),
-252                ]
-253            ),
-254            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
-255            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
-256            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
-257            "LOCATE": locate_to_strposition,
-258            "MAP": parse_var_map,
-259            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
-260            "PERCENTILE": exp.Quantile.from_arg_list,
-261            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
-262            "COLLECT_SET": exp.SetAgg.from_arg_list,
-263            "SIZE": exp.ArraySize.from_arg_list,
-264            "SPLIT": exp.RegexpSplit.from_arg_list,
-265            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
-266            "TO_JSON": exp.JSONFormat.from_arg_list,
-267            "UNBASE64": exp.FromBase64.from_arg_list,
-268            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
-269            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
+195        KEYWORDS = {
+196            **tokens.Tokenizer.KEYWORDS,
+197            "ADD ARCHIVE": TokenType.COMMAND,
+198            "ADD ARCHIVES": TokenType.COMMAND,
+199            "ADD FILE": TokenType.COMMAND,
+200            "ADD FILES": TokenType.COMMAND,
+201            "ADD JAR": TokenType.COMMAND,
+202            "ADD JARS": TokenType.COMMAND,
+203            "MSCK REPAIR": TokenType.COMMAND,
+204            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
+205        }
+206
+207        NUMERIC_LITERALS = {
+208            "L": "BIGINT",
+209            "S": "SMALLINT",
+210            "Y": "TINYINT",
+211            "D": "DOUBLE",
+212            "F": "FLOAT",
+213            "BD": "DECIMAL",
+214        }
+215
+216    class Parser(parser.Parser):
+217        LOG_DEFAULTS_TO_LN = True
+218        STRICT_CAST = False
+219
+220        FUNCTIONS = {
+221            **parser.Parser.FUNCTIONS,
+222            "BASE64": exp.ToBase64.from_arg_list,
+223            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
+224            "DATE_ADD": lambda args: exp.TsOrDsAdd(
+225                this=seq_get(args, 0),
+226                expression=seq_get(args, 1),
+227                unit=exp.Literal.string("DAY"),
+228            ),
+229            "DATEDIFF": lambda args: exp.DateDiff(
+230                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
+231                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
+232            ),
+233            "DATE_SUB": lambda args: exp.TsOrDsAdd(
+234                this=seq_get(args, 0),
+235                expression=exp.Mul(
+236                    this=seq_get(args, 1),
+237                    expression=exp.Literal.number(-1),
+238                ),
+239                unit=exp.Literal.string("DAY"),
+240            ),
+241            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
+242                [
+243                    exp.TimeStrToTime(this=seq_get(args, 0)),
+244                    seq_get(args, 1),
+245                ]
+246            ),
+247            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
+248            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
+249            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
+250            "LOCATE": locate_to_strposition,
+251            "MAP": parse_var_map,
+252            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
+253            "PERCENTILE": exp.Quantile.from_arg_list,
+254            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
+255            "COLLECT_SET": exp.SetAgg.from_arg_list,
+256            "SIZE": exp.ArraySize.from_arg_list,
+257            "SPLIT": exp.RegexpSplit.from_arg_list,
+258            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
+259            "TO_JSON": exp.JSONFormat.from_arg_list,
+260            "UNBASE64": exp.FromBase64.from_arg_list,
+261            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
+262            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
+263        }
+264
+265        PROPERTY_PARSERS = {
+266            **parser.Parser.PROPERTY_PARSERS,
+267            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
+268                expressions=self._parse_wrapped_csv(self._parse_property)
+269            ),
 270        }
 271
-272        PROPERTY_PARSERS = {
-273            **parser.Parser.PROPERTY_PARSERS,
-274            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
-275                expressions=self._parse_wrapped_csv(self._parse_property)
-276            ),
+272        QUERY_MODIFIER_PARSERS = {
+273            **parser.Parser.QUERY_MODIFIER_PARSERS,
+274            "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"),
+275            "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
+276            "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
 277        }
 278
-279        QUERY_MODIFIER_PARSERS = {
-280            **parser.Parser.QUERY_MODIFIER_PARSERS,
-281            "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"),
-282            "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
-283            "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
-284        }
-285
-286    class Generator(generator.Generator):
-287        LIMIT_FETCH = "LIMIT"
-288        TABLESAMPLE_WITH_METHOD = False
-289        TABLESAMPLE_SIZE_IS_PERCENT = True
-290        JOIN_HINTS = False
-291        TABLE_HINTS = False
-292
-293        TYPE_MAPPING = {
-294            **generator.Generator.TYPE_MAPPING,
-295            exp.DataType.Type.TEXT: "STRING",
-296            exp.DataType.Type.DATETIME: "TIMESTAMP",
-297            exp.DataType.Type.VARBINARY: "BINARY",
-298            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-299            exp.DataType.Type.BIT: "BOOLEAN",
-300        }
-301
-302        TRANSFORMS = {
-303            **generator.Generator.TRANSFORMS,
-304            exp.Group: transforms.preprocess([transforms.unalias_group]),
-305            exp.Select: transforms.preprocess(
-306                [
-307                    transforms.eliminate_qualify,
-308                    transforms.eliminate_distinct_on,
-309                    transforms.unnest_to_explode,
-310                ]
-311            ),
-312            exp.Property: _property_sql,
-313            exp.ApproxDistinct: approx_count_distinct_sql,
-314            exp.ArrayConcat: rename_func("CONCAT"),
-315            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
-316            exp.ArraySize: rename_func("SIZE"),
-317            exp.ArraySort: _array_sort_sql,
-318            exp.With: no_recursive_cte_sql,
-319            exp.DateAdd: _add_date_sql,
-320            exp.DateDiff: _date_diff_sql,
-321            exp.DateStrToDate: rename_func("TO_DATE"),
-322            exp.DateSub: _add_date_sql,
-323            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)",
-324            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})",
-325            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
-326            exp.FromBase64: rename_func("UNBASE64"),
-327            exp.If: if_sql,
-328            exp.Index: _index_sql,
-329            exp.ILike: no_ilike_sql,
-330            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
-331            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
-332            exp.JSONFormat: _json_format_sql,
-333            exp.Map: var_map_sql,
-334            exp.Max: max_or_greatest,
-335            exp.Min: min_or_least,
-336            exp.VarMap: var_map_sql,
-337            exp.Create: create_with_partitions_sql,
-338            exp.Quantile: rename_func("PERCENTILE"),
-339            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
-340            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
-341            exp.RegexpSplit: rename_func("SPLIT"),
-342            exp.SafeDivide: no_safe_divide_sql,
-343            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
-344            exp.SetAgg: rename_func("COLLECT_SET"),
-345            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
-346            exp.StrPosition: strposition_to_locate_sql,
-347            exp.StrToDate: _str_to_date_sql,
-348            exp.StrToTime: _str_to_time_sql,
-349            exp.StrToUnix: _str_to_unix_sql,
-350            exp.StructExtract: struct_extract_sql,
-351            exp.TimeStrToDate: rename_func("TO_DATE"),
-352            exp.TimeStrToTime: timestrtotime_sql,
-353            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
-354            exp.TimeToStr: _time_to_str,
-355            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
-356            exp.ToBase64: rename_func("BASE64"),
-357            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
-358            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-359            exp.TsOrDsToDate: _to_date_sql,
-360            exp.TryCast: no_trycast_sql,
-361            exp.UnixToStr: lambda self, e: self.func(
-362                "FROM_UNIXTIME", e.this, _time_format(self, e)
-363            ),
-364            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
-365            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
-366            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
-367            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
-368            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
-369            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
-370            exp.LastDateOfMonth: rename_func("LAST_DAY"),
-371            exp.National: lambda self, e: self.sql(e, "this"),
+279    class Generator(generator.Generator):
+280        LIMIT_FETCH = "LIMIT"
+281        TABLESAMPLE_WITH_METHOD = False
+282        TABLESAMPLE_SIZE_IS_PERCENT = True
+283        JOIN_HINTS = False
+284        TABLE_HINTS = False
+285        INDEX_ON = "ON TABLE"
+286
+287        TYPE_MAPPING = {
+288            **generator.Generator.TYPE_MAPPING,
+289            exp.DataType.Type.TEXT: "STRING",
+290            exp.DataType.Type.DATETIME: "TIMESTAMP",
+291            exp.DataType.Type.VARBINARY: "BINARY",
+292            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+293            exp.DataType.Type.BIT: "BOOLEAN",
+294        }
+295
+296        TRANSFORMS = {
+297            **generator.Generator.TRANSFORMS,
+298            exp.Group: transforms.preprocess([transforms.unalias_group]),
+299            exp.Select: transforms.preprocess(
+300                [
+301                    transforms.eliminate_qualify,
+302                    transforms.eliminate_distinct_on,
+303                    transforms.unnest_to_explode,
+304                ]
+305            ),
+306            exp.Property: _property_sql,
+307            exp.ApproxDistinct: approx_count_distinct_sql,
+308            exp.ArrayConcat: rename_func("CONCAT"),
+309            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
+310            exp.ArraySize: rename_func("SIZE"),
+311            exp.ArraySort: _array_sort_sql,
+312            exp.With: no_recursive_cte_sql,
+313            exp.DateAdd: _add_date_sql,
+314            exp.DateDiff: _date_diff_sql,
+315            exp.DateStrToDate: rename_func("TO_DATE"),
+316            exp.DateSub: _add_date_sql,
+317            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)",
+318            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})",
+319            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
+320            exp.FromBase64: rename_func("UNBASE64"),
+321            exp.If: if_sql,
+322            exp.ILike: no_ilike_sql,
+323            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
+324            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
+325            exp.JSONFormat: _json_format_sql,
+326            exp.Map: var_map_sql,
+327            exp.Max: max_or_greatest,
+328            exp.Min: min_or_least,
+329            exp.VarMap: var_map_sql,
+330            exp.Create: create_with_partitions_sql,
+331            exp.Quantile: rename_func("PERCENTILE"),
+332            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
+333            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
+334            exp.RegexpSplit: rename_func("SPLIT"),
+335            exp.SafeDivide: no_safe_divide_sql,
+336            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
+337            exp.SetAgg: rename_func("COLLECT_SET"),
+338            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
+339            exp.StrPosition: strposition_to_locate_sql,
+340            exp.StrToDate: _str_to_date_sql,
+341            exp.StrToTime: _str_to_time_sql,
+342            exp.StrToUnix: _str_to_unix_sql,
+343            exp.StructExtract: struct_extract_sql,
+344            exp.TimeStrToDate: rename_func("TO_DATE"),
+345            exp.TimeStrToTime: timestrtotime_sql,
+346            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
+347            exp.TimeToStr: _time_to_str,
+348            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
+349            exp.ToBase64: rename_func("BASE64"),
+350            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
+351            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+352            exp.TsOrDsToDate: _to_date_sql,
+353            exp.TryCast: no_trycast_sql,
+354            exp.UnixToStr: lambda self, e: self.func(
+355                "FROM_UNIXTIME", e.this, _time_format(self, e)
+356            ),
+357            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
+358            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
+359            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
+360            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
+361            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
+362            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
+363            exp.LastDateOfMonth: rename_func("LAST_DAY"),
+364            exp.National: lambda self, e: self.national_sql(e, prefix=""),
+365        }
+366
+367        PROPERTIES_LOCATION = {
+368            **generator.Generator.PROPERTIES_LOCATION,
+369            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
+370            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+371            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
 372        }
 373
-374        PROPERTIES_LOCATION = {
-375            **generator.Generator.PROPERTIES_LOCATION,
-376            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
-377            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-378            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-379        }
-380
-381        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
-382            return self.func(
-383                "COLLECT_LIST",
-384                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
-385            )
-386
-387        def with_properties(self, properties: exp.Properties) -> str:
-388            return self.properties(
-389                properties,
-390                prefix=self.seg("TBLPROPERTIES"),
-391            )
-392
-393        def datatype_sql(self, expression: exp.DataType) -> str:
-394            if (
-395                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
-396                and not expression.expressions
-397            ):
-398                expression = exp.DataType.build("text")
-399            elif expression.this in exp.DataType.TEMPORAL_TYPES:
-400                expression = exp.DataType.build(expression.this)
-401
-402            return super().datatype_sql(expression)
-403
-404        def after_having_modifiers(self, expression):
-405            return super().after_having_modifiers(expression) + [
-406                self.sql(expression, "distribute"),
-407                self.sql(expression, "sort"),
-408                self.sql(expression, "cluster"),
-409            ]
+374        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
+375            return self.func(
+376                "COLLECT_LIST",
+377                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
+378            )
+379
+380        def with_properties(self, properties: exp.Properties) -> str:
+381            return self.properties(
+382                properties,
+383                prefix=self.seg("TBLPROPERTIES"),
+384            )
+385
+386        def datatype_sql(self, expression: exp.DataType) -> str:
+387            if (
+388                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
+389                and not expression.expressions
+390            ):
+391                expression = exp.DataType.build("text")
+392            elif expression.this in exp.DataType.TEMPORAL_TYPES:
+393                expression = exp.DataType.build(expression.this)
+394
+395            return super().datatype_sql(expression)
+396
+397        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+398            return super().after_having_modifiers(expression) + [
+399                self.sql(expression, "distribute"),
+400                self.sql(expression, "sort"),
+401                self.sql(expression, "cluster"),
+402            ]
 
    
 
 
@@ -513,259 +506,259 @@ 
    
 
     
    
     
-            
    158class Hive(Dialect):
-159    alias_post_tablesample = True
-160
-161    time_mapping = {
-162        "y": "%Y",
-163        "Y": "%Y",
-164        "YYYY": "%Y",
-165        "yyyy": "%Y",
-166        "YY": "%y",
-167        "yy": "%y",
-168        "MMMM": "%B",
-169        "MMM": "%b",
-170        "MM": "%m",
-171        "M": "%-m",
-172        "dd": "%d",
-173        "d": "%-d",
-174        "HH": "%H",
-175        "H": "%-H",
-176        "hh": "%I",
-177        "h": "%-I",
-178        "mm": "%M",
-179        "m": "%-M",
-180        "ss": "%S",
-181        "s": "%-S",
-182        "SSSSSS": "%f",
-183        "a": "%p",
-184        "DD": "%j",
-185        "D": "%-j",
-186        "E": "%a",
-187        "EE": "%a",
-188        "EEE": "%a",
-189        "EEEE": "%A",
-190    }
-191
-192    date_format = "'yyyy-MM-dd'"
-193    dateint_format = "'yyyyMMdd'"
-194    time_format = "'yyyy-MM-dd HH:mm:ss'"
+            
    151class Hive(Dialect):
+152    alias_post_tablesample = True
+153
+154    time_mapping = {
+155        "y": "%Y",
+156        "Y": "%Y",
+157        "YYYY": "%Y",
+158        "yyyy": "%Y",
+159        "YY": "%y",
+160        "yy": "%y",
+161        "MMMM": "%B",
+162        "MMM": "%b",
+163        "MM": "%m",
+164        "M": "%-m",
+165        "dd": "%d",
+166        "d": "%-d",
+167        "HH": "%H",
+168        "H": "%-H",
+169        "hh": "%I",
+170        "h": "%-I",
+171        "mm": "%M",
+172        "m": "%-M",
+173        "ss": "%S",
+174        "s": "%-S",
+175        "SSSSSS": "%f",
+176        "a": "%p",
+177        "DD": "%j",
+178        "D": "%-j",
+179        "E": "%a",
+180        "EE": "%a",
+181        "EEE": "%a",
+182        "EEEE": "%A",
+183    }
+184
+185    date_format = "'yyyy-MM-dd'"
+186    dateint_format = "'yyyyMMdd'"
+187    time_format = "'yyyy-MM-dd HH:mm:ss'"
+188
+189    class Tokenizer(tokens.Tokenizer):
+190        QUOTES = ["'", '"']
+191        IDENTIFIERS = ["`"]
+192        STRING_ESCAPES = ["\\"]
+193        ENCODE = "utf-8"
+194        IDENTIFIER_CAN_START_WITH_DIGIT = True
 195
-196    class Tokenizer(tokens.Tokenizer):
-197        QUOTES = ["'", '"']
-198        IDENTIFIERS = ["`"]
-199        STRING_ESCAPES = ["\\"]
-200        ENCODE = "utf-8"
-201        IDENTIFIER_CAN_START_WITH_DIGIT = True
-202
-203        KEYWORDS = {
-204            **tokens.Tokenizer.KEYWORDS,
-205            "ADD ARCHIVE": TokenType.COMMAND,
-206            "ADD ARCHIVES": TokenType.COMMAND,
-207            "ADD FILE": TokenType.COMMAND,
-208            "ADD FILES": TokenType.COMMAND,
-209            "ADD JAR": TokenType.COMMAND,
-210            "ADD JARS": TokenType.COMMAND,
-211            "MSCK REPAIR": TokenType.COMMAND,
-212            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
-213        }
-214
-215        NUMERIC_LITERALS = {
-216            "L": "BIGINT",
-217            "S": "SMALLINT",
-218            "Y": "TINYINT",
-219            "D": "DOUBLE",
-220            "F": "FLOAT",
-221            "BD": "DECIMAL",
-222        }
-223
-224    class Parser(parser.Parser):
-225        LOG_DEFAULTS_TO_LN = True
-226        STRICT_CAST = False
-227
-228        FUNCTIONS = {
-229            **parser.Parser.FUNCTIONS,
-230            "BASE64": exp.ToBase64.from_arg_list,
-231            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
-232            "DATE_ADD": lambda args: exp.TsOrDsAdd(
-233                this=seq_get(args, 0),
-234                expression=seq_get(args, 1),
-235                unit=exp.Literal.string("DAY"),
-236            ),
-237            "DATEDIFF": lambda args: exp.DateDiff(
-238                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
-239                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
-240            ),
-241            "DATE_SUB": lambda args: exp.TsOrDsAdd(
-242                this=seq_get(args, 0),
-243                expression=exp.Mul(
-244                    this=seq_get(args, 1),
-245                    expression=exp.Literal.number(-1),
-246                ),
-247                unit=exp.Literal.string("DAY"),
-248            ),
-249            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
-250                [
-251                    exp.TimeStrToTime(this=seq_get(args, 0)),
-252                    seq_get(args, 1),
-253                ]
-254            ),
-255            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
-256            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
-257            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
-258            "LOCATE": locate_to_strposition,
-259            "MAP": parse_var_map,
-260            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
-261            "PERCENTILE": exp.Quantile.from_arg_list,
-262            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
-263            "COLLECT_SET": exp.SetAgg.from_arg_list,
-264            "SIZE": exp.ArraySize.from_arg_list,
-265            "SPLIT": exp.RegexpSplit.from_arg_list,
-266            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
-267            "TO_JSON": exp.JSONFormat.from_arg_list,
-268            "UNBASE64": exp.FromBase64.from_arg_list,
-269            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
-270            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
+196        KEYWORDS = {
+197            **tokens.Tokenizer.KEYWORDS,
+198            "ADD ARCHIVE": TokenType.COMMAND,
+199            "ADD ARCHIVES": TokenType.COMMAND,
+200            "ADD FILE": TokenType.COMMAND,
+201            "ADD FILES": TokenType.COMMAND,
+202            "ADD JAR": TokenType.COMMAND,
+203            "ADD JARS": TokenType.COMMAND,
+204            "MSCK REPAIR": TokenType.COMMAND,
+205            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
+206        }
+207
+208        NUMERIC_LITERALS = {
+209            "L": "BIGINT",
+210            "S": "SMALLINT",
+211            "Y": "TINYINT",
+212            "D": "DOUBLE",
+213            "F": "FLOAT",
+214            "BD": "DECIMAL",
+215        }
+216
+217    class Parser(parser.Parser):
+218        LOG_DEFAULTS_TO_LN = True
+219        STRICT_CAST = False
+220
+221        FUNCTIONS = {
+222            **parser.Parser.FUNCTIONS,
+223            "BASE64": exp.ToBase64.from_arg_list,
+224            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
+225            "DATE_ADD": lambda args: exp.TsOrDsAdd(
+226                this=seq_get(args, 0),
+227                expression=seq_get(args, 1),
+228                unit=exp.Literal.string("DAY"),
+229            ),
+230            "DATEDIFF": lambda args: exp.DateDiff(
+231                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
+232                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
+233            ),
+234            "DATE_SUB": lambda args: exp.TsOrDsAdd(
+235                this=seq_get(args, 0),
+236                expression=exp.Mul(
+237                    this=seq_get(args, 1),
+238                    expression=exp.Literal.number(-1),
+239                ),
+240                unit=exp.Literal.string("DAY"),
+241            ),
+242            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
+243                [
+244                    exp.TimeStrToTime(this=seq_get(args, 0)),
+245                    seq_get(args, 1),
+246                ]
+247            ),
+248            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
+249            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
+250            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
+251            "LOCATE": locate_to_strposition,
+252            "MAP": parse_var_map,
+253            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
+254            "PERCENTILE": exp.Quantile.from_arg_list,
+255            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
+256            "COLLECT_SET": exp.SetAgg.from_arg_list,
+257            "SIZE": exp.ArraySize.from_arg_list,
+258            "SPLIT": exp.RegexpSplit.from_arg_list,
+259            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
+260            "TO_JSON": exp.JSONFormat.from_arg_list,
+261            "UNBASE64": exp.FromBase64.from_arg_list,
+262            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
+263            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
+264        }
+265
+266        PROPERTY_PARSERS = {
+267            **parser.Parser.PROPERTY_PARSERS,
+268            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
+269                expressions=self._parse_wrapped_csv(self._parse_property)
+270            ),
 271        }
 272
-273        PROPERTY_PARSERS = {
-274            **parser.Parser.PROPERTY_PARSERS,
-275            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
-276                expressions=self._parse_wrapped_csv(self._parse_property)
-277            ),
+273        QUERY_MODIFIER_PARSERS = {
+274            **parser.Parser.QUERY_MODIFIER_PARSERS,
+275            "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"),
+276            "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
+277            "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
 278        }
 279
-280        QUERY_MODIFIER_PARSERS = {
-281            **parser.Parser.QUERY_MODIFIER_PARSERS,
-282            "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"),
-283            "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
-284            "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
-285        }
-286
-287    class Generator(generator.Generator):
-288        LIMIT_FETCH = "LIMIT"
-289        TABLESAMPLE_WITH_METHOD = False
-290        TABLESAMPLE_SIZE_IS_PERCENT = True
-291        JOIN_HINTS = False
-292        TABLE_HINTS = False
-293
-294        TYPE_MAPPING = {
-295            **generator.Generator.TYPE_MAPPING,
-296            exp.DataType.Type.TEXT: "STRING",
-297            exp.DataType.Type.DATETIME: "TIMESTAMP",
-298            exp.DataType.Type.VARBINARY: "BINARY",
-299            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-300            exp.DataType.Type.BIT: "BOOLEAN",
-301        }
-302
-303        TRANSFORMS = {
-304            **generator.Generator.TRANSFORMS,
-305            exp.Group: transforms.preprocess([transforms.unalias_group]),
-306            exp.Select: transforms.preprocess(
-307                [
-308                    transforms.eliminate_qualify,
-309                    transforms.eliminate_distinct_on,
-310                    transforms.unnest_to_explode,
-311                ]
-312            ),
-313            exp.Property: _property_sql,
-314            exp.ApproxDistinct: approx_count_distinct_sql,
-315            exp.ArrayConcat: rename_func("CONCAT"),
-316            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
-317            exp.ArraySize: rename_func("SIZE"),
-318            exp.ArraySort: _array_sort_sql,
-319            exp.With: no_recursive_cte_sql,
-320            exp.DateAdd: _add_date_sql,
-321            exp.DateDiff: _date_diff_sql,
-322            exp.DateStrToDate: rename_func("TO_DATE"),
-323            exp.DateSub: _add_date_sql,
-324            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)",
-325            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})",
-326            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
-327            exp.FromBase64: rename_func("UNBASE64"),
-328            exp.If: if_sql,
-329            exp.Index: _index_sql,
-330            exp.ILike: no_ilike_sql,
-331            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
-332            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
-333            exp.JSONFormat: _json_format_sql,
-334            exp.Map: var_map_sql,
-335            exp.Max: max_or_greatest,
-336            exp.Min: min_or_least,
-337            exp.VarMap: var_map_sql,
-338            exp.Create: create_with_partitions_sql,
-339            exp.Quantile: rename_func("PERCENTILE"),
-340            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
-341            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
-342            exp.RegexpSplit: rename_func("SPLIT"),
-343            exp.SafeDivide: no_safe_divide_sql,
-344            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
-345            exp.SetAgg: rename_func("COLLECT_SET"),
-346            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
-347            exp.StrPosition: strposition_to_locate_sql,
-348            exp.StrToDate: _str_to_date_sql,
-349            exp.StrToTime: _str_to_time_sql,
-350            exp.StrToUnix: _str_to_unix_sql,
-351            exp.StructExtract: struct_extract_sql,
-352            exp.TimeStrToDate: rename_func("TO_DATE"),
-353            exp.TimeStrToTime: timestrtotime_sql,
-354            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
-355            exp.TimeToStr: _time_to_str,
-356            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
-357            exp.ToBase64: rename_func("BASE64"),
-358            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
-359            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-360            exp.TsOrDsToDate: _to_date_sql,
-361            exp.TryCast: no_trycast_sql,
-362            exp.UnixToStr: lambda self, e: self.func(
-363                "FROM_UNIXTIME", e.this, _time_format(self, e)
-364            ),
-365            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
-366            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
-367            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
-368            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
-369            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
-370            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
-371            exp.LastDateOfMonth: rename_func("LAST_DAY"),
-372            exp.National: lambda self, e: self.sql(e, "this"),
+280    class Generator(generator.Generator):
+281        LIMIT_FETCH = "LIMIT"
+282        TABLESAMPLE_WITH_METHOD = False
+283        TABLESAMPLE_SIZE_IS_PERCENT = True
+284        JOIN_HINTS = False
+285        TABLE_HINTS = False
+286        INDEX_ON = "ON TABLE"
+287
+288        TYPE_MAPPING = {
+289            **generator.Generator.TYPE_MAPPING,
+290            exp.DataType.Type.TEXT: "STRING",
+291            exp.DataType.Type.DATETIME: "TIMESTAMP",
+292            exp.DataType.Type.VARBINARY: "BINARY",
+293            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+294            exp.DataType.Type.BIT: "BOOLEAN",
+295        }
+296
+297        TRANSFORMS = {
+298            **generator.Generator.TRANSFORMS,
+299            exp.Group: transforms.preprocess([transforms.unalias_group]),
+300            exp.Select: transforms.preprocess(
+301                [
+302                    transforms.eliminate_qualify,
+303                    transforms.eliminate_distinct_on,
+304                    transforms.unnest_to_explode,
+305                ]
+306            ),
+307            exp.Property: _property_sql,
+308            exp.ApproxDistinct: approx_count_distinct_sql,
+309            exp.ArrayConcat: rename_func("CONCAT"),
+310            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
+311            exp.ArraySize: rename_func("SIZE"),
+312            exp.ArraySort: _array_sort_sql,
+313            exp.With: no_recursive_cte_sql,
+314            exp.DateAdd: _add_date_sql,
+315            exp.DateDiff: _date_diff_sql,
+316            exp.DateStrToDate: rename_func("TO_DATE"),
+317            exp.DateSub: _add_date_sql,
+318            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)",
+319            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})",
+320            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
+321            exp.FromBase64: rename_func("UNBASE64"),
+322            exp.If: if_sql,
+323            exp.ILike: no_ilike_sql,
+324            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
+325            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
+326            exp.JSONFormat: _json_format_sql,
+327            exp.Map: var_map_sql,
+328            exp.Max: max_or_greatest,
+329            exp.Min: min_or_least,
+330            exp.VarMap: var_map_sql,
+331            exp.Create: create_with_partitions_sql,
+332            exp.Quantile: rename_func("PERCENTILE"),
+333            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
+334            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
+335            exp.RegexpSplit: rename_func("SPLIT"),
+336            exp.SafeDivide: no_safe_divide_sql,
+337            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
+338            exp.SetAgg: rename_func("COLLECT_SET"),
+339            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
+340            exp.StrPosition: strposition_to_locate_sql,
+341            exp.StrToDate: _str_to_date_sql,
+342            exp.StrToTime: _str_to_time_sql,
+343            exp.StrToUnix: _str_to_unix_sql,
+344            exp.StructExtract: struct_extract_sql,
+345            exp.TimeStrToDate: rename_func("TO_DATE"),
+346            exp.TimeStrToTime: timestrtotime_sql,
+347            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
+348            exp.TimeToStr: _time_to_str,
+349            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
+350            exp.ToBase64: rename_func("BASE64"),
+351            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
+352            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+353            exp.TsOrDsToDate: _to_date_sql,
+354            exp.TryCast: no_trycast_sql,
+355            exp.UnixToStr: lambda self, e: self.func(
+356                "FROM_UNIXTIME", e.this, _time_format(self, e)
+357            ),
+358            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
+359            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
+360            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
+361            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
+362            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
+363            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
+364            exp.LastDateOfMonth: rename_func("LAST_DAY"),
+365            exp.National: lambda self, e: self.national_sql(e, prefix=""),
+366        }
+367
+368        PROPERTIES_LOCATION = {
+369            **generator.Generator.PROPERTIES_LOCATION,
+370            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
+371            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+372            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
 373        }
 374
-375        PROPERTIES_LOCATION = {
-376            **generator.Generator.PROPERTIES_LOCATION,
-377            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
-378            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-379            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-380        }
-381
-382        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
-383            return self.func(
-384                "COLLECT_LIST",
-385                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
-386            )
-387
-388        def with_properties(self, properties: exp.Properties) -> str:
-389            return self.properties(
-390                properties,
-391                prefix=self.seg("TBLPROPERTIES"),
-392            )
-393
-394        def datatype_sql(self, expression: exp.DataType) -> str:
-395            if (
-396                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
-397                and not expression.expressions
-398            ):
-399                expression = exp.DataType.build("text")
-400            elif expression.this in exp.DataType.TEMPORAL_TYPES:
-401                expression = exp.DataType.build(expression.this)
-402
-403            return super().datatype_sql(expression)
-404
-405        def after_having_modifiers(self, expression):
-406            return super().after_having_modifiers(expression) + [
-407                self.sql(expression, "distribute"),
-408                self.sql(expression, "sort"),
-409                self.sql(expression, "cluster"),
-410            ]
+375        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
+376            return self.func(
+377                "COLLECT_LIST",
+378                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
+379            )
+380
+381        def with_properties(self, properties: exp.Properties) -> str:
+382            return self.properties(
+383                properties,
+384                prefix=self.seg("TBLPROPERTIES"),
+385            )
+386
+387        def datatype_sql(self, expression: exp.DataType) -> str:
+388            if (
+389                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
+390                and not expression.expressions
+391            ):
+392                expression = exp.DataType.build("text")
+393            elif expression.this in exp.DataType.TEMPORAL_TYPES:
+394                expression = exp.DataType.build(expression.this)
+395
+396            return super().datatype_sql(expression)
+397
+398        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+399            return super().after_having_modifiers(expression) + [
+400                self.sql(expression, "distribute"),
+401                self.sql(expression, "sort"),
+402                self.sql(expression, "cluster"),
+403            ]
 
    
 
 
@@ -800,33 +793,33 @@ 
    Inherited Members
    
 
     
    
     
-            
    196    class Tokenizer(tokens.Tokenizer):
-197        QUOTES = ["'", '"']
-198        IDENTIFIERS = ["`"]
-199        STRING_ESCAPES = ["\\"]
-200        ENCODE = "utf-8"
-201        IDENTIFIER_CAN_START_WITH_DIGIT = True
-202
-203        KEYWORDS = {
-204            **tokens.Tokenizer.KEYWORDS,
-205            "ADD ARCHIVE": TokenType.COMMAND,
-206            "ADD ARCHIVES": TokenType.COMMAND,
-207            "ADD FILE": TokenType.COMMAND,
-208            "ADD FILES": TokenType.COMMAND,
-209            "ADD JAR": TokenType.COMMAND,
-210            "ADD JARS": TokenType.COMMAND,
-211            "MSCK REPAIR": TokenType.COMMAND,
-212            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
-213        }
-214
-215        NUMERIC_LITERALS = {
-216            "L": "BIGINT",
-217            "S": "SMALLINT",
-218            "Y": "TINYINT",
-219            "D": "DOUBLE",
-220            "F": "FLOAT",
-221            "BD": "DECIMAL",
-222        }
+            
    189    class Tokenizer(tokens.Tokenizer):
+190        QUOTES = ["'", '"']
+191        IDENTIFIERS = ["`"]
+192        STRING_ESCAPES = ["\\"]
+193        ENCODE = "utf-8"
+194        IDENTIFIER_CAN_START_WITH_DIGIT = True
+195
+196        KEYWORDS = {
+197            **tokens.Tokenizer.KEYWORDS,
+198            "ADD ARCHIVE": TokenType.COMMAND,
+199            "ADD ARCHIVES": TokenType.COMMAND,
+200            "ADD FILE": TokenType.COMMAND,
+201            "ADD FILES": TokenType.COMMAND,
+202            "ADD JAR": TokenType.COMMAND,
+203            "ADD JARS": TokenType.COMMAND,
+204            "MSCK REPAIR": TokenType.COMMAND,
+205            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
+206        }
+207
+208        NUMERIC_LITERALS = {
+209            "L": "BIGINT",
+210            "S": "SMALLINT",
+211            "Y": "TINYINT",
+212            "D": "DOUBLE",
+213            "F": "FLOAT",
+214            "BD": "DECIMAL",
+215        }
 
    
 
 
@@ -854,68 +847,68 @@ 
    Inherited Members
    
 
     
    
     
-            
    224    class Parser(parser.Parser):
-225        LOG_DEFAULTS_TO_LN = True
-226        STRICT_CAST = False
-227
-228        FUNCTIONS = {
-229            **parser.Parser.FUNCTIONS,
-230            "BASE64": exp.ToBase64.from_arg_list,
-231            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
-232            "DATE_ADD": lambda args: exp.TsOrDsAdd(
-233                this=seq_get(args, 0),
-234                expression=seq_get(args, 1),
-235                unit=exp.Literal.string("DAY"),
-236            ),
-237            "DATEDIFF": lambda args: exp.DateDiff(
-238                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
-239                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
-240            ),
-241            "DATE_SUB": lambda args: exp.TsOrDsAdd(
-242                this=seq_get(args, 0),
-243                expression=exp.Mul(
-244                    this=seq_get(args, 1),
-245                    expression=exp.Literal.number(-1),
-246                ),
-247                unit=exp.Literal.string("DAY"),
-248            ),
-249            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
-250                [
-251                    exp.TimeStrToTime(this=seq_get(args, 0)),
-252                    seq_get(args, 1),
-253                ]
-254            ),
-255            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
-256            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
-257            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
-258            "LOCATE": locate_to_strposition,
-259            "MAP": parse_var_map,
-260            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
-261            "PERCENTILE": exp.Quantile.from_arg_list,
-262            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
-263            "COLLECT_SET": exp.SetAgg.from_arg_list,
-264            "SIZE": exp.ArraySize.from_arg_list,
-265            "SPLIT": exp.RegexpSplit.from_arg_list,
-266            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
-267            "TO_JSON": exp.JSONFormat.from_arg_list,
-268            "UNBASE64": exp.FromBase64.from_arg_list,
-269            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
-270            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
+            
    217    class Parser(parser.Parser):
+218        LOG_DEFAULTS_TO_LN = True
+219        STRICT_CAST = False
+220
+221        FUNCTIONS = {
+222            **parser.Parser.FUNCTIONS,
+223            "BASE64": exp.ToBase64.from_arg_list,
+224            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
+225            "DATE_ADD": lambda args: exp.TsOrDsAdd(
+226                this=seq_get(args, 0),
+227                expression=seq_get(args, 1),
+228                unit=exp.Literal.string("DAY"),
+229            ),
+230            "DATEDIFF": lambda args: exp.DateDiff(
+231                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
+232                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
+233            ),
+234            "DATE_SUB": lambda args: exp.TsOrDsAdd(
+235                this=seq_get(args, 0),
+236                expression=exp.Mul(
+237                    this=seq_get(args, 1),
+238                    expression=exp.Literal.number(-1),
+239                ),
+240                unit=exp.Literal.string("DAY"),
+241            ),
+242            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
+243                [
+244                    exp.TimeStrToTime(this=seq_get(args, 0)),
+245                    seq_get(args, 1),
+246                ]
+247            ),
+248            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
+249            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
+250            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
+251            "LOCATE": locate_to_strposition,
+252            "MAP": parse_var_map,
+253            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
+254            "PERCENTILE": exp.Quantile.from_arg_list,
+255            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
+256            "COLLECT_SET": exp.SetAgg.from_arg_list,
+257            "SIZE": exp.ArraySize.from_arg_list,
+258            "SPLIT": exp.RegexpSplit.from_arg_list,
+259            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
+260            "TO_JSON": exp.JSONFormat.from_arg_list,
+261            "UNBASE64": exp.FromBase64.from_arg_list,
+262            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
+263            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
+264        }
+265
+266        PROPERTY_PARSERS = {
+267            **parser.Parser.PROPERTY_PARSERS,
+268            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
+269                expressions=self._parse_wrapped_csv(self._parse_property)
+270            ),
 271        }
 272
-273        PROPERTY_PARSERS = {
-274            **parser.Parser.PROPERTY_PARSERS,
-275            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
-276                expressions=self._parse_wrapped_csv(self._parse_property)
-277            ),
+273        QUERY_MODIFIER_PARSERS = {
+274            **parser.Parser.QUERY_MODIFIER_PARSERS,
+275            "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"),
+276            "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
+277            "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
 278        }
-279
-280        QUERY_MODIFIER_PARSERS = {
-281            **parser.Parser.QUERY_MODIFIER_PARSERS,
-282            "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"),
-283            "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
-284            "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
-285        }
 
    
 
 
@@ -972,130 +965,130 @@ 
    Inherited Members
    
 
     
    
     
-            
    287    class Generator(generator.Generator):
-288        LIMIT_FETCH = "LIMIT"
-289        TABLESAMPLE_WITH_METHOD = False
-290        TABLESAMPLE_SIZE_IS_PERCENT = True
-291        JOIN_HINTS = False
-292        TABLE_HINTS = False
-293
-294        TYPE_MAPPING = {
-295            **generator.Generator.TYPE_MAPPING,
-296            exp.DataType.Type.TEXT: "STRING",
-297            exp.DataType.Type.DATETIME: "TIMESTAMP",
-298            exp.DataType.Type.VARBINARY: "BINARY",
-299            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-300            exp.DataType.Type.BIT: "BOOLEAN",
-301        }
-302
-303        TRANSFORMS = {
-304            **generator.Generator.TRANSFORMS,
-305            exp.Group: transforms.preprocess([transforms.unalias_group]),
-306            exp.Select: transforms.preprocess(
-307                [
-308                    transforms.eliminate_qualify,
-309                    transforms.eliminate_distinct_on,
-310                    transforms.unnest_to_explode,
-311                ]
-312            ),
-313            exp.Property: _property_sql,
-314            exp.ApproxDistinct: approx_count_distinct_sql,
-315            exp.ArrayConcat: rename_func("CONCAT"),
-316            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
-317            exp.ArraySize: rename_func("SIZE"),
-318            exp.ArraySort: _array_sort_sql,
-319            exp.With: no_recursive_cte_sql,
-320            exp.DateAdd: _add_date_sql,
-321            exp.DateDiff: _date_diff_sql,
-322            exp.DateStrToDate: rename_func("TO_DATE"),
-323            exp.DateSub: _add_date_sql,
-324            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)",
-325            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})",
-326            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
-327            exp.FromBase64: rename_func("UNBASE64"),
-328            exp.If: if_sql,
-329            exp.Index: _index_sql,
-330            exp.ILike: no_ilike_sql,
-331            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
-332            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
-333            exp.JSONFormat: _json_format_sql,
-334            exp.Map: var_map_sql,
-335            exp.Max: max_or_greatest,
-336            exp.Min: min_or_least,
-337            exp.VarMap: var_map_sql,
-338            exp.Create: create_with_partitions_sql,
-339            exp.Quantile: rename_func("PERCENTILE"),
-340            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
-341            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
-342            exp.RegexpSplit: rename_func("SPLIT"),
-343            exp.SafeDivide: no_safe_divide_sql,
-344            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
-345            exp.SetAgg: rename_func("COLLECT_SET"),
-346            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
-347            exp.StrPosition: strposition_to_locate_sql,
-348            exp.StrToDate: _str_to_date_sql,
-349            exp.StrToTime: _str_to_time_sql,
-350            exp.StrToUnix: _str_to_unix_sql,
-351            exp.StructExtract: struct_extract_sql,
-352            exp.TimeStrToDate: rename_func("TO_DATE"),
-353            exp.TimeStrToTime: timestrtotime_sql,
-354            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
-355            exp.TimeToStr: _time_to_str,
-356            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
-357            exp.ToBase64: rename_func("BASE64"),
-358            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
-359            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-360            exp.TsOrDsToDate: _to_date_sql,
-361            exp.TryCast: no_trycast_sql,
-362            exp.UnixToStr: lambda self, e: self.func(
-363                "FROM_UNIXTIME", e.this, _time_format(self, e)
-364            ),
-365            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
-366            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
-367            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
-368            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
-369            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
-370            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
-371            exp.LastDateOfMonth: rename_func("LAST_DAY"),
-372            exp.National: lambda self, e: self.sql(e, "this"),
+            
    280    class Generator(generator.Generator):
+281        LIMIT_FETCH = "LIMIT"
+282        TABLESAMPLE_WITH_METHOD = False
+283        TABLESAMPLE_SIZE_IS_PERCENT = True
+284        JOIN_HINTS = False
+285        TABLE_HINTS = False
+286        INDEX_ON = "ON TABLE"
+287
+288        TYPE_MAPPING = {
+289            **generator.Generator.TYPE_MAPPING,
+290            exp.DataType.Type.TEXT: "STRING",
+291            exp.DataType.Type.DATETIME: "TIMESTAMP",
+292            exp.DataType.Type.VARBINARY: "BINARY",
+293            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+294            exp.DataType.Type.BIT: "BOOLEAN",
+295        }
+296
+297        TRANSFORMS = {
+298            **generator.Generator.TRANSFORMS,
+299            exp.Group: transforms.preprocess([transforms.unalias_group]),
+300            exp.Select: transforms.preprocess(
+301                [
+302                    transforms.eliminate_qualify,
+303                    transforms.eliminate_distinct_on,
+304                    transforms.unnest_to_explode,
+305                ]
+306            ),
+307            exp.Property: _property_sql,
+308            exp.ApproxDistinct: approx_count_distinct_sql,
+309            exp.ArrayConcat: rename_func("CONCAT"),
+310            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
+311            exp.ArraySize: rename_func("SIZE"),
+312            exp.ArraySort: _array_sort_sql,
+313            exp.With: no_recursive_cte_sql,
+314            exp.DateAdd: _add_date_sql,
+315            exp.DateDiff: _date_diff_sql,
+316            exp.DateStrToDate: rename_func("TO_DATE"),
+317            exp.DateSub: _add_date_sql,
+318            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.dateint_format}) AS INT)",
+319            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.dateint_format})",
+320            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
+321            exp.FromBase64: rename_func("UNBASE64"),
+322            exp.If: if_sql,
+323            exp.ILike: no_ilike_sql,
+324            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
+325            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
+326            exp.JSONFormat: _json_format_sql,
+327            exp.Map: var_map_sql,
+328            exp.Max: max_or_greatest,
+329            exp.Min: min_or_least,
+330            exp.VarMap: var_map_sql,
+331            exp.Create: create_with_partitions_sql,
+332            exp.Quantile: rename_func("PERCENTILE"),
+333            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
+334            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
+335            exp.RegexpSplit: rename_func("SPLIT"),
+336            exp.SafeDivide: no_safe_divide_sql,
+337            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
+338            exp.SetAgg: rename_func("COLLECT_SET"),
+339            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
+340            exp.StrPosition: strposition_to_locate_sql,
+341            exp.StrToDate: _str_to_date_sql,
+342            exp.StrToTime: _str_to_time_sql,
+343            exp.StrToUnix: _str_to_unix_sql,
+344            exp.StructExtract: struct_extract_sql,
+345            exp.TimeStrToDate: rename_func("TO_DATE"),
+346            exp.TimeStrToTime: timestrtotime_sql,
+347            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
+348            exp.TimeToStr: _time_to_str,
+349            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
+350            exp.ToBase64: rename_func("BASE64"),
+351            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
+352            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+353            exp.TsOrDsToDate: _to_date_sql,
+354            exp.TryCast: no_trycast_sql,
+355            exp.UnixToStr: lambda self, e: self.func(
+356                "FROM_UNIXTIME", e.this, _time_format(self, e)
+357            ),
+358            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
+359            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
+360            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
+361            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
+362            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
+363            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
+364            exp.LastDateOfMonth: rename_func("LAST_DAY"),
+365            exp.National: lambda self, e: self.national_sql(e, prefix=""),
+366        }
+367
+368        PROPERTIES_LOCATION = {
+369            **generator.Generator.PROPERTIES_LOCATION,
+370            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
+371            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+372            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
 373        }
 374
-375        PROPERTIES_LOCATION = {
-376            **generator.Generator.PROPERTIES_LOCATION,
-377            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
-378            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-379            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-380        }
-381
-382        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
-383            return self.func(
-384                "COLLECT_LIST",
-385                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
-386            )
-387
-388        def with_properties(self, properties: exp.Properties) -> str:
-389            return self.properties(
-390                properties,
-391                prefix=self.seg("TBLPROPERTIES"),
-392            )
-393
-394        def datatype_sql(self, expression: exp.DataType) -> str:
-395            if (
-396                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
-397                and not expression.expressions
-398            ):
-399                expression = exp.DataType.build("text")
-400            elif expression.this in exp.DataType.TEMPORAL_TYPES:
-401                expression = exp.DataType.build(expression.this)
-402
-403            return super().datatype_sql(expression)
-404
-405        def after_having_modifiers(self, expression):
-406            return super().after_having_modifiers(expression) + [
-407                self.sql(expression, "distribute"),
-408                self.sql(expression, "sort"),
-409                self.sql(expression, "cluster"),
-410            ]
+375        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
+376            return self.func(
+377                "COLLECT_LIST",
+378                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
+379            )
+380
+381        def with_properties(self, properties: exp.Properties) -> str:
+382            return self.properties(
+383                properties,
+384                prefix=self.seg("TBLPROPERTIES"),
+385            )
+386
+387        def datatype_sql(self, expression: exp.DataType) -> str:
+388            if (
+389                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
+390                and not expression.expressions
+391            ):
+392                expression = exp.DataType.build("text")
+393            elif expression.this in exp.DataType.TEMPORAL_TYPES:
+394                expression = exp.DataType.build(expression.this)
+395
+396            return super().datatype_sql(expression)
+397
+398        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+399            return super().after_having_modifiers(expression) + [
+400                self.sql(expression, "distribute"),
+401                self.sql(expression, "sort"),
+402                self.sql(expression, "cluster"),
+403            ]
 
    
 
 
@@ -1118,6 +1111,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1160,11 +1155,11 @@ 
    Arguments:
    
 
     
    
     
-            
    382        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
-383            return self.func(
-384                "COLLECT_LIST",
-385                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
-386            )
+            
    375        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
+376            return self.func(
+377                "COLLECT_LIST",
+378                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
+379            )
 
    
 
 
@@ -1182,11 +1177,11 @@ 
    Arguments:
    
 
     
    
     
-            
    388        def with_properties(self, properties: exp.Properties) -> str:
-389            return self.properties(
-390                properties,
-391                prefix=self.seg("TBLPROPERTIES"),
-392            )
+            
    381        def with_properties(self, properties: exp.Properties) -> str:
+382            return self.properties(
+383                properties,
+384                prefix=self.seg("TBLPROPERTIES"),
+385            )
 
    
 
 
@@ -1204,16 +1199,16 @@ 
    Arguments:
    
 
     
    
     
-            
    394        def datatype_sql(self, expression: exp.DataType) -> str:
-395            if (
-396                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
-397                and not expression.expressions
-398            ):
-399                expression = exp.DataType.build("text")
-400            elif expression.this in exp.DataType.TEMPORAL_TYPES:
-401                expression = exp.DataType.build(expression.this)
-402
-403            return super().datatype_sql(expression)
+            
    387        def datatype_sql(self, expression: exp.DataType) -> str:
+388            if (
+389                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
+390                and not expression.expressions
+391            ):
+392                expression = exp.DataType.build("text")
+393            elif expression.this in exp.DataType.TEMPORAL_TYPES:
+394                expression = exp.DataType.build(expression.this)
+395
+396            return super().datatype_sql(expression)
 
    
 
 
@@ -1225,18 +1220,18 @@ 
    Arguments:
    
 
    
             
         def
-        after_having_modifiers(self, expression):
+        after_having_modifiers(self, expression: sqlglot.expressions.Expression) -> List[str]:
 
                 
 
     
    
     
-            
    405        def after_having_modifiers(self, expression):
-406            return super().after_having_modifiers(expression) + [
-407                self.sql(expression, "distribute"),
-408                self.sql(expression, "sort"),
-409                self.sql(expression, "cluster"),
-410            ]
+            
    398        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+399            return super().after_having_modifiers(expression) + [
+400                self.sql(expression, "distribute"),
+401                self.sql(expression, "sort"),
+402                self.sql(expression, "cluster"),
+403            ]
 
    
 
 
@@ -1282,6 +1277,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    directory_sql
    
                 
    delete_sql
    
diff --git a/docs/sqlglot/dialects/mysql.html b/docs/sqlglot/dialects/mysql.html
index f60bddbd28..f0f4703236 100644
--- a/docs/sqlglot/dialects/mysql.html
+++ b/docs/sqlglot/dialects/mysql.html
@@ -82,485 +82,492 @@ 
    
 
                         
      1from __future__ import annotations
   2
-  3from sqlglot import exp, generator, parser, tokens, transforms
-  4from sqlglot.dialects.dialect import (
-  5    Dialect,
-  6    arrow_json_extract_scalar_sql,
-  7    datestrtodate_sql,
-  8    format_time_lambda,
-  9    locate_to_strposition,
- 10    max_or_greatest,
- 11    min_or_least,
- 12    no_ilike_sql,
- 13    no_paren_current_date_sql,
- 14    no_pivot_sql,
- 15    no_tablesample_sql,
- 16    no_trycast_sql,
- 17    parse_date_delta_with_interval,
- 18    rename_func,
- 19    strposition_to_locate_sql,
- 20)
- 21from sqlglot.helper import seq_get
- 22from sqlglot.tokens import TokenType
- 23
- 24
- 25def _show_parser(*args, **kwargs):
- 26    def _parse(self):
- 27        return self._parse_show_mysql(*args, **kwargs)
- 28
- 29    return _parse
+  3import typing as t
+  4
+  5from sqlglot import exp, generator, parser, tokens, transforms
+  6from sqlglot.dialects.dialect import (
+  7    Dialect,
+  8    arrow_json_extract_scalar_sql,
+  9    datestrtodate_sql,
+ 10    format_time_lambda,
+ 11    locate_to_strposition,
+ 12    max_or_greatest,
+ 13    min_or_least,
+ 14    no_ilike_sql,
+ 15    no_paren_current_date_sql,
+ 16    no_pivot_sql,
+ 17    no_tablesample_sql,
+ 18    no_trycast_sql,
+ 19    parse_date_delta_with_interval,
+ 20    rename_func,
+ 21    strposition_to_locate_sql,
+ 22)
+ 23from sqlglot.helper import seq_get
+ 24from sqlglot.tokens import TokenType
+ 25
+ 26
+ 27def _show_parser(*args: t.Any, **kwargs: t.Any) -> t.Callable[[MySQL.Parser], exp.Show]:
+ 28    def _parse(self: MySQL.Parser) -> exp.Show:
+ 29        return self._parse_show_mysql(*args, **kwargs)
  30
- 31
- 32def _date_trunc_sql(self, expression):
- 33    expr = self.sql(expression, "this")
- 34    unit = expression.text("unit")
- 35
- 36    if unit == "day":
- 37        return f"DATE({expr})"
- 38
- 39    if unit == "week":
- 40        concat = f"CONCAT(YEAR({expr}), ' ', WEEK({expr}, 1), ' 1')"
- 41        date_format = "%Y %u %w"
- 42    elif unit == "month":
- 43        concat = f"CONCAT(YEAR({expr}), ' ', MONTH({expr}), ' 1')"
- 44        date_format = "%Y %c %e"
- 45    elif unit == "quarter":
- 46        concat = f"CONCAT(YEAR({expr}), ' ', QUARTER({expr}) * 3 - 2, ' 1')"
- 47        date_format = "%Y %c %e"
- 48    elif unit == "year":
- 49        concat = f"CONCAT(YEAR({expr}), ' 1 1')"
- 50        date_format = "%Y %c %e"
- 51    else:
- 52        self.unsupported(f"Unexpected interval unit: {unit}")
- 53        return f"DATE({expr})"
- 54
- 55    return f"STR_TO_DATE({concat}, '{date_format}')"
+ 31    return _parse
+ 32
+ 33
+ 34def _date_trunc_sql(self: generator.Generator, expression: exp.DateTrunc) -> str:
+ 35    expr = self.sql(expression, "this")
+ 36    unit = expression.text("unit")
+ 37
+ 38    if unit == "day":
+ 39        return f"DATE({expr})"
+ 40
+ 41    if unit == "week":
+ 42        concat = f"CONCAT(YEAR({expr}), ' ', WEEK({expr}, 1), ' 1')"
+ 43        date_format = "%Y %u %w"
+ 44    elif unit == "month":
+ 45        concat = f"CONCAT(YEAR({expr}), ' ', MONTH({expr}), ' 1')"
+ 46        date_format = "%Y %c %e"
+ 47    elif unit == "quarter":
+ 48        concat = f"CONCAT(YEAR({expr}), ' ', QUARTER({expr}) * 3 - 2, ' 1')"
+ 49        date_format = "%Y %c %e"
+ 50    elif unit == "year":
+ 51        concat = f"CONCAT(YEAR({expr}), ' 1 1')"
+ 52        date_format = "%Y %c %e"
+ 53    else:
+ 54        self.unsupported(f"Unexpected interval unit: {unit}")
+ 55        return f"DATE({expr})"
  56
- 57
- 58def _str_to_date(args):
- 59    date_format = MySQL.format_time(seq_get(args, 1))
- 60    return exp.StrToDate(this=seq_get(args, 0), format=date_format)
- 61
- 62
- 63def _str_to_date_sql(self, expression):
- 64    date_format = self.format_time(expression)
- 65    return f"STR_TO_DATE({self.sql(expression.this)}, {date_format})"
- 66
- 67
- 68def _trim_sql(self, expression):
- 69    target = self.sql(expression, "this")
- 70    trim_type = self.sql(expression, "position")
- 71    remove_chars = self.sql(expression, "expression")
- 72
- 73    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't mysql-specific
- 74    if not remove_chars:
- 75        return self.trim_sql(expression)
- 76
- 77    trim_type = f"{trim_type} " if trim_type else ""
- 78    remove_chars = f"{remove_chars} " if remove_chars else ""
- 79    from_part = "FROM " if trim_type or remove_chars else ""
- 80    return f"TRIM({trim_type}{remove_chars}{from_part}{target})"
- 81
- 82
- 83def _date_add_sql(kind):
- 84    def func(self, expression):
- 85        this = self.sql(expression, "this")
- 86        unit = expression.text("unit").upper() or "DAY"
- 87        return (
- 88            f"DATE_{kind}({this}, {self.sql(exp.Interval(this=expression.expression, unit=unit))})"
- 89        )
- 90
- 91    return func
+ 57    return f"STR_TO_DATE({concat}, '{date_format}')"
+ 58
+ 59
+ 60def _str_to_date(args: t.List) -> exp.StrToDate:
+ 61    date_format = MySQL.format_time(seq_get(args, 1))
+ 62    return exp.StrToDate(this=seq_get(args, 0), format=date_format)
+ 63
+ 64
+ 65def _str_to_date_sql(self: generator.Generator, expression: exp.StrToDate | exp.StrToTime) -> str:
+ 66    date_format = self.format_time(expression)
+ 67    return f"STR_TO_DATE({self.sql(expression.this)}, {date_format})"
+ 68
+ 69
+ 70def _trim_sql(self: generator.Generator, expression: exp.Trim) -> str:
+ 71    target = self.sql(expression, "this")
+ 72    trim_type = self.sql(expression, "position")
+ 73    remove_chars = self.sql(expression, "expression")
+ 74
+ 75    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't mysql-specific
+ 76    if not remove_chars:
+ 77        return self.trim_sql(expression)
+ 78
+ 79    trim_type = f"{trim_type} " if trim_type else ""
+ 80    remove_chars = f"{remove_chars} " if remove_chars else ""
+ 81    from_part = "FROM " if trim_type or remove_chars else ""
+ 82    return f"TRIM({trim_type}{remove_chars}{from_part}{target})"
+ 83
+ 84
+ 85def _date_add_sql(kind: str) -> t.Callable[[generator.Generator, exp.DateAdd | exp.DateSub], str]:
+ 86    def func(self: generator.Generator, expression: exp.DateAdd | exp.DateSub) -> str:
+ 87        this = self.sql(expression, "this")
+ 88        unit = expression.text("unit").upper() or "DAY"
+ 89        return (
+ 90            f"DATE_{kind}({this}, {self.sql(exp.Interval(this=expression.expression, unit=unit))})"
+ 91        )
  92
- 93
- 94class MySQL(Dialect):
- 95    time_format = "'%Y-%m-%d %T'"
- 96
- 97    # https://prestodb.io/docs/current/functions/datetime.html#mysql-date-functions
- 98    time_mapping = {
- 99        "%M": "%B",
-100        "%c": "%-m",
-101        "%e": "%-d",
-102        "%h": "%I",
-103        "%i": "%M",
-104        "%s": "%S",
-105        "%S": "%S",
-106        "%u": "%W",
-107        "%k": "%-H",
-108        "%l": "%-I",
-109        "%T": "%H:%M:%S",
-110        "%W": "%a",
-111    }
-112
-113    class Tokenizer(tokens.Tokenizer):
-114        QUOTES = ["'", '"']
-115        COMMENTS = ["--", "#", ("/*", "*/")]
-116        IDENTIFIERS = ["`"]
-117        STRING_ESCAPES = ["'", "\\"]
-118        BIT_STRINGS = [("b'", "'"), ("B'", "'"), ("0b", "")]
-119        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", "")]
-120
-121        KEYWORDS = {
-122            **tokens.Tokenizer.KEYWORDS,
-123            "CHARSET": TokenType.CHARACTER_SET,
-124            "LONGBLOB": TokenType.LONGBLOB,
-125            "LONGTEXT": TokenType.LONGTEXT,
-126            "MEDIUMBLOB": TokenType.MEDIUMBLOB,
-127            "MEDIUMTEXT": TokenType.MEDIUMTEXT,
-128            "SEPARATOR": TokenType.SEPARATOR,
-129            "START": TokenType.BEGIN,
-130            "_ARMSCII8": TokenType.INTRODUCER,
-131            "_ASCII": TokenType.INTRODUCER,
-132            "_BIG5": TokenType.INTRODUCER,
-133            "_BINARY": TokenType.INTRODUCER,
-134            "_CP1250": TokenType.INTRODUCER,
-135            "_CP1251": TokenType.INTRODUCER,
-136            "_CP1256": TokenType.INTRODUCER,
-137            "_CP1257": TokenType.INTRODUCER,
-138            "_CP850": TokenType.INTRODUCER,
-139            "_CP852": TokenType.INTRODUCER,
-140            "_CP866": TokenType.INTRODUCER,
-141            "_CP932": TokenType.INTRODUCER,
-142            "_DEC8": TokenType.INTRODUCER,
-143            "_EUCJPMS": TokenType.INTRODUCER,
-144            "_EUCKR": TokenType.INTRODUCER,
-145            "_GB18030": TokenType.INTRODUCER,
-146            "_GB2312": TokenType.INTRODUCER,
-147            "_GBK": TokenType.INTRODUCER,
-148            "_GEOSTD8": TokenType.INTRODUCER,
-149            "_GREEK": TokenType.INTRODUCER,
-150            "_HEBREW": TokenType.INTRODUCER,
-151            "_HP8": TokenType.INTRODUCER,
-152            "_KEYBCS2": TokenType.INTRODUCER,
-153            "_KOI8R": TokenType.INTRODUCER,
-154            "_KOI8U": TokenType.INTRODUCER,
-155            "_LATIN1": TokenType.INTRODUCER,
-156            "_LATIN2": TokenType.INTRODUCER,
-157            "_LATIN5": TokenType.INTRODUCER,
-158            "_LATIN7": TokenType.INTRODUCER,
-159            "_MACCE": TokenType.INTRODUCER,
-160            "_MACROMAN": TokenType.INTRODUCER,
-161            "_SJIS": TokenType.INTRODUCER,
-162            "_SWE7": TokenType.INTRODUCER,
-163            "_TIS620": TokenType.INTRODUCER,
-164            "_UCS2": TokenType.INTRODUCER,
-165            "_UJIS": TokenType.INTRODUCER,
-166            # https://dev.mysql.com/doc/refman/8.0/en/string-literals.html
-167            "_UTF8": TokenType.INTRODUCER,
-168            "_UTF16": TokenType.INTRODUCER,
-169            "_UTF16LE": TokenType.INTRODUCER,
-170            "_UTF32": TokenType.INTRODUCER,
-171            "_UTF8MB3": TokenType.INTRODUCER,
-172            "_UTF8MB4": TokenType.INTRODUCER,
-173            "@@": TokenType.SESSION_PARAMETER,
-174        }
-175
-176        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
+ 93    return func
+ 94
+ 95
+ 96class MySQL(Dialect):
+ 97    time_format = "'%Y-%m-%d %T'"
+ 98
+ 99    # https://prestodb.io/docs/current/functions/datetime.html#mysql-date-functions
+100    time_mapping = {
+101        "%M": "%B",
+102        "%c": "%-m",
+103        "%e": "%-d",
+104        "%h": "%I",
+105        "%i": "%M",
+106        "%s": "%S",
+107        "%S": "%S",
+108        "%u": "%W",
+109        "%k": "%-H",
+110        "%l": "%-I",
+111        "%T": "%H:%M:%S",
+112        "%W": "%a",
+113    }
+114
+115    class Tokenizer(tokens.Tokenizer):
+116        QUOTES = ["'", '"']
+117        COMMENTS = ["--", "#", ("/*", "*/")]
+118        IDENTIFIERS = ["`"]
+119        STRING_ESCAPES = ["'", "\\"]
+120        BIT_STRINGS = [("b'", "'"), ("B'", "'"), ("0b", "")]
+121        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", "")]
+122
+123        KEYWORDS = {
+124            **tokens.Tokenizer.KEYWORDS,
+125            "CHARSET": TokenType.CHARACTER_SET,
+126            "LONGBLOB": TokenType.LONGBLOB,
+127            "LONGTEXT": TokenType.LONGTEXT,
+128            "MEDIUMBLOB": TokenType.MEDIUMBLOB,
+129            "MEDIUMTEXT": TokenType.MEDIUMTEXT,
+130            "SEPARATOR": TokenType.SEPARATOR,
+131            "START": TokenType.BEGIN,
+132            "_ARMSCII8": TokenType.INTRODUCER,
+133            "_ASCII": TokenType.INTRODUCER,
+134            "_BIG5": TokenType.INTRODUCER,
+135            "_BINARY": TokenType.INTRODUCER,
+136            "_CP1250": TokenType.INTRODUCER,
+137            "_CP1251": TokenType.INTRODUCER,
+138            "_CP1256": TokenType.INTRODUCER,
+139            "_CP1257": TokenType.INTRODUCER,
+140            "_CP850": TokenType.INTRODUCER,
+141            "_CP852": TokenType.INTRODUCER,
+142            "_CP866": TokenType.INTRODUCER,
+143            "_CP932": TokenType.INTRODUCER,
+144            "_DEC8": TokenType.INTRODUCER,
+145            "_EUCJPMS": TokenType.INTRODUCER,
+146            "_EUCKR": TokenType.INTRODUCER,
+147            "_GB18030": TokenType.INTRODUCER,
+148            "_GB2312": TokenType.INTRODUCER,
+149            "_GBK": TokenType.INTRODUCER,
+150            "_GEOSTD8": TokenType.INTRODUCER,
+151            "_GREEK": TokenType.INTRODUCER,
+152            "_HEBREW": TokenType.INTRODUCER,
+153            "_HP8": TokenType.INTRODUCER,
+154            "_KEYBCS2": TokenType.INTRODUCER,
+155            "_KOI8R": TokenType.INTRODUCER,
+156            "_KOI8U": TokenType.INTRODUCER,
+157            "_LATIN1": TokenType.INTRODUCER,
+158            "_LATIN2": TokenType.INTRODUCER,
+159            "_LATIN5": TokenType.INTRODUCER,
+160            "_LATIN7": TokenType.INTRODUCER,
+161            "_MACCE": TokenType.INTRODUCER,
+162            "_MACROMAN": TokenType.INTRODUCER,
+163            "_SJIS": TokenType.INTRODUCER,
+164            "_SWE7": TokenType.INTRODUCER,
+165            "_TIS620": TokenType.INTRODUCER,
+166            "_UCS2": TokenType.INTRODUCER,
+167            "_UJIS": TokenType.INTRODUCER,
+168            # https://dev.mysql.com/doc/refman/8.0/en/string-literals.html
+169            "_UTF8": TokenType.INTRODUCER,
+170            "_UTF16": TokenType.INTRODUCER,
+171            "_UTF16LE": TokenType.INTRODUCER,
+172            "_UTF32": TokenType.INTRODUCER,
+173            "_UTF8MB3": TokenType.INTRODUCER,
+174            "_UTF8MB4": TokenType.INTRODUCER,
+175            "@@": TokenType.SESSION_PARAMETER,
+176        }
 177
-178    class Parser(parser.Parser):
-179        FUNC_TOKENS = {*parser.Parser.FUNC_TOKENS, TokenType.SCHEMA, TokenType.DATABASE}
-180
-181        FUNCTIONS = {
-182            **parser.Parser.FUNCTIONS,
-183            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
-184            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "mysql"),
-185            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
-186            "INSTR": lambda args: exp.StrPosition(substr=seq_get(args, 1), this=seq_get(args, 0)),
-187            "LEFT": lambda args: exp.Substring(
-188                this=seq_get(args, 0), start=exp.Literal.number(1), length=seq_get(args, 1)
-189            ),
-190            "LOCATE": locate_to_strposition,
-191            "STR_TO_DATE": _str_to_date,
-192        }
-193
-194        FUNCTION_PARSERS = {
-195            **parser.Parser.FUNCTION_PARSERS,
-196            "GROUP_CONCAT": lambda self: self.expression(
-197                exp.GroupConcat,
-198                this=self._parse_lambda(),
-199                separator=self._match(TokenType.SEPARATOR) and self._parse_field(),
-200            ),
-201        }
-202
-203        STATEMENT_PARSERS = {
-204            **parser.Parser.STATEMENT_PARSERS,
-205            TokenType.SHOW: lambda self: self._parse_show(),
-206        }
-207
-208        SHOW_PARSERS = {
-209            "BINARY LOGS": _show_parser("BINARY LOGS"),
-210            "MASTER LOGS": _show_parser("BINARY LOGS"),
-211            "BINLOG EVENTS": _show_parser("BINLOG EVENTS"),
-212            "CHARACTER SET": _show_parser("CHARACTER SET"),
-213            "CHARSET": _show_parser("CHARACTER SET"),
-214            "COLLATION": _show_parser("COLLATION"),
-215            "FULL COLUMNS": _show_parser("COLUMNS", target="FROM", full=True),
-216            "COLUMNS": _show_parser("COLUMNS", target="FROM"),
-217            "CREATE DATABASE": _show_parser("CREATE DATABASE", target=True),
-218            "CREATE EVENT": _show_parser("CREATE EVENT", target=True),
-219            "CREATE FUNCTION": _show_parser("CREATE FUNCTION", target=True),
-220            "CREATE PROCEDURE": _show_parser("CREATE PROCEDURE", target=True),
-221            "CREATE TABLE": _show_parser("CREATE TABLE", target=True),
-222            "CREATE TRIGGER": _show_parser("CREATE TRIGGER", target=True),
-223            "CREATE VIEW": _show_parser("CREATE VIEW", target=True),
-224            "DATABASES": _show_parser("DATABASES"),
-225            "ENGINE": _show_parser("ENGINE", target=True),
-226            "STORAGE ENGINES": _show_parser("ENGINES"),
-227            "ENGINES": _show_parser("ENGINES"),
-228            "ERRORS": _show_parser("ERRORS"),
-229            "EVENTS": _show_parser("EVENTS"),
-230            "FUNCTION CODE": _show_parser("FUNCTION CODE", target=True),
-231            "FUNCTION STATUS": _show_parser("FUNCTION STATUS"),
-232            "GRANTS": _show_parser("GRANTS", target="FOR"),
-233            "INDEX": _show_parser("INDEX", target="FROM"),
-234            "MASTER STATUS": _show_parser("MASTER STATUS"),
-235            "OPEN TABLES": _show_parser("OPEN TABLES"),
-236            "PLUGINS": _show_parser("PLUGINS"),
-237            "PROCEDURE CODE": _show_parser("PROCEDURE CODE", target=True),
-238            "PROCEDURE STATUS": _show_parser("PROCEDURE STATUS"),
-239            "PRIVILEGES": _show_parser("PRIVILEGES"),
-240            "FULL PROCESSLIST": _show_parser("PROCESSLIST", full=True),
-241            "PROCESSLIST": _show_parser("PROCESSLIST"),
-242            "PROFILE": _show_parser("PROFILE"),
-243            "PROFILES": _show_parser("PROFILES"),
-244            "RELAYLOG EVENTS": _show_parser("RELAYLOG EVENTS"),
-245            "REPLICAS": _show_parser("REPLICAS"),
-246            "SLAVE HOSTS": _show_parser("REPLICAS"),
-247            "REPLICA STATUS": _show_parser("REPLICA STATUS"),
-248            "SLAVE STATUS": _show_parser("REPLICA STATUS"),
-249            "GLOBAL STATUS": _show_parser("STATUS", global_=True),
-250            "SESSION STATUS": _show_parser("STATUS"),
-251            "STATUS": _show_parser("STATUS"),
-252            "TABLE STATUS": _show_parser("TABLE STATUS"),
-253            "FULL TABLES": _show_parser("TABLES", full=True),
-254            "TABLES": _show_parser("TABLES"),
-255            "TRIGGERS": _show_parser("TRIGGERS"),
-256            "GLOBAL VARIABLES": _show_parser("VARIABLES", global_=True),
-257            "SESSION VARIABLES": _show_parser("VARIABLES"),
-258            "VARIABLES": _show_parser("VARIABLES"),
-259            "WARNINGS": _show_parser("WARNINGS"),
-260        }
-261
-262        SET_PARSERS = {
-263            **parser.Parser.SET_PARSERS,
-264            "PERSIST": lambda self: self._parse_set_item_assignment("PERSIST"),
-265            "PERSIST_ONLY": lambda self: self._parse_set_item_assignment("PERSIST_ONLY"),
-266            "CHARACTER SET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
-267            "CHARSET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
-268            "NAMES": lambda self: self._parse_set_item_names(),
-269        }
-270
-271        PROFILE_TYPES = {
-272            "ALL",
-273            "BLOCK IO",
-274            "CONTEXT SWITCHES",
-275            "CPU",
-276            "IPC",
-277            "MEMORY",
-278            "PAGE FAULTS",
-279            "SOURCE",
-280            "SWAPS",
-281        }
-282
-283        LOG_DEFAULTS_TO_LN = True
+178        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
+179
+180    class Parser(parser.Parser):
+181        FUNC_TOKENS = {*parser.Parser.FUNC_TOKENS, TokenType.SCHEMA, TokenType.DATABASE}
+182
+183        FUNCTIONS = {
+184            **parser.Parser.FUNCTIONS,
+185            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
+186            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "mysql"),
+187            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
+188            "INSTR": lambda args: exp.StrPosition(substr=seq_get(args, 1), this=seq_get(args, 0)),
+189            "LEFT": lambda args: exp.Substring(
+190                this=seq_get(args, 0), start=exp.Literal.number(1), length=seq_get(args, 1)
+191            ),
+192            "LOCATE": locate_to_strposition,
+193            "STR_TO_DATE": _str_to_date,
+194        }
+195
+196        FUNCTION_PARSERS = {
+197            **parser.Parser.FUNCTION_PARSERS,
+198            "GROUP_CONCAT": lambda self: self.expression(
+199                exp.GroupConcat,
+200                this=self._parse_lambda(),
+201                separator=self._match(TokenType.SEPARATOR) and self._parse_field(),
+202            ),
+203        }
+204
+205        STATEMENT_PARSERS = {
+206            **parser.Parser.STATEMENT_PARSERS,
+207            TokenType.SHOW: lambda self: self._parse_show(),
+208        }
+209
+210        SHOW_PARSERS = {
+211            "BINARY LOGS": _show_parser("BINARY LOGS"),
+212            "MASTER LOGS": _show_parser("BINARY LOGS"),
+213            "BINLOG EVENTS": _show_parser("BINLOG EVENTS"),
+214            "CHARACTER SET": _show_parser("CHARACTER SET"),
+215            "CHARSET": _show_parser("CHARACTER SET"),
+216            "COLLATION": _show_parser("COLLATION"),
+217            "FULL COLUMNS": _show_parser("COLUMNS", target="FROM", full=True),
+218            "COLUMNS": _show_parser("COLUMNS", target="FROM"),
+219            "CREATE DATABASE": _show_parser("CREATE DATABASE", target=True),
+220            "CREATE EVENT": _show_parser("CREATE EVENT", target=True),
+221            "CREATE FUNCTION": _show_parser("CREATE FUNCTION", target=True),
+222            "CREATE PROCEDURE": _show_parser("CREATE PROCEDURE", target=True),
+223            "CREATE TABLE": _show_parser("CREATE TABLE", target=True),
+224            "CREATE TRIGGER": _show_parser("CREATE TRIGGER", target=True),
+225            "CREATE VIEW": _show_parser("CREATE VIEW", target=True),
+226            "DATABASES": _show_parser("DATABASES"),
+227            "ENGINE": _show_parser("ENGINE", target=True),
+228            "STORAGE ENGINES": _show_parser("ENGINES"),
+229            "ENGINES": _show_parser("ENGINES"),
+230            "ERRORS": _show_parser("ERRORS"),
+231            "EVENTS": _show_parser("EVENTS"),
+232            "FUNCTION CODE": _show_parser("FUNCTION CODE", target=True),
+233            "FUNCTION STATUS": _show_parser("FUNCTION STATUS"),
+234            "GRANTS": _show_parser("GRANTS", target="FOR"),
+235            "INDEX": _show_parser("INDEX", target="FROM"),
+236            "MASTER STATUS": _show_parser("MASTER STATUS"),
+237            "OPEN TABLES": _show_parser("OPEN TABLES"),
+238            "PLUGINS": _show_parser("PLUGINS"),
+239            "PROCEDURE CODE": _show_parser("PROCEDURE CODE", target=True),
+240            "PROCEDURE STATUS": _show_parser("PROCEDURE STATUS"),
+241            "PRIVILEGES": _show_parser("PRIVILEGES"),
+242            "FULL PROCESSLIST": _show_parser("PROCESSLIST", full=True),
+243            "PROCESSLIST": _show_parser("PROCESSLIST"),
+244            "PROFILE": _show_parser("PROFILE"),
+245            "PROFILES": _show_parser("PROFILES"),
+246            "RELAYLOG EVENTS": _show_parser("RELAYLOG EVENTS"),
+247            "REPLICAS": _show_parser("REPLICAS"),
+248            "SLAVE HOSTS": _show_parser("REPLICAS"),
+249            "REPLICA STATUS": _show_parser("REPLICA STATUS"),
+250            "SLAVE STATUS": _show_parser("REPLICA STATUS"),
+251            "GLOBAL STATUS": _show_parser("STATUS", global_=True),
+252            "SESSION STATUS": _show_parser("STATUS"),
+253            "STATUS": _show_parser("STATUS"),
+254            "TABLE STATUS": _show_parser("TABLE STATUS"),
+255            "FULL TABLES": _show_parser("TABLES", full=True),
+256            "TABLES": _show_parser("TABLES"),
+257            "TRIGGERS": _show_parser("TRIGGERS"),
+258            "GLOBAL VARIABLES": _show_parser("VARIABLES", global_=True),
+259            "SESSION VARIABLES": _show_parser("VARIABLES"),
+260            "VARIABLES": _show_parser("VARIABLES"),
+261            "WARNINGS": _show_parser("WARNINGS"),
+262        }
+263
+264        SET_PARSERS = {
+265            **parser.Parser.SET_PARSERS,
+266            "PERSIST": lambda self: self._parse_set_item_assignment("PERSIST"),
+267            "PERSIST_ONLY": lambda self: self._parse_set_item_assignment("PERSIST_ONLY"),
+268            "CHARACTER SET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
+269            "CHARSET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
+270            "NAMES": lambda self: self._parse_set_item_names(),
+271        }
+272
+273        PROFILE_TYPES = {
+274            "ALL",
+275            "BLOCK IO",
+276            "CONTEXT SWITCHES",
+277            "CPU",
+278            "IPC",
+279            "MEMORY",
+280            "PAGE FAULTS",
+281            "SOURCE",
+282            "SWAPS",
+283        }
 284
-285        def _parse_show_mysql(self, this, target=False, full=None, global_=None):
-286            if target:
-287                if isinstance(target, str):
-288                    self._match_text_seq(target)
-289                target_id = self._parse_id_var()
-290            else:
-291                target_id = None
-292
-293            log = self._parse_string() if self._match_text_seq("IN") else None
-294
-295            if this in {"BINLOG EVENTS", "RELAYLOG EVENTS"}:
-296                position = self._parse_number() if self._match_text_seq("FROM") else None
-297                db = None
+285        LOG_DEFAULTS_TO_LN = True
+286
+287        def _parse_show_mysql(
+288            self,
+289            this: str,
+290            target: bool | str = False,
+291            full: t.Optional[bool] = None,
+292            global_: t.Optional[bool] = None,
+293        ) -> exp.Show:
+294            if target:
+295                if isinstance(target, str):
+296                    self._match_text_seq(target)
+297                target_id = self._parse_id_var()
 298            else:
-299                position = None
-300                db = None
-301
-302                if self._match(TokenType.FROM):
-303                    db = self._parse_id_var()
-304                elif self._match(TokenType.DOT):
-305                    db = target_id
-306                    target_id = self._parse_id_var()
-307
-308            channel = self._parse_id_var() if self._match_text_seq("FOR", "CHANNEL") else None
+299                target_id = None
+300
+301            log = self._parse_string() if self._match_text_seq("IN") else None
+302
+303            if this in {"BINLOG EVENTS", "RELAYLOG EVENTS"}:
+304                position = self._parse_number() if self._match_text_seq("FROM") else None
+305                db = None
+306            else:
+307                position = None
+308                db = None
 309
-310            like = self._parse_string() if self._match_text_seq("LIKE") else None
-311            where = self._parse_where()
-312
-313            if this == "PROFILE":
-314                types = self._parse_csv(lambda: self._parse_var_from_options(self.PROFILE_TYPES))
-315                query = self._parse_number() if self._match_text_seq("FOR", "QUERY") else None
-316                offset = self._parse_number() if self._match_text_seq("OFFSET") else None
-317                limit = self._parse_number() if self._match_text_seq("LIMIT") else None
-318            else:
-319                types, query = None, None
-320                offset, limit = self._parse_oldstyle_limit()
-321
-322            mutex = True if self._match_text_seq("MUTEX") else None
-323            mutex = False if self._match_text_seq("STATUS") else mutex
-324
-325            return self.expression(
-326                exp.Show,
-327                this=this,
-328                target=target_id,
-329                full=full,
-330                log=log,
-331                position=position,
-332                db=db,
-333                channel=channel,
-334                like=like,
-335                where=where,
-336                types=types,
-337                query=query,
-338                offset=offset,
-339                limit=limit,
-340                mutex=mutex,
-341                **{"global": global_},
-342            )
-343
-344        def _parse_oldstyle_limit(self):
-345            limit = None
-346            offset = None
-347            if self._match_text_seq("LIMIT"):
-348                parts = self._parse_csv(self._parse_number)
-349                if len(parts) == 1:
-350                    limit = parts[0]
-351                elif len(parts) == 2:
-352                    limit = parts[1]
-353                    offset = parts[0]
-354            return offset, limit
-355
-356        def _parse_set_item_charset(self, kind):
-357            this = self._parse_string() or self._parse_id_var()
-358
-359            return self.expression(
-360                exp.SetItem,
-361                this=this,
-362                kind=kind,
-363            )
+310                if self._match(TokenType.FROM):
+311                    db = self._parse_id_var()
+312                elif self._match(TokenType.DOT):
+313                    db = target_id
+314                    target_id = self._parse_id_var()
+315
+316            channel = self._parse_id_var() if self._match_text_seq("FOR", "CHANNEL") else None
+317
+318            like = self._parse_string() if self._match_text_seq("LIKE") else None
+319            where = self._parse_where()
+320
+321            if this == "PROFILE":
+322                types = self._parse_csv(lambda: self._parse_var_from_options(self.PROFILE_TYPES))
+323                query = self._parse_number() if self._match_text_seq("FOR", "QUERY") else None
+324                offset = self._parse_number() if self._match_text_seq("OFFSET") else None
+325                limit = self._parse_number() if self._match_text_seq("LIMIT") else None
+326            else:
+327                types, query = None, None
+328                offset, limit = self._parse_oldstyle_limit()
+329
+330            mutex = True if self._match_text_seq("MUTEX") else None
+331            mutex = False if self._match_text_seq("STATUS") else mutex
+332
+333            return self.expression(
+334                exp.Show,
+335                this=this,
+336                target=target_id,
+337                full=full,
+338                log=log,
+339                position=position,
+340                db=db,
+341                channel=channel,
+342                like=like,
+343                where=where,
+344                types=types,
+345                query=query,
+346                offset=offset,
+347                limit=limit,
+348                mutex=mutex,
+349                **{"global": global_},  # type: ignore
+350            )
+351
+352        def _parse_oldstyle_limit(
+353            self,
+354        ) -> t.Tuple[t.Optional[exp.Expression], t.Optional[exp.Expression]]:
+355            limit = None
+356            offset = None
+357            if self._match_text_seq("LIMIT"):
+358                parts = self._parse_csv(self._parse_number)
+359                if len(parts) == 1:
+360                    limit = parts[0]
+361                elif len(parts) == 2:
+362                    limit = parts[1]
+363                    offset = parts[0]
 364
-365        def _parse_set_item_names(self):
-366            charset = self._parse_string() or self._parse_id_var()
-367            if self._match_text_seq("COLLATE"):
-368                collate = self._parse_string() or self._parse_id_var()
-369            else:
-370                collate = None
-371            return self.expression(
-372                exp.SetItem,
-373                this=charset,
-374                collate=collate,
-375                kind="NAMES",
-376            )
+365            return offset, limit
+366
+367        def _parse_set_item_charset(self, kind: str) -> exp.Expression:
+368            this = self._parse_string() or self._parse_id_var()
+369            return self.expression(exp.SetItem, this=this, kind=kind)
+370
+371        def _parse_set_item_names(self) -> exp.Expression:
+372            charset = self._parse_string() or self._parse_id_var()
+373            if self._match_text_seq("COLLATE"):
+374                collate = self._parse_string() or self._parse_id_var()
+375            else:
+376                collate = None
 377
-378    class Generator(generator.Generator):
-379        LOCKING_READS_SUPPORTED = True
-380        NULL_ORDERING_SUPPORTED = False
-381        JOIN_HINTS = False
-382        TABLE_HINTS = False
-383
-384        TRANSFORMS = {
-385            **generator.Generator.TRANSFORMS,
-386            exp.CurrentDate: no_paren_current_date_sql,
-387            exp.DateDiff: lambda self, e: self.func("DATEDIFF", e.this, e.expression),
-388            exp.DateAdd: _date_add_sql("ADD"),
-389            exp.DateStrToDate: datestrtodate_sql,
-390            exp.DateSub: _date_add_sql("SUB"),
-391            exp.DateTrunc: _date_trunc_sql,
-392            exp.DayOfMonth: rename_func("DAYOFMONTH"),
-393            exp.DayOfWeek: rename_func("DAYOFWEEK"),
-394            exp.DayOfYear: rename_func("DAYOFYEAR"),
-395            exp.GroupConcat: lambda self, e: f"""GROUP_CONCAT({self.sql(e, "this")} SEPARATOR {self.sql(e, "separator") or "','"})""",
-396            exp.ILike: no_ilike_sql,
-397            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-398            exp.Max: max_or_greatest,
-399            exp.Min: min_or_least,
-400            exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"),
-401            exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")),
-402            exp.Pivot: no_pivot_sql,
-403            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-404            exp.StrPosition: strposition_to_locate_sql,
-405            exp.StrToDate: _str_to_date_sql,
-406            exp.StrToTime: _str_to_date_sql,
-407            exp.TableSample: no_tablesample_sql,
-408            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
-409            exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)),
-410            exp.Trim: _trim_sql,
-411            exp.TryCast: no_trycast_sql,
-412            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
-413        }
-414
-415        TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy()
-416        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT)
-417        TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT)
-418        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB)
-419        TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB)
-420
-421        PROPERTIES_LOCATION = {
-422            **generator.Generator.PROPERTIES_LOCATION,
-423            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
-424            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-425        }
-426
-427        LIMIT_FETCH = "LIMIT"
-428
-429        def show_sql(self, expression: exp.Show) -> str:
-430            this = f" {expression.name}"
-431            full = " FULL" if expression.args.get("full") else ""
-432            global_ = " GLOBAL" if expression.args.get("global") else ""
+378            return self.expression(
+379                exp.SetItem,
+380                this=charset,
+381                collate=collate,
+382                kind="NAMES",
+383            )
+384
+385    class Generator(generator.Generator):
+386        LOCKING_READS_SUPPORTED = True
+387        NULL_ORDERING_SUPPORTED = False
+388        JOIN_HINTS = False
+389        TABLE_HINTS = False
+390
+391        TRANSFORMS = {
+392            **generator.Generator.TRANSFORMS,
+393            exp.CurrentDate: no_paren_current_date_sql,
+394            exp.DateDiff: lambda self, e: self.func("DATEDIFF", e.this, e.expression),
+395            exp.DateAdd: _date_add_sql("ADD"),
+396            exp.DateStrToDate: datestrtodate_sql,
+397            exp.DateSub: _date_add_sql("SUB"),
+398            exp.DateTrunc: _date_trunc_sql,
+399            exp.DayOfMonth: rename_func("DAYOFMONTH"),
+400            exp.DayOfWeek: rename_func("DAYOFWEEK"),
+401            exp.DayOfYear: rename_func("DAYOFYEAR"),
+402            exp.GroupConcat: lambda self, e: f"""GROUP_CONCAT({self.sql(e, "this")} SEPARATOR {self.sql(e, "separator") or "','"})""",
+403            exp.ILike: no_ilike_sql,
+404            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+405            exp.Max: max_or_greatest,
+406            exp.Min: min_or_least,
+407            exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"),
+408            exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")),
+409            exp.Pivot: no_pivot_sql,
+410            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+411            exp.StrPosition: strposition_to_locate_sql,
+412            exp.StrToDate: _str_to_date_sql,
+413            exp.StrToTime: _str_to_date_sql,
+414            exp.TableSample: no_tablesample_sql,
+415            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
+416            exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)),
+417            exp.Trim: _trim_sql,
+418            exp.TryCast: no_trycast_sql,
+419            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
+420        }
+421
+422        TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy()
+423        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT)
+424        TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT)
+425        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB)
+426        TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB)
+427
+428        PROPERTIES_LOCATION = {
+429            **generator.Generator.PROPERTIES_LOCATION,
+430            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
+431            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+432        }
 433
-434            target = self.sql(expression, "target")
-435            target = f" {target}" if target else ""
-436            if expression.name in {"COLUMNS", "INDEX"}:
-437                target = f" FROM{target}"
-438            elif expression.name == "GRANTS":
-439                target = f" FOR{target}"
+434        LIMIT_FETCH = "LIMIT"
+435
+436        def show_sql(self, expression: exp.Show) -> str:
+437            this = f" {expression.name}"
+438            full = " FULL" if expression.args.get("full") else ""
+439            global_ = " GLOBAL" if expression.args.get("global") else ""
 440
-441            db = self._prefixed_sql("FROM", expression, "db")
-442
-443            like = self._prefixed_sql("LIKE", expression, "like")
-444            where = self.sql(expression, "where")
-445
-446            types = self.expressions(expression, key="types")
-447            types = f" {types}" if types else types
-448            query = self._prefixed_sql("FOR QUERY", expression, "query")
+441            target = self.sql(expression, "target")
+442            target = f" {target}" if target else ""
+443            if expression.name in {"COLUMNS", "INDEX"}:
+444                target = f" FROM{target}"
+445            elif expression.name == "GRANTS":
+446                target = f" FOR{target}"
+447
+448            db = self._prefixed_sql("FROM", expression, "db")
 449
-450            if expression.name == "PROFILE":
-451                offset = self._prefixed_sql("OFFSET", expression, "offset")
-452                limit = self._prefixed_sql("LIMIT", expression, "limit")
-453            else:
-454                offset = ""
-455                limit = self._oldstyle_limit_sql(expression)
+450            like = self._prefixed_sql("LIKE", expression, "like")
+451            where = self.sql(expression, "where")
+452
+453            types = self.expressions(expression, key="types")
+454            types = f" {types}" if types else types
+455            query = self._prefixed_sql("FOR QUERY", expression, "query")
 456
-457            log = self._prefixed_sql("IN", expression, "log")
-458            position = self._prefixed_sql("FROM", expression, "position")
-459
-460            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
-461
-462            if expression.name == "ENGINE":
-463                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
-464            else:
-465                mutex_or_status = ""
+457            if expression.name == "PROFILE":
+458                offset = self._prefixed_sql("OFFSET", expression, "offset")
+459                limit = self._prefixed_sql("LIMIT", expression, "limit")
+460            else:
+461                offset = ""
+462                limit = self._oldstyle_limit_sql(expression)
+463
+464            log = self._prefixed_sql("IN", expression, "log")
+465            position = self._prefixed_sql("FROM", expression, "position")
 466
-467            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
+467            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
 468
-469        def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str:
-470            sql = self.sql(expression, arg)
-471            if not sql:
-472                return ""
-473            return f" {prefix} {sql}"
-474
-475        def _oldstyle_limit_sql(self, expression: exp.Show) -> str:
-476            limit = self.sql(expression, "limit")
-477            offset = self.sql(expression, "offset")
-478            if limit:
-479                limit_offset = f"{offset}, {limit}" if offset else limit
-480                return f" LIMIT {limit_offset}"
-481            return ""
+469            if expression.name == "ENGINE":
+470                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
+471            else:
+472                mutex_or_status = ""
+473
+474            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
+475
+476        def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str:
+477            sql = self.sql(expression, arg)
+478            if not sql:
+479                return ""
+480            return f" {prefix} {sql}"
+481
+482        def _oldstyle_limit_sql(self, expression: exp.Show) -> str:
+483            limit = self.sql(expression, "limit")
+484            offset = self.sql(expression, "offset")
+485            if limit:
+486                limit_offset = f"{offset}, {limit}" if offset else limit
+487                return f" LIMIT {limit_offset}"
+488            return ""
 
    
 
 
@@ -576,394 +583,399 @@ 
    
 
     
    
     
-            
     95class MySQL(Dialect):
- 96    time_format = "'%Y-%m-%d %T'"
- 97
- 98    # https://prestodb.io/docs/current/functions/datetime.html#mysql-date-functions
- 99    time_mapping = {
-100        "%M": "%B",
-101        "%c": "%-m",
-102        "%e": "%-d",
-103        "%h": "%I",
-104        "%i": "%M",
-105        "%s": "%S",
-106        "%S": "%S",
-107        "%u": "%W",
-108        "%k": "%-H",
-109        "%l": "%-I",
-110        "%T": "%H:%M:%S",
-111        "%W": "%a",
-112    }
-113
-114    class Tokenizer(tokens.Tokenizer):
-115        QUOTES = ["'", '"']
-116        COMMENTS = ["--", "#", ("/*", "*/")]
-117        IDENTIFIERS = ["`"]
-118        STRING_ESCAPES = ["'", "\\"]
-119        BIT_STRINGS = [("b'", "'"), ("B'", "'"), ("0b", "")]
-120        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", "")]
-121
-122        KEYWORDS = {
-123            **tokens.Tokenizer.KEYWORDS,
-124            "CHARSET": TokenType.CHARACTER_SET,
-125            "LONGBLOB": TokenType.LONGBLOB,
-126            "LONGTEXT": TokenType.LONGTEXT,
-127            "MEDIUMBLOB": TokenType.MEDIUMBLOB,
-128            "MEDIUMTEXT": TokenType.MEDIUMTEXT,
-129            "SEPARATOR": TokenType.SEPARATOR,
-130            "START": TokenType.BEGIN,
-131            "_ARMSCII8": TokenType.INTRODUCER,
-132            "_ASCII": TokenType.INTRODUCER,
-133            "_BIG5": TokenType.INTRODUCER,
-134            "_BINARY": TokenType.INTRODUCER,
-135            "_CP1250": TokenType.INTRODUCER,
-136            "_CP1251": TokenType.INTRODUCER,
-137            "_CP1256": TokenType.INTRODUCER,
-138            "_CP1257": TokenType.INTRODUCER,
-139            "_CP850": TokenType.INTRODUCER,
-140            "_CP852": TokenType.INTRODUCER,
-141            "_CP866": TokenType.INTRODUCER,
-142            "_CP932": TokenType.INTRODUCER,
-143            "_DEC8": TokenType.INTRODUCER,
-144            "_EUCJPMS": TokenType.INTRODUCER,
-145            "_EUCKR": TokenType.INTRODUCER,
-146            "_GB18030": TokenType.INTRODUCER,
-147            "_GB2312": TokenType.INTRODUCER,
-148            "_GBK": TokenType.INTRODUCER,
-149            "_GEOSTD8": TokenType.INTRODUCER,
-150            "_GREEK": TokenType.INTRODUCER,
-151            "_HEBREW": TokenType.INTRODUCER,
-152            "_HP8": TokenType.INTRODUCER,
-153            "_KEYBCS2": TokenType.INTRODUCER,
-154            "_KOI8R": TokenType.INTRODUCER,
-155            "_KOI8U": TokenType.INTRODUCER,
-156            "_LATIN1": TokenType.INTRODUCER,
-157            "_LATIN2": TokenType.INTRODUCER,
-158            "_LATIN5": TokenType.INTRODUCER,
-159            "_LATIN7": TokenType.INTRODUCER,
-160            "_MACCE": TokenType.INTRODUCER,
-161            "_MACROMAN": TokenType.INTRODUCER,
-162            "_SJIS": TokenType.INTRODUCER,
-163            "_SWE7": TokenType.INTRODUCER,
-164            "_TIS620": TokenType.INTRODUCER,
-165            "_UCS2": TokenType.INTRODUCER,
-166            "_UJIS": TokenType.INTRODUCER,
-167            # https://dev.mysql.com/doc/refman/8.0/en/string-literals.html
-168            "_UTF8": TokenType.INTRODUCER,
-169            "_UTF16": TokenType.INTRODUCER,
-170            "_UTF16LE": TokenType.INTRODUCER,
-171            "_UTF32": TokenType.INTRODUCER,
-172            "_UTF8MB3": TokenType.INTRODUCER,
-173            "_UTF8MB4": TokenType.INTRODUCER,
-174            "@@": TokenType.SESSION_PARAMETER,
-175        }
-176
-177        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
+            
     97class MySQL(Dialect):
+ 98    time_format = "'%Y-%m-%d %T'"
+ 99
+100    # https://prestodb.io/docs/current/functions/datetime.html#mysql-date-functions
+101    time_mapping = {
+102        "%M": "%B",
+103        "%c": "%-m",
+104        "%e": "%-d",
+105        "%h": "%I",
+106        "%i": "%M",
+107        "%s": "%S",
+108        "%S": "%S",
+109        "%u": "%W",
+110        "%k": "%-H",
+111        "%l": "%-I",
+112        "%T": "%H:%M:%S",
+113        "%W": "%a",
+114    }
+115
+116    class Tokenizer(tokens.Tokenizer):
+117        QUOTES = ["'", '"']
+118        COMMENTS = ["--", "#", ("/*", "*/")]
+119        IDENTIFIERS = ["`"]
+120        STRING_ESCAPES = ["'", "\\"]
+121        BIT_STRINGS = [("b'", "'"), ("B'", "'"), ("0b", "")]
+122        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", "")]
+123
+124        KEYWORDS = {
+125            **tokens.Tokenizer.KEYWORDS,
+126            "CHARSET": TokenType.CHARACTER_SET,
+127            "LONGBLOB": TokenType.LONGBLOB,
+128            "LONGTEXT": TokenType.LONGTEXT,
+129            "MEDIUMBLOB": TokenType.MEDIUMBLOB,
+130            "MEDIUMTEXT": TokenType.MEDIUMTEXT,
+131            "SEPARATOR": TokenType.SEPARATOR,
+132            "START": TokenType.BEGIN,
+133            "_ARMSCII8": TokenType.INTRODUCER,
+134            "_ASCII": TokenType.INTRODUCER,
+135            "_BIG5": TokenType.INTRODUCER,
+136            "_BINARY": TokenType.INTRODUCER,
+137            "_CP1250": TokenType.INTRODUCER,
+138            "_CP1251": TokenType.INTRODUCER,
+139            "_CP1256": TokenType.INTRODUCER,
+140            "_CP1257": TokenType.INTRODUCER,
+141            "_CP850": TokenType.INTRODUCER,
+142            "_CP852": TokenType.INTRODUCER,
+143            "_CP866": TokenType.INTRODUCER,
+144            "_CP932": TokenType.INTRODUCER,
+145            "_DEC8": TokenType.INTRODUCER,
+146            "_EUCJPMS": TokenType.INTRODUCER,
+147            "_EUCKR": TokenType.INTRODUCER,
+148            "_GB18030": TokenType.INTRODUCER,
+149            "_GB2312": TokenType.INTRODUCER,
+150            "_GBK": TokenType.INTRODUCER,
+151            "_GEOSTD8": TokenType.INTRODUCER,
+152            "_GREEK": TokenType.INTRODUCER,
+153            "_HEBREW": TokenType.INTRODUCER,
+154            "_HP8": TokenType.INTRODUCER,
+155            "_KEYBCS2": TokenType.INTRODUCER,
+156            "_KOI8R": TokenType.INTRODUCER,
+157            "_KOI8U": TokenType.INTRODUCER,
+158            "_LATIN1": TokenType.INTRODUCER,
+159            "_LATIN2": TokenType.INTRODUCER,
+160            "_LATIN5": TokenType.INTRODUCER,
+161            "_LATIN7": TokenType.INTRODUCER,
+162            "_MACCE": TokenType.INTRODUCER,
+163            "_MACROMAN": TokenType.INTRODUCER,
+164            "_SJIS": TokenType.INTRODUCER,
+165            "_SWE7": TokenType.INTRODUCER,
+166            "_TIS620": TokenType.INTRODUCER,
+167            "_UCS2": TokenType.INTRODUCER,
+168            "_UJIS": TokenType.INTRODUCER,
+169            # https://dev.mysql.com/doc/refman/8.0/en/string-literals.html
+170            "_UTF8": TokenType.INTRODUCER,
+171            "_UTF16": TokenType.INTRODUCER,
+172            "_UTF16LE": TokenType.INTRODUCER,
+173            "_UTF32": TokenType.INTRODUCER,
+174            "_UTF8MB3": TokenType.INTRODUCER,
+175            "_UTF8MB4": TokenType.INTRODUCER,
+176            "@@": TokenType.SESSION_PARAMETER,
+177        }
 178
-179    class Parser(parser.Parser):
-180        FUNC_TOKENS = {*parser.Parser.FUNC_TOKENS, TokenType.SCHEMA, TokenType.DATABASE}
-181
-182        FUNCTIONS = {
-183            **parser.Parser.FUNCTIONS,
-184            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
-185            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "mysql"),
-186            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
-187            "INSTR": lambda args: exp.StrPosition(substr=seq_get(args, 1), this=seq_get(args, 0)),
-188            "LEFT": lambda args: exp.Substring(
-189                this=seq_get(args, 0), start=exp.Literal.number(1), length=seq_get(args, 1)
-190            ),
-191            "LOCATE": locate_to_strposition,
-192            "STR_TO_DATE": _str_to_date,
-193        }
-194
-195        FUNCTION_PARSERS = {
-196            **parser.Parser.FUNCTION_PARSERS,
-197            "GROUP_CONCAT": lambda self: self.expression(
-198                exp.GroupConcat,
-199                this=self._parse_lambda(),
-200                separator=self._match(TokenType.SEPARATOR) and self._parse_field(),
-201            ),
-202        }
-203
-204        STATEMENT_PARSERS = {
-205            **parser.Parser.STATEMENT_PARSERS,
-206            TokenType.SHOW: lambda self: self._parse_show(),
-207        }
-208
-209        SHOW_PARSERS = {
-210            "BINARY LOGS": _show_parser("BINARY LOGS"),
-211            "MASTER LOGS": _show_parser("BINARY LOGS"),
-212            "BINLOG EVENTS": _show_parser("BINLOG EVENTS"),
-213            "CHARACTER SET": _show_parser("CHARACTER SET"),
-214            "CHARSET": _show_parser("CHARACTER SET"),
-215            "COLLATION": _show_parser("COLLATION"),
-216            "FULL COLUMNS": _show_parser("COLUMNS", target="FROM", full=True),
-217            "COLUMNS": _show_parser("COLUMNS", target="FROM"),
-218            "CREATE DATABASE": _show_parser("CREATE DATABASE", target=True),
-219            "CREATE EVENT": _show_parser("CREATE EVENT", target=True),
-220            "CREATE FUNCTION": _show_parser("CREATE FUNCTION", target=True),
-221            "CREATE PROCEDURE": _show_parser("CREATE PROCEDURE", target=True),
-222            "CREATE TABLE": _show_parser("CREATE TABLE", target=True),
-223            "CREATE TRIGGER": _show_parser("CREATE TRIGGER", target=True),
-224            "CREATE VIEW": _show_parser("CREATE VIEW", target=True),
-225            "DATABASES": _show_parser("DATABASES"),
-226            "ENGINE": _show_parser("ENGINE", target=True),
-227            "STORAGE ENGINES": _show_parser("ENGINES"),
-228            "ENGINES": _show_parser("ENGINES"),
-229            "ERRORS": _show_parser("ERRORS"),
-230            "EVENTS": _show_parser("EVENTS"),
-231            "FUNCTION CODE": _show_parser("FUNCTION CODE", target=True),
-232            "FUNCTION STATUS": _show_parser("FUNCTION STATUS"),
-233            "GRANTS": _show_parser("GRANTS", target="FOR"),
-234            "INDEX": _show_parser("INDEX", target="FROM"),
-235            "MASTER STATUS": _show_parser("MASTER STATUS"),
-236            "OPEN TABLES": _show_parser("OPEN TABLES"),
-237            "PLUGINS": _show_parser("PLUGINS"),
-238            "PROCEDURE CODE": _show_parser("PROCEDURE CODE", target=True),
-239            "PROCEDURE STATUS": _show_parser("PROCEDURE STATUS"),
-240            "PRIVILEGES": _show_parser("PRIVILEGES"),
-241            "FULL PROCESSLIST": _show_parser("PROCESSLIST", full=True),
-242            "PROCESSLIST": _show_parser("PROCESSLIST"),
-243            "PROFILE": _show_parser("PROFILE"),
-244            "PROFILES": _show_parser("PROFILES"),
-245            "RELAYLOG EVENTS": _show_parser("RELAYLOG EVENTS"),
-246            "REPLICAS": _show_parser("REPLICAS"),
-247            "SLAVE HOSTS": _show_parser("REPLICAS"),
-248            "REPLICA STATUS": _show_parser("REPLICA STATUS"),
-249            "SLAVE STATUS": _show_parser("REPLICA STATUS"),
-250            "GLOBAL STATUS": _show_parser("STATUS", global_=True),
-251            "SESSION STATUS": _show_parser("STATUS"),
-252            "STATUS": _show_parser("STATUS"),
-253            "TABLE STATUS": _show_parser("TABLE STATUS"),
-254            "FULL TABLES": _show_parser("TABLES", full=True),
-255            "TABLES": _show_parser("TABLES"),
-256            "TRIGGERS": _show_parser("TRIGGERS"),
-257            "GLOBAL VARIABLES": _show_parser("VARIABLES", global_=True),
-258            "SESSION VARIABLES": _show_parser("VARIABLES"),
-259            "VARIABLES": _show_parser("VARIABLES"),
-260            "WARNINGS": _show_parser("WARNINGS"),
-261        }
-262
-263        SET_PARSERS = {
-264            **parser.Parser.SET_PARSERS,
-265            "PERSIST": lambda self: self._parse_set_item_assignment("PERSIST"),
-266            "PERSIST_ONLY": lambda self: self._parse_set_item_assignment("PERSIST_ONLY"),
-267            "CHARACTER SET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
-268            "CHARSET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
-269            "NAMES": lambda self: self._parse_set_item_names(),
-270        }
-271
-272        PROFILE_TYPES = {
-273            "ALL",
-274            "BLOCK IO",
-275            "CONTEXT SWITCHES",
-276            "CPU",
-277            "IPC",
-278            "MEMORY",
-279            "PAGE FAULTS",
-280            "SOURCE",
-281            "SWAPS",
-282        }
-283
-284        LOG_DEFAULTS_TO_LN = True
+179        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
+180
+181    class Parser(parser.Parser):
+182        FUNC_TOKENS = {*parser.Parser.FUNC_TOKENS, TokenType.SCHEMA, TokenType.DATABASE}
+183
+184        FUNCTIONS = {
+185            **parser.Parser.FUNCTIONS,
+186            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
+187            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "mysql"),
+188            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
+189            "INSTR": lambda args: exp.StrPosition(substr=seq_get(args, 1), this=seq_get(args, 0)),
+190            "LEFT": lambda args: exp.Substring(
+191                this=seq_get(args, 0), start=exp.Literal.number(1), length=seq_get(args, 1)
+192            ),
+193            "LOCATE": locate_to_strposition,
+194            "STR_TO_DATE": _str_to_date,
+195        }
+196
+197        FUNCTION_PARSERS = {
+198            **parser.Parser.FUNCTION_PARSERS,
+199            "GROUP_CONCAT": lambda self: self.expression(
+200                exp.GroupConcat,
+201                this=self._parse_lambda(),
+202                separator=self._match(TokenType.SEPARATOR) and self._parse_field(),
+203            ),
+204        }
+205
+206        STATEMENT_PARSERS = {
+207            **parser.Parser.STATEMENT_PARSERS,
+208            TokenType.SHOW: lambda self: self._parse_show(),
+209        }
+210
+211        SHOW_PARSERS = {
+212            "BINARY LOGS": _show_parser("BINARY LOGS"),
+213            "MASTER LOGS": _show_parser("BINARY LOGS"),
+214            "BINLOG EVENTS": _show_parser("BINLOG EVENTS"),
+215            "CHARACTER SET": _show_parser("CHARACTER SET"),
+216            "CHARSET": _show_parser("CHARACTER SET"),
+217            "COLLATION": _show_parser("COLLATION"),
+218            "FULL COLUMNS": _show_parser("COLUMNS", target="FROM", full=True),
+219            "COLUMNS": _show_parser("COLUMNS", target="FROM"),
+220            "CREATE DATABASE": _show_parser("CREATE DATABASE", target=True),
+221            "CREATE EVENT": _show_parser("CREATE EVENT", target=True),
+222            "CREATE FUNCTION": _show_parser("CREATE FUNCTION", target=True),
+223            "CREATE PROCEDURE": _show_parser("CREATE PROCEDURE", target=True),
+224            "CREATE TABLE": _show_parser("CREATE TABLE", target=True),
+225            "CREATE TRIGGER": _show_parser("CREATE TRIGGER", target=True),
+226            "CREATE VIEW": _show_parser("CREATE VIEW", target=True),
+227            "DATABASES": _show_parser("DATABASES"),
+228            "ENGINE": _show_parser("ENGINE", target=True),
+229            "STORAGE ENGINES": _show_parser("ENGINES"),
+230            "ENGINES": _show_parser("ENGINES"),
+231            "ERRORS": _show_parser("ERRORS"),
+232            "EVENTS": _show_parser("EVENTS"),
+233            "FUNCTION CODE": _show_parser("FUNCTION CODE", target=True),
+234            "FUNCTION STATUS": _show_parser("FUNCTION STATUS"),
+235            "GRANTS": _show_parser("GRANTS", target="FOR"),
+236            "INDEX": _show_parser("INDEX", target="FROM"),
+237            "MASTER STATUS": _show_parser("MASTER STATUS"),
+238            "OPEN TABLES": _show_parser("OPEN TABLES"),
+239            "PLUGINS": _show_parser("PLUGINS"),
+240            "PROCEDURE CODE": _show_parser("PROCEDURE CODE", target=True),
+241            "PROCEDURE STATUS": _show_parser("PROCEDURE STATUS"),
+242            "PRIVILEGES": _show_parser("PRIVILEGES"),
+243            "FULL PROCESSLIST": _show_parser("PROCESSLIST", full=True),
+244            "PROCESSLIST": _show_parser("PROCESSLIST"),
+245            "PROFILE": _show_parser("PROFILE"),
+246            "PROFILES": _show_parser("PROFILES"),
+247            "RELAYLOG EVENTS": _show_parser("RELAYLOG EVENTS"),
+248            "REPLICAS": _show_parser("REPLICAS"),
+249            "SLAVE HOSTS": _show_parser("REPLICAS"),
+250            "REPLICA STATUS": _show_parser("REPLICA STATUS"),
+251            "SLAVE STATUS": _show_parser("REPLICA STATUS"),
+252            "GLOBAL STATUS": _show_parser("STATUS", global_=True),
+253            "SESSION STATUS": _show_parser("STATUS"),
+254            "STATUS": _show_parser("STATUS"),
+255            "TABLE STATUS": _show_parser("TABLE STATUS"),
+256            "FULL TABLES": _show_parser("TABLES", full=True),
+257            "TABLES": _show_parser("TABLES"),
+258            "TRIGGERS": _show_parser("TRIGGERS"),
+259            "GLOBAL VARIABLES": _show_parser("VARIABLES", global_=True),
+260            "SESSION VARIABLES": _show_parser("VARIABLES"),
+261            "VARIABLES": _show_parser("VARIABLES"),
+262            "WARNINGS": _show_parser("WARNINGS"),
+263        }
+264
+265        SET_PARSERS = {
+266            **parser.Parser.SET_PARSERS,
+267            "PERSIST": lambda self: self._parse_set_item_assignment("PERSIST"),
+268            "PERSIST_ONLY": lambda self: self._parse_set_item_assignment("PERSIST_ONLY"),
+269            "CHARACTER SET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
+270            "CHARSET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
+271            "NAMES": lambda self: self._parse_set_item_names(),
+272        }
+273
+274        PROFILE_TYPES = {
+275            "ALL",
+276            "BLOCK IO",
+277            "CONTEXT SWITCHES",
+278            "CPU",
+279            "IPC",
+280            "MEMORY",
+281            "PAGE FAULTS",
+282            "SOURCE",
+283            "SWAPS",
+284        }
 285
-286        def _parse_show_mysql(self, this, target=False, full=None, global_=None):
-287            if target:
-288                if isinstance(target, str):
-289                    self._match_text_seq(target)
-290                target_id = self._parse_id_var()
-291            else:
-292                target_id = None
-293
-294            log = self._parse_string() if self._match_text_seq("IN") else None
-295
-296            if this in {"BINLOG EVENTS", "RELAYLOG EVENTS"}:
-297                position = self._parse_number() if self._match_text_seq("FROM") else None
-298                db = None
+286        LOG_DEFAULTS_TO_LN = True
+287
+288        def _parse_show_mysql(
+289            self,
+290            this: str,
+291            target: bool | str = False,
+292            full: t.Optional[bool] = None,
+293            global_: t.Optional[bool] = None,
+294        ) -> exp.Show:
+295            if target:
+296                if isinstance(target, str):
+297                    self._match_text_seq(target)
+298                target_id = self._parse_id_var()
 299            else:
-300                position = None
-301                db = None
-302
-303                if self._match(TokenType.FROM):
-304                    db = self._parse_id_var()
-305                elif self._match(TokenType.DOT):
-306                    db = target_id
-307                    target_id = self._parse_id_var()
-308
-309            channel = self._parse_id_var() if self._match_text_seq("FOR", "CHANNEL") else None
+300                target_id = None
+301
+302            log = self._parse_string() if self._match_text_seq("IN") else None
+303
+304            if this in {"BINLOG EVENTS", "RELAYLOG EVENTS"}:
+305                position = self._parse_number() if self._match_text_seq("FROM") else None
+306                db = None
+307            else:
+308                position = None
+309                db = None
 310
-311            like = self._parse_string() if self._match_text_seq("LIKE") else None
-312            where = self._parse_where()
-313
-314            if this == "PROFILE":
-315                types = self._parse_csv(lambda: self._parse_var_from_options(self.PROFILE_TYPES))
-316                query = self._parse_number() if self._match_text_seq("FOR", "QUERY") else None
-317                offset = self._parse_number() if self._match_text_seq("OFFSET") else None
-318                limit = self._parse_number() if self._match_text_seq("LIMIT") else None
-319            else:
-320                types, query = None, None
-321                offset, limit = self._parse_oldstyle_limit()
-322
-323            mutex = True if self._match_text_seq("MUTEX") else None
-324            mutex = False if self._match_text_seq("STATUS") else mutex
-325
-326            return self.expression(
-327                exp.Show,
-328                this=this,
-329                target=target_id,
-330                full=full,
-331                log=log,
-332                position=position,
-333                db=db,
-334                channel=channel,
-335                like=like,
-336                where=where,
-337                types=types,
-338                query=query,
-339                offset=offset,
-340                limit=limit,
-341                mutex=mutex,
-342                **{"global": global_},
-343            )
-344
-345        def _parse_oldstyle_limit(self):
-346            limit = None
-347            offset = None
-348            if self._match_text_seq("LIMIT"):
-349                parts = self._parse_csv(self._parse_number)
-350                if len(parts) == 1:
-351                    limit = parts[0]
-352                elif len(parts) == 2:
-353                    limit = parts[1]
-354                    offset = parts[0]
-355            return offset, limit
-356
-357        def _parse_set_item_charset(self, kind):
-358            this = self._parse_string() or self._parse_id_var()
-359
-360            return self.expression(
-361                exp.SetItem,
-362                this=this,
-363                kind=kind,
-364            )
+311                if self._match(TokenType.FROM):
+312                    db = self._parse_id_var()
+313                elif self._match(TokenType.DOT):
+314                    db = target_id
+315                    target_id = self._parse_id_var()
+316
+317            channel = self._parse_id_var() if self._match_text_seq("FOR", "CHANNEL") else None
+318
+319            like = self._parse_string() if self._match_text_seq("LIKE") else None
+320            where = self._parse_where()
+321
+322            if this == "PROFILE":
+323                types = self._parse_csv(lambda: self._parse_var_from_options(self.PROFILE_TYPES))
+324                query = self._parse_number() if self._match_text_seq("FOR", "QUERY") else None
+325                offset = self._parse_number() if self._match_text_seq("OFFSET") else None
+326                limit = self._parse_number() if self._match_text_seq("LIMIT") else None
+327            else:
+328                types, query = None, None
+329                offset, limit = self._parse_oldstyle_limit()
+330
+331            mutex = True if self._match_text_seq("MUTEX") else None
+332            mutex = False if self._match_text_seq("STATUS") else mutex
+333
+334            return self.expression(
+335                exp.Show,
+336                this=this,
+337                target=target_id,
+338                full=full,
+339                log=log,
+340                position=position,
+341                db=db,
+342                channel=channel,
+343                like=like,
+344                where=where,
+345                types=types,
+346                query=query,
+347                offset=offset,
+348                limit=limit,
+349                mutex=mutex,
+350                **{"global": global_},  # type: ignore
+351            )
+352
+353        def _parse_oldstyle_limit(
+354            self,
+355        ) -> t.Tuple[t.Optional[exp.Expression], t.Optional[exp.Expression]]:
+356            limit = None
+357            offset = None
+358            if self._match_text_seq("LIMIT"):
+359                parts = self._parse_csv(self._parse_number)
+360                if len(parts) == 1:
+361                    limit = parts[0]
+362                elif len(parts) == 2:
+363                    limit = parts[1]
+364                    offset = parts[0]
 365
-366        def _parse_set_item_names(self):
-367            charset = self._parse_string() or self._parse_id_var()
-368            if self._match_text_seq("COLLATE"):
-369                collate = self._parse_string() or self._parse_id_var()
-370            else:
-371                collate = None
-372            return self.expression(
-373                exp.SetItem,
-374                this=charset,
-375                collate=collate,
-376                kind="NAMES",
-377            )
+366            return offset, limit
+367
+368        def _parse_set_item_charset(self, kind: str) -> exp.Expression:
+369            this = self._parse_string() or self._parse_id_var()
+370            return self.expression(exp.SetItem, this=this, kind=kind)
+371
+372        def _parse_set_item_names(self) -> exp.Expression:
+373            charset = self._parse_string() or self._parse_id_var()
+374            if self._match_text_seq("COLLATE"):
+375                collate = self._parse_string() or self._parse_id_var()
+376            else:
+377                collate = None
 378
-379    class Generator(generator.Generator):
-380        LOCKING_READS_SUPPORTED = True
-381        NULL_ORDERING_SUPPORTED = False
-382        JOIN_HINTS = False
-383        TABLE_HINTS = False
-384
-385        TRANSFORMS = {
-386            **generator.Generator.TRANSFORMS,
-387            exp.CurrentDate: no_paren_current_date_sql,
-388            exp.DateDiff: lambda self, e: self.func("DATEDIFF", e.this, e.expression),
-389            exp.DateAdd: _date_add_sql("ADD"),
-390            exp.DateStrToDate: datestrtodate_sql,
-391            exp.DateSub: _date_add_sql("SUB"),
-392            exp.DateTrunc: _date_trunc_sql,
-393            exp.DayOfMonth: rename_func("DAYOFMONTH"),
-394            exp.DayOfWeek: rename_func("DAYOFWEEK"),
-395            exp.DayOfYear: rename_func("DAYOFYEAR"),
-396            exp.GroupConcat: lambda self, e: f"""GROUP_CONCAT({self.sql(e, "this")} SEPARATOR {self.sql(e, "separator") or "','"})""",
-397            exp.ILike: no_ilike_sql,
-398            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-399            exp.Max: max_or_greatest,
-400            exp.Min: min_or_least,
-401            exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"),
-402            exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")),
-403            exp.Pivot: no_pivot_sql,
-404            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-405            exp.StrPosition: strposition_to_locate_sql,
-406            exp.StrToDate: _str_to_date_sql,
-407            exp.StrToTime: _str_to_date_sql,
-408            exp.TableSample: no_tablesample_sql,
-409            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
-410            exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)),
-411            exp.Trim: _trim_sql,
-412            exp.TryCast: no_trycast_sql,
-413            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
-414        }
-415
-416        TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy()
-417        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT)
-418        TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT)
-419        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB)
-420        TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB)
-421
-422        PROPERTIES_LOCATION = {
-423            **generator.Generator.PROPERTIES_LOCATION,
-424            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
-425            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-426        }
-427
-428        LIMIT_FETCH = "LIMIT"
-429
-430        def show_sql(self, expression: exp.Show) -> str:
-431            this = f" {expression.name}"
-432            full = " FULL" if expression.args.get("full") else ""
-433            global_ = " GLOBAL" if expression.args.get("global") else ""
+379            return self.expression(
+380                exp.SetItem,
+381                this=charset,
+382                collate=collate,
+383                kind="NAMES",
+384            )
+385
+386    class Generator(generator.Generator):
+387        LOCKING_READS_SUPPORTED = True
+388        NULL_ORDERING_SUPPORTED = False
+389        JOIN_HINTS = False
+390        TABLE_HINTS = False
+391
+392        TRANSFORMS = {
+393            **generator.Generator.TRANSFORMS,
+394            exp.CurrentDate: no_paren_current_date_sql,
+395            exp.DateDiff: lambda self, e: self.func("DATEDIFF", e.this, e.expression),
+396            exp.DateAdd: _date_add_sql("ADD"),
+397            exp.DateStrToDate: datestrtodate_sql,
+398            exp.DateSub: _date_add_sql("SUB"),
+399            exp.DateTrunc: _date_trunc_sql,
+400            exp.DayOfMonth: rename_func("DAYOFMONTH"),
+401            exp.DayOfWeek: rename_func("DAYOFWEEK"),
+402            exp.DayOfYear: rename_func("DAYOFYEAR"),
+403            exp.GroupConcat: lambda self, e: f"""GROUP_CONCAT({self.sql(e, "this")} SEPARATOR {self.sql(e, "separator") or "','"})""",
+404            exp.ILike: no_ilike_sql,
+405            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+406            exp.Max: max_or_greatest,
+407            exp.Min: min_or_least,
+408            exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"),
+409            exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")),
+410            exp.Pivot: no_pivot_sql,
+411            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+412            exp.StrPosition: strposition_to_locate_sql,
+413            exp.StrToDate: _str_to_date_sql,
+414            exp.StrToTime: _str_to_date_sql,
+415            exp.TableSample: no_tablesample_sql,
+416            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
+417            exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)),
+418            exp.Trim: _trim_sql,
+419            exp.TryCast: no_trycast_sql,
+420            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
+421        }
+422
+423        TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy()
+424        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT)
+425        TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT)
+426        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB)
+427        TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB)
+428
+429        PROPERTIES_LOCATION = {
+430            **generator.Generator.PROPERTIES_LOCATION,
+431            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
+432            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+433        }
 434
-435            target = self.sql(expression, "target")
-436            target = f" {target}" if target else ""
-437            if expression.name in {"COLUMNS", "INDEX"}:
-438                target = f" FROM{target}"
-439            elif expression.name == "GRANTS":
-440                target = f" FOR{target}"
+435        LIMIT_FETCH = "LIMIT"
+436
+437        def show_sql(self, expression: exp.Show) -> str:
+438            this = f" {expression.name}"
+439            full = " FULL" if expression.args.get("full") else ""
+440            global_ = " GLOBAL" if expression.args.get("global") else ""
 441
-442            db = self._prefixed_sql("FROM", expression, "db")
-443
-444            like = self._prefixed_sql("LIKE", expression, "like")
-445            where = self.sql(expression, "where")
-446
-447            types = self.expressions(expression, key="types")
-448            types = f" {types}" if types else types
-449            query = self._prefixed_sql("FOR QUERY", expression, "query")
+442            target = self.sql(expression, "target")
+443            target = f" {target}" if target else ""
+444            if expression.name in {"COLUMNS", "INDEX"}:
+445                target = f" FROM{target}"
+446            elif expression.name == "GRANTS":
+447                target = f" FOR{target}"
+448
+449            db = self._prefixed_sql("FROM", expression, "db")
 450
-451            if expression.name == "PROFILE":
-452                offset = self._prefixed_sql("OFFSET", expression, "offset")
-453                limit = self._prefixed_sql("LIMIT", expression, "limit")
-454            else:
-455                offset = ""
-456                limit = self._oldstyle_limit_sql(expression)
+451            like = self._prefixed_sql("LIKE", expression, "like")
+452            where = self.sql(expression, "where")
+453
+454            types = self.expressions(expression, key="types")
+455            types = f" {types}" if types else types
+456            query = self._prefixed_sql("FOR QUERY", expression, "query")
 457
-458            log = self._prefixed_sql("IN", expression, "log")
-459            position = self._prefixed_sql("FROM", expression, "position")
-460
-461            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
-462
-463            if expression.name == "ENGINE":
-464                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
-465            else:
-466                mutex_or_status = ""
+458            if expression.name == "PROFILE":
+459                offset = self._prefixed_sql("OFFSET", expression, "offset")
+460                limit = self._prefixed_sql("LIMIT", expression, "limit")
+461            else:
+462                offset = ""
+463                limit = self._oldstyle_limit_sql(expression)
+464
+465            log = self._prefixed_sql("IN", expression, "log")
+466            position = self._prefixed_sql("FROM", expression, "position")
 467
-468            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
+468            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
 469
-470        def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str:
-471            sql = self.sql(expression, arg)
-472            if not sql:
-473                return ""
-474            return f" {prefix} {sql}"
-475
-476        def _oldstyle_limit_sql(self, expression: exp.Show) -> str:
-477            limit = self.sql(expression, "limit")
-478            offset = self.sql(expression, "offset")
-479            if limit:
-480                limit_offset = f"{offset}, {limit}" if offset else limit
-481                return f" LIMIT {limit_offset}"
-482            return ""
+470            if expression.name == "ENGINE":
+471                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
+472            else:
+473                mutex_or_status = ""
+474
+475            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
+476
+477        def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str:
+478            sql = self.sql(expression, arg)
+479            if not sql:
+480                return ""
+481            return f" {prefix} {sql}"
+482
+483        def _oldstyle_limit_sql(self, expression: exp.Show) -> str:
+484            limit = self.sql(expression, "limit")
+485            offset = self.sql(expression, "offset")
+486            if limit:
+487                limit_offset = f"{offset}, {limit}" if offset else limit
+488                return f" LIMIT {limit_offset}"
+489            return ""
 
    
 
 
@@ -998,70 +1010,70 @@ 
    Inherited Members
    
 
     
    
     
-            
    114    class Tokenizer(tokens.Tokenizer):
-115        QUOTES = ["'", '"']
-116        COMMENTS = ["--", "#", ("/*", "*/")]
-117        IDENTIFIERS = ["`"]
-118        STRING_ESCAPES = ["'", "\\"]
-119        BIT_STRINGS = [("b'", "'"), ("B'", "'"), ("0b", "")]
-120        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", "")]
-121
-122        KEYWORDS = {
-123            **tokens.Tokenizer.KEYWORDS,
-124            "CHARSET": TokenType.CHARACTER_SET,
-125            "LONGBLOB": TokenType.LONGBLOB,
-126            "LONGTEXT": TokenType.LONGTEXT,
-127            "MEDIUMBLOB": TokenType.MEDIUMBLOB,
-128            "MEDIUMTEXT": TokenType.MEDIUMTEXT,
-129            "SEPARATOR": TokenType.SEPARATOR,
-130            "START": TokenType.BEGIN,
-131            "_ARMSCII8": TokenType.INTRODUCER,
-132            "_ASCII": TokenType.INTRODUCER,
-133            "_BIG5": TokenType.INTRODUCER,
-134            "_BINARY": TokenType.INTRODUCER,
-135            "_CP1250": TokenType.INTRODUCER,
-136            "_CP1251": TokenType.INTRODUCER,
-137            "_CP1256": TokenType.INTRODUCER,
-138            "_CP1257": TokenType.INTRODUCER,
-139            "_CP850": TokenType.INTRODUCER,
-140            "_CP852": TokenType.INTRODUCER,
-141            "_CP866": TokenType.INTRODUCER,
-142            "_CP932": TokenType.INTRODUCER,
-143            "_DEC8": TokenType.INTRODUCER,
-144            "_EUCJPMS": TokenType.INTRODUCER,
-145            "_EUCKR": TokenType.INTRODUCER,
-146            "_GB18030": TokenType.INTRODUCER,
-147            "_GB2312": TokenType.INTRODUCER,
-148            "_GBK": TokenType.INTRODUCER,
-149            "_GEOSTD8": TokenType.INTRODUCER,
-150            "_GREEK": TokenType.INTRODUCER,
-151            "_HEBREW": TokenType.INTRODUCER,
-152            "_HP8": TokenType.INTRODUCER,
-153            "_KEYBCS2": TokenType.INTRODUCER,
-154            "_KOI8R": TokenType.INTRODUCER,
-155            "_KOI8U": TokenType.INTRODUCER,
-156            "_LATIN1": TokenType.INTRODUCER,
-157            "_LATIN2": TokenType.INTRODUCER,
-158            "_LATIN5": TokenType.INTRODUCER,
-159            "_LATIN7": TokenType.INTRODUCER,
-160            "_MACCE": TokenType.INTRODUCER,
-161            "_MACROMAN": TokenType.INTRODUCER,
-162            "_SJIS": TokenType.INTRODUCER,
-163            "_SWE7": TokenType.INTRODUCER,
-164            "_TIS620": TokenType.INTRODUCER,
-165            "_UCS2": TokenType.INTRODUCER,
-166            "_UJIS": TokenType.INTRODUCER,
-167            # https://dev.mysql.com/doc/refman/8.0/en/string-literals.html
-168            "_UTF8": TokenType.INTRODUCER,
-169            "_UTF16": TokenType.INTRODUCER,
-170            "_UTF16LE": TokenType.INTRODUCER,
-171            "_UTF32": TokenType.INTRODUCER,
-172            "_UTF8MB3": TokenType.INTRODUCER,
-173            "_UTF8MB4": TokenType.INTRODUCER,
-174            "@@": TokenType.SESSION_PARAMETER,
-175        }
-176
-177        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
+            
    116    class Tokenizer(tokens.Tokenizer):
+117        QUOTES = ["'", '"']
+118        COMMENTS = ["--", "#", ("/*", "*/")]
+119        IDENTIFIERS = ["`"]
+120        STRING_ESCAPES = ["'", "\\"]
+121        BIT_STRINGS = [("b'", "'"), ("B'", "'"), ("0b", "")]
+122        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", "")]
+123
+124        KEYWORDS = {
+125            **tokens.Tokenizer.KEYWORDS,
+126            "CHARSET": TokenType.CHARACTER_SET,
+127            "LONGBLOB": TokenType.LONGBLOB,
+128            "LONGTEXT": TokenType.LONGTEXT,
+129            "MEDIUMBLOB": TokenType.MEDIUMBLOB,
+130            "MEDIUMTEXT": TokenType.MEDIUMTEXT,
+131            "SEPARATOR": TokenType.SEPARATOR,
+132            "START": TokenType.BEGIN,
+133            "_ARMSCII8": TokenType.INTRODUCER,
+134            "_ASCII": TokenType.INTRODUCER,
+135            "_BIG5": TokenType.INTRODUCER,
+136            "_BINARY": TokenType.INTRODUCER,
+137            "_CP1250": TokenType.INTRODUCER,
+138            "_CP1251": TokenType.INTRODUCER,
+139            "_CP1256": TokenType.INTRODUCER,
+140            "_CP1257": TokenType.INTRODUCER,
+141            "_CP850": TokenType.INTRODUCER,
+142            "_CP852": TokenType.INTRODUCER,
+143            "_CP866": TokenType.INTRODUCER,
+144            "_CP932": TokenType.INTRODUCER,
+145            "_DEC8": TokenType.INTRODUCER,
+146            "_EUCJPMS": TokenType.INTRODUCER,
+147            "_EUCKR": TokenType.INTRODUCER,
+148            "_GB18030": TokenType.INTRODUCER,
+149            "_GB2312": TokenType.INTRODUCER,
+150            "_GBK": TokenType.INTRODUCER,
+151            "_GEOSTD8": TokenType.INTRODUCER,
+152            "_GREEK": TokenType.INTRODUCER,
+153            "_HEBREW": TokenType.INTRODUCER,
+154            "_HP8": TokenType.INTRODUCER,
+155            "_KEYBCS2": TokenType.INTRODUCER,
+156            "_KOI8R": TokenType.INTRODUCER,
+157            "_KOI8U": TokenType.INTRODUCER,
+158            "_LATIN1": TokenType.INTRODUCER,
+159            "_LATIN2": TokenType.INTRODUCER,
+160            "_LATIN5": TokenType.INTRODUCER,
+161            "_LATIN7": TokenType.INTRODUCER,
+162            "_MACCE": TokenType.INTRODUCER,
+163            "_MACROMAN": TokenType.INTRODUCER,
+164            "_SJIS": TokenType.INTRODUCER,
+165            "_SWE7": TokenType.INTRODUCER,
+166            "_TIS620": TokenType.INTRODUCER,
+167            "_UCS2": TokenType.INTRODUCER,
+168            "_UJIS": TokenType.INTRODUCER,
+169            # https://dev.mysql.com/doc/refman/8.0/en/string-literals.html
+170            "_UTF8": TokenType.INTRODUCER,
+171            "_UTF16": TokenType.INTRODUCER,
+172            "_UTF16LE": TokenType.INTRODUCER,
+173            "_UTF32": TokenType.INTRODUCER,
+174            "_UTF8MB3": TokenType.INTRODUCER,
+175            "_UTF8MB4": TokenType.INTRODUCER,
+176            "@@": TokenType.SESSION_PARAMETER,
+177        }
+178
+179        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
 
    
 
 
@@ -1089,205 +1101,210 @@ 
    Inherited Members
    
 
     
    
     
-            
    179    class Parser(parser.Parser):
-180        FUNC_TOKENS = {*parser.Parser.FUNC_TOKENS, TokenType.SCHEMA, TokenType.DATABASE}
-181
-182        FUNCTIONS = {
-183            **parser.Parser.FUNCTIONS,
-184            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
-185            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "mysql"),
-186            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
-187            "INSTR": lambda args: exp.StrPosition(substr=seq_get(args, 1), this=seq_get(args, 0)),
-188            "LEFT": lambda args: exp.Substring(
-189                this=seq_get(args, 0), start=exp.Literal.number(1), length=seq_get(args, 1)
-190            ),
-191            "LOCATE": locate_to_strposition,
-192            "STR_TO_DATE": _str_to_date,
-193        }
-194
-195        FUNCTION_PARSERS = {
-196            **parser.Parser.FUNCTION_PARSERS,
-197            "GROUP_CONCAT": lambda self: self.expression(
-198                exp.GroupConcat,
-199                this=self._parse_lambda(),
-200                separator=self._match(TokenType.SEPARATOR) and self._parse_field(),
-201            ),
-202        }
-203
-204        STATEMENT_PARSERS = {
-205            **parser.Parser.STATEMENT_PARSERS,
-206            TokenType.SHOW: lambda self: self._parse_show(),
-207        }
-208
-209        SHOW_PARSERS = {
-210            "BINARY LOGS": _show_parser("BINARY LOGS"),
-211            "MASTER LOGS": _show_parser("BINARY LOGS"),
-212            "BINLOG EVENTS": _show_parser("BINLOG EVENTS"),
-213            "CHARACTER SET": _show_parser("CHARACTER SET"),
-214            "CHARSET": _show_parser("CHARACTER SET"),
-215            "COLLATION": _show_parser("COLLATION"),
-216            "FULL COLUMNS": _show_parser("COLUMNS", target="FROM", full=True),
-217            "COLUMNS": _show_parser("COLUMNS", target="FROM"),
-218            "CREATE DATABASE": _show_parser("CREATE DATABASE", target=True),
-219            "CREATE EVENT": _show_parser("CREATE EVENT", target=True),
-220            "CREATE FUNCTION": _show_parser("CREATE FUNCTION", target=True),
-221            "CREATE PROCEDURE": _show_parser("CREATE PROCEDURE", target=True),
-222            "CREATE TABLE": _show_parser("CREATE TABLE", target=True),
-223            "CREATE TRIGGER": _show_parser("CREATE TRIGGER", target=True),
-224            "CREATE VIEW": _show_parser("CREATE VIEW", target=True),
-225            "DATABASES": _show_parser("DATABASES"),
-226            "ENGINE": _show_parser("ENGINE", target=True),
-227            "STORAGE ENGINES": _show_parser("ENGINES"),
-228            "ENGINES": _show_parser("ENGINES"),
-229            "ERRORS": _show_parser("ERRORS"),
-230            "EVENTS": _show_parser("EVENTS"),
-231            "FUNCTION CODE": _show_parser("FUNCTION CODE", target=True),
-232            "FUNCTION STATUS": _show_parser("FUNCTION STATUS"),
-233            "GRANTS": _show_parser("GRANTS", target="FOR"),
-234            "INDEX": _show_parser("INDEX", target="FROM"),
-235            "MASTER STATUS": _show_parser("MASTER STATUS"),
-236            "OPEN TABLES": _show_parser("OPEN TABLES"),
-237            "PLUGINS": _show_parser("PLUGINS"),
-238            "PROCEDURE CODE": _show_parser("PROCEDURE CODE", target=True),
-239            "PROCEDURE STATUS": _show_parser("PROCEDURE STATUS"),
-240            "PRIVILEGES": _show_parser("PRIVILEGES"),
-241            "FULL PROCESSLIST": _show_parser("PROCESSLIST", full=True),
-242            "PROCESSLIST": _show_parser("PROCESSLIST"),
-243            "PROFILE": _show_parser("PROFILE"),
-244            "PROFILES": _show_parser("PROFILES"),
-245            "RELAYLOG EVENTS": _show_parser("RELAYLOG EVENTS"),
-246            "REPLICAS": _show_parser("REPLICAS"),
-247            "SLAVE HOSTS": _show_parser("REPLICAS"),
-248            "REPLICA STATUS": _show_parser("REPLICA STATUS"),
-249            "SLAVE STATUS": _show_parser("REPLICA STATUS"),
-250            "GLOBAL STATUS": _show_parser("STATUS", global_=True),
-251            "SESSION STATUS": _show_parser("STATUS"),
-252            "STATUS": _show_parser("STATUS"),
-253            "TABLE STATUS": _show_parser("TABLE STATUS"),
-254            "FULL TABLES": _show_parser("TABLES", full=True),
-255            "TABLES": _show_parser("TABLES"),
-256            "TRIGGERS": _show_parser("TRIGGERS"),
-257            "GLOBAL VARIABLES": _show_parser("VARIABLES", global_=True),
-258            "SESSION VARIABLES": _show_parser("VARIABLES"),
-259            "VARIABLES": _show_parser("VARIABLES"),
-260            "WARNINGS": _show_parser("WARNINGS"),
-261        }
-262
-263        SET_PARSERS = {
-264            **parser.Parser.SET_PARSERS,
-265            "PERSIST": lambda self: self._parse_set_item_assignment("PERSIST"),
-266            "PERSIST_ONLY": lambda self: self._parse_set_item_assignment("PERSIST_ONLY"),
-267            "CHARACTER SET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
-268            "CHARSET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
-269            "NAMES": lambda self: self._parse_set_item_names(),
-270        }
-271
-272        PROFILE_TYPES = {
-273            "ALL",
-274            "BLOCK IO",
-275            "CONTEXT SWITCHES",
-276            "CPU",
-277            "IPC",
-278            "MEMORY",
-279            "PAGE FAULTS",
-280            "SOURCE",
-281            "SWAPS",
-282        }
-283
-284        LOG_DEFAULTS_TO_LN = True
+            
    181    class Parser(parser.Parser):
+182        FUNC_TOKENS = {*parser.Parser.FUNC_TOKENS, TokenType.SCHEMA, TokenType.DATABASE}
+183
+184        FUNCTIONS = {
+185            **parser.Parser.FUNCTIONS,
+186            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
+187            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "mysql"),
+188            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
+189            "INSTR": lambda args: exp.StrPosition(substr=seq_get(args, 1), this=seq_get(args, 0)),
+190            "LEFT": lambda args: exp.Substring(
+191                this=seq_get(args, 0), start=exp.Literal.number(1), length=seq_get(args, 1)
+192            ),
+193            "LOCATE": locate_to_strposition,
+194            "STR_TO_DATE": _str_to_date,
+195        }
+196
+197        FUNCTION_PARSERS = {
+198            **parser.Parser.FUNCTION_PARSERS,
+199            "GROUP_CONCAT": lambda self: self.expression(
+200                exp.GroupConcat,
+201                this=self._parse_lambda(),
+202                separator=self._match(TokenType.SEPARATOR) and self._parse_field(),
+203            ),
+204        }
+205
+206        STATEMENT_PARSERS = {
+207            **parser.Parser.STATEMENT_PARSERS,
+208            TokenType.SHOW: lambda self: self._parse_show(),
+209        }
+210
+211        SHOW_PARSERS = {
+212            "BINARY LOGS": _show_parser("BINARY LOGS"),
+213            "MASTER LOGS": _show_parser("BINARY LOGS"),
+214            "BINLOG EVENTS": _show_parser("BINLOG EVENTS"),
+215            "CHARACTER SET": _show_parser("CHARACTER SET"),
+216            "CHARSET": _show_parser("CHARACTER SET"),
+217            "COLLATION": _show_parser("COLLATION"),
+218            "FULL COLUMNS": _show_parser("COLUMNS", target="FROM", full=True),
+219            "COLUMNS": _show_parser("COLUMNS", target="FROM"),
+220            "CREATE DATABASE": _show_parser("CREATE DATABASE", target=True),
+221            "CREATE EVENT": _show_parser("CREATE EVENT", target=True),
+222            "CREATE FUNCTION": _show_parser("CREATE FUNCTION", target=True),
+223            "CREATE PROCEDURE": _show_parser("CREATE PROCEDURE", target=True),
+224            "CREATE TABLE": _show_parser("CREATE TABLE", target=True),
+225            "CREATE TRIGGER": _show_parser("CREATE TRIGGER", target=True),
+226            "CREATE VIEW": _show_parser("CREATE VIEW", target=True),
+227            "DATABASES": _show_parser("DATABASES"),
+228            "ENGINE": _show_parser("ENGINE", target=True),
+229            "STORAGE ENGINES": _show_parser("ENGINES"),
+230            "ENGINES": _show_parser("ENGINES"),
+231            "ERRORS": _show_parser("ERRORS"),
+232            "EVENTS": _show_parser("EVENTS"),
+233            "FUNCTION CODE": _show_parser("FUNCTION CODE", target=True),
+234            "FUNCTION STATUS": _show_parser("FUNCTION STATUS"),
+235            "GRANTS": _show_parser("GRANTS", target="FOR"),
+236            "INDEX": _show_parser("INDEX", target="FROM"),
+237            "MASTER STATUS": _show_parser("MASTER STATUS"),
+238            "OPEN TABLES": _show_parser("OPEN TABLES"),
+239            "PLUGINS": _show_parser("PLUGINS"),
+240            "PROCEDURE CODE": _show_parser("PROCEDURE CODE", target=True),
+241            "PROCEDURE STATUS": _show_parser("PROCEDURE STATUS"),
+242            "PRIVILEGES": _show_parser("PRIVILEGES"),
+243            "FULL PROCESSLIST": _show_parser("PROCESSLIST", full=True),
+244            "PROCESSLIST": _show_parser("PROCESSLIST"),
+245            "PROFILE": _show_parser("PROFILE"),
+246            "PROFILES": _show_parser("PROFILES"),
+247            "RELAYLOG EVENTS": _show_parser("RELAYLOG EVENTS"),
+248            "REPLICAS": _show_parser("REPLICAS"),
+249            "SLAVE HOSTS": _show_parser("REPLICAS"),
+250            "REPLICA STATUS": _show_parser("REPLICA STATUS"),
+251            "SLAVE STATUS": _show_parser("REPLICA STATUS"),
+252            "GLOBAL STATUS": _show_parser("STATUS", global_=True),
+253            "SESSION STATUS": _show_parser("STATUS"),
+254            "STATUS": _show_parser("STATUS"),
+255            "TABLE STATUS": _show_parser("TABLE STATUS"),
+256            "FULL TABLES": _show_parser("TABLES", full=True),
+257            "TABLES": _show_parser("TABLES"),
+258            "TRIGGERS": _show_parser("TRIGGERS"),
+259            "GLOBAL VARIABLES": _show_parser("VARIABLES", global_=True),
+260            "SESSION VARIABLES": _show_parser("VARIABLES"),
+261            "VARIABLES": _show_parser("VARIABLES"),
+262            "WARNINGS": _show_parser("WARNINGS"),
+263        }
+264
+265        SET_PARSERS = {
+266            **parser.Parser.SET_PARSERS,
+267            "PERSIST": lambda self: self._parse_set_item_assignment("PERSIST"),
+268            "PERSIST_ONLY": lambda self: self._parse_set_item_assignment("PERSIST_ONLY"),
+269            "CHARACTER SET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
+270            "CHARSET": lambda self: self._parse_set_item_charset("CHARACTER SET"),
+271            "NAMES": lambda self: self._parse_set_item_names(),
+272        }
+273
+274        PROFILE_TYPES = {
+275            "ALL",
+276            "BLOCK IO",
+277            "CONTEXT SWITCHES",
+278            "CPU",
+279            "IPC",
+280            "MEMORY",
+281            "PAGE FAULTS",
+282            "SOURCE",
+283            "SWAPS",
+284        }
 285
-286        def _parse_show_mysql(self, this, target=False, full=None, global_=None):
-287            if target:
-288                if isinstance(target, str):
-289                    self._match_text_seq(target)
-290                target_id = self._parse_id_var()
-291            else:
-292                target_id = None
-293
-294            log = self._parse_string() if self._match_text_seq("IN") else None
-295
-296            if this in {"BINLOG EVENTS", "RELAYLOG EVENTS"}:
-297                position = self._parse_number() if self._match_text_seq("FROM") else None
-298                db = None
+286        LOG_DEFAULTS_TO_LN = True
+287
+288        def _parse_show_mysql(
+289            self,
+290            this: str,
+291            target: bool | str = False,
+292            full: t.Optional[bool] = None,
+293            global_: t.Optional[bool] = None,
+294        ) -> exp.Show:
+295            if target:
+296                if isinstance(target, str):
+297                    self._match_text_seq(target)
+298                target_id = self._parse_id_var()
 299            else:
-300                position = None
-301                db = None
-302
-303                if self._match(TokenType.FROM):
-304                    db = self._parse_id_var()
-305                elif self._match(TokenType.DOT):
-306                    db = target_id
-307                    target_id = self._parse_id_var()
-308
-309            channel = self._parse_id_var() if self._match_text_seq("FOR", "CHANNEL") else None
+300                target_id = None
+301
+302            log = self._parse_string() if self._match_text_seq("IN") else None
+303
+304            if this in {"BINLOG EVENTS", "RELAYLOG EVENTS"}:
+305                position = self._parse_number() if self._match_text_seq("FROM") else None
+306                db = None
+307            else:
+308                position = None
+309                db = None
 310
-311            like = self._parse_string() if self._match_text_seq("LIKE") else None
-312            where = self._parse_where()
-313
-314            if this == "PROFILE":
-315                types = self._parse_csv(lambda: self._parse_var_from_options(self.PROFILE_TYPES))
-316                query = self._parse_number() if self._match_text_seq("FOR", "QUERY") else None
-317                offset = self._parse_number() if self._match_text_seq("OFFSET") else None
-318                limit = self._parse_number() if self._match_text_seq("LIMIT") else None
-319            else:
-320                types, query = None, None
-321                offset, limit = self._parse_oldstyle_limit()
-322
-323            mutex = True if self._match_text_seq("MUTEX") else None
-324            mutex = False if self._match_text_seq("STATUS") else mutex
-325
-326            return self.expression(
-327                exp.Show,
-328                this=this,
-329                target=target_id,
-330                full=full,
-331                log=log,
-332                position=position,
-333                db=db,
-334                channel=channel,
-335                like=like,
-336                where=where,
-337                types=types,
-338                query=query,
-339                offset=offset,
-340                limit=limit,
-341                mutex=mutex,
-342                **{"global": global_},
-343            )
-344
-345        def _parse_oldstyle_limit(self):
-346            limit = None
-347            offset = None
-348            if self._match_text_seq("LIMIT"):
-349                parts = self._parse_csv(self._parse_number)
-350                if len(parts) == 1:
-351                    limit = parts[0]
-352                elif len(parts) == 2:
-353                    limit = parts[1]
-354                    offset = parts[0]
-355            return offset, limit
-356
-357        def _parse_set_item_charset(self, kind):
-358            this = self._parse_string() or self._parse_id_var()
-359
-360            return self.expression(
-361                exp.SetItem,
-362                this=this,
-363                kind=kind,
-364            )
+311                if self._match(TokenType.FROM):
+312                    db = self._parse_id_var()
+313                elif self._match(TokenType.DOT):
+314                    db = target_id
+315                    target_id = self._parse_id_var()
+316
+317            channel = self._parse_id_var() if self._match_text_seq("FOR", "CHANNEL") else None
+318
+319            like = self._parse_string() if self._match_text_seq("LIKE") else None
+320            where = self._parse_where()
+321
+322            if this == "PROFILE":
+323                types = self._parse_csv(lambda: self._parse_var_from_options(self.PROFILE_TYPES))
+324                query = self._parse_number() if self._match_text_seq("FOR", "QUERY") else None
+325                offset = self._parse_number() if self._match_text_seq("OFFSET") else None
+326                limit = self._parse_number() if self._match_text_seq("LIMIT") else None
+327            else:
+328                types, query = None, None
+329                offset, limit = self._parse_oldstyle_limit()
+330
+331            mutex = True if self._match_text_seq("MUTEX") else None
+332            mutex = False if self._match_text_seq("STATUS") else mutex
+333
+334            return self.expression(
+335                exp.Show,
+336                this=this,
+337                target=target_id,
+338                full=full,
+339                log=log,
+340                position=position,
+341                db=db,
+342                channel=channel,
+343                like=like,
+344                where=where,
+345                types=types,
+346                query=query,
+347                offset=offset,
+348                limit=limit,
+349                mutex=mutex,
+350                **{"global": global_},  # type: ignore
+351            )
+352
+353        def _parse_oldstyle_limit(
+354            self,
+355        ) -> t.Tuple[t.Optional[exp.Expression], t.Optional[exp.Expression]]:
+356            limit = None
+357            offset = None
+358            if self._match_text_seq("LIMIT"):
+359                parts = self._parse_csv(self._parse_number)
+360                if len(parts) == 1:
+361                    limit = parts[0]
+362                elif len(parts) == 2:
+363                    limit = parts[1]
+364                    offset = parts[0]
 365
-366        def _parse_set_item_names(self):
-367            charset = self._parse_string() or self._parse_id_var()
-368            if self._match_text_seq("COLLATE"):
-369                collate = self._parse_string() or self._parse_id_var()
-370            else:
-371                collate = None
-372            return self.expression(
-373                exp.SetItem,
-374                this=charset,
-375                collate=collate,
-376                kind="NAMES",
-377            )
+366            return offset, limit
+367
+368        def _parse_set_item_charset(self, kind: str) -> exp.Expression:
+369            this = self._parse_string() or self._parse_id_var()
+370            return self.expression(exp.SetItem, this=this, kind=kind)
+371
+372        def _parse_set_item_names(self) -> exp.Expression:
+373            charset = self._parse_string() or self._parse_id_var()
+374            if self._match_text_seq("COLLATE"):
+375                collate = self._parse_string() or self._parse_id_var()
+376            else:
+377                collate = None
+378
+379            return self.expression(
+380                exp.SetItem,
+381                this=charset,
+382                collate=collate,
+383                kind="NAMES",
+384            )
 
    
 
 
@@ -1344,110 +1361,110 @@ 
    Inherited Members
    
 
     
    
     
-            
    379    class Generator(generator.Generator):
-380        LOCKING_READS_SUPPORTED = True
-381        NULL_ORDERING_SUPPORTED = False
-382        JOIN_HINTS = False
-383        TABLE_HINTS = False
-384
-385        TRANSFORMS = {
-386            **generator.Generator.TRANSFORMS,
-387            exp.CurrentDate: no_paren_current_date_sql,
-388            exp.DateDiff: lambda self, e: self.func("DATEDIFF", e.this, e.expression),
-389            exp.DateAdd: _date_add_sql("ADD"),
-390            exp.DateStrToDate: datestrtodate_sql,
-391            exp.DateSub: _date_add_sql("SUB"),
-392            exp.DateTrunc: _date_trunc_sql,
-393            exp.DayOfMonth: rename_func("DAYOFMONTH"),
-394            exp.DayOfWeek: rename_func("DAYOFWEEK"),
-395            exp.DayOfYear: rename_func("DAYOFYEAR"),
-396            exp.GroupConcat: lambda self, e: f"""GROUP_CONCAT({self.sql(e, "this")} SEPARATOR {self.sql(e, "separator") or "','"})""",
-397            exp.ILike: no_ilike_sql,
-398            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-399            exp.Max: max_or_greatest,
-400            exp.Min: min_or_least,
-401            exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"),
-402            exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")),
-403            exp.Pivot: no_pivot_sql,
-404            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-405            exp.StrPosition: strposition_to_locate_sql,
-406            exp.StrToDate: _str_to_date_sql,
-407            exp.StrToTime: _str_to_date_sql,
-408            exp.TableSample: no_tablesample_sql,
-409            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
-410            exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)),
-411            exp.Trim: _trim_sql,
-412            exp.TryCast: no_trycast_sql,
-413            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
-414        }
-415
-416        TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy()
-417        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT)
-418        TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT)
-419        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB)
-420        TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB)
-421
-422        PROPERTIES_LOCATION = {
-423            **generator.Generator.PROPERTIES_LOCATION,
-424            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
-425            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-426        }
-427
-428        LIMIT_FETCH = "LIMIT"
-429
-430        def show_sql(self, expression: exp.Show) -> str:
-431            this = f" {expression.name}"
-432            full = " FULL" if expression.args.get("full") else ""
-433            global_ = " GLOBAL" if expression.args.get("global") else ""
+            
    386    class Generator(generator.Generator):
+387        LOCKING_READS_SUPPORTED = True
+388        NULL_ORDERING_SUPPORTED = False
+389        JOIN_HINTS = False
+390        TABLE_HINTS = False
+391
+392        TRANSFORMS = {
+393            **generator.Generator.TRANSFORMS,
+394            exp.CurrentDate: no_paren_current_date_sql,
+395            exp.DateDiff: lambda self, e: self.func("DATEDIFF", e.this, e.expression),
+396            exp.DateAdd: _date_add_sql("ADD"),
+397            exp.DateStrToDate: datestrtodate_sql,
+398            exp.DateSub: _date_add_sql("SUB"),
+399            exp.DateTrunc: _date_trunc_sql,
+400            exp.DayOfMonth: rename_func("DAYOFMONTH"),
+401            exp.DayOfWeek: rename_func("DAYOFWEEK"),
+402            exp.DayOfYear: rename_func("DAYOFYEAR"),
+403            exp.GroupConcat: lambda self, e: f"""GROUP_CONCAT({self.sql(e, "this")} SEPARATOR {self.sql(e, "separator") or "','"})""",
+404            exp.ILike: no_ilike_sql,
+405            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+406            exp.Max: max_or_greatest,
+407            exp.Min: min_or_least,
+408            exp.NullSafeEQ: lambda self, e: self.binary(e, "<=>"),
+409            exp.NullSafeNEQ: lambda self, e: self.not_sql(self.binary(e, "<=>")),
+410            exp.Pivot: no_pivot_sql,
+411            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+412            exp.StrPosition: strposition_to_locate_sql,
+413            exp.StrToDate: _str_to_date_sql,
+414            exp.StrToTime: _str_to_date_sql,
+415            exp.TableSample: no_tablesample_sql,
+416            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
+417            exp.TimeToStr: lambda self, e: self.func("DATE_FORMAT", e.this, self.format_time(e)),
+418            exp.Trim: _trim_sql,
+419            exp.TryCast: no_trycast_sql,
+420            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
+421        }
+422
+423        TYPE_MAPPING = generator.Generator.TYPE_MAPPING.copy()
+424        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMTEXT)
+425        TYPE_MAPPING.pop(exp.DataType.Type.LONGTEXT)
+426        TYPE_MAPPING.pop(exp.DataType.Type.MEDIUMBLOB)
+427        TYPE_MAPPING.pop(exp.DataType.Type.LONGBLOB)
+428
+429        PROPERTIES_LOCATION = {
+430            **generator.Generator.PROPERTIES_LOCATION,
+431            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
+432            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+433        }
 434
-435            target = self.sql(expression, "target")
-436            target = f" {target}" if target else ""
-437            if expression.name in {"COLUMNS", "INDEX"}:
-438                target = f" FROM{target}"
-439            elif expression.name == "GRANTS":
-440                target = f" FOR{target}"
+435        LIMIT_FETCH = "LIMIT"
+436
+437        def show_sql(self, expression: exp.Show) -> str:
+438            this = f" {expression.name}"
+439            full = " FULL" if expression.args.get("full") else ""
+440            global_ = " GLOBAL" if expression.args.get("global") else ""
 441
-442            db = self._prefixed_sql("FROM", expression, "db")
-443
-444            like = self._prefixed_sql("LIKE", expression, "like")
-445            where = self.sql(expression, "where")
-446
-447            types = self.expressions(expression, key="types")
-448            types = f" {types}" if types else types
-449            query = self._prefixed_sql("FOR QUERY", expression, "query")
+442            target = self.sql(expression, "target")
+443            target = f" {target}" if target else ""
+444            if expression.name in {"COLUMNS", "INDEX"}:
+445                target = f" FROM{target}"
+446            elif expression.name == "GRANTS":
+447                target = f" FOR{target}"
+448
+449            db = self._prefixed_sql("FROM", expression, "db")
 450
-451            if expression.name == "PROFILE":
-452                offset = self._prefixed_sql("OFFSET", expression, "offset")
-453                limit = self._prefixed_sql("LIMIT", expression, "limit")
-454            else:
-455                offset = ""
-456                limit = self._oldstyle_limit_sql(expression)
+451            like = self._prefixed_sql("LIKE", expression, "like")
+452            where = self.sql(expression, "where")
+453
+454            types = self.expressions(expression, key="types")
+455            types = f" {types}" if types else types
+456            query = self._prefixed_sql("FOR QUERY", expression, "query")
 457
-458            log = self._prefixed_sql("IN", expression, "log")
-459            position = self._prefixed_sql("FROM", expression, "position")
-460
-461            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
-462
-463            if expression.name == "ENGINE":
-464                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
-465            else:
-466                mutex_or_status = ""
+458            if expression.name == "PROFILE":
+459                offset = self._prefixed_sql("OFFSET", expression, "offset")
+460                limit = self._prefixed_sql("LIMIT", expression, "limit")
+461            else:
+462                offset = ""
+463                limit = self._oldstyle_limit_sql(expression)
+464
+465            log = self._prefixed_sql("IN", expression, "log")
+466            position = self._prefixed_sql("FROM", expression, "position")
 467
-468            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
+468            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
 469
-470        def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str:
-471            sql = self.sql(expression, arg)
-472            if not sql:
-473                return ""
-474            return f" {prefix} {sql}"
-475
-476        def _oldstyle_limit_sql(self, expression: exp.Show) -> str:
-477            limit = self.sql(expression, "limit")
-478            offset = self.sql(expression, "offset")
-479            if limit:
-480                limit_offset = f"{offset}, {limit}" if offset else limit
-481                return f" LIMIT {limit_offset}"
-482            return ""
+470            if expression.name == "ENGINE":
+471                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
+472            else:
+473                mutex_or_status = ""
+474
+475            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
+476
+477        def _prefixed_sql(self, prefix: str, expression: exp.Expression, arg: str) -> str:
+478            sql = self.sql(expression, arg)
+479            if not sql:
+480                return ""
+481            return f" {prefix} {sql}"
+482
+483        def _oldstyle_limit_sql(self, expression: exp.Show) -> str:
+484            limit = self.sql(expression, "limit")
+485            offset = self.sql(expression, "offset")
+486            if limit:
+487                limit_offset = f"{offset}, {limit}" if offset else limit
+488                return f" LIMIT {limit_offset}"
+489            return ""
 
    
 
 
@@ -1470,6 +1487,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1512,45 +1531,45 @@ 
    Arguments:
    
 
     
    
     
-            
    430        def show_sql(self, expression: exp.Show) -> str:
-431            this = f" {expression.name}"
-432            full = " FULL" if expression.args.get("full") else ""
-433            global_ = " GLOBAL" if expression.args.get("global") else ""
-434
-435            target = self.sql(expression, "target")
-436            target = f" {target}" if target else ""
-437            if expression.name in {"COLUMNS", "INDEX"}:
-438                target = f" FROM{target}"
-439            elif expression.name == "GRANTS":
-440                target = f" FOR{target}"
+            
    437        def show_sql(self, expression: exp.Show) -> str:
+438            this = f" {expression.name}"
+439            full = " FULL" if expression.args.get("full") else ""
+440            global_ = " GLOBAL" if expression.args.get("global") else ""
 441
-442            db = self._prefixed_sql("FROM", expression, "db")
-443
-444            like = self._prefixed_sql("LIKE", expression, "like")
-445            where = self.sql(expression, "where")
-446
-447            types = self.expressions(expression, key="types")
-448            types = f" {types}" if types else types
-449            query = self._prefixed_sql("FOR QUERY", expression, "query")
+442            target = self.sql(expression, "target")
+443            target = f" {target}" if target else ""
+444            if expression.name in {"COLUMNS", "INDEX"}:
+445                target = f" FROM{target}"
+446            elif expression.name == "GRANTS":
+447                target = f" FOR{target}"
+448
+449            db = self._prefixed_sql("FROM", expression, "db")
 450
-451            if expression.name == "PROFILE":
-452                offset = self._prefixed_sql("OFFSET", expression, "offset")
-453                limit = self._prefixed_sql("LIMIT", expression, "limit")
-454            else:
-455                offset = ""
-456                limit = self._oldstyle_limit_sql(expression)
+451            like = self._prefixed_sql("LIKE", expression, "like")
+452            where = self.sql(expression, "where")
+453
+454            types = self.expressions(expression, key="types")
+455            types = f" {types}" if types else types
+456            query = self._prefixed_sql("FOR QUERY", expression, "query")
 457
-458            log = self._prefixed_sql("IN", expression, "log")
-459            position = self._prefixed_sql("FROM", expression, "position")
-460
-461            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
-462
-463            if expression.name == "ENGINE":
-464                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
-465            else:
-466                mutex_or_status = ""
+458            if expression.name == "PROFILE":
+459                offset = self._prefixed_sql("OFFSET", expression, "offset")
+460                limit = self._prefixed_sql("LIMIT", expression, "limit")
+461            else:
+462                offset = ""
+463                limit = self._oldstyle_limit_sql(expression)
+464
+465            log = self._prefixed_sql("IN", expression, "log")
+466            position = self._prefixed_sql("FROM", expression, "position")
 467
-468            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
+468            channel = self._prefixed_sql("FOR CHANNEL", expression, "channel")
+469
+470            if expression.name == "ENGINE":
+471                mutex_or_status = " MUTEX" if expression.args.get("mutex") else " STATUS"
+472            else:
+473                mutex_or_status = ""
+474
+475            return f"SHOW{full}{global_}{this}{target}{types}{db}{query}{log}{position}{channel}{mutex_or_status}{like}{where}{offset}{limit}"
 
    
 
 
@@ -1596,6 +1615,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/oracle.html b/docs/sqlglot/dialects/oracle.html
index f199d8269c..347cb9f56b 100644
--- a/docs/sqlglot/dialects/oracle.html
+++ b/docs/sqlglot/dialects/oracle.html
@@ -96,7 +96,7 @@ 
    
   8from sqlglot.tokens import TokenType
   9
  10
- 11def _parse_xml_table(self) -> exp.XMLTable:
+ 11def _parse_xml_table(self: parser.Parser) -> exp.XMLTable:
  12    this = self._parse_string()
  13
  14    passing = None
@@ -655,6 +655,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -790,6 +792,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/postgres.html b/docs/sqlglot/dialects/postgres.html
index ca6e24292a..4d6a431066 100644
--- a/docs/sqlglot/dialects/postgres.html
+++ b/docs/sqlglot/dialects/postgres.html
@@ -113,8 +113,8 @@ 
    
  34}
  35
  36
- 37def _date_add_sql(kind):
- 38    def func(self, expression):
+ 37def _date_add_sql(kind: str) -> t.Callable[[generator.Generator, exp.DateAdd | exp.DateSub], str]:
+ 38    def func(self: generator.Generator, expression: exp.DateAdd | exp.DateSub) -> str:
  39        from sqlglot.optimizer.simplify import simplify
  40
  41        this = self.sql(expression, "this")
@@ -131,7 +131,7 @@ 
    
  52    return func
  53
  54
- 55def _date_diff_sql(self, expression):
+ 55def _date_diff_sql(self: generator.Generator, expression: exp.DateDiff) -> str:
  56    unit = expression.text("unit").upper()
  57    factor = DATE_DIFF_FACTOR.get(unit)
  58
@@ -157,7 +157,7 @@ 
    
  78    return f"CAST({unit} AS BIGINT)"
  79
  80
- 81def _substring_sql(self, expression):
+ 81def _substring_sql(self: generator.Generator, expression: exp.Substring) -> str:
  82    this = self.sql(expression, "this")
  83    start = self.sql(expression, "start")
  84    length = self.sql(expression, "length")
@@ -168,7 +168,7 @@ 
    
  89    return f"SUBSTRING({this}{from_part}{for_part})"
  90
  91
- 92def _string_agg_sql(self, expression):
+ 92def _string_agg_sql(self: generator.Generator, expression: exp.GroupConcat) -> str:
  93    expression = expression.copy()
  94    separator = expression.args.get("separator") or exp.Literal.string(",")
  95
@@ -182,13 +182,13 @@ 
    
 103    return f"STRING_AGG({self.format_args(this, separator)}{order})"
 104
 105
-106def _datatype_sql(self, expression):
+106def _datatype_sql(self: generator.Generator, expression: exp.DataType) -> str:
 107    if expression.this == exp.DataType.Type.ARRAY:
 108        return f"{self.expressions(expression, flat=True)}[]"
 109    return self.datatype_sql(expression)
 110
 111
-112def _auto_increment_to_serial(expression):
+112def _auto_increment_to_serial(expression: exp.Expression) -> exp.Expression:
 113    auto = expression.find(exp.AutoIncrementColumnConstraint)
 114
 115    if auto:
@@ -206,7 +206,7 @@ 
    
 127    return expression
 128
 129
-130def _serial_to_generated(expression):
+130def _serial_to_generated(expression: exp.Expression) -> exp.Expression:
 131    kind = expression.args["kind"]
 132
 133    if kind.this == exp.DataType.Type.SERIAL:
@@ -224,236 +224,233 @@ 
    
 145        constraints = expression.args["constraints"]
 146        generated = exp.ColumnConstraint(kind=exp.GeneratedAsIdentityColumnConstraint(this=False))
 147        notnull = exp.ColumnConstraint(kind=exp.NotNullColumnConstraint())
-148        if notnull not in constraints:
-149            constraints.insert(0, notnull)
-150        if generated not in constraints:
-151            constraints.insert(0, generated)
-152
-153    return expression
-154
+148
+149        if notnull not in constraints:
+150            constraints.insert(0, notnull)
+151        if generated not in constraints:
+152            constraints.insert(0, generated)
+153
+154    return expression
 155
-156def _generate_series(args):
-157    # The goal is to convert step values like '1 day' or INTERVAL '1 day' into INTERVAL '1' day
-158    step = seq_get(args, 2)
-159
-160    if step is None:
-161        # Postgres allows calls with just two arguments -- the "step" argument defaults to 1
-162        return exp.GenerateSeries.from_arg_list(args)
-163
-164    if step.is_string:
-165        args[2] = exp.to_interval(step.this)
-166    elif isinstance(step, exp.Interval) and not step.args.get("unit"):
-167        args[2] = exp.to_interval(step.this.this)
-168
-169    return exp.GenerateSeries.from_arg_list(args)
-170
+156
+157def _generate_series(args: t.List) -> exp.Expression:
+158    # The goal is to convert step values like '1 day' or INTERVAL '1 day' into INTERVAL '1' day
+159    step = seq_get(args, 2)
+160
+161    if step is None:
+162        # Postgres allows calls with just two arguments -- the "step" argument defaults to 1
+163        return exp.GenerateSeries.from_arg_list(args)
+164
+165    if step.is_string:
+166        args[2] = exp.to_interval(step.this)
+167    elif isinstance(step, exp.Interval) and not step.args.get("unit"):
+168        args[2] = exp.to_interval(step.this.this)
+169
+170    return exp.GenerateSeries.from_arg_list(args)
 171
-172def _to_timestamp(args):
-173    # TO_TIMESTAMP accepts either a single double argument or (text, text)
-174    if len(args) == 1:
-175        # https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-TABLE
-176        return exp.UnixToTime.from_arg_list(args)
-177    # https://www.postgresql.org/docs/current/functions-formatting.html
-178    return format_time_lambda(exp.StrToTime, "postgres")(args)
-179
-180
-181class Postgres(Dialect):
-182    null_ordering = "nulls_are_large"
-183    time_format = "'YYYY-MM-DD HH24:MI:SS'"
-184    time_mapping = {
-185        "AM": "%p",
-186        "PM": "%p",
-187        "D": "%u",  # 1-based day of week
-188        "DD": "%d",  # day of month
-189        "DDD": "%j",  # zero padded day of year
-190        "FMDD": "%-d",  # - is no leading zero for Python; same for FM in postgres
-191        "FMDDD": "%-j",  # day of year
-192        "FMHH12": "%-I",  # 9
-193        "FMHH24": "%-H",  # 9
-194        "FMMI": "%-M",  # Minute
-195        "FMMM": "%-m",  # 1
-196        "FMSS": "%-S",  # Second
-197        "HH12": "%I",  # 09
-198        "HH24": "%H",  # 09
-199        "MI": "%M",  # zero padded minute
-200        "MM": "%m",  # 01
-201        "OF": "%z",  # utc offset
-202        "SS": "%S",  # zero padded second
-203        "TMDay": "%A",  # TM is locale dependent
-204        "TMDy": "%a",
-205        "TMMon": "%b",  # Sep
-206        "TMMonth": "%B",  # September
-207        "TZ": "%Z",  # uppercase timezone name
-208        "US": "%f",  # zero padded microsecond
-209        "WW": "%U",  # 1-based week of year
-210        "YY": "%y",  # 15
-211        "YYYY": "%Y",  # 2015
-212    }
-213
-214    class Tokenizer(tokens.Tokenizer):
-215        QUOTES = ["'", "$$"]
-216
-217        BIT_STRINGS = [("b'", "'"), ("B'", "'")]
-218        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
-219        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
-220
-221        KEYWORDS = {
-222            **tokens.Tokenizer.KEYWORDS,
-223            "~~": TokenType.LIKE,
-224            "~~*": TokenType.ILIKE,
-225            "~*": TokenType.IRLIKE,
-226            "~": TokenType.RLIKE,
-227            "@>": TokenType.AT_GT,
-228            "<@": TokenType.LT_AT,
-229            "BEGIN": TokenType.COMMAND,
-230            "BEGIN TRANSACTION": TokenType.BEGIN,
-231            "BIGSERIAL": TokenType.BIGSERIAL,
-232            "CHARACTER VARYING": TokenType.VARCHAR,
-233            "DECLARE": TokenType.COMMAND,
-234            "DO": TokenType.COMMAND,
-235            "HSTORE": TokenType.HSTORE,
-236            "JSONB": TokenType.JSONB,
-237            "REFRESH": TokenType.COMMAND,
-238            "REINDEX": TokenType.COMMAND,
-239            "RESET": TokenType.COMMAND,
-240            "RETURNING": TokenType.RETURNING,
-241            "REVOKE": TokenType.COMMAND,
-242            "SERIAL": TokenType.SERIAL,
-243            "SMALLSERIAL": TokenType.SMALLSERIAL,
-244            "TEMP": TokenType.TEMPORARY,
-245            "CSTRING": TokenType.PSEUDO_TYPE,
-246        }
-247
-248        SINGLE_TOKENS = {
-249            **tokens.Tokenizer.SINGLE_TOKENS,
-250            "$": TokenType.PARAMETER,
-251        }
-252
-253        VAR_SINGLE_TOKENS = {"$"}
+172
+173def _to_timestamp(args: t.List) -> exp.Expression:
+174    # TO_TIMESTAMP accepts either a single double argument or (text, text)
+175    if len(args) == 1:
+176        # https://www.postgresql.org/docs/current/functions-datetime.html#FUNCTIONS-DATETIME-TABLE
+177        return exp.UnixToTime.from_arg_list(args)
+178
+179    # https://www.postgresql.org/docs/current/functions-formatting.html
+180    return format_time_lambda(exp.StrToTime, "postgres")(args)
+181
+182
+183class Postgres(Dialect):
+184    null_ordering = "nulls_are_large"
+185    time_format = "'YYYY-MM-DD HH24:MI:SS'"
+186    time_mapping = {
+187        "AM": "%p",
+188        "PM": "%p",
+189        "D": "%u",  # 1-based day of week
+190        "DD": "%d",  # day of month
+191        "DDD": "%j",  # zero padded day of year
+192        "FMDD": "%-d",  # - is no leading zero for Python; same for FM in postgres
+193        "FMDDD": "%-j",  # day of year
+194        "FMHH12": "%-I",  # 9
+195        "FMHH24": "%-H",  # 9
+196        "FMMI": "%-M",  # Minute
+197        "FMMM": "%-m",  # 1
+198        "FMSS": "%-S",  # Second
+199        "HH12": "%I",  # 09
+200        "HH24": "%H",  # 09
+201        "MI": "%M",  # zero padded minute
+202        "MM": "%m",  # 01
+203        "OF": "%z",  # utc offset
+204        "SS": "%S",  # zero padded second
+205        "TMDay": "%A",  # TM is locale dependent
+206        "TMDy": "%a",
+207        "TMMon": "%b",  # Sep
+208        "TMMonth": "%B",  # September
+209        "TZ": "%Z",  # uppercase timezone name
+210        "US": "%f",  # zero padded microsecond
+211        "WW": "%U",  # 1-based week of year
+212        "YY": "%y",  # 15
+213        "YYYY": "%Y",  # 2015
+214    }
+215
+216    class Tokenizer(tokens.Tokenizer):
+217        QUOTES = ["'", "$$"]
+218
+219        BIT_STRINGS = [("b'", "'"), ("B'", "'")]
+220        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
+221        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
+222
+223        KEYWORDS = {
+224            **tokens.Tokenizer.KEYWORDS,
+225            "~~": TokenType.LIKE,
+226            "~~*": TokenType.ILIKE,
+227            "~*": TokenType.IRLIKE,
+228            "~": TokenType.RLIKE,
+229            "@>": TokenType.AT_GT,
+230            "<@": TokenType.LT_AT,
+231            "BEGIN": TokenType.COMMAND,
+232            "BEGIN TRANSACTION": TokenType.BEGIN,
+233            "BIGSERIAL": TokenType.BIGSERIAL,
+234            "CHARACTER VARYING": TokenType.VARCHAR,
+235            "DECLARE": TokenType.COMMAND,
+236            "DO": TokenType.COMMAND,
+237            "HSTORE": TokenType.HSTORE,
+238            "JSONB": TokenType.JSONB,
+239            "REFRESH": TokenType.COMMAND,
+240            "REINDEX": TokenType.COMMAND,
+241            "RESET": TokenType.COMMAND,
+242            "RETURNING": TokenType.RETURNING,
+243            "REVOKE": TokenType.COMMAND,
+244            "SERIAL": TokenType.SERIAL,
+245            "SMALLSERIAL": TokenType.SMALLSERIAL,
+246            "TEMP": TokenType.TEMPORARY,
+247            "CSTRING": TokenType.PSEUDO_TYPE,
+248        }
+249
+250        SINGLE_TOKENS = {
+251            **tokens.Tokenizer.SINGLE_TOKENS,
+252            "$": TokenType.PARAMETER,
+253        }
 254
-255    class Parser(parser.Parser):
-256        STRICT_CAST = False
-257
-258        FUNCTIONS = {
-259            **parser.Parser.FUNCTIONS,
-260            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
-261                this=seq_get(args, 1), unit=seq_get(args, 0)
-262            ),
-263            "GENERATE_SERIES": _generate_series,
-264            "NOW": exp.CurrentTimestamp.from_arg_list,
-265            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
-266            "TO_TIMESTAMP": _to_timestamp,
-267        }
-268
-269        FUNCTION_PARSERS = {
-270            **parser.Parser.FUNCTION_PARSERS,
-271            "DATE_PART": lambda self: self._parse_date_part(),
-272        }
-273
-274        BITWISE = {
-275            **parser.Parser.BITWISE,
-276            TokenType.HASH: exp.BitwiseXor,
-277        }
-278
-279        EXPONENT = {
-280            TokenType.CARET: exp.Pow,
-281        }
-282
-283        RANGE_PARSERS = {
-284            **parser.Parser.RANGE_PARSERS,
-285            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
-286            TokenType.AT_GT: binary_range_parser(exp.ArrayContains),
-287            TokenType.LT_AT: binary_range_parser(exp.ArrayContained),
-288        }
-289
-290        def _parse_factor(self) -> t.Optional[exp.Expression]:
-291            return self._parse_tokens(self._parse_exponent, self.FACTOR)
-292
-293        def _parse_exponent(self) -> t.Optional[exp.Expression]:
-294            return self._parse_tokens(self._parse_unary, self.EXPONENT)
-295
-296        def _parse_date_part(self) -> exp.Expression:
-297            part = self._parse_type()
-298            self._match(TokenType.COMMA)
-299            value = self._parse_bitwise()
-300
-301            if part and part.is_string:
-302                part = exp.Var(this=part.name)
-303
-304            return self.expression(exp.Extract, this=part, expression=value)
+255        VAR_SINGLE_TOKENS = {"$"}
+256
+257    class Parser(parser.Parser):
+258        STRICT_CAST = False
+259
+260        FUNCTIONS = {
+261            **parser.Parser.FUNCTIONS,
+262            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
+263                this=seq_get(args, 1), unit=seq_get(args, 0)
+264            ),
+265            "GENERATE_SERIES": _generate_series,
+266            "NOW": exp.CurrentTimestamp.from_arg_list,
+267            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
+268            "TO_TIMESTAMP": _to_timestamp,
+269        }
+270
+271        FUNCTION_PARSERS = {
+272            **parser.Parser.FUNCTION_PARSERS,
+273            "DATE_PART": lambda self: self._parse_date_part(),
+274        }
+275
+276        BITWISE = {
+277            **parser.Parser.BITWISE,
+278            TokenType.HASH: exp.BitwiseXor,
+279        }
+280
+281        EXPONENT = {
+282            TokenType.CARET: exp.Pow,
+283        }
+284
+285        RANGE_PARSERS = {
+286            **parser.Parser.RANGE_PARSERS,
+287            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
+288            TokenType.AT_GT: binary_range_parser(exp.ArrayContains),
+289            TokenType.LT_AT: binary_range_parser(exp.ArrayContained),
+290        }
+291
+292        def _parse_factor(self) -> t.Optional[exp.Expression]:
+293            return self._parse_tokens(self._parse_exponent, self.FACTOR)
+294
+295        def _parse_exponent(self) -> t.Optional[exp.Expression]:
+296            return self._parse_tokens(self._parse_unary, self.EXPONENT)
+297
+298        def _parse_date_part(self) -> exp.Expression:
+299            part = self._parse_type()
+300            self._match(TokenType.COMMA)
+301            value = self._parse_bitwise()
+302
+303            if part and part.is_string:
+304                part = exp.Var(this=part.name)
 305
-306    class Generator(generator.Generator):
-307        SINGLE_STRING_INTERVAL = True
-308        LOCKING_READS_SUPPORTED = True
-309        JOIN_HINTS = False
-310        TABLE_HINTS = False
-311        PARAMETER_TOKEN = "$"
-312
-313        TYPE_MAPPING = {
-314            **generator.Generator.TYPE_MAPPING,
-315            exp.DataType.Type.TINYINT: "SMALLINT",
-316            exp.DataType.Type.FLOAT: "REAL",
-317            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
-318            exp.DataType.Type.BINARY: "BYTEA",
-319            exp.DataType.Type.VARBINARY: "BYTEA",
-320            exp.DataType.Type.DATETIME: "TIMESTAMP",
-321        }
-322
-323        TRANSFORMS = {
-324            **generator.Generator.TRANSFORMS,
-325            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
-326            exp.ColumnDef: transforms.preprocess(
-327                [
-328                    _auto_increment_to_serial,
-329                    _serial_to_generated,
-330                ],
-331            ),
-332            exp.JSONExtract: arrow_json_extract_sql,
-333            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-334            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
-335            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
-336            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
-337            exp.Pow: lambda self, e: self.binary(e, "^"),
-338            exp.CurrentDate: no_paren_current_date_sql,
-339            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
-340            exp.DateAdd: _date_add_sql("+"),
-341            exp.DateStrToDate: datestrtodate_sql,
-342            exp.DateSub: _date_add_sql("-"),
-343            exp.DateDiff: _date_diff_sql,
-344            exp.LogicalOr: rename_func("BOOL_OR"),
-345            exp.LogicalAnd: rename_func("BOOL_AND"),
-346            exp.Max: max_or_greatest,
-347            exp.Min: min_or_least,
-348            exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"),
-349            exp.ArrayContains: lambda self, e: self.binary(e, "@>"),
-350            exp.ArrayContained: lambda self, e: self.binary(e, "<@"),
-351            exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]),
-352            exp.Pivot: no_pivot_sql,
-353            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
-354            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
-355            exp.StrPosition: str_position_sql,
-356            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
-357            exp.Substring: _substring_sql,
-358            exp.TimestampTrunc: timestamptrunc_sql,
-359            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
-360            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
-361            exp.TableSample: no_tablesample_sql,
-362            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
-363            exp.Trim: trim_sql,
-364            exp.TryCast: no_trycast_sql,
-365            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
-366            exp.DataType: _datatype_sql,
-367            exp.GroupConcat: _string_agg_sql,
-368            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
-369            if isinstance(seq_get(e.expressions, 0), exp.Select)
-370            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
-371        }
-372
-373        PROPERTIES_LOCATION = {
-374            **generator.Generator.PROPERTIES_LOCATION,
-375            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
-376            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-377        }
+306            return self.expression(exp.Extract, this=part, expression=value)
+307
+308    class Generator(generator.Generator):
+309        SINGLE_STRING_INTERVAL = True
+310        LOCKING_READS_SUPPORTED = True
+311        JOIN_HINTS = False
+312        TABLE_HINTS = False
+313        PARAMETER_TOKEN = "$"
+314
+315        TYPE_MAPPING = {
+316            **generator.Generator.TYPE_MAPPING,
+317            exp.DataType.Type.TINYINT: "SMALLINT",
+318            exp.DataType.Type.FLOAT: "REAL",
+319            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
+320            exp.DataType.Type.BINARY: "BYTEA",
+321            exp.DataType.Type.VARBINARY: "BYTEA",
+322            exp.DataType.Type.DATETIME: "TIMESTAMP",
+323        }
+324
+325        TRANSFORMS = {
+326            **generator.Generator.TRANSFORMS,
+327            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
+328            exp.ColumnDef: transforms.preprocess([_auto_increment_to_serial, _serial_to_generated]),
+329            exp.JSONExtract: arrow_json_extract_sql,
+330            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+331            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
+332            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
+333            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
+334            exp.Pow: lambda self, e: self.binary(e, "^"),
+335            exp.CurrentDate: no_paren_current_date_sql,
+336            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
+337            exp.DateAdd: _date_add_sql("+"),
+338            exp.DateStrToDate: datestrtodate_sql,
+339            exp.DateSub: _date_add_sql("-"),
+340            exp.DateDiff: _date_diff_sql,
+341            exp.LogicalOr: rename_func("BOOL_OR"),
+342            exp.LogicalAnd: rename_func("BOOL_AND"),
+343            exp.Max: max_or_greatest,
+344            exp.Min: min_or_least,
+345            exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"),
+346            exp.ArrayContains: lambda self, e: self.binary(e, "@>"),
+347            exp.ArrayContained: lambda self, e: self.binary(e, "<@"),
+348            exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]),
+349            exp.Pivot: no_pivot_sql,
+350            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
+351            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
+352            exp.StrPosition: str_position_sql,
+353            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
+354            exp.Substring: _substring_sql,
+355            exp.TimestampTrunc: timestamptrunc_sql,
+356            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
+357            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
+358            exp.TableSample: no_tablesample_sql,
+359            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
+360            exp.Trim: trim_sql,
+361            exp.TryCast: no_trycast_sql,
+362            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
+363            exp.DataType: _datatype_sql,
+364            exp.GroupConcat: _string_agg_sql,
+365            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
+366            if isinstance(seq_get(e.expressions, 0), exp.Select)
+367            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
+368        }
+369
+370        PROPERTIES_LOCATION = {
+371            **generator.Generator.PROPERTIES_LOCATION,
+372            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
+373            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+374        }
 
    
 
 
@@ -469,203 +466,198 @@ 
    
 
     
    
     
-            
    182class Postgres(Dialect):
-183    null_ordering = "nulls_are_large"
-184    time_format = "'YYYY-MM-DD HH24:MI:SS'"
-185    time_mapping = {
-186        "AM": "%p",
-187        "PM": "%p",
-188        "D": "%u",  # 1-based day of week
-189        "DD": "%d",  # day of month
-190        "DDD": "%j",  # zero padded day of year
-191        "FMDD": "%-d",  # - is no leading zero for Python; same for FM in postgres
-192        "FMDDD": "%-j",  # day of year
-193        "FMHH12": "%-I",  # 9
-194        "FMHH24": "%-H",  # 9
-195        "FMMI": "%-M",  # Minute
-196        "FMMM": "%-m",  # 1
-197        "FMSS": "%-S",  # Second
-198        "HH12": "%I",  # 09
-199        "HH24": "%H",  # 09
-200        "MI": "%M",  # zero padded minute
-201        "MM": "%m",  # 01
-202        "OF": "%z",  # utc offset
-203        "SS": "%S",  # zero padded second
-204        "TMDay": "%A",  # TM is locale dependent
-205        "TMDy": "%a",
-206        "TMMon": "%b",  # Sep
-207        "TMMonth": "%B",  # September
-208        "TZ": "%Z",  # uppercase timezone name
-209        "US": "%f",  # zero padded microsecond
-210        "WW": "%U",  # 1-based week of year
-211        "YY": "%y",  # 15
-212        "YYYY": "%Y",  # 2015
-213    }
-214
-215    class Tokenizer(tokens.Tokenizer):
-216        QUOTES = ["'", "$$"]
-217
-218        BIT_STRINGS = [("b'", "'"), ("B'", "'")]
-219        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
-220        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
-221
-222        KEYWORDS = {
-223            **tokens.Tokenizer.KEYWORDS,
-224            "~~": TokenType.LIKE,
-225            "~~*": TokenType.ILIKE,
-226            "~*": TokenType.IRLIKE,
-227            "~": TokenType.RLIKE,
-228            "@>": TokenType.AT_GT,
-229            "<@": TokenType.LT_AT,
-230            "BEGIN": TokenType.COMMAND,
-231            "BEGIN TRANSACTION": TokenType.BEGIN,
-232            "BIGSERIAL": TokenType.BIGSERIAL,
-233            "CHARACTER VARYING": TokenType.VARCHAR,
-234            "DECLARE": TokenType.COMMAND,
-235            "DO": TokenType.COMMAND,
-236            "HSTORE": TokenType.HSTORE,
-237            "JSONB": TokenType.JSONB,
-238            "REFRESH": TokenType.COMMAND,
-239            "REINDEX": TokenType.COMMAND,
-240            "RESET": TokenType.COMMAND,
-241            "RETURNING": TokenType.RETURNING,
-242            "REVOKE": TokenType.COMMAND,
-243            "SERIAL": TokenType.SERIAL,
-244            "SMALLSERIAL": TokenType.SMALLSERIAL,
-245            "TEMP": TokenType.TEMPORARY,
-246            "CSTRING": TokenType.PSEUDO_TYPE,
-247        }
-248
-249        SINGLE_TOKENS = {
-250            **tokens.Tokenizer.SINGLE_TOKENS,
-251            "$": TokenType.PARAMETER,
-252        }
-253
-254        VAR_SINGLE_TOKENS = {"$"}
+            
    184class Postgres(Dialect):
+185    null_ordering = "nulls_are_large"
+186    time_format = "'YYYY-MM-DD HH24:MI:SS'"
+187    time_mapping = {
+188        "AM": "%p",
+189        "PM": "%p",
+190        "D": "%u",  # 1-based day of week
+191        "DD": "%d",  # day of month
+192        "DDD": "%j",  # zero padded day of year
+193        "FMDD": "%-d",  # - is no leading zero for Python; same for FM in postgres
+194        "FMDDD": "%-j",  # day of year
+195        "FMHH12": "%-I",  # 9
+196        "FMHH24": "%-H",  # 9
+197        "FMMI": "%-M",  # Minute
+198        "FMMM": "%-m",  # 1
+199        "FMSS": "%-S",  # Second
+200        "HH12": "%I",  # 09
+201        "HH24": "%H",  # 09
+202        "MI": "%M",  # zero padded minute
+203        "MM": "%m",  # 01
+204        "OF": "%z",  # utc offset
+205        "SS": "%S",  # zero padded second
+206        "TMDay": "%A",  # TM is locale dependent
+207        "TMDy": "%a",
+208        "TMMon": "%b",  # Sep
+209        "TMMonth": "%B",  # September
+210        "TZ": "%Z",  # uppercase timezone name
+211        "US": "%f",  # zero padded microsecond
+212        "WW": "%U",  # 1-based week of year
+213        "YY": "%y",  # 15
+214        "YYYY": "%Y",  # 2015
+215    }
+216
+217    class Tokenizer(tokens.Tokenizer):
+218        QUOTES = ["'", "$$"]
+219
+220        BIT_STRINGS = [("b'", "'"), ("B'", "'")]
+221        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
+222        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
+223
+224        KEYWORDS = {
+225            **tokens.Tokenizer.KEYWORDS,
+226            "~~": TokenType.LIKE,
+227            "~~*": TokenType.ILIKE,
+228            "~*": TokenType.IRLIKE,
+229            "~": TokenType.RLIKE,
+230            "@>": TokenType.AT_GT,
+231            "<@": TokenType.LT_AT,
+232            "BEGIN": TokenType.COMMAND,
+233            "BEGIN TRANSACTION": TokenType.BEGIN,
+234            "BIGSERIAL": TokenType.BIGSERIAL,
+235            "CHARACTER VARYING": TokenType.VARCHAR,
+236            "DECLARE": TokenType.COMMAND,
+237            "DO": TokenType.COMMAND,
+238            "HSTORE": TokenType.HSTORE,
+239            "JSONB": TokenType.JSONB,
+240            "REFRESH": TokenType.COMMAND,
+241            "REINDEX": TokenType.COMMAND,
+242            "RESET": TokenType.COMMAND,
+243            "RETURNING": TokenType.RETURNING,
+244            "REVOKE": TokenType.COMMAND,
+245            "SERIAL": TokenType.SERIAL,
+246            "SMALLSERIAL": TokenType.SMALLSERIAL,
+247            "TEMP": TokenType.TEMPORARY,
+248            "CSTRING": TokenType.PSEUDO_TYPE,
+249        }
+250
+251        SINGLE_TOKENS = {
+252            **tokens.Tokenizer.SINGLE_TOKENS,
+253            "$": TokenType.PARAMETER,
+254        }
 255
-256    class Parser(parser.Parser):
-257        STRICT_CAST = False
-258
-259        FUNCTIONS = {
-260            **parser.Parser.FUNCTIONS,
-261            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
-262                this=seq_get(args, 1), unit=seq_get(args, 0)
-263            ),
-264            "GENERATE_SERIES": _generate_series,
-265            "NOW": exp.CurrentTimestamp.from_arg_list,
-266            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
-267            "TO_TIMESTAMP": _to_timestamp,
-268        }
-269
-270        FUNCTION_PARSERS = {
-271            **parser.Parser.FUNCTION_PARSERS,
-272            "DATE_PART": lambda self: self._parse_date_part(),
-273        }
-274
-275        BITWISE = {
-276            **parser.Parser.BITWISE,
-277            TokenType.HASH: exp.BitwiseXor,
-278        }
-279
-280        EXPONENT = {
-281            TokenType.CARET: exp.Pow,
-282        }
-283
-284        RANGE_PARSERS = {
-285            **parser.Parser.RANGE_PARSERS,
-286            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
-287            TokenType.AT_GT: binary_range_parser(exp.ArrayContains),
-288            TokenType.LT_AT: binary_range_parser(exp.ArrayContained),
-289        }
-290
-291        def _parse_factor(self) -> t.Optional[exp.Expression]:
-292            return self._parse_tokens(self._parse_exponent, self.FACTOR)
-293
-294        def _parse_exponent(self) -> t.Optional[exp.Expression]:
-295            return self._parse_tokens(self._parse_unary, self.EXPONENT)
-296
-297        def _parse_date_part(self) -> exp.Expression:
-298            part = self._parse_type()
-299            self._match(TokenType.COMMA)
-300            value = self._parse_bitwise()
-301
-302            if part and part.is_string:
-303                part = exp.Var(this=part.name)
-304
-305            return self.expression(exp.Extract, this=part, expression=value)
+256        VAR_SINGLE_TOKENS = {"$"}
+257
+258    class Parser(parser.Parser):
+259        STRICT_CAST = False
+260
+261        FUNCTIONS = {
+262            **parser.Parser.FUNCTIONS,
+263            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
+264                this=seq_get(args, 1), unit=seq_get(args, 0)
+265            ),
+266            "GENERATE_SERIES": _generate_series,
+267            "NOW": exp.CurrentTimestamp.from_arg_list,
+268            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
+269            "TO_TIMESTAMP": _to_timestamp,
+270        }
+271
+272        FUNCTION_PARSERS = {
+273            **parser.Parser.FUNCTION_PARSERS,
+274            "DATE_PART": lambda self: self._parse_date_part(),
+275        }
+276
+277        BITWISE = {
+278            **parser.Parser.BITWISE,
+279            TokenType.HASH: exp.BitwiseXor,
+280        }
+281
+282        EXPONENT = {
+283            TokenType.CARET: exp.Pow,
+284        }
+285
+286        RANGE_PARSERS = {
+287            **parser.Parser.RANGE_PARSERS,
+288            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
+289            TokenType.AT_GT: binary_range_parser(exp.ArrayContains),
+290            TokenType.LT_AT: binary_range_parser(exp.ArrayContained),
+291        }
+292
+293        def _parse_factor(self) -> t.Optional[exp.Expression]:
+294            return self._parse_tokens(self._parse_exponent, self.FACTOR)
+295
+296        def _parse_exponent(self) -> t.Optional[exp.Expression]:
+297            return self._parse_tokens(self._parse_unary, self.EXPONENT)
+298
+299        def _parse_date_part(self) -> exp.Expression:
+300            part = self._parse_type()
+301            self._match(TokenType.COMMA)
+302            value = self._parse_bitwise()
+303
+304            if part and part.is_string:
+305                part = exp.Var(this=part.name)
 306
-307    class Generator(generator.Generator):
-308        SINGLE_STRING_INTERVAL = True
-309        LOCKING_READS_SUPPORTED = True
-310        JOIN_HINTS = False
-311        TABLE_HINTS = False
-312        PARAMETER_TOKEN = "$"
-313
-314        TYPE_MAPPING = {
-315            **generator.Generator.TYPE_MAPPING,
-316            exp.DataType.Type.TINYINT: "SMALLINT",
-317            exp.DataType.Type.FLOAT: "REAL",
-318            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
-319            exp.DataType.Type.BINARY: "BYTEA",
-320            exp.DataType.Type.VARBINARY: "BYTEA",
-321            exp.DataType.Type.DATETIME: "TIMESTAMP",
-322        }
-323
-324        TRANSFORMS = {
-325            **generator.Generator.TRANSFORMS,
-326            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
-327            exp.ColumnDef: transforms.preprocess(
-328                [
-329                    _auto_increment_to_serial,
-330                    _serial_to_generated,
-331                ],
-332            ),
-333            exp.JSONExtract: arrow_json_extract_sql,
-334            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-335            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
-336            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
-337            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
-338            exp.Pow: lambda self, e: self.binary(e, "^"),
-339            exp.CurrentDate: no_paren_current_date_sql,
-340            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
-341            exp.DateAdd: _date_add_sql("+"),
-342            exp.DateStrToDate: datestrtodate_sql,
-343            exp.DateSub: _date_add_sql("-"),
-344            exp.DateDiff: _date_diff_sql,
-345            exp.LogicalOr: rename_func("BOOL_OR"),
-346            exp.LogicalAnd: rename_func("BOOL_AND"),
-347            exp.Max: max_or_greatest,
-348            exp.Min: min_or_least,
-349            exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"),
-350            exp.ArrayContains: lambda self, e: self.binary(e, "@>"),
-351            exp.ArrayContained: lambda self, e: self.binary(e, "<@"),
-352            exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]),
-353            exp.Pivot: no_pivot_sql,
-354            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
-355            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
-356            exp.StrPosition: str_position_sql,
-357            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
-358            exp.Substring: _substring_sql,
-359            exp.TimestampTrunc: timestamptrunc_sql,
-360            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
-361            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
-362            exp.TableSample: no_tablesample_sql,
-363            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
-364            exp.Trim: trim_sql,
-365            exp.TryCast: no_trycast_sql,
-366            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
-367            exp.DataType: _datatype_sql,
-368            exp.GroupConcat: _string_agg_sql,
-369            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
-370            if isinstance(seq_get(e.expressions, 0), exp.Select)
-371            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
-372        }
-373
-374        PROPERTIES_LOCATION = {
-375            **generator.Generator.PROPERTIES_LOCATION,
-376            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
-377            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-378        }
+307            return self.expression(exp.Extract, this=part, expression=value)
+308
+309    class Generator(generator.Generator):
+310        SINGLE_STRING_INTERVAL = True
+311        LOCKING_READS_SUPPORTED = True
+312        JOIN_HINTS = False
+313        TABLE_HINTS = False
+314        PARAMETER_TOKEN = "$"
+315
+316        TYPE_MAPPING = {
+317            **generator.Generator.TYPE_MAPPING,
+318            exp.DataType.Type.TINYINT: "SMALLINT",
+319            exp.DataType.Type.FLOAT: "REAL",
+320            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
+321            exp.DataType.Type.BINARY: "BYTEA",
+322            exp.DataType.Type.VARBINARY: "BYTEA",
+323            exp.DataType.Type.DATETIME: "TIMESTAMP",
+324        }
+325
+326        TRANSFORMS = {
+327            **generator.Generator.TRANSFORMS,
+328            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
+329            exp.ColumnDef: transforms.preprocess([_auto_increment_to_serial, _serial_to_generated]),
+330            exp.JSONExtract: arrow_json_extract_sql,
+331            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+332            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
+333            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
+334            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
+335            exp.Pow: lambda self, e: self.binary(e, "^"),
+336            exp.CurrentDate: no_paren_current_date_sql,
+337            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
+338            exp.DateAdd: _date_add_sql("+"),
+339            exp.DateStrToDate: datestrtodate_sql,
+340            exp.DateSub: _date_add_sql("-"),
+341            exp.DateDiff: _date_diff_sql,
+342            exp.LogicalOr: rename_func("BOOL_OR"),
+343            exp.LogicalAnd: rename_func("BOOL_AND"),
+344            exp.Max: max_or_greatest,
+345            exp.Min: min_or_least,
+346            exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"),
+347            exp.ArrayContains: lambda self, e: self.binary(e, "@>"),
+348            exp.ArrayContained: lambda self, e: self.binary(e, "<@"),
+349            exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]),
+350            exp.Pivot: no_pivot_sql,
+351            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
+352            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
+353            exp.StrPosition: str_position_sql,
+354            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
+355            exp.Substring: _substring_sql,
+356            exp.TimestampTrunc: timestamptrunc_sql,
+357            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
+358            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
+359            exp.TableSample: no_tablesample_sql,
+360            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
+361            exp.Trim: trim_sql,
+362            exp.TryCast: no_trycast_sql,
+363            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
+364            exp.DataType: _datatype_sql,
+365            exp.GroupConcat: _string_agg_sql,
+366            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
+367            if isinstance(seq_get(e.expressions, 0), exp.Select)
+368            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
+369        }
+370
+371        PROPERTIES_LOCATION = {
+372            **generator.Generator.PROPERTIES_LOCATION,
+373            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
+374            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+375        }
 
    
 
 
@@ -700,46 +692,46 @@ 
    Inherited Members
    
 
     
    
     
-            
    215    class Tokenizer(tokens.Tokenizer):
-216        QUOTES = ["'", "$$"]
-217
-218        BIT_STRINGS = [("b'", "'"), ("B'", "'")]
-219        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
-220        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
-221
-222        KEYWORDS = {
-223            **tokens.Tokenizer.KEYWORDS,
-224            "~~": TokenType.LIKE,
-225            "~~*": TokenType.ILIKE,
-226            "~*": TokenType.IRLIKE,
-227            "~": TokenType.RLIKE,
-228            "@>": TokenType.AT_GT,
-229            "<@": TokenType.LT_AT,
-230            "BEGIN": TokenType.COMMAND,
-231            "BEGIN TRANSACTION": TokenType.BEGIN,
-232            "BIGSERIAL": TokenType.BIGSERIAL,
-233            "CHARACTER VARYING": TokenType.VARCHAR,
-234            "DECLARE": TokenType.COMMAND,
-235            "DO": TokenType.COMMAND,
-236            "HSTORE": TokenType.HSTORE,
-237            "JSONB": TokenType.JSONB,
-238            "REFRESH": TokenType.COMMAND,
-239            "REINDEX": TokenType.COMMAND,
-240            "RESET": TokenType.COMMAND,
-241            "RETURNING": TokenType.RETURNING,
-242            "REVOKE": TokenType.COMMAND,
-243            "SERIAL": TokenType.SERIAL,
-244            "SMALLSERIAL": TokenType.SMALLSERIAL,
-245            "TEMP": TokenType.TEMPORARY,
-246            "CSTRING": TokenType.PSEUDO_TYPE,
-247        }
-248
-249        SINGLE_TOKENS = {
-250            **tokens.Tokenizer.SINGLE_TOKENS,
-251            "$": TokenType.PARAMETER,
-252        }
-253
-254        VAR_SINGLE_TOKENS = {"$"}
+            
    217    class Tokenizer(tokens.Tokenizer):
+218        QUOTES = ["'", "$$"]
+219
+220        BIT_STRINGS = [("b'", "'"), ("B'", "'")]
+221        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
+222        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
+223
+224        KEYWORDS = {
+225            **tokens.Tokenizer.KEYWORDS,
+226            "~~": TokenType.LIKE,
+227            "~~*": TokenType.ILIKE,
+228            "~*": TokenType.IRLIKE,
+229            "~": TokenType.RLIKE,
+230            "@>": TokenType.AT_GT,
+231            "<@": TokenType.LT_AT,
+232            "BEGIN": TokenType.COMMAND,
+233            "BEGIN TRANSACTION": TokenType.BEGIN,
+234            "BIGSERIAL": TokenType.BIGSERIAL,
+235            "CHARACTER VARYING": TokenType.VARCHAR,
+236            "DECLARE": TokenType.COMMAND,
+237            "DO": TokenType.COMMAND,
+238            "HSTORE": TokenType.HSTORE,
+239            "JSONB": TokenType.JSONB,
+240            "REFRESH": TokenType.COMMAND,
+241            "REINDEX": TokenType.COMMAND,
+242            "RESET": TokenType.COMMAND,
+243            "RETURNING": TokenType.RETURNING,
+244            "REVOKE": TokenType.COMMAND,
+245            "SERIAL": TokenType.SERIAL,
+246            "SMALLSERIAL": TokenType.SMALLSERIAL,
+247            "TEMP": TokenType.TEMPORARY,
+248            "CSTRING": TokenType.PSEUDO_TYPE,
+249        }
+250
+251        SINGLE_TOKENS = {
+252            **tokens.Tokenizer.SINGLE_TOKENS,
+253            "$": TokenType.PARAMETER,
+254        }
+255
+256        VAR_SINGLE_TOKENS = {"$"}
 
    
 
 
@@ -767,56 +759,56 @@ 
    Inherited Members
    
 
     
    
     
-            
    256    class Parser(parser.Parser):
-257        STRICT_CAST = False
-258
-259        FUNCTIONS = {
-260            **parser.Parser.FUNCTIONS,
-261            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
-262                this=seq_get(args, 1), unit=seq_get(args, 0)
-263            ),
-264            "GENERATE_SERIES": _generate_series,
-265            "NOW": exp.CurrentTimestamp.from_arg_list,
-266            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
-267            "TO_TIMESTAMP": _to_timestamp,
-268        }
-269
-270        FUNCTION_PARSERS = {
-271            **parser.Parser.FUNCTION_PARSERS,
-272            "DATE_PART": lambda self: self._parse_date_part(),
-273        }
-274
-275        BITWISE = {
-276            **parser.Parser.BITWISE,
-277            TokenType.HASH: exp.BitwiseXor,
-278        }
-279
-280        EXPONENT = {
-281            TokenType.CARET: exp.Pow,
-282        }
-283
-284        RANGE_PARSERS = {
-285            **parser.Parser.RANGE_PARSERS,
-286            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
-287            TokenType.AT_GT: binary_range_parser(exp.ArrayContains),
-288            TokenType.LT_AT: binary_range_parser(exp.ArrayContained),
-289        }
-290
-291        def _parse_factor(self) -> t.Optional[exp.Expression]:
-292            return self._parse_tokens(self._parse_exponent, self.FACTOR)
-293
-294        def _parse_exponent(self) -> t.Optional[exp.Expression]:
-295            return self._parse_tokens(self._parse_unary, self.EXPONENT)
-296
-297        def _parse_date_part(self) -> exp.Expression:
-298            part = self._parse_type()
-299            self._match(TokenType.COMMA)
-300            value = self._parse_bitwise()
-301
-302            if part and part.is_string:
-303                part = exp.Var(this=part.name)
-304
-305            return self.expression(exp.Extract, this=part, expression=value)
+            
    258    class Parser(parser.Parser):
+259        STRICT_CAST = False
+260
+261        FUNCTIONS = {
+262            **parser.Parser.FUNCTIONS,
+263            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
+264                this=seq_get(args, 1), unit=seq_get(args, 0)
+265            ),
+266            "GENERATE_SERIES": _generate_series,
+267            "NOW": exp.CurrentTimestamp.from_arg_list,
+268            "TO_CHAR": format_time_lambda(exp.TimeToStr, "postgres"),
+269            "TO_TIMESTAMP": _to_timestamp,
+270        }
+271
+272        FUNCTION_PARSERS = {
+273            **parser.Parser.FUNCTION_PARSERS,
+274            "DATE_PART": lambda self: self._parse_date_part(),
+275        }
+276
+277        BITWISE = {
+278            **parser.Parser.BITWISE,
+279            TokenType.HASH: exp.BitwiseXor,
+280        }
+281
+282        EXPONENT = {
+283            TokenType.CARET: exp.Pow,
+284        }
+285
+286        RANGE_PARSERS = {
+287            **parser.Parser.RANGE_PARSERS,
+288            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
+289            TokenType.AT_GT: binary_range_parser(exp.ArrayContains),
+290            TokenType.LT_AT: binary_range_parser(exp.ArrayContained),
+291        }
+292
+293        def _parse_factor(self) -> t.Optional[exp.Expression]:
+294            return self._parse_tokens(self._parse_exponent, self.FACTOR)
+295
+296        def _parse_exponent(self) -> t.Optional[exp.Expression]:
+297            return self._parse_tokens(self._parse_unary, self.EXPONENT)
+298
+299        def _parse_date_part(self) -> exp.Expression:
+300            part = self._parse_type()
+301            self._match(TokenType.COMMA)
+302            value = self._parse_bitwise()
+303
+304            if part and part.is_string:
+305                part = exp.Var(this=part.name)
+306
+307            return self.expression(exp.Extract, this=part, expression=value)
 
    
 
 
@@ -873,78 +865,73 @@ 
    Inherited Members
    
 
     
    
     
-            
    307    class Generator(generator.Generator):
-308        SINGLE_STRING_INTERVAL = True
-309        LOCKING_READS_SUPPORTED = True
-310        JOIN_HINTS = False
-311        TABLE_HINTS = False
-312        PARAMETER_TOKEN = "$"
-313
-314        TYPE_MAPPING = {
-315            **generator.Generator.TYPE_MAPPING,
-316            exp.DataType.Type.TINYINT: "SMALLINT",
-317            exp.DataType.Type.FLOAT: "REAL",
-318            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
-319            exp.DataType.Type.BINARY: "BYTEA",
-320            exp.DataType.Type.VARBINARY: "BYTEA",
-321            exp.DataType.Type.DATETIME: "TIMESTAMP",
-322        }
-323
-324        TRANSFORMS = {
-325            **generator.Generator.TRANSFORMS,
-326            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
-327            exp.ColumnDef: transforms.preprocess(
-328                [
-329                    _auto_increment_to_serial,
-330                    _serial_to_generated,
-331                ],
-332            ),
-333            exp.JSONExtract: arrow_json_extract_sql,
-334            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-335            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
-336            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
-337            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
-338            exp.Pow: lambda self, e: self.binary(e, "^"),
-339            exp.CurrentDate: no_paren_current_date_sql,
-340            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
-341            exp.DateAdd: _date_add_sql("+"),
-342            exp.DateStrToDate: datestrtodate_sql,
-343            exp.DateSub: _date_add_sql("-"),
-344            exp.DateDiff: _date_diff_sql,
-345            exp.LogicalOr: rename_func("BOOL_OR"),
-346            exp.LogicalAnd: rename_func("BOOL_AND"),
-347            exp.Max: max_or_greatest,
-348            exp.Min: min_or_least,
-349            exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"),
-350            exp.ArrayContains: lambda self, e: self.binary(e, "@>"),
-351            exp.ArrayContained: lambda self, e: self.binary(e, "<@"),
-352            exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]),
-353            exp.Pivot: no_pivot_sql,
-354            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
-355            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
-356            exp.StrPosition: str_position_sql,
-357            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
-358            exp.Substring: _substring_sql,
-359            exp.TimestampTrunc: timestamptrunc_sql,
-360            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
-361            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
-362            exp.TableSample: no_tablesample_sql,
-363            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
-364            exp.Trim: trim_sql,
-365            exp.TryCast: no_trycast_sql,
-366            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
-367            exp.DataType: _datatype_sql,
-368            exp.GroupConcat: _string_agg_sql,
-369            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
-370            if isinstance(seq_get(e.expressions, 0), exp.Select)
-371            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
-372        }
-373
-374        PROPERTIES_LOCATION = {
-375            **generator.Generator.PROPERTIES_LOCATION,
-376            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
-377            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-378        }
+            
    309    class Generator(generator.Generator):
+310        SINGLE_STRING_INTERVAL = True
+311        LOCKING_READS_SUPPORTED = True
+312        JOIN_HINTS = False
+313        TABLE_HINTS = False
+314        PARAMETER_TOKEN = "$"
+315
+316        TYPE_MAPPING = {
+317            **generator.Generator.TYPE_MAPPING,
+318            exp.DataType.Type.TINYINT: "SMALLINT",
+319            exp.DataType.Type.FLOAT: "REAL",
+320            exp.DataType.Type.DOUBLE: "DOUBLE PRECISION",
+321            exp.DataType.Type.BINARY: "BYTEA",
+322            exp.DataType.Type.VARBINARY: "BYTEA",
+323            exp.DataType.Type.DATETIME: "TIMESTAMP",
+324        }
+325
+326        TRANSFORMS = {
+327            **generator.Generator.TRANSFORMS,
+328            exp.BitwiseXor: lambda self, e: self.binary(e, "#"),
+329            exp.ColumnDef: transforms.preprocess([_auto_increment_to_serial, _serial_to_generated]),
+330            exp.JSONExtract: arrow_json_extract_sql,
+331            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+332            exp.JSONBExtract: lambda self, e: self.binary(e, "#>"),
+333            exp.JSONBExtractScalar: lambda self, e: self.binary(e, "#>>"),
+334            exp.JSONBContains: lambda self, e: self.binary(e, "?"),
+335            exp.Pow: lambda self, e: self.binary(e, "^"),
+336            exp.CurrentDate: no_paren_current_date_sql,
+337            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
+338            exp.DateAdd: _date_add_sql("+"),
+339            exp.DateStrToDate: datestrtodate_sql,
+340            exp.DateSub: _date_add_sql("-"),
+341            exp.DateDiff: _date_diff_sql,
+342            exp.LogicalOr: rename_func("BOOL_OR"),
+343            exp.LogicalAnd: rename_func("BOOL_AND"),
+344            exp.Max: max_or_greatest,
+345            exp.Min: min_or_least,
+346            exp.ArrayOverlaps: lambda self, e: self.binary(e, "&&"),
+347            exp.ArrayContains: lambda self, e: self.binary(e, "@>"),
+348            exp.ArrayContained: lambda self, e: self.binary(e, "<@"),
+349            exp.Merge: transforms.preprocess([transforms.remove_target_from_merge]),
+350            exp.Pivot: no_pivot_sql,
+351            exp.RegexpLike: lambda self, e: self.binary(e, "~"),
+352            exp.RegexpILike: lambda self, e: self.binary(e, "~*"),
+353            exp.StrPosition: str_position_sql,
+354            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
+355            exp.Substring: _substring_sql,
+356            exp.TimestampTrunc: timestamptrunc_sql,
+357            exp.TimeStrToTime: lambda self, e: f"CAST({self.sql(e, 'this')} AS TIMESTAMP)",
+358            exp.TimeToStr: lambda self, e: f"TO_CHAR({self.sql(e, 'this')}, {self.format_time(e)})",
+359            exp.TableSample: no_tablesample_sql,
+360            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
+361            exp.Trim: trim_sql,
+362            exp.TryCast: no_trycast_sql,
+363            exp.UnixToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')})",
+364            exp.DataType: _datatype_sql,
+365            exp.GroupConcat: _string_agg_sql,
+366            exp.Array: lambda self, e: f"{self.normalize_func('ARRAY')}({self.sql(e.expressions[0])})"
+367            if isinstance(seq_get(e.expressions, 0), exp.Select)
+368            else f"{self.normalize_func('ARRAY')}[{self.expressions(e, flat=True)}]",
+369        }
+370
+371        PROPERTIES_LOCATION = {
+372            **generator.Generator.PROPERTIES_LOCATION,
+373            exp.TransientProperty: exp.Properties.Location.UNSUPPORTED,
+374            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+375        }
 
    
 
 
@@ -967,6 +954,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1037,6 +1026,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/presto.html b/docs/sqlglot/dialects/presto.html
index 60ff8a1f2d..21dee35c79 100644
--- a/docs/sqlglot/dialects/presto.html
+++ b/docs/sqlglot/dialects/presto.html
@@ -221,7 +221,7 @@ 
    
 133        raise UnsupportedError(f"Unsupported charset {charset}")
 134
 135
-136def _approx_percentile(args: t.Sequence) -> exp.Expression:
+136def _approx_percentile(args: t.List) -> exp.Expression:
 137    if len(args) == 4:
 138        return exp.ApproxQuantile(
 139            this=seq_get(args, 0),
@@ -238,7 +238,7 @@ 
    
 150    return exp.ApproxQuantile.from_arg_list(args)
 151
 152
-153def _from_unixtime(args: t.Sequence) -> exp.Expression:
+153def _from_unixtime(args: t.List) -> exp.Expression:
 154    if len(args) == 3:
 155        return exp.UnixToTime(
 156            this=seq_get(args, 0),
@@ -967,6 +967,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1118,6 +1120,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/redshift.html b/docs/sqlglot/dialects/redshift.html
index 2dda98e7ad..53ae41b837 100644
--- a/docs/sqlglot/dialects/redshift.html
+++ b/docs/sqlglot/dialects/redshift.html
@@ -96,8 +96,8 @@ 
    
   8from sqlglot.tokens import TokenType
   9
  10
- 11def _json_sql(self, e) -> str:
- 12    return f'{self.sql(e, "this")}."{e.expression.name}"'
+ 11def _json_sql(self: Postgres.Generator, expression: exp.JSONExtract | exp.JSONExtractScalar) -> str:
+ 12    return f'{self.sql(expression, "this")}."{expression.expression.name}"'
  13
  14
  15class Redshift(Postgres):
@@ -199,7 +199,7 @@ 
    
 111        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 112        TRANSFORMS.pop(exp.Pow)
 113
-114        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot"}
+114        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
 115
 116        def values_sql(self, expression: exp.Values) -> str:
 117            """
@@ -228,7 +228,7 @@ 
    
 140
 141                selects.append(exp.Select(expressions=row))
 142
-143            subquery_expression = selects[0]
+143            subquery_expression: exp.Select | exp.Union = selects[0]
 144            if len(selects) > 1:
 145                for select in selects[1:]:
 146                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
@@ -369,7 +369,7 @@ 
    
 112        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 113        TRANSFORMS.pop(exp.Pow)
 114
-115        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot"}
+115        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
 116
 117        def values_sql(self, expression: exp.Values) -> str:
 118            """
@@ -398,7 +398,7 @@ 
    
 141
 142                selects.append(exp.Select(expressions=row))
 143
-144            subquery_expression = selects[0]
+144            subquery_expression: exp.Select | exp.Union = selects[0]
 145            if len(selects) > 1:
 146                for select in selects[1:]:
 147                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
@@ -631,7 +631,7 @@ 
    Inherited Members
    
     112        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
 113        TRANSFORMS.pop(exp.Pow)
 114
-115        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot"}
+115        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
 116
 117        def values_sql(self, expression: exp.Values) -> str:
 118            """
@@ -660,7 +660,7 @@ 
    Inherited Members
    
     141
 142                selects.append(exp.Select(expressions=row))
 143
-144            subquery_expression = selects[0]
+144            subquery_expression: exp.Select | exp.Union = selects[0]
 145            if len(selects) > 1:
 146                for select in selects[1:]:
 147                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
@@ -709,6 +709,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -778,7 +780,7 @@ 
    Arguments:
    
     141
 142                selects.append(exp.Select(expressions=row))
 143
-144            subquery_expression = selects[0]
+144            subquery_expression: exp.Select | exp.Union = selects[0]
 145            if len(selects) > 1:
 146                for select in selects[1:]:
 147                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
@@ -895,6 +897,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    directory_sql
    
                 
    delete_sql
    
diff --git a/docs/sqlglot/dialects/snowflake.html b/docs/sqlglot/dialects/snowflake.html
index 9b24055e76..5e055f4a07 100644
--- a/docs/sqlglot/dialects/snowflake.html
+++ b/docs/sqlglot/dialects/snowflake.html
@@ -124,7 +124,7 @@ 
    
  30
  31
  32# from https://docs.snowflake.com/en/sql-reference/functions/to_timestamp.html
- 33def _snowflake_to_timestamp(args: t.Sequence) -> t.Union[exp.StrToTime, exp.UnixToTime]:
+ 33def _snowflake_to_timestamp(args: t.List) -> t.Union[exp.StrToTime, exp.UnixToTime]:
  34    if len(args) == 2:
  35        first_arg, second_arg = args
  36        if second_arg.is_string:
@@ -214,7 +214,7 @@ 
    
 120
 121
 122# https://docs.snowflake.com/en/sql-reference/functions/div0
-123def _div0_to_if(args: t.Sequence) -> exp.Expression:
+123def _div0_to_if(args: t.List) -> exp.Expression:
 124    cond = exp.EQ(this=seq_get(args, 1), expression=exp.Literal.number(0))
 125    true = exp.Literal.number(0)
 126    false = exp.Div(this=seq_get(args, 0), expression=seq_get(args, 1))
@@ -222,13 +222,13 @@ 
    
 128
 129
 130# https://docs.snowflake.com/en/sql-reference/functions/zeroifnull
-131def _zeroifnull_to_if(args: t.Sequence) -> exp.Expression:
+131def _zeroifnull_to_if(args: t.List) -> exp.Expression:
 132    cond = exp.Is(this=seq_get(args, 0), expression=exp.Null())
 133    return exp.If(this=cond, true=exp.Literal.number(0), false=seq_get(args, 0))
 134
 135
 136# https://docs.snowflake.com/en/sql-reference/functions/zeroifnull
-137def _nullifzero_to_if(args: t.Sequence) -> exp.Expression:
+137def _nullifzero_to_if(args: t.List) -> exp.Expression:
 138    cond = exp.EQ(this=seq_get(args, 0), expression=exp.Literal.number(0))
 139    return exp.If(this=cond, true=exp.Null(), false=seq_get(args, 0))
 140
@@ -241,7 +241,7 @@ 
    
 147    return self.datatype_sql(expression)
 148
 149
-150def _parse_convert_timezone(args: t.Sequence) -> exp.Expression:
+150def _parse_convert_timezone(args: t.List) -> exp.Expression:
 151    if len(args) == 3:
 152        return exp.Anonymous(this="CONVERT_TIMEZONE", expressions=args)
 153    return exp.AtTimeZone(this=seq_get(args, 1), zone=seq_get(args, 0))
@@ -1056,6 +1056,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1234,6 +1236,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/spark.html b/docs/sqlglot/dialects/spark.html
index 95af2c062a..9b38483069 100644
--- a/docs/sqlglot/dialects/spark.html
+++ b/docs/sqlglot/dialects/spark.html
@@ -83,10 +83,10 @@ 
    
  7from sqlglot.helper import seq_get
  8
  9
-10def _parse_datediff(args: t.Sequence) -> exp.Expression:
+10def _parse_datediff(args: t.List) -> exp.Expression:
 11    """
 12    Although Spark docs don't mention the "unit" argument, Spark3 added support for
-13    it at some point. Databricks also supports this variation (see below).
+13    it at some point. Databricks also supports this variant (see below).
 14
 15    For example, in spark-sql (v3.3.1):
 16    - SELECT DATEDIFF('2020-01-01', '2020-01-05') results in -4
@@ -298,6 +298,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -393,6 +395,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    directory_sql
    
                 
    delete_sql
    
diff --git a/docs/sqlglot/dialects/spark2.html b/docs/sqlglot/dialects/spark2.html
index de7d87035d..de5c3081e3 100644
--- a/docs/sqlglot/dialects/spark2.html
+++ b/docs/sqlglot/dialects/spark2.html
@@ -116,7 +116,7 @@ 
    
  31    return f"MAP_FROM_ARRAYS({keys}, {values})"
  32
  33
- 34def _parse_as_cast(to_type: str) -> t.Callable[[t.Sequence], exp.Expression]:
+ 34def _parse_as_cast(to_type: str) -> t.Callable[[t.List], exp.Expression]:
  35    return lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build(to_type))
  36
  37
@@ -797,6 +797,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -918,6 +920,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    directory_sql
    
                 
    delete_sql
    
diff --git a/docs/sqlglot/dialects/sqlite.html b/docs/sqlglot/dialects/sqlite.html
index 0269a27cc8..e7cc26b01c 100644
--- a/docs/sqlglot/dialects/sqlite.html
+++ b/docs/sqlglot/dialects/sqlite.html
@@ -109,7 +109,7 @@ 
    
  15from sqlglot.tokens import TokenType
  16
  17
- 18def _date_add_sql(self, expression):
+ 18def _date_add_sql(self: generator.Generator, expression: exp.DateAdd) -> str:
  19    modifier = expression.expression
  20    modifier = modifier.name if modifier.is_string else self.sql(modifier)
  21    unit = expression.args.get("unit")
@@ -259,31 +259,34 @@ 
    
 165            return f"CAST({sql} AS INTEGER)"
 166
 167        # https://www.sqlite.org/lang_aggfunc.html#group_concat
-168        def groupconcat_sql(self, expression):
+168        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
 169            this = expression.this
 170            distinct = expression.find(exp.Distinct)
-171            if distinct:
-172                this = distinct.expressions[0]
-173                distinct = "DISTINCT "
-174
-175            if isinstance(expression.this, exp.Order):
-176                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
-177                if expression.this.this and not distinct:
-178                    this = expression.this.this
-179
-180            separator = expression.args.get("separator")
-181            return f"GROUP_CONCAT({distinct or ''}{self.format_args(this, separator)})"
+171
+172            if distinct:
+173                this = distinct.expressions[0]
+174                distinct_sql = "DISTINCT "
+175            else:
+176                distinct_sql = ""
+177
+178            if isinstance(expression.this, exp.Order):
+179                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
+180                if expression.this.this and not distinct:
+181                    this = expression.this.this
 182
-183        def least_sql(self, expression: exp.Least) -> str:
-184            if len(expression.expressions) > 1:
-185                return rename_func("MIN")(self, expression)
-186
-187            return self.expressions(expression)
-188
-189        def transaction_sql(self, expression: exp.Transaction) -> str:
-190            this = expression.this
-191            this = f" {this}" if this else ""
-192            return f"BEGIN{this} TRANSACTION"
+183            separator = expression.args.get("separator")
+184            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+185
+186        def least_sql(self, expression: exp.Least) -> str:
+187            if len(expression.expressions) > 1:
+188                return rename_func("MIN")(self, expression)
+189
+190            return self.expressions(expression)
+191
+192        def transaction_sql(self, expression: exp.Transaction) -> str:
+193            this = expression.this
+194            this = f" {this}" if this else ""
+195            return f"BEGIN{this} TRANSACTION"
 
    
 
 
@@ -407,31 +410,34 @@ 
    
 166            return f"CAST({sql} AS INTEGER)"
 167
 168        # https://www.sqlite.org/lang_aggfunc.html#group_concat
-169        def groupconcat_sql(self, expression):
+169        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
 170            this = expression.this
 171            distinct = expression.find(exp.Distinct)
-172            if distinct:
-173                this = distinct.expressions[0]
-174                distinct = "DISTINCT "
-175
-176            if isinstance(expression.this, exp.Order):
-177                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
-178                if expression.this.this and not distinct:
-179                    this = expression.this.this
-180
-181            separator = expression.args.get("separator")
-182            return f"GROUP_CONCAT({distinct or ''}{self.format_args(this, separator)})"
+172
+173            if distinct:
+174                this = distinct.expressions[0]
+175                distinct_sql = "DISTINCT "
+176            else:
+177                distinct_sql = ""
+178
+179            if isinstance(expression.this, exp.Order):
+180                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
+181                if expression.this.this and not distinct:
+182                    this = expression.this.this
 183
-184        def least_sql(self, expression: exp.Least) -> str:
-185            if len(expression.expressions) > 1:
-186                return rename_func("MIN")(self, expression)
-187
-188            return self.expressions(expression)
-189
-190        def transaction_sql(self, expression: exp.Transaction) -> str:
-191            this = expression.this
-192            this = f" {this}" if this else ""
-193            return f"BEGIN{this} TRANSACTION"
+184            separator = expression.args.get("separator")
+185            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+186
+187        def least_sql(self, expression: exp.Least) -> str:
+188            if len(expression.expressions) > 1:
+189                return rename_func("MIN")(self, expression)
+190
+191            return self.expressions(expression)
+192
+193        def transaction_sql(self, expression: exp.Transaction) -> str:
+194            this = expression.this
+195            this = f" {this}" if this else ""
+196            return f"BEGIN{this} TRANSACTION"
 
    
 
 
@@ -654,31 +660,34 @@ 
    Inherited Members
    
     166            return f"CAST({sql} AS INTEGER)"
 167
 168        # https://www.sqlite.org/lang_aggfunc.html#group_concat
-169        def groupconcat_sql(self, expression):
+169        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
 170            this = expression.this
 171            distinct = expression.find(exp.Distinct)
-172            if distinct:
-173                this = distinct.expressions[0]
-174                distinct = "DISTINCT "
-175
-176            if isinstance(expression.this, exp.Order):
-177                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
-178                if expression.this.this and not distinct:
-179                    this = expression.this.this
-180
-181            separator = expression.args.get("separator")
-182            return f"GROUP_CONCAT({distinct or ''}{self.format_args(this, separator)})"
+172
+173            if distinct:
+174                this = distinct.expressions[0]
+175                distinct_sql = "DISTINCT "
+176            else:
+177                distinct_sql = ""
+178
+179            if isinstance(expression.this, exp.Order):
+180                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
+181                if expression.this.this and not distinct:
+182                    this = expression.this.this
 183
-184        def least_sql(self, expression: exp.Least) -> str:
-185            if len(expression.expressions) > 1:
-186                return rename_func("MIN")(self, expression)
-187
-188            return self.expressions(expression)
-189
-190        def transaction_sql(self, expression: exp.Transaction) -> str:
-191            this = expression.this
-192            this = f" {this}" if this else ""
-193            return f"BEGIN{this} TRANSACTION"
+184            separator = expression.args.get("separator")
+185            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+186
+187        def least_sql(self, expression: exp.Least) -> str:
+188            if len(expression.expressions) > 1:
+189                return rename_func("MIN")(self, expression)
+190
+191            return self.expressions(expression)
+192
+193        def transaction_sql(self, expression: exp.Transaction) -> str:
+194            this = expression.this
+195            this = f" {this}" if this else ""
+196            return f"BEGIN{this} TRANSACTION"
    @@ -701,6 +710,8 @@
    Arguments:
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • +
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • +
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
  • normalize (bool): if set to True all identifiers will lower cased
  • string_escape (str): specifies a string escape character. Default: '.
    • @@ -802,26 +813,29 @@
    Arguments:
    def - groupconcat_sql(self, expression): + groupconcat_sql(self, expression: sqlglot.expressions.GroupConcat) -> str:
    - 
    169        def groupconcat_sql(self, expression):
+            
    169        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
 170            this = expression.this
 171            distinct = expression.find(exp.Distinct)
-172            if distinct:
-173                this = distinct.expressions[0]
-174                distinct = "DISTINCT "
-175
-176            if isinstance(expression.this, exp.Order):
-177                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
-178                if expression.this.this and not distinct:
-179                    this = expression.this.this
-180
-181            separator = expression.args.get("separator")
-182            return f"GROUP_CONCAT({distinct or ''}{self.format_args(this, separator)})"
+172
+173            if distinct:
+174                this = distinct.expressions[0]
+175                distinct_sql = "DISTINCT "
+176            else:
+177                distinct_sql = ""
+178
+179            if isinstance(expression.this, exp.Order):
+180                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
+181                if expression.this.this and not distinct:
+182                    this = expression.this.this
+183
+184            separator = expression.args.get("separator")
+185            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
 
    
 
 
@@ -839,11 +853,11 @@ 
    Arguments:
    - 
    184        def least_sql(self, expression: exp.Least) -> str:
-185            if len(expression.expressions) > 1:
-186                return rename_func("MIN")(self, expression)
-187
-188            return self.expressions(expression)
+            
    187        def least_sql(self, expression: exp.Least) -> str:
+188            if len(expression.expressions) > 1:
+189                return rename_func("MIN")(self, expression)
+190
+191            return self.expressions(expression)
 
    
 
 
@@ -861,10 +875,10 @@ 
    Arguments:
    - 
    190        def transaction_sql(self, expression: exp.Transaction) -> str:
-191            this = expression.this
-192            this = f" {this}" if this else ""
-193            return f"BEGIN{this} TRANSACTION"
+            
    193        def transaction_sql(self, expression: exp.Transaction) -> str:
+194            this = expression.this
+195            this = f" {this}" if this else ""
+196            return f"BEGIN{this} TRANSACTION"
 
    
 
 
@@ -910,6 +924,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/dialects/starrocks.html b/docs/sqlglot/dialects/starrocks.html
index e2b0ca6f8a..92eebc439b 100644
--- a/docs/sqlglot/dialects/starrocks.html
+++ b/docs/sqlglot/dialects/starrocks.html
@@ -115,7 +115,8 @@ 
    
 42            exp.UnixToStr: lambda self, e: f"FROM_UNIXTIME({self.sql(e, 'this')}, {self.format_time(e)})",
 43            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
 44        }
-45        TRANSFORMS.pop(exp.DateTrunc)
+45
+46        TRANSFORMS.pop(exp.DateTrunc)
    @@ -163,7 +164,8 @@

    43 exp.UnixToStr: lambda self, e: f"FROM_UNIXTIME({self.sql(e, 'this')}, {self.format_time(e)})", 44 exp.UnixToTime: rename_func("FROM_UNIXTIME"), 45 } -46 TRANSFORMS.pop(exp.DateTrunc) +46 +47 TRANSFORMS.pop(exp.DateTrunc) @@ -288,7 +290,8 @@

    Inherited Members
    43 exp.UnixToStr: lambda self, e: f"FROM_UNIXTIME({self.sql(e, 'this')}, {self.format_time(e)})", 44 exp.UnixToTime: rename_func("FROM_UNIXTIME"), 45 } -46 TRANSFORMS.pop(exp.DateTrunc) +46 +47 TRANSFORMS.pop(exp.DateTrunc) @@ -311,6 +314,8 @@
    Arguments:
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • +
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • +
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
  • normalize (bool): if set to True all identifiers will lower cased
  • string_escape (str): specifies a string escape character. Default: '.
    • @@ -381,6 +386,7 @@
    Inherited Members
    bitstring_sql
    hexstring_sql
    bytestring_sql
    +
    rawstring_sql
    datatypesize_sql
    datatype_sql
    directory_sql
    diff --git a/docs/sqlglot/dialects/tableau.html b/docs/sqlglot/dialects/tableau.html index 28b7945307..a3fdde42b2 100644 --- a/docs/sqlglot/dialects/tableau.html +++ b/docs/sqlglot/dialects/tableau.html @@ -255,6 +255,8 @@
    Arguments:
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • +
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • +
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
  • normalize (bool): if set to True all identifiers will lower cased
  • string_escape (str): specifies a string escape character. Default: '.
    • @@ -388,6 +390,7 @@
    Inherited Members
    bitstring_sql
    hexstring_sql
    bytestring_sql
    +
    rawstring_sql
    datatypesize_sql
    datatype_sql
    directory_sql
    diff --git a/docs/sqlglot/dialects/teradata.html b/docs/sqlglot/dialects/teradata.html index 02e952b634..e3023b4b10 100644 --- a/docs/sqlglot/dialects/teradata.html +++ b/docs/sqlglot/dialects/teradata.html @@ -770,6 +770,8 @@
    Arguments:
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • +
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • +
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
  • normalize (bool): if set to True all identifiers will lower cased
  • string_escape (str): specifies a string escape character. Default: '.
    • @@ -947,6 +949,7 @@
    Inherited Members
    bitstring_sql
    hexstring_sql
    bytestring_sql
    +
    rawstring_sql
    datatypesize_sql
    directory_sql
    delete_sql
    diff --git a/docs/sqlglot/dialects/trino.html b/docs/sqlglot/dialects/trino.html index ea2918aa31..c01f02abe7 100644 --- a/docs/sqlglot/dialects/trino.html +++ b/docs/sqlglot/dialects/trino.html @@ -175,6 +175,8 @@
    Arguments:
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • +
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • +
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
  • normalize (bool): if set to True all identifiers will lower cased
  • string_escape (str): specifies a string escape character. Default: '.
    • @@ -245,6 +247,7 @@
    Inherited Members
    bitstring_sql
    hexstring_sql
    bytestring_sql
    +
    rawstring_sql
    datatypesize_sql
    datatype_sql
    directory_sql
    diff --git a/docs/sqlglot/dialects/tsql.html b/docs/sqlglot/dialects/tsql.html index 74c2fe6ef9..01a2d68b7f 100644 --- a/docs/sqlglot/dialects/tsql.html +++ b/docs/sqlglot/dialects/tsql.html @@ -107,500 +107,518 @@

    16from sqlglot.time import format_time 17from sqlglot.tokens import TokenType 18 - 19FULL_FORMAT_TIME_MAPPING = { - 20 "weekday": "%A", - 21 "dw": "%A", - 22 "w": "%A", - 23 "month": "%B", - 24 "mm": "%B", - 25 "m": "%B", - 26} - 27 - 28DATE_DELTA_INTERVAL = { - 29 "year": "year", - 30 "yyyy": "year", - 31 "yy": "year", - 32 "quarter": "quarter", - 33 "qq": "quarter", - 34 "q": "quarter", - 35 "month": "month", - 36 "mm": "month", - 37 "m": "month", - 38 "week": "week", - 39 "ww": "week", - 40 "wk": "week", - 41 "day": "day", - 42 "dd": "day", - 43 "d": "day", - 44} - 45 - 46 - 47DATE_FMT_RE = re.compile("([dD]{1,2})|([mM]{1,2})|([yY]{1,4})|([hH]{1,2})|([sS]{1,2})") + 19if t.TYPE_CHECKING: + 20 from sqlglot._typing import E + 21 + 22FULL_FORMAT_TIME_MAPPING = { + 23 "weekday": "%A", + 24 "dw": "%A", + 25 "w": "%A", + 26 "month": "%B", + 27 "mm": "%B", + 28 "m": "%B", + 29} + 30 + 31DATE_DELTA_INTERVAL = { + 32 "year": "year", + 33 "yyyy": "year", + 34 "yy": "year", + 35 "quarter": "quarter", + 36 "qq": "quarter", + 37 "q": "quarter", + 38 "month": "month", + 39 "mm": "month", + 40 "m": "month", + 41 "week": "week", + 42 "ww": "week", + 43 "wk": "week", + 44 "day": "day", + 45 "dd": "day", + 46 "d": "day", + 47} 48 - 49# N = Numeric, C=Currency - 50TRANSPILE_SAFE_NUMBER_FMT = {"N", "C"} + 49 + 50DATE_FMT_RE = re.compile("([dD]{1,2})|([mM]{1,2})|([yY]{1,4})|([hH]{1,2})|([sS]{1,2})") 51 - 52 - 53def _format_time_lambda(exp_class, full_format_mapping=None, default=None): - 54 def _format_time(args): - 55 return exp_class( - 56 this=seq_get(args, 1), - 57 format=exp.Literal.string( - 58 format_time( - 59 seq_get(args, 0).name or (TSQL.time_format if default is True else default), - 60 {**TSQL.time_mapping, **FULL_FORMAT_TIME_MAPPING} - 61 if full_format_mapping - 62 else TSQL.time_mapping, - 63 ) - 64 ), - 65 ) - 66 - 67 return _format_time - 68 - 69 - 70def _parse_format(args): - 71 fmt = seq_get(args, 1) - 72 number_fmt = fmt.name in TRANSPILE_SAFE_NUMBER_FMT or not DATE_FMT_RE.search(fmt.this) - 73 if number_fmt: - 74 return exp.NumberToStr(this=seq_get(args, 0), format=fmt) - 75 return exp.TimeToStr( - 76 this=seq_get(args, 0), - 77 format=exp.Literal.string( - 78 format_time(fmt.name, TSQL.format_time_mapping) - 79 if len(fmt.name) == 1 - 80 else format_time(fmt.name, TSQL.time_mapping) - 81 ), - 82 ) - 83 - 84 - 85def _parse_eomonth(args): - 86 date = seq_get(args, 0) - 87 month_lag = seq_get(args, 1) - 88 unit = DATE_DELTA_INTERVAL.get("month") - 89 - 90 if month_lag is None: - 91 return exp.LastDateOfMonth(this=date) - 92 - 93 # Remove month lag argument in parser as its compared with the number of arguments of the resulting class - 94 args.remove(month_lag) + 52# N = Numeric, C=Currency + 53TRANSPILE_SAFE_NUMBER_FMT = {"N", "C"} + 54 + 55 + 56def _format_time_lambda( + 57 exp_class: t.Type[E], full_format_mapping: t.Optional[bool] = None + 58) -> t.Callable[[t.List], E]: + 59 def _format_time(args: t.List) -> E: + 60 assert len(args) == 2 + 61 + 62 return exp_class( + 63 this=args[1], + 64 format=exp.Literal.string( + 65 format_time( + 66 args[0].name, + 67 {**TSQL.time_mapping, **FULL_FORMAT_TIME_MAPPING} + 68 if full_format_mapping + 69 else TSQL.time_mapping, + 70 ) + 71 ), + 72 ) + 73 + 74 return _format_time + 75 + 76 + 77def _parse_format(args: t.List) -> exp.Expression: + 78 assert len(args) == 2 + 79 + 80 fmt = args[1] + 81 number_fmt = fmt.name in TRANSPILE_SAFE_NUMBER_FMT or not DATE_FMT_RE.search(fmt.name) + 82 + 83 if number_fmt: + 84 return exp.NumberToStr(this=args[0], format=fmt) + 85 + 86 return exp.TimeToStr( + 87 this=args[0], + 88 format=exp.Literal.string( + 89 format_time(fmt.name, TSQL.format_time_mapping) + 90 if len(fmt.name) == 1 + 91 else format_time(fmt.name, TSQL.time_mapping) + 92 ), + 93 ) + 94 95 - 96 return exp.LastDateOfMonth(this=exp.DateAdd(this=date, expression=month_lag, unit=unit)) - 97 - 98 - 99def _parse_hashbytes(args): -100 kind, data = args -101 kind = kind.name.upper() if kind.is_string else "" -102 -103 if kind == "MD5": -104 args.pop(0) -105 return exp.MD5(this=data) -106 if kind in ("SHA", "SHA1"): -107 args.pop(0) -108 return exp.SHA(this=data) -109 if kind == "SHA2_256": -110 return exp.SHA2(this=data, length=exp.Literal.number(256)) -111 if kind == "SHA2_512": -112 return exp.SHA2(this=data, length=exp.Literal.number(512)) -113 return exp.func("HASHBYTES", *args) -114 -115 -116def generate_date_delta_with_unit_sql(self, e): -117 func = "DATEADD" if isinstance(e, exp.DateAdd) else "DATEDIFF" -118 return self.func(func, e.text("unit"), e.expression, e.this) -119 -120 -121def _format_sql(self, e): -122 fmt = ( -123 e.args["format"] -124 if isinstance(e, exp.NumberToStr) -125 else exp.Literal.string(format_time(e.text("format"), TSQL.inverse_time_mapping)) -126 ) -127 return self.func("FORMAT", e.this, fmt) -128 -129 -130def _string_agg_sql(self, e): -131 e = e.copy() -132 -133 this = e.this -134 distinct = e.find(exp.Distinct) -135 if distinct: -136 # exp.Distinct can appear below an exp.Order or an exp.GroupConcat expression -137 self.unsupported("T-SQL STRING_AGG doesn't support DISTINCT.") -138 this = distinct.pop().expressions[0] -139 -140 order = "" -141 if isinstance(e.this, exp.Order): -142 if e.this.this: -143 this = e.this.this.pop() -144 order = f" WITHIN GROUP ({self.sql(e.this)[1:]})" # Order has a leading space -145 -146 separator = e.args.get("separator") or exp.Literal.string(",") -147 return f"STRING_AGG({self.format_args(this, separator)}){order}" -148 -149 -150class TSQL(Dialect): -151 null_ordering = "nulls_are_small" -152 time_format = "'yyyy-mm-dd hh:mm:ss'" -153 -154 time_mapping = { -155 "year": "%Y", -156 "qq": "%q", -157 "q": "%q", -158 "quarter": "%q", -159 "dayofyear": "%j", -160 "day": "%d", -161 "dy": "%d", -162 "y": "%Y", -163 "week": "%W", -164 "ww": "%W", -165 "wk": "%W", -166 "hour": "%h", -167 "hh": "%I", -168 "minute": "%M", -169 "mi": "%M", -170 "n": "%M", -171 "second": "%S", -172 "ss": "%S", -173 "s": "%-S", -174 "millisecond": "%f", -175 "ms": "%f", -176 "weekday": "%W", -177 "dw": "%W", -178 "month": "%m", -179 "mm": "%M", -180 "m": "%-M", -181 "Y": "%Y", -182 "YYYY": "%Y", -183 "YY": "%y", -184 "MMMM": "%B", -185 "MMM": "%b", -186 "MM": "%m", -187 "M": "%-m", -188 "dd": "%d", -189 "d": "%-d", -190 "HH": "%H", -191 "H": "%-H", -192 "h": "%-I", -193 "S": "%f", -194 "yyyy": "%Y", -195 "yy": "%y", -196 } -197 -198 convert_format_mapping = { -199 "0": "%b %d %Y %-I:%M%p", -200 "1": "%m/%d/%y", -201 "2": "%y.%m.%d", -202 "3": "%d/%m/%y", -203 "4": "%d.%m.%y", -204 "5": "%d-%m-%y", -205 "6": "%d %b %y", -206 "7": "%b %d, %y", -207 "8": "%H:%M:%S", -208 "9": "%b %d %Y %-I:%M:%S:%f%p", -209 "10": "mm-dd-yy", -210 "11": "yy/mm/dd", -211 "12": "yymmdd", -212 "13": "%d %b %Y %H:%M:ss:%f", -213 "14": "%H:%M:%S:%f", -214 "20": "%Y-%m-%d %H:%M:%S", -215 "21": "%Y-%m-%d %H:%M:%S.%f", -216 "22": "%m/%d/%y %-I:%M:%S %p", -217 "23": "%Y-%m-%d", -218 "24": "%H:%M:%S", -219 "25": "%Y-%m-%d %H:%M:%S.%f", -220 "100": "%b %d %Y %-I:%M%p", -221 "101": "%m/%d/%Y", -222 "102": "%Y.%m.%d", -223 "103": "%d/%m/%Y", -224 "104": "%d.%m.%Y", -225 "105": "%d-%m-%Y", -226 "106": "%d %b %Y", -227 "107": "%b %d, %Y", -228 "108": "%H:%M:%S", -229 "109": "%b %d %Y %-I:%M:%S:%f%p", -230 "110": "%m-%d-%Y", -231 "111": "%Y/%m/%d", -232 "112": "%Y%m%d", -233 "113": "%d %b %Y %H:%M:%S:%f", -234 "114": "%H:%M:%S:%f", -235 "120": "%Y-%m-%d %H:%M:%S", -236 "121": "%Y-%m-%d %H:%M:%S.%f", -237 } -238 # not sure if complete -239 format_time_mapping = { -240 "y": "%B %Y", -241 "d": "%m/%d/%Y", -242 "H": "%-H", -243 "h": "%-I", -244 "s": "%Y-%m-%d %H:%M:%S", -245 "D": "%A,%B,%Y", -246 "f": "%A,%B,%Y %-I:%M %p", -247 "F": "%A,%B,%Y %-I:%M:%S %p", -248 "g": "%m/%d/%Y %-I:%M %p", -249 "G": "%m/%d/%Y %-I:%M:%S %p", -250 "M": "%B %-d", -251 "m": "%B %-d", -252 "O": "%Y-%m-%dT%H:%M:%S", -253 "u": "%Y-%M-%D %H:%M:%S%z", -254 "U": "%A, %B %D, %Y %H:%M:%S%z", -255 "T": "%-I:%M:%S %p", -256 "t": "%-I:%M", -257 "Y": "%a %Y", -258 } -259 -260 class Tokenizer(tokens.Tokenizer): -261 IDENTIFIERS = ['"', ("[", "]")] -262 QUOTES = ["'", '"'] -263 HEX_STRINGS = [("0x", ""), ("0X", "")] -264 -265 KEYWORDS = { -266 **tokens.Tokenizer.KEYWORDS, -267 "DATETIME2": TokenType.DATETIME, -268 "DATETIMEOFFSET": TokenType.TIMESTAMPTZ, -269 "DECLARE": TokenType.COMMAND, -270 "IMAGE": TokenType.IMAGE, -271 "MONEY": TokenType.MONEY, -272 "NTEXT": TokenType.TEXT, -273 "NVARCHAR(MAX)": TokenType.TEXT, -274 "PRINT": TokenType.COMMAND, -275 "PROC": TokenType.PROCEDURE, -276 "REAL": TokenType.FLOAT, -277 "ROWVERSION": TokenType.ROWVERSION, -278 "SMALLDATETIME": TokenType.DATETIME, -279 "SMALLMONEY": TokenType.SMALLMONEY, -280 "SQL_VARIANT": TokenType.VARIANT, -281 "TIME": TokenType.TIMESTAMP, -282 "TOP": TokenType.TOP, -283 "UNIQUEIDENTIFIER": TokenType.UNIQUEIDENTIFIER, -284 "VARCHAR(MAX)": TokenType.TEXT, -285 "XML": TokenType.XML, -286 "SYSTEM_USER": TokenType.CURRENT_USER, -287 } -288 -289 # TSQL allows @, # to appear as a variable/identifier prefix -290 SINGLE_TOKENS = tokens.Tokenizer.SINGLE_TOKENS.copy() -291 SINGLE_TOKENS.pop("#") -292 -293 class Parser(parser.Parser): -294 FUNCTIONS = { -295 **parser.Parser.FUNCTIONS, -296 "CHARINDEX": lambda args: exp.StrPosition( -297 this=seq_get(args, 1), -298 substr=seq_get(args, 0), -299 position=seq_get(args, 2), -300 ), -301 "DATEADD": parse_date_delta(exp.DateAdd, unit_mapping=DATE_DELTA_INTERVAL), -302 "DATEDIFF": parse_date_delta(exp.DateDiff, unit_mapping=DATE_DELTA_INTERVAL), -303 "DATENAME": _format_time_lambda(exp.TimeToStr, full_format_mapping=True), -304 "DATEPART": _format_time_lambda(exp.TimeToStr), -305 "EOMONTH": _parse_eomonth, -306 "FORMAT": _parse_format, -307 "GETDATE": exp.CurrentTimestamp.from_arg_list, -308 "HASHBYTES": _parse_hashbytes, -309 "IIF": exp.If.from_arg_list, -310 "ISNULL": exp.Coalesce.from_arg_list, -311 "JSON_VALUE": exp.JSONExtractScalar.from_arg_list, -312 "LEN": exp.Length.from_arg_list, -313 "REPLICATE": exp.Repeat.from_arg_list, -314 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), -315 "SYSDATETIME": exp.CurrentTimestamp.from_arg_list, -316 "SUSER_NAME": exp.CurrentUser.from_arg_list, -317 "SUSER_SNAME": exp.CurrentUser.from_arg_list, -318 "SYSTEM_USER": exp.CurrentUser.from_arg_list, -319 } -320 -321 JOIN_HINTS = { -322 "LOOP", -323 "HASH", -324 "MERGE", -325 "REMOTE", -326 } -327 -328 VAR_LENGTH_DATATYPES = { -329 DataType.Type.NVARCHAR, -330 DataType.Type.VARCHAR, -331 DataType.Type.CHAR, -332 DataType.Type.NCHAR, -333 } -334 -335 RETURNS_TABLE_TOKENS = parser.Parser.ID_VAR_TOKENS - { -336 TokenType.TABLE, -337 *parser.Parser.TYPE_TOKENS, -338 } -339 -340 STATEMENT_PARSERS = { -341 **parser.Parser.STATEMENT_PARSERS, -342 TokenType.END: lambda self: self._parse_command(), -343 } -344 -345 LOG_BASE_FIRST = False -346 LOG_DEFAULTS_TO_LN = True -347 -348 def _parse_system_time(self) -> t.Optional[exp.Expression]: -349 if not self._match_text_seq("FOR", "SYSTEM_TIME"): -350 return None -351 -352 if self._match_text_seq("AS", "OF"): -353 system_time = self.expression( -354 exp.SystemTime, this=self._parse_bitwise(), kind="AS OF" -355 ) -356 elif self._match_set((TokenType.FROM, TokenType.BETWEEN)): -357 kind = self._prev.text -358 this = self._parse_bitwise() -359 self._match_texts(("TO", "AND")) -360 expression = self._parse_bitwise() -361 system_time = self.expression( -362 exp.SystemTime, this=this, expression=expression, kind=kind -363 ) -364 elif self._match_text_seq("CONTAINED", "IN"): -365 args = self._parse_wrapped_csv(self._parse_bitwise) -366 system_time = self.expression( -367 exp.SystemTime, -368 this=seq_get(args, 0), -369 expression=seq_get(args, 1), -370 kind="CONTAINED IN", -371 ) -372 elif self._match(TokenType.ALL): -373 system_time = self.expression(exp.SystemTime, kind="ALL") -374 else: -375 system_time = None -376 self.raise_error("Unable to parse FOR SYSTEM_TIME clause") -377 -378 return system_time -379 -380 def _parse_table_parts(self, schema: bool = False) -> exp.Table: -381 table = super()._parse_table_parts(schema=schema) -382 table.set("system_time", self._parse_system_time()) -383 return table -384 -385 def _parse_returns(self) -> exp.Expression: -386 table = self._parse_id_var(any_token=False, tokens=self.RETURNS_TABLE_TOKENS) -387 returns = super()._parse_returns() -388 returns.set("table", table) -389 return returns -390 -391 def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]: -392 to = self._parse_types() -393 self._match(TokenType.COMMA) -394 this = self._parse_conjunction() + 96def _parse_eomonth(args: t.List) -> exp.Expression: + 97 date = seq_get(args, 0) + 98 month_lag = seq_get(args, 1) + 99 unit = DATE_DELTA_INTERVAL.get("month") +100 +101 if month_lag is None: +102 return exp.LastDateOfMonth(this=date) +103 +104 # Remove month lag argument in parser as its compared with the number of arguments of the resulting class +105 args.remove(month_lag) +106 +107 return exp.LastDateOfMonth(this=exp.DateAdd(this=date, expression=month_lag, unit=unit)) +108 +109 +110def _parse_hashbytes(args: t.List) -> exp.Expression: +111 kind, data = args +112 kind = kind.name.upper() if kind.is_string else "" +113 +114 if kind == "MD5": +115 args.pop(0) +116 return exp.MD5(this=data) +117 if kind in ("SHA", "SHA1"): +118 args.pop(0) +119 return exp.SHA(this=data) +120 if kind == "SHA2_256": +121 return exp.SHA2(this=data, length=exp.Literal.number(256)) +122 if kind == "SHA2_512": +123 return exp.SHA2(this=data, length=exp.Literal.number(512)) +124 +125 return exp.func("HASHBYTES", *args) +126 +127 +128def generate_date_delta_with_unit_sql( +129 self: generator.Generator, expression: exp.DateAdd | exp.DateDiff +130) -> str: +131 func = "DATEADD" if isinstance(expression, exp.DateAdd) else "DATEDIFF" +132 return self.func(func, expression.text("unit"), expression.expression, expression.this) +133 +134 +135def _format_sql(self: generator.Generator, expression: exp.NumberToStr | exp.TimeToStr) -> str: +136 fmt = ( +137 expression.args["format"] +138 if isinstance(expression, exp.NumberToStr) +139 else exp.Literal.string( +140 format_time( +141 expression.text("format"), t.cast(t.Dict[str, str], TSQL.inverse_time_mapping) +142 ) +143 ) +144 ) +145 return self.func("FORMAT", expression.this, fmt) +146 +147 +148def _string_agg_sql(self: generator.Generator, expression: exp.GroupConcat) -> str: +149 expression = expression.copy() +150 +151 this = expression.this +152 distinct = expression.find(exp.Distinct) +153 if distinct: +154 # exp.Distinct can appear below an exp.Order or an exp.GroupConcat expression +155 self.unsupported("T-SQL STRING_AGG doesn't support DISTINCT.") +156 this = distinct.pop().expressions[0] +157 +158 order = "" +159 if isinstance(expression.this, exp.Order): +160 if expression.this.this: +161 this = expression.this.this.pop() +162 order = f" WITHIN GROUP ({self.sql(expression.this)[1:]})" # Order has a leading space +163 +164 separator = expression.args.get("separator") or exp.Literal.string(",") +165 return f"STRING_AGG({self.format_args(this, separator)}){order}" +166 +167 +168class TSQL(Dialect): +169 null_ordering = "nulls_are_small" +170 time_format = "'yyyy-mm-dd hh:mm:ss'" +171 +172 time_mapping = { +173 "year": "%Y", +174 "qq": "%q", +175 "q": "%q", +176 "quarter": "%q", +177 "dayofyear": "%j", +178 "day": "%d", +179 "dy": "%d", +180 "y": "%Y", +181 "week": "%W", +182 "ww": "%W", +183 "wk": "%W", +184 "hour": "%h", +185 "hh": "%I", +186 "minute": "%M", +187 "mi": "%M", +188 "n": "%M", +189 "second": "%S", +190 "ss": "%S", +191 "s": "%-S", +192 "millisecond": "%f", +193 "ms": "%f", +194 "weekday": "%W", +195 "dw": "%W", +196 "month": "%m", +197 "mm": "%M", +198 "m": "%-M", +199 "Y": "%Y", +200 "YYYY": "%Y", +201 "YY": "%y", +202 "MMMM": "%B", +203 "MMM": "%b", +204 "MM": "%m", +205 "M": "%-m", +206 "dd": "%d", +207 "d": "%-d", +208 "HH": "%H", +209 "H": "%-H", +210 "h": "%-I", +211 "S": "%f", +212 "yyyy": "%Y", +213 "yy": "%y", +214 } +215 +216 convert_format_mapping = { +217 "0": "%b %d %Y %-I:%M%p", +218 "1": "%m/%d/%y", +219 "2": "%y.%m.%d", +220 "3": "%d/%m/%y", +221 "4": "%d.%m.%y", +222 "5": "%d-%m-%y", +223 "6": "%d %b %y", +224 "7": "%b %d, %y", +225 "8": "%H:%M:%S", +226 "9": "%b %d %Y %-I:%M:%S:%f%p", +227 "10": "mm-dd-yy", +228 "11": "yy/mm/dd", +229 "12": "yymmdd", +230 "13": "%d %b %Y %H:%M:ss:%f", +231 "14": "%H:%M:%S:%f", +232 "20": "%Y-%m-%d %H:%M:%S", +233 "21": "%Y-%m-%d %H:%M:%S.%f", +234 "22": "%m/%d/%y %-I:%M:%S %p", +235 "23": "%Y-%m-%d", +236 "24": "%H:%M:%S", +237 "25": "%Y-%m-%d %H:%M:%S.%f", +238 "100": "%b %d %Y %-I:%M%p", +239 "101": "%m/%d/%Y", +240 "102": "%Y.%m.%d", +241 "103": "%d/%m/%Y", +242 "104": "%d.%m.%Y", +243 "105": "%d-%m-%Y", +244 "106": "%d %b %Y", +245 "107": "%b %d, %Y", +246 "108": "%H:%M:%S", +247 "109": "%b %d %Y %-I:%M:%S:%f%p", +248 "110": "%m-%d-%Y", +249 "111": "%Y/%m/%d", +250 "112": "%Y%m%d", +251 "113": "%d %b %Y %H:%M:%S:%f", +252 "114": "%H:%M:%S:%f", +253 "120": "%Y-%m-%d %H:%M:%S", +254 "121": "%Y-%m-%d %H:%M:%S.%f", +255 } +256 # not sure if complete +257 format_time_mapping = { +258 "y": "%B %Y", +259 "d": "%m/%d/%Y", +260 "H": "%-H", +261 "h": "%-I", +262 "s": "%Y-%m-%d %H:%M:%S", +263 "D": "%A,%B,%Y", +264 "f": "%A,%B,%Y %-I:%M %p", +265 "F": "%A,%B,%Y %-I:%M:%S %p", +266 "g": "%m/%d/%Y %-I:%M %p", +267 "G": "%m/%d/%Y %-I:%M:%S %p", +268 "M": "%B %-d", +269 "m": "%B %-d", +270 "O": "%Y-%m-%dT%H:%M:%S", +271 "u": "%Y-%M-%D %H:%M:%S%z", +272 "U": "%A, %B %D, %Y %H:%M:%S%z", +273 "T": "%-I:%M:%S %p", +274 "t": "%-I:%M", +275 "Y": "%a %Y", +276 } +277 +278 class Tokenizer(tokens.Tokenizer): +279 IDENTIFIERS = ['"', ("[", "]")] +280 QUOTES = ["'", '"'] +281 HEX_STRINGS = [("0x", ""), ("0X", "")] +282 +283 KEYWORDS = { +284 **tokens.Tokenizer.KEYWORDS, +285 "DATETIME2": TokenType.DATETIME, +286 "DATETIMEOFFSET": TokenType.TIMESTAMPTZ, +287 "DECLARE": TokenType.COMMAND, +288 "IMAGE": TokenType.IMAGE, +289 "MONEY": TokenType.MONEY, +290 "NTEXT": TokenType.TEXT, +291 "NVARCHAR(MAX)": TokenType.TEXT, +292 "PRINT": TokenType.COMMAND, +293 "PROC": TokenType.PROCEDURE, +294 "REAL": TokenType.FLOAT, +295 "ROWVERSION": TokenType.ROWVERSION, +296 "SMALLDATETIME": TokenType.DATETIME, +297 "SMALLMONEY": TokenType.SMALLMONEY, +298 "SQL_VARIANT": TokenType.VARIANT, +299 "TIME": TokenType.TIMESTAMP, +300 "TOP": TokenType.TOP, +301 "UNIQUEIDENTIFIER": TokenType.UNIQUEIDENTIFIER, +302 "VARCHAR(MAX)": TokenType.TEXT, +303 "XML": TokenType.XML, +304 "SYSTEM_USER": TokenType.CURRENT_USER, +305 } +306 +307 # TSQL allows @, # to appear as a variable/identifier prefix +308 SINGLE_TOKENS = tokens.Tokenizer.SINGLE_TOKENS.copy() +309 SINGLE_TOKENS.pop("#") +310 +311 class Parser(parser.Parser): +312 FUNCTIONS = { +313 **parser.Parser.FUNCTIONS, +314 "CHARINDEX": lambda args: exp.StrPosition( +315 this=seq_get(args, 1), +316 substr=seq_get(args, 0), +317 position=seq_get(args, 2), +318 ), +319 "DATEADD": parse_date_delta(exp.DateAdd, unit_mapping=DATE_DELTA_INTERVAL), +320 "DATEDIFF": parse_date_delta(exp.DateDiff, unit_mapping=DATE_DELTA_INTERVAL), +321 "DATENAME": _format_time_lambda(exp.TimeToStr, full_format_mapping=True), +322 "DATEPART": _format_time_lambda(exp.TimeToStr), +323 "EOMONTH": _parse_eomonth, +324 "FORMAT": _parse_format, +325 "GETDATE": exp.CurrentTimestamp.from_arg_list, +326 "HASHBYTES": _parse_hashbytes, +327 "IIF": exp.If.from_arg_list, +328 "ISNULL": exp.Coalesce.from_arg_list, +329 "JSON_VALUE": exp.JSONExtractScalar.from_arg_list, +330 "LEN": exp.Length.from_arg_list, +331 "REPLICATE": exp.Repeat.from_arg_list, +332 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), +333 "SYSDATETIME": exp.CurrentTimestamp.from_arg_list, +334 "SUSER_NAME": exp.CurrentUser.from_arg_list, +335 "SUSER_SNAME": exp.CurrentUser.from_arg_list, +336 "SYSTEM_USER": exp.CurrentUser.from_arg_list, +337 } +338 +339 JOIN_HINTS = { +340 "LOOP", +341 "HASH", +342 "MERGE", +343 "REMOTE", +344 } +345 +346 VAR_LENGTH_DATATYPES = { +347 DataType.Type.NVARCHAR, +348 DataType.Type.VARCHAR, +349 DataType.Type.CHAR, +350 DataType.Type.NCHAR, +351 } +352 +353 RETURNS_TABLE_TOKENS = parser.Parser.ID_VAR_TOKENS - { +354 TokenType.TABLE, +355 *parser.Parser.TYPE_TOKENS, +356 } +357 +358 STATEMENT_PARSERS = { +359 **parser.Parser.STATEMENT_PARSERS, +360 TokenType.END: lambda self: self._parse_command(), +361 } +362 +363 LOG_BASE_FIRST = False +364 LOG_DEFAULTS_TO_LN = True +365 +366 def _parse_system_time(self) -> t.Optional[exp.Expression]: +367 if not self._match_text_seq("FOR", "SYSTEM_TIME"): +368 return None +369 +370 if self._match_text_seq("AS", "OF"): +371 system_time = self.expression( +372 exp.SystemTime, this=self._parse_bitwise(), kind="AS OF" +373 ) +374 elif self._match_set((TokenType.FROM, TokenType.BETWEEN)): +375 kind = self._prev.text +376 this = self._parse_bitwise() +377 self._match_texts(("TO", "AND")) +378 expression = self._parse_bitwise() +379 system_time = self.expression( +380 exp.SystemTime, this=this, expression=expression, kind=kind +381 ) +382 elif self._match_text_seq("CONTAINED", "IN"): +383 args = self._parse_wrapped_csv(self._parse_bitwise) +384 system_time = self.expression( +385 exp.SystemTime, +386 this=seq_get(args, 0), +387 expression=seq_get(args, 1), +388 kind="CONTAINED IN", +389 ) +390 elif self._match(TokenType.ALL): +391 system_time = self.expression(exp.SystemTime, kind="ALL") +392 else: +393 system_time = None +394 self.raise_error("Unable to parse FOR SYSTEM_TIME clause") 395 -396 if not to or not this: -397 return None -398 -399 # Retrieve length of datatype and override to default if not specified -400 if seq_get(to.expressions, 0) is None and to.this in self.VAR_LENGTH_DATATYPES: -401 to = exp.DataType.build(to.this, expressions=[exp.Literal.number(30)], nested=False) +396 return system_time +397 +398 def _parse_table_parts(self, schema: bool = False) -> exp.Table: +399 table = super()._parse_table_parts(schema=schema) +400 table.set("system_time", self._parse_system_time()) +401 return table 402 -403 # Check whether a conversion with format is applicable -404 if self._match(TokenType.COMMA): -405 format_val = self._parse_number() -406 format_val_name = format_val.name if format_val else "" -407 -408 if format_val_name not in TSQL.convert_format_mapping: -409 raise ValueError( -410 f"CONVERT function at T-SQL does not support format style {format_val_name}" -411 ) -412 -413 format_norm = exp.Literal.string(TSQL.convert_format_mapping[format_val_name]) -414 -415 # Check whether the convert entails a string to date format -416 if to.this == DataType.Type.DATE: -417 return self.expression(exp.StrToDate, this=this, format=format_norm) -418 # Check whether the convert entails a string to datetime format -419 elif to.this == DataType.Type.DATETIME: -420 return self.expression(exp.StrToTime, this=this, format=format_norm) -421 # Check whether the convert entails a date to string format -422 elif to.this in self.VAR_LENGTH_DATATYPES: -423 return self.expression( -424 exp.Cast if strict else exp.TryCast, -425 to=to, -426 this=self.expression(exp.TimeToStr, this=this, format=format_norm), -427 ) -428 elif to.this == DataType.Type.TEXT: -429 return self.expression(exp.TimeToStr, this=this, format=format_norm) +403 def _parse_returns(self) -> exp.Expression: +404 table = self._parse_id_var(any_token=False, tokens=self.RETURNS_TABLE_TOKENS) +405 returns = super()._parse_returns() +406 returns.set("table", table) +407 return returns +408 +409 def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]: +410 to = self._parse_types() +411 self._match(TokenType.COMMA) +412 this = self._parse_conjunction() +413 +414 if not to or not this: +415 return None +416 +417 # Retrieve length of datatype and override to default if not specified +418 if seq_get(to.expressions, 0) is None and to.this in self.VAR_LENGTH_DATATYPES: +419 to = exp.DataType.build(to.this, expressions=[exp.Literal.number(30)], nested=False) +420 +421 # Check whether a conversion with format is applicable +422 if self._match(TokenType.COMMA): +423 format_val = self._parse_number() +424 format_val_name = format_val.name if format_val else "" +425 +426 if format_val_name not in TSQL.convert_format_mapping: +427 raise ValueError( +428 f"CONVERT function at T-SQL does not support format style {format_val_name}" +429 ) 430 -431 # Entails a simple cast without any format requirement -432 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) -433 -434 def _parse_user_defined_function( -435 self, kind: t.Optional[TokenType] = None -436 ) -> t.Optional[exp.Expression]: -437 this = super()._parse_user_defined_function(kind=kind) -438 -439 if ( -440 kind == TokenType.FUNCTION -441 or isinstance(this, exp.UserDefinedFunction) -442 or self._match(TokenType.ALIAS, advance=False) -443 ): -444 return this -445 -446 expressions = self._parse_csv(self._parse_function_parameter) -447 return self.expression(exp.UserDefinedFunction, this=this, expressions=expressions) +431 format_norm = exp.Literal.string(TSQL.convert_format_mapping[format_val_name]) +432 +433 # Check whether the convert entails a string to date format +434 if to.this == DataType.Type.DATE: +435 return self.expression(exp.StrToDate, this=this, format=format_norm) +436 # Check whether the convert entails a string to datetime format +437 elif to.this == DataType.Type.DATETIME: +438 return self.expression(exp.StrToTime, this=this, format=format_norm) +439 # Check whether the convert entails a date to string format +440 elif to.this in self.VAR_LENGTH_DATATYPES: +441 return self.expression( +442 exp.Cast if strict else exp.TryCast, +443 to=to, +444 this=self.expression(exp.TimeToStr, this=this, format=format_norm), +445 ) +446 elif to.this == DataType.Type.TEXT: +447 return self.expression(exp.TimeToStr, this=this, format=format_norm) 448 -449 class Generator(generator.Generator): -450 LOCKING_READS_SUPPORTED = True +449 # Entails a simple cast without any format requirement +450 return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to) 451 -452 TYPE_MAPPING = { -453 **generator.Generator.TYPE_MAPPING, -454 exp.DataType.Type.INT: "INTEGER", -455 exp.DataType.Type.DECIMAL: "NUMERIC", -456 exp.DataType.Type.DATETIME: "DATETIME2", -457 exp.DataType.Type.VARIANT: "SQL_VARIANT", -458 } -459 -460 TRANSFORMS = { -461 **generator.Generator.TRANSFORMS, -462 exp.DateAdd: generate_date_delta_with_unit_sql, -463 exp.DateDiff: generate_date_delta_with_unit_sql, -464 exp.CurrentDate: rename_func("GETDATE"), -465 exp.CurrentTimestamp: rename_func("GETDATE"), -466 exp.GroupConcat: _string_agg_sql, -467 exp.If: rename_func("IIF"), -468 exp.Max: max_or_greatest, -469 exp.MD5: lambda self, e: self.func("HASHBYTES", exp.Literal.string("MD5"), e.this), -470 exp.Min: min_or_least, -471 exp.NumberToStr: _format_sql, -472 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), -473 exp.SHA: lambda self, e: self.func("HASHBYTES", exp.Literal.string("SHA1"), e.this), -474 exp.SHA2: lambda self, e: self.func( -475 "HASHBYTES", exp.Literal.string(f"SHA2_{e.args.get('length', 256)}"), e.this -476 ), -477 exp.TimeToStr: _format_sql, -478 } -479 -480 TRANSFORMS.pop(exp.ReturnsProperty) -481 -482 PROPERTIES_LOCATION = { -483 **generator.Generator.PROPERTIES_LOCATION, -484 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -485 } -486 -487 LIMIT_FETCH = "FETCH" -488 -489 def offset_sql(self, expression: exp.Offset) -> str: -490 return f"{super().offset_sql(expression)} ROWS" -491 -492 def systemtime_sql(self, expression: exp.SystemTime) -> str: -493 kind = expression.args["kind"] -494 if kind == "ALL": -495 return "FOR SYSTEM_TIME ALL" -496 -497 start = self.sql(expression, "this") -498 if kind == "AS OF": -499 return f"FOR SYSTEM_TIME AS OF {start}" -500 -501 end = self.sql(expression, "expression") -502 if kind == "FROM": -503 return f"FOR SYSTEM_TIME FROM {start} TO {end}" -504 if kind == "BETWEEN": -505 return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}" +452 def _parse_user_defined_function( +453 self, kind: t.Optional[TokenType] = None +454 ) -> t.Optional[exp.Expression]: +455 this = super()._parse_user_defined_function(kind=kind) +456 +457 if ( +458 kind == TokenType.FUNCTION +459 or isinstance(this, exp.UserDefinedFunction) +460 or self._match(TokenType.ALIAS, advance=False) +461 ): +462 return this +463 +464 expressions = self._parse_csv(self._parse_function_parameter) +465 return self.expression(exp.UserDefinedFunction, this=this, expressions=expressions) +466 +467 class Generator(generator.Generator): +468 LOCKING_READS_SUPPORTED = True +469 +470 TYPE_MAPPING = { +471 **generator.Generator.TYPE_MAPPING, +472 exp.DataType.Type.INT: "INTEGER", +473 exp.DataType.Type.DECIMAL: "NUMERIC", +474 exp.DataType.Type.DATETIME: "DATETIME2", +475 exp.DataType.Type.VARIANT: "SQL_VARIANT", +476 } +477 +478 TRANSFORMS = { +479 **generator.Generator.TRANSFORMS, +480 exp.DateAdd: generate_date_delta_with_unit_sql, +481 exp.DateDiff: generate_date_delta_with_unit_sql, +482 exp.CurrentDate: rename_func("GETDATE"), +483 exp.CurrentTimestamp: rename_func("GETDATE"), +484 exp.GroupConcat: _string_agg_sql, +485 exp.If: rename_func("IIF"), +486 exp.Max: max_or_greatest, +487 exp.MD5: lambda self, e: self.func("HASHBYTES", exp.Literal.string("MD5"), e.this), +488 exp.Min: min_or_least, +489 exp.NumberToStr: _format_sql, +490 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +491 exp.SHA: lambda self, e: self.func("HASHBYTES", exp.Literal.string("SHA1"), e.this), +492 exp.SHA2: lambda self, e: self.func( +493 "HASHBYTES", exp.Literal.string(f"SHA2_{e.args.get('length', 256)}"), e.this +494 ), +495 exp.TimeToStr: _format_sql, +496 } +497 +498 TRANSFORMS.pop(exp.ReturnsProperty) +499 +500 PROPERTIES_LOCATION = { +501 **generator.Generator.PROPERTIES_LOCATION, +502 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +503 } +504 +505 LIMIT_FETCH = "FETCH" 506 -507 return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})" -508 -509 def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str: -510 table = expression.args.get("table") -511 table = f"{table} " if table else "" -512 return f"RETURNS {table}{self.sql(expression, 'this')}" +507 def offset_sql(self, expression: exp.Offset) -> str: +508 return f"{super().offset_sql(expression)} ROWS" +509 +510 def systemtime_sql(self, expression: exp.SystemTime) -> str: +511 kind = expression.args["kind"] +512 if kind == "ALL": +513 return "FOR SYSTEM_TIME ALL" +514 +515 start = self.sql(expression, "this") +516 if kind == "AS OF": +517 return f"FOR SYSTEM_TIME AS OF {start}" +518 +519 end = self.sql(expression, "expression") +520 if kind == "FROM": +521 return f"FOR SYSTEM_TIME FROM {start} TO {end}" +522 if kind == "BETWEEN": +523 return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}" +524 +525 return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})" +526 +527 def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str: +528 table = expression.args.get("table") +529 table = f"{table} " if table else "" +530 return f"RETURNS {table}{self.sql(expression, 'this')}" @@ -610,15 +628,17 @@

    def - generate_date_delta_with_unit_sql(self, e): + generate_date_delta_with_unit_sql( self: sqlglot.generator.Generator, expression: sqlglot.expressions.DateAdd | sqlglot.expressions.DateDiff) -> str:
    - 
    117def generate_date_delta_with_unit_sql(self, e):
-118    func = "DATEADD" if isinstance(e, exp.DateAdd) else "DATEDIFF"
-119    return self.func(func, e.text("unit"), e.expression, e.this)
+            
    129def generate_date_delta_with_unit_sql(
+130    self: generator.Generator, expression: exp.DateAdd | exp.DateDiff
+131) -> str:
+132    func = "DATEADD" if isinstance(expression, exp.DateAdd) else "DATEDIFF"
+133    return self.func(func, expression.text("unit"), expression.expression, expression.this)
 
    
 
 
@@ -636,369 +656,369 @@
    - 
    151class TSQL(Dialect):
-152    null_ordering = "nulls_are_small"
-153    time_format = "'yyyy-mm-dd hh:mm:ss'"
-154
-155    time_mapping = {
-156        "year": "%Y",
-157        "qq": "%q",
-158        "q": "%q",
-159        "quarter": "%q",
-160        "dayofyear": "%j",
-161        "day": "%d",
-162        "dy": "%d",
-163        "y": "%Y",
-164        "week": "%W",
-165        "ww": "%W",
-166        "wk": "%W",
-167        "hour": "%h",
-168        "hh": "%I",
-169        "minute": "%M",
-170        "mi": "%M",
-171        "n": "%M",
-172        "second": "%S",
-173        "ss": "%S",
-174        "s": "%-S",
-175        "millisecond": "%f",
-176        "ms": "%f",
-177        "weekday": "%W",
-178        "dw": "%W",
-179        "month": "%m",
-180        "mm": "%M",
-181        "m": "%-M",
-182        "Y": "%Y",
-183        "YYYY": "%Y",
-184        "YY": "%y",
-185        "MMMM": "%B",
-186        "MMM": "%b",
-187        "MM": "%m",
-188        "M": "%-m",
-189        "dd": "%d",
-190        "d": "%-d",
-191        "HH": "%H",
-192        "H": "%-H",
-193        "h": "%-I",
-194        "S": "%f",
-195        "yyyy": "%Y",
-196        "yy": "%y",
-197    }
-198
-199    convert_format_mapping = {
-200        "0": "%b %d %Y %-I:%M%p",
-201        "1": "%m/%d/%y",
-202        "2": "%y.%m.%d",
-203        "3": "%d/%m/%y",
-204        "4": "%d.%m.%y",
-205        "5": "%d-%m-%y",
-206        "6": "%d %b %y",
-207        "7": "%b %d, %y",
-208        "8": "%H:%M:%S",
-209        "9": "%b %d %Y %-I:%M:%S:%f%p",
-210        "10": "mm-dd-yy",
-211        "11": "yy/mm/dd",
-212        "12": "yymmdd",
-213        "13": "%d %b %Y %H:%M:ss:%f",
-214        "14": "%H:%M:%S:%f",
-215        "20": "%Y-%m-%d %H:%M:%S",
-216        "21": "%Y-%m-%d %H:%M:%S.%f",
-217        "22": "%m/%d/%y %-I:%M:%S %p",
-218        "23": "%Y-%m-%d",
-219        "24": "%H:%M:%S",
-220        "25": "%Y-%m-%d %H:%M:%S.%f",
-221        "100": "%b %d %Y %-I:%M%p",
-222        "101": "%m/%d/%Y",
-223        "102": "%Y.%m.%d",
-224        "103": "%d/%m/%Y",
-225        "104": "%d.%m.%Y",
-226        "105": "%d-%m-%Y",
-227        "106": "%d %b %Y",
-228        "107": "%b %d, %Y",
-229        "108": "%H:%M:%S",
-230        "109": "%b %d %Y %-I:%M:%S:%f%p",
-231        "110": "%m-%d-%Y",
-232        "111": "%Y/%m/%d",
-233        "112": "%Y%m%d",
-234        "113": "%d %b %Y %H:%M:%S:%f",
-235        "114": "%H:%M:%S:%f",
-236        "120": "%Y-%m-%d %H:%M:%S",
-237        "121": "%Y-%m-%d %H:%M:%S.%f",
-238    }
-239    # not sure if complete
-240    format_time_mapping = {
-241        "y": "%B %Y",
-242        "d": "%m/%d/%Y",
-243        "H": "%-H",
-244        "h": "%-I",
-245        "s": "%Y-%m-%d %H:%M:%S",
-246        "D": "%A,%B,%Y",
-247        "f": "%A,%B,%Y %-I:%M %p",
-248        "F": "%A,%B,%Y %-I:%M:%S %p",
-249        "g": "%m/%d/%Y %-I:%M %p",
-250        "G": "%m/%d/%Y %-I:%M:%S %p",
-251        "M": "%B %-d",
-252        "m": "%B %-d",
-253        "O": "%Y-%m-%dT%H:%M:%S",
-254        "u": "%Y-%M-%D %H:%M:%S%z",
-255        "U": "%A, %B %D, %Y %H:%M:%S%z",
-256        "T": "%-I:%M:%S %p",
-257        "t": "%-I:%M",
-258        "Y": "%a %Y",
-259    }
-260
-261    class Tokenizer(tokens.Tokenizer):
-262        IDENTIFIERS = ['"', ("[", "]")]
-263        QUOTES = ["'", '"']
-264        HEX_STRINGS = [("0x", ""), ("0X", "")]
-265
-266        KEYWORDS = {
-267            **tokens.Tokenizer.KEYWORDS,
-268            "DATETIME2": TokenType.DATETIME,
-269            "DATETIMEOFFSET": TokenType.TIMESTAMPTZ,
-270            "DECLARE": TokenType.COMMAND,
-271            "IMAGE": TokenType.IMAGE,
-272            "MONEY": TokenType.MONEY,
-273            "NTEXT": TokenType.TEXT,
-274            "NVARCHAR(MAX)": TokenType.TEXT,
-275            "PRINT": TokenType.COMMAND,
-276            "PROC": TokenType.PROCEDURE,
-277            "REAL": TokenType.FLOAT,
-278            "ROWVERSION": TokenType.ROWVERSION,
-279            "SMALLDATETIME": TokenType.DATETIME,
-280            "SMALLMONEY": TokenType.SMALLMONEY,
-281            "SQL_VARIANT": TokenType.VARIANT,
-282            "TIME": TokenType.TIMESTAMP,
-283            "TOP": TokenType.TOP,
-284            "UNIQUEIDENTIFIER": TokenType.UNIQUEIDENTIFIER,
-285            "VARCHAR(MAX)": TokenType.TEXT,
-286            "XML": TokenType.XML,
-287            "SYSTEM_USER": TokenType.CURRENT_USER,
-288        }
-289
-290        # TSQL allows @, # to appear as a variable/identifier prefix
-291        SINGLE_TOKENS = tokens.Tokenizer.SINGLE_TOKENS.copy()
-292        SINGLE_TOKENS.pop("#")
-293
-294    class Parser(parser.Parser):
-295        FUNCTIONS = {
-296            **parser.Parser.FUNCTIONS,
-297            "CHARINDEX": lambda args: exp.StrPosition(
-298                this=seq_get(args, 1),
-299                substr=seq_get(args, 0),
-300                position=seq_get(args, 2),
-301            ),
-302            "DATEADD": parse_date_delta(exp.DateAdd, unit_mapping=DATE_DELTA_INTERVAL),
-303            "DATEDIFF": parse_date_delta(exp.DateDiff, unit_mapping=DATE_DELTA_INTERVAL),
-304            "DATENAME": _format_time_lambda(exp.TimeToStr, full_format_mapping=True),
-305            "DATEPART": _format_time_lambda(exp.TimeToStr),
-306            "EOMONTH": _parse_eomonth,
-307            "FORMAT": _parse_format,
-308            "GETDATE": exp.CurrentTimestamp.from_arg_list,
-309            "HASHBYTES": _parse_hashbytes,
-310            "IIF": exp.If.from_arg_list,
-311            "ISNULL": exp.Coalesce.from_arg_list,
-312            "JSON_VALUE": exp.JSONExtractScalar.from_arg_list,
-313            "LEN": exp.Length.from_arg_list,
-314            "REPLICATE": exp.Repeat.from_arg_list,
-315            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
-316            "SYSDATETIME": exp.CurrentTimestamp.from_arg_list,
-317            "SUSER_NAME": exp.CurrentUser.from_arg_list,
-318            "SUSER_SNAME": exp.CurrentUser.from_arg_list,
-319            "SYSTEM_USER": exp.CurrentUser.from_arg_list,
-320        }
-321
-322        JOIN_HINTS = {
-323            "LOOP",
-324            "HASH",
-325            "MERGE",
-326            "REMOTE",
-327        }
-328
-329        VAR_LENGTH_DATATYPES = {
-330            DataType.Type.NVARCHAR,
-331            DataType.Type.VARCHAR,
-332            DataType.Type.CHAR,
-333            DataType.Type.NCHAR,
-334        }
-335
-336        RETURNS_TABLE_TOKENS = parser.Parser.ID_VAR_TOKENS - {
-337            TokenType.TABLE,
-338            *parser.Parser.TYPE_TOKENS,
-339        }
-340
-341        STATEMENT_PARSERS = {
-342            **parser.Parser.STATEMENT_PARSERS,
-343            TokenType.END: lambda self: self._parse_command(),
-344        }
-345
-346        LOG_BASE_FIRST = False
-347        LOG_DEFAULTS_TO_LN = True
-348
-349        def _parse_system_time(self) -> t.Optional[exp.Expression]:
-350            if not self._match_text_seq("FOR", "SYSTEM_TIME"):
-351                return None
-352
-353            if self._match_text_seq("AS", "OF"):
-354                system_time = self.expression(
-355                    exp.SystemTime, this=self._parse_bitwise(), kind="AS OF"
-356                )
-357            elif self._match_set((TokenType.FROM, TokenType.BETWEEN)):
-358                kind = self._prev.text
-359                this = self._parse_bitwise()
-360                self._match_texts(("TO", "AND"))
-361                expression = self._parse_bitwise()
-362                system_time = self.expression(
-363                    exp.SystemTime, this=this, expression=expression, kind=kind
-364                )
-365            elif self._match_text_seq("CONTAINED", "IN"):
-366                args = self._parse_wrapped_csv(self._parse_bitwise)
-367                system_time = self.expression(
-368                    exp.SystemTime,
-369                    this=seq_get(args, 0),
-370                    expression=seq_get(args, 1),
-371                    kind="CONTAINED IN",
-372                )
-373            elif self._match(TokenType.ALL):
-374                system_time = self.expression(exp.SystemTime, kind="ALL")
-375            else:
-376                system_time = None
-377                self.raise_error("Unable to parse FOR SYSTEM_TIME clause")
-378
-379            return system_time
-380
-381        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
-382            table = super()._parse_table_parts(schema=schema)
-383            table.set("system_time", self._parse_system_time())
-384            return table
-385
-386        def _parse_returns(self) -> exp.Expression:
-387            table = self._parse_id_var(any_token=False, tokens=self.RETURNS_TABLE_TOKENS)
-388            returns = super()._parse_returns()
-389            returns.set("table", table)
-390            return returns
-391
-392        def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
-393            to = self._parse_types()
-394            self._match(TokenType.COMMA)
-395            this = self._parse_conjunction()
+            
    169class TSQL(Dialect):
+170    null_ordering = "nulls_are_small"
+171    time_format = "'yyyy-mm-dd hh:mm:ss'"
+172
+173    time_mapping = {
+174        "year": "%Y",
+175        "qq": "%q",
+176        "q": "%q",
+177        "quarter": "%q",
+178        "dayofyear": "%j",
+179        "day": "%d",
+180        "dy": "%d",
+181        "y": "%Y",
+182        "week": "%W",
+183        "ww": "%W",
+184        "wk": "%W",
+185        "hour": "%h",
+186        "hh": "%I",
+187        "minute": "%M",
+188        "mi": "%M",
+189        "n": "%M",
+190        "second": "%S",
+191        "ss": "%S",
+192        "s": "%-S",
+193        "millisecond": "%f",
+194        "ms": "%f",
+195        "weekday": "%W",
+196        "dw": "%W",
+197        "month": "%m",
+198        "mm": "%M",
+199        "m": "%-M",
+200        "Y": "%Y",
+201        "YYYY": "%Y",
+202        "YY": "%y",
+203        "MMMM": "%B",
+204        "MMM": "%b",
+205        "MM": "%m",
+206        "M": "%-m",
+207        "dd": "%d",
+208        "d": "%-d",
+209        "HH": "%H",
+210        "H": "%-H",
+211        "h": "%-I",
+212        "S": "%f",
+213        "yyyy": "%Y",
+214        "yy": "%y",
+215    }
+216
+217    convert_format_mapping = {
+218        "0": "%b %d %Y %-I:%M%p",
+219        "1": "%m/%d/%y",
+220        "2": "%y.%m.%d",
+221        "3": "%d/%m/%y",
+222        "4": "%d.%m.%y",
+223        "5": "%d-%m-%y",
+224        "6": "%d %b %y",
+225        "7": "%b %d, %y",
+226        "8": "%H:%M:%S",
+227        "9": "%b %d %Y %-I:%M:%S:%f%p",
+228        "10": "mm-dd-yy",
+229        "11": "yy/mm/dd",
+230        "12": "yymmdd",
+231        "13": "%d %b %Y %H:%M:ss:%f",
+232        "14": "%H:%M:%S:%f",
+233        "20": "%Y-%m-%d %H:%M:%S",
+234        "21": "%Y-%m-%d %H:%M:%S.%f",
+235        "22": "%m/%d/%y %-I:%M:%S %p",
+236        "23": "%Y-%m-%d",
+237        "24": "%H:%M:%S",
+238        "25": "%Y-%m-%d %H:%M:%S.%f",
+239        "100": "%b %d %Y %-I:%M%p",
+240        "101": "%m/%d/%Y",
+241        "102": "%Y.%m.%d",
+242        "103": "%d/%m/%Y",
+243        "104": "%d.%m.%Y",
+244        "105": "%d-%m-%Y",
+245        "106": "%d %b %Y",
+246        "107": "%b %d, %Y",
+247        "108": "%H:%M:%S",
+248        "109": "%b %d %Y %-I:%M:%S:%f%p",
+249        "110": "%m-%d-%Y",
+250        "111": "%Y/%m/%d",
+251        "112": "%Y%m%d",
+252        "113": "%d %b %Y %H:%M:%S:%f",
+253        "114": "%H:%M:%S:%f",
+254        "120": "%Y-%m-%d %H:%M:%S",
+255        "121": "%Y-%m-%d %H:%M:%S.%f",
+256    }
+257    # not sure if complete
+258    format_time_mapping = {
+259        "y": "%B %Y",
+260        "d": "%m/%d/%Y",
+261        "H": "%-H",
+262        "h": "%-I",
+263        "s": "%Y-%m-%d %H:%M:%S",
+264        "D": "%A,%B,%Y",
+265        "f": "%A,%B,%Y %-I:%M %p",
+266        "F": "%A,%B,%Y %-I:%M:%S %p",
+267        "g": "%m/%d/%Y %-I:%M %p",
+268        "G": "%m/%d/%Y %-I:%M:%S %p",
+269        "M": "%B %-d",
+270        "m": "%B %-d",
+271        "O": "%Y-%m-%dT%H:%M:%S",
+272        "u": "%Y-%M-%D %H:%M:%S%z",
+273        "U": "%A, %B %D, %Y %H:%M:%S%z",
+274        "T": "%-I:%M:%S %p",
+275        "t": "%-I:%M",
+276        "Y": "%a %Y",
+277    }
+278
+279    class Tokenizer(tokens.Tokenizer):
+280        IDENTIFIERS = ['"', ("[", "]")]
+281        QUOTES = ["'", '"']
+282        HEX_STRINGS = [("0x", ""), ("0X", "")]
+283
+284        KEYWORDS = {
+285            **tokens.Tokenizer.KEYWORDS,
+286            "DATETIME2": TokenType.DATETIME,
+287            "DATETIMEOFFSET": TokenType.TIMESTAMPTZ,
+288            "DECLARE": TokenType.COMMAND,
+289            "IMAGE": TokenType.IMAGE,
+290            "MONEY": TokenType.MONEY,
+291            "NTEXT": TokenType.TEXT,
+292            "NVARCHAR(MAX)": TokenType.TEXT,
+293            "PRINT": TokenType.COMMAND,
+294            "PROC": TokenType.PROCEDURE,
+295            "REAL": TokenType.FLOAT,
+296            "ROWVERSION": TokenType.ROWVERSION,
+297            "SMALLDATETIME": TokenType.DATETIME,
+298            "SMALLMONEY": TokenType.SMALLMONEY,
+299            "SQL_VARIANT": TokenType.VARIANT,
+300            "TIME": TokenType.TIMESTAMP,
+301            "TOP": TokenType.TOP,
+302            "UNIQUEIDENTIFIER": TokenType.UNIQUEIDENTIFIER,
+303            "VARCHAR(MAX)": TokenType.TEXT,
+304            "XML": TokenType.XML,
+305            "SYSTEM_USER": TokenType.CURRENT_USER,
+306        }
+307
+308        # TSQL allows @, # to appear as a variable/identifier prefix
+309        SINGLE_TOKENS = tokens.Tokenizer.SINGLE_TOKENS.copy()
+310        SINGLE_TOKENS.pop("#")
+311
+312    class Parser(parser.Parser):
+313        FUNCTIONS = {
+314            **parser.Parser.FUNCTIONS,
+315            "CHARINDEX": lambda args: exp.StrPosition(
+316                this=seq_get(args, 1),
+317                substr=seq_get(args, 0),
+318                position=seq_get(args, 2),
+319            ),
+320            "DATEADD": parse_date_delta(exp.DateAdd, unit_mapping=DATE_DELTA_INTERVAL),
+321            "DATEDIFF": parse_date_delta(exp.DateDiff, unit_mapping=DATE_DELTA_INTERVAL),
+322            "DATENAME": _format_time_lambda(exp.TimeToStr, full_format_mapping=True),
+323            "DATEPART": _format_time_lambda(exp.TimeToStr),
+324            "EOMONTH": _parse_eomonth,
+325            "FORMAT": _parse_format,
+326            "GETDATE": exp.CurrentTimestamp.from_arg_list,
+327            "HASHBYTES": _parse_hashbytes,
+328            "IIF": exp.If.from_arg_list,
+329            "ISNULL": exp.Coalesce.from_arg_list,
+330            "JSON_VALUE": exp.JSONExtractScalar.from_arg_list,
+331            "LEN": exp.Length.from_arg_list,
+332            "REPLICATE": exp.Repeat.from_arg_list,
+333            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
+334            "SYSDATETIME": exp.CurrentTimestamp.from_arg_list,
+335            "SUSER_NAME": exp.CurrentUser.from_arg_list,
+336            "SUSER_SNAME": exp.CurrentUser.from_arg_list,
+337            "SYSTEM_USER": exp.CurrentUser.from_arg_list,
+338        }
+339
+340        JOIN_HINTS = {
+341            "LOOP",
+342            "HASH",
+343            "MERGE",
+344            "REMOTE",
+345        }
+346
+347        VAR_LENGTH_DATATYPES = {
+348            DataType.Type.NVARCHAR,
+349            DataType.Type.VARCHAR,
+350            DataType.Type.CHAR,
+351            DataType.Type.NCHAR,
+352        }
+353
+354        RETURNS_TABLE_TOKENS = parser.Parser.ID_VAR_TOKENS - {
+355            TokenType.TABLE,
+356            *parser.Parser.TYPE_TOKENS,
+357        }
+358
+359        STATEMENT_PARSERS = {
+360            **parser.Parser.STATEMENT_PARSERS,
+361            TokenType.END: lambda self: self._parse_command(),
+362        }
+363
+364        LOG_BASE_FIRST = False
+365        LOG_DEFAULTS_TO_LN = True
+366
+367        def _parse_system_time(self) -> t.Optional[exp.Expression]:
+368            if not self._match_text_seq("FOR", "SYSTEM_TIME"):
+369                return None
+370
+371            if self._match_text_seq("AS", "OF"):
+372                system_time = self.expression(
+373                    exp.SystemTime, this=self._parse_bitwise(), kind="AS OF"
+374                )
+375            elif self._match_set((TokenType.FROM, TokenType.BETWEEN)):
+376                kind = self._prev.text
+377                this = self._parse_bitwise()
+378                self._match_texts(("TO", "AND"))
+379                expression = self._parse_bitwise()
+380                system_time = self.expression(
+381                    exp.SystemTime, this=this, expression=expression, kind=kind
+382                )
+383            elif self._match_text_seq("CONTAINED", "IN"):
+384                args = self._parse_wrapped_csv(self._parse_bitwise)
+385                system_time = self.expression(
+386                    exp.SystemTime,
+387                    this=seq_get(args, 0),
+388                    expression=seq_get(args, 1),
+389                    kind="CONTAINED IN",
+390                )
+391            elif self._match(TokenType.ALL):
+392                system_time = self.expression(exp.SystemTime, kind="ALL")
+393            else:
+394                system_time = None
+395                self.raise_error("Unable to parse FOR SYSTEM_TIME clause")
 396
-397            if not to or not this:
-398                return None
-399
-400            # Retrieve length of datatype and override to default if not specified
-401            if seq_get(to.expressions, 0) is None and to.this in self.VAR_LENGTH_DATATYPES:
-402                to = exp.DataType.build(to.this, expressions=[exp.Literal.number(30)], nested=False)
+397            return system_time
+398
+399        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
+400            table = super()._parse_table_parts(schema=schema)
+401            table.set("system_time", self._parse_system_time())
+402            return table
 403
-404            # Check whether a conversion with format is applicable
-405            if self._match(TokenType.COMMA):
-406                format_val = self._parse_number()
-407                format_val_name = format_val.name if format_val else ""
-408
-409                if format_val_name not in TSQL.convert_format_mapping:
-410                    raise ValueError(
-411                        f"CONVERT function at T-SQL does not support format style {format_val_name}"
-412                    )
-413
-414                format_norm = exp.Literal.string(TSQL.convert_format_mapping[format_val_name])
-415
-416                # Check whether the convert entails a string to date format
-417                if to.this == DataType.Type.DATE:
-418                    return self.expression(exp.StrToDate, this=this, format=format_norm)
-419                # Check whether the convert entails a string to datetime format
-420                elif to.this == DataType.Type.DATETIME:
-421                    return self.expression(exp.StrToTime, this=this, format=format_norm)
-422                # Check whether the convert entails a date to string format
-423                elif to.this in self.VAR_LENGTH_DATATYPES:
-424                    return self.expression(
-425                        exp.Cast if strict else exp.TryCast,
-426                        to=to,
-427                        this=self.expression(exp.TimeToStr, this=this, format=format_norm),
-428                    )
-429                elif to.this == DataType.Type.TEXT:
-430                    return self.expression(exp.TimeToStr, this=this, format=format_norm)
+404        def _parse_returns(self) -> exp.Expression:
+405            table = self._parse_id_var(any_token=False, tokens=self.RETURNS_TABLE_TOKENS)
+406            returns = super()._parse_returns()
+407            returns.set("table", table)
+408            return returns
+409
+410        def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
+411            to = self._parse_types()
+412            self._match(TokenType.COMMA)
+413            this = self._parse_conjunction()
+414
+415            if not to or not this:
+416                return None
+417
+418            # Retrieve length of datatype and override to default if not specified
+419            if seq_get(to.expressions, 0) is None and to.this in self.VAR_LENGTH_DATATYPES:
+420                to = exp.DataType.build(to.this, expressions=[exp.Literal.number(30)], nested=False)
+421
+422            # Check whether a conversion with format is applicable
+423            if self._match(TokenType.COMMA):
+424                format_val = self._parse_number()
+425                format_val_name = format_val.name if format_val else ""
+426
+427                if format_val_name not in TSQL.convert_format_mapping:
+428                    raise ValueError(
+429                        f"CONVERT function at T-SQL does not support format style {format_val_name}"
+430                    )
 431
-432            # Entails a simple cast without any format requirement
-433            return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
-434
-435        def _parse_user_defined_function(
-436            self, kind: t.Optional[TokenType] = None
-437        ) -> t.Optional[exp.Expression]:
-438            this = super()._parse_user_defined_function(kind=kind)
-439
-440            if (
-441                kind == TokenType.FUNCTION
-442                or isinstance(this, exp.UserDefinedFunction)
-443                or self._match(TokenType.ALIAS, advance=False)
-444            ):
-445                return this
-446
-447            expressions = self._parse_csv(self._parse_function_parameter)
-448            return self.expression(exp.UserDefinedFunction, this=this, expressions=expressions)
+432                format_norm = exp.Literal.string(TSQL.convert_format_mapping[format_val_name])
+433
+434                # Check whether the convert entails a string to date format
+435                if to.this == DataType.Type.DATE:
+436                    return self.expression(exp.StrToDate, this=this, format=format_norm)
+437                # Check whether the convert entails a string to datetime format
+438                elif to.this == DataType.Type.DATETIME:
+439                    return self.expression(exp.StrToTime, this=this, format=format_norm)
+440                # Check whether the convert entails a date to string format
+441                elif to.this in self.VAR_LENGTH_DATATYPES:
+442                    return self.expression(
+443                        exp.Cast if strict else exp.TryCast,
+444                        to=to,
+445                        this=self.expression(exp.TimeToStr, this=this, format=format_norm),
+446                    )
+447                elif to.this == DataType.Type.TEXT:
+448                    return self.expression(exp.TimeToStr, this=this, format=format_norm)
 449
-450    class Generator(generator.Generator):
-451        LOCKING_READS_SUPPORTED = True
+450            # Entails a simple cast without any format requirement
+451            return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
 452
-453        TYPE_MAPPING = {
-454            **generator.Generator.TYPE_MAPPING,
-455            exp.DataType.Type.INT: "INTEGER",
-456            exp.DataType.Type.DECIMAL: "NUMERIC",
-457            exp.DataType.Type.DATETIME: "DATETIME2",
-458            exp.DataType.Type.VARIANT: "SQL_VARIANT",
-459        }
-460
-461        TRANSFORMS = {
-462            **generator.Generator.TRANSFORMS,
-463            exp.DateAdd: generate_date_delta_with_unit_sql,
-464            exp.DateDiff: generate_date_delta_with_unit_sql,
-465            exp.CurrentDate: rename_func("GETDATE"),
-466            exp.CurrentTimestamp: rename_func("GETDATE"),
-467            exp.GroupConcat: _string_agg_sql,
-468            exp.If: rename_func("IIF"),
-469            exp.Max: max_or_greatest,
-470            exp.MD5: lambda self, e: self.func("HASHBYTES", exp.Literal.string("MD5"), e.this),
-471            exp.Min: min_or_least,
-472            exp.NumberToStr: _format_sql,
-473            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-474            exp.SHA: lambda self, e: self.func("HASHBYTES", exp.Literal.string("SHA1"), e.this),
-475            exp.SHA2: lambda self, e: self.func(
-476                "HASHBYTES", exp.Literal.string(f"SHA2_{e.args.get('length', 256)}"), e.this
-477            ),
-478            exp.TimeToStr: _format_sql,
-479        }
-480
-481        TRANSFORMS.pop(exp.ReturnsProperty)
-482
-483        PROPERTIES_LOCATION = {
-484            **generator.Generator.PROPERTIES_LOCATION,
-485            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-486        }
-487
-488        LIMIT_FETCH = "FETCH"
-489
-490        def offset_sql(self, expression: exp.Offset) -> str:
-491            return f"{super().offset_sql(expression)} ROWS"
-492
-493        def systemtime_sql(self, expression: exp.SystemTime) -> str:
-494            kind = expression.args["kind"]
-495            if kind == "ALL":
-496                return "FOR SYSTEM_TIME ALL"
-497
-498            start = self.sql(expression, "this")
-499            if kind == "AS OF":
-500                return f"FOR SYSTEM_TIME AS OF {start}"
-501
-502            end = self.sql(expression, "expression")
-503            if kind == "FROM":
-504                return f"FOR SYSTEM_TIME FROM {start} TO {end}"
-505            if kind == "BETWEEN":
-506                return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}"
+453        def _parse_user_defined_function(
+454            self, kind: t.Optional[TokenType] = None
+455        ) -> t.Optional[exp.Expression]:
+456            this = super()._parse_user_defined_function(kind=kind)
+457
+458            if (
+459                kind == TokenType.FUNCTION
+460                or isinstance(this, exp.UserDefinedFunction)
+461                or self._match(TokenType.ALIAS, advance=False)
+462            ):
+463                return this
+464
+465            expressions = self._parse_csv(self._parse_function_parameter)
+466            return self.expression(exp.UserDefinedFunction, this=this, expressions=expressions)
+467
+468    class Generator(generator.Generator):
+469        LOCKING_READS_SUPPORTED = True
+470
+471        TYPE_MAPPING = {
+472            **generator.Generator.TYPE_MAPPING,
+473            exp.DataType.Type.INT: "INTEGER",
+474            exp.DataType.Type.DECIMAL: "NUMERIC",
+475            exp.DataType.Type.DATETIME: "DATETIME2",
+476            exp.DataType.Type.VARIANT: "SQL_VARIANT",
+477        }
+478
+479        TRANSFORMS = {
+480            **generator.Generator.TRANSFORMS,
+481            exp.DateAdd: generate_date_delta_with_unit_sql,
+482            exp.DateDiff: generate_date_delta_with_unit_sql,
+483            exp.CurrentDate: rename_func("GETDATE"),
+484            exp.CurrentTimestamp: rename_func("GETDATE"),
+485            exp.GroupConcat: _string_agg_sql,
+486            exp.If: rename_func("IIF"),
+487            exp.Max: max_or_greatest,
+488            exp.MD5: lambda self, e: self.func("HASHBYTES", exp.Literal.string("MD5"), e.this),
+489            exp.Min: min_or_least,
+490            exp.NumberToStr: _format_sql,
+491            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+492            exp.SHA: lambda self, e: self.func("HASHBYTES", exp.Literal.string("SHA1"), e.this),
+493            exp.SHA2: lambda self, e: self.func(
+494                "HASHBYTES", exp.Literal.string(f"SHA2_{e.args.get('length', 256)}"), e.this
+495            ),
+496            exp.TimeToStr: _format_sql,
+497        }
+498
+499        TRANSFORMS.pop(exp.ReturnsProperty)
+500
+501        PROPERTIES_LOCATION = {
+502            **generator.Generator.PROPERTIES_LOCATION,
+503            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+504        }
+505
+506        LIMIT_FETCH = "FETCH"
 507
-508            return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})"
-509
-510        def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str:
-511            table = expression.args.get("table")
-512            table = f"{table} " if table else ""
-513            return f"RETURNS {table}{self.sql(expression, 'this')}"
+508        def offset_sql(self, expression: exp.Offset) -> str:
+509            return f"{super().offset_sql(expression)} ROWS"
+510
+511        def systemtime_sql(self, expression: exp.SystemTime) -> str:
+512            kind = expression.args["kind"]
+513            if kind == "ALL":
+514                return "FOR SYSTEM_TIME ALL"
+515
+516            start = self.sql(expression, "this")
+517            if kind == "AS OF":
+518                return f"FOR SYSTEM_TIME AS OF {start}"
+519
+520            end = self.sql(expression, "expression")
+521            if kind == "FROM":
+522                return f"FOR SYSTEM_TIME FROM {start} TO {end}"
+523            if kind == "BETWEEN":
+524                return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}"
+525
+526            return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})"
+527
+528        def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str:
+529            table = expression.args.get("table")
+530            table = f"{table} " if table else ""
+531            return f"RETURNS {table}{self.sql(expression, 'this')}"
 
    
 
 
@@ -1033,38 +1053,38 @@ 
    Inherited Members
    - 
    261    class Tokenizer(tokens.Tokenizer):
-262        IDENTIFIERS = ['"', ("[", "]")]
-263        QUOTES = ["'", '"']
-264        HEX_STRINGS = [("0x", ""), ("0X", "")]
-265
-266        KEYWORDS = {
-267            **tokens.Tokenizer.KEYWORDS,
-268            "DATETIME2": TokenType.DATETIME,
-269            "DATETIMEOFFSET": TokenType.TIMESTAMPTZ,
-270            "DECLARE": TokenType.COMMAND,
-271            "IMAGE": TokenType.IMAGE,
-272            "MONEY": TokenType.MONEY,
-273            "NTEXT": TokenType.TEXT,
-274            "NVARCHAR(MAX)": TokenType.TEXT,
-275            "PRINT": TokenType.COMMAND,
-276            "PROC": TokenType.PROCEDURE,
-277            "REAL": TokenType.FLOAT,
-278            "ROWVERSION": TokenType.ROWVERSION,
-279            "SMALLDATETIME": TokenType.DATETIME,
-280            "SMALLMONEY": TokenType.SMALLMONEY,
-281            "SQL_VARIANT": TokenType.VARIANT,
-282            "TIME": TokenType.TIMESTAMP,
-283            "TOP": TokenType.TOP,
-284            "UNIQUEIDENTIFIER": TokenType.UNIQUEIDENTIFIER,
-285            "VARCHAR(MAX)": TokenType.TEXT,
-286            "XML": TokenType.XML,
-287            "SYSTEM_USER": TokenType.CURRENT_USER,
-288        }
-289
-290        # TSQL allows @, # to appear as a variable/identifier prefix
-291        SINGLE_TOKENS = tokens.Tokenizer.SINGLE_TOKENS.copy()
-292        SINGLE_TOKENS.pop("#")
+            
    279    class Tokenizer(tokens.Tokenizer):
+280        IDENTIFIERS = ['"', ("[", "]")]
+281        QUOTES = ["'", '"']
+282        HEX_STRINGS = [("0x", ""), ("0X", "")]
+283
+284        KEYWORDS = {
+285            **tokens.Tokenizer.KEYWORDS,
+286            "DATETIME2": TokenType.DATETIME,
+287            "DATETIMEOFFSET": TokenType.TIMESTAMPTZ,
+288            "DECLARE": TokenType.COMMAND,
+289            "IMAGE": TokenType.IMAGE,
+290            "MONEY": TokenType.MONEY,
+291            "NTEXT": TokenType.TEXT,
+292            "NVARCHAR(MAX)": TokenType.TEXT,
+293            "PRINT": TokenType.COMMAND,
+294            "PROC": TokenType.PROCEDURE,
+295            "REAL": TokenType.FLOAT,
+296            "ROWVERSION": TokenType.ROWVERSION,
+297            "SMALLDATETIME": TokenType.DATETIME,
+298            "SMALLMONEY": TokenType.SMALLMONEY,
+299            "SQL_VARIANT": TokenType.VARIANT,
+300            "TIME": TokenType.TIMESTAMP,
+301            "TOP": TokenType.TOP,
+302            "UNIQUEIDENTIFIER": TokenType.UNIQUEIDENTIFIER,
+303            "VARCHAR(MAX)": TokenType.TEXT,
+304            "XML": TokenType.XML,
+305            "SYSTEM_USER": TokenType.CURRENT_USER,
+306        }
+307
+308        # TSQL allows @, # to appear as a variable/identifier prefix
+309        SINGLE_TOKENS = tokens.Tokenizer.SINGLE_TOKENS.copy()
+310        SINGLE_TOKENS.pop("#")
 
    
 
 
@@ -1092,161 +1112,161 @@ 
    Inherited Members
    - 
    294    class Parser(parser.Parser):
-295        FUNCTIONS = {
-296            **parser.Parser.FUNCTIONS,
-297            "CHARINDEX": lambda args: exp.StrPosition(
-298                this=seq_get(args, 1),
-299                substr=seq_get(args, 0),
-300                position=seq_get(args, 2),
-301            ),
-302            "DATEADD": parse_date_delta(exp.DateAdd, unit_mapping=DATE_DELTA_INTERVAL),
-303            "DATEDIFF": parse_date_delta(exp.DateDiff, unit_mapping=DATE_DELTA_INTERVAL),
-304            "DATENAME": _format_time_lambda(exp.TimeToStr, full_format_mapping=True),
-305            "DATEPART": _format_time_lambda(exp.TimeToStr),
-306            "EOMONTH": _parse_eomonth,
-307            "FORMAT": _parse_format,
-308            "GETDATE": exp.CurrentTimestamp.from_arg_list,
-309            "HASHBYTES": _parse_hashbytes,
-310            "IIF": exp.If.from_arg_list,
-311            "ISNULL": exp.Coalesce.from_arg_list,
-312            "JSON_VALUE": exp.JSONExtractScalar.from_arg_list,
-313            "LEN": exp.Length.from_arg_list,
-314            "REPLICATE": exp.Repeat.from_arg_list,
-315            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
-316            "SYSDATETIME": exp.CurrentTimestamp.from_arg_list,
-317            "SUSER_NAME": exp.CurrentUser.from_arg_list,
-318            "SUSER_SNAME": exp.CurrentUser.from_arg_list,
-319            "SYSTEM_USER": exp.CurrentUser.from_arg_list,
-320        }
-321
-322        JOIN_HINTS = {
-323            "LOOP",
-324            "HASH",
-325            "MERGE",
-326            "REMOTE",
-327        }
-328
-329        VAR_LENGTH_DATATYPES = {
-330            DataType.Type.NVARCHAR,
-331            DataType.Type.VARCHAR,
-332            DataType.Type.CHAR,
-333            DataType.Type.NCHAR,
-334        }
-335
-336        RETURNS_TABLE_TOKENS = parser.Parser.ID_VAR_TOKENS - {
-337            TokenType.TABLE,
-338            *parser.Parser.TYPE_TOKENS,
-339        }
-340
-341        STATEMENT_PARSERS = {
-342            **parser.Parser.STATEMENT_PARSERS,
-343            TokenType.END: lambda self: self._parse_command(),
-344        }
-345
-346        LOG_BASE_FIRST = False
-347        LOG_DEFAULTS_TO_LN = True
-348
-349        def _parse_system_time(self) -> t.Optional[exp.Expression]:
-350            if not self._match_text_seq("FOR", "SYSTEM_TIME"):
-351                return None
-352
-353            if self._match_text_seq("AS", "OF"):
-354                system_time = self.expression(
-355                    exp.SystemTime, this=self._parse_bitwise(), kind="AS OF"
-356                )
-357            elif self._match_set((TokenType.FROM, TokenType.BETWEEN)):
-358                kind = self._prev.text
-359                this = self._parse_bitwise()
-360                self._match_texts(("TO", "AND"))
-361                expression = self._parse_bitwise()
-362                system_time = self.expression(
-363                    exp.SystemTime, this=this, expression=expression, kind=kind
-364                )
-365            elif self._match_text_seq("CONTAINED", "IN"):
-366                args = self._parse_wrapped_csv(self._parse_bitwise)
-367                system_time = self.expression(
-368                    exp.SystemTime,
-369                    this=seq_get(args, 0),
-370                    expression=seq_get(args, 1),
-371                    kind="CONTAINED IN",
-372                )
-373            elif self._match(TokenType.ALL):
-374                system_time = self.expression(exp.SystemTime, kind="ALL")
-375            else:
-376                system_time = None
-377                self.raise_error("Unable to parse FOR SYSTEM_TIME clause")
-378
-379            return system_time
-380
-381        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
-382            table = super()._parse_table_parts(schema=schema)
-383            table.set("system_time", self._parse_system_time())
-384            return table
-385
-386        def _parse_returns(self) -> exp.Expression:
-387            table = self._parse_id_var(any_token=False, tokens=self.RETURNS_TABLE_TOKENS)
-388            returns = super()._parse_returns()
-389            returns.set("table", table)
-390            return returns
-391
-392        def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
-393            to = self._parse_types()
-394            self._match(TokenType.COMMA)
-395            this = self._parse_conjunction()
+            
    312    class Parser(parser.Parser):
+313        FUNCTIONS = {
+314            **parser.Parser.FUNCTIONS,
+315            "CHARINDEX": lambda args: exp.StrPosition(
+316                this=seq_get(args, 1),
+317                substr=seq_get(args, 0),
+318                position=seq_get(args, 2),
+319            ),
+320            "DATEADD": parse_date_delta(exp.DateAdd, unit_mapping=DATE_DELTA_INTERVAL),
+321            "DATEDIFF": parse_date_delta(exp.DateDiff, unit_mapping=DATE_DELTA_INTERVAL),
+322            "DATENAME": _format_time_lambda(exp.TimeToStr, full_format_mapping=True),
+323            "DATEPART": _format_time_lambda(exp.TimeToStr),
+324            "EOMONTH": _parse_eomonth,
+325            "FORMAT": _parse_format,
+326            "GETDATE": exp.CurrentTimestamp.from_arg_list,
+327            "HASHBYTES": _parse_hashbytes,
+328            "IIF": exp.If.from_arg_list,
+329            "ISNULL": exp.Coalesce.from_arg_list,
+330            "JSON_VALUE": exp.JSONExtractScalar.from_arg_list,
+331            "LEN": exp.Length.from_arg_list,
+332            "REPLICATE": exp.Repeat.from_arg_list,
+333            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
+334            "SYSDATETIME": exp.CurrentTimestamp.from_arg_list,
+335            "SUSER_NAME": exp.CurrentUser.from_arg_list,
+336            "SUSER_SNAME": exp.CurrentUser.from_arg_list,
+337            "SYSTEM_USER": exp.CurrentUser.from_arg_list,
+338        }
+339
+340        JOIN_HINTS = {
+341            "LOOP",
+342            "HASH",
+343            "MERGE",
+344            "REMOTE",
+345        }
+346
+347        VAR_LENGTH_DATATYPES = {
+348            DataType.Type.NVARCHAR,
+349            DataType.Type.VARCHAR,
+350            DataType.Type.CHAR,
+351            DataType.Type.NCHAR,
+352        }
+353
+354        RETURNS_TABLE_TOKENS = parser.Parser.ID_VAR_TOKENS - {
+355            TokenType.TABLE,
+356            *parser.Parser.TYPE_TOKENS,
+357        }
+358
+359        STATEMENT_PARSERS = {
+360            **parser.Parser.STATEMENT_PARSERS,
+361            TokenType.END: lambda self: self._parse_command(),
+362        }
+363
+364        LOG_BASE_FIRST = False
+365        LOG_DEFAULTS_TO_LN = True
+366
+367        def _parse_system_time(self) -> t.Optional[exp.Expression]:
+368            if not self._match_text_seq("FOR", "SYSTEM_TIME"):
+369                return None
+370
+371            if self._match_text_seq("AS", "OF"):
+372                system_time = self.expression(
+373                    exp.SystemTime, this=self._parse_bitwise(), kind="AS OF"
+374                )
+375            elif self._match_set((TokenType.FROM, TokenType.BETWEEN)):
+376                kind = self._prev.text
+377                this = self._parse_bitwise()
+378                self._match_texts(("TO", "AND"))
+379                expression = self._parse_bitwise()
+380                system_time = self.expression(
+381                    exp.SystemTime, this=this, expression=expression, kind=kind
+382                )
+383            elif self._match_text_seq("CONTAINED", "IN"):
+384                args = self._parse_wrapped_csv(self._parse_bitwise)
+385                system_time = self.expression(
+386                    exp.SystemTime,
+387                    this=seq_get(args, 0),
+388                    expression=seq_get(args, 1),
+389                    kind="CONTAINED IN",
+390                )
+391            elif self._match(TokenType.ALL):
+392                system_time = self.expression(exp.SystemTime, kind="ALL")
+393            else:
+394                system_time = None
+395                self.raise_error("Unable to parse FOR SYSTEM_TIME clause")
 396
-397            if not to or not this:
-398                return None
-399
-400            # Retrieve length of datatype and override to default if not specified
-401            if seq_get(to.expressions, 0) is None and to.this in self.VAR_LENGTH_DATATYPES:
-402                to = exp.DataType.build(to.this, expressions=[exp.Literal.number(30)], nested=False)
+397            return system_time
+398
+399        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
+400            table = super()._parse_table_parts(schema=schema)
+401            table.set("system_time", self._parse_system_time())
+402            return table
 403
-404            # Check whether a conversion with format is applicable
-405            if self._match(TokenType.COMMA):
-406                format_val = self._parse_number()
-407                format_val_name = format_val.name if format_val else ""
-408
-409                if format_val_name not in TSQL.convert_format_mapping:
-410                    raise ValueError(
-411                        f"CONVERT function at T-SQL does not support format style {format_val_name}"
-412                    )
-413
-414                format_norm = exp.Literal.string(TSQL.convert_format_mapping[format_val_name])
-415
-416                # Check whether the convert entails a string to date format
-417                if to.this == DataType.Type.DATE:
-418                    return self.expression(exp.StrToDate, this=this, format=format_norm)
-419                # Check whether the convert entails a string to datetime format
-420                elif to.this == DataType.Type.DATETIME:
-421                    return self.expression(exp.StrToTime, this=this, format=format_norm)
-422                # Check whether the convert entails a date to string format
-423                elif to.this in self.VAR_LENGTH_DATATYPES:
-424                    return self.expression(
-425                        exp.Cast if strict else exp.TryCast,
-426                        to=to,
-427                        this=self.expression(exp.TimeToStr, this=this, format=format_norm),
-428                    )
-429                elif to.this == DataType.Type.TEXT:
-430                    return self.expression(exp.TimeToStr, this=this, format=format_norm)
+404        def _parse_returns(self) -> exp.Expression:
+405            table = self._parse_id_var(any_token=False, tokens=self.RETURNS_TABLE_TOKENS)
+406            returns = super()._parse_returns()
+407            returns.set("table", table)
+408            return returns
+409
+410        def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
+411            to = self._parse_types()
+412            self._match(TokenType.COMMA)
+413            this = self._parse_conjunction()
+414
+415            if not to or not this:
+416                return None
+417
+418            # Retrieve length of datatype and override to default if not specified
+419            if seq_get(to.expressions, 0) is None and to.this in self.VAR_LENGTH_DATATYPES:
+420                to = exp.DataType.build(to.this, expressions=[exp.Literal.number(30)], nested=False)
+421
+422            # Check whether a conversion with format is applicable
+423            if self._match(TokenType.COMMA):
+424                format_val = self._parse_number()
+425                format_val_name = format_val.name if format_val else ""
+426
+427                if format_val_name not in TSQL.convert_format_mapping:
+428                    raise ValueError(
+429                        f"CONVERT function at T-SQL does not support format style {format_val_name}"
+430                    )
 431
-432            # Entails a simple cast without any format requirement
-433            return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
-434
-435        def _parse_user_defined_function(
-436            self, kind: t.Optional[TokenType] = None
-437        ) -> t.Optional[exp.Expression]:
-438            this = super()._parse_user_defined_function(kind=kind)
-439
-440            if (
-441                kind == TokenType.FUNCTION
-442                or isinstance(this, exp.UserDefinedFunction)
-443                or self._match(TokenType.ALIAS, advance=False)
-444            ):
-445                return this
-446
-447            expressions = self._parse_csv(self._parse_function_parameter)
-448            return self.expression(exp.UserDefinedFunction, this=this, expressions=expressions)
+432                format_norm = exp.Literal.string(TSQL.convert_format_mapping[format_val_name])
+433
+434                # Check whether the convert entails a string to date format
+435                if to.this == DataType.Type.DATE:
+436                    return self.expression(exp.StrToDate, this=this, format=format_norm)
+437                # Check whether the convert entails a string to datetime format
+438                elif to.this == DataType.Type.DATETIME:
+439                    return self.expression(exp.StrToTime, this=this, format=format_norm)
+440                # Check whether the convert entails a date to string format
+441                elif to.this in self.VAR_LENGTH_DATATYPES:
+442                    return self.expression(
+443                        exp.Cast if strict else exp.TryCast,
+444                        to=to,
+445                        this=self.expression(exp.TimeToStr, this=this, format=format_norm),
+446                    )
+447                elif to.this == DataType.Type.TEXT:
+448                    return self.expression(exp.TimeToStr, this=this, format=format_norm)
+449
+450            # Entails a simple cast without any format requirement
+451            return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
+452
+453        def _parse_user_defined_function(
+454            self, kind: t.Optional[TokenType] = None
+455        ) -> t.Optional[exp.Expression]:
+456            this = super()._parse_user_defined_function(kind=kind)
+457
+458            if (
+459                kind == TokenType.FUNCTION
+460                or isinstance(this, exp.UserDefinedFunction)
+461                or self._match(TokenType.ALIAS, advance=False)
+462            ):
+463                return this
+464
+465            expressions = self._parse_csv(self._parse_function_parameter)
+466            return self.expression(exp.UserDefinedFunction, this=this, expressions=expressions)
 
    
 
 
@@ -1303,70 +1323,70 @@ 
    Inherited Members
    - 
    450    class Generator(generator.Generator):
-451        LOCKING_READS_SUPPORTED = True
-452
-453        TYPE_MAPPING = {
-454            **generator.Generator.TYPE_MAPPING,
-455            exp.DataType.Type.INT: "INTEGER",
-456            exp.DataType.Type.DECIMAL: "NUMERIC",
-457            exp.DataType.Type.DATETIME: "DATETIME2",
-458            exp.DataType.Type.VARIANT: "SQL_VARIANT",
-459        }
-460
-461        TRANSFORMS = {
-462            **generator.Generator.TRANSFORMS,
-463            exp.DateAdd: generate_date_delta_with_unit_sql,
-464            exp.DateDiff: generate_date_delta_with_unit_sql,
-465            exp.CurrentDate: rename_func("GETDATE"),
-466            exp.CurrentTimestamp: rename_func("GETDATE"),
-467            exp.GroupConcat: _string_agg_sql,
-468            exp.If: rename_func("IIF"),
-469            exp.Max: max_or_greatest,
-470            exp.MD5: lambda self, e: self.func("HASHBYTES", exp.Literal.string("MD5"), e.this),
-471            exp.Min: min_or_least,
-472            exp.NumberToStr: _format_sql,
-473            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-474            exp.SHA: lambda self, e: self.func("HASHBYTES", exp.Literal.string("SHA1"), e.this),
-475            exp.SHA2: lambda self, e: self.func(
-476                "HASHBYTES", exp.Literal.string(f"SHA2_{e.args.get('length', 256)}"), e.this
-477            ),
-478            exp.TimeToStr: _format_sql,
-479        }
-480
-481        TRANSFORMS.pop(exp.ReturnsProperty)
-482
-483        PROPERTIES_LOCATION = {
-484            **generator.Generator.PROPERTIES_LOCATION,
-485            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-486        }
-487
-488        LIMIT_FETCH = "FETCH"
-489
-490        def offset_sql(self, expression: exp.Offset) -> str:
-491            return f"{super().offset_sql(expression)} ROWS"
-492
-493        def systemtime_sql(self, expression: exp.SystemTime) -> str:
-494            kind = expression.args["kind"]
-495            if kind == "ALL":
-496                return "FOR SYSTEM_TIME ALL"
-497
-498            start = self.sql(expression, "this")
-499            if kind == "AS OF":
-500                return f"FOR SYSTEM_TIME AS OF {start}"
-501
-502            end = self.sql(expression, "expression")
-503            if kind == "FROM":
-504                return f"FOR SYSTEM_TIME FROM {start} TO {end}"
-505            if kind == "BETWEEN":
-506                return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}"
+            
    468    class Generator(generator.Generator):
+469        LOCKING_READS_SUPPORTED = True
+470
+471        TYPE_MAPPING = {
+472            **generator.Generator.TYPE_MAPPING,
+473            exp.DataType.Type.INT: "INTEGER",
+474            exp.DataType.Type.DECIMAL: "NUMERIC",
+475            exp.DataType.Type.DATETIME: "DATETIME2",
+476            exp.DataType.Type.VARIANT: "SQL_VARIANT",
+477        }
+478
+479        TRANSFORMS = {
+480            **generator.Generator.TRANSFORMS,
+481            exp.DateAdd: generate_date_delta_with_unit_sql,
+482            exp.DateDiff: generate_date_delta_with_unit_sql,
+483            exp.CurrentDate: rename_func("GETDATE"),
+484            exp.CurrentTimestamp: rename_func("GETDATE"),
+485            exp.GroupConcat: _string_agg_sql,
+486            exp.If: rename_func("IIF"),
+487            exp.Max: max_or_greatest,
+488            exp.MD5: lambda self, e: self.func("HASHBYTES", exp.Literal.string("MD5"), e.this),
+489            exp.Min: min_or_least,
+490            exp.NumberToStr: _format_sql,
+491            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+492            exp.SHA: lambda self, e: self.func("HASHBYTES", exp.Literal.string("SHA1"), e.this),
+493            exp.SHA2: lambda self, e: self.func(
+494                "HASHBYTES", exp.Literal.string(f"SHA2_{e.args.get('length', 256)}"), e.this
+495            ),
+496            exp.TimeToStr: _format_sql,
+497        }
+498
+499        TRANSFORMS.pop(exp.ReturnsProperty)
+500
+501        PROPERTIES_LOCATION = {
+502            **generator.Generator.PROPERTIES_LOCATION,
+503            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+504        }
+505
+506        LIMIT_FETCH = "FETCH"
 507
-508            return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})"
-509
-510        def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str:
-511            table = expression.args.get("table")
-512            table = f"{table} " if table else ""
-513            return f"RETURNS {table}{self.sql(expression, 'this')}"
+508        def offset_sql(self, expression: exp.Offset) -> str:
+509            return f"{super().offset_sql(expression)} ROWS"
+510
+511        def systemtime_sql(self, expression: exp.SystemTime) -> str:
+512            kind = expression.args["kind"]
+513            if kind == "ALL":
+514                return "FOR SYSTEM_TIME ALL"
+515
+516            start = self.sql(expression, "this")
+517            if kind == "AS OF":
+518                return f"FOR SYSTEM_TIME AS OF {start}"
+519
+520            end = self.sql(expression, "expression")
+521            if kind == "FROM":
+522                return f"FOR SYSTEM_TIME FROM {start} TO {end}"
+523            if kind == "BETWEEN":
+524                return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}"
+525
+526            return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})"
+527
+528        def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str:
+529            table = expression.args.get("table")
+530            table = f"{table} " if table else ""
+531            return f"RETURNS {table}{self.sql(expression, 'this')}"
 
    
 
 
@@ -1389,6 +1409,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -1431,8 +1453,8 @@ 
    Arguments:
    - 
    490        def offset_sql(self, expression: exp.Offset) -> str:
-491            return f"{super().offset_sql(expression)} ROWS"
+            
    508        def offset_sql(self, expression: exp.Offset) -> str:
+509            return f"{super().offset_sql(expression)} ROWS"
 
    
 
 
@@ -1450,22 +1472,22 @@ 
    Arguments:
    - 
    493        def systemtime_sql(self, expression: exp.SystemTime) -> str:
-494            kind = expression.args["kind"]
-495            if kind == "ALL":
-496                return "FOR SYSTEM_TIME ALL"
-497
-498            start = self.sql(expression, "this")
-499            if kind == "AS OF":
-500                return f"FOR SYSTEM_TIME AS OF {start}"
-501
-502            end = self.sql(expression, "expression")
-503            if kind == "FROM":
-504                return f"FOR SYSTEM_TIME FROM {start} TO {end}"
-505            if kind == "BETWEEN":
-506                return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}"
-507
-508            return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})"
+            
    511        def systemtime_sql(self, expression: exp.SystemTime) -> str:
+512            kind = expression.args["kind"]
+513            if kind == "ALL":
+514                return "FOR SYSTEM_TIME ALL"
+515
+516            start = self.sql(expression, "this")
+517            if kind == "AS OF":
+518                return f"FOR SYSTEM_TIME AS OF {start}"
+519
+520            end = self.sql(expression, "expression")
+521            if kind == "FROM":
+522                return f"FOR SYSTEM_TIME FROM {start} TO {end}"
+523            if kind == "BETWEEN":
+524                return f"FOR SYSTEM_TIME BETWEEN {start} AND {end}"
+525
+526            return f"FOR SYSTEM_TIME CONTAINED IN ({start}, {end})"
 
    
 
 
@@ -1483,10 +1505,10 @@ 
    Arguments:
    - 
    510        def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str:
-511            table = expression.args.get("table")
-512            table = f"{table} " if table else ""
-513            return f"RETURNS {table}{self.sql(expression, 'this')}"
+            
    528        def returnsproperty_sql(self, expression: exp.ReturnsProperty) -> str:
+529            table = expression.args.get("table")
+530            table = f"{table} " if table else ""
+531            return f"RETURNS {table}{self.sql(expression, 'this')}"
 
    
 
 
@@ -1532,6 +1554,7 @@ 
    Inherited Members
    
                 
    bitstring_sql
    
                 
    hexstring_sql
    
                 
    bytestring_sql
    
+                
    rawstring_sql
    
                 
    datatypesize_sql
    
                 
    datatype_sql
    
                 
    directory_sql
    
diff --git a/docs/sqlglot/diff.html b/docs/sqlglot/diff.html
index e7ca76fd55..12a4fe19ce 100644
--- a/docs/sqlglot/diff.html
+++ b/docs/sqlglot/diff.html
@@ -601,321 +601,322 @@ 
    References
    
      53
  54
  55if t.TYPE_CHECKING:
- 56    T = t.TypeVar("T")
- 57    Edit = t.Union[Insert, Remove, Move, Update, Keep]
- 58
+ 56    from sqlglot._typing import T
+ 57
+ 58    Edit = t.Union[Insert, Remove, Move, Update, Keep]
  59
- 60def diff(
- 61    source: exp.Expression,
- 62    target: exp.Expression,
- 63    matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
- 64    **kwargs: t.Any,
- 65) -> t.List[Edit]:
- 66    """
- 67    Returns the list of changes between the source and the target expressions.
- 68
- 69    Examples:
- 70        >>> diff(parse_one("a + b"), parse_one("a + c"))
- 71        [
- 72            Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),
- 73            Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),
- 74            Keep(
- 75                source=(ADD this: ...),
- 76                target=(ADD this: ...)
- 77            ),
- 78            Keep(
- 79                source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),
- 80                target=(COLUMN this: (IDENTIFIER this: a, quoted: False))
- 81            ),
- 82        ]
- 83
- 84    Args:
- 85        source: the source expression.
- 86        target: the target expression against which the diff should be calculated.
- 87        matchings: the list of pre-matched node pairs which is used to help the algorithm's
- 88            heuristics produce better results for subtrees that are known by a caller to be matching.
- 89            Note: expression references in this list must refer to the same node objects that are
- 90            referenced in source / target trees.
- 91
- 92    Returns:
- 93        the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the
- 94        target expression trees. This list represents a sequence of steps needed to transform the source
- 95        expression tree into the target one.
- 96    """
- 97    matchings = matchings or []
- 98    matching_ids = {id(n) for pair in matchings for n in pair}
- 99
-100    def compute_node_mappings(
-101        original: exp.Expression, copy: exp.Expression
-102    ) -> t.Dict[int, exp.Expression]:
-103        return {
-104            id(old_node): new_node
-105            for (old_node, _, _), (new_node, _, _) in zip(original.walk(), copy.walk())
-106            if id(old_node) in matching_ids
-107        }
-108
-109    source_copy = source.copy()
-110    target_copy = target.copy()
-111
-112    node_mappings = {
-113        **compute_node_mappings(source, source_copy),
-114        **compute_node_mappings(target, target_copy),
-115    }
-116    matchings_copy = [(node_mappings[id(s)], node_mappings[id(t)]) for s, t in matchings]
-117
-118    return ChangeDistiller(**kwargs).diff(source_copy, target_copy, matchings=matchings_copy)
-119
+ 60
+ 61def diff(
+ 62    source: exp.Expression,
+ 63    target: exp.Expression,
+ 64    matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
+ 65    **kwargs: t.Any,
+ 66) -> t.List[Edit]:
+ 67    """
+ 68    Returns the list of changes between the source and the target expressions.
+ 69
+ 70    Examples:
+ 71        >>> diff(parse_one("a + b"), parse_one("a + c"))
+ 72        [
+ 73            Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),
+ 74            Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),
+ 75            Keep(
+ 76                source=(ADD this: ...),
+ 77                target=(ADD this: ...)
+ 78            ),
+ 79            Keep(
+ 80                source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),
+ 81                target=(COLUMN this: (IDENTIFIER this: a, quoted: False))
+ 82            ),
+ 83        ]
+ 84
+ 85    Args:
+ 86        source: the source expression.
+ 87        target: the target expression against which the diff should be calculated.
+ 88        matchings: the list of pre-matched node pairs which is used to help the algorithm's
+ 89            heuristics produce better results for subtrees that are known by a caller to be matching.
+ 90            Note: expression references in this list must refer to the same node objects that are
+ 91            referenced in source / target trees.
+ 92
+ 93    Returns:
+ 94        the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the
+ 95        target expression trees. This list represents a sequence of steps needed to transform the source
+ 96        expression tree into the target one.
+ 97    """
+ 98    matchings = matchings or []
+ 99    matching_ids = {id(n) for pair in matchings for n in pair}
+100
+101    def compute_node_mappings(
+102        original: exp.Expression, copy: exp.Expression
+103    ) -> t.Dict[int, exp.Expression]:
+104        return {
+105            id(old_node): new_node
+106            for (old_node, _, _), (new_node, _, _) in zip(original.walk(), copy.walk())
+107            if id(old_node) in matching_ids
+108        }
+109
+110    source_copy = source.copy()
+111    target_copy = target.copy()
+112
+113    node_mappings = {
+114        **compute_node_mappings(source, source_copy),
+115        **compute_node_mappings(target, target_copy),
+116    }
+117    matchings_copy = [(node_mappings[id(s)], node_mappings[id(t)]) for s, t in matchings]
+118
+119    return ChangeDistiller(**kwargs).diff(source_copy, target_copy, matchings=matchings_copy)
 120
-121LEAF_EXPRESSION_TYPES = (
-122    exp.Boolean,
-123    exp.DataType,
-124    exp.Identifier,
-125    exp.Literal,
-126)
-127
+121
+122LEAF_EXPRESSION_TYPES = (
+123    exp.Boolean,
+124    exp.DataType,
+125    exp.Identifier,
+126    exp.Literal,
+127)
 128
-129class ChangeDistiller:
-130    """
-131    The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in
-132    their paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by
-133    Chawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.
-134    """
-135
-136    def __init__(self, f: float = 0.6, t: float = 0.6) -> None:
-137        self.f = f
-138        self.t = t
-139        self._sql_generator = Dialect().generator()
-140
-141    def diff(
-142        self,
-143        source: exp.Expression,
-144        target: exp.Expression,
-145        matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
-146    ) -> t.List[Edit]:
-147        matchings = matchings or []
-148        pre_matched_nodes = {id(s): id(t) for s, t in matchings}
-149        if len({n for pair in pre_matched_nodes.items() for n in pair}) != 2 * len(matchings):
-150            raise ValueError("Each node can be referenced at most once in the list of matchings")
-151
-152        self._source = source
-153        self._target = target
-154        self._source_index = {id(n): n for n, *_ in self._source.bfs()}
-155        self._target_index = {id(n): n for n, *_ in self._target.bfs()}
-156        self._unmatched_source_nodes = set(self._source_index) - set(pre_matched_nodes)
-157        self._unmatched_target_nodes = set(self._target_index) - set(pre_matched_nodes.values())
-158        self._bigram_histo_cache: t.Dict[int, t.DefaultDict[str, int]] = {}
-159
-160        matching_set = self._compute_matching_set() | {(s, t) for s, t in pre_matched_nodes.items()}
-161        return self._generate_edit_script(matching_set)
-162
-163    def _generate_edit_script(self, matching_set: t.Set[t.Tuple[int, int]]) -> t.List[Edit]:
-164        edit_script: t.List[Edit] = []
-165        for removed_node_id in self._unmatched_source_nodes:
-166            edit_script.append(Remove(self._source_index[removed_node_id]))
-167        for inserted_node_id in self._unmatched_target_nodes:
-168            edit_script.append(Insert(self._target_index[inserted_node_id]))
-169        for kept_source_node_id, kept_target_node_id in matching_set:
-170            source_node = self._source_index[kept_source_node_id]
-171            target_node = self._target_index[kept_target_node_id]
-172            if not isinstance(source_node, LEAF_EXPRESSION_TYPES) or source_node == target_node:
-173                edit_script.extend(
-174                    self._generate_move_edits(source_node, target_node, matching_set)
-175                )
-176                edit_script.append(Keep(source_node, target_node))
-177            else:
-178                edit_script.append(Update(source_node, target_node))
-179
-180        return edit_script
-181
-182    def _generate_move_edits(
-183        self, source: exp.Expression, target: exp.Expression, matching_set: t.Set[t.Tuple[int, int]]
-184    ) -> t.List[Move]:
-185        source_args = [id(e) for e in _expression_only_args(source)]
-186        target_args = [id(e) for e in _expression_only_args(target)]
-187
-188        args_lcs = set(_lcs(source_args, target_args, lambda l, r: (l, r) in matching_set))
-189
-190        move_edits = []
-191        for a in source_args:
-192            if a not in args_lcs and a not in self._unmatched_source_nodes:
-193                move_edits.append(Move(self._source_index[a]))
-194
-195        return move_edits
-196
-197    def _compute_matching_set(self) -> t.Set[t.Tuple[int, int]]:
-198        leaves_matching_set = self._compute_leaf_matching_set()
-199        matching_set = leaves_matching_set.copy()
-200
-201        ordered_unmatched_source_nodes = {
-202            id(n): None for n, *_ in self._source.bfs() if id(n) in self._unmatched_source_nodes
-203        }
-204        ordered_unmatched_target_nodes = {
-205            id(n): None for n, *_ in self._target.bfs() if id(n) in self._unmatched_target_nodes
-206        }
-207
-208        for source_node_id in ordered_unmatched_source_nodes:
-209            for target_node_id in ordered_unmatched_target_nodes:
-210                source_node = self._source_index[source_node_id]
-211                target_node = self._target_index[target_node_id]
-212                if _is_same_type(source_node, target_node):
-213                    source_leaf_ids = {id(l) for l in _get_leaves(source_node)}
-214                    target_leaf_ids = {id(l) for l in _get_leaves(target_node)}
-215
-216                    max_leaves_num = max(len(source_leaf_ids), len(target_leaf_ids))
-217                    if max_leaves_num:
-218                        common_leaves_num = sum(
-219                            1 if s in source_leaf_ids and t in target_leaf_ids else 0
-220                            for s, t in leaves_matching_set
-221                        )
-222                        leaf_similarity_score = common_leaves_num / max_leaves_num
-223                    else:
-224                        leaf_similarity_score = 0.0
-225
-226                    adjusted_t = (
-227                        self.t if min(len(source_leaf_ids), len(target_leaf_ids)) > 4 else 0.4
-228                    )
-229
-230                    if leaf_similarity_score >= 0.8 or (
-231                        leaf_similarity_score >= adjusted_t
-232                        and self._dice_coefficient(source_node, target_node) >= self.f
-233                    ):
-234                        matching_set.add((source_node_id, target_node_id))
-235                        self._unmatched_source_nodes.remove(source_node_id)
-236                        self._unmatched_target_nodes.remove(target_node_id)
-237                        ordered_unmatched_target_nodes.pop(target_node_id, None)
-238                        break
-239
-240        return matching_set
-241
-242    def _compute_leaf_matching_set(self) -> t.Set[t.Tuple[int, int]]:
-243        candidate_matchings: t.List[t.Tuple[float, int, int, exp.Expression, exp.Expression]] = []
-244        source_leaves = list(_get_leaves(self._source))
-245        target_leaves = list(_get_leaves(self._target))
-246        for source_leaf in source_leaves:
-247            for target_leaf in target_leaves:
-248                if _is_same_type(source_leaf, target_leaf):
-249                    similarity_score = self._dice_coefficient(source_leaf, target_leaf)
-250                    if similarity_score >= self.f:
-251                        heappush(
-252                            candidate_matchings,
-253                            (
-254                                -similarity_score,
-255                                -_parent_similarity_score(source_leaf, target_leaf),
-256                                len(candidate_matchings),
-257                                source_leaf,
-258                                target_leaf,
-259                            ),
-260                        )
-261
-262        # Pick best matchings based on the highest score
-263        matching_set = set()
-264        while candidate_matchings:
-265            _, _, _, source_leaf, target_leaf = heappop(candidate_matchings)
-266            if (
-267                id(source_leaf) in self._unmatched_source_nodes
-268                and id(target_leaf) in self._unmatched_target_nodes
-269            ):
-270                matching_set.add((id(source_leaf), id(target_leaf)))
-271                self._unmatched_source_nodes.remove(id(source_leaf))
-272                self._unmatched_target_nodes.remove(id(target_leaf))
-273
-274        return matching_set
-275
-276    def _dice_coefficient(self, source: exp.Expression, target: exp.Expression) -> float:
-277        source_histo = self._bigram_histo(source)
-278        target_histo = self._bigram_histo(target)
-279
-280        total_grams = sum(source_histo.values()) + sum(target_histo.values())
-281        if not total_grams:
-282            return 1.0 if source == target else 0.0
-283
-284        overlap_len = 0
-285        overlapping_grams = set(source_histo) & set(target_histo)
-286        for g in overlapping_grams:
-287            overlap_len += min(source_histo[g], target_histo[g])
-288
-289        return 2 * overlap_len / total_grams
-290
-291    def _bigram_histo(self, expression: exp.Expression) -> t.DefaultDict[str, int]:
-292        if id(expression) in self._bigram_histo_cache:
-293            return self._bigram_histo_cache[id(expression)]
-294
-295        expression_str = self._sql_generator.generate(expression)
-296        count = max(0, len(expression_str) - 1)
-297        bigram_histo: t.DefaultDict[str, int] = defaultdict(int)
-298        for i in range(count):
-299            bigram_histo[expression_str[i : i + 2]] += 1
-300
-301        self._bigram_histo_cache[id(expression)] = bigram_histo
-302        return bigram_histo
-303
+129
+130class ChangeDistiller:
+131    """
+132    The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in
+133    their paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by
+134    Chawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.
+135    """
+136
+137    def __init__(self, f: float = 0.6, t: float = 0.6) -> None:
+138        self.f = f
+139        self.t = t
+140        self._sql_generator = Dialect().generator()
+141
+142    def diff(
+143        self,
+144        source: exp.Expression,
+145        target: exp.Expression,
+146        matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
+147    ) -> t.List[Edit]:
+148        matchings = matchings or []
+149        pre_matched_nodes = {id(s): id(t) for s, t in matchings}
+150        if len({n for pair in pre_matched_nodes.items() for n in pair}) != 2 * len(matchings):
+151            raise ValueError("Each node can be referenced at most once in the list of matchings")
+152
+153        self._source = source
+154        self._target = target
+155        self._source_index = {id(n): n for n, *_ in self._source.bfs()}
+156        self._target_index = {id(n): n for n, *_ in self._target.bfs()}
+157        self._unmatched_source_nodes = set(self._source_index) - set(pre_matched_nodes)
+158        self._unmatched_target_nodes = set(self._target_index) - set(pre_matched_nodes.values())
+159        self._bigram_histo_cache: t.Dict[int, t.DefaultDict[str, int]] = {}
+160
+161        matching_set = self._compute_matching_set() | {(s, t) for s, t in pre_matched_nodes.items()}
+162        return self._generate_edit_script(matching_set)
+163
+164    def _generate_edit_script(self, matching_set: t.Set[t.Tuple[int, int]]) -> t.List[Edit]:
+165        edit_script: t.List[Edit] = []
+166        for removed_node_id in self._unmatched_source_nodes:
+167            edit_script.append(Remove(self._source_index[removed_node_id]))
+168        for inserted_node_id in self._unmatched_target_nodes:
+169            edit_script.append(Insert(self._target_index[inserted_node_id]))
+170        for kept_source_node_id, kept_target_node_id in matching_set:
+171            source_node = self._source_index[kept_source_node_id]
+172            target_node = self._target_index[kept_target_node_id]
+173            if not isinstance(source_node, LEAF_EXPRESSION_TYPES) or source_node == target_node:
+174                edit_script.extend(
+175                    self._generate_move_edits(source_node, target_node, matching_set)
+176                )
+177                edit_script.append(Keep(source_node, target_node))
+178            else:
+179                edit_script.append(Update(source_node, target_node))
+180
+181        return edit_script
+182
+183    def _generate_move_edits(
+184        self, source: exp.Expression, target: exp.Expression, matching_set: t.Set[t.Tuple[int, int]]
+185    ) -> t.List[Move]:
+186        source_args = [id(e) for e in _expression_only_args(source)]
+187        target_args = [id(e) for e in _expression_only_args(target)]
+188
+189        args_lcs = set(_lcs(source_args, target_args, lambda l, r: (l, r) in matching_set))
+190
+191        move_edits = []
+192        for a in source_args:
+193            if a not in args_lcs and a not in self._unmatched_source_nodes:
+194                move_edits.append(Move(self._source_index[a]))
+195
+196        return move_edits
+197
+198    def _compute_matching_set(self) -> t.Set[t.Tuple[int, int]]:
+199        leaves_matching_set = self._compute_leaf_matching_set()
+200        matching_set = leaves_matching_set.copy()
+201
+202        ordered_unmatched_source_nodes = {
+203            id(n): None for n, *_ in self._source.bfs() if id(n) in self._unmatched_source_nodes
+204        }
+205        ordered_unmatched_target_nodes = {
+206            id(n): None for n, *_ in self._target.bfs() if id(n) in self._unmatched_target_nodes
+207        }
+208
+209        for source_node_id in ordered_unmatched_source_nodes:
+210            for target_node_id in ordered_unmatched_target_nodes:
+211                source_node = self._source_index[source_node_id]
+212                target_node = self._target_index[target_node_id]
+213                if _is_same_type(source_node, target_node):
+214                    source_leaf_ids = {id(l) for l in _get_leaves(source_node)}
+215                    target_leaf_ids = {id(l) for l in _get_leaves(target_node)}
+216
+217                    max_leaves_num = max(len(source_leaf_ids), len(target_leaf_ids))
+218                    if max_leaves_num:
+219                        common_leaves_num = sum(
+220                            1 if s in source_leaf_ids and t in target_leaf_ids else 0
+221                            for s, t in leaves_matching_set
+222                        )
+223                        leaf_similarity_score = common_leaves_num / max_leaves_num
+224                    else:
+225                        leaf_similarity_score = 0.0
+226
+227                    adjusted_t = (
+228                        self.t if min(len(source_leaf_ids), len(target_leaf_ids)) > 4 else 0.4
+229                    )
+230
+231                    if leaf_similarity_score >= 0.8 or (
+232                        leaf_similarity_score >= adjusted_t
+233                        and self._dice_coefficient(source_node, target_node) >= self.f
+234                    ):
+235                        matching_set.add((source_node_id, target_node_id))
+236                        self._unmatched_source_nodes.remove(source_node_id)
+237                        self._unmatched_target_nodes.remove(target_node_id)
+238                        ordered_unmatched_target_nodes.pop(target_node_id, None)
+239                        break
+240
+241        return matching_set
+242
+243    def _compute_leaf_matching_set(self) -> t.Set[t.Tuple[int, int]]:
+244        candidate_matchings: t.List[t.Tuple[float, int, int, exp.Expression, exp.Expression]] = []
+245        source_leaves = list(_get_leaves(self._source))
+246        target_leaves = list(_get_leaves(self._target))
+247        for source_leaf in source_leaves:
+248            for target_leaf in target_leaves:
+249                if _is_same_type(source_leaf, target_leaf):
+250                    similarity_score = self._dice_coefficient(source_leaf, target_leaf)
+251                    if similarity_score >= self.f:
+252                        heappush(
+253                            candidate_matchings,
+254                            (
+255                                -similarity_score,
+256                                -_parent_similarity_score(source_leaf, target_leaf),
+257                                len(candidate_matchings),
+258                                source_leaf,
+259                                target_leaf,
+260                            ),
+261                        )
+262
+263        # Pick best matchings based on the highest score
+264        matching_set = set()
+265        while candidate_matchings:
+266            _, _, _, source_leaf, target_leaf = heappop(candidate_matchings)
+267            if (
+268                id(source_leaf) in self._unmatched_source_nodes
+269                and id(target_leaf) in self._unmatched_target_nodes
+270            ):
+271                matching_set.add((id(source_leaf), id(target_leaf)))
+272                self._unmatched_source_nodes.remove(id(source_leaf))
+273                self._unmatched_target_nodes.remove(id(target_leaf))
+274
+275        return matching_set
+276
+277    def _dice_coefficient(self, source: exp.Expression, target: exp.Expression) -> float:
+278        source_histo = self._bigram_histo(source)
+279        target_histo = self._bigram_histo(target)
+280
+281        total_grams = sum(source_histo.values()) + sum(target_histo.values())
+282        if not total_grams:
+283            return 1.0 if source == target else 0.0
+284
+285        overlap_len = 0
+286        overlapping_grams = set(source_histo) & set(target_histo)
+287        for g in overlapping_grams:
+288            overlap_len += min(source_histo[g], target_histo[g])
+289
+290        return 2 * overlap_len / total_grams
+291
+292    def _bigram_histo(self, expression: exp.Expression) -> t.DefaultDict[str, int]:
+293        if id(expression) in self._bigram_histo_cache:
+294            return self._bigram_histo_cache[id(expression)]
+295
+296        expression_str = self._sql_generator.generate(expression)
+297        count = max(0, len(expression_str) - 1)
+298        bigram_histo: t.DefaultDict[str, int] = defaultdict(int)
+299        for i in range(count):
+300            bigram_histo[expression_str[i : i + 2]] += 1
+301
+302        self._bigram_histo_cache[id(expression)] = bigram_histo
+303        return bigram_histo
 304
-305def _get_leaves(expression: exp.Expression) -> t.Iterator[exp.Expression]:
-306    has_child_exprs = False
-307
-308    for _, node in expression.iter_expressions():
-309        has_child_exprs = True
-310        yield from _get_leaves(node)
-311
-312    if not has_child_exprs:
-313        yield expression
-314
+305
+306def _get_leaves(expression: exp.Expression) -> t.Iterator[exp.Expression]:
+307    has_child_exprs = False
+308
+309    for _, node in expression.iter_expressions():
+310        has_child_exprs = True
+311        yield from _get_leaves(node)
+312
+313    if not has_child_exprs:
+314        yield expression
 315
-316def _is_same_type(source: exp.Expression, target: exp.Expression) -> bool:
-317    if type(source) is type(target) and (
-318        not isinstance(source, exp.Identifier) or type(source.parent) is type(target.parent)
-319    ):
-320        if isinstance(source, exp.Join):
-321            return source.args.get("side") == target.args.get("side")
-322
-323        if isinstance(source, exp.Anonymous):
-324            return source.this == target.this
-325
-326        return True
-327
-328    return False
-329
+316
+317def _is_same_type(source: exp.Expression, target: exp.Expression) -> bool:
+318    if type(source) is type(target) and (
+319        not isinstance(source, exp.Identifier) or type(source.parent) is type(target.parent)
+320    ):
+321        if isinstance(source, exp.Join):
+322            return source.args.get("side") == target.args.get("side")
+323
+324        if isinstance(source, exp.Anonymous):
+325            return source.this == target.this
+326
+327        return True
+328
+329    return False
 330
-331def _parent_similarity_score(
-332    source: t.Optional[exp.Expression], target: t.Optional[exp.Expression]
-333) -> int:
-334    if source is None or target is None or type(source) is not type(target):
-335        return 0
-336
-337    return 1 + _parent_similarity_score(source.parent, target.parent)
-338
+331
+332def _parent_similarity_score(
+333    source: t.Optional[exp.Expression], target: t.Optional[exp.Expression]
+334) -> int:
+335    if source is None or target is None or type(source) is not type(target):
+336        return 0
+337
+338    return 1 + _parent_similarity_score(source.parent, target.parent)
 339
-340def _expression_only_args(expression: exp.Expression) -> t.List[exp.Expression]:
-341    args: t.List[t.Union[exp.Expression, t.List]] = []
-342    if expression:
-343        for a in expression.args.values():
-344            args.extend(ensure_list(a))
-345    return [a for a in args if isinstance(a, exp.Expression)]
-346
+340
+341def _expression_only_args(expression: exp.Expression) -> t.List[exp.Expression]:
+342    args: t.List[t.Union[exp.Expression, t.List]] = []
+343    if expression:
+344        for a in expression.args.values():
+345            args.extend(ensure_list(a))
+346    return [a for a in args if isinstance(a, exp.Expression)]
 347
-348def _lcs(
-349    seq_a: t.Sequence[T], seq_b: t.Sequence[T], equal: t.Callable[[T, T], bool]
-350) -> t.Sequence[t.Optional[T]]:
-351    """Calculates the longest common subsequence"""
-352
-353    len_a = len(seq_a)
-354    len_b = len(seq_b)
-355    lcs_result = [[None] * (len_b + 1) for i in range(len_a + 1)]
-356
-357    for i in range(len_a + 1):
-358        for j in range(len_b + 1):
-359            if i == 0 or j == 0:
-360                lcs_result[i][j] = []  # type: ignore
-361            elif equal(seq_a[i - 1], seq_b[j - 1]):
-362                lcs_result[i][j] = lcs_result[i - 1][j - 1] + [seq_a[i - 1]]  # type: ignore
-363            else:
-364                lcs_result[i][j] = (
-365                    lcs_result[i - 1][j]
-366                    if len(lcs_result[i - 1][j]) > len(lcs_result[i][j - 1])  # type: ignore
-367                    else lcs_result[i][j - 1]
-368                )
-369
-370    return lcs_result[len_a][len_b]  # type: ignore
+348
+349def _lcs(
+350    seq_a: t.Sequence[T], seq_b: t.Sequence[T], equal: t.Callable[[T, T], bool]
+351) -> t.Sequence[t.Optional[T]]:
+352    """Calculates the longest common subsequence"""
+353
+354    len_a = len(seq_a)
+355    len_b = len(seq_b)
+356    lcs_result = [[None] * (len_b + 1) for i in range(len_a + 1)]
+357
+358    for i in range(len_a + 1):
+359        for j in range(len_b + 1):
+360            if i == 0 or j == 0:
+361                lcs_result[i][j] = []  # type: ignore
+362            elif equal(seq_a[i - 1], seq_b[j - 1]):
+363                lcs_result[i][j] = lcs_result[i - 1][j - 1] + [seq_a[i - 1]]  # type: ignore
+364            else:
+365                lcs_result[i][j] = (
+366                    lcs_result[i - 1][j]
+367                    if len(lcs_result[i - 1][j]) > len(lcs_result[i][j - 1])  # type: ignore
+368                    else lcs_result[i][j - 1]
+369                )
+370
+371    return lcs_result[len_a][len_b]  # type: ignore
    @@ -1118,65 +1119,65 @@

    References

    - 
     61def diff(
- 62    source: exp.Expression,
- 63    target: exp.Expression,
- 64    matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
- 65    **kwargs: t.Any,
- 66) -> t.List[Edit]:
- 67    """
- 68    Returns the list of changes between the source and the target expressions.
- 69
- 70    Examples:
- 71        >>> diff(parse_one("a + b"), parse_one("a + c"))
- 72        [
- 73            Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),
- 74            Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),
- 75            Keep(
- 76                source=(ADD this: ...),
- 77                target=(ADD this: ...)
- 78            ),
- 79            Keep(
- 80                source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),
- 81                target=(COLUMN this: (IDENTIFIER this: a, quoted: False))
- 82            ),
- 83        ]
- 84
- 85    Args:
- 86        source: the source expression.
- 87        target: the target expression against which the diff should be calculated.
- 88        matchings: the list of pre-matched node pairs which is used to help the algorithm's
- 89            heuristics produce better results for subtrees that are known by a caller to be matching.
- 90            Note: expression references in this list must refer to the same node objects that are
- 91            referenced in source / target trees.
- 92
- 93    Returns:
- 94        the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the
- 95        target expression trees. This list represents a sequence of steps needed to transform the source
- 96        expression tree into the target one.
- 97    """
- 98    matchings = matchings or []
- 99    matching_ids = {id(n) for pair in matchings for n in pair}
-100
-101    def compute_node_mappings(
-102        original: exp.Expression, copy: exp.Expression
-103    ) -> t.Dict[int, exp.Expression]:
-104        return {
-105            id(old_node): new_node
-106            for (old_node, _, _), (new_node, _, _) in zip(original.walk(), copy.walk())
-107            if id(old_node) in matching_ids
-108        }
-109
-110    source_copy = source.copy()
-111    target_copy = target.copy()
-112
-113    node_mappings = {
-114        **compute_node_mappings(source, source_copy),
-115        **compute_node_mappings(target, target_copy),
-116    }
-117    matchings_copy = [(node_mappings[id(s)], node_mappings[id(t)]) for s, t in matchings]
-118
-119    return ChangeDistiller(**kwargs).diff(source_copy, target_copy, matchings=matchings_copy)
+            
     62def diff(
+ 63    source: exp.Expression,
+ 64    target: exp.Expression,
+ 65    matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
+ 66    **kwargs: t.Any,
+ 67) -> t.List[Edit]:
+ 68    """
+ 69    Returns the list of changes between the source and the target expressions.
+ 70
+ 71    Examples:
+ 72        >>> diff(parse_one("a + b"), parse_one("a + c"))
+ 73        [
+ 74            Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),
+ 75            Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),
+ 76            Keep(
+ 77                source=(ADD this: ...),
+ 78                target=(ADD this: ...)
+ 79            ),
+ 80            Keep(
+ 81                source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),
+ 82                target=(COLUMN this: (IDENTIFIER this: a, quoted: False))
+ 83            ),
+ 84        ]
+ 85
+ 86    Args:
+ 87        source: the source expression.
+ 88        target: the target expression against which the diff should be calculated.
+ 89        matchings: the list of pre-matched node pairs which is used to help the algorithm's
+ 90            heuristics produce better results for subtrees that are known by a caller to be matching.
+ 91            Note: expression references in this list must refer to the same node objects that are
+ 92            referenced in source / target trees.
+ 93
+ 94    Returns:
+ 95        the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the
+ 96        target expression trees. This list represents a sequence of steps needed to transform the source
+ 97        expression tree into the target one.
+ 98    """
+ 99    matchings = matchings or []
+100    matching_ids = {id(n) for pair in matchings for n in pair}
+101
+102    def compute_node_mappings(
+103        original: exp.Expression, copy: exp.Expression
+104    ) -> t.Dict[int, exp.Expression]:
+105        return {
+106            id(old_node): new_node
+107            for (old_node, _, _), (new_node, _, _) in zip(original.walk(), copy.walk())
+108            if id(old_node) in matching_ids
+109        }
+110
+111    source_copy = source.copy()
+112    target_copy = target.copy()
+113
+114    node_mappings = {
+115        **compute_node_mappings(source, source_copy),
+116        **compute_node_mappings(target, target_copy),
+117    }
+118    matchings_copy = [(node_mappings[id(s)], node_mappings[id(t)]) for s, t in matchings]
+119
+120    return ChangeDistiller(**kwargs).diff(source_copy, target_copy, matchings=matchings_copy)
 
    
 
 
@@ -1236,180 +1237,180 @@ 
    Returns:
    - 
    130class ChangeDistiller:
-131    """
-132    The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in
-133    their paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by
-134    Chawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.
-135    """
-136
-137    def __init__(self, f: float = 0.6, t: float = 0.6) -> None:
-138        self.f = f
-139        self.t = t
-140        self._sql_generator = Dialect().generator()
-141
-142    def diff(
-143        self,
-144        source: exp.Expression,
-145        target: exp.Expression,
-146        matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
-147    ) -> t.List[Edit]:
-148        matchings = matchings or []
-149        pre_matched_nodes = {id(s): id(t) for s, t in matchings}
-150        if len({n for pair in pre_matched_nodes.items() for n in pair}) != 2 * len(matchings):
-151            raise ValueError("Each node can be referenced at most once in the list of matchings")
-152
-153        self._source = source
-154        self._target = target
-155        self._source_index = {id(n): n for n, *_ in self._source.bfs()}
-156        self._target_index = {id(n): n for n, *_ in self._target.bfs()}
-157        self._unmatched_source_nodes = set(self._source_index) - set(pre_matched_nodes)
-158        self._unmatched_target_nodes = set(self._target_index) - set(pre_matched_nodes.values())
-159        self._bigram_histo_cache: t.Dict[int, t.DefaultDict[str, int]] = {}
-160
-161        matching_set = self._compute_matching_set() | {(s, t) for s, t in pre_matched_nodes.items()}
-162        return self._generate_edit_script(matching_set)
-163
-164    def _generate_edit_script(self, matching_set: t.Set[t.Tuple[int, int]]) -> t.List[Edit]:
-165        edit_script: t.List[Edit] = []
-166        for removed_node_id in self._unmatched_source_nodes:
-167            edit_script.append(Remove(self._source_index[removed_node_id]))
-168        for inserted_node_id in self._unmatched_target_nodes:
-169            edit_script.append(Insert(self._target_index[inserted_node_id]))
-170        for kept_source_node_id, kept_target_node_id in matching_set:
-171            source_node = self._source_index[kept_source_node_id]
-172            target_node = self._target_index[kept_target_node_id]
-173            if not isinstance(source_node, LEAF_EXPRESSION_TYPES) or source_node == target_node:
-174                edit_script.extend(
-175                    self._generate_move_edits(source_node, target_node, matching_set)
-176                )
-177                edit_script.append(Keep(source_node, target_node))
-178            else:
-179                edit_script.append(Update(source_node, target_node))
-180
-181        return edit_script
-182
-183    def _generate_move_edits(
-184        self, source: exp.Expression, target: exp.Expression, matching_set: t.Set[t.Tuple[int, int]]
-185    ) -> t.List[Move]:
-186        source_args = [id(e) for e in _expression_only_args(source)]
-187        target_args = [id(e) for e in _expression_only_args(target)]
-188
-189        args_lcs = set(_lcs(source_args, target_args, lambda l, r: (l, r) in matching_set))
-190
-191        move_edits = []
-192        for a in source_args:
-193            if a not in args_lcs and a not in self._unmatched_source_nodes:
-194                move_edits.append(Move(self._source_index[a]))
-195
-196        return move_edits
-197
-198    def _compute_matching_set(self) -> t.Set[t.Tuple[int, int]]:
-199        leaves_matching_set = self._compute_leaf_matching_set()
-200        matching_set = leaves_matching_set.copy()
-201
-202        ordered_unmatched_source_nodes = {
-203            id(n): None for n, *_ in self._source.bfs() if id(n) in self._unmatched_source_nodes
-204        }
-205        ordered_unmatched_target_nodes = {
-206            id(n): None for n, *_ in self._target.bfs() if id(n) in self._unmatched_target_nodes
-207        }
-208
-209        for source_node_id in ordered_unmatched_source_nodes:
-210            for target_node_id in ordered_unmatched_target_nodes:
-211                source_node = self._source_index[source_node_id]
-212                target_node = self._target_index[target_node_id]
-213                if _is_same_type(source_node, target_node):
-214                    source_leaf_ids = {id(l) for l in _get_leaves(source_node)}
-215                    target_leaf_ids = {id(l) for l in _get_leaves(target_node)}
-216
-217                    max_leaves_num = max(len(source_leaf_ids), len(target_leaf_ids))
-218                    if max_leaves_num:
-219                        common_leaves_num = sum(
-220                            1 if s in source_leaf_ids and t in target_leaf_ids else 0
-221                            for s, t in leaves_matching_set
-222                        )
-223                        leaf_similarity_score = common_leaves_num / max_leaves_num
-224                    else:
-225                        leaf_similarity_score = 0.0
-226
-227                    adjusted_t = (
-228                        self.t if min(len(source_leaf_ids), len(target_leaf_ids)) > 4 else 0.4
-229                    )
-230
-231                    if leaf_similarity_score >= 0.8 or (
-232                        leaf_similarity_score >= adjusted_t
-233                        and self._dice_coefficient(source_node, target_node) >= self.f
-234                    ):
-235                        matching_set.add((source_node_id, target_node_id))
-236                        self._unmatched_source_nodes.remove(source_node_id)
-237                        self._unmatched_target_nodes.remove(target_node_id)
-238                        ordered_unmatched_target_nodes.pop(target_node_id, None)
-239                        break
-240
-241        return matching_set
-242
-243    def _compute_leaf_matching_set(self) -> t.Set[t.Tuple[int, int]]:
-244        candidate_matchings: t.List[t.Tuple[float, int, int, exp.Expression, exp.Expression]] = []
-245        source_leaves = list(_get_leaves(self._source))
-246        target_leaves = list(_get_leaves(self._target))
-247        for source_leaf in source_leaves:
-248            for target_leaf in target_leaves:
-249                if _is_same_type(source_leaf, target_leaf):
-250                    similarity_score = self._dice_coefficient(source_leaf, target_leaf)
-251                    if similarity_score >= self.f:
-252                        heappush(
-253                            candidate_matchings,
-254                            (
-255                                -similarity_score,
-256                                -_parent_similarity_score(source_leaf, target_leaf),
-257                                len(candidate_matchings),
-258                                source_leaf,
-259                                target_leaf,
-260                            ),
-261                        )
-262
-263        # Pick best matchings based on the highest score
-264        matching_set = set()
-265        while candidate_matchings:
-266            _, _, _, source_leaf, target_leaf = heappop(candidate_matchings)
-267            if (
-268                id(source_leaf) in self._unmatched_source_nodes
-269                and id(target_leaf) in self._unmatched_target_nodes
-270            ):
-271                matching_set.add((id(source_leaf), id(target_leaf)))
-272                self._unmatched_source_nodes.remove(id(source_leaf))
-273                self._unmatched_target_nodes.remove(id(target_leaf))
-274
-275        return matching_set
-276
-277    def _dice_coefficient(self, source: exp.Expression, target: exp.Expression) -> float:
-278        source_histo = self._bigram_histo(source)
-279        target_histo = self._bigram_histo(target)
-280
-281        total_grams = sum(source_histo.values()) + sum(target_histo.values())
-282        if not total_grams:
-283            return 1.0 if source == target else 0.0
-284
-285        overlap_len = 0
-286        overlapping_grams = set(source_histo) & set(target_histo)
-287        for g in overlapping_grams:
-288            overlap_len += min(source_histo[g], target_histo[g])
-289
-290        return 2 * overlap_len / total_grams
-291
-292    def _bigram_histo(self, expression: exp.Expression) -> t.DefaultDict[str, int]:
-293        if id(expression) in self._bigram_histo_cache:
-294            return self._bigram_histo_cache[id(expression)]
-295
-296        expression_str = self._sql_generator.generate(expression)
-297        count = max(0, len(expression_str) - 1)
-298        bigram_histo: t.DefaultDict[str, int] = defaultdict(int)
-299        for i in range(count):
-300            bigram_histo[expression_str[i : i + 2]] += 1
-301
-302        self._bigram_histo_cache[id(expression)] = bigram_histo
-303        return bigram_histo
+            
    131class ChangeDistiller:
+132    """
+133    The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in
+134    their paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by
+135    Chawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.
+136    """
+137
+138    def __init__(self, f: float = 0.6, t: float = 0.6) -> None:
+139        self.f = f
+140        self.t = t
+141        self._sql_generator = Dialect().generator()
+142
+143    def diff(
+144        self,
+145        source: exp.Expression,
+146        target: exp.Expression,
+147        matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
+148    ) -> t.List[Edit]:
+149        matchings = matchings or []
+150        pre_matched_nodes = {id(s): id(t) for s, t in matchings}
+151        if len({n for pair in pre_matched_nodes.items() for n in pair}) != 2 * len(matchings):
+152            raise ValueError("Each node can be referenced at most once in the list of matchings")
+153
+154        self._source = source
+155        self._target = target
+156        self._source_index = {id(n): n for n, *_ in self._source.bfs()}
+157        self._target_index = {id(n): n for n, *_ in self._target.bfs()}
+158        self._unmatched_source_nodes = set(self._source_index) - set(pre_matched_nodes)
+159        self._unmatched_target_nodes = set(self._target_index) - set(pre_matched_nodes.values())
+160        self._bigram_histo_cache: t.Dict[int, t.DefaultDict[str, int]] = {}
+161
+162        matching_set = self._compute_matching_set() | {(s, t) for s, t in pre_matched_nodes.items()}
+163        return self._generate_edit_script(matching_set)
+164
+165    def _generate_edit_script(self, matching_set: t.Set[t.Tuple[int, int]]) -> t.List[Edit]:
+166        edit_script: t.List[Edit] = []
+167        for removed_node_id in self._unmatched_source_nodes:
+168            edit_script.append(Remove(self._source_index[removed_node_id]))
+169        for inserted_node_id in self._unmatched_target_nodes:
+170            edit_script.append(Insert(self._target_index[inserted_node_id]))
+171        for kept_source_node_id, kept_target_node_id in matching_set:
+172            source_node = self._source_index[kept_source_node_id]
+173            target_node = self._target_index[kept_target_node_id]
+174            if not isinstance(source_node, LEAF_EXPRESSION_TYPES) or source_node == target_node:
+175                edit_script.extend(
+176                    self._generate_move_edits(source_node, target_node, matching_set)
+177                )
+178                edit_script.append(Keep(source_node, target_node))
+179            else:
+180                edit_script.append(Update(source_node, target_node))
+181
+182        return edit_script
+183
+184    def _generate_move_edits(
+185        self, source: exp.Expression, target: exp.Expression, matching_set: t.Set[t.Tuple[int, int]]
+186    ) -> t.List[Move]:
+187        source_args = [id(e) for e in _expression_only_args(source)]
+188        target_args = [id(e) for e in _expression_only_args(target)]
+189
+190        args_lcs = set(_lcs(source_args, target_args, lambda l, r: (l, r) in matching_set))
+191
+192        move_edits = []
+193        for a in source_args:
+194            if a not in args_lcs and a not in self._unmatched_source_nodes:
+195                move_edits.append(Move(self._source_index[a]))
+196
+197        return move_edits
+198
+199    def _compute_matching_set(self) -> t.Set[t.Tuple[int, int]]:
+200        leaves_matching_set = self._compute_leaf_matching_set()
+201        matching_set = leaves_matching_set.copy()
+202
+203        ordered_unmatched_source_nodes = {
+204            id(n): None for n, *_ in self._source.bfs() if id(n) in self._unmatched_source_nodes
+205        }
+206        ordered_unmatched_target_nodes = {
+207            id(n): None for n, *_ in self._target.bfs() if id(n) in self._unmatched_target_nodes
+208        }
+209
+210        for source_node_id in ordered_unmatched_source_nodes:
+211            for target_node_id in ordered_unmatched_target_nodes:
+212                source_node = self._source_index[source_node_id]
+213                target_node = self._target_index[target_node_id]
+214                if _is_same_type(source_node, target_node):
+215                    source_leaf_ids = {id(l) for l in _get_leaves(source_node)}
+216                    target_leaf_ids = {id(l) for l in _get_leaves(target_node)}
+217
+218                    max_leaves_num = max(len(source_leaf_ids), len(target_leaf_ids))
+219                    if max_leaves_num:
+220                        common_leaves_num = sum(
+221                            1 if s in source_leaf_ids and t in target_leaf_ids else 0
+222                            for s, t in leaves_matching_set
+223                        )
+224                        leaf_similarity_score = common_leaves_num / max_leaves_num
+225                    else:
+226                        leaf_similarity_score = 0.0
+227
+228                    adjusted_t = (
+229                        self.t if min(len(source_leaf_ids), len(target_leaf_ids)) > 4 else 0.4
+230                    )
+231
+232                    if leaf_similarity_score >= 0.8 or (
+233                        leaf_similarity_score >= adjusted_t
+234                        and self._dice_coefficient(source_node, target_node) >= self.f
+235                    ):
+236                        matching_set.add((source_node_id, target_node_id))
+237                        self._unmatched_source_nodes.remove(source_node_id)
+238                        self._unmatched_target_nodes.remove(target_node_id)
+239                        ordered_unmatched_target_nodes.pop(target_node_id, None)
+240                        break
+241
+242        return matching_set
+243
+244    def _compute_leaf_matching_set(self) -> t.Set[t.Tuple[int, int]]:
+245        candidate_matchings: t.List[t.Tuple[float, int, int, exp.Expression, exp.Expression]] = []
+246        source_leaves = list(_get_leaves(self._source))
+247        target_leaves = list(_get_leaves(self._target))
+248        for source_leaf in source_leaves:
+249            for target_leaf in target_leaves:
+250                if _is_same_type(source_leaf, target_leaf):
+251                    similarity_score = self._dice_coefficient(source_leaf, target_leaf)
+252                    if similarity_score >= self.f:
+253                        heappush(
+254                            candidate_matchings,
+255                            (
+256                                -similarity_score,
+257                                -_parent_similarity_score(source_leaf, target_leaf),
+258                                len(candidate_matchings),
+259                                source_leaf,
+260                                target_leaf,
+261                            ),
+262                        )
+263
+264        # Pick best matchings based on the highest score
+265        matching_set = set()
+266        while candidate_matchings:
+267            _, _, _, source_leaf, target_leaf = heappop(candidate_matchings)
+268            if (
+269                id(source_leaf) in self._unmatched_source_nodes
+270                and id(target_leaf) in self._unmatched_target_nodes
+271            ):
+272                matching_set.add((id(source_leaf), id(target_leaf)))
+273                self._unmatched_source_nodes.remove(id(source_leaf))
+274                self._unmatched_target_nodes.remove(id(target_leaf))
+275
+276        return matching_set
+277
+278    def _dice_coefficient(self, source: exp.Expression, target: exp.Expression) -> float:
+279        source_histo = self._bigram_histo(source)
+280        target_histo = self._bigram_histo(target)
+281
+282        total_grams = sum(source_histo.values()) + sum(target_histo.values())
+283        if not total_grams:
+284            return 1.0 if source == target else 0.0
+285
+286        overlap_len = 0
+287        overlapping_grams = set(source_histo) & set(target_histo)
+288        for g in overlapping_grams:
+289            overlap_len += min(source_histo[g], target_histo[g])
+290
+291        return 2 * overlap_len / total_grams
+292
+293    def _bigram_histo(self, expression: exp.Expression) -> t.DefaultDict[str, int]:
+294        if id(expression) in self._bigram_histo_cache:
+295            return self._bigram_histo_cache[id(expression)]
+296
+297        expression_str = self._sql_generator.generate(expression)
+298        count = max(0, len(expression_str) - 1)
+299        bigram_histo: t.DefaultDict[str, int] = defaultdict(int)
+300        for i in range(count):
+301            bigram_histo[expression_str[i : i + 2]] += 1
+302
+303        self._bigram_histo_cache[id(expression)] = bigram_histo
+304        return bigram_histo
 
    
 
 
@@ -1429,10 +1430,10 @@ 
    Returns:
    - 
    137    def __init__(self, f: float = 0.6, t: float = 0.6) -> None:
-138        self.f = f
-139        self.t = t
-140        self._sql_generator = Dialect().generator()
+            
    138    def __init__(self, f: float = 0.6, t: float = 0.6) -> None:
+139        self.f = f
+140        self.t = t
+141        self._sql_generator = Dialect().generator()
 
    
 
 
@@ -1450,27 +1451,27 @@ 
    Returns:
    - 
    142    def diff(
-143        self,
-144        source: exp.Expression,
-145        target: exp.Expression,
-146        matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
-147    ) -> t.List[Edit]:
-148        matchings = matchings or []
-149        pre_matched_nodes = {id(s): id(t) for s, t in matchings}
-150        if len({n for pair in pre_matched_nodes.items() for n in pair}) != 2 * len(matchings):
-151            raise ValueError("Each node can be referenced at most once in the list of matchings")
-152
-153        self._source = source
-154        self._target = target
-155        self._source_index = {id(n): n for n, *_ in self._source.bfs()}
-156        self._target_index = {id(n): n for n, *_ in self._target.bfs()}
-157        self._unmatched_source_nodes = set(self._source_index) - set(pre_matched_nodes)
-158        self._unmatched_target_nodes = set(self._target_index) - set(pre_matched_nodes.values())
-159        self._bigram_histo_cache: t.Dict[int, t.DefaultDict[str, int]] = {}
-160
-161        matching_set = self._compute_matching_set() | {(s, t) for s, t in pre_matched_nodes.items()}
-162        return self._generate_edit_script(matching_set)
+            
    143    def diff(
+144        self,
+145        source: exp.Expression,
+146        target: exp.Expression,
+147        matchings: t.List[t.Tuple[exp.Expression, exp.Expression]] | None = None,
+148    ) -> t.List[Edit]:
+149        matchings = matchings or []
+150        pre_matched_nodes = {id(s): id(t) for s, t in matchings}
+151        if len({n for pair in pre_matched_nodes.items() for n in pair}) != 2 * len(matchings):
+152            raise ValueError("Each node can be referenced at most once in the list of matchings")
+153
+154        self._source = source
+155        self._target = target
+156        self._source_index = {id(n): n for n, *_ in self._source.bfs()}
+157        self._target_index = {id(n): n for n, *_ in self._target.bfs()}
+158        self._unmatched_source_nodes = set(self._source_index) - set(pre_matched_nodes)
+159        self._unmatched_target_nodes = set(self._target_index) - set(pre_matched_nodes.values())
+160        self._bigram_histo_cache: t.Dict[int, t.DefaultDict[str, int]] = {}
+161
+162        matching_set = self._compute_matching_set() | {(s, t) for s, t in pre_matched_nodes.items()}
+163        return self._generate_edit_script(matching_set)
 
    
 
 
diff --git a/docs/sqlglot/executor/env.html b/docs/sqlglot/executor/env.html
index 8cb2b48b76..642ab8e1a3 100644
--- a/docs/sqlglot/executor/env.html
+++ b/docs/sqlglot/executor/env.html
@@ -237,43 +237,44 @@ 
    
 152    "COALESCE": lambda *args: next((a for a in args if a is not None), None),
 153    "CONCAT": null_if_any(lambda *args: "".join(args)),
 154    "CONCATWS": null_if_any(lambda this, *args: this.join(args)),
-155    "DIV": null_if_any(lambda e, this: e / this),
-156    "DOT": null_if_any(lambda e, this: e[this]),
-157    "EQ": null_if_any(lambda this, e: this == e),
-158    "EXTRACT": null_if_any(lambda this, e: getattr(e, this)),
-159    "GT": null_if_any(lambda this, e: this > e),
-160    "GTE": null_if_any(lambda this, e: this >= e),
-161    "IFNULL": lambda e, alt: alt if e is None else e,
-162    "IF": lambda predicate, true, false: true if predicate else false,
-163    "INTDIV": null_if_any(lambda e, this: e // this),
-164    "INTERVAL": interval,
-165    "LIKE": null_if_any(
-166        lambda this, e: bool(re.match(e.replace("_", ".").replace("%", ".*"), this))
-167    ),
-168    "LOWER": null_if_any(lambda arg: arg.lower()),
-169    "LT": null_if_any(lambda this, e: this < e),
-170    "LTE": null_if_any(lambda this, e: this <= e),
-171    "MAP": null_if_any(lambda k, v: dict(zip(k, v))),
-172    "MOD": null_if_any(lambda e, this: e % this),
-173    "MUL": null_if_any(lambda e, this: e * this),
-174    "NEQ": null_if_any(lambda this, e: this != e),
-175    "ORD": null_if_any(ord),
-176    "ORDERED": ordered,
-177    "POW": pow,
-178    "STRPOSITION": str_position,
-179    "SUB": null_if_any(lambda e, this: e - this),
-180    "SUBSTRING": substring,
-181    "TIMESTRTOTIME": null_if_any(lambda arg: datetime.datetime.fromisoformat(arg)),
-182    "UPPER": null_if_any(lambda arg: arg.upper()),
-183    "YEAR": null_if_any(lambda arg: arg.year),
-184    "MONTH": null_if_any(lambda arg: arg.month),
-185    "DAY": null_if_any(lambda arg: arg.day),
-186    "CURRENTDATETIME": datetime.datetime.now,
-187    "CURRENTTIMESTAMP": datetime.datetime.now,
-188    "CURRENTTIME": datetime.datetime.now,
-189    "CURRENTDATE": datetime.date.today,
-190    "STRFTIME": null_if_any(lambda fmt, arg: datetime.datetime.fromisoformat(arg).strftime(fmt)),
-191}
+155    "DATESTRTODATE": null_if_any(lambda arg: datetime.date.fromisoformat(arg)),
+156    "DIV": null_if_any(lambda e, this: e / this),
+157    "DOT": null_if_any(lambda e, this: e[this]),
+158    "EQ": null_if_any(lambda this, e: this == e),
+159    "EXTRACT": null_if_any(lambda this, e: getattr(e, this)),
+160    "GT": null_if_any(lambda this, e: this > e),
+161    "GTE": null_if_any(lambda this, e: this >= e),
+162    "IFNULL": lambda e, alt: alt if e is None else e,
+163    "IF": lambda predicate, true, false: true if predicate else false,
+164    "INTDIV": null_if_any(lambda e, this: e // this),
+165    "INTERVAL": interval,
+166    "LIKE": null_if_any(
+167        lambda this, e: bool(re.match(e.replace("_", ".").replace("%", ".*"), this))
+168    ),
+169    "LOWER": null_if_any(lambda arg: arg.lower()),
+170    "LT": null_if_any(lambda this, e: this < e),
+171    "LTE": null_if_any(lambda this, e: this <= e),
+172    "MAP": null_if_any(lambda k, v: dict(zip(k, v))),
+173    "MOD": null_if_any(lambda e, this: e % this),
+174    "MUL": null_if_any(lambda e, this: e * this),
+175    "NEQ": null_if_any(lambda this, e: this != e),
+176    "ORD": null_if_any(ord),
+177    "ORDERED": ordered,
+178    "POW": pow,
+179    "STRPOSITION": str_position,
+180    "SUB": null_if_any(lambda e, this: e - this),
+181    "SUBSTRING": substring,
+182    "TIMESTRTOTIME": null_if_any(lambda arg: datetime.datetime.fromisoformat(arg)),
+183    "UPPER": null_if_any(lambda arg: arg.upper()),
+184    "YEAR": null_if_any(lambda arg: arg.year),
+185    "MONTH": null_if_any(lambda arg: arg.month),
+186    "DAY": null_if_any(lambda arg: arg.day),
+187    "CURRENTDATETIME": datetime.datetime.now,
+188    "CURRENTTIMESTAMP": datetime.datetime.now,
+189    "CURRENTTIME": datetime.datetime.now,
+190    "CURRENTDATE": datetime.date.today,
+191    "STRFTIME": null_if_any(lambda fmt, arg: datetime.datetime.fromisoformat(arg).strftime(fmt)),
+192}
    diff --git a/docs/sqlglot/executor/python.html b/docs/sqlglot/executor/python.html index 1922b0ba51..f4f5ba9d19 100644 --- a/docs/sqlglot/executor/python.html +++ b/docs/sqlglot/executor/python.html @@ -1632,6 +1632,8 @@
    Arguments:
  • hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
  • byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
  • byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
    • +
  • raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
    • +
  • raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
  • identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
  • normalize (bool): if set to True all identifiers will lower cased
  • string_escape (str): specifies a string escape character. Default: '.
    • @@ -1702,6 +1704,7 @@
    Inherited Members
    bitstring_sql
    hexstring_sql
    bytestring_sql
    +
    rawstring_sql
    datatypesize_sql
    datatype_sql
    directory_sql
    diff --git a/docs/sqlglot/expressions.html b/docs/sqlglot/expressions.html index 4d582299f1..472d430275 100644 --- a/docs/sqlglot/expressions.html +++ b/docs/sqlglot/expressions.html @@ -337,6 +337,12 @@

    API Documentation

    + +
  • + RawString +
      +
    +
  • Column @@ -3203,5566 +3209,5747 @@

    API Documentation

    21from copy import deepcopy 22from enum import auto 23 - 24from sqlglot.errors import ParseError - 25from sqlglot.helper import ( - 26 AutoName, - 27 camel_to_snake_case, - 28 ensure_collection, - 29 ensure_list, - 30 seq_get, - 31 subclasses, - 32) - 33from sqlglot.tokens import Token - 34 - 35if t.TYPE_CHECKING: - 36 from sqlglot.dialects.dialect import DialectType - 37 - 38E = t.TypeVar("E", bound="Expression") + 24from sqlglot._typing import E + 25from sqlglot.errors import ParseError + 26from sqlglot.helper import ( + 27 AutoName, + 28 camel_to_snake_case, + 29 ensure_collection, + 30 ensure_list, + 31 seq_get, + 32 subclasses, + 33) + 34from sqlglot.tokens import Token + 35 + 36if t.TYPE_CHECKING: + 37 from sqlglot.dialects.dialect import DialectType + 38 39 - 40 - 41class _Expression(type): - 42 def __new__(cls, clsname, bases, attrs): - 43 klass = super().__new__(cls, clsname, bases, attrs) - 44 - 45 # When an Expression class is created, its key is automatically set to be - 46 # the lowercase version of the class' name. - 47 klass.key = clsname.lower() - 48 - 49 # This is so that docstrings are not inherited in pdoc - 50 klass.__doc__ = klass.__doc__ or "" - 51 - 52 return klass + 40class _Expression(type): + 41 def __new__(cls, clsname, bases, attrs): + 42 klass = super().__new__(cls, clsname, bases, attrs) + 43 + 44 # When an Expression class is created, its key is automatically set to be + 45 # the lowercase version of the class' name. + 46 klass.key = clsname.lower() + 47 + 48 # This is so that docstrings are not inherited in pdoc + 49 klass.__doc__ = klass.__doc__ or "" + 50 + 51 return klass + 52 53 - 54 - 55class Expression(metaclass=_Expression): - 56 """ - 57 The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary - 58 context, such as its child expressions, their names (arg keys), and whether a given child expression - 59 is optional or not. - 60 - 61 Attributes: - 62 key: a unique key for each class in the Expression hierarchy. This is useful for hashing - 63 and representing expressions as strings. - 64 arg_types: determines what arguments (child nodes) are supported by an expression. It - 65 maps arg keys to booleans that indicate whether the corresponding args are optional. - 66 parent: a reference to the parent expression (or None, in case of root expressions). - 67 arg_key: the arg key an expression is associated with, i.e. the name its parent expression - 68 uses to refer to it. - 69 comments: a list of comments that are associated with a given expression. This is used in - 70 order to preserve comments when transpiling SQL code. - 71 _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the - 72 optimizer, in order to enable some transformations that require type information. - 73 - 74 Example: - 75 >>> class Foo(Expression): - 76 ... arg_types = {"this": True, "expression": False} - 77 - 78 The above definition informs us that Foo is an Expression that requires an argument called - 79 "this" and may also optionally receive an argument called "expression". - 80 - 81 Args: - 82 args: a mapping used for retrieving the arguments of an expression, given their arg keys. - 83 """ - 84 - 85 key = "expression" - 86 arg_types = {"this": True} - 87 __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta", "_hash") - 88 - 89 def __init__(self, **args: t.Any): - 90 self.args: t.Dict[str, t.Any] = args - 91 self.parent: t.Optional[Expression] = None - 92 self.arg_key: t.Optional[str] = None - 93 self.comments: t.Optional[t.List[str]] = None - 94 self._type: t.Optional[DataType] = None - 95 self._meta: t.Optional[t.Dict[str, t.Any]] = None - 96 self._hash: t.Optional[int] = None - 97 - 98 for arg_key, value in self.args.items(): - 99 self._set_parent(arg_key, value) - 100 - 101 def __eq__(self, other) -> bool: - 102 return type(self) is type(other) and hash(self) == hash(other) - 103 - 104 @property - 105 def hashable_args(self) -> t.Any: - 106 args = (self.args.get(k) for k in self.arg_types) - 107 - 108 return tuple( - 109 (tuple(_norm_arg(a) for a in arg) if arg else None) - 110 if type(arg) is list - 111 else (_norm_arg(arg) if arg is not None and arg is not False else None) - 112 for arg in args - 113 ) - 114 - 115 def __hash__(self) -> int: - 116 if self._hash is not None: - 117 return self._hash - 118 - 119 return hash((self.__class__, self.hashable_args)) - 120 - 121 @property - 122 def this(self): - 123 """ - 124 Retrieves the argument with key "this". - 125 """ - 126 return self.args.get("this") - 127 - 128 @property - 129 def expression(self): - 130 """ - 131 Retrieves the argument with key "expression". - 132 """ - 133 return self.args.get("expression") - 134 - 135 @property - 136 def expressions(self): - 137 """ - 138 Retrieves the argument with key "expressions". - 139 """ - 140 return self.args.get("expressions") or [] - 141 - 142 def text(self, key) -> str: - 143 """ - 144 Returns a textual representation of the argument corresponding to "key". This can only be used - 145 for args that are strings or leaf Expression instances, such as identifiers and literals. - 146 """ - 147 field = self.args.get(key) - 148 if isinstance(field, str): - 149 return field - 150 if isinstance(field, (Identifier, Literal, Var)): - 151 return field.this - 152 if isinstance(field, (Star, Null)): - 153 return field.name - 154 return "" - 155 - 156 @property - 157 def is_string(self) -> bool: - 158 """ - 159 Checks whether a Literal expression is a string. - 160 """ - 161 return isinstance(self, Literal) and self.args["is_string"] - 162 - 163 @property - 164 def is_number(self) -> bool: - 165 """ - 166 Checks whether a Literal expression is a number. - 167 """ - 168 return isinstance(self, Literal) and not self.args["is_string"] - 169 - 170 @property - 171 def is_int(self) -> bool: - 172 """ - 173 Checks whether a Literal expression is an integer. - 174 """ - 175 if self.is_number: - 176 try: - 177 int(self.name) - 178 return True - 179 except ValueError: - 180 pass - 181 return False - 182 - 183 @property - 184 def is_star(self) -> bool: - 185 """Checks whether an expression is a star.""" - 186 return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star)) - 187 - 188 @property - 189 def alias(self) -> str: - 190 """ - 191 Returns the alias of the expression, or an empty string if it's not aliased. - 192 """ - 193 if isinstance(self.args.get("alias"), TableAlias): - 194 return self.args["alias"].name - 195 return self.text("alias") - 196 - 197 @property - 198 def name(self) -> str: - 199 return self.text("this") - 200 - 201 @property - 202 def alias_or_name(self): - 203 return self.alias or self.name - 204 - 205 @property - 206 def output_name(self): - 207 """ - 208 Name of the output column if this expression is a selection. - 209 - 210 If the Expression has no output name, an empty string is returned. - 211 - 212 Example: - 213 >>> from sqlglot import parse_one - 214 >>> parse_one("SELECT a").expressions[0].output_name - 215 'a' - 216 >>> parse_one("SELECT b AS c").expressions[0].output_name - 217 'c' - 218 >>> parse_one("SELECT 1 + 2").expressions[0].output_name - 219 '' - 220 """ - 221 return "" - 222 - 223 @property - 224 def type(self) -> t.Optional[DataType]: - 225 return self._type - 226 - 227 @type.setter - 228 def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None: - 229 if dtype and not isinstance(dtype, DataType): - 230 dtype = DataType.build(dtype) - 231 self._type = dtype # type: ignore - 232 - 233 @property - 234 def meta(self) -> t.Dict[str, t.Any]: - 235 if self._meta is None: - 236 self._meta = {} - 237 return self._meta - 238 - 239 def __deepcopy__(self, memo): - 240 copy = self.__class__(**deepcopy(self.args)) - 241 if self.comments is not None: - 242 copy.comments = deepcopy(self.comments) - 243 - 244 if self._type is not None: - 245 copy._type = self._type.copy() - 246 - 247 if self._meta is not None: - 248 copy._meta = deepcopy(self._meta) - 249 - 250 return copy - 251 - 252 def copy(self): - 253 """ - 254 Returns a deep copy of the expression. - 255 """ - 256 new = deepcopy(self) - 257 new.parent = self.parent - 258 return new - 259 - 260 def add_comments(self, comments: t.Optional[t.List[str]]) -> None: - 261 if self.comments is None: - 262 self.comments = [] - 263 if comments: - 264 self.comments.extend(comments) - 265 - 266 def append(self, arg_key, value): - 267 """ - 268 Appends value to arg_key if it's a list or sets it as a new list. - 269 - 270 Args: - 271 arg_key (str): name of the list expression arg - 272 value (Any): value to append to the list - 273 """ - 274 if not isinstance(self.args.get(arg_key), list): - 275 self.args[arg_key] = [] - 276 self.args[arg_key].append(value) - 277 self._set_parent(arg_key, value) - 278 - 279 def set(self, arg_key, value): - 280 """ - 281 Sets `arg_key` to `value`. - 282 - 283 Args: - 284 arg_key (str): name of the expression arg. - 285 value: value to set the arg to. - 286 """ - 287 self.args[arg_key] = value - 288 self._set_parent(arg_key, value) - 289 - 290 def _set_parent(self, arg_key, value): - 291 if hasattr(value, "parent"): - 292 value.parent = self - 293 value.arg_key = arg_key - 294 elif type(value) is list: - 295 for v in value: - 296 if hasattr(v, "parent"): - 297 v.parent = self - 298 v.arg_key = arg_key - 299 - 300 @property - 301 def depth(self): - 302 """ - 303 Returns the depth of this tree. - 304 """ - 305 if self.parent: - 306 return self.parent.depth + 1 - 307 return 0 - 308 - 309 def iter_expressions(self) -> t.Iterator[t.Tuple[str, Expression]]: - 310 """Yields the key and expression for all arguments, exploding list args.""" - 311 for k, vs in self.args.items(): - 312 if type(vs) is list: - 313 for v in vs: - 314 if hasattr(v, "parent"): - 315 yield k, v - 316 else: - 317 if hasattr(vs, "parent"): - 318 yield k, vs - 319 - 320 def find(self, *expression_types: t.Type[E], bfs=True) -> E | None: - 321 """ - 322 Returns the first node in this tree which matches at least one of - 323 the specified types. - 324 - 325 Args: - 326 expression_types: the expression type(s) to match. + 54class Expression(metaclass=_Expression): + 55 """ + 56 The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary + 57 context, such as its child expressions, their names (arg keys), and whether a given child expression + 58 is optional or not. + 59 + 60 Attributes: + 61 key: a unique key for each class in the Expression hierarchy. This is useful for hashing + 62 and representing expressions as strings. + 63 arg_types: determines what arguments (child nodes) are supported by an expression. It + 64 maps arg keys to booleans that indicate whether the corresponding args are optional. + 65 parent: a reference to the parent expression (or None, in case of root expressions). + 66 arg_key: the arg key an expression is associated with, i.e. the name its parent expression + 67 uses to refer to it. + 68 comments: a list of comments that are associated with a given expression. This is used in + 69 order to preserve comments when transpiling SQL code. + 70 _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the + 71 optimizer, in order to enable some transformations that require type information. + 72 + 73 Example: + 74 >>> class Foo(Expression): + 75 ... arg_types = {"this": True, "expression": False} + 76 + 77 The above definition informs us that Foo is an Expression that requires an argument called + 78 "this" and may also optionally receive an argument called "expression". + 79 + 80 Args: + 81 args: a mapping used for retrieving the arguments of an expression, given their arg keys. + 82 """ + 83 + 84 key = "expression" + 85 arg_types = {"this": True} + 86 __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta", "_hash") + 87 + 88 def __init__(self, **args: t.Any): + 89 self.args: t.Dict[str, t.Any] = args + 90 self.parent: t.Optional[Expression] = None + 91 self.arg_key: t.Optional[str] = None + 92 self.comments: t.Optional[t.List[str]] = None + 93 self._type: t.Optional[DataType] = None + 94 self._meta: t.Optional[t.Dict[str, t.Any]] = None + 95 self._hash: t.Optional[int] = None + 96 + 97 for arg_key, value in self.args.items(): + 98 self._set_parent(arg_key, value) + 99 + 100 def __eq__(self, other) -> bool: + 101 return type(self) is type(other) and hash(self) == hash(other) + 102 + 103 @property + 104 def hashable_args(self) -> t.Any: + 105 args = (self.args.get(k) for k in self.arg_types) + 106 + 107 return tuple( + 108 (tuple(_norm_arg(a) for a in arg) if arg else None) + 109 if type(arg) is list + 110 else (_norm_arg(arg) if arg is not None and arg is not False else None) + 111 for arg in args + 112 ) + 113 + 114 def __hash__(self) -> int: + 115 if self._hash is not None: + 116 return self._hash + 117 + 118 return hash((self.__class__, self.hashable_args)) + 119 + 120 @property + 121 def this(self): + 122 """ + 123 Retrieves the argument with key "this". + 124 """ + 125 return self.args.get("this") + 126 + 127 @property + 128 def expression(self): + 129 """ + 130 Retrieves the argument with key "expression". + 131 """ + 132 return self.args.get("expression") + 133 + 134 @property + 135 def expressions(self): + 136 """ + 137 Retrieves the argument with key "expressions". + 138 """ + 139 return self.args.get("expressions") or [] + 140 + 141 def text(self, key) -> str: + 142 """ + 143 Returns a textual representation of the argument corresponding to "key". This can only be used + 144 for args that are strings or leaf Expression instances, such as identifiers and literals. + 145 """ + 146 field = self.args.get(key) + 147 if isinstance(field, str): + 148 return field + 149 if isinstance(field, (Identifier, Literal, Var)): + 150 return field.this + 151 if isinstance(field, (Star, Null)): + 152 return field.name + 153 return "" + 154 + 155 @property + 156 def is_string(self) -> bool: + 157 """ + 158 Checks whether a Literal expression is a string. + 159 """ + 160 return isinstance(self, Literal) and self.args["is_string"] + 161 + 162 @property + 163 def is_number(self) -> bool: + 164 """ + 165 Checks whether a Literal expression is a number. + 166 """ + 167 return isinstance(self, Literal) and not self.args["is_string"] + 168 + 169 @property + 170 def is_int(self) -> bool: + 171 """ + 172 Checks whether a Literal expression is an integer. + 173 """ + 174 if self.is_number: + 175 try: + 176 int(self.name) + 177 return True + 178 except ValueError: + 179 pass + 180 return False + 181 + 182 @property + 183 def is_star(self) -> bool: + 184 """Checks whether an expression is a star.""" + 185 return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star)) + 186 + 187 @property + 188 def alias(self) -> str: + 189 """ + 190 Returns the alias of the expression, or an empty string if it's not aliased. + 191 """ + 192 if isinstance(self.args.get("alias"), TableAlias): + 193 return self.args["alias"].name + 194 return self.text("alias") + 195 + 196 @property + 197 def name(self) -> str: + 198 return self.text("this") + 199 + 200 @property + 201 def alias_or_name(self) -> str: + 202 return self.alias or self.name + 203 + 204 @property + 205 def output_name(self) -> str: + 206 """ + 207 Name of the output column if this expression is a selection. + 208 + 209 If the Expression has no output name, an empty string is returned. + 210 + 211 Example: + 212 >>> from sqlglot import parse_one + 213 >>> parse_one("SELECT a").expressions[0].output_name + 214 'a' + 215 >>> parse_one("SELECT b AS c").expressions[0].output_name + 216 'c' + 217 >>> parse_one("SELECT 1 + 2").expressions[0].output_name + 218 '' + 219 """ + 220 return "" + 221 + 222 @property + 223 def type(self) -> t.Optional[DataType]: + 224 return self._type + 225 + 226 @type.setter + 227 def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None: + 228 if dtype and not isinstance(dtype, DataType): + 229 dtype = DataType.build(dtype) + 230 self._type = dtype # type: ignore + 231 + 232 @property + 233 def meta(self) -> t.Dict[str, t.Any]: + 234 if self._meta is None: + 235 self._meta = {} + 236 return self._meta + 237 + 238 def __deepcopy__(self, memo): + 239 copy = self.__class__(**deepcopy(self.args)) + 240 if self.comments is not None: + 241 copy.comments = deepcopy(self.comments) + 242 + 243 if self._type is not None: + 244 copy._type = self._type.copy() + 245 + 246 if self._meta is not None: + 247 copy._meta = deepcopy(self._meta) + 248 + 249 return copy + 250 + 251 def copy(self): + 252 """ + 253 Returns a deep copy of the expression. + 254 """ + 255 new = deepcopy(self) + 256 new.parent = self.parent + 257 return new + 258 + 259 def add_comments(self, comments: t.Optional[t.List[str]]) -> None: + 260 if self.comments is None: + 261 self.comments = [] + 262 if comments: + 263 self.comments.extend(comments) + 264 + 265 def append(self, arg_key: str, value: t.Any) -> None: + 266 """ + 267 Appends value to arg_key if it's a list or sets it as a new list. + 268 + 269 Args: + 270 arg_key (str): name of the list expression arg + 271 value (Any): value to append to the list + 272 """ + 273 if not isinstance(self.args.get(arg_key), list): + 274 self.args[arg_key] = [] + 275 self.args[arg_key].append(value) + 276 self._set_parent(arg_key, value) + 277 + 278 def set(self, arg_key: str, value: t.Any) -> None: + 279 """ + 280 Sets `arg_key` to `value`. + 281 + 282 Args: + 283 arg_key (str): name of the expression arg. + 284 value: value to set the arg to. + 285 """ + 286 self.args[arg_key] = value + 287 self._set_parent(arg_key, value) + 288 + 289 def _set_parent(self, arg_key: str, value: t.Any) -> None: + 290 if hasattr(value, "parent"): + 291 value.parent = self + 292 value.arg_key = arg_key + 293 elif type(value) is list: + 294 for v in value: + 295 if hasattr(v, "parent"): + 296 v.parent = self + 297 v.arg_key = arg_key + 298 + 299 @property + 300 def depth(self) -> int: + 301 """ + 302 Returns the depth of this tree. + 303 """ + 304 if self.parent: + 305 return self.parent.depth + 1 + 306 return 0 + 307 + 308 def iter_expressions(self) -> t.Iterator[t.Tuple[str, Expression]]: + 309 """Yields the key and expression for all arguments, exploding list args.""" + 310 for k, vs in self.args.items(): + 311 if type(vs) is list: + 312 for v in vs: + 313 if hasattr(v, "parent"): + 314 yield k, v + 315 else: + 316 if hasattr(vs, "parent"): + 317 yield k, vs + 318 + 319 def find(self, *expression_types: t.Type[E], bfs: bool = True) -> t.Optional[E]: + 320 """ + 321 Returns the first node in this tree which matches at least one of + 322 the specified types. + 323 + 324 Args: + 325 expression_types: the expression type(s) to match. + 326 bfs: whether to search the AST using the BFS algorithm (DFS is used if false). 327 328 Returns: 329 The node which matches the criteria or None if no such node was found. 330 """ 331 return next(self.find_all(*expression_types, bfs=bfs), None) 332 - 333 def find_all(self, *expression_types: t.Type[E], bfs=True) -> t.Iterator[E]: + 333 def find_all(self, *expression_types: t.Type[E], bfs: bool = True) -> t.Iterator[E]: 334 """ 335 Returns a generator object which visits all nodes in this tree and only 336 yields those that match at least one of the specified expression types. 337 338 Args: 339 expression_types: the expression type(s) to match. - 340 - 341 Returns: - 342 The generator object. - 343 """ - 344 for expression, *_ in self.walk(bfs=bfs): - 345 if isinstance(expression, expression_types): - 346 yield expression - 347 - 348 def find_ancestor(self, *expression_types: t.Type[E]) -> E | None: - 349 """ - 350 Returns a nearest parent matching expression_types. - 351 - 352 Args: - 353 expression_types: the expression type(s) to match. - 354 - 355 Returns: - 356 The parent node. - 357 """ - 358 ancestor = self.parent - 359 while ancestor and not isinstance(ancestor, expression_types): - 360 ancestor = ancestor.parent - 361 return t.cast(E, ancestor) - 362 - 363 @property - 364 def parent_select(self): - 365 """ - 366 Returns the parent select statement. - 367 """ - 368 return self.find_ancestor(Select) - 369 - 370 @property - 371 def same_parent(self): - 372 """Returns if the parent is the same class as itself.""" - 373 return type(self.parent) is self.__class__ - 374 - 375 def root(self) -> Expression: - 376 """ - 377 Returns the root expression of this tree. - 378 """ - 379 expression = self - 380 while expression.parent: - 381 expression = expression.parent - 382 return expression - 383 - 384 def walk(self, bfs=True, prune=None): - 385 """ - 386 Returns a generator object which visits all nodes in this tree. - 387 - 388 Args: - 389 bfs (bool): if set to True the BFS traversal order will be applied, - 390 otherwise the DFS traversal will be used instead. - 391 prune ((node, parent, arg_key) -> bool): callable that returns True if - 392 the generator should stop traversing this branch of the tree. - 393 - 394 Returns: - 395 the generator object. - 396 """ - 397 if bfs: - 398 yield from self.bfs(prune=prune) - 399 else: - 400 yield from self.dfs(prune=prune) - 401 - 402 def dfs(self, parent=None, key=None, prune=None): - 403 """ - 404 Returns a generator object which visits all nodes in this tree in - 405 the DFS (Depth-first) order. - 406 - 407 Returns: - 408 The generator object. - 409 """ - 410 parent = parent or self.parent - 411 yield self, parent, key - 412 if prune and prune(self, parent, key): - 413 return - 414 - 415 for k, v in self.iter_expressions(): - 416 yield from v.dfs(self, k, prune) - 417 - 418 def bfs(self, prune=None): - 419 """ - 420 Returns a generator object which visits all nodes in this tree in - 421 the BFS (Breadth-first) order. - 422 - 423 Returns: - 424 The generator object. - 425 """ - 426 queue = deque([(self, self.parent, None)]) - 427 - 428 while queue: - 429 item, parent, key = queue.popleft() - 430 - 431 yield item, parent, key - 432 if prune and prune(item, parent, key): - 433 continue - 434 - 435 for k, v in item.iter_expressions(): - 436 queue.append((v, item, k)) - 437 - 438 def unnest(self): - 439 """ - 440 Returns the first non parenthesis child or self. - 441 """ - 442 expression = self - 443 while type(expression) is Paren: - 444 expression = expression.this - 445 return expression - 446 - 447 def unalias(self): - 448 """ - 449 Returns the inner expression if this is an Alias. - 450 """ - 451 if isinstance(self, Alias): - 452 return self.this - 453 return self - 454 - 455 def unnest_operands(self): - 456 """ - 457 Returns unnested operands as a tuple. - 458 """ - 459 return tuple(arg.unnest() for _, arg in self.iter_expressions()) - 460 - 461 def flatten(self, unnest=True): - 462 """ - 463 Returns a generator which yields child nodes who's parents are the same class. - 464 - 465 A AND B AND C -> [A, B, C] - 466 """ - 467 for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not type(n) is self.__class__): - 468 if not type(node) is self.__class__: - 469 yield node.unnest() if unnest else node - 470 - 471 def __str__(self): - 472 return self.sql() - 473 - 474 def __repr__(self): - 475 return self._to_s() - 476 - 477 def sql(self, dialect: DialectType = None, **opts) -> str: - 478 """ - 479 Returns SQL string representation of this tree. - 480 - 481 Args: - 482 dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql"). - 483 opts: other `sqlglot.generator.Generator` options. - 484 - 485 Returns: - 486 The SQL string. - 487 """ - 488 from sqlglot.dialects import Dialect - 489 - 490 return Dialect.get_or_raise(dialect)().generate(self, **opts) - 491 - 492 def _to_s(self, hide_missing: bool = True, level: int = 0) -> str: - 493 indent = "" if not level else "\n" - 494 indent += "".join([" "] * level) - 495 left = f"({self.key.upper()} " - 496 - 497 args: t.Dict[str, t.Any] = { - 498 k: ", ".join( - 499 v._to_s(hide_missing=hide_missing, level=level + 1) - 500 if hasattr(v, "_to_s") - 501 else str(v) - 502 for v in ensure_list(vs) - 503 if v is not None - 504 ) - 505 for k, vs in self.args.items() - 506 } - 507 args["comments"] = self.comments - 508 args["type"] = self.type - 509 args = {k: v for k, v in args.items() if v or not hide_missing} - 510 - 511 right = ", ".join(f"{k}: {v}" for k, v in args.items()) - 512 right += ")" - 513 - 514 return indent + left + right - 515 - 516 def transform(self, fun, *args, copy=True, **kwargs): - 517 """ - 518 Recursively visits all tree nodes (excluding already transformed ones) - 519 and applies the given transformation function to each node. - 520 - 521 Args: - 522 fun (function): a function which takes a node as an argument and returns a - 523 new transformed node or the same node without modifications. If the function - 524 returns None, then the corresponding node will be removed from the syntax tree. - 525 copy (bool): if set to True a new tree instance is constructed, otherwise the tree is - 526 modified in place. - 527 - 528 Returns: - 529 The transformed tree. - 530 """ - 531 node = self.copy() if copy else self - 532 new_node = fun(node, *args, **kwargs) - 533 - 534 if new_node is None or not isinstance(new_node, Expression): - 535 return new_node - 536 if new_node is not node: - 537 new_node.parent = node.parent - 538 return new_node - 539 - 540 replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs)) - 541 return new_node - 542 - 543 def replace(self, expression): - 544 """ - 545 Swap out this expression with a new expression. - 546 - 547 For example:: - 548 - 549 >>> tree = Select().select("x").from_("tbl") - 550 >>> tree.find(Column).replace(Column(this="y")) - 551 (COLUMN this: y) - 552 >>> tree.sql() - 553 'SELECT y FROM tbl' - 554 - 555 Args: - 556 expression (Expression|None): new node + 340 bfs: whether to search the AST using the BFS algorithm (DFS is used if false). + 341 + 342 Returns: + 343 The generator object. + 344 """ + 345 for expression, *_ in self.walk(bfs=bfs): + 346 if isinstance(expression, expression_types): + 347 yield expression + 348 + 349 def find_ancestor(self, *expression_types: t.Type[E]) -> t.Optional[E]: + 350 """ + 351 Returns a nearest parent matching expression_types. + 352 + 353 Args: + 354 expression_types: the expression type(s) to match. + 355 + 356 Returns: + 357 The parent node. + 358 """ + 359 ancestor = self.parent + 360 while ancestor and not isinstance(ancestor, expression_types): + 361 ancestor = ancestor.parent + 362 return t.cast(E, ancestor) + 363 + 364 @property + 365 def parent_select(self) -> t.Optional[Select]: + 366 """ + 367 Returns the parent select statement. + 368 """ + 369 return self.find_ancestor(Select) + 370 + 371 @property + 372 def same_parent(self) -> bool: + 373 """Returns if the parent is the same class as itself.""" + 374 return type(self.parent) is self.__class__ + 375 + 376 def root(self) -> Expression: + 377 """ + 378 Returns the root expression of this tree. + 379 """ + 380 expression = self + 381 while expression.parent: + 382 expression = expression.parent + 383 return expression + 384 + 385 def walk(self, bfs=True, prune=None): + 386 """ + 387 Returns a generator object which visits all nodes in this tree. + 388 + 389 Args: + 390 bfs (bool): if set to True the BFS traversal order will be applied, + 391 otherwise the DFS traversal will be used instead. + 392 prune ((node, parent, arg_key) -> bool): callable that returns True if + 393 the generator should stop traversing this branch of the tree. + 394 + 395 Returns: + 396 the generator object. + 397 """ + 398 if bfs: + 399 yield from self.bfs(prune=prune) + 400 else: + 401 yield from self.dfs(prune=prune) + 402 + 403 def dfs(self, parent=None, key=None, prune=None): + 404 """ + 405 Returns a generator object which visits all nodes in this tree in + 406 the DFS (Depth-first) order. + 407 + 408 Returns: + 409 The generator object. + 410 """ + 411 parent = parent or self.parent + 412 yield self, parent, key + 413 if prune and prune(self, parent, key): + 414 return + 415 + 416 for k, v in self.iter_expressions(): + 417 yield from v.dfs(self, k, prune) + 418 + 419 def bfs(self, prune=None): + 420 """ + 421 Returns a generator object which visits all nodes in this tree in + 422 the BFS (Breadth-first) order. + 423 + 424 Returns: + 425 The generator object. + 426 """ + 427 queue = deque([(self, self.parent, None)]) + 428 + 429 while queue: + 430 item, parent, key = queue.popleft() + 431 + 432 yield item, parent, key + 433 if prune and prune(item, parent, key): + 434 continue + 435 + 436 for k, v in item.iter_expressions(): + 437 queue.append((v, item, k)) + 438 + 439 def unnest(self): + 440 """ + 441 Returns the first non parenthesis child or self. + 442 """ + 443 expression = self + 444 while type(expression) is Paren: + 445 expression = expression.this + 446 return expression + 447 + 448 def unalias(self): + 449 """ + 450 Returns the inner expression if this is an Alias. + 451 """ + 452 if isinstance(self, Alias): + 453 return self.this + 454 return self + 455 + 456 def unnest_operands(self): + 457 """ + 458 Returns unnested operands as a tuple. + 459 """ + 460 return tuple(arg.unnest() for _, arg in self.iter_expressions()) + 461 + 462 def flatten(self, unnest=True): + 463 """ + 464 Returns a generator which yields child nodes who's parents are the same class. + 465 + 466 A AND B AND C -> [A, B, C] + 467 """ + 468 for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not type(n) is self.__class__): + 469 if not type(node) is self.__class__: + 470 yield node.unnest() if unnest else node + 471 + 472 def __str__(self) -> str: + 473 return self.sql() + 474 + 475 def __repr__(self) -> str: + 476 return self._to_s() + 477 + 478 def sql(self, dialect: DialectType = None, **opts) -> str: + 479 """ + 480 Returns SQL string representation of this tree. + 481 + 482 Args: + 483 dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql"). + 484 opts: other `sqlglot.generator.Generator` options. + 485 + 486 Returns: + 487 The SQL string. + 488 """ + 489 from sqlglot.dialects import Dialect + 490 + 491 return Dialect.get_or_raise(dialect)().generate(self, **opts) + 492 + 493 def _to_s(self, hide_missing: bool = True, level: int = 0) -> str: + 494 indent = "" if not level else "\n" + 495 indent += "".join([" "] * level) + 496 left = f"({self.key.upper()} " + 497 + 498 args: t.Dict[str, t.Any] = { + 499 k: ", ".join( + 500 v._to_s(hide_missing=hide_missing, level=level + 1) + 501 if hasattr(v, "_to_s") + 502 else str(v) + 503 for v in ensure_list(vs) + 504 if v is not None + 505 ) + 506 for k, vs in self.args.items() + 507 } + 508 args["comments"] = self.comments + 509 args["type"] = self.type + 510 args = {k: v for k, v in args.items() if v or not hide_missing} + 511 + 512 right = ", ".join(f"{k}: {v}" for k, v in args.items()) + 513 right += ")" + 514 + 515 return indent + left + right + 516 + 517 def transform(self, fun, *args, copy=True, **kwargs): + 518 """ + 519 Recursively visits all tree nodes (excluding already transformed ones) + 520 and applies the given transformation function to each node. + 521 + 522 Args: + 523 fun (function): a function which takes a node as an argument and returns a + 524 new transformed node or the same node without modifications. If the function + 525 returns None, then the corresponding node will be removed from the syntax tree. + 526 copy (bool): if set to True a new tree instance is constructed, otherwise the tree is + 527 modified in place. + 528 + 529 Returns: + 530 The transformed tree. + 531 """ + 532 node = self.copy() if copy else self + 533 new_node = fun(node, *args, **kwargs) + 534 + 535 if new_node is None or not isinstance(new_node, Expression): + 536 return new_node + 537 if new_node is not node: + 538 new_node.parent = node.parent + 539 return new_node + 540 + 541 replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs)) + 542 return new_node + 543 + 544 @t.overload + 545 def replace(self, expression: E) -> E: + 546 ... + 547 + 548 @t.overload + 549 def replace(self, expression: None) -> None: + 550 ... + 551 + 552 def replace(self, expression): + 553 """ + 554 Swap out this expression with a new expression. + 555 + 556 For example:: 557 - 558 Returns: - 559 The new expression or expressions. - 560 """ - 561 if not self.parent: - 562 return expression + 558 >>> tree = Select().select("x").from_("tbl") + 559 >>> tree.find(Column).replace(Column(this="y")) + 560 (COLUMN this: y) + 561 >>> tree.sql() + 562 'SELECT y FROM tbl' 563 - 564 parent = self.parent - 565 self.parent = None + 564 Args: + 565 expression: new node 566 - 567 replace_children(parent, lambda child: expression if child is self else child) - 568 return expression - 569 - 570 def pop(self): - 571 """ - 572 Remove this expression from its AST. - 573 - 574 Returns: - 575 The popped expression. - 576 """ - 577 self.replace(None) - 578 return self - 579 - 580 def assert_is(self, type_): - 581 """ - 582 Assert that this `Expression` is an instance of `type_`. - 583 - 584 If it is NOT an instance of `type_`, this raises an assertion error. - 585 Otherwise, this returns this expression. - 586 - 587 Examples: - 588 This is useful for type security in chained expressions: - 589 - 590 >>> import sqlglot - 591 >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql() - 592 'SELECT x, z FROM y' - 593 """ - 594 assert isinstance(self, type_) - 595 return self - 596 - 597 def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]: - 598 """ - 599 Checks if this expression is valid (e.g. all mandatory args are set). - 600 - 601 Args: - 602 args: a sequence of values that were used to instantiate a Func expression. This is used - 603 to check that the provided arguments don't exceed the function argument limit. - 604 - 605 Returns: - 606 A list of error messages for all possible errors that were found. - 607 """ - 608 errors: t.List[str] = [] + 567 Returns: + 568 The new expression or expressions. + 569 """ + 570 if not self.parent: + 571 return expression + 572 + 573 parent = self.parent + 574 self.parent = None + 575 + 576 replace_children(parent, lambda child: expression if child is self else child) + 577 return expression + 578 + 579 def pop(self: E) -> E: + 580 """ + 581 Remove this expression from its AST. + 582 + 583 Returns: + 584 The popped expression. + 585 """ + 586 self.replace(None) + 587 return self + 588 + 589 def assert_is(self, type_: t.Type[E]) -> E: + 590 """ + 591 Assert that this `Expression` is an instance of `type_`. + 592 + 593 If it is NOT an instance of `type_`, this raises an assertion error. + 594 Otherwise, this returns this expression. + 595 + 596 Examples: + 597 This is useful for type security in chained expressions: + 598 + 599 >>> import sqlglot + 600 >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql() + 601 'SELECT x, z FROM y' + 602 """ + 603 assert isinstance(self, type_) + 604 return self + 605 + 606 def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]: + 607 """ + 608 Checks if this expression is valid (e.g. all mandatory args are set). 609 - 610 for k in self.args: - 611 if k not in self.arg_types: - 612 errors.append(f"Unexpected keyword: '{k}' for {self.__class__}") - 613 for k, mandatory in self.arg_types.items(): - 614 v = self.args.get(k) - 615 if mandatory and (v is None or (isinstance(v, list) and not v)): - 616 errors.append(f"Required keyword: '{k}' missing for {self.__class__}") - 617 - 618 if ( - 619 args - 620 and isinstance(self, Func) - 621 and len(args) > len(self.arg_types) - 622 and not self.is_var_len_args - 623 ): - 624 errors.append( - 625 f"The number of provided arguments ({len(args)}) is greater than " - 626 f"the maximum number of supported arguments ({len(self.arg_types)})" - 627 ) - 628 - 629 return errors - 630 - 631 def dump(self): - 632 """ - 633 Dump this Expression to a JSON-serializable dict. - 634 """ - 635 from sqlglot.serde import dump - 636 - 637 return dump(self) - 638 - 639 @classmethod - 640 def load(cls, obj): + 610 Args: + 611 args: a sequence of values that were used to instantiate a Func expression. This is used + 612 to check that the provided arguments don't exceed the function argument limit. + 613 + 614 Returns: + 615 A list of error messages for all possible errors that were found. + 616 """ + 617 errors: t.List[str] = [] + 618 + 619 for k in self.args: + 620 if k not in self.arg_types: + 621 errors.append(f"Unexpected keyword: '{k}' for {self.__class__}") + 622 for k, mandatory in self.arg_types.items(): + 623 v = self.args.get(k) + 624 if mandatory and (v is None or (isinstance(v, list) and not v)): + 625 errors.append(f"Required keyword: '{k}' missing for {self.__class__}") + 626 + 627 if ( + 628 args + 629 and isinstance(self, Func) + 630 and len(args) > len(self.arg_types) + 631 and not self.is_var_len_args + 632 ): + 633 errors.append( + 634 f"The number of provided arguments ({len(args)}) is greater than " + 635 f"the maximum number of supported arguments ({len(self.arg_types)})" + 636 ) + 637 + 638 return errors + 639 + 640 def dump(self): 641 """ - 642 Load a dict (as returned by `Expression.dump`) into an Expression instance. + 642 Dump this Expression to a JSON-serializable dict. 643 """ - 644 from sqlglot.serde import load + 644 from sqlglot.serde import dump 645 - 646 return load(obj) + 646 return dump(self) 647 - 648 - 649IntoType = t.Union[ - 650 str, - 651 t.Type[Expression], - 652 t.Collection[t.Union[str, t.Type[Expression]]], - 653] - 654ExpOrStr = t.Union[str, Expression] - 655 + 648 @classmethod + 649 def load(cls, obj): + 650 """ + 651 Load a dict (as returned by `Expression.dump`) into an Expression instance. + 652 """ + 653 from sqlglot.serde import load + 654 + 655 return load(obj) 656 - 657class Condition(Expression): - 658 def and_(self, *expressions, dialect=None, copy=True, **opts): - 659 """ - 660 AND this condition with one or multiple expressions. - 661 - 662 Example: - 663 >>> condition("x=1").and_("y=1").sql() - 664 'x = 1 AND y = 1' + 657 + 658IntoType = t.Union[ + 659 str, + 660 t.Type[Expression], + 661 t.Collection[t.Union[str, t.Type[Expression]]], + 662] + 663ExpOrStr = t.Union[str, Expression] + 664 665 - 666 Args: - 667 *expressions (str | Expression): the SQL code strings to parse. - 668 If an `Expression` instance is passed, it will be used as-is. - 669 dialect (str): the dialect used to parse the input expression. - 670 copy (bool): whether or not to copy the involved expressions (only applies to Expressions). - 671 opts (kwargs): other options to use to parse the input expressions. - 672 - 673 Returns: - 674 And: the new condition. - 675 """ - 676 return and_(self, *expressions, dialect=dialect, copy=copy, **opts) - 677 - 678 def or_(self, *expressions, dialect=None, copy=True, **opts): - 679 """ - 680 OR this condition with one or multiple expressions. - 681 - 682 Example: - 683 >>> condition("x=1").or_("y=1").sql() - 684 'x = 1 OR y = 1' - 685 - 686 Args: - 687 *expressions (str | Expression): the SQL code strings to parse. - 688 If an `Expression` instance is passed, it will be used as-is. - 689 dialect (str): the dialect used to parse the input expression. - 690 copy (bool): whether or not to copy the involved expressions (only applies to Expressions). - 691 opts (kwargs): other options to use to parse the input expressions. + 666class Condition(Expression): + 667 def and_( + 668 self, + 669 *expressions: t.Optional[ExpOrStr], + 670 dialect: DialectType = None, + 671 copy: bool = True, + 672 **opts, + 673 ) -> Expression: + 674 """ + 675 AND this condition with one or multiple expressions. + 676 + 677 Example: + 678 >>> condition("x=1").and_("y=1").sql() + 679 'x = 1 AND y = 1' + 680 + 681 Args: + 682 *expressions: the SQL code strings to parse. + 683 If an `Expression` instance is passed, it will be used as-is. + 684 dialect: the dialect used to parse the input expression. + 685 copy: whether or not to copy the involved expressions (only applies to Expressions). + 686 opts: other options to use to parse the input expressions. + 687 + 688 Returns: + 689 The new And condition. + 690 """ + 691 return and_(self, *expressions, dialect=dialect, copy=copy, **opts) 692 - 693 Returns: - 694 Or: the new condition. - 695 """ - 696 return or_(self, *expressions, dialect=dialect, copy=copy, **opts) - 697 - 698 def not_(self, copy=True): - 699 """ - 700 Wrap this condition with NOT. - 701 - 702 Example: - 703 >>> condition("x=1").not_().sql() - 704 'NOT x = 1' - 705 - 706 Args: - 707 copy (bool): whether or not to copy this object. - 708 - 709 Returns: - 710 Not: the new condition. - 711 """ - 712 return not_(self, copy=copy) + 693 def or_( + 694 self, + 695 *expressions: t.Optional[ExpOrStr], + 696 dialect: DialectType = None, + 697 copy: bool = True, + 698 **opts, + 699 ) -> Expression: + 700 """ + 701 OR this condition with one or multiple expressions. + 702 + 703 Example: + 704 >>> condition("x=1").or_("y=1").sql() + 705 'x = 1 OR y = 1' + 706 + 707 Args: + 708 *expressions: the SQL code strings to parse. + 709 If an `Expression` instance is passed, it will be used as-is. + 710 dialect: the dialect used to parse the input expression. + 711 copy: whether or not to copy the involved expressions (only applies to Expressions). + 712 opts: other options to use to parse the input expressions. 713 - 714 def as_( - 715 self, - 716 alias: str | Identifier, - 717 quoted: t.Optional[bool] = None, - 718 dialect: DialectType = None, - 719 copy: bool = True, - 720 **opts, - 721 ) -> Alias: - 722 return alias_(self, alias, quoted=quoted, dialect=dialect, copy=copy, **opts) - 723 - 724 def _binop(self, klass: t.Type[E], other: t.Any, reverse: bool = False) -> E: - 725 this = self.copy() - 726 other = convert(other, copy=True) - 727 if not isinstance(this, klass) and not isinstance(other, klass): - 728 this = _wrap(this, Binary) - 729 other = _wrap(other, Binary) - 730 if reverse: - 731 return klass(this=other, expression=this) - 732 return klass(this=this, expression=other) - 733 - 734 def __getitem__(self, other: ExpOrStr | t.Tuple[ExpOrStr]): - 735 return Bracket( - 736 this=self.copy(), expressions=[convert(e, copy=True) for e in ensure_list(other)] - 737 ) - 738 - 739 def isin( - 740 self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy=True, **opts - 741 ) -> In: - 742 return In( - 743 this=_maybe_copy(self, copy), - 744 expressions=[convert(e, copy=copy) for e in expressions], - 745 query=maybe_parse(query, copy=copy, **opts) if query else None, - 746 ) - 747 - 748 def between(self, low: t.Any, high: t.Any, copy=True, **opts) -> Between: - 749 return Between( - 750 this=_maybe_copy(self, copy), - 751 low=convert(low, copy=copy, **opts), - 752 high=convert(high, copy=copy, **opts), - 753 ) + 714 Returns: + 715 The new Or condition. + 716 """ + 717 return or_(self, *expressions, dialect=dialect, copy=copy, **opts) + 718 + 719 def not_(self, copy: bool = True): + 720 """ + 721 Wrap this condition with NOT. + 722 + 723 Example: + 724 >>> condition("x=1").not_().sql() + 725 'NOT x = 1' + 726 + 727 Args: + 728 copy: whether or not to copy this object. + 729 + 730 Returns: + 731 The new Not instance. + 732 """ + 733 return not_(self, copy=copy) + 734 + 735 def as_( + 736 self, + 737 alias: str | Identifier, + 738 quoted: t.Optional[bool] = None, + 739 dialect: DialectType = None, + 740 copy: bool = True, + 741 **opts, + 742 ) -> Alias: + 743 return alias_(self, alias, quoted=quoted, dialect=dialect, copy=copy, **opts) + 744 + 745 def _binop(self, klass: t.Type[E], other: t.Any, reverse: bool = False) -> E: + 746 this = self.copy() + 747 other = convert(other, copy=True) + 748 if not isinstance(this, klass) and not isinstance(other, klass): + 749 this = _wrap(this, Binary) + 750 other = _wrap(other, Binary) + 751 if reverse: + 752 return klass(this=other, expression=this) + 753 return klass(this=this, expression=other) 754 - 755 def is_(self, other: ExpOrStr) -> Is: - 756 return self._binop(Is, other) - 757 - 758 def like(self, other: ExpOrStr) -> Like: - 759 return self._binop(Like, other) - 760 - 761 def ilike(self, other: ExpOrStr) -> ILike: - 762 return self._binop(ILike, other) - 763 - 764 def eq(self, other: t.Any) -> EQ: - 765 return self._binop(EQ, other) - 766 - 767 def neq(self, other: t.Any) -> NEQ: - 768 return self._binop(NEQ, other) - 769 - 770 def rlike(self, other: ExpOrStr) -> RegexpLike: - 771 return self._binop(RegexpLike, other) - 772 - 773 def __lt__(self, other: t.Any) -> LT: - 774 return self._binop(LT, other) + 755 def __getitem__(self, other: ExpOrStr | t.Tuple[ExpOrStr]): + 756 return Bracket( + 757 this=self.copy(), expressions=[convert(e, copy=True) for e in ensure_list(other)] + 758 ) + 759 + 760 def isin( + 761 self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts + 762 ) -> In: + 763 return In( + 764 this=_maybe_copy(self, copy), + 765 expressions=[convert(e, copy=copy) for e in expressions], + 766 query=maybe_parse(query, copy=copy, **opts) if query else None, + 767 ) + 768 + 769 def between(self, low: t.Any, high: t.Any, copy: bool = True, **opts) -> Between: + 770 return Between( + 771 this=_maybe_copy(self, copy), + 772 low=convert(low, copy=copy, **opts), + 773 high=convert(high, copy=copy, **opts), + 774 ) 775 - 776 def __le__(self, other: t.Any) -> LTE: - 777 return self._binop(LTE, other) + 776 def is_(self, other: ExpOrStr) -> Is: + 777 return self._binop(Is, other) 778 - 779 def __gt__(self, other: t.Any) -> GT: - 780 return self._binop(GT, other) + 779 def like(self, other: ExpOrStr) -> Like: + 780 return self._binop(Like, other) 781 - 782 def __ge__(self, other: t.Any) -> GTE: - 783 return self._binop(GTE, other) + 782 def ilike(self, other: ExpOrStr) -> ILike: + 783 return self._binop(ILike, other) 784 - 785 def __add__(self, other: t.Any) -> Add: - 786 return self._binop(Add, other) + 785 def eq(self, other: t.Any) -> EQ: + 786 return self._binop(EQ, other) 787 - 788 def __radd__(self, other: t.Any) -> Add: - 789 return self._binop(Add, other, reverse=True) + 788 def neq(self, other: t.Any) -> NEQ: + 789 return self._binop(NEQ, other) 790 - 791 def __sub__(self, other: t.Any) -> Sub: - 792 return self._binop(Sub, other) + 791 def rlike(self, other: ExpOrStr) -> RegexpLike: + 792 return self._binop(RegexpLike, other) 793 - 794 def __rsub__(self, other: t.Any) -> Sub: - 795 return self._binop(Sub, other, reverse=True) + 794 def __lt__(self, other: t.Any) -> LT: + 795 return self._binop(LT, other) 796 - 797 def __mul__(self, other: t.Any) -> Mul: - 798 return self._binop(Mul, other) + 797 def __le__(self, other: t.Any) -> LTE: + 798 return self._binop(LTE, other) 799 - 800 def __rmul__(self, other: t.Any) -> Mul: - 801 return self._binop(Mul, other, reverse=True) + 800 def __gt__(self, other: t.Any) -> GT: + 801 return self._binop(GT, other) 802 - 803 def __truediv__(self, other: t.Any) -> Div: - 804 return self._binop(Div, other) + 803 def __ge__(self, other: t.Any) -> GTE: + 804 return self._binop(GTE, other) 805 - 806 def __rtruediv__(self, other: t.Any) -> Div: - 807 return self._binop(Div, other, reverse=True) + 806 def __add__(self, other: t.Any) -> Add: + 807 return self._binop(Add, other) 808 - 809 def __floordiv__(self, other: t.Any) -> IntDiv: - 810 return self._binop(IntDiv, other) + 809 def __radd__(self, other: t.Any) -> Add: + 810 return self._binop(Add, other, reverse=True) 811 - 812 def __rfloordiv__(self, other: t.Any) -> IntDiv: - 813 return self._binop(IntDiv, other, reverse=True) + 812 def __sub__(self, other: t.Any) -> Sub: + 813 return self._binop(Sub, other) 814 - 815 def __mod__(self, other: t.Any) -> Mod: - 816 return self._binop(Mod, other) + 815 def __rsub__(self, other: t.Any) -> Sub: + 816 return self._binop(Sub, other, reverse=True) 817 - 818 def __rmod__(self, other: t.Any) -> Mod: - 819 return self._binop(Mod, other, reverse=True) + 818 def __mul__(self, other: t.Any) -> Mul: + 819 return self._binop(Mul, other) 820 - 821 def __pow__(self, other: t.Any) -> Pow: - 822 return self._binop(Pow, other) + 821 def __rmul__(self, other: t.Any) -> Mul: + 822 return self._binop(Mul, other, reverse=True) 823 - 824 def __rpow__(self, other: t.Any) -> Pow: - 825 return self._binop(Pow, other, reverse=True) + 824 def __truediv__(self, other: t.Any) -> Div: + 825 return self._binop(Div, other) 826 - 827 def __and__(self, other: t.Any) -> And: - 828 return self._binop(And, other) + 827 def __rtruediv__(self, other: t.Any) -> Div: + 828 return self._binop(Div, other, reverse=True) 829 - 830 def __rand__(self, other: t.Any) -> And: - 831 return self._binop(And, other, reverse=True) + 830 def __floordiv__(self, other: t.Any) -> IntDiv: + 831 return self._binop(IntDiv, other) 832 - 833 def __or__(self, other: t.Any) -> Or: - 834 return self._binop(Or, other) + 833 def __rfloordiv__(self, other: t.Any) -> IntDiv: + 834 return self._binop(IntDiv, other, reverse=True) 835 - 836 def __ror__(self, other: t.Any) -> Or: - 837 return self._binop(Or, other, reverse=True) + 836 def __mod__(self, other: t.Any) -> Mod: + 837 return self._binop(Mod, other) 838 - 839 def __neg__(self) -> Neg: - 840 return Neg(this=_wrap(self.copy(), Binary)) + 839 def __rmod__(self, other: t.Any) -> Mod: + 840 return self._binop(Mod, other, reverse=True) 841 - 842 def __invert__(self) -> Not: - 843 return not_(self.copy()) + 842 def __pow__(self, other: t.Any) -> Pow: + 843 return self._binop(Pow, other) 844 - 845 - 846class Predicate(Condition): - 847 """Relationships like x = y, x > 1, x >= y.""" - 848 - 849 - 850class DerivedTable(Expression): - 851 @property - 852 def alias_column_names(self): - 853 table_alias = self.args.get("alias") - 854 if not table_alias: - 855 return [] - 856 column_list = table_alias.assert_is(TableAlias).args.get("columns") or [] - 857 return [c.name for c in column_list] - 858 - 859 @property - 860 def selects(self): - 861 return self.this.selects if isinstance(self.this, Subqueryable) else [] + 845 def __rpow__(self, other: t.Any) -> Pow: + 846 return self._binop(Pow, other, reverse=True) + 847 + 848 def __and__(self, other: t.Any) -> And: + 849 return self._binop(And, other) + 850 + 851 def __rand__(self, other: t.Any) -> And: + 852 return self._binop(And, other, reverse=True) + 853 + 854 def __or__(self, other: t.Any) -> Or: + 855 return self._binop(Or, other) + 856 + 857 def __ror__(self, other: t.Any) -> Or: + 858 return self._binop(Or, other, reverse=True) + 859 + 860 def __neg__(self) -> Neg: + 861 return Neg(this=_wrap(self.copy(), Binary)) 862 - 863 @property - 864 def named_selects(self): - 865 return [select.output_name for select in self.selects] + 863 def __invert__(self) -> Not: + 864 return not_(self.copy()) + 865 866 - 867 - 868class Unionable(Expression): - 869 def union(self, expression, distinct=True, dialect=None, **opts): - 870 """ - 871 Builds a UNION expression. - 872 - 873 Example: - 874 >>> import sqlglot - 875 >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql() - 876 'SELECT * FROM foo UNION SELECT * FROM bla' - 877 - 878 Args: - 879 expression (str | Expression): the SQL code string. - 880 If an `Expression` instance is passed, it will be used as-is. - 881 distinct (bool): set the DISTINCT flag if and only if this is true. - 882 dialect (str): the dialect used to parse the input expression. - 883 opts (kwargs): other options to use to parse the input expressions. - 884 Returns: - 885 Union: the Union expression. - 886 """ - 887 return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) + 867class Predicate(Condition): + 868 """Relationships like x = y, x > 1, x >= y.""" + 869 + 870 + 871class DerivedTable(Expression): + 872 @property + 873 def alias_column_names(self) -> t.List[str]: + 874 table_alias = self.args.get("alias") + 875 if not table_alias: + 876 return [] + 877 column_list = table_alias.assert_is(TableAlias).args.get("columns") or [] + 878 return [c.name for c in column_list] + 879 + 880 @property + 881 def selects(self): + 882 return self.this.selects if isinstance(self.this, Subqueryable) else [] + 883 + 884 @property + 885 def named_selects(self): + 886 return [select.output_name for select in self.selects] + 887 888 - 889 def intersect(self, expression, distinct=True, dialect=None, **opts): - 890 """ - 891 Builds an INTERSECT expression. - 892 - 893 Example: - 894 >>> import sqlglot - 895 >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql() - 896 'SELECT * FROM foo INTERSECT SELECT * FROM bla' - 897 - 898 Args: - 899 expression (str | Expression): the SQL code string. - 900 If an `Expression` instance is passed, it will be used as-is. - 901 distinct (bool): set the DISTINCT flag if and only if this is true. - 902 dialect (str): the dialect used to parse the input expression. - 903 opts (kwargs): other options to use to parse the input expressions. - 904 Returns: - 905 Intersect: the Intersect expression - 906 """ - 907 return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) - 908 - 909 def except_(self, expression, distinct=True, dialect=None, **opts): - 910 """ - 911 Builds an EXCEPT expression. + 889class Unionable(Expression): + 890 def union( + 891 self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts + 892 ) -> Unionable: + 893 """ + 894 Builds a UNION expression. + 895 + 896 Example: + 897 >>> import sqlglot + 898 >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql() + 899 'SELECT * FROM foo UNION SELECT * FROM bla' + 900 + 901 Args: + 902 expression: the SQL code string. + 903 If an `Expression` instance is passed, it will be used as-is. + 904 distinct: set the DISTINCT flag if and only if this is true. + 905 dialect: the dialect used to parse the input expression. + 906 opts: other options to use to parse the input expressions. + 907 + 908 Returns: + 909 The new Union expression. + 910 """ + 911 return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) 912 - 913 Example: - 914 >>> import sqlglot - 915 >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql() - 916 'SELECT * FROM foo EXCEPT SELECT * FROM bla' - 917 - 918 Args: - 919 expression (str | Expression): the SQL code string. - 920 If an `Expression` instance is passed, it will be used as-is. - 921 distinct (bool): set the DISTINCT flag if and only if this is true. - 922 dialect (str): the dialect used to parse the input expression. - 923 opts (kwargs): other options to use to parse the input expressions. - 924 Returns: - 925 Except: the Except expression - 926 """ - 927 return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) - 928 - 929 - 930class UDTF(DerivedTable, Unionable): - 931 @property - 932 def selects(self): - 933 alias = self.args.get("alias") - 934 return alias.columns if alias else [] + 913 def intersect( + 914 self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts + 915 ) -> Unionable: + 916 """ + 917 Builds an INTERSECT expression. + 918 + 919 Example: + 920 >>> import sqlglot + 921 >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql() + 922 'SELECT * FROM foo INTERSECT SELECT * FROM bla' + 923 + 924 Args: + 925 expression: the SQL code string. + 926 If an `Expression` instance is passed, it will be used as-is. + 927 distinct: set the DISTINCT flag if and only if this is true. + 928 dialect: the dialect used to parse the input expression. + 929 opts: other options to use to parse the input expressions. + 930 + 931 Returns: + 932 The new Intersect expression. + 933 """ + 934 return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) 935 - 936 - 937class Cache(Expression): - 938 arg_types = { - 939 "with": False, - 940 "this": True, - 941 "lazy": False, - 942 "options": False, - 943 "expression": False, - 944 } - 945 + 936 def except_( + 937 self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts + 938 ) -> Unionable: + 939 """ + 940 Builds an EXCEPT expression. + 941 + 942 Example: + 943 >>> import sqlglot + 944 >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql() + 945 'SELECT * FROM foo EXCEPT SELECT * FROM bla' 946 - 947class Uncache(Expression): - 948 arg_types = {"this": True, "exists": False} - 949 - 950 - 951class Create(Expression): - 952 arg_types = { - 953 "with": False, - 954 "this": True, - 955 "kind": True, - 956 "expression": False, - 957 "exists": False, - 958 "properties": False, - 959 "replace": False, - 960 "unique": False, - 961 "indexes": False, - 962 "no_schema_binding": False, - 963 "begin": False, - 964 "clone": False, - 965 } + 947 Args: + 948 expression: the SQL code string. + 949 If an `Expression` instance is passed, it will be used as-is. + 950 distinct: set the DISTINCT flag if and only if this is true. + 951 dialect: the dialect used to parse the input expression. + 952 opts: other options to use to parse the input expressions. + 953 + 954 Returns: + 955 The new Except expression. + 956 """ + 957 return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts) + 958 + 959 + 960class UDTF(DerivedTable, Unionable): + 961 @property + 962 def selects(self): + 963 alias = self.args.get("alias") + 964 return alias.columns if alias else [] + 965 966 - 967 - 968# https://docs.snowflake.com/en/sql-reference/sql/create-clone - 969class Clone(Expression): - 970 arg_types = { - 971 "this": True, - 972 "when": False, - 973 "kind": False, - 974 "expression": False, - 975 } + 967class Cache(Expression): + 968 arg_types = { + 969 "with": False, + 970 "this": True, + 971 "lazy": False, + 972 "options": False, + 973 "expression": False, + 974 } + 975 976 - 977 - 978class Describe(Expression): - 979 arg_types = {"this": True, "kind": False} + 977class Uncache(Expression): + 978 arg_types = {"this": True, "exists": False} + 979 980 - 981 - 982class Pragma(Expression): - 983 pass - 984 - 985 - 986class Set(Expression): - 987 arg_types = {"expressions": False} - 988 - 989 - 990class SetItem(Expression): - 991 arg_types = { - 992 "this": False, - 993 "expressions": False, - 994 "kind": False, - 995 "collate": False, # MySQL SET NAMES statement - 996 "global": False, - 997 } - 998 - 999 -1000class Show(Expression): -1001 arg_types = { -1002 "this": True, -1003 "target": False, -1004 "offset": False, -1005 "limit": False, -1006 "like": False, -1007 "where": False, -1008 "db": False, -1009 "full": False, -1010 "mutex": False, -1011 "query": False, -1012 "channel": False, -1013 "global": False, -1014 "log": False, -1015 "position": False, -1016 "types": False, -1017 } + 981class Create(Expression): + 982 arg_types = { + 983 "with": False, + 984 "this": True, + 985 "kind": True, + 986 "expression": False, + 987 "exists": False, + 988 "properties": False, + 989 "replace": False, + 990 "unique": False, + 991 "indexes": False, + 992 "no_schema_binding": False, + 993 "begin": False, + 994 "clone": False, + 995 } + 996 + 997 + 998# https://docs.snowflake.com/en/sql-reference/sql/create-clone + 999class Clone(Expression): +1000 arg_types = { +1001 "this": True, +1002 "when": False, +1003 "kind": False, +1004 "expression": False, +1005 } +1006 +1007 +1008class Describe(Expression): +1009 arg_types = {"this": True, "kind": False} +1010 +1011 +1012class Pragma(Expression): +1013 pass +1014 +1015 +1016class Set(Expression): +1017 arg_types = {"expressions": False} 1018 1019 -1020class UserDefinedFunction(Expression): -1021 arg_types = {"this": True, "expressions": False, "wrapped": False} -1022 -1023 -1024class CharacterSet(Expression): -1025 arg_types = {"this": True, "default": False} -1026 -1027 -1028class With(Expression): -1029 arg_types = {"expressions": True, "recursive": False} -1030 -1031 @property -1032 def recursive(self) -> bool: -1033 return bool(self.args.get("recursive")) -1034 -1035 -1036class WithinGroup(Expression): -1037 arg_types = {"this": True, "expression": False} -1038 -1039 -1040class CTE(DerivedTable): -1041 arg_types = {"this": True, "alias": True} -1042 -1043 -1044class TableAlias(Expression): -1045 arg_types = {"this": False, "columns": False} -1046 -1047 @property -1048 def columns(self): -1049 return self.args.get("columns") or [] -1050 -1051 -1052class BitString(Condition): -1053 pass -1054 -1055 -1056class HexString(Condition): -1057 pass -1058 -1059 -1060class ByteString(Condition): -1061 pass -1062 -1063 -1064class Column(Condition): -1065 arg_types = {"this": True, "table": False, "db": False, "catalog": False, "join_mark": False} -1066 -1067 @property -1068 def table(self) -> str: -1069 return self.text("table") -1070 -1071 @property -1072 def db(self) -> str: -1073 return self.text("db") -1074 -1075 @property -1076 def catalog(self) -> str: -1077 return self.text("catalog") -1078 -1079 @property -1080 def output_name(self) -> str: -1081 return self.name -1082 -1083 @property -1084 def parts(self) -> t.List[Identifier]: -1085 """Return the parts of a column in order catalog, db, table, name.""" -1086 return [ -1087 t.cast(Identifier, self.args[part]) -1088 for part in ("catalog", "db", "table", "this") -1089 if self.args.get(part) -1090 ] -1091 -1092 def to_dot(self) -> Dot: -1093 """Converts the column into a dot expression.""" -1094 parts = self.parts -1095 parent = self.parent +1020class SetItem(Expression): +1021 arg_types = { +1022 "this": False, +1023 "expressions": False, +1024 "kind": False, +1025 "collate": False, # MySQL SET NAMES statement +1026 "global": False, +1027 } +1028 +1029 +1030class Show(Expression): +1031 arg_types = { +1032 "this": True, +1033 "target": False, +1034 "offset": False, +1035 "limit": False, +1036 "like": False, +1037 "where": False, +1038 "db": False, +1039 "full": False, +1040 "mutex": False, +1041 "query": False, +1042 "channel": False, +1043 "global": False, +1044 "log": False, +1045 "position": False, +1046 "types": False, +1047 } +1048 +1049 +1050class UserDefinedFunction(Expression): +1051 arg_types = {"this": True, "expressions": False, "wrapped": False} +1052 +1053 +1054class CharacterSet(Expression): +1055 arg_types = {"this": True, "default": False} +1056 +1057 +1058class With(Expression): +1059 arg_types = {"expressions": True, "recursive": False} +1060 +1061 @property +1062 def recursive(self) -> bool: +1063 return bool(self.args.get("recursive")) +1064 +1065 +1066class WithinGroup(Expression): +1067 arg_types = {"this": True, "expression": False} +1068 +1069 +1070class CTE(DerivedTable): +1071 arg_types = {"this": True, "alias": True} +1072 +1073 +1074class TableAlias(Expression): +1075 arg_types = {"this": False, "columns": False} +1076 +1077 @property +1078 def columns(self): +1079 return self.args.get("columns") or [] +1080 +1081 +1082class BitString(Condition): +1083 pass +1084 +1085 +1086class HexString(Condition): +1087 pass +1088 +1089 +1090class ByteString(Condition): +1091 pass +1092 +1093 +1094class RawString(Condition): +1095 pass 1096 -1097 while parent: -1098 if isinstance(parent, Dot): -1099 parts.append(parent.expression) -1100 parent = parent.parent -1101 -1102 return Dot.build(parts) -1103 +1097 +1098class Column(Condition): +1099 arg_types = {"this": True, "table": False, "db": False, "catalog": False, "join_mark": False} +1100 +1101 @property +1102 def table(self) -> str: +1103 return self.text("table") 1104 -1105class ColumnPosition(Expression): -1106 arg_types = {"this": False, "position": True} -1107 +1105 @property +1106 def db(self) -> str: +1107 return self.text("db") 1108 -1109class ColumnDef(Expression): -1110 arg_types = { -1111 "this": True, -1112 "kind": False, -1113 "constraints": False, -1114 "exists": False, -1115 "position": False, -1116 } -1117 -1118 @property -1119 def constraints(self) -> t.List[ColumnConstraint]: -1120 return self.args.get("constraints") or [] -1121 -1122 -1123class AlterColumn(Expression): -1124 arg_types = { -1125 "this": True, -1126 "dtype": False, -1127 "collate": False, -1128 "using": False, -1129 "default": False, -1130 "drop": False, -1131 } -1132 -1133 -1134class RenameTable(Expression): -1135 pass -1136 +1109 @property +1110 def catalog(self) -> str: +1111 return self.text("catalog") +1112 +1113 @property +1114 def output_name(self) -> str: +1115 return self.name +1116 +1117 @property +1118 def parts(self) -> t.List[Identifier]: +1119 """Return the parts of a column in order catalog, db, table, name.""" +1120 return [ +1121 t.cast(Identifier, self.args[part]) +1122 for part in ("catalog", "db", "table", "this") +1123 if self.args.get(part) +1124 ] +1125 +1126 def to_dot(self) -> Dot: +1127 """Converts the column into a dot expression.""" +1128 parts = self.parts +1129 parent = self.parent +1130 +1131 while parent: +1132 if isinstance(parent, Dot): +1133 parts.append(parent.expression) +1134 parent = parent.parent +1135 +1136 return Dot.build(parts) 1137 -1138class SetTag(Expression): -1139 arg_types = {"expressions": True, "unset": False} -1140 +1138 +1139class ColumnPosition(Expression): +1140 arg_types = {"this": False, "position": True} 1141 -1142class Comment(Expression): -1143 arg_types = {"this": True, "kind": True, "expression": True, "exists": False} -1144 -1145 -1146# https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl -1147class MergeTreeTTLAction(Expression): -1148 arg_types = { -1149 "this": True, -1150 "delete": False, -1151 "recompress": False, -1152 "to_disk": False, -1153 "to_volume": False, -1154 } +1142 +1143class ColumnDef(Expression): +1144 arg_types = { +1145 "this": True, +1146 "kind": False, +1147 "constraints": False, +1148 "exists": False, +1149 "position": False, +1150 } +1151 +1152 @property +1153 def constraints(self) -> t.List[ColumnConstraint]: +1154 return self.args.get("constraints") or [] 1155 1156 -1157# https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl -1158class MergeTreeTTL(Expression): -1159 arg_types = { -1160 "expressions": True, -1161 "where": False, -1162 "group": False, -1163 "aggregates": False, -1164 } -1165 +1157class AlterColumn(Expression): +1158 arg_types = { +1159 "this": True, +1160 "dtype": False, +1161 "collate": False, +1162 "using": False, +1163 "default": False, +1164 "drop": False, +1165 } 1166 -1167class ColumnConstraint(Expression): -1168 arg_types = {"this": False, "kind": True} -1169 -1170 @property -1171 def kind(self) -> ColumnConstraintKind: -1172 return self.args["kind"] -1173 +1167 +1168class RenameTable(Expression): +1169 pass +1170 +1171 +1172class SetTag(Expression): +1173 arg_types = {"expressions": True, "unset": False} 1174 -1175class ColumnConstraintKind(Expression): -1176 pass -1177 +1175 +1176class Comment(Expression): +1177 arg_types = {"this": True, "kind": True, "expression": True, "exists": False} 1178 -1179class AutoIncrementColumnConstraint(ColumnConstraintKind): -1180 pass -1181 -1182 -1183class CaseSpecificColumnConstraint(ColumnConstraintKind): -1184 arg_types = {"not_": True} -1185 -1186 -1187class CharacterSetColumnConstraint(ColumnConstraintKind): -1188 arg_types = {"this": True} +1179 +1180# https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl +1181class MergeTreeTTLAction(Expression): +1182 arg_types = { +1183 "this": True, +1184 "delete": False, +1185 "recompress": False, +1186 "to_disk": False, +1187 "to_volume": False, +1188 } 1189 1190 -1191class CheckColumnConstraint(ColumnConstraintKind): -1192 pass -1193 -1194 -1195class CollateColumnConstraint(ColumnConstraintKind): -1196 pass -1197 -1198 -1199class CommentColumnConstraint(ColumnConstraintKind): -1200 pass -1201 -1202 -1203class CompressColumnConstraint(ColumnConstraintKind): -1204 pass -1205 -1206 -1207class DateFormatColumnConstraint(ColumnConstraintKind): -1208 arg_types = {"this": True} -1209 -1210 -1211class DefaultColumnConstraint(ColumnConstraintKind): -1212 pass -1213 -1214 -1215class EncodeColumnConstraint(ColumnConstraintKind): -1216 pass -1217 -1218 -1219class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind): -1220 # this: True -> ALWAYS, this: False -> BY DEFAULT -1221 arg_types = { -1222 "this": False, -1223 "expression": False, -1224 "on_null": False, -1225 "start": False, -1226 "increment": False, -1227 "minvalue": False, -1228 "maxvalue": False, -1229 "cycle": False, -1230 } +1191# https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl +1192class MergeTreeTTL(Expression): +1193 arg_types = { +1194 "expressions": True, +1195 "where": False, +1196 "group": False, +1197 "aggregates": False, +1198 } +1199 +1200 +1201class ColumnConstraint(Expression): +1202 arg_types = {"this": False, "kind": True} +1203 +1204 @property +1205 def kind(self) -> ColumnConstraintKind: +1206 return self.args["kind"] +1207 +1208 +1209class ColumnConstraintKind(Expression): +1210 pass +1211 +1212 +1213class AutoIncrementColumnConstraint(ColumnConstraintKind): +1214 pass +1215 +1216 +1217class CaseSpecificColumnConstraint(ColumnConstraintKind): +1218 arg_types = {"not_": True} +1219 +1220 +1221class CharacterSetColumnConstraint(ColumnConstraintKind): +1222 arg_types = {"this": True} +1223 +1224 +1225class CheckColumnConstraint(ColumnConstraintKind): +1226 pass +1227 +1228 +1229class CollateColumnConstraint(ColumnConstraintKind): +1230 pass 1231 1232 -1233class InlineLengthColumnConstraint(ColumnConstraintKind): +1233class CommentColumnConstraint(ColumnConstraintKind): 1234 pass 1235 1236 -1237class NotNullColumnConstraint(ColumnConstraintKind): -1238 arg_types = {"allow_null": False} +1237class CompressColumnConstraint(ColumnConstraintKind): +1238 pass 1239 1240 -1241# https://dev.mysql.com/doc/refman/5.7/en/timestamp-initialization.html -1242class OnUpdateColumnConstraint(ColumnConstraintKind): -1243 pass +1241class DateFormatColumnConstraint(ColumnConstraintKind): +1242 arg_types = {"this": True} +1243 1244 -1245 -1246class PrimaryKeyColumnConstraint(ColumnConstraintKind): -1247 arg_types = {"desc": False} +1245class DefaultColumnConstraint(ColumnConstraintKind): +1246 pass +1247 1248 -1249 -1250class TitleColumnConstraint(ColumnConstraintKind): -1251 pass +1249class EncodeColumnConstraint(ColumnConstraintKind): +1250 pass +1251 1252 -1253 -1254class UniqueColumnConstraint(ColumnConstraintKind): -1255 arg_types: t.Dict[str, t.Any] = {} -1256 -1257 -1258class UppercaseColumnConstraint(ColumnConstraintKind): -1259 arg_types: t.Dict[str, t.Any] = {} -1260 -1261 -1262class PathColumnConstraint(ColumnConstraintKind): -1263 pass -1264 +1253class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind): +1254 # this: True -> ALWAYS, this: False -> BY DEFAULT +1255 arg_types = { +1256 "this": False, +1257 "expression": False, +1258 "on_null": False, +1259 "start": False, +1260 "increment": False, +1261 "minvalue": False, +1262 "maxvalue": False, +1263 "cycle": False, +1264 } 1265 -1266class Constraint(Expression): -1267 arg_types = {"this": True, "expressions": True} -1268 +1266 +1267class InlineLengthColumnConstraint(ColumnConstraintKind): +1268 pass 1269 -1270class Delete(Expression): -1271 arg_types = {"with": False, "this": False, "using": False, "where": False, "returning": False} -1272 -1273 def delete( -1274 self, -1275 table: ExpOrStr, -1276 dialect: DialectType = None, -1277 copy: bool = True, -1278 **opts, -1279 ) -> Delete: -1280 """ -1281 Create a DELETE expression or replace the table on an existing DELETE expression. +1270 +1271class NotNullColumnConstraint(ColumnConstraintKind): +1272 arg_types = {"allow_null": False} +1273 +1274 +1275# https://dev.mysql.com/doc/refman/5.7/en/timestamp-initialization.html +1276class OnUpdateColumnConstraint(ColumnConstraintKind): +1277 pass +1278 +1279 +1280class PrimaryKeyColumnConstraint(ColumnConstraintKind): +1281 arg_types = {"desc": False} 1282 -1283 Example: -1284 >>> delete("tbl").sql() -1285 'DELETE FROM tbl' +1283 +1284class TitleColumnConstraint(ColumnConstraintKind): +1285 pass 1286 -1287 Args: -1288 table: the table from which to delete. -1289 dialect: the dialect used to parse the input expression. -1290 copy: if `False`, modify this expression instance in-place. -1291 opts: other options to use to parse the input expressions. -1292 -1293 Returns: -1294 Delete: the modified expression. -1295 """ -1296 return _apply_builder( -1297 expression=table, -1298 instance=self, -1299 arg="this", -1300 dialect=dialect, -1301 into=Table, -1302 copy=copy, -1303 **opts, -1304 ) -1305 -1306 def where( -1307 self, -1308 *expressions: ExpOrStr, -1309 append: bool = True, +1287 +1288class UniqueColumnConstraint(ColumnConstraintKind): +1289 arg_types: t.Dict[str, t.Any] = {} +1290 +1291 +1292class UppercaseColumnConstraint(ColumnConstraintKind): +1293 arg_types: t.Dict[str, t.Any] = {} +1294 +1295 +1296class PathColumnConstraint(ColumnConstraintKind): +1297 pass +1298 +1299 +1300class Constraint(Expression): +1301 arg_types = {"this": True, "expressions": True} +1302 +1303 +1304class Delete(Expression): +1305 arg_types = {"with": False, "this": False, "using": False, "where": False, "returning": False} +1306 +1307 def delete( +1308 self, +1309 table: ExpOrStr, 1310 dialect: DialectType = None, 1311 copy: bool = True, 1312 **opts, 1313 ) -> Delete: 1314 """ -1315 Append to or set the WHERE expressions. +1315 Create a DELETE expression or replace the table on an existing DELETE expression. 1316 1317 Example: -1318 >>> delete("tbl").where("x = 'a' OR x < 'b'").sql() -1319 "DELETE FROM tbl WHERE x = 'a' OR x < 'b'" +1318 >>> delete("tbl").sql() +1319 'DELETE FROM tbl' 1320 1321 Args: -1322 *expressions: the SQL code strings to parse. -1323 If an `Expression` instance is passed, it will be used as-is. -1324 Multiple expressions are combined with an AND operator. -1325 append: if `True`, AND the new expressions to any existing expression. -1326 Otherwise, this resets the expression. -1327 dialect: the dialect used to parse the input expressions. -1328 copy: if `False`, modify this expression instance in-place. -1329 opts: other options to use to parse the input expressions. -1330 -1331 Returns: -1332 Delete: the modified expression. -1333 """ -1334 return _apply_conjunction_builder( -1335 *expressions, -1336 instance=self, -1337 arg="where", -1338 append=append, -1339 into=Where, -1340 dialect=dialect, -1341 copy=copy, -1342 **opts, -1343 ) -1344 -1345 def returning( -1346 self, -1347 expression: ExpOrStr, -1348 dialect: DialectType = None, -1349 copy: bool = True, -1350 **opts, -1351 ) -> Delete: -1352 """ -1353 Set the RETURNING expression. Not supported by all dialects. +1322 table: the table from which to delete. +1323 dialect: the dialect used to parse the input expression. +1324 copy: if `False`, modify this expression instance in-place. +1325 opts: other options to use to parse the input expressions. +1326 +1327 Returns: +1328 Delete: the modified expression. +1329 """ +1330 return _apply_builder( +1331 expression=table, +1332 instance=self, +1333 arg="this", +1334 dialect=dialect, +1335 into=Table, +1336 copy=copy, +1337 **opts, +1338 ) +1339 +1340 def where( +1341 self, +1342 *expressions: t.Optional[ExpOrStr], +1343 append: bool = True, +1344 dialect: DialectType = None, +1345 copy: bool = True, +1346 **opts, +1347 ) -> Delete: +1348 """ +1349 Append to or set the WHERE expressions. +1350 +1351 Example: +1352 >>> delete("tbl").where("x = 'a' OR x < 'b'").sql() +1353 "DELETE FROM tbl WHERE x = 'a' OR x < 'b'" 1354 -1355 Example: -1356 >>> delete("tbl").returning("*", dialect="postgres").sql() -1357 'DELETE FROM tbl RETURNING *' -1358 -1359 Args: -1360 expression: the SQL code strings to parse. -1361 If an `Expression` instance is passed, it will be used as-is. -1362 dialect: the dialect used to parse the input expressions. -1363 copy: if `False`, modify this expression instance in-place. -1364 opts: other options to use to parse the input expressions. -1365 -1366 Returns: -1367 Delete: the modified expression. -1368 """ -1369 return _apply_builder( -1370 expression=expression, -1371 instance=self, -1372 arg="returning", -1373 prefix="RETURNING", +1355 Args: +1356 *expressions: the SQL code strings to parse. +1357 If an `Expression` instance is passed, it will be used as-is. +1358 Multiple expressions are combined with an AND operator. +1359 append: if `True`, AND the new expressions to any existing expression. +1360 Otherwise, this resets the expression. +1361 dialect: the dialect used to parse the input expressions. +1362 copy: if `False`, modify this expression instance in-place. +1363 opts: other options to use to parse the input expressions. +1364 +1365 Returns: +1366 Delete: the modified expression. +1367 """ +1368 return _apply_conjunction_builder( +1369 *expressions, +1370 instance=self, +1371 arg="where", +1372 append=append, +1373 into=Where, 1374 dialect=dialect, 1375 copy=copy, -1376 into=Returning, -1377 **opts, -1378 ) -1379 -1380 -1381class Drop(Expression): -1382 arg_types = { -1383 "this": False, -1384 "kind": False, -1385 "exists": False, -1386 "temporary": False, -1387 "materialized": False, -1388 "cascade": False, -1389 "constraints": False, -1390 "purge": False, -1391 } +1376 **opts, +1377 ) +1378 +1379 def returning( +1380 self, +1381 expression: ExpOrStr, +1382 dialect: DialectType = None, +1383 copy: bool = True, +1384 **opts, +1385 ) -> Delete: +1386 """ +1387 Set the RETURNING expression. Not supported by all dialects. +1388 +1389 Example: +1390 >>> delete("tbl").returning("*", dialect="postgres").sql() +1391 'DELETE FROM tbl RETURNING *' 1392 -1393 -1394class Filter(Expression): -1395 arg_types = {"this": True, "expression": True} -1396 -1397 -1398class Check(Expression): -1399 pass -1400 -1401 -1402class Directory(Expression): -1403 # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html -1404 arg_types = {"this": True, "local": False, "row_format": False} -1405 -1406 -1407class ForeignKey(Expression): -1408 arg_types = { -1409 "expressions": True, -1410 "reference": False, -1411 "delete": False, -1412 "update": False, -1413 } +1393 Args: +1394 expression: the SQL code strings to parse. +1395 If an `Expression` instance is passed, it will be used as-is. +1396 dialect: the dialect used to parse the input expressions. +1397 copy: if `False`, modify this expression instance in-place. +1398 opts: other options to use to parse the input expressions. +1399 +1400 Returns: +1401 Delete: the modified expression. +1402 """ +1403 return _apply_builder( +1404 expression=expression, +1405 instance=self, +1406 arg="returning", +1407 prefix="RETURNING", +1408 dialect=dialect, +1409 copy=copy, +1410 into=Returning, +1411 **opts, +1412 ) +1413 1414 -1415 -1416class PrimaryKey(Expression): -1417 arg_types = {"expressions": True, "options": False} -1418 -1419 -1420class Unique(Expression): -1421 arg_types = {"expressions": True} -1422 -1423 -1424# https://www.postgresql.org/docs/9.1/sql-selectinto.html -1425# https://docs.aws.amazon.com/redshift/latest/dg/r_SELECT_INTO.html#r_SELECT_INTO-examples -1426class Into(Expression): -1427 arg_types = {"this": True, "temporary": False, "unlogged": False} -1428 -1429 -1430class From(Expression): -1431 @property -1432 def name(self) -> str: -1433 return self.this.name +1415class Drop(Expression): +1416 arg_types = { +1417 "this": False, +1418 "kind": False, +1419 "exists": False, +1420 "temporary": False, +1421 "materialized": False, +1422 "cascade": False, +1423 "constraints": False, +1424 "purge": False, +1425 } +1426 +1427 +1428class Filter(Expression): +1429 arg_types = {"this": True, "expression": True} +1430 +1431 +1432class Check(Expression): +1433 pass 1434 -1435 @property -1436 def alias_or_name(self) -> str: -1437 return self.this.alias_or_name -1438 +1435 +1436class Directory(Expression): +1437 # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html +1438 arg_types = {"this": True, "local": False, "row_format": False} 1439 -1440class Having(Expression): -1441 pass -1442 -1443 -1444class Hint(Expression): -1445 arg_types = {"expressions": True} -1446 -1447 -1448class JoinHint(Expression): -1449 arg_types = {"this": True, "expressions": True} -1450 -1451 -1452class Identifier(Expression): -1453 arg_types = {"this": True, "quoted": False} -1454 -1455 @property -1456 def quoted(self): -1457 return bool(self.args.get("quoted")) -1458 -1459 @property -1460 def hashable_args(self) -> t.Any: -1461 if self.quoted and any(char.isupper() for char in self.this): -1462 return (self.this, self.quoted) -1463 return self.this.lower() -1464 +1440 +1441class ForeignKey(Expression): +1442 arg_types = { +1443 "expressions": True, +1444 "reference": False, +1445 "delete": False, +1446 "update": False, +1447 } +1448 +1449 +1450class PrimaryKey(Expression): +1451 arg_types = {"expressions": True, "options": False} +1452 +1453 +1454class Unique(Expression): +1455 arg_types = {"expressions": True} +1456 +1457 +1458# https://www.postgresql.org/docs/9.1/sql-selectinto.html +1459# https://docs.aws.amazon.com/redshift/latest/dg/r_SELECT_INTO.html#r_SELECT_INTO-examples +1460class Into(Expression): +1461 arg_types = {"this": True, "temporary": False, "unlogged": False} +1462 +1463 +1464class From(Expression): 1465 @property -1466 def output_name(self): -1467 return self.name +1466 def name(self) -> str: +1467 return self.this.name 1468 -1469 -1470class Index(Expression): -1471 arg_types = { -1472 "this": False, -1473 "table": False, -1474 "where": False, -1475 "columns": False, -1476 "unique": False, -1477 "primary": False, -1478 "amp": False, # teradata -1479 } +1469 @property +1470 def alias_or_name(self) -> str: +1471 return self.this.alias_or_name +1472 +1473 +1474class Having(Expression): +1475 pass +1476 +1477 +1478class Hint(Expression): +1479 arg_types = {"expressions": True} 1480 1481 -1482class Insert(Expression): -1483 arg_types = { -1484 "with": False, -1485 "this": True, -1486 "expression": False, -1487 "conflict": False, -1488 "returning": False, -1489 "overwrite": False, -1490 "exists": False, -1491 "partition": False, -1492 "alternative": False, -1493 } -1494 -1495 def with_( -1496 self, -1497 alias: ExpOrStr, -1498 as_: ExpOrStr, -1499 recursive: t.Optional[bool] = None, -1500 append: bool = True, -1501 dialect: DialectType = None, -1502 copy: bool = True, -1503 **opts, -1504 ) -> Insert: -1505 """ -1506 Append to or set the common table expressions. -1507 -1508 Example: -1509 >>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql() -1510 'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte' -1511 -1512 Args: -1513 alias: the SQL code string to parse as the table name. -1514 If an `Expression` instance is passed, this is used as-is. -1515 as_: the SQL code string to parse as the table expression. -1516 If an `Expression` instance is passed, it will be used as-is. -1517 recursive: set the RECURSIVE part of the expression. Defaults to `False`. -1518 append: if `True`, add to any existing expressions. -1519 Otherwise, this resets the expressions. -1520 dialect: the dialect used to parse the input expression. -1521 copy: if `False`, modify this expression instance in-place. -1522 opts: other options to use to parse the input expressions. -1523 -1524 Returns: -1525 The modified expression. -1526 """ -1527 return _apply_cte_builder( -1528 self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts -1529 ) -1530 -1531 -1532class OnConflict(Expression): -1533 arg_types = { -1534 "duplicate": False, -1535 "expressions": False, -1536 "nothing": False, -1537 "key": False, -1538 "constraint": False, -1539 } -1540 +1482class JoinHint(Expression): +1483 arg_types = {"this": True, "expressions": True} +1484 +1485 +1486class Identifier(Expression): +1487 arg_types = {"this": True, "quoted": False} +1488 +1489 @property +1490 def quoted(self) -> bool: +1491 return bool(self.args.get("quoted")) +1492 +1493 @property +1494 def hashable_args(self) -> t.Any: +1495 if self.quoted and any(char.isupper() for char in self.this): +1496 return (self.this, self.quoted) +1497 return self.this.lower() +1498 +1499 @property +1500 def output_name(self) -> str: +1501 return self.name +1502 +1503 +1504class Index(Expression): +1505 arg_types = { +1506 "this": False, +1507 "table": False, +1508 "where": False, +1509 "columns": False, +1510 "unique": False, +1511 "primary": False, +1512 "amp": False, # teradata +1513 } +1514 +1515 +1516class Insert(Expression): +1517 arg_types = { +1518 "with": False, +1519 "this": True, +1520 "expression": False, +1521 "conflict": False, +1522 "returning": False, +1523 "overwrite": False, +1524 "exists": False, +1525 "partition": False, +1526 "alternative": False, +1527 } +1528 +1529 def with_( +1530 self, +1531 alias: ExpOrStr, +1532 as_: ExpOrStr, +1533 recursive: t.Optional[bool] = None, +1534 append: bool = True, +1535 dialect: DialectType = None, +1536 copy: bool = True, +1537 **opts, +1538 ) -> Insert: +1539 """ +1540 Append to or set the common table expressions. 1541 -1542class Returning(Expression): -1543 arg_types = {"expressions": True} -1544 +1542 Example: +1543 >>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql() +1544 'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte' 1545 -1546# https://dev.mysql.com/doc/refman/8.0/en/charset-introducer.html -1547class Introducer(Expression): -1548 arg_types = {"this": True, "expression": True} -1549 -1550 -1551# national char, like n'utf8' -1552class National(Expression): -1553 pass -1554 -1555 -1556class LoadData(Expression): -1557 arg_types = { -1558 "this": True, -1559 "local": False, -1560 "overwrite": False, -1561 "inpath": True, -1562 "partition": False, -1563 "input_format": False, -1564 "serde": False, -1565 } -1566 -1567 -1568class Partition(Expression): -1569 arg_types = {"expressions": True} -1570 -1571 -1572class Fetch(Expression): -1573 arg_types = { -1574 "direction": False, -1575 "count": False, -1576 "percent": False, -1577 "with_ties": False, -1578 } +1546 Args: +1547 alias: the SQL code string to parse as the table name. +1548 If an `Expression` instance is passed, this is used as-is. +1549 as_: the SQL code string to parse as the table expression. +1550 If an `Expression` instance is passed, it will be used as-is. +1551 recursive: set the RECURSIVE part of the expression. Defaults to `False`. +1552 append: if `True`, add to any existing expressions. +1553 Otherwise, this resets the expressions. +1554 dialect: the dialect used to parse the input expression. +1555 copy: if `False`, modify this expression instance in-place. +1556 opts: other options to use to parse the input expressions. +1557 +1558 Returns: +1559 The modified expression. +1560 """ +1561 return _apply_cte_builder( +1562 self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts +1563 ) +1564 +1565 +1566class OnConflict(Expression): +1567 arg_types = { +1568 "duplicate": False, +1569 "expressions": False, +1570 "nothing": False, +1571 "key": False, +1572 "constraint": False, +1573 } +1574 +1575 +1576class Returning(Expression): +1577 arg_types = {"expressions": True} +1578 1579 -1580 -1581class Group(Expression): -1582 arg_types = { -1583 "expressions": False, -1584 "grouping_sets": False, -1585 "cube": False, -1586 "rollup": False, -1587 "totals": False, -1588 } +1580# https://dev.mysql.com/doc/refman/8.0/en/charset-introducer.html +1581class Introducer(Expression): +1582 arg_types = {"this": True, "expression": True} +1583 +1584 +1585# national char, like n'utf8' +1586class National(Expression): +1587 pass +1588 1589 -1590 -1591class Lambda(Expression): -1592 arg_types = {"this": True, "expressions": True} -1593 -1594 -1595class Limit(Expression): -1596 arg_types = {"this": False, "expression": True} -1597 -1598 -1599class Literal(Condition): -1600 arg_types = {"this": True, "is_string": True} +1590class LoadData(Expression): +1591 arg_types = { +1592 "this": True, +1593 "local": False, +1594 "overwrite": False, +1595 "inpath": True, +1596 "partition": False, +1597 "input_format": False, +1598 "serde": False, +1599 } +1600 1601 -1602 @property -1603 def hashable_args(self) -> t.Any: -1604 return (self.this, self.args.get("is_string")) +1602class Partition(Expression): +1603 arg_types = {"expressions": True} +1604 1605 -1606 @classmethod -1607 def number(cls, number) -> Literal: -1608 return cls(this=str(number), is_string=False) -1609 -1610 @classmethod -1611 def string(cls, string) -> Literal: -1612 return cls(this=str(string), is_string=True) +1606class Fetch(Expression): +1607 arg_types = { +1608 "direction": False, +1609 "count": False, +1610 "percent": False, +1611 "with_ties": False, +1612 } 1613 -1614 @property -1615 def output_name(self): -1616 return self.name -1617 -1618 -1619class Join(Expression): -1620 arg_types = { -1621 "this": True, -1622 "on": False, -1623 "side": False, -1624 "kind": False, -1625 "using": False, -1626 "natural": False, -1627 "global": False, -1628 "hint": False, -1629 } -1630 -1631 @property -1632 def kind(self): -1633 return self.text("kind").upper() -1634 -1635 @property -1636 def side(self): -1637 return self.text("side").upper() -1638 -1639 @property -1640 def hint(self): -1641 return self.text("hint").upper() -1642 -1643 @property -1644 def alias_or_name(self): -1645 return self.this.alias_or_name -1646 -1647 def on(self, *expressions, append=True, dialect=None, copy=True, **opts): -1648 """ -1649 Append to or set the ON expressions. -1650 -1651 Example: -1652 >>> import sqlglot -1653 >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql() -1654 'JOIN x ON y = 1' -1655 -1656 Args: -1657 *expressions (str | Expression): the SQL code strings to parse. -1658 If an `Expression` instance is passed, it will be used as-is. -1659 Multiple expressions are combined with an AND operator. -1660 append (bool): if `True`, AND the new expressions to any existing expression. -1661 Otherwise, this resets the expression. -1662 dialect (str): the dialect used to parse the input expressions. -1663 copy (bool): if `False`, modify this expression instance in-place. -1664 opts (kwargs): other options to use to parse the input expressions. -1665 -1666 Returns: -1667 Join: the modified join expression. -1668 """ -1669 join = _apply_conjunction_builder( -1670 *expressions, -1671 instance=self, -1672 arg="on", -1673 append=append, -1674 dialect=dialect, -1675 copy=copy, -1676 **opts, -1677 ) -1678 -1679 if join.kind == "CROSS": -1680 join.set("kind", None) -1681 -1682 return join -1683 -1684 def using(self, *expressions, append=True, dialect=None, copy=True, **opts): -1685 """ -1686 Append to or set the USING expressions. -1687 -1688 Example: -1689 >>> import sqlglot -1690 >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql() -1691 'JOIN x USING (foo, bla)' -1692 -1693 Args: -1694 *expressions (str | Expression): the SQL code strings to parse. -1695 If an `Expression` instance is passed, it will be used as-is. -1696 append (bool): if `True`, concatenate the new expressions to the existing "using" list. -1697 Otherwise, this resets the expression. -1698 dialect (str): the dialect used to parse the input expressions. -1699 copy (bool): if `False`, modify this expression instance in-place. -1700 opts (kwargs): other options to use to parse the input expressions. -1701 -1702 Returns: -1703 Join: the modified join expression. -1704 """ -1705 join = _apply_list_builder( -1706 *expressions, -1707 instance=self, -1708 arg="using", -1709 append=append, -1710 dialect=dialect, -1711 copy=copy, -1712 **opts, -1713 ) -1714 -1715 if join.kind == "CROSS": -1716 join.set("kind", None) -1717 -1718 return join +1614 +1615class Group(Expression): +1616 arg_types = { +1617 "expressions": False, +1618 "grouping_sets": False, +1619 "cube": False, +1620 "rollup": False, +1621 "totals": False, +1622 } +1623 +1624 +1625class Lambda(Expression): +1626 arg_types = {"this": True, "expressions": True} +1627 +1628 +1629class Limit(Expression): +1630 arg_types = {"this": False, "expression": True} +1631 +1632 +1633class Literal(Condition): +1634 arg_types = {"this": True, "is_string": True} +1635 +1636 @property +1637 def hashable_args(self) -> t.Any: +1638 return (self.this, self.args.get("is_string")) +1639 +1640 @classmethod +1641 def number(cls, number) -> Literal: +1642 return cls(this=str(number), is_string=False) +1643 +1644 @classmethod +1645 def string(cls, string) -> Literal: +1646 return cls(this=str(string), is_string=True) +1647 +1648 @property +1649 def output_name(self) -> str: +1650 return self.name +1651 +1652 +1653class Join(Expression): +1654 arg_types = { +1655 "this": True, +1656 "on": False, +1657 "side": False, +1658 "kind": False, +1659 "using": False, +1660 "natural": False, +1661 "global": False, +1662 "hint": False, +1663 } +1664 +1665 @property +1666 def kind(self) -> str: +1667 return self.text("kind").upper() +1668 +1669 @property +1670 def side(self) -> str: +1671 return self.text("side").upper() +1672 +1673 @property +1674 def hint(self) -> str: +1675 return self.text("hint").upper() +1676 +1677 @property +1678 def alias_or_name(self) -> str: +1679 return self.this.alias_or_name +1680 +1681 def on( +1682 self, +1683 *expressions: t.Optional[ExpOrStr], +1684 append: bool = True, +1685 dialect: DialectType = None, +1686 copy: bool = True, +1687 **opts, +1688 ) -> Join: +1689 """ +1690 Append to or set the ON expressions. +1691 +1692 Example: +1693 >>> import sqlglot +1694 >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql() +1695 'JOIN x ON y = 1' +1696 +1697 Args: +1698 *expressions: the SQL code strings to parse. +1699 If an `Expression` instance is passed, it will be used as-is. +1700 Multiple expressions are combined with an AND operator. +1701 append: if `True`, AND the new expressions to any existing expression. +1702 Otherwise, this resets the expression. +1703 dialect: the dialect used to parse the input expressions. +1704 copy: if `False`, modify this expression instance in-place. +1705 opts: other options to use to parse the input expressions. +1706 +1707 Returns: +1708 The modified Join expression. +1709 """ +1710 join = _apply_conjunction_builder( +1711 *expressions, +1712 instance=self, +1713 arg="on", +1714 append=append, +1715 dialect=dialect, +1716 copy=copy, +1717 **opts, +1718 ) 1719 -1720 -1721class Lateral(UDTF): -1722 arg_types = {"this": True, "view": False, "outer": False, "alias": False} -1723 +1720 if join.kind == "CROSS": +1721 join.set("kind", None) +1722 +1723 return join 1724 -1725class MatchRecognize(Expression): -1726 arg_types = { -1727 "partition_by": False, -1728 "order": False, -1729 "measures": False, -1730 "rows": False, -1731 "after": False, -1732 "pattern": False, -1733 "define": False, -1734 "alias": False, -1735 } -1736 -1737 -1738# Clickhouse FROM FINAL modifier -1739# https://clickhouse.com/docs/en/sql-reference/statements/select/from/#final-modifier -1740class Final(Expression): -1741 pass -1742 -1743 -1744class Offset(Expression): -1745 arg_types = {"this": False, "expression": True} -1746 -1747 -1748class Order(Expression): -1749 arg_types = {"this": False, "expressions": True} -1750 -1751 -1752# hive specific sorts -1753# https://cwiki.apache.org/confluence/display/Hive/LanguageManual+SortBy -1754class Cluster(Order): -1755 pass -1756 -1757 -1758class Distribute(Order): -1759 pass -1760 -1761 -1762class Sort(Order): -1763 pass -1764 +1725 def using( +1726 self, +1727 *expressions: t.Optional[ExpOrStr], +1728 append: bool = True, +1729 dialect: DialectType = None, +1730 copy: bool = True, +1731 **opts, +1732 ) -> Join: +1733 """ +1734 Append to or set the USING expressions. +1735 +1736 Example: +1737 >>> import sqlglot +1738 >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql() +1739 'JOIN x USING (foo, bla)' +1740 +1741 Args: +1742 *expressions: the SQL code strings to parse. +1743 If an `Expression` instance is passed, it will be used as-is. +1744 append: if `True`, concatenate the new expressions to the existing "using" list. +1745 Otherwise, this resets the expression. +1746 dialect: the dialect used to parse the input expressions. +1747 copy: if `False`, modify this expression instance in-place. +1748 opts: other options to use to parse the input expressions. +1749 +1750 Returns: +1751 The modified Join expression. +1752 """ +1753 join = _apply_list_builder( +1754 *expressions, +1755 instance=self, +1756 arg="using", +1757 append=append, +1758 dialect=dialect, +1759 copy=copy, +1760 **opts, +1761 ) +1762 +1763 if join.kind == "CROSS": +1764 join.set("kind", None) 1765 -1766class Ordered(Expression): -1767 arg_types = {"this": True, "desc": True, "nulls_first": True} +1766 return join +1767 1768 -1769 -1770class Property(Expression): -1771 arg_types = {"this": True, "value": True} +1769class Lateral(UDTF): +1770 arg_types = {"this": True, "view": False, "outer": False, "alias": False} +1771 1772 -1773 -1774class AlgorithmProperty(Property): -1775 arg_types = {"this": True} -1776 -1777 -1778class AutoIncrementProperty(Property): -1779 arg_types = {"this": True} -1780 -1781 -1782class BlockCompressionProperty(Property): -1783 arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True} +1773class MatchRecognize(Expression): +1774 arg_types = { +1775 "partition_by": False, +1776 "order": False, +1777 "measures": False, +1778 "rows": False, +1779 "after": False, +1780 "pattern": False, +1781 "define": False, +1782 "alias": False, +1783 } 1784 1785 -1786class CharacterSetProperty(Property): -1787 arg_types = {"this": True, "default": True} -1788 -1789 -1790class ChecksumProperty(Property): -1791 arg_types = {"on": False, "default": False} -1792 -1793 -1794class CollateProperty(Property): -1795 arg_types = {"this": True} -1796 -1797 -1798class DataBlocksizeProperty(Property): -1799 arg_types = { -1800 "size": False, -1801 "units": False, -1802 "minimum": False, -1803 "maximum": False, -1804 "default": False, -1805 } -1806 -1807 -1808class DefinerProperty(Property): -1809 arg_types = {"this": True} -1810 -1811 -1812class DistKeyProperty(Property): -1813 arg_types = {"this": True} -1814 -1815 -1816class DistStyleProperty(Property): -1817 arg_types = {"this": True} -1818 -1819 -1820class EngineProperty(Property): -1821 arg_types = {"this": True} -1822 -1823 -1824class ExecuteAsProperty(Property): -1825 arg_types = {"this": True} -1826 -1827 -1828class ExternalProperty(Property): -1829 arg_types = {"this": False} -1830 -1831 -1832class FallbackProperty(Property): -1833 arg_types = {"no": True, "protection": False} -1834 -1835 -1836class FileFormatProperty(Property): -1837 arg_types = {"this": True} -1838 -1839 -1840class FreespaceProperty(Property): -1841 arg_types = {"this": True, "percent": False} -1842 -1843 -1844class InputOutputFormat(Expression): -1845 arg_types = {"input_format": False, "output_format": False} -1846 -1847 -1848class IsolatedLoadingProperty(Property): -1849 arg_types = { -1850 "no": True, -1851 "concurrent": True, -1852 "for_all": True, -1853 "for_insert": True, -1854 "for_none": True, -1855 } -1856 -1857 -1858class JournalProperty(Property): -1859 arg_types = { -1860 "no": False, -1861 "dual": False, -1862 "before": False, -1863 "local": False, -1864 "after": False, -1865 } +1786# Clickhouse FROM FINAL modifier +1787# https://clickhouse.com/docs/en/sql-reference/statements/select/from/#final-modifier +1788class Final(Expression): +1789 pass +1790 +1791 +1792class Offset(Expression): +1793 arg_types = {"this": False, "expression": True} +1794 +1795 +1796class Order(Expression): +1797 arg_types = {"this": False, "expressions": True} +1798 +1799 +1800# hive specific sorts +1801# https://cwiki.apache.org/confluence/display/Hive/LanguageManual+SortBy +1802class Cluster(Order): +1803 pass +1804 +1805 +1806class Distribute(Order): +1807 pass +1808 +1809 +1810class Sort(Order): +1811 pass +1812 +1813 +1814class Ordered(Expression): +1815 arg_types = {"this": True, "desc": True, "nulls_first": True} +1816 +1817 +1818class Property(Expression): +1819 arg_types = {"this": True, "value": True} +1820 +1821 +1822class AlgorithmProperty(Property): +1823 arg_types = {"this": True} +1824 +1825 +1826class AutoIncrementProperty(Property): +1827 arg_types = {"this": True} +1828 +1829 +1830class BlockCompressionProperty(Property): +1831 arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True} +1832 +1833 +1834class CharacterSetProperty(Property): +1835 arg_types = {"this": True, "default": True} +1836 +1837 +1838class ChecksumProperty(Property): +1839 arg_types = {"on": False, "default": False} +1840 +1841 +1842class CollateProperty(Property): +1843 arg_types = {"this": True} +1844 +1845 +1846class DataBlocksizeProperty(Property): +1847 arg_types = { +1848 "size": False, +1849 "units": False, +1850 "minimum": False, +1851 "maximum": False, +1852 "default": False, +1853 } +1854 +1855 +1856class DefinerProperty(Property): +1857 arg_types = {"this": True} +1858 +1859 +1860class DistKeyProperty(Property): +1861 arg_types = {"this": True} +1862 +1863 +1864class DistStyleProperty(Property): +1865 arg_types = {"this": True} 1866 1867 -1868class LanguageProperty(Property): +1868class EngineProperty(Property): 1869 arg_types = {"this": True} 1870 1871 -1872class LikeProperty(Property): -1873 arg_types = {"this": True, "expressions": False} +1872class ExecuteAsProperty(Property): +1873 arg_types = {"this": True} 1874 1875 -1876class LocationProperty(Property): -1877 arg_types = {"this": True} +1876class ExternalProperty(Property): +1877 arg_types = {"this": False} 1878 1879 -1880class LockingProperty(Property): -1881 arg_types = { -1882 "this": False, -1883 "kind": True, -1884 "for_or_in": True, -1885 "lock_type": True, -1886 "override": False, -1887 } -1888 -1889 -1890class LogProperty(Property): -1891 arg_types = {"no": True} -1892 -1893 -1894class MaterializedProperty(Property): -1895 arg_types = {"this": False} -1896 -1897 -1898class MergeBlockRatioProperty(Property): -1899 arg_types = {"this": False, "no": False, "default": False, "percent": False} -1900 -1901 -1902class NoPrimaryIndexProperty(Property): -1903 arg_types = {} +1880class FallbackProperty(Property): +1881 arg_types = {"no": True, "protection": False} +1882 +1883 +1884class FileFormatProperty(Property): +1885 arg_types = {"this": True} +1886 +1887 +1888class FreespaceProperty(Property): +1889 arg_types = {"this": True, "percent": False} +1890 +1891 +1892class InputOutputFormat(Expression): +1893 arg_types = {"input_format": False, "output_format": False} +1894 +1895 +1896class IsolatedLoadingProperty(Property): +1897 arg_types = { +1898 "no": True, +1899 "concurrent": True, +1900 "for_all": True, +1901 "for_insert": True, +1902 "for_none": True, +1903 } 1904 1905 -1906class OnCommitProperty(Property): -1907 arg_type = {"delete": False} -1908 -1909 -1910class PartitionedByProperty(Property): -1911 arg_types = {"this": True} -1912 -1913 -1914class ReturnsProperty(Property): -1915 arg_types = {"this": True, "is_table": False, "table": False} -1916 -1917 -1918class RowFormatProperty(Property): -1919 arg_types = {"this": True} -1920 -1921 -1922class RowFormatDelimitedProperty(Property): -1923 # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml -1924 arg_types = { -1925 "fields": False, -1926 "escaped": False, -1927 "collection_items": False, -1928 "map_keys": False, -1929 "lines": False, -1930 "null": False, -1931 "serde": False, -1932 } -1933 -1934 -1935class RowFormatSerdeProperty(Property): -1936 arg_types = {"this": True} +1906class JournalProperty(Property): +1907 arg_types = { +1908 "no": False, +1909 "dual": False, +1910 "before": False, +1911 "local": False, +1912 "after": False, +1913 } +1914 +1915 +1916class LanguageProperty(Property): +1917 arg_types = {"this": True} +1918 +1919 +1920class LikeProperty(Property): +1921 arg_types = {"this": True, "expressions": False} +1922 +1923 +1924class LocationProperty(Property): +1925 arg_types = {"this": True} +1926 +1927 +1928class LockingProperty(Property): +1929 arg_types = { +1930 "this": False, +1931 "kind": True, +1932 "for_or_in": True, +1933 "lock_type": True, +1934 "override": False, +1935 } +1936 1937 -1938 -1939class SchemaCommentProperty(Property): -1940 arg_types = {"this": True} +1938class LogProperty(Property): +1939 arg_types = {"no": True} +1940 1941 -1942 -1943class SerdeProperties(Property): -1944 arg_types = {"expressions": True} +1942class MaterializedProperty(Property): +1943 arg_types = {"this": False} +1944 1945 -1946 -1947class SetProperty(Property): -1948 arg_types = {"multi": True} +1946class MergeBlockRatioProperty(Property): +1947 arg_types = {"this": False, "no": False, "default": False, "percent": False} +1948 1949 -1950 -1951class SettingsProperty(Property): -1952 arg_types = {"expressions": True} +1950class NoPrimaryIndexProperty(Property): +1951 arg_types = {} +1952 1953 -1954 -1955class SortKeyProperty(Property): -1956 arg_types = {"this": True, "compound": False} +1954class OnCommitProperty(Property): +1955 arg_type = {"delete": False} +1956 1957 -1958 -1959class SqlSecurityProperty(Property): -1960 arg_types = {"definer": True} +1958class PartitionedByProperty(Property): +1959 arg_types = {"this": True} +1960 1961 -1962 -1963class StabilityProperty(Property): -1964 arg_types = {"this": True} +1962class ReturnsProperty(Property): +1963 arg_types = {"this": True, "is_table": False, "table": False} +1964 1965 -1966 -1967class TemporaryProperty(Property): -1968 arg_types = {} +1966class RowFormatProperty(Property): +1967 arg_types = {"this": True} +1968 1969 -1970 -1971class TransientProperty(Property): -1972 arg_types = {"this": False} -1973 -1974 -1975class VolatileProperty(Property): -1976 arg_types = {"this": False} -1977 -1978 -1979class WithDataProperty(Property): -1980 arg_types = {"no": True, "statistics": False} +1970class RowFormatDelimitedProperty(Property): +1971 # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml +1972 arg_types = { +1973 "fields": False, +1974 "escaped": False, +1975 "collection_items": False, +1976 "map_keys": False, +1977 "lines": False, +1978 "null": False, +1979 "serde": False, +1980 } 1981 1982 -1983class WithJournalTableProperty(Property): +1983class RowFormatSerdeProperty(Property): 1984 arg_types = {"this": True} 1985 1986 -1987class Properties(Expression): -1988 arg_types = {"expressions": True} +1987class SchemaCommentProperty(Property): +1988 arg_types = {"this": True} 1989 -1990 NAME_TO_PROPERTY = { -1991 "ALGORITHM": AlgorithmProperty, -1992 "AUTO_INCREMENT": AutoIncrementProperty, -1993 "CHARACTER SET": CharacterSetProperty, -1994 "COLLATE": CollateProperty, -1995 "COMMENT": SchemaCommentProperty, -1996 "DEFINER": DefinerProperty, -1997 "DISTKEY": DistKeyProperty, -1998 "DISTSTYLE": DistStyleProperty, -1999 "ENGINE": EngineProperty, -2000 "EXECUTE AS": ExecuteAsProperty, -2001 "FORMAT": FileFormatProperty, -2002 "LANGUAGE": LanguageProperty, -2003 "LOCATION": LocationProperty, -2004 "PARTITIONED_BY": PartitionedByProperty, -2005 "RETURNS": ReturnsProperty, -2006 "ROW_FORMAT": RowFormatProperty, -2007 "SORTKEY": SortKeyProperty, -2008 } +1990 +1991class SerdeProperties(Property): +1992 arg_types = {"expressions": True} +1993 +1994 +1995class SetProperty(Property): +1996 arg_types = {"multi": True} +1997 +1998 +1999class SettingsProperty(Property): +2000 arg_types = {"expressions": True} +2001 +2002 +2003class SortKeyProperty(Property): +2004 arg_types = {"this": True, "compound": False} +2005 +2006 +2007class SqlSecurityProperty(Property): +2008 arg_types = {"definer": True} 2009 -2010 PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()} -2011 -2012 # CREATE property locations -2013 # Form: schema specified -2014 # create [POST_CREATE] -2015 # table a [POST_NAME] -2016 # (b int) [POST_SCHEMA] -2017 # with ([POST_WITH]) -2018 # index (b) [POST_INDEX] -2019 # -2020 # Form: alias selection -2021 # create [POST_CREATE] -2022 # table a [POST_NAME] -2023 # as [POST_ALIAS] (select * from b) [POST_EXPRESSION] -2024 # index (c) [POST_INDEX] -2025 class Location(AutoName): -2026 POST_CREATE = auto() -2027 POST_NAME = auto() -2028 POST_SCHEMA = auto() -2029 POST_WITH = auto() -2030 POST_ALIAS = auto() -2031 POST_EXPRESSION = auto() -2032 POST_INDEX = auto() -2033 UNSUPPORTED = auto() +2010 +2011class StabilityProperty(Property): +2012 arg_types = {"this": True} +2013 +2014 +2015class TemporaryProperty(Property): +2016 arg_types = {} +2017 +2018 +2019class TransientProperty(Property): +2020 arg_types = {"this": False} +2021 +2022 +2023class VolatileProperty(Property): +2024 arg_types = {"this": False} +2025 +2026 +2027class WithDataProperty(Property): +2028 arg_types = {"no": True, "statistics": False} +2029 +2030 +2031class WithJournalTableProperty(Property): +2032 arg_types = {"this": True} +2033 2034 -2035 @classmethod -2036 def from_dict(cls, properties_dict) -> Properties: -2037 expressions = [] -2038 for key, value in properties_dict.items(): -2039 property_cls = cls.NAME_TO_PROPERTY.get(key.upper()) -2040 if property_cls: -2041 expressions.append(property_cls(this=convert(value))) -2042 else: -2043 expressions.append(Property(this=Literal.string(key), value=convert(value))) -2044 -2045 return cls(expressions=expressions) -2046 -2047 -2048class Qualify(Expression): -2049 pass -2050 -2051 -2052# https://www.ibm.com/docs/en/ias?topic=procedures-return-statement-in-sql -2053class Return(Expression): -2054 pass -2055 -2056 -2057class Reference(Expression): -2058 arg_types = {"this": True, "expressions": False, "options": False} +2035class Properties(Expression): +2036 arg_types = {"expressions": True} +2037 +2038 NAME_TO_PROPERTY = { +2039 "ALGORITHM": AlgorithmProperty, +2040 "AUTO_INCREMENT": AutoIncrementProperty, +2041 "CHARACTER SET": CharacterSetProperty, +2042 "COLLATE": CollateProperty, +2043 "COMMENT": SchemaCommentProperty, +2044 "DEFINER": DefinerProperty, +2045 "DISTKEY": DistKeyProperty, +2046 "DISTSTYLE": DistStyleProperty, +2047 "ENGINE": EngineProperty, +2048 "EXECUTE AS": ExecuteAsProperty, +2049 "FORMAT": FileFormatProperty, +2050 "LANGUAGE": LanguageProperty, +2051 "LOCATION": LocationProperty, +2052 "PARTITIONED_BY": PartitionedByProperty, +2053 "RETURNS": ReturnsProperty, +2054 "ROW_FORMAT": RowFormatProperty, +2055 "SORTKEY": SortKeyProperty, +2056 } +2057 +2058 PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()} 2059 -2060 -2061class Tuple(Expression): -2062 arg_types = {"expressions": False} -2063 -2064 def isin( -2065 self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy=True, **opts -2066 ) -> In: -2067 return In( -2068 this=_maybe_copy(self, copy), -2069 expressions=[convert(e, copy=copy) for e in expressions], -2070 query=maybe_parse(query, copy=copy, **opts) if query else None, -2071 ) -2072 -2073 -2074class Subqueryable(Unionable): -2075 def subquery(self, alias=None, copy=True) -> Subquery: -2076 """ -2077 Convert this expression to an aliased expression that can be used as a Subquery. -2078 -2079 Example: -2080 >>> subquery = Select().select("x").from_("tbl").subquery() -2081 >>> Select().select("x").from_(subquery).sql() -2082 'SELECT x FROM (SELECT x FROM tbl)' -2083 -2084 Args: -2085 alias (str | Identifier): an optional alias for the subquery -2086 copy (bool): if `False`, modify this expression instance in-place. -2087 -2088 Returns: -2089 Alias: the subquery -2090 """ -2091 instance = _maybe_copy(self, copy) -2092 if not isinstance(alias, Expression): -2093 alias = TableAlias(this=to_identifier(alias)) if alias else None +2060 # CREATE property locations +2061 # Form: schema specified +2062 # create [POST_CREATE] +2063 # table a [POST_NAME] +2064 # (b int) [POST_SCHEMA] +2065 # with ([POST_WITH]) +2066 # index (b) [POST_INDEX] +2067 # +2068 # Form: alias selection +2069 # create [POST_CREATE] +2070 # table a [POST_NAME] +2071 # as [POST_ALIAS] (select * from b) [POST_EXPRESSION] +2072 # index (c) [POST_INDEX] +2073 class Location(AutoName): +2074 POST_CREATE = auto() +2075 POST_NAME = auto() +2076 POST_SCHEMA = auto() +2077 POST_WITH = auto() +2078 POST_ALIAS = auto() +2079 POST_EXPRESSION = auto() +2080 POST_INDEX = auto() +2081 UNSUPPORTED = auto() +2082 +2083 @classmethod +2084 def from_dict(cls, properties_dict: t.Dict) -> Properties: +2085 expressions = [] +2086 for key, value in properties_dict.items(): +2087 property_cls = cls.NAME_TO_PROPERTY.get(key.upper()) +2088 if property_cls: +2089 expressions.append(property_cls(this=convert(value))) +2090 else: +2091 expressions.append(Property(this=Literal.string(key), value=convert(value))) +2092 +2093 return cls(expressions=expressions) 2094 -2095 return Subquery(this=instance, alias=alias) -2096 -2097 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: -2098 raise NotImplementedError +2095 +2096class Qualify(Expression): +2097 pass +2098 2099 -2100 @property -2101 def ctes(self): -2102 with_ = self.args.get("with") -2103 if not with_: -2104 return [] -2105 return with_.expressions -2106 -2107 @property -2108 def selects(self): -2109 raise NotImplementedError("Subqueryable objects must implement `selects`") -2110 -2111 @property -2112 def named_selects(self): -2113 raise NotImplementedError("Subqueryable objects must implement `named_selects`") -2114 -2115 def with_( -2116 self, -2117 alias: ExpOrStr, -2118 as_: ExpOrStr, -2119 recursive: t.Optional[bool] = None, -2120 append: bool = True, -2121 dialect: DialectType = None, -2122 copy: bool = True, -2123 **opts, -2124 ) -> Subqueryable: -2125 """ -2126 Append to or set the common table expressions. -2127 -2128 Example: -2129 >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql() -2130 'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2' +2100# https://www.ibm.com/docs/en/ias?topic=procedures-return-statement-in-sql +2101class Return(Expression): +2102 pass +2103 +2104 +2105class Reference(Expression): +2106 arg_types = {"this": True, "expressions": False, "options": False} +2107 +2108 +2109class Tuple(Expression): +2110 arg_types = {"expressions": False} +2111 +2112 def isin( +2113 self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts +2114 ) -> In: +2115 return In( +2116 this=_maybe_copy(self, copy), +2117 expressions=[convert(e, copy=copy) for e in expressions], +2118 query=maybe_parse(query, copy=copy, **opts) if query else None, +2119 ) +2120 +2121 +2122class Subqueryable(Unionable): +2123 def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery: +2124 """ +2125 Convert this expression to an aliased expression that can be used as a Subquery. +2126 +2127 Example: +2128 >>> subquery = Select().select("x").from_("tbl").subquery() +2129 >>> Select().select("x").from_(subquery).sql() +2130 'SELECT x FROM (SELECT x FROM tbl)' 2131 2132 Args: -2133 alias: the SQL code string to parse as the table name. -2134 If an `Expression` instance is passed, this is used as-is. -2135 as_: the SQL code string to parse as the table expression. -2136 If an `Expression` instance is passed, it will be used as-is. -2137 recursive: set the RECURSIVE part of the expression. Defaults to `False`. -2138 append: if `True`, add to any existing expressions. -2139 Otherwise, this resets the expressions. -2140 dialect: the dialect used to parse the input expression. -2141 copy: if `False`, modify this expression instance in-place. -2142 opts: other options to use to parse the input expressions. -2143 -2144 Returns: -2145 The modified expression. -2146 """ -2147 return _apply_cte_builder( -2148 self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts -2149 ) -2150 -2151 -2152QUERY_MODIFIERS = { -2153 "match": False, -2154 "laterals": False, -2155 "joins": False, -2156 "pivots": False, -2157 "where": False, -2158 "group": False, -2159 "having": False, -2160 "qualify": False, -2161 "windows": False, -2162 "distribute": False, -2163 "sort": False, -2164 "cluster": False, -2165 "order": False, -2166 "limit": False, -2167 "offset": False, -2168 "locks": False, -2169 "sample": False, -2170 "settings": False, -2171 "format": False, -2172} -2173 -2174 -2175class Table(Expression): -2176 arg_types = { -2177 "this": True, -2178 "alias": False, -2179 "db": False, -2180 "catalog": False, -2181 "laterals": False, -2182 "joins": False, -2183 "pivots": False, -2184 "hints": False, -2185 "system_time": False, -2186 } -2187 -2188 @property -2189 def db(self) -> str: -2190 return self.text("db") -2191 -2192 @property -2193 def catalog(self) -> str: -2194 return self.text("catalog") -2195 -2196 @property -2197 def parts(self) -> t.List[Identifier]: -2198 """Return the parts of a table in order catalog, db, table.""" -2199 return [ -2200 t.cast(Identifier, self.args[part]) -2201 for part in ("catalog", "db", "this") -2202 if self.args.get(part) -2203 ] -2204 -2205 -2206# See the TSQL "Querying data in a system-versioned temporal table" page -2207class SystemTime(Expression): -2208 arg_types = { -2209 "this": False, -2210 "expression": False, -2211 "kind": True, -2212 } -2213 -2214 -2215class Union(Subqueryable): -2216 arg_types = { -2217 "with": False, -2218 "this": True, -2219 "expression": True, -2220 "distinct": False, -2221 **QUERY_MODIFIERS, -2222 } +2133 alias (str | Identifier): an optional alias for the subquery +2134 copy (bool): if `False`, modify this expression instance in-place. +2135 +2136 Returns: +2137 Alias: the subquery +2138 """ +2139 instance = _maybe_copy(self, copy) +2140 if not isinstance(alias, Expression): +2141 alias = TableAlias(this=to_identifier(alias)) if alias else None +2142 +2143 return Subquery(this=instance, alias=alias) +2144 +2145 def limit( +2146 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2147 ) -> Select: +2148 raise NotImplementedError +2149 +2150 @property +2151 def ctes(self): +2152 with_ = self.args.get("with") +2153 if not with_: +2154 return [] +2155 return with_.expressions +2156 +2157 @property +2158 def selects(self): +2159 raise NotImplementedError("Subqueryable objects must implement `selects`") +2160 +2161 @property +2162 def named_selects(self): +2163 raise NotImplementedError("Subqueryable objects must implement `named_selects`") +2164 +2165 def with_( +2166 self, +2167 alias: ExpOrStr, +2168 as_: ExpOrStr, +2169 recursive: t.Optional[bool] = None, +2170 append: bool = True, +2171 dialect: DialectType = None, +2172 copy: bool = True, +2173 **opts, +2174 ) -> Subqueryable: +2175 """ +2176 Append to or set the common table expressions. +2177 +2178 Example: +2179 >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql() +2180 'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2' +2181 +2182 Args: +2183 alias: the SQL code string to parse as the table name. +2184 If an `Expression` instance is passed, this is used as-is. +2185 as_: the SQL code string to parse as the table expression. +2186 If an `Expression` instance is passed, it will be used as-is. +2187 recursive: set the RECURSIVE part of the expression. Defaults to `False`. +2188 append: if `True`, add to any existing expressions. +2189 Otherwise, this resets the expressions. +2190 dialect: the dialect used to parse the input expression. +2191 copy: if `False`, modify this expression instance in-place. +2192 opts: other options to use to parse the input expressions. +2193 +2194 Returns: +2195 The modified expression. +2196 """ +2197 return _apply_cte_builder( +2198 self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts +2199 ) +2200 +2201 +2202QUERY_MODIFIERS = { +2203 "match": False, +2204 "laterals": False, +2205 "joins": False, +2206 "pivots": False, +2207 "where": False, +2208 "group": False, +2209 "having": False, +2210 "qualify": False, +2211 "windows": False, +2212 "distribute": False, +2213 "sort": False, +2214 "cluster": False, +2215 "order": False, +2216 "limit": False, +2217 "offset": False, +2218 "locks": False, +2219 "sample": False, +2220 "settings": False, +2221 "format": False, +2222} 2223 -2224 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: -2225 """ -2226 Set the LIMIT expression. -2227 -2228 Example: -2229 >>> select("1").union(select("1")).limit(1).sql() -2230 'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1' -2231 -2232 Args: -2233 expression (str | int | Expression): the SQL code string to parse. -2234 This can also be an integer. -2235 If a `Limit` instance is passed, this is used as-is. -2236 If another `Expression` instance is passed, it will be wrapped in a `Limit`. -2237 dialect (str): the dialect used to parse the input expression. -2238 copy (bool): if `False`, modify this expression instance in-place. -2239 opts (kwargs): other options to use to parse the input expressions. -2240 -2241 Returns: -2242 Select: The limited subqueryable. -2243 """ -2244 return ( -2245 select("*") -2246 .from_(self.subquery(alias="_l_0", copy=copy)) -2247 .limit(expression, dialect=dialect, copy=False, **opts) -2248 ) -2249 -2250 def select( -2251 self, -2252 *expressions: ExpOrStr, -2253 append: bool = True, -2254 dialect: DialectType = None, -2255 copy: bool = True, -2256 **opts, -2257 ) -> Union: -2258 """Append to or set the SELECT of the union recursively. -2259 -2260 Example: -2261 >>> from sqlglot import parse_one -2262 >>> parse_one("select a from x union select a from y union select a from z").select("b").sql() -2263 'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z' +2224 +2225class Table(Expression): +2226 arg_types = { +2227 "this": True, +2228 "alias": False, +2229 "db": False, +2230 "catalog": False, +2231 "laterals": False, +2232 "joins": False, +2233 "pivots": False, +2234 "hints": False, +2235 "system_time": False, +2236 } +2237 +2238 @property +2239 def db(self) -> str: +2240 return self.text("db") +2241 +2242 @property +2243 def catalog(self) -> str: +2244 return self.text("catalog") +2245 +2246 @property +2247 def parts(self) -> t.List[Identifier]: +2248 """Return the parts of a table in order catalog, db, table.""" +2249 return [ +2250 t.cast(Identifier, self.args[part]) +2251 for part in ("catalog", "db", "this") +2252 if self.args.get(part) +2253 ] +2254 +2255 +2256# See the TSQL "Querying data in a system-versioned temporal table" page +2257class SystemTime(Expression): +2258 arg_types = { +2259 "this": False, +2260 "expression": False, +2261 "kind": True, +2262 } +2263 2264 -2265 Args: -2266 *expressions: the SQL code strings to parse. -2267 If an `Expression` instance is passed, it will be used as-is. -2268 append: if `True`, add to any existing expressions. -2269 Otherwise, this resets the expressions. -2270 dialect: the dialect used to parse the input expressions. -2271 copy: if `False`, modify this expression instance in-place. -2272 opts: other options to use to parse the input expressions. +2265class Union(Subqueryable): +2266 arg_types = { +2267 "with": False, +2268 "this": True, +2269 "expression": True, +2270 "distinct": False, +2271 **QUERY_MODIFIERS, +2272 } 2273 -2274 Returns: -2275 Union: the modified expression. -2276 """ -2277 this = self.copy() if copy else self -2278 this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts) -2279 this.expression.unnest().select( -2280 *expressions, append=append, dialect=dialect, copy=False, **opts -2281 ) -2282 return this +2274 def limit( +2275 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2276 ) -> Select: +2277 """ +2278 Set the LIMIT expression. +2279 +2280 Example: +2281 >>> select("1").union(select("1")).limit(1).sql() +2282 'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1' 2283 -2284 @property -2285 def named_selects(self): -2286 return self.this.unnest().named_selects -2287 -2288 @property -2289 def is_star(self) -> bool: -2290 return self.this.is_star or self.expression.is_star -2291 -2292 @property -2293 def selects(self): -2294 return self.this.unnest().selects -2295 -2296 @property -2297 def left(self): -2298 return self.this -2299 -2300 @property -2301 def right(self): -2302 return self.expression -2303 -2304 -2305class Except(Union): -2306 pass -2307 -2308 -2309class Intersect(Union): -2310 pass +2284 Args: +2285 expression: the SQL code string to parse. +2286 This can also be an integer. +2287 If a `Limit` instance is passed, this is used as-is. +2288 If another `Expression` instance is passed, it will be wrapped in a `Limit`. +2289 dialect: the dialect used to parse the input expression. +2290 copy: if `False`, modify this expression instance in-place. +2291 opts: other options to use to parse the input expressions. +2292 +2293 Returns: +2294 The limited subqueryable. +2295 """ +2296 return ( +2297 select("*") +2298 .from_(self.subquery(alias="_l_0", copy=copy)) +2299 .limit(expression, dialect=dialect, copy=False, **opts) +2300 ) +2301 +2302 def select( +2303 self, +2304 *expressions: t.Optional[ExpOrStr], +2305 append: bool = True, +2306 dialect: DialectType = None, +2307 copy: bool = True, +2308 **opts, +2309 ) -> Union: +2310 """Append to or set the SELECT of the union recursively. 2311 -2312 -2313class Unnest(UDTF): -2314 arg_types = { -2315 "expressions": True, -2316 "ordinality": False, -2317 "alias": False, -2318 "offset": False, -2319 } -2320 -2321 -2322class Update(Expression): -2323 arg_types = { -2324 "with": False, -2325 "this": False, -2326 "expressions": True, -2327 "from": False, -2328 "where": False, -2329 "returning": False, -2330 } -2331 -2332 -2333class Values(UDTF): -2334 arg_types = { -2335 "expressions": True, -2336 "ordinality": False, -2337 "alias": False, -2338 } +2312 Example: +2313 >>> from sqlglot import parse_one +2314 >>> parse_one("select a from x union select a from y union select a from z").select("b").sql() +2315 'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z' +2316 +2317 Args: +2318 *expressions: the SQL code strings to parse. +2319 If an `Expression` instance is passed, it will be used as-is. +2320 append: if `True`, add to any existing expressions. +2321 Otherwise, this resets the expressions. +2322 dialect: the dialect used to parse the input expressions. +2323 copy: if `False`, modify this expression instance in-place. +2324 opts: other options to use to parse the input expressions. +2325 +2326 Returns: +2327 Union: the modified expression. +2328 """ +2329 this = self.copy() if copy else self +2330 this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts) +2331 this.expression.unnest().select( +2332 *expressions, append=append, dialect=dialect, copy=False, **opts +2333 ) +2334 return this +2335 +2336 @property +2337 def named_selects(self): +2338 return self.this.unnest().named_selects 2339 -2340 -2341class Var(Expression): -2342 pass +2340 @property +2341 def is_star(self) -> bool: +2342 return self.this.is_star or self.expression.is_star 2343 -2344 -2345class Schema(Expression): -2346 arg_types = {"this": False, "expressions": False} +2344 @property +2345 def selects(self): +2346 return self.this.unnest().selects 2347 -2348 -2349# https://dev.mysql.com/doc/refman/8.0/en/select.html -2350# https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/SELECT.html -2351class Lock(Expression): -2352 arg_types = {"update": True, "expressions": False, "wait": False} -2353 -2354 -2355class Select(Subqueryable): -2356 arg_types = { -2357 "with": False, -2358 "kind": False, -2359 "expressions": False, -2360 "hint": False, -2361 "distinct": False, -2362 "struct": False, # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#return_query_results_as_a_value_table -2363 "value": False, -2364 "into": False, -2365 "from": False, -2366 **QUERY_MODIFIERS, -2367 } -2368 -2369 def from_( -2370 self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts -2371 ) -> Select: -2372 """ -2373 Set the FROM expression. -2374 -2375 Example: -2376 >>> Select().from_("tbl").select("x").sql() -2377 'SELECT x FROM tbl' -2378 -2379 Args: -2380 expression : the SQL code strings to parse. -2381 If a `From` instance is passed, this is used as-is. -2382 If another `Expression` instance is passed, it will be wrapped in a `From`. -2383 dialect: the dialect used to parse the input expression. -2384 copy: if `False`, modify this expression instance in-place. -2385 opts: other options to use to parse the input expressions. -2386 -2387 Returns: -2388 Select: the modified expression. -2389 """ -2390 return _apply_builder( -2391 expression=expression, -2392 instance=self, -2393 arg="from", -2394 into=From, -2395 prefix="FROM", -2396 dialect=dialect, -2397 copy=copy, -2398 **opts, -2399 ) +2348 @property +2349 def left(self): +2350 return self.this +2351 +2352 @property +2353 def right(self): +2354 return self.expression +2355 +2356 +2357class Except(Union): +2358 pass +2359 +2360 +2361class Intersect(Union): +2362 pass +2363 +2364 +2365class Unnest(UDTF): +2366 arg_types = { +2367 "expressions": True, +2368 "ordinality": False, +2369 "alias": False, +2370 "offset": False, +2371 } +2372 +2373 +2374class Update(Expression): +2375 arg_types = { +2376 "with": False, +2377 "this": False, +2378 "expressions": True, +2379 "from": False, +2380 "where": False, +2381 "returning": False, +2382 } +2383 +2384 +2385class Values(UDTF): +2386 arg_types = { +2387 "expressions": True, +2388 "ordinality": False, +2389 "alias": False, +2390 } +2391 +2392 +2393class Var(Expression): +2394 pass +2395 +2396 +2397class Schema(Expression): +2398 arg_types = {"this": False, "expressions": False} +2399 2400 -2401 def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2402 """ -2403 Set the GROUP BY expression. -2404 -2405 Example: -2406 >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql() -2407 'SELECT x, COUNT(1) FROM tbl GROUP BY x' -2408 -2409 Args: -2410 *expressions (str | Expression): the SQL code strings to parse. -2411 If a `Group` instance is passed, this is used as-is. -2412 If another `Expression` instance is passed, it will be wrapped in a `Group`. -2413 If nothing is passed in then a group by is not applied to the expression -2414 append (bool): if `True`, add to any existing expressions. -2415 Otherwise, this flattens all the `Group` expression into a single expression. -2416 dialect (str): the dialect used to parse the input expression. -2417 copy (bool): if `False`, modify this expression instance in-place. -2418 opts (kwargs): other options to use to parse the input expressions. -2419 -2420 Returns: -2421 Select: the modified expression. -2422 """ -2423 if not expressions: -2424 return self if not copy else self.copy() -2425 return _apply_child_list_builder( -2426 *expressions, -2427 instance=self, -2428 arg="group", -2429 append=append, -2430 copy=copy, -2431 prefix="GROUP BY", -2432 into=Group, -2433 dialect=dialect, -2434 **opts, -2435 ) -2436 -2437 def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2438 """ -2439 Set the ORDER BY expression. -2440 -2441 Example: -2442 >>> Select().from_("tbl").select("x").order_by("x DESC").sql() -2443 'SELECT x FROM tbl ORDER BY x DESC' -2444 -2445 Args: -2446 *expressions (str | Expression): the SQL code strings to parse. -2447 If a `Group` instance is passed, this is used as-is. -2448 If another `Expression` instance is passed, it will be wrapped in a `Order`. -2449 append (bool): if `True`, add to any existing expressions. -2450 Otherwise, this flattens all the `Order` expression into a single expression. -2451 dialect (str): the dialect used to parse the input expression. -2452 copy (bool): if `False`, modify this expression instance in-place. -2453 opts (kwargs): other options to use to parse the input expressions. -2454 -2455 Returns: -2456 Select: the modified expression. -2457 """ -2458 return _apply_child_list_builder( -2459 *expressions, -2460 instance=self, -2461 arg="order", -2462 append=append, -2463 copy=copy, -2464 prefix="ORDER BY", -2465 into=Order, -2466 dialect=dialect, -2467 **opts, -2468 ) -2469 -2470 def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2471 """ -2472 Set the SORT BY expression. -2473 -2474 Example: -2475 >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive") -2476 'SELECT x FROM tbl SORT BY x DESC' -2477 -2478 Args: -2479 *expressions (str | Expression): the SQL code strings to parse. -2480 If a `Group` instance is passed, this is used as-is. -2481 If another `Expression` instance is passed, it will be wrapped in a `SORT`. -2482 append (bool): if `True`, add to any existing expressions. -2483 Otherwise, this flattens all the `Order` expression into a single expression. -2484 dialect (str): the dialect used to parse the input expression. -2485 copy (bool): if `False`, modify this expression instance in-place. -2486 opts (kwargs): other options to use to parse the input expressions. -2487 -2488 Returns: -2489 Select: the modified expression. -2490 """ -2491 return _apply_child_list_builder( -2492 *expressions, -2493 instance=self, -2494 arg="sort", -2495 append=append, -2496 copy=copy, -2497 prefix="SORT BY", -2498 into=Sort, -2499 dialect=dialect, -2500 **opts, -2501 ) -2502 -2503 def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2504 """ -2505 Set the CLUSTER BY expression. -2506 -2507 Example: -2508 >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive") -2509 'SELECT x FROM tbl CLUSTER BY x DESC' -2510 -2511 Args: -2512 *expressions (str | Expression): the SQL code strings to parse. -2513 If a `Group` instance is passed, this is used as-is. -2514 If another `Expression` instance is passed, it will be wrapped in a `Cluster`. -2515 append (bool): if `True`, add to any existing expressions. -2516 Otherwise, this flattens all the `Order` expression into a single expression. -2517 dialect (str): the dialect used to parse the input expression. -2518 copy (bool): if `False`, modify this expression instance in-place. -2519 opts (kwargs): other options to use to parse the input expressions. -2520 -2521 Returns: -2522 Select: the modified expression. -2523 """ -2524 return _apply_child_list_builder( -2525 *expressions, -2526 instance=self, -2527 arg="cluster", -2528 append=append, -2529 copy=copy, -2530 prefix="CLUSTER BY", -2531 into=Cluster, -2532 dialect=dialect, -2533 **opts, -2534 ) -2535 -2536 def limit(self, expression, dialect=None, copy=True, **opts) -> Select: -2537 """ -2538 Set the LIMIT expression. -2539 -2540 Example: -2541 >>> Select().from_("tbl").select("x").limit(10).sql() -2542 'SELECT x FROM tbl LIMIT 10' -2543 -2544 Args: -2545 expression (str | int | Expression): the SQL code string to parse. -2546 This can also be an integer. -2547 If a `Limit` instance is passed, this is used as-is. -2548 If another `Expression` instance is passed, it will be wrapped in a `Limit`. -2549 dialect (str): the dialect used to parse the input expression. -2550 copy (bool): if `False`, modify this expression instance in-place. -2551 opts (kwargs): other options to use to parse the input expressions. -2552 -2553 Returns: -2554 Select: the modified expression. -2555 """ -2556 return _apply_builder( -2557 expression=expression, -2558 instance=self, -2559 arg="limit", -2560 into=Limit, -2561 prefix="LIMIT", -2562 dialect=dialect, -2563 copy=copy, -2564 **opts, -2565 ) -2566 -2567 def offset(self, expression, dialect=None, copy=True, **opts) -> Select: -2568 """ -2569 Set the OFFSET expression. -2570 -2571 Example: -2572 >>> Select().from_("tbl").select("x").offset(10).sql() -2573 'SELECT x FROM tbl OFFSET 10' -2574 -2575 Args: -2576 expression (str | int | Expression): the SQL code string to parse. -2577 This can also be an integer. -2578 If a `Offset` instance is passed, this is used as-is. -2579 If another `Expression` instance is passed, it will be wrapped in a `Offset`. -2580 dialect (str): the dialect used to parse the input expression. -2581 copy (bool): if `False`, modify this expression instance in-place. -2582 opts (kwargs): other options to use to parse the input expressions. -2583 -2584 Returns: -2585 Select: the modified expression. -2586 """ -2587 return _apply_builder( -2588 expression=expression, -2589 instance=self, -2590 arg="offset", -2591 into=Offset, -2592 prefix="OFFSET", -2593 dialect=dialect, -2594 copy=copy, -2595 **opts, -2596 ) -2597 -2598 def select( -2599 self, -2600 *expressions: ExpOrStr, -2601 append: bool = True, -2602 dialect: DialectType = None, -2603 copy: bool = True, -2604 **opts, -2605 ) -> Select: -2606 """ -2607 Append to or set the SELECT expressions. -2608 -2609 Example: -2610 >>> Select().select("x", "y").sql() -2611 'SELECT x, y' -2612 -2613 Args: -2614 *expressions: the SQL code strings to parse. -2615 If an `Expression` instance is passed, it will be used as-is. -2616 append: if `True`, add to any existing expressions. -2617 Otherwise, this resets the expressions. -2618 dialect: the dialect used to parse the input expressions. -2619 copy: if `False`, modify this expression instance in-place. -2620 opts: other options to use to parse the input expressions. -2621 -2622 Returns: -2623 Select: the modified expression. -2624 """ -2625 return _apply_list_builder( -2626 *expressions, -2627 instance=self, -2628 arg="expressions", -2629 append=append, -2630 dialect=dialect, -2631 copy=copy, -2632 **opts, -2633 ) -2634 -2635 def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2636 """ -2637 Append to or set the LATERAL expressions. -2638 -2639 Example: -2640 >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql() -2641 'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z' -2642 -2643 Args: -2644 *expressions (str | Expression): the SQL code strings to parse. -2645 If an `Expression` instance is passed, it will be used as-is. -2646 append (bool): if `True`, add to any existing expressions. -2647 Otherwise, this resets the expressions. -2648 dialect (str): the dialect used to parse the input expressions. -2649 copy (bool): if `False`, modify this expression instance in-place. -2650 opts (kwargs): other options to use to parse the input expressions. -2651 -2652 Returns: -2653 Select: the modified expression. -2654 """ -2655 return _apply_list_builder( -2656 *expressions, -2657 instance=self, -2658 arg="laterals", -2659 append=append, -2660 into=Lateral, -2661 prefix="LATERAL VIEW", -2662 dialect=dialect, -2663 copy=copy, -2664 **opts, -2665 ) -2666 -2667 def join( -2668 self, -2669 expression, -2670 on=None, -2671 using=None, -2672 append=True, -2673 join_type=None, -2674 join_alias=None, -2675 dialect=None, -2676 copy=True, -2677 **opts, -2678 ) -> Select: -2679 """ -2680 Append to or set the JOIN expressions. -2681 -2682 Example: -2683 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql() -2684 'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y' -2685 -2686 >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql() -2687 'SELECT 1 FROM a JOIN b USING (x, y, z)' -2688 -2689 Use `join_type` to change the type of join: -2690 -2691 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql() -2692 'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y' +2401# https://dev.mysql.com/doc/refman/8.0/en/select.html +2402# https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/SELECT.html +2403class Lock(Expression): +2404 arg_types = {"update": True, "expressions": False, "wait": False} +2405 +2406 +2407class Select(Subqueryable): +2408 arg_types = { +2409 "with": False, +2410 "kind": False, +2411 "expressions": False, +2412 "hint": False, +2413 "distinct": False, +2414 "struct": False, # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#return_query_results_as_a_value_table +2415 "value": False, +2416 "into": False, +2417 "from": False, +2418 **QUERY_MODIFIERS, +2419 } +2420 +2421 def from_( +2422 self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts +2423 ) -> Select: +2424 """ +2425 Set the FROM expression. +2426 +2427 Example: +2428 >>> Select().from_("tbl").select("x").sql() +2429 'SELECT x FROM tbl' +2430 +2431 Args: +2432 expression : the SQL code strings to parse. +2433 If a `From` instance is passed, this is used as-is. +2434 If another `Expression` instance is passed, it will be wrapped in a `From`. +2435 dialect: the dialect used to parse the input expression. +2436 copy: if `False`, modify this expression instance in-place. +2437 opts: other options to use to parse the input expressions. +2438 +2439 Returns: +2440 The modified Select expression. +2441 """ +2442 return _apply_builder( +2443 expression=expression, +2444 instance=self, +2445 arg="from", +2446 into=From, +2447 prefix="FROM", +2448 dialect=dialect, +2449 copy=copy, +2450 **opts, +2451 ) +2452 +2453 def group_by( +2454 self, +2455 *expressions: t.Optional[ExpOrStr], +2456 append: bool = True, +2457 dialect: DialectType = None, +2458 copy: bool = True, +2459 **opts, +2460 ) -> Select: +2461 """ +2462 Set the GROUP BY expression. +2463 +2464 Example: +2465 >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql() +2466 'SELECT x, COUNT(1) FROM tbl GROUP BY x' +2467 +2468 Args: +2469 *expressions: the SQL code strings to parse. +2470 If a `Group` instance is passed, this is used as-is. +2471 If another `Expression` instance is passed, it will be wrapped in a `Group`. +2472 If nothing is passed in then a group by is not applied to the expression +2473 append: if `True`, add to any existing expressions. +2474 Otherwise, this flattens all the `Group` expression into a single expression. +2475 dialect: the dialect used to parse the input expression. +2476 copy: if `False`, modify this expression instance in-place. +2477 opts: other options to use to parse the input expressions. +2478 +2479 Returns: +2480 The modified Select expression. +2481 """ +2482 if not expressions: +2483 return self if not copy else self.copy() +2484 +2485 return _apply_child_list_builder( +2486 *expressions, +2487 instance=self, +2488 arg="group", +2489 append=append, +2490 copy=copy, +2491 prefix="GROUP BY", +2492 into=Group, +2493 dialect=dialect, +2494 **opts, +2495 ) +2496 +2497 def order_by( +2498 self, +2499 *expressions: t.Optional[ExpOrStr], +2500 append: bool = True, +2501 dialect: DialectType = None, +2502 copy: bool = True, +2503 **opts, +2504 ) -> Select: +2505 """ +2506 Set the ORDER BY expression. +2507 +2508 Example: +2509 >>> Select().from_("tbl").select("x").order_by("x DESC").sql() +2510 'SELECT x FROM tbl ORDER BY x DESC' +2511 +2512 Args: +2513 *expressions: the SQL code strings to parse. +2514 If a `Group` instance is passed, this is used as-is. +2515 If another `Expression` instance is passed, it will be wrapped in a `Order`. +2516 append: if `True`, add to any existing expressions. +2517 Otherwise, this flattens all the `Order` expression into a single expression. +2518 dialect: the dialect used to parse the input expression. +2519 copy: if `False`, modify this expression instance in-place. +2520 opts: other options to use to parse the input expressions. +2521 +2522 Returns: +2523 The modified Select expression. +2524 """ +2525 return _apply_child_list_builder( +2526 *expressions, +2527 instance=self, +2528 arg="order", +2529 append=append, +2530 copy=copy, +2531 prefix="ORDER BY", +2532 into=Order, +2533 dialect=dialect, +2534 **opts, +2535 ) +2536 +2537 def sort_by( +2538 self, +2539 *expressions: t.Optional[ExpOrStr], +2540 append: bool = True, +2541 dialect: DialectType = None, +2542 copy: bool = True, +2543 **opts, +2544 ) -> Select: +2545 """ +2546 Set the SORT BY expression. +2547 +2548 Example: +2549 >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive") +2550 'SELECT x FROM tbl SORT BY x DESC' +2551 +2552 Args: +2553 *expressions: the SQL code strings to parse. +2554 If a `Group` instance is passed, this is used as-is. +2555 If another `Expression` instance is passed, it will be wrapped in a `SORT`. +2556 append: if `True`, add to any existing expressions. +2557 Otherwise, this flattens all the `Order` expression into a single expression. +2558 dialect: the dialect used to parse the input expression. +2559 copy: if `False`, modify this expression instance in-place. +2560 opts: other options to use to parse the input expressions. +2561 +2562 Returns: +2563 The modified Select expression. +2564 """ +2565 return _apply_child_list_builder( +2566 *expressions, +2567 instance=self, +2568 arg="sort", +2569 append=append, +2570 copy=copy, +2571 prefix="SORT BY", +2572 into=Sort, +2573 dialect=dialect, +2574 **opts, +2575 ) +2576 +2577 def cluster_by( +2578 self, +2579 *expressions: t.Optional[ExpOrStr], +2580 append: bool = True, +2581 dialect: DialectType = None, +2582 copy: bool = True, +2583 **opts, +2584 ) -> Select: +2585 """ +2586 Set the CLUSTER BY expression. +2587 +2588 Example: +2589 >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive") +2590 'SELECT x FROM tbl CLUSTER BY x DESC' +2591 +2592 Args: +2593 *expressions: the SQL code strings to parse. +2594 If a `Group` instance is passed, this is used as-is. +2595 If another `Expression` instance is passed, it will be wrapped in a `Cluster`. +2596 append: if `True`, add to any existing expressions. +2597 Otherwise, this flattens all the `Order` expression into a single expression. +2598 dialect: the dialect used to parse the input expression. +2599 copy: if `False`, modify this expression instance in-place. +2600 opts: other options to use to parse the input expressions. +2601 +2602 Returns: +2603 The modified Select expression. +2604 """ +2605 return _apply_child_list_builder( +2606 *expressions, +2607 instance=self, +2608 arg="cluster", +2609 append=append, +2610 copy=copy, +2611 prefix="CLUSTER BY", +2612 into=Cluster, +2613 dialect=dialect, +2614 **opts, +2615 ) +2616 +2617 def limit( +2618 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2619 ) -> Select: +2620 """ +2621 Set the LIMIT expression. +2622 +2623 Example: +2624 >>> Select().from_("tbl").select("x").limit(10).sql() +2625 'SELECT x FROM tbl LIMIT 10' +2626 +2627 Args: +2628 expression: the SQL code string to parse. +2629 This can also be an integer. +2630 If a `Limit` instance is passed, this is used as-is. +2631 If another `Expression` instance is passed, it will be wrapped in a `Limit`. +2632 dialect: the dialect used to parse the input expression. +2633 copy: if `False`, modify this expression instance in-place. +2634 opts: other options to use to parse the input expressions. +2635 +2636 Returns: +2637 Select: the modified expression. +2638 """ +2639 return _apply_builder( +2640 expression=expression, +2641 instance=self, +2642 arg="limit", +2643 into=Limit, +2644 prefix="LIMIT", +2645 dialect=dialect, +2646 copy=copy, +2647 **opts, +2648 ) +2649 +2650 def offset( +2651 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2652 ) -> Select: +2653 """ +2654 Set the OFFSET expression. +2655 +2656 Example: +2657 >>> Select().from_("tbl").select("x").offset(10).sql() +2658 'SELECT x FROM tbl OFFSET 10' +2659 +2660 Args: +2661 expression: the SQL code string to parse. +2662 This can also be an integer. +2663 If a `Offset` instance is passed, this is used as-is. +2664 If another `Expression` instance is passed, it will be wrapped in a `Offset`. +2665 dialect: the dialect used to parse the input expression. +2666 copy: if `False`, modify this expression instance in-place. +2667 opts: other options to use to parse the input expressions. +2668 +2669 Returns: +2670 The modified Select expression. +2671 """ +2672 return _apply_builder( +2673 expression=expression, +2674 instance=self, +2675 arg="offset", +2676 into=Offset, +2677 prefix="OFFSET", +2678 dialect=dialect, +2679 copy=copy, +2680 **opts, +2681 ) +2682 +2683 def select( +2684 self, +2685 *expressions: t.Optional[ExpOrStr], +2686 append: bool = True, +2687 dialect: DialectType = None, +2688 copy: bool = True, +2689 **opts, +2690 ) -> Select: +2691 """ +2692 Append to or set the SELECT expressions. 2693 -2694 Args: -2695 expression (str | Expression): the SQL code string to parse. -2696 If an `Expression` instance is passed, it will be used as-is. -2697 on (str | Expression): optionally specify the join "on" criteria as a SQL string. -2698 If an `Expression` instance is passed, it will be used as-is. -2699 using (str | Expression): optionally specify the join "using" criteria as a SQL string. +2694 Example: +2695 >>> Select().select("x", "y").sql() +2696 'SELECT x, y' +2697 +2698 Args: +2699 *expressions: the SQL code strings to parse. 2700 If an `Expression` instance is passed, it will be used as-is. -2701 append (bool): if `True`, add to any existing expressions. +2701 append: if `True`, add to any existing expressions. 2702 Otherwise, this resets the expressions. -2703 join_type (str): If set, alter the parsed join type -2704 dialect (str): the dialect used to parse the input expressions. -2705 copy (bool): if `False`, modify this expression instance in-place. -2706 opts (kwargs): other options to use to parse the input expressions. -2707 -2708 Returns: -2709 Select: the modified expression. -2710 """ -2711 parse_args = {"dialect": dialect, **opts} -2712 -2713 try: -2714 expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args) -2715 except ParseError: -2716 expression = maybe_parse(expression, into=(Join, Expression), **parse_args) -2717 -2718 join = expression if isinstance(expression, Join) else Join(this=expression) +2703 dialect: the dialect used to parse the input expressions. +2704 copy: if `False`, modify this expression instance in-place. +2705 opts: other options to use to parse the input expressions. +2706 +2707 Returns: +2708 The modified Select expression. +2709 """ +2710 return _apply_list_builder( +2711 *expressions, +2712 instance=self, +2713 arg="expressions", +2714 append=append, +2715 dialect=dialect, +2716 copy=copy, +2717 **opts, +2718 ) 2719 -2720 if isinstance(join.this, Select): -2721 join.this.replace(join.this.subquery()) -2722 -2723 if join_type: -2724 natural: t.Optional[Token] -2725 side: t.Optional[Token] -2726 kind: t.Optional[Token] -2727 -2728 natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args) # type: ignore -2729 -2730 if natural: -2731 join.set("natural", True) -2732 if side: -2733 join.set("side", side.text) -2734 if kind: -2735 join.set("kind", kind.text) -2736 -2737 if on: -2738 on = and_(*ensure_collection(on), dialect=dialect, copy=copy, **opts) -2739 join.set("on", on) -2740 -2741 if using: -2742 join = _apply_list_builder( -2743 *ensure_collection(using), -2744 instance=join, -2745 arg="using", -2746 append=append, -2747 copy=copy, -2748 **opts, -2749 ) -2750 -2751 if join_alias: -2752 join.set("this", alias_(join.this, join_alias, table=True)) -2753 return _apply_list_builder( -2754 join, -2755 instance=self, -2756 arg="joins", -2757 append=append, -2758 copy=copy, -2759 **opts, -2760 ) -2761 -2762 def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2763 """ -2764 Append to or set the WHERE expressions. -2765 -2766 Example: -2767 >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql() -2768 "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'" -2769 -2770 Args: -2771 *expressions (str | Expression): the SQL code strings to parse. -2772 If an `Expression` instance is passed, it will be used as-is. -2773 Multiple expressions are combined with an AND operator. -2774 append (bool): if `True`, AND the new expressions to any existing expression. -2775 Otherwise, this resets the expression. -2776 dialect (str): the dialect used to parse the input expressions. -2777 copy (bool): if `False`, modify this expression instance in-place. -2778 opts (kwargs): other options to use to parse the input expressions. -2779 -2780 Returns: -2781 Select: the modified expression. -2782 """ -2783 return _apply_conjunction_builder( -2784 *expressions, -2785 instance=self, -2786 arg="where", -2787 append=append, -2788 into=Where, -2789 dialect=dialect, -2790 copy=copy, -2791 **opts, -2792 ) -2793 -2794 def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2795 """ -2796 Append to or set the HAVING expressions. -2797 -2798 Example: -2799 >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql() -2800 'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3' -2801 -2802 Args: -2803 *expressions (str | Expression): the SQL code strings to parse. -2804 If an `Expression` instance is passed, it will be used as-is. -2805 Multiple expressions are combined with an AND operator. -2806 append (bool): if `True`, AND the new expressions to any existing expression. -2807 Otherwise, this resets the expression. -2808 dialect (str): the dialect used to parse the input expressions. -2809 copy (bool): if `False`, modify this expression instance in-place. -2810 opts (kwargs): other options to use to parse the input expressions. -2811 -2812 Returns: -2813 Select: the modified expression. -2814 """ -2815 return _apply_conjunction_builder( -2816 *expressions, -2817 instance=self, -2818 arg="having", -2819 append=append, -2820 into=Having, -2821 dialect=dialect, -2822 copy=copy, -2823 **opts, -2824 ) -2825 -2826 def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2827 return _apply_list_builder( -2828 *expressions, -2829 instance=self, -2830 arg="windows", -2831 append=append, -2832 into=Window, -2833 dialect=dialect, -2834 copy=copy, -2835 **opts, -2836 ) -2837 -2838 def qualify(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select: -2839 return _apply_conjunction_builder( -2840 *expressions, -2841 instance=self, -2842 arg="qualify", -2843 append=append, -2844 into=Qualify, -2845 dialect=dialect, -2846 copy=copy, -2847 **opts, -2848 ) -2849 -2850 def distinct(self, *ons: ExpOrStr, distinct: bool = True, copy: bool = True) -> Select: -2851 """ -2852 Set the OFFSET expression. -2853 -2854 Example: -2855 >>> Select().from_("tbl").select("x").distinct().sql() -2856 'SELECT DISTINCT x FROM tbl' -2857 -2858 Args: -2859 ons: the expressions to distinct on -2860 distinct: whether the Select should be distinct -2861 copy: if `False`, modify this expression instance in-place. -2862 -2863 Returns: -2864 Select: the modified expression. -2865 """ -2866 instance = _maybe_copy(self, copy) -2867 on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons]) if ons else None -2868 instance.set("distinct", Distinct(on=on) if distinct else None) -2869 return instance +2720 def lateral( +2721 self, +2722 *expressions: t.Optional[ExpOrStr], +2723 append: bool = True, +2724 dialect: DialectType = None, +2725 copy: bool = True, +2726 **opts, +2727 ) -> Select: +2728 """ +2729 Append to or set the LATERAL expressions. +2730 +2731 Example: +2732 >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql() +2733 'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z' +2734 +2735 Args: +2736 *expressions: the SQL code strings to parse. +2737 If an `Expression` instance is passed, it will be used as-is. +2738 append: if `True`, add to any existing expressions. +2739 Otherwise, this resets the expressions. +2740 dialect: the dialect used to parse the input expressions. +2741 copy: if `False`, modify this expression instance in-place. +2742 opts: other options to use to parse the input expressions. +2743 +2744 Returns: +2745 The modified Select expression. +2746 """ +2747 return _apply_list_builder( +2748 *expressions, +2749 instance=self, +2750 arg="laterals", +2751 append=append, +2752 into=Lateral, +2753 prefix="LATERAL VIEW", +2754 dialect=dialect, +2755 copy=copy, +2756 **opts, +2757 ) +2758 +2759 def join( +2760 self, +2761 expression: ExpOrStr, +2762 on: t.Optional[ExpOrStr] = None, +2763 using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None, +2764 append: bool = True, +2765 join_type: t.Optional[str] = None, +2766 join_alias: t.Optional[Identifier | str] = None, +2767 dialect: DialectType = None, +2768 copy: bool = True, +2769 **opts, +2770 ) -> Select: +2771 """ +2772 Append to or set the JOIN expressions. +2773 +2774 Example: +2775 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql() +2776 'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y' +2777 +2778 >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql() +2779 'SELECT 1 FROM a JOIN b USING (x, y, z)' +2780 +2781 Use `join_type` to change the type of join: +2782 +2783 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql() +2784 'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y' +2785 +2786 Args: +2787 expression: the SQL code string to parse. +2788 If an `Expression` instance is passed, it will be used as-is. +2789 on: optionally specify the join "on" criteria as a SQL string. +2790 If an `Expression` instance is passed, it will be used as-is. +2791 using: optionally specify the join "using" criteria as a SQL string. +2792 If an `Expression` instance is passed, it will be used as-is. +2793 append: if `True`, add to any existing expressions. +2794 Otherwise, this resets the expressions. +2795 join_type: if set, alter the parsed join type. +2796 join_alias: an optional alias for the joined source. +2797 dialect: the dialect used to parse the input expressions. +2798 copy: if `False`, modify this expression instance in-place. +2799 opts: other options to use to parse the input expressions. +2800 +2801 Returns: +2802 Select: the modified expression. +2803 """ +2804 parse_args = {"dialect": dialect, **opts} +2805 +2806 try: +2807 expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args) # type: ignore +2808 except ParseError: +2809 expression = maybe_parse(expression, into=(Join, Expression), **parse_args) # type: ignore +2810 +2811 join = expression if isinstance(expression, Join) else Join(this=expression) +2812 +2813 if isinstance(join.this, Select): +2814 join.this.replace(join.this.subquery()) +2815 +2816 if join_type: +2817 natural: t.Optional[Token] +2818 side: t.Optional[Token] +2819 kind: t.Optional[Token] +2820 +2821 natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args) # type: ignore +2822 +2823 if natural: +2824 join.set("natural", True) +2825 if side: +2826 join.set("side", side.text) +2827 if kind: +2828 join.set("kind", kind.text) +2829 +2830 if on: +2831 on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts) +2832 join.set("on", on) +2833 +2834 if using: +2835 join = _apply_list_builder( +2836 *ensure_list(using), +2837 instance=join, +2838 arg="using", +2839 append=append, +2840 copy=copy, +2841 **opts, +2842 ) +2843 +2844 if join_alias: +2845 join.set("this", alias_(join.this, join_alias, table=True)) +2846 +2847 return _apply_list_builder( +2848 join, +2849 instance=self, +2850 arg="joins", +2851 append=append, +2852 copy=copy, +2853 **opts, +2854 ) +2855 +2856 def where( +2857 self, +2858 *expressions: t.Optional[ExpOrStr], +2859 append: bool = True, +2860 dialect: DialectType = None, +2861 copy: bool = True, +2862 **opts, +2863 ) -> Select: +2864 """ +2865 Append to or set the WHERE expressions. +2866 +2867 Example: +2868 >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql() +2869 "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'" 2870 -2871 def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create: -2872 """ -2873 Convert this expression to a CREATE TABLE AS statement. -2874 -2875 Example: -2876 >>> Select().select("*").from_("tbl").ctas("x").sql() -2877 'CREATE TABLE x AS SELECT * FROM tbl' -2878 -2879 Args: -2880 table (str | Expression): the SQL code string to parse as the table name. -2881 If another `Expression` instance is passed, it will be used as-is. -2882 properties (dict): an optional mapping of table properties -2883 dialect (str): the dialect used to parse the input table. -2884 copy (bool): if `False`, modify this expression instance in-place. -2885 opts (kwargs): other options to use to parse the input table. -2886 -2887 Returns: -2888 Create: the CREATE TABLE AS expression -2889 """ -2890 instance = _maybe_copy(self, copy) -2891 table_expression = maybe_parse( -2892 table, -2893 into=Table, -2894 dialect=dialect, -2895 **opts, -2896 ) -2897 properties_expression = None -2898 if properties: -2899 properties_expression = Properties.from_dict(properties) -2900 -2901 return Create( -2902 this=table_expression, -2903 kind="table", -2904 expression=instance, -2905 properties=properties_expression, -2906 ) -2907 -2908 def lock(self, update: bool = True, copy: bool = True) -> Select: -2909 """ -2910 Set the locking read mode for this expression. -2911 -2912 Examples: -2913 >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql") -2914 "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE" -2915 -2916 >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql") -2917 "SELECT x FROM tbl WHERE x = 'a' FOR SHARE" -2918 -2919 Args: -2920 update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`. -2921 copy: if `False`, modify this expression instance in-place. -2922 -2923 Returns: -2924 The modified expression. -2925 """ -2926 -2927 inst = _maybe_copy(self, copy) -2928 inst.set("locks", [Lock(update=update)]) -2929 -2930 return inst -2931 -2932 @property -2933 def named_selects(self) -> t.List[str]: -2934 return [e.output_name for e in self.expressions if e.alias_or_name] -2935 -2936 @property -2937 def is_star(self) -> bool: -2938 return any(expression.is_star for expression in self.expressions) -2939 -2940 @property -2941 def selects(self) -> t.List[Expression]: -2942 return self.expressions -2943 -2944 -2945class Subquery(DerivedTable, Unionable): -2946 arg_types = { -2947 "this": True, -2948 "alias": False, -2949 "with": False, -2950 **QUERY_MODIFIERS, -2951 } +2871 Args: +2872 *expressions: the SQL code strings to parse. +2873 If an `Expression` instance is passed, it will be used as-is. +2874 Multiple expressions are combined with an AND operator. +2875 append: if `True`, AND the new expressions to any existing expression. +2876 Otherwise, this resets the expression. +2877 dialect: the dialect used to parse the input expressions. +2878 copy: if `False`, modify this expression instance in-place. +2879 opts: other options to use to parse the input expressions. +2880 +2881 Returns: +2882 Select: the modified expression. +2883 """ +2884 return _apply_conjunction_builder( +2885 *expressions, +2886 instance=self, +2887 arg="where", +2888 append=append, +2889 into=Where, +2890 dialect=dialect, +2891 copy=copy, +2892 **opts, +2893 ) +2894 +2895 def having( +2896 self, +2897 *expressions: t.Optional[ExpOrStr], +2898 append: bool = True, +2899 dialect: DialectType = None, +2900 copy: bool = True, +2901 **opts, +2902 ) -> Select: +2903 """ +2904 Append to or set the HAVING expressions. +2905 +2906 Example: +2907 >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql() +2908 'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3' +2909 +2910 Args: +2911 *expressions: the SQL code strings to parse. +2912 If an `Expression` instance is passed, it will be used as-is. +2913 Multiple expressions are combined with an AND operator. +2914 append: if `True`, AND the new expressions to any existing expression. +2915 Otherwise, this resets the expression. +2916 dialect: the dialect used to parse the input expressions. +2917 copy: if `False`, modify this expression instance in-place. +2918 opts: other options to use to parse the input expressions. +2919 +2920 Returns: +2921 The modified Select expression. +2922 """ +2923 return _apply_conjunction_builder( +2924 *expressions, +2925 instance=self, +2926 arg="having", +2927 append=append, +2928 into=Having, +2929 dialect=dialect, +2930 copy=copy, +2931 **opts, +2932 ) +2933 +2934 def window( +2935 self, +2936 *expressions: t.Optional[ExpOrStr], +2937 append: bool = True, +2938 dialect: DialectType = None, +2939 copy: bool = True, +2940 **opts, +2941 ) -> Select: +2942 return _apply_list_builder( +2943 *expressions, +2944 instance=self, +2945 arg="windows", +2946 append=append, +2947 into=Window, +2948 dialect=dialect, +2949 copy=copy, +2950 **opts, +2951 ) 2952 -2953 def unnest(self): -2954 """ -2955 Returns the first non subquery. -2956 """ -2957 expression = self -2958 while isinstance(expression, Subquery): -2959 expression = expression.this -2960 return expression -2961 -2962 @property -2963 def is_star(self) -> bool: -2964 return self.this.is_star -2965 -2966 @property -2967 def output_name(self): -2968 return self.alias -2969 -2970 -2971class TableSample(Expression): -2972 arg_types = { -2973 "this": False, -2974 "method": False, -2975 "bucket_numerator": False, -2976 "bucket_denominator": False, -2977 "bucket_field": False, -2978 "percent": False, -2979 "rows": False, -2980 "size": False, -2981 "seed": False, -2982 "kind": False, -2983 } -2984 -2985 -2986class Tag(Expression): -2987 """Tags are used for generating arbitrary sql like SELECT <span>x</span>.""" -2988 -2989 arg_types = { -2990 "this": False, -2991 "prefix": False, -2992 "postfix": False, -2993 } +2953 def qualify( +2954 self, +2955 *expressions: t.Optional[ExpOrStr], +2956 append: bool = True, +2957 dialect: DialectType = None, +2958 copy: bool = True, +2959 **opts, +2960 ) -> Select: +2961 return _apply_conjunction_builder( +2962 *expressions, +2963 instance=self, +2964 arg="qualify", +2965 append=append, +2966 into=Qualify, +2967 dialect=dialect, +2968 copy=copy, +2969 **opts, +2970 ) +2971 +2972 def distinct( +2973 self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True +2974 ) -> Select: +2975 """ +2976 Set the OFFSET expression. +2977 +2978 Example: +2979 >>> Select().from_("tbl").select("x").distinct().sql() +2980 'SELECT DISTINCT x FROM tbl' +2981 +2982 Args: +2983 ons: the expressions to distinct on +2984 distinct: whether the Select should be distinct +2985 copy: if `False`, modify this expression instance in-place. +2986 +2987 Returns: +2988 Select: the modified expression. +2989 """ +2990 instance = _maybe_copy(self, copy) +2991 on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None +2992 instance.set("distinct", Distinct(on=on) if distinct else None) +2993 return instance 2994 -2995 -2996class Pivot(Expression): -2997 arg_types = { -2998 "alias": False, -2999 "expressions": True, -3000 "field": True, -3001 "unpivot": True, -3002 "columns": False, -3003 } -3004 +2995 def ctas( +2996 self, +2997 table: ExpOrStr, +2998 properties: t.Optional[t.Dict] = None, +2999 dialect: DialectType = None, +3000 copy: bool = True, +3001 **opts, +3002 ) -> Create: +3003 """ +3004 Convert this expression to a CREATE TABLE AS statement. 3005 -3006class Window(Expression): -3007 arg_types = { -3008 "this": True, -3009 "partition_by": False, -3010 "order": False, -3011 "spec": False, -3012 "alias": False, -3013 "over": False, -3014 "first": False, -3015 } -3016 +3006 Example: +3007 >>> Select().select("*").from_("tbl").ctas("x").sql() +3008 'CREATE TABLE x AS SELECT * FROM tbl' +3009 +3010 Args: +3011 table: the SQL code string to parse as the table name. +3012 If another `Expression` instance is passed, it will be used as-is. +3013 properties: an optional mapping of table properties +3014 dialect: the dialect used to parse the input table. +3015 copy: if `False`, modify this expression instance in-place. +3016 opts: other options to use to parse the input table. 3017 -3018class WindowSpec(Expression): -3019 arg_types = { -3020 "kind": False, -3021 "start": False, -3022 "start_side": False, -3023 "end": False, -3024 "end_side": False, -3025 } -3026 -3027 -3028class Where(Expression): -3029 pass -3030 +3018 Returns: +3019 The new Create expression. +3020 """ +3021 instance = _maybe_copy(self, copy) +3022 table_expression = maybe_parse( +3023 table, +3024 into=Table, +3025 dialect=dialect, +3026 **opts, +3027 ) +3028 properties_expression = None +3029 if properties: +3030 properties_expression = Properties.from_dict(properties) 3031 -3032class Star(Expression): -3033 arg_types = {"except": False, "replace": False} -3034 -3035 @property -3036 def name(self) -> str: -3037 return "*" +3032 return Create( +3033 this=table_expression, +3034 kind="table", +3035 expression=instance, +3036 properties=properties_expression, +3037 ) 3038 -3039 @property -3040 def output_name(self): -3041 return self.name +3039 def lock(self, update: bool = True, copy: bool = True) -> Select: +3040 """ +3041 Set the locking read mode for this expression. 3042 -3043 -3044class Parameter(Expression): -3045 arg_types = {"this": True, "wrapped": False} +3043 Examples: +3044 >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql") +3045 "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE" 3046 -3047 -3048class SessionParameter(Expression): -3049 arg_types = {"this": True, "kind": False} -3050 -3051 -3052class Placeholder(Expression): -3053 arg_types = {"this": False, "kind": False} -3054 -3055 -3056class Null(Condition): -3057 arg_types: t.Dict[str, t.Any] = {} -3058 -3059 @property -3060 def name(self) -> str: -3061 return "NULL" +3047 >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql") +3048 "SELECT x FROM tbl WHERE x = 'a' FOR SHARE" +3049 +3050 Args: +3051 update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`. +3052 copy: if `False`, modify this expression instance in-place. +3053 +3054 Returns: +3055 The modified expression. +3056 """ +3057 +3058 inst = _maybe_copy(self, copy) +3059 inst.set("locks", [Lock(update=update)]) +3060 +3061 return inst 3062 -3063 -3064class Boolean(Condition): -3065 pass +3063 @property +3064 def named_selects(self) -> t.List[str]: +3065 return [e.output_name for e in self.expressions if e.alias_or_name] 3066 -3067 -3068class DataTypeSize(Expression): -3069 arg_types = {"this": True, "expression": False} +3067 @property +3068 def is_star(self) -> bool: +3069 return any(expression.is_star for expression in self.expressions) 3070 -3071 -3072class DataType(Expression): -3073 arg_types = { -3074 "this": True, -3075 "expressions": False, -3076 "nested": False, -3077 "values": False, -3078 "prefix": False, -3079 } -3080 -3081 class Type(AutoName): -3082 ARRAY = auto() -3083 BIGDECIMAL = auto() -3084 BIGINT = auto() -3085 BIGSERIAL = auto() -3086 BINARY = auto() -3087 BIT = auto() -3088 BOOLEAN = auto() -3089 CHAR = auto() -3090 DATE = auto() -3091 DATETIME = auto() -3092 DATETIME64 = auto() -3093 DECIMAL = auto() -3094 DOUBLE = auto() -3095 FLOAT = auto() -3096 GEOGRAPHY = auto() -3097 GEOMETRY = auto() -3098 HLLSKETCH = auto() -3099 HSTORE = auto() -3100 IMAGE = auto() -3101 INET = auto() -3102 INT = auto() -3103 INT128 = auto() -3104 INT256 = auto() -3105 INTERVAL = auto() -3106 JSON = auto() -3107 JSONB = auto() -3108 LONGBLOB = auto() -3109 LONGTEXT = auto() -3110 MAP = auto() -3111 MEDIUMBLOB = auto() -3112 MEDIUMTEXT = auto() -3113 MONEY = auto() -3114 NCHAR = auto() -3115 NULL = auto() -3116 NULLABLE = auto() -3117 NVARCHAR = auto() -3118 OBJECT = auto() -3119 ROWVERSION = auto() -3120 SERIAL = auto() -3121 SMALLINT = auto() -3122 SMALLMONEY = auto() -3123 SMALLSERIAL = auto() -3124 STRUCT = auto() -3125 SUPER = auto() -3126 TEXT = auto() -3127 TIME = auto() -3128 TIMESTAMP = auto() -3129 TIMESTAMPTZ = auto() -3130 TIMESTAMPLTZ = auto() -3131 TINYINT = auto() -3132 UBIGINT = auto() -3133 UINT = auto() -3134 USMALLINT = auto() -3135 UTINYINT = auto() -3136 UNKNOWN = auto() # Sentinel value, useful for type annotation -3137 UINT128 = auto() -3138 UINT256 = auto() -3139 UNIQUEIDENTIFIER = auto() -3140 UUID = auto() -3141 VARBINARY = auto() -3142 VARCHAR = auto() -3143 VARIANT = auto() -3144 XML = auto() -3145 -3146 TEXT_TYPES = { -3147 Type.CHAR, -3148 Type.NCHAR, -3149 Type.VARCHAR, -3150 Type.NVARCHAR, -3151 Type.TEXT, -3152 } -3153 -3154 INTEGER_TYPES = { -3155 Type.INT, -3156 Type.TINYINT, -3157 Type.SMALLINT, -3158 Type.BIGINT, -3159 Type.INT128, -3160 Type.INT256, -3161 } +3071 @property +3072 def selects(self) -> t.List[Expression]: +3073 return self.expressions +3074 +3075 +3076class Subquery(DerivedTable, Unionable): +3077 arg_types = { +3078 "this": True, +3079 "alias": False, +3080 "with": False, +3081 **QUERY_MODIFIERS, +3082 } +3083 +3084 def unnest(self): +3085 """ +3086 Returns the first non subquery. +3087 """ +3088 expression = self +3089 while isinstance(expression, Subquery): +3090 expression = expression.this +3091 return expression +3092 +3093 @property +3094 def is_star(self) -> bool: +3095 return self.this.is_star +3096 +3097 @property +3098 def output_name(self) -> str: +3099 return self.alias +3100 +3101 +3102class TableSample(Expression): +3103 arg_types = { +3104 "this": False, +3105 "method": False, +3106 "bucket_numerator": False, +3107 "bucket_denominator": False, +3108 "bucket_field": False, +3109 "percent": False, +3110 "rows": False, +3111 "size": False, +3112 "seed": False, +3113 "kind": False, +3114 } +3115 +3116 +3117class Tag(Expression): +3118 """Tags are used for generating arbitrary sql like SELECT <span>x</span>.""" +3119 +3120 arg_types = { +3121 "this": False, +3122 "prefix": False, +3123 "postfix": False, +3124 } +3125 +3126 +3127class Pivot(Expression): +3128 arg_types = { +3129 "alias": False, +3130 "expressions": True, +3131 "field": True, +3132 "unpivot": True, +3133 "columns": False, +3134 } +3135 +3136 +3137class Window(Expression): +3138 arg_types = { +3139 "this": True, +3140 "partition_by": False, +3141 "order": False, +3142 "spec": False, +3143 "alias": False, +3144 "over": False, +3145 "first": False, +3146 } +3147 +3148 +3149class WindowSpec(Expression): +3150 arg_types = { +3151 "kind": False, +3152 "start": False, +3153 "start_side": False, +3154 "end": False, +3155 "end_side": False, +3156 } +3157 +3158 +3159class Where(Expression): +3160 pass +3161 3162 -3163 FLOAT_TYPES = { -3164 Type.FLOAT, -3165 Type.DOUBLE, -3166 } -3167 -3168 NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES} +3163class Star(Expression): +3164 arg_types = {"except": False, "replace": False} +3165 +3166 @property +3167 def name(self) -> str: +3168 return "*" 3169 -3170 TEMPORAL_TYPES = { -3171 Type.TIMESTAMP, -3172 Type.TIMESTAMPTZ, -3173 Type.TIMESTAMPLTZ, -3174 Type.DATE, -3175 Type.DATETIME, -3176 Type.DATETIME64, -3177 } +3170 @property +3171 def output_name(self) -> str: +3172 return self.name +3173 +3174 +3175class Parameter(Expression): +3176 arg_types = {"this": True, "wrapped": False} +3177 3178 -3179 @classmethod -3180 def build( -3181 cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs -3182 ) -> DataType: -3183 from sqlglot import parse_one -3184 -3185 if isinstance(dtype, str): -3186 if dtype.upper() in cls.Type.__members__: -3187 data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()]) -3188 else: -3189 data_type_exp = parse_one(dtype, read=dialect, into=DataType) -3190 -3191 if data_type_exp is None: -3192 raise ValueError(f"Unparsable data type value: {dtype}") -3193 elif isinstance(dtype, DataType.Type): -3194 data_type_exp = DataType(this=dtype) -3195 elif isinstance(dtype, DataType): -3196 return dtype -3197 else: -3198 raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type") -3199 -3200 return DataType(**{**data_type_exp.args, **kwargs}) +3179class SessionParameter(Expression): +3180 arg_types = {"this": True, "kind": False} +3181 +3182 +3183class Placeholder(Expression): +3184 arg_types = {"this": False, "kind": False} +3185 +3186 +3187class Null(Condition): +3188 arg_types: t.Dict[str, t.Any] = {} +3189 +3190 @property +3191 def name(self) -> str: +3192 return "NULL" +3193 +3194 +3195class Boolean(Condition): +3196 pass +3197 +3198 +3199class DataTypeSize(Expression): +3200 arg_types = {"this": True, "expression": False} 3201 -3202 def is_type(self, dtype: DataType.Type) -> bool: -3203 return self.this == dtype -3204 -3205 -3206# https://www.postgresql.org/docs/15/datatype-pseudo.html -3207class PseudoType(Expression): -3208 pass -3209 -3210 -3211# WHERE x <OP> EXISTS|ALL|ANY|SOME(SELECT ...) -3212class SubqueryPredicate(Predicate): -3213 pass -3214 -3215 -3216class All(SubqueryPredicate): -3217 pass -3218 -3219 -3220class Any(SubqueryPredicate): -3221 pass -3222 -3223 -3224class Exists(SubqueryPredicate): -3225 pass -3226 -3227 -3228# Commands to interact with the databases or engines. For most of the command -3229# expressions we parse whatever comes after the command's name as a string. -3230class Command(Expression): -3231 arg_types = {"this": True, "expression": False} -3232 -3233 -3234class Transaction(Expression): -3235 arg_types = {"this": False, "modes": False} -3236 -3237 -3238class Commit(Expression): -3239 arg_types = {"chain": False} -3240 -3241 -3242class Rollback(Expression): -3243 arg_types = {"savepoint": False} -3244 -3245 -3246class AlterTable(Expression): -3247 arg_types = {"this": True, "actions": True, "exists": False} -3248 -3249 -3250class AddConstraint(Expression): -3251 arg_types = {"this": False, "expression": False, "enforced": False} -3252 -3253 -3254class DropPartition(Expression): -3255 arg_types = {"expressions": True, "exists": False} -3256 -3257 -3258# Binary expressions like (ADD a b) -3259class Binary(Condition): -3260 arg_types = {"this": True, "expression": True} -3261 -3262 @property -3263 def left(self): -3264 return self.this -3265 -3266 @property -3267 def right(self): -3268 return self.expression -3269 -3270 -3271class Add(Binary): -3272 pass -3273 -3274 -3275class Connector(Binary): -3276 pass -3277 -3278 -3279class And(Connector): -3280 pass -3281 -3282 -3283class Or(Connector): -3284 pass -3285 -3286 -3287class BitwiseAnd(Binary): -3288 pass -3289 -3290 -3291class BitwiseLeftShift(Binary): -3292 pass +3202 +3203class DataType(Expression): +3204 arg_types = { +3205 "this": True, +3206 "expressions": False, +3207 "nested": False, +3208 "values": False, +3209 "prefix": False, +3210 } +3211 +3212 class Type(AutoName): +3213 ARRAY = auto() +3214 BIGDECIMAL = auto() +3215 BIGINT = auto() +3216 BIGSERIAL = auto() +3217 BINARY = auto() +3218 BIT = auto() +3219 BOOLEAN = auto() +3220 CHAR = auto() +3221 DATE = auto() +3222 DATETIME = auto() +3223 DATETIME64 = auto() +3224 DECIMAL = auto() +3225 DOUBLE = auto() +3226 FLOAT = auto() +3227 GEOGRAPHY = auto() +3228 GEOMETRY = auto() +3229 HLLSKETCH = auto() +3230 HSTORE = auto() +3231 IMAGE = auto() +3232 INET = auto() +3233 INT = auto() +3234 INT128 = auto() +3235 INT256 = auto() +3236 INTERVAL = auto() +3237 JSON = auto() +3238 JSONB = auto() +3239 LONGBLOB = auto() +3240 LONGTEXT = auto() +3241 MAP = auto() +3242 MEDIUMBLOB = auto() +3243 MEDIUMTEXT = auto() +3244 MONEY = auto() +3245 NCHAR = auto() +3246 NULL = auto() +3247 NULLABLE = auto() +3248 NVARCHAR = auto() +3249 OBJECT = auto() +3250 ROWVERSION = auto() +3251 SERIAL = auto() +3252 SMALLINT = auto() +3253 SMALLMONEY = auto() +3254 SMALLSERIAL = auto() +3255 STRUCT = auto() +3256 SUPER = auto() +3257 TEXT = auto() +3258 TIME = auto() +3259 TIMESTAMP = auto() +3260 TIMESTAMPTZ = auto() +3261 TIMESTAMPLTZ = auto() +3262 TINYINT = auto() +3263 UBIGINT = auto() +3264 UINT = auto() +3265 USMALLINT = auto() +3266 UTINYINT = auto() +3267 UNKNOWN = auto() # Sentinel value, useful for type annotation +3268 UINT128 = auto() +3269 UINT256 = auto() +3270 UNIQUEIDENTIFIER = auto() +3271 UUID = auto() +3272 VARBINARY = auto() +3273 VARCHAR = auto() +3274 VARIANT = auto() +3275 XML = auto() +3276 +3277 TEXT_TYPES = { +3278 Type.CHAR, +3279 Type.NCHAR, +3280 Type.VARCHAR, +3281 Type.NVARCHAR, +3282 Type.TEXT, +3283 } +3284 +3285 INTEGER_TYPES = { +3286 Type.INT, +3287 Type.TINYINT, +3288 Type.SMALLINT, +3289 Type.BIGINT, +3290 Type.INT128, +3291 Type.INT256, +3292 } 3293 -3294 -3295class BitwiseOr(Binary): -3296 pass -3297 +3294 FLOAT_TYPES = { +3295 Type.FLOAT, +3296 Type.DOUBLE, +3297 } 3298 -3299class BitwiseRightShift(Binary): -3300 pass -3301 -3302 -3303class BitwiseXor(Binary): -3304 pass -3305 -3306 -3307class Div(Binary): -3308 pass +3299 NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES} +3300 +3301 TEMPORAL_TYPES = { +3302 Type.TIMESTAMP, +3303 Type.TIMESTAMPTZ, +3304 Type.TIMESTAMPLTZ, +3305 Type.DATE, +3306 Type.DATETIME, +3307 Type.DATETIME64, +3308 } 3309 -3310 -3311class Overlaps(Binary): -3312 pass -3313 -3314 -3315class Dot(Binary): -3316 @property -3317 def name(self) -> str: -3318 return self.expression.name -3319 -3320 @classmethod -3321 def build(self, expressions: t.Sequence[Expression]) -> Dot: -3322 """Build a Dot object with a sequence of expressions.""" -3323 if len(expressions) < 2: -3324 raise ValueError(f"Dot requires >= 2 expressions.") -3325 -3326 a, b, *expressions = expressions -3327 dot = Dot(this=a, expression=b) -3328 -3329 for expression in expressions: -3330 dot = Dot(this=dot, expression=expression) -3331 -3332 return dot -3333 -3334 -3335class DPipe(Binary): -3336 pass -3337 -3338 -3339class EQ(Binary, Predicate): -3340 pass +3310 @classmethod +3311 def build( +3312 cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs +3313 ) -> DataType: +3314 from sqlglot import parse_one +3315 +3316 if isinstance(dtype, str): +3317 if dtype.upper() in cls.Type.__members__: +3318 data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()]) +3319 else: +3320 data_type_exp = parse_one(dtype, read=dialect, into=DataType) +3321 +3322 if data_type_exp is None: +3323 raise ValueError(f"Unparsable data type value: {dtype}") +3324 elif isinstance(dtype, DataType.Type): +3325 data_type_exp = DataType(this=dtype) +3326 elif isinstance(dtype, DataType): +3327 return dtype +3328 else: +3329 raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type") +3330 +3331 return DataType(**{**data_type_exp.args, **kwargs}) +3332 +3333 def is_type(self, dtype: DataType.Type) -> bool: +3334 return self.this == dtype +3335 +3336 +3337# https://www.postgresql.org/docs/15/datatype-pseudo.html +3338class PseudoType(Expression): +3339 pass +3340 3341 -3342 -3343class NullSafeEQ(Binary, Predicate): +3342# WHERE x <OP> EXISTS|ALL|ANY|SOME(SELECT ...) +3343class SubqueryPredicate(Predicate): 3344 pass 3345 3346 -3347class NullSafeNEQ(Binary, Predicate): +3347class All(SubqueryPredicate): 3348 pass 3349 3350 -3351class Distance(Binary): +3351class Any(SubqueryPredicate): 3352 pass 3353 3354 -3355class Escape(Binary): +3355class Exists(SubqueryPredicate): 3356 pass 3357 3358 -3359class Glob(Binary, Predicate): -3360 pass -3361 -3362 -3363class GT(Binary, Predicate): -3364 pass -3365 -3366 -3367class GTE(Binary, Predicate): -3368 pass -3369 -3370 -3371class ILike(Binary, Predicate): -3372 pass -3373 -3374 -3375class ILikeAny(Binary, Predicate): -3376 pass -3377 -3378 -3379class IntDiv(Binary): -3380 pass -3381 -3382 -3383class Is(Binary, Predicate): -3384 pass -3385 -3386 -3387class Kwarg(Binary): -3388 """Kwarg in special functions like func(kwarg => y).""" -3389 -3390 -3391class Like(Binary, Predicate): -3392 pass -3393 -3394 -3395class LikeAny(Binary, Predicate): -3396 pass -3397 -3398 -3399class LT(Binary, Predicate): -3400 pass +3359# Commands to interact with the databases or engines. For most of the command +3360# expressions we parse whatever comes after the command's name as a string. +3361class Command(Expression): +3362 arg_types = {"this": True, "expression": False} +3363 +3364 +3365class Transaction(Expression): +3366 arg_types = {"this": False, "modes": False} +3367 +3368 +3369class Commit(Expression): +3370 arg_types = {"chain": False} +3371 +3372 +3373class Rollback(Expression): +3374 arg_types = {"savepoint": False} +3375 +3376 +3377class AlterTable(Expression): +3378 arg_types = {"this": True, "actions": True, "exists": False} +3379 +3380 +3381class AddConstraint(Expression): +3382 arg_types = {"this": False, "expression": False, "enforced": False} +3383 +3384 +3385class DropPartition(Expression): +3386 arg_types = {"expressions": True, "exists": False} +3387 +3388 +3389# Binary expressions like (ADD a b) +3390class Binary(Condition): +3391 arg_types = {"this": True, "expression": True} +3392 +3393 @property +3394 def left(self): +3395 return self.this +3396 +3397 @property +3398 def right(self): +3399 return self.expression +3400 3401 -3402 -3403class LTE(Binary, Predicate): -3404 pass +3402class Add(Binary): +3403 pass +3404 3405 -3406 -3407class Mod(Binary): -3408 pass +3406class Connector(Binary): +3407 pass +3408 3409 -3410 -3411class Mul(Binary): -3412 pass +3410class And(Connector): +3411 pass +3412 3413 -3414 -3415class NEQ(Binary, Predicate): -3416 pass +3414class Or(Connector): +3415 pass +3416 3417 -3418 -3419class SimilarTo(Binary, Predicate): -3420 pass +3418class BitwiseAnd(Binary): +3419 pass +3420 3421 -3422 -3423class Slice(Binary): -3424 arg_types = {"this": False, "expression": False} +3422class BitwiseLeftShift(Binary): +3423 pass +3424 3425 -3426 -3427class Sub(Binary): -3428 pass +3426class BitwiseOr(Binary): +3427 pass +3428 3429 -3430 -3431class ArrayOverlaps(Binary): -3432 pass +3430class BitwiseRightShift(Binary): +3431 pass +3432 3433 -3434 -3435# Unary Expressions -3436# (NOT a) -3437class Unary(Condition): -3438 pass -3439 +3434class BitwiseXor(Binary): +3435 pass +3436 +3437 +3438class Div(Binary): +3439 pass 3440 -3441class BitwiseNot(Unary): -3442 pass -3443 +3441 +3442class Overlaps(Binary): +3443 pass 3444 -3445class Not(Unary): -3446 pass -3447 -3448 -3449class Paren(Unary): -3450 arg_types = {"this": True, "with": False} -3451 -3452 -3453class Neg(Unary): -3454 pass -3455 +3445 +3446class Dot(Binary): +3447 @property +3448 def name(self) -> str: +3449 return self.expression.name +3450 +3451 @classmethod +3452 def build(self, expressions: t.Sequence[Expression]) -> Dot: +3453 """Build a Dot object with a sequence of expressions.""" +3454 if len(expressions) < 2: +3455 raise ValueError(f"Dot requires >= 2 expressions.") 3456 -3457class Alias(Expression): -3458 arg_types = {"this": True, "alias": False} +3457 a, b, *expressions = expressions +3458 dot = Dot(this=a, expression=b) 3459 -3460 @property -3461 def output_name(self): -3462 return self.alias -3463 +3460 for expression in expressions: +3461 dot = Dot(this=dot, expression=expression) +3462 +3463 return dot 3464 -3465class Aliases(Expression): -3466 arg_types = {"this": True, "expressions": True} -3467 -3468 @property -3469 def aliases(self): -3470 return self.expressions -3471 +3465 +3466class DPipe(Binary): +3467 pass +3468 +3469 +3470class EQ(Binary, Predicate): +3471 pass 3472 -3473class AtTimeZone(Expression): -3474 arg_types = {"this": True, "zone": True} -3475 +3473 +3474class NullSafeEQ(Binary, Predicate): +3475 pass 3476 -3477class Between(Predicate): -3478 arg_types = {"this": True, "low": True, "high": True} -3479 +3477 +3478class NullSafeNEQ(Binary, Predicate): +3479 pass 3480 -3481class Bracket(Condition): -3482 arg_types = {"this": True, "expressions": True} -3483 +3481 +3482class Distance(Binary): +3483 pass 3484 -3485class Distinct(Expression): -3486 arg_types = {"expressions": False, "on": False} -3487 +3485 +3486class Escape(Binary): +3487 pass 3488 -3489class In(Predicate): -3490 arg_types = { -3491 "this": True, -3492 "expressions": False, -3493 "query": False, -3494 "unnest": False, -3495 "field": False, -3496 "is_global": False, -3497 } -3498 -3499 -3500class TimeUnit(Expression): -3501 """Automatically converts unit arg into a var.""" -3502 -3503 arg_types = {"unit": False} +3489 +3490class Glob(Binary, Predicate): +3491 pass +3492 +3493 +3494class GT(Binary, Predicate): +3495 pass +3496 +3497 +3498class GTE(Binary, Predicate): +3499 pass +3500 +3501 +3502class ILike(Binary, Predicate): +3503 pass 3504 -3505 def __init__(self, **args): -3506 unit = args.get("unit") -3507 if isinstance(unit, (Column, Literal)): -3508 args["unit"] = Var(this=unit.name) -3509 elif isinstance(unit, Week): -3510 unit.set("this", Var(this=unit.this.name)) -3511 super().__init__(**args) +3505 +3506class ILikeAny(Binary, Predicate): +3507 pass +3508 +3509 +3510class IntDiv(Binary): +3511 pass 3512 3513 -3514class Interval(TimeUnit): -3515 arg_types = {"this": False, "unit": False} +3514class Is(Binary, Predicate): +3515 pass 3516 -3517 @property -3518 def unit(self) -> t.Optional[Var]: -3519 return self.args.get("unit") +3517 +3518class Kwarg(Binary): +3519 """Kwarg in special functions like func(kwarg => y).""" 3520 3521 -3522class IgnoreNulls(Expression): +3522class Like(Binary, Predicate): 3523 pass 3524 3525 -3526class RespectNulls(Expression): +3526class LikeAny(Binary, Predicate): 3527 pass 3528 3529 -3530# Functions -3531class Func(Condition): -3532 """ -3533 The base class for all function expressions. -3534 -3535 Attributes: -3536 is_var_len_args (bool): if set to True the last argument defined in arg_types will be -3537 treated as a variable length argument and the argument's value will be stored as a list. -3538 _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items) -3539 for this function expression. These values are used to map this node to a name during parsing -3540 as well as to provide the function's name during SQL string generation. By default the SQL -3541 name is set to the expression's class name transformed to snake case. -3542 """ -3543 -3544 is_var_len_args = False +3530class LT(Binary, Predicate): +3531 pass +3532 +3533 +3534class LTE(Binary, Predicate): +3535 pass +3536 +3537 +3538class Mod(Binary): +3539 pass +3540 +3541 +3542class Mul(Binary): +3543 pass +3544 3545 -3546 @classmethod -3547 def from_arg_list(cls, args): -3548 if cls.is_var_len_args: -3549 all_arg_keys = list(cls.arg_types) -3550 # If this function supports variable length argument treat the last argument as such. -3551 non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys -3552 num_non_var = len(non_var_len_arg_keys) +3546class NEQ(Binary, Predicate): +3547 pass +3548 +3549 +3550class SimilarTo(Binary, Predicate): +3551 pass +3552 3553 -3554 args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)} -3555 args_dict[all_arg_keys[-1]] = args[num_non_var:] -3556 else: -3557 args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)} -3558 -3559 return cls(**args_dict) +3554class Slice(Binary): +3555 arg_types = {"this": False, "expression": False} +3556 +3557 +3558class Sub(Binary): +3559 pass 3560 -3561 @classmethod -3562 def sql_names(cls): -3563 if cls is Func: -3564 raise NotImplementedError( -3565 "SQL name is only supported by concrete function implementations" -3566 ) -3567 if "_sql_names" not in cls.__dict__: -3568 cls._sql_names = [camel_to_snake_case(cls.__name__)] -3569 return cls._sql_names +3561 +3562class ArrayOverlaps(Binary): +3563 pass +3564 +3565 +3566# Unary Expressions +3567# (NOT a) +3568class Unary(Condition): +3569 pass 3570 -3571 @classmethod -3572 def sql_name(cls): -3573 return cls.sql_names()[0] +3571 +3572class BitwiseNot(Unary): +3573 pass 3574 -3575 @classmethod -3576 def default_parser_mappings(cls): -3577 return {name: cls.from_arg_list for name in cls.sql_names()} +3575 +3576class Not(Unary): +3577 pass 3578 3579 -3580class AggFunc(Func): -3581 pass +3580class Paren(Unary): +3581 arg_types = {"this": True, "with": False} 3582 3583 -3584class ParameterizedAgg(AggFunc): -3585 arg_types = {"this": True, "expressions": True, "params": True} +3584class Neg(Unary): +3585 pass 3586 3587 -3588class Abs(Func): -3589 pass +3588class Alias(Expression): +3589 arg_types = {"this": True, "alias": False} 3590 -3591 -3592class Anonymous(Func): -3593 arg_types = {"this": True, "expressions": False} -3594 is_var_len_args = True +3591 @property +3592 def output_name(self) -> str: +3593 return self.alias +3594 3595 -3596 -3597# https://docs.snowflake.com/en/sql-reference/functions/hll -3598# https://docs.aws.amazon.com/redshift/latest/dg/r_HLL_function.html -3599class Hll(AggFunc): -3600 arg_types = {"this": True, "expressions": False} -3601 is_var_len_args = True +3596class Aliases(Expression): +3597 arg_types = {"this": True, "expressions": True} +3598 +3599 @property +3600 def aliases(self): +3601 return self.expressions 3602 3603 -3604class ApproxDistinct(AggFunc): -3605 arg_types = {"this": True, "accuracy": False} -3606 _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"] +3604class AtTimeZone(Expression): +3605 arg_types = {"this": True, "zone": True} +3606 3607 -3608 -3609class Array(Func): -3610 arg_types = {"expressions": False} -3611 is_var_len_args = True -3612 -3613 -3614# https://docs.snowflake.com/en/sql-reference/functions/to_char -3615class ToChar(Func): -3616 arg_types = {"this": True, "format": False} -3617 +3608class Between(Predicate): +3609 arg_types = {"this": True, "low": True, "high": True} +3610 +3611 +3612class Bracket(Condition): +3613 arg_types = {"this": True, "expressions": True} +3614 +3615 +3616class Distinct(Expression): +3617 arg_types = {"expressions": False, "on": False} 3618 -3619class GenerateSeries(Func): -3620 arg_types = {"start": True, "end": True, "step": False} -3621 -3622 -3623class ArrayAgg(AggFunc): -3624 pass -3625 -3626 -3627class ArrayAll(Func): -3628 arg_types = {"this": True, "expression": True} +3619 +3620class In(Predicate): +3621 arg_types = { +3622 "this": True, +3623 "expressions": False, +3624 "query": False, +3625 "unnest": False, +3626 "field": False, +3627 "is_global": False, +3628 } 3629 3630 -3631class ArrayAny(Func): -3632 arg_types = {"this": True, "expression": True} +3631class TimeUnit(Expression): +3632 """Automatically converts unit arg into a var.""" 3633 -3634 -3635class ArrayConcat(Func): -3636 arg_types = {"this": True, "expressions": False} -3637 is_var_len_args = True -3638 -3639 -3640class ArrayContains(Binary, Func): -3641 pass +3634 arg_types = {"unit": False} +3635 +3636 def __init__(self, **args): +3637 unit = args.get("unit") +3638 if isinstance(unit, (Column, Literal)): +3639 args["unit"] = Var(this=unit.name) +3640 elif isinstance(unit, Week): +3641 unit.set("this", Var(this=unit.this.name)) 3642 -3643 -3644class ArrayContained(Binary): -3645 pass -3646 -3647 -3648class ArrayFilter(Func): -3649 arg_types = {"this": True, "expression": True} -3650 _sql_names = ["FILTER", "ARRAY_FILTER"] -3651 +3643 super().__init__(**args) +3644 +3645 +3646class Interval(TimeUnit): +3647 arg_types = {"this": False, "unit": False} +3648 +3649 @property +3650 def unit(self) -> t.Optional[Var]: +3651 return self.args.get("unit") 3652 -3653class ArrayJoin(Func): -3654 arg_types = {"this": True, "expression": True, "null": False} -3655 +3653 +3654class IgnoreNulls(Expression): +3655 pass 3656 -3657class ArraySize(Func): -3658 arg_types = {"this": True, "expression": False} -3659 +3657 +3658class RespectNulls(Expression): +3659 pass 3660 -3661class ArraySort(Func): -3662 arg_types = {"this": True, "expression": False} -3663 -3664 -3665class ArraySum(Func): -3666 pass -3667 -3668 -3669class ArrayUnionAgg(AggFunc): -3670 pass -3671 -3672 -3673class Avg(AggFunc): -3674 pass +3661 +3662# Functions +3663class Func(Condition): +3664 """ +3665 The base class for all function expressions. +3666 +3667 Attributes: +3668 is_var_len_args (bool): if set to True the last argument defined in arg_types will be +3669 treated as a variable length argument and the argument's value will be stored as a list. +3670 _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items) +3671 for this function expression. These values are used to map this node to a name during parsing +3672 as well as to provide the function's name during SQL string generation. By default the SQL +3673 name is set to the expression's class name transformed to snake case. +3674 """ 3675 -3676 -3677class AnyValue(AggFunc): -3678 pass -3679 -3680 -3681class Case(Func): -3682 arg_types = {"this": False, "ifs": True, "default": False} -3683 -3684 def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case: -3685 instance = _maybe_copy(self, copy) -3686 instance.append( -3687 "ifs", -3688 If( -3689 this=maybe_parse(condition, copy=copy, **opts), -3690 true=maybe_parse(then, copy=copy, **opts), -3691 ), -3692 ) -3693 return instance -3694 -3695 def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case: -3696 instance = _maybe_copy(self, copy) -3697 instance.set("default", maybe_parse(condition, copy=copy, **opts)) -3698 return instance -3699 -3700 -3701class Cast(Func): -3702 arg_types = {"this": True, "to": True} -3703 -3704 @property -3705 def name(self) -> str: -3706 return self.this.name -3707 -3708 @property -3709 def to(self): -3710 return self.args["to"] +3676 is_var_len_args = False +3677 +3678 @classmethod +3679 def from_arg_list(cls, args): +3680 if cls.is_var_len_args: +3681 all_arg_keys = list(cls.arg_types) +3682 # If this function supports variable length argument treat the last argument as such. +3683 non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys +3684 num_non_var = len(non_var_len_arg_keys) +3685 +3686 args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)} +3687 args_dict[all_arg_keys[-1]] = args[num_non_var:] +3688 else: +3689 args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)} +3690 +3691 return cls(**args_dict) +3692 +3693 @classmethod +3694 def sql_names(cls): +3695 if cls is Func: +3696 raise NotImplementedError( +3697 "SQL name is only supported by concrete function implementations" +3698 ) +3699 if "_sql_names" not in cls.__dict__: +3700 cls._sql_names = [camel_to_snake_case(cls.__name__)] +3701 return cls._sql_names +3702 +3703 @classmethod +3704 def sql_name(cls): +3705 return cls.sql_names()[0] +3706 +3707 @classmethod +3708 def default_parser_mappings(cls): +3709 return {name: cls.from_arg_list for name in cls.sql_names()} +3710 3711 -3712 @property -3713 def output_name(self): -3714 return self.name +3712class AggFunc(Func): +3713 pass +3714 3715 -3716 def is_type(self, dtype: DataType.Type) -> bool: -3717 return self.to.is_type(dtype) +3716class ParameterizedAgg(AggFunc): +3717 arg_types = {"this": True, "expressions": True, "params": True} 3718 3719 -3720class CastToStrType(Func): -3721 arg_types = {"this": True, "expression": True} +3720class Abs(Func): +3721 pass 3722 3723 -3724class Collate(Binary): -3725 pass -3726 +3724class Anonymous(Func): +3725 arg_types = {"this": True, "expressions": False} +3726 is_var_len_args = True 3727 -3728class TryCast(Cast): -3729 pass -3730 -3731 -3732class Ceil(Func): -3733 arg_types = {"this": True, "decimals": False} -3734 _sql_names = ["CEIL", "CEILING"] +3728 +3729# https://docs.snowflake.com/en/sql-reference/functions/hll +3730# https://docs.aws.amazon.com/redshift/latest/dg/r_HLL_function.html +3731class Hll(AggFunc): +3732 arg_types = {"this": True, "expressions": False} +3733 is_var_len_args = True +3734 3735 -3736 -3737class Coalesce(Func): -3738 arg_types = {"this": True, "expressions": False} -3739 is_var_len_args = True +3736class ApproxDistinct(AggFunc): +3737 arg_types = {"this": True, "accuracy": False} +3738 _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"] +3739 3740 -3741 -3742class Concat(Func): -3743 arg_types = {"expressions": True} -3744 is_var_len_args = True +3741class Array(Func): +3742 arg_types = {"expressions": False} +3743 is_var_len_args = True +3744 3745 -3746 -3747class ConcatWs(Concat): -3748 _sql_names = ["CONCAT_WS"] +3746# https://docs.snowflake.com/en/sql-reference/functions/to_char +3747class ToChar(Func): +3748 arg_types = {"this": True, "format": False} 3749 3750 -3751class Count(AggFunc): -3752 arg_types = {"this": False} +3751class GenerateSeries(Func): +3752 arg_types = {"start": True, "end": True, "step": False} 3753 3754 -3755class CountIf(AggFunc): +3755class ArrayAgg(AggFunc): 3756 pass 3757 3758 -3759class CurrentDate(Func): -3760 arg_types = {"this": False} +3759class ArrayAll(Func): +3760 arg_types = {"this": True, "expression": True} 3761 3762 -3763class CurrentDatetime(Func): -3764 arg_types = {"this": False} +3763class ArrayAny(Func): +3764 arg_types = {"this": True, "expression": True} 3765 3766 -3767class CurrentTime(Func): -3768 arg_types = {"this": False} -3769 +3767class ArrayConcat(Func): +3768 arg_types = {"this": True, "expressions": False} +3769 is_var_len_args = True 3770 -3771class CurrentTimestamp(Func): -3772 arg_types = {"this": False} -3773 +3771 +3772class ArrayContains(Binary, Func): +3773 pass 3774 -3775class CurrentUser(Func): -3776 arg_types = {"this": False} -3777 +3775 +3776class ArrayContained(Binary): +3777 pass 3778 -3779class DateAdd(Func, TimeUnit): -3780 arg_types = {"this": True, "expression": True, "unit": False} -3781 -3782 -3783class DateSub(Func, TimeUnit): -3784 arg_types = {"this": True, "expression": True, "unit": False} -3785 -3786 -3787class DateDiff(Func, TimeUnit): -3788 _sql_names = ["DATEDIFF", "DATE_DIFF"] -3789 arg_types = {"this": True, "expression": True, "unit": False} -3790 +3779 +3780class ArrayFilter(Func): +3781 arg_types = {"this": True, "expression": True} +3782 _sql_names = ["FILTER", "ARRAY_FILTER"] +3783 +3784 +3785class ArrayJoin(Func): +3786 arg_types = {"this": True, "expression": True, "null": False} +3787 +3788 +3789class ArraySize(Func): +3790 arg_types = {"this": True, "expression": False} 3791 -3792class DateTrunc(Func): -3793 arg_types = {"unit": True, "this": True, "zone": False} -3794 +3792 +3793class ArraySort(Func): +3794 arg_types = {"this": True, "expression": False} 3795 -3796class DatetimeAdd(Func, TimeUnit): -3797 arg_types = {"this": True, "expression": True, "unit": False} -3798 +3796 +3797class ArraySum(Func): +3798 pass 3799 -3800class DatetimeSub(Func, TimeUnit): -3801 arg_types = {"this": True, "expression": True, "unit": False} -3802 +3800 +3801class ArrayUnionAgg(AggFunc): +3802 pass 3803 -3804class DatetimeDiff(Func, TimeUnit): -3805 arg_types = {"this": True, "expression": True, "unit": False} -3806 +3804 +3805class Avg(AggFunc): +3806 pass 3807 -3808class DatetimeTrunc(Func, TimeUnit): -3809 arg_types = {"this": True, "unit": True, "zone": False} -3810 +3808 +3809class AnyValue(AggFunc): +3810 pass 3811 -3812class DayOfWeek(Func): -3813 _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"] -3814 +3812 +3813class Case(Func): +3814 arg_types = {"this": False, "ifs": True, "default": False} 3815 -3816class DayOfMonth(Func): -3817 _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"] -3818 -3819 -3820class DayOfYear(Func): -3821 _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"] -3822 -3823 -3824class WeekOfYear(Func): -3825 _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"] +3816 def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case: +3817 instance = _maybe_copy(self, copy) +3818 instance.append( +3819 "ifs", +3820 If( +3821 this=maybe_parse(condition, copy=copy, **opts), +3822 true=maybe_parse(then, copy=copy, **opts), +3823 ), +3824 ) +3825 return instance 3826 -3827 -3828class LastDateOfMonth(Func): -3829 pass -3830 +3827 def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case: +3828 instance = _maybe_copy(self, copy) +3829 instance.set("default", maybe_parse(condition, copy=copy, **opts)) +3830 return instance 3831 -3832class Extract(Func): -3833 arg_types = {"this": True, "expression": True} -3834 +3832 +3833class Cast(Func): +3834 arg_types = {"this": True, "to": True} 3835 -3836class TimestampAdd(Func, TimeUnit): -3837 arg_types = {"this": True, "expression": True, "unit": False} -3838 +3836 @property +3837 def name(self) -> str: +3838 return self.this.name 3839 -3840class TimestampSub(Func, TimeUnit): -3841 arg_types = {"this": True, "expression": True, "unit": False} -3842 +3840 @property +3841 def to(self) -> DataType: +3842 return self.args["to"] 3843 -3844class TimestampDiff(Func, TimeUnit): -3845 arg_types = {"this": True, "expression": True, "unit": False} -3846 +3844 @property +3845 def output_name(self) -> str: +3846 return self.name 3847 -3848class TimestampTrunc(Func, TimeUnit): -3849 arg_types = {"this": True, "unit": True, "zone": False} +3848 def is_type(self, dtype: DataType.Type) -> bool: +3849 return self.to.is_type(dtype) 3850 3851 -3852class TimeAdd(Func, TimeUnit): -3853 arg_types = {"this": True, "expression": True, "unit": False} +3852class CastToStrType(Func): +3853 arg_types = {"this": True, "expression": True} 3854 3855 -3856class TimeSub(Func, TimeUnit): -3857 arg_types = {"this": True, "expression": True, "unit": False} +3856class Collate(Binary): +3857 pass 3858 3859 -3860class TimeDiff(Func, TimeUnit): -3861 arg_types = {"this": True, "expression": True, "unit": False} +3860class TryCast(Cast): +3861 pass 3862 3863 -3864class TimeTrunc(Func, TimeUnit): -3865 arg_types = {"this": True, "unit": True, "zone": False} -3866 +3864class Ceil(Func): +3865 arg_types = {"this": True, "decimals": False} +3866 _sql_names = ["CEIL", "CEILING"] 3867 -3868class DateFromParts(Func): -3869 _sql_names = ["DATEFROMPARTS"] -3870 arg_types = {"year": True, "month": True, "day": True} -3871 +3868 +3869class Coalesce(Func): +3870 arg_types = {"this": True, "expressions": False} +3871 is_var_len_args = True 3872 -3873class DateStrToDate(Func): -3874 pass -3875 -3876 -3877class DateToDateStr(Func): -3878 pass -3879 -3880 -3881class DateToDi(Func): -3882 pass -3883 -3884 -3885class Day(Func): -3886 pass -3887 -3888 -3889class Decode(Func): -3890 arg_types = {"this": True, "charset": True, "replace": False} -3891 -3892 -3893class DiToDate(Func): -3894 pass -3895 -3896 -3897class Encode(Func): -3898 arg_types = {"this": True, "charset": True} -3899 -3900 -3901class Exp(Func): -3902 pass -3903 -3904 -3905class Explode(Func): -3906 pass -3907 -3908 -3909class Floor(Func): -3910 arg_types = {"this": True, "decimals": False} -3911 -3912 -3913class FromBase64(Func): -3914 pass -3915 -3916 -3917class ToBase64(Func): -3918 pass -3919 -3920 -3921class Greatest(Func): -3922 arg_types = {"this": True, "expressions": False} -3923 is_var_len_args = True -3924 -3925 -3926class GroupConcat(Func): -3927 arg_types = {"this": True, "separator": False} -3928 -3929 -3930class Hex(Func): -3931 pass -3932 -3933 -3934class If(Func): -3935 arg_types = {"this": True, "true": True, "false": False} -3936 -3937 -3938class IfNull(Func): -3939 arg_types = {"this": True, "expression": False} -3940 _sql_names = ["IFNULL", "NVL"] -3941 +3873 +3874class Concat(Func): +3875 arg_types = {"expressions": True} +3876 is_var_len_args = True +3877 +3878 +3879class ConcatWs(Concat): +3880 _sql_names = ["CONCAT_WS"] +3881 +3882 +3883class Count(AggFunc): +3884 arg_types = {"this": False} +3885 +3886 +3887class CountIf(AggFunc): +3888 pass +3889 +3890 +3891class CurrentDate(Func): +3892 arg_types = {"this": False} +3893 +3894 +3895class CurrentDatetime(Func): +3896 arg_types = {"this": False} +3897 +3898 +3899class CurrentTime(Func): +3900 arg_types = {"this": False} +3901 +3902 +3903class CurrentTimestamp(Func): +3904 arg_types = {"this": False} +3905 +3906 +3907class CurrentUser(Func): +3908 arg_types = {"this": False} +3909 +3910 +3911class DateAdd(Func, TimeUnit): +3912 arg_types = {"this": True, "expression": True, "unit": False} +3913 +3914 +3915class DateSub(Func, TimeUnit): +3916 arg_types = {"this": True, "expression": True, "unit": False} +3917 +3918 +3919class DateDiff(Func, TimeUnit): +3920 _sql_names = ["DATEDIFF", "DATE_DIFF"] +3921 arg_types = {"this": True, "expression": True, "unit": False} +3922 +3923 +3924class DateTrunc(Func): +3925 arg_types = {"unit": True, "this": True, "zone": False} +3926 +3927 +3928class DatetimeAdd(Func, TimeUnit): +3929 arg_types = {"this": True, "expression": True, "unit": False} +3930 +3931 +3932class DatetimeSub(Func, TimeUnit): +3933 arg_types = {"this": True, "expression": True, "unit": False} +3934 +3935 +3936class DatetimeDiff(Func, TimeUnit): +3937 arg_types = {"this": True, "expression": True, "unit": False} +3938 +3939 +3940class DatetimeTrunc(Func, TimeUnit): +3941 arg_types = {"this": True, "unit": True, "zone": False} 3942 -3943class Initcap(Func): -3944 arg_types = {"this": True, "expression": False} -3945 +3943 +3944class DayOfWeek(Func): +3945 _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"] 3946 -3947class JSONKeyValue(Expression): -3948 arg_types = {"this": True, "expression": True} -3949 +3947 +3948class DayOfMonth(Func): +3949 _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"] 3950 -3951class JSONObject(Func): -3952 arg_types = { -3953 "expressions": False, -3954 "null_handling": False, -3955 "unique_keys": False, -3956 "return_type": False, -3957 "format_json": False, -3958 "encoding": False, -3959 } -3960 -3961 -3962class OpenJSONColumnDef(Expression): -3963 arg_types = {"this": True, "kind": True, "path": False, "as_json": False} -3964 -3965 -3966class OpenJSON(Func): -3967 arg_types = {"this": True, "path": False, "expressions": False} -3968 -3969 -3970class JSONBContains(Binary): -3971 _sql_names = ["JSONB_CONTAINS"] -3972 -3973 -3974class JSONExtract(Binary, Func): -3975 _sql_names = ["JSON_EXTRACT"] -3976 -3977 -3978class JSONExtractScalar(JSONExtract): -3979 _sql_names = ["JSON_EXTRACT_SCALAR"] -3980 -3981 -3982class JSONBExtract(JSONExtract): -3983 _sql_names = ["JSONB_EXTRACT"] -3984 -3985 -3986class JSONBExtractScalar(JSONExtract): -3987 _sql_names = ["JSONB_EXTRACT_SCALAR"] -3988 -3989 -3990class JSONFormat(Func): -3991 arg_types = {"this": False, "options": False} -3992 _sql_names = ["JSON_FORMAT"] -3993 +3951 +3952class DayOfYear(Func): +3953 _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"] +3954 +3955 +3956class WeekOfYear(Func): +3957 _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"] +3958 +3959 +3960class LastDateOfMonth(Func): +3961 pass +3962 +3963 +3964class Extract(Func): +3965 arg_types = {"this": True, "expression": True} +3966 +3967 +3968class TimestampAdd(Func, TimeUnit): +3969 arg_types = {"this": True, "expression": True, "unit": False} +3970 +3971 +3972class TimestampSub(Func, TimeUnit): +3973 arg_types = {"this": True, "expression": True, "unit": False} +3974 +3975 +3976class TimestampDiff(Func, TimeUnit): +3977 arg_types = {"this": True, "expression": True, "unit": False} +3978 +3979 +3980class TimestampTrunc(Func, TimeUnit): +3981 arg_types = {"this": True, "unit": True, "zone": False} +3982 +3983 +3984class TimeAdd(Func, TimeUnit): +3985 arg_types = {"this": True, "expression": True, "unit": False} +3986 +3987 +3988class TimeSub(Func, TimeUnit): +3989 arg_types = {"this": True, "expression": True, "unit": False} +3990 +3991 +3992class TimeDiff(Func, TimeUnit): +3993 arg_types = {"this": True, "expression": True, "unit": False} 3994 -3995class Least(Func): -3996 arg_types = {"expressions": False} -3997 is_var_len_args = True +3995 +3996class TimeTrunc(Func, TimeUnit): +3997 arg_types = {"this": True, "unit": True, "zone": False} 3998 3999 -4000class Length(Func): -4001 pass -4002 +4000class DateFromParts(Func): +4001 _sql_names = ["DATEFROMPARTS"] +4002 arg_types = {"year": True, "month": True, "day": True} 4003 -4004class Levenshtein(Func): -4005 arg_types = { -4006 "this": True, -4007 "expression": False, -4008 "ins_cost": False, -4009 "del_cost": False, -4010 "sub_cost": False, -4011 } +4004 +4005class DateStrToDate(Func): +4006 pass +4007 +4008 +4009class DateToDateStr(Func): +4010 pass +4011 4012 -4013 -4014class Ln(Func): -4015 pass +4013class DateToDi(Func): +4014 pass +4015 4016 -4017 -4018class Log(Func): -4019 arg_types = {"this": True, "expression": False} +4017class Day(Func): +4018 pass +4019 4020 -4021 -4022class Log2(Func): -4023 pass +4021class Decode(Func): +4022 arg_types = {"this": True, "charset": True, "replace": False} +4023 4024 -4025 -4026class Log10(Func): -4027 pass +4025class DiToDate(Func): +4026 pass +4027 4028 -4029 -4030class LogicalOr(AggFunc): -4031 _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"] +4029class Encode(Func): +4030 arg_types = {"this": True, "charset": True} +4031 4032 -4033 -4034class LogicalAnd(AggFunc): -4035 _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"] +4033class Exp(Func): +4034 pass +4035 4036 -4037 -4038class Lower(Func): -4039 _sql_names = ["LOWER", "LCASE"] +4037class Explode(Func): +4038 pass +4039 4040 -4041 -4042class Map(Func): -4043 arg_types = {"keys": False, "values": False} +4041class Floor(Func): +4042 arg_types = {"this": True, "decimals": False} +4043 4044 -4045 -4046class StarMap(Func): -4047 pass +4045class FromBase64(Func): +4046 pass +4047 4048 -4049 -4050class VarMap(Func): -4051 arg_types = {"keys": True, "values": True} -4052 is_var_len_args = True -4053 -4054 -4055# https://dev.mysql.com/doc/refman/8.0/en/fulltext-search.html -4056class MatchAgainst(Func): -4057 arg_types = {"this": True, "expressions": True, "modifier": False} -4058 -4059 -4060class Max(AggFunc): -4061 arg_types = {"this": True, "expressions": False} -4062 is_var_len_args = True -4063 +4049class ToBase64(Func): +4050 pass +4051 +4052 +4053class Greatest(Func): +4054 arg_types = {"this": True, "expressions": False} +4055 is_var_len_args = True +4056 +4057 +4058class GroupConcat(Func): +4059 arg_types = {"this": True, "separator": False} +4060 +4061 +4062class Hex(Func): +4063 pass 4064 -4065class MD5(Func): -4066 _sql_names = ["MD5"] -4067 +4065 +4066class If(Func): +4067 arg_types = {"this": True, "true": True, "false": False} 4068 -4069class Min(AggFunc): -4070 arg_types = {"this": True, "expressions": False} -4071 is_var_len_args = True -4072 +4069 +4070class IfNull(Func): +4071 arg_types = {"this": True, "expression": False} +4072 _sql_names = ["IFNULL", "NVL"] 4073 -4074class Month(Func): -4075 pass -4076 +4074 +4075class Initcap(Func): +4076 arg_types = {"this": True, "expression": False} 4077 -4078class Nvl2(Func): -4079 arg_types = {"this": True, "true": True, "false": False} -4080 +4078 +4079class JSONKeyValue(Expression): +4080 arg_types = {"this": True, "expression": True} 4081 -4082class Posexplode(Func): -4083 pass -4084 -4085 -4086class Pow(Binary, Func): -4087 _sql_names = ["POWER", "POW"] -4088 -4089 -4090class PercentileCont(AggFunc): -4091 arg_types = {"this": True, "expression": False} +4082 +4083class JSONObject(Func): +4084 arg_types = { +4085 "expressions": False, +4086 "null_handling": False, +4087 "unique_keys": False, +4088 "return_type": False, +4089 "format_json": False, +4090 "encoding": False, +4091 } 4092 4093 -4094class PercentileDisc(AggFunc): -4095 arg_types = {"this": True, "expression": False} +4094class OpenJSONColumnDef(Expression): +4095 arg_types = {"this": True, "kind": True, "path": False, "as_json": False} 4096 4097 -4098class Quantile(AggFunc): -4099 arg_types = {"this": True, "quantile": True} +4098class OpenJSON(Func): +4099 arg_types = {"this": True, "path": False, "expressions": False} 4100 4101 -4102class ApproxQuantile(Quantile): -4103 arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False} +4102class JSONBContains(Binary): +4103 _sql_names = ["JSONB_CONTAINS"] 4104 4105 -4106class RangeN(Func): -4107 arg_types = {"this": True, "expressions": True, "each": False} +4106class JSONExtract(Binary, Func): +4107 _sql_names = ["JSON_EXTRACT"] 4108 4109 -4110class ReadCSV(Func): -4111 _sql_names = ["READ_CSV"] -4112 is_var_len_args = True -4113 arg_types = {"this": True, "expressions": False} -4114 -4115 -4116class Reduce(Func): -4117 arg_types = {"this": True, "initial": True, "merge": True, "finish": False} -4118 -4119 -4120class RegexpExtract(Func): -4121 arg_types = { -4122 "this": True, -4123 "expression": True, -4124 "position": False, -4125 "occurrence": False, -4126 "group": False, -4127 } -4128 -4129 -4130class RegexpLike(Func): -4131 arg_types = {"this": True, "expression": True, "flag": False} -4132 -4133 -4134class RegexpILike(Func): -4135 arg_types = {"this": True, "expression": True, "flag": False} -4136 -4137 -4138# https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.split.html -4139# limit is the number of times a pattern is applied -4140class RegexpSplit(Func): -4141 arg_types = {"this": True, "expression": True, "limit": False} -4142 -4143 -4144class Repeat(Func): -4145 arg_types = {"this": True, "times": True} -4146 -4147 -4148class Round(Func): -4149 arg_types = {"this": True, "decimals": False} -4150 -4151 -4152class RowNumber(Func): -4153 arg_types: t.Dict[str, t.Any] = {} -4154 -4155 -4156class SafeDivide(Func): -4157 arg_types = {"this": True, "expression": True} -4158 -4159 -4160class SetAgg(AggFunc): -4161 pass -4162 -4163 -4164class SHA(Func): -4165 _sql_names = ["SHA", "SHA1"] -4166 -4167 -4168class SHA2(Func): -4169 _sql_names = ["SHA2"] -4170 arg_types = {"this": True, "length": False} -4171 +4110class JSONExtractScalar(JSONExtract): +4111 _sql_names = ["JSON_EXTRACT_SCALAR"] +4112 +4113 +4114class JSONBExtract(JSONExtract): +4115 _sql_names = ["JSONB_EXTRACT"] +4116 +4117 +4118class JSONBExtractScalar(JSONExtract): +4119 _sql_names = ["JSONB_EXTRACT_SCALAR"] +4120 +4121 +4122class JSONFormat(Func): +4123 arg_types = {"this": False, "options": False} +4124 _sql_names = ["JSON_FORMAT"] +4125 +4126 +4127class Least(Func): +4128 arg_types = {"expressions": False} +4129 is_var_len_args = True +4130 +4131 +4132class Length(Func): +4133 pass +4134 +4135 +4136class Levenshtein(Func): +4137 arg_types = { +4138 "this": True, +4139 "expression": False, +4140 "ins_cost": False, +4141 "del_cost": False, +4142 "sub_cost": False, +4143 } +4144 +4145 +4146class Ln(Func): +4147 pass +4148 +4149 +4150class Log(Func): +4151 arg_types = {"this": True, "expression": False} +4152 +4153 +4154class Log2(Func): +4155 pass +4156 +4157 +4158class Log10(Func): +4159 pass +4160 +4161 +4162class LogicalOr(AggFunc): +4163 _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"] +4164 +4165 +4166class LogicalAnd(AggFunc): +4167 _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"] +4168 +4169 +4170class Lower(Func): +4171 _sql_names = ["LOWER", "LCASE"] 4172 -4173class SortArray(Func): -4174 arg_types = {"this": True, "asc": False} -4175 +4173 +4174class Map(Func): +4175 arg_types = {"keys": False, "values": False} 4176 -4177class Split(Func): -4178 arg_types = {"this": True, "expression": True, "limit": False} -4179 +4177 +4178class StarMap(Func): +4179 pass 4180 -4181# Start may be omitted in the case of postgres -4182# https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 -4183class Substring(Func): -4184 arg_types = {"this": True, "start": False, "length": False} +4181 +4182class VarMap(Func): +4183 arg_types = {"keys": True, "values": True} +4184 is_var_len_args = True 4185 4186 -4187class StandardHash(Func): -4188 arg_types = {"this": True, "expression": False} -4189 +4187# https://dev.mysql.com/doc/refman/8.0/en/fulltext-search.html +4188class MatchAgainst(Func): +4189 arg_types = {"this": True, "expressions": True, "modifier": False} 4190 -4191class StrPosition(Func): -4192 arg_types = { -4193 "this": True, -4194 "substr": True, -4195 "position": False, -4196 "instance": False, -4197 } -4198 +4191 +4192class Max(AggFunc): +4193 arg_types = {"this": True, "expressions": False} +4194 is_var_len_args = True +4195 +4196 +4197class MD5(Func): +4198 _sql_names = ["MD5"] 4199 -4200class StrToDate(Func): -4201 arg_types = {"this": True, "format": True} -4202 -4203 -4204class StrToTime(Func): -4205 arg_types = {"this": True, "format": True} -4206 -4207 -4208# Spark allows unix_timestamp() -4209# https://spark.apache.org/docs/3.1.3/api/python/reference/api/pyspark.sql.functions.unix_timestamp.html -4210class StrToUnix(Func): -4211 arg_types = {"this": False, "format": False} +4200 +4201class Min(AggFunc): +4202 arg_types = {"this": True, "expressions": False} +4203 is_var_len_args = True +4204 +4205 +4206class Month(Func): +4207 pass +4208 +4209 +4210class Nvl2(Func): +4211 arg_types = {"this": True, "true": True, "false": False} 4212 4213 -4214class NumberToStr(Func): -4215 arg_types = {"this": True, "format": True} +4214class Posexplode(Func): +4215 pass 4216 4217 -4218class Struct(Func): -4219 arg_types = {"expressions": True} -4220 is_var_len_args = True +4218class Pow(Binary, Func): +4219 _sql_names = ["POWER", "POW"] +4220 4221 -4222 -4223class StructExtract(Func): -4224 arg_types = {"this": True, "expression": True} +4222class PercentileCont(AggFunc): +4223 arg_types = {"this": True, "expression": False} +4224 4225 -4226 -4227class Sum(AggFunc): -4228 pass +4226class PercentileDisc(AggFunc): +4227 arg_types = {"this": True, "expression": False} +4228 4229 -4230 -4231class Sqrt(Func): -4232 pass +4230class Quantile(AggFunc): +4231 arg_types = {"this": True, "quantile": True} +4232 4233 -4234 -4235class Stddev(AggFunc): -4236 pass +4234class ApproxQuantile(Quantile): +4235 arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False} +4236 4237 -4238 -4239class StddevPop(AggFunc): -4240 pass +4238class RangeN(Func): +4239 arg_types = {"this": True, "expressions": True, "each": False} +4240 4241 -4242 -4243class StddevSamp(AggFunc): -4244 pass -4245 +4242class ReadCSV(Func): +4243 _sql_names = ["READ_CSV"] +4244 is_var_len_args = True +4245 arg_types = {"this": True, "expressions": False} 4246 -4247class TimeToStr(Func): -4248 arg_types = {"this": True, "format": True} -4249 +4247 +4248class Reduce(Func): +4249 arg_types = {"this": True, "initial": True, "merge": True, "finish": False} 4250 -4251class TimeToTimeStr(Func): -4252 pass -4253 -4254 -4255class TimeToUnix(Func): -4256 pass -4257 -4258 -4259class TimeStrToDate(Func): -4260 pass +4251 +4252class RegexpExtract(Func): +4253 arg_types = { +4254 "this": True, +4255 "expression": True, +4256 "position": False, +4257 "occurrence": False, +4258 "group": False, +4259 } +4260 4261 -4262 -4263class TimeStrToTime(Func): -4264 pass +4262class RegexpLike(Func): +4263 arg_types = {"this": True, "expression": True, "flag": False} +4264 4265 -4266 -4267class TimeStrToUnix(Func): -4268 pass +4266class RegexpILike(Func): +4267 arg_types = {"this": True, "expression": True, "flag": False} +4268 4269 -4270 -4271class Trim(Func): -4272 arg_types = { -4273 "this": True, -4274 "expression": False, -4275 "position": False, -4276 "collation": False, -4277 } +4270# https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.split.html +4271# limit is the number of times a pattern is applied +4272class RegexpSplit(Func): +4273 arg_types = {"this": True, "expression": True, "limit": False} +4274 +4275 +4276class Repeat(Func): +4277 arg_types = {"this": True, "times": True} 4278 4279 -4280class TsOrDsAdd(Func, TimeUnit): -4281 arg_types = {"this": True, "expression": True, "unit": False} +4280class Round(Func): +4281 arg_types = {"this": True, "decimals": False} 4282 4283 -4284class TsOrDsToDateStr(Func): -4285 pass +4284class RowNumber(Func): +4285 arg_types: t.Dict[str, t.Any] = {} 4286 4287 -4288class TsOrDsToDate(Func): -4289 arg_types = {"this": True, "format": False} +4288class SafeDivide(Func): +4289 arg_types = {"this": True, "expression": True} 4290 4291 -4292class TsOrDiToDi(Func): +4292class SetAgg(AggFunc): 4293 pass 4294 4295 -4296class Unhex(Func): -4297 pass +4296class SHA(Func): +4297 _sql_names = ["SHA", "SHA1"] 4298 4299 -4300class UnixToStr(Func): -4301 arg_types = {"this": True, "format": False} -4302 +4300class SHA2(Func): +4301 _sql_names = ["SHA2"] +4302 arg_types = {"this": True, "length": False} 4303 -4304# https://prestodb.io/docs/current/functions/datetime.html -4305# presto has weird zone/hours/minutes -4306class UnixToTime(Func): -4307 arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False} +4304 +4305class SortArray(Func): +4306 arg_types = {"this": True, "asc": False} +4307 4308 -4309 SECONDS = Literal.string("seconds") -4310 MILLIS = Literal.string("millis") -4311 MICROS = Literal.string("micros") +4309class Split(Func): +4310 arg_types = {"this": True, "expression": True, "limit": False} +4311 4312 -4313 -4314class UnixToTimeStr(Func): -4315 pass -4316 +4313# Start may be omitted in the case of postgres +4314# https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 +4315class Substring(Func): +4316 arg_types = {"this": True, "start": False, "length": False} 4317 -4318class Upper(Func): -4319 _sql_names = ["UPPER", "UCASE"] -4320 +4318 +4319class StandardHash(Func): +4320 arg_types = {"this": True, "expression": False} 4321 -4322class Variance(AggFunc): -4323 _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"] -4324 -4325 -4326class VariancePop(AggFunc): -4327 _sql_names = ["VARIANCE_POP", "VAR_POP"] -4328 -4329 -4330class Week(Func): -4331 arg_types = {"this": True, "mode": False} -4332 -4333 -4334class XMLTable(Func): -4335 arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False} -4336 -4337 -4338class Year(Func): -4339 pass -4340 -4341 -4342class Use(Expression): -4343 arg_types = {"this": True, "kind": False} +4322 +4323class StrPosition(Func): +4324 arg_types = { +4325 "this": True, +4326 "substr": True, +4327 "position": False, +4328 "instance": False, +4329 } +4330 +4331 +4332class StrToDate(Func): +4333 arg_types = {"this": True, "format": True} +4334 +4335 +4336class StrToTime(Func): +4337 arg_types = {"this": True, "format": True} +4338 +4339 +4340# Spark allows unix_timestamp() +4341# https://spark.apache.org/docs/3.1.3/api/python/reference/api/pyspark.sql.functions.unix_timestamp.html +4342class StrToUnix(Func): +4343 arg_types = {"this": False, "format": False} 4344 4345 -4346class Merge(Expression): -4347 arg_types = {"this": True, "using": True, "on": True, "expressions": True} +4346class NumberToStr(Func): +4347 arg_types = {"this": True, "format": True} 4348 4349 -4350class When(Func): -4351 arg_types = {"matched": True, "source": False, "condition": False, "then": True} -4352 +4350class Struct(Func): +4351 arg_types = {"expressions": True} +4352 is_var_len_args = True 4353 -4354# https://docs.oracle.com/javadb/10.8.3.0/ref/rrefsqljnextvaluefor.html -4355# https://learn.microsoft.com/en-us/sql/t-sql/functions/next-value-for-transact-sql?view=sql-server-ver16 -4356class NextValueFor(Func): -4357 arg_types = {"this": True, "order": False} +4354 +4355class StructExtract(Func): +4356 arg_types = {"this": True, "expression": True} +4357 4358 -4359 -4360def _norm_arg(arg): -4361 return arg.lower() if type(arg) is str else arg +4359class Sum(AggFunc): +4360 pass +4361 4362 -4363 -4364ALL_FUNCTIONS = subclasses(__name__, Func, (AggFunc, Anonymous, Func)) +4363class Sqrt(Func): +4364 pass 4365 4366 -4367# Helpers -4368@t.overload -4369def maybe_parse( -4370 sql_or_expression: ExpOrStr, -4371 *, -4372 into: t.Type[E], -4373 dialect: DialectType = None, -4374 prefix: t.Optional[str] = None, -4375 copy: bool = False, -4376 **opts, -4377) -> E: -4378 ... -4379 -4380 -4381@t.overload -4382def maybe_parse( -4383 sql_or_expression: str | E, -4384 *, -4385 into: t.Optional[IntoType] = None, -4386 dialect: DialectType = None, -4387 prefix: t.Optional[str] = None, -4388 copy: bool = False, -4389 **opts, -4390) -> E: -4391 ... -4392 +4367class Stddev(AggFunc): +4368 pass +4369 +4370 +4371class StddevPop(AggFunc): +4372 pass +4373 +4374 +4375class StddevSamp(AggFunc): +4376 pass +4377 +4378 +4379class TimeToStr(Func): +4380 arg_types = {"this": True, "format": True} +4381 +4382 +4383class TimeToTimeStr(Func): +4384 pass +4385 +4386 +4387class TimeToUnix(Func): +4388 pass +4389 +4390 +4391class TimeStrToDate(Func): +4392 pass 4393 -4394def maybe_parse( -4395 sql_or_expression: ExpOrStr, -4396 *, -4397 into: t.Optional[IntoType] = None, -4398 dialect: DialectType = None, -4399 prefix: t.Optional[str] = None, -4400 copy: bool = False, -4401 **opts, -4402) -> Expression: -4403 """Gracefully handle a possible string or expression. -4404 -4405 Example: -4406 >>> maybe_parse("1") -4407 (LITERAL this: 1, is_string: False) -4408 >>> maybe_parse(to_identifier("x")) -4409 (IDENTIFIER this: x, quoted: False) +4394 +4395class TimeStrToTime(Func): +4396 pass +4397 +4398 +4399class TimeStrToUnix(Func): +4400 pass +4401 +4402 +4403class Trim(Func): +4404 arg_types = { +4405 "this": True, +4406 "expression": False, +4407 "position": False, +4408 "collation": False, +4409 } 4410 -4411 Args: -4412 sql_or_expression: the SQL code string or an expression -4413 into: the SQLGlot Expression to parse into -4414 dialect: the dialect used to parse the input expressions (in the case that an -4415 input expression is a SQL string). -4416 prefix: a string to prefix the sql with before it gets parsed -4417 (automatically includes a space) -4418 copy: whether or not to copy the expression. -4419 **opts: other options to use to parse the input expressions (again, in the case -4420 that an input expression is a SQL string). -4421 -4422 Returns: -4423 Expression: the parsed or given expression. -4424 """ -4425 if isinstance(sql_or_expression, Expression): -4426 if copy: -4427 return sql_or_expression.copy() -4428 return sql_or_expression -4429 -4430 import sqlglot +4411 +4412class TsOrDsAdd(Func, TimeUnit): +4413 arg_types = {"this": True, "expression": True, "unit": False} +4414 +4415 +4416class TsOrDsToDateStr(Func): +4417 pass +4418 +4419 +4420class TsOrDsToDate(Func): +4421 arg_types = {"this": True, "format": False} +4422 +4423 +4424class TsOrDiToDi(Func): +4425 pass +4426 +4427 +4428class Unhex(Func): +4429 pass +4430 4431 -4432 sql = str(sql_or_expression) -4433 if prefix: -4434 sql = f"{prefix} {sql}" -4435 return sqlglot.parse_one(sql, read=dialect, into=into, **opts) -4436 -4437 -4438def _maybe_copy(instance, copy=True): -4439 return instance.copy() if copy else instance +4432class UnixToStr(Func): +4433 arg_types = {"this": True, "format": False} +4434 +4435 +4436# https://prestodb.io/docs/current/functions/datetime.html +4437# presto has weird zone/hours/minutes +4438class UnixToTime(Func): +4439 arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False} 4440 -4441 -4442def _is_wrong_expression(expression, into): -4443 return isinstance(expression, Expression) and not isinstance(expression, into) +4441 SECONDS = Literal.string("seconds") +4442 MILLIS = Literal.string("millis") +4443 MICROS = Literal.string("micros") 4444 4445 -4446def _apply_builder( -4447 expression, -4448 instance, -4449 arg, -4450 copy=True, -4451 prefix=None, -4452 into=None, -4453 dialect=None, -4454 **opts, -4455): -4456 if _is_wrong_expression(expression, into): -4457 expression = into(this=expression) -4458 instance = _maybe_copy(instance, copy) -4459 expression = maybe_parse( -4460 sql_or_expression=expression, -4461 prefix=prefix, -4462 into=into, -4463 dialect=dialect, -4464 **opts, -4465 ) -4466 instance.set(arg, expression) -4467 return instance +4446class UnixToTimeStr(Func): +4447 pass +4448 +4449 +4450class Upper(Func): +4451 _sql_names = ["UPPER", "UCASE"] +4452 +4453 +4454class Variance(AggFunc): +4455 _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"] +4456 +4457 +4458class VariancePop(AggFunc): +4459 _sql_names = ["VARIANCE_POP", "VAR_POP"] +4460 +4461 +4462class Week(Func): +4463 arg_types = {"this": True, "mode": False} +4464 +4465 +4466class XMLTable(Func): +4467 arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False} 4468 4469 -4470def _apply_child_list_builder( -4471 *expressions, -4472 instance, -4473 arg, -4474 append=True, -4475 copy=True, -4476 prefix=None, -4477 into=None, -4478 dialect=None, -4479 properties=None, -4480 **opts, -4481): -4482 instance = _maybe_copy(instance, copy) -4483 parsed = [] -4484 for expression in expressions: -4485 if _is_wrong_expression(expression, into): -4486 expression = into(expressions=[expression]) -4487 expression = maybe_parse( -4488 expression, -4489 into=into, -4490 dialect=dialect, -4491 prefix=prefix, -4492 **opts, -4493 ) -4494 parsed.extend(expression.expressions) +4470class Year(Func): +4471 pass +4472 +4473 +4474class Use(Expression): +4475 arg_types = {"this": True, "kind": False} +4476 +4477 +4478class Merge(Expression): +4479 arg_types = {"this": True, "using": True, "on": True, "expressions": True} +4480 +4481 +4482class When(Func): +4483 arg_types = {"matched": True, "source": False, "condition": False, "then": True} +4484 +4485 +4486# https://docs.oracle.com/javadb/10.8.3.0/ref/rrefsqljnextvaluefor.html +4487# https://learn.microsoft.com/en-us/sql/t-sql/functions/next-value-for-transact-sql?view=sql-server-ver16 +4488class NextValueFor(Func): +4489 arg_types = {"this": True, "order": False} +4490 +4491 +4492def _norm_arg(arg): +4493 return arg.lower() if type(arg) is str else arg +4494 4495 -4496 existing = instance.args.get(arg) -4497 if append and existing: -4498 parsed = existing.expressions + parsed -4499 -4500 child = into(expressions=parsed) -4501 for k, v in (properties or {}).items(): -4502 child.set(k, v) -4503 instance.set(arg, child) -4504 return instance -4505 -4506 -4507def _apply_list_builder( -4508 *expressions, -4509 instance, -4510 arg, -4511 append=True, -4512 copy=True, -4513 prefix=None, -4514 into=None, -4515 dialect=None, -4516 **opts, -4517): -4518 inst = _maybe_copy(instance, copy) -4519 -4520 expressions = [ -4521 maybe_parse( -4522 sql_or_expression=expression, -4523 into=into, -4524 prefix=prefix, -4525 dialect=dialect, -4526 **opts, -4527 ) -4528 for expression in expressions -4529 ] -4530 -4531 existing_expressions = inst.args.get(arg) -4532 if append and existing_expressions: -4533 expressions = existing_expressions + expressions -4534 -4535 inst.set(arg, expressions) -4536 return inst -4537 -4538 -4539def _apply_conjunction_builder( -4540 *expressions, -4541 instance, -4542 arg, -4543 into=None, -4544 append=True, -4545 copy=True, -4546 dialect=None, -4547 **opts, -4548): -4549 expressions = [exp for exp in expressions if exp is not None and exp != ""] -4550 if not expressions: -4551 return instance -4552 -4553 inst = _maybe_copy(instance, copy) -4554 -4555 existing = inst.args.get(arg) -4556 if append and existing is not None: -4557 expressions = [existing.this if into else existing] + list(expressions) -4558 -4559 node = and_(*expressions, dialect=dialect, copy=copy, **opts) -4560 -4561 inst.set(arg, into(this=node) if into else node) -4562 return inst +4496ALL_FUNCTIONS = subclasses(__name__, Func, (AggFunc, Anonymous, Func)) +4497 +4498 +4499# Helpers +4500@t.overload +4501def maybe_parse( +4502 sql_or_expression: ExpOrStr, +4503 *, +4504 into: t.Type[E], +4505 dialect: DialectType = None, +4506 prefix: t.Optional[str] = None, +4507 copy: bool = False, +4508 **opts, +4509) -> E: +4510 ... +4511 +4512 +4513@t.overload +4514def maybe_parse( +4515 sql_or_expression: str | E, +4516 *, +4517 into: t.Optional[IntoType] = None, +4518 dialect: DialectType = None, +4519 prefix: t.Optional[str] = None, +4520 copy: bool = False, +4521 **opts, +4522) -> E: +4523 ... +4524 +4525 +4526def maybe_parse( +4527 sql_or_expression: ExpOrStr, +4528 *, +4529 into: t.Optional[IntoType] = None, +4530 dialect: DialectType = None, +4531 prefix: t.Optional[str] = None, +4532 copy: bool = False, +4533 **opts, +4534) -> Expression: +4535 """Gracefully handle a possible string or expression. +4536 +4537 Example: +4538 >>> maybe_parse("1") +4539 (LITERAL this: 1, is_string: False) +4540 >>> maybe_parse(to_identifier("x")) +4541 (IDENTIFIER this: x, quoted: False) +4542 +4543 Args: +4544 sql_or_expression: the SQL code string or an expression +4545 into: the SQLGlot Expression to parse into +4546 dialect: the dialect used to parse the input expressions (in the case that an +4547 input expression is a SQL string). +4548 prefix: a string to prefix the sql with before it gets parsed +4549 (automatically includes a space) +4550 copy: whether or not to copy the expression. +4551 **opts: other options to use to parse the input expressions (again, in the case +4552 that an input expression is a SQL string). +4553 +4554 Returns: +4555 Expression: the parsed or given expression. +4556 """ +4557 if isinstance(sql_or_expression, Expression): +4558 if copy: +4559 return sql_or_expression.copy() +4560 return sql_or_expression +4561 +4562 import sqlglot 4563 -4564 -4565def _apply_cte_builder( -4566 instance: E, -4567 alias: ExpOrStr, -4568 as_: ExpOrStr, -4569 recursive: t.Optional[bool] = None, -4570 append: bool = True, -4571 dialect: DialectType = None, -4572 copy: bool = True, -4573 **opts, -4574) -> E: -4575 alias_expression = maybe_parse(alias, dialect=dialect, into=TableAlias, **opts) -4576 as_expression = maybe_parse(as_, dialect=dialect, **opts) -4577 cte = CTE(this=as_expression, alias=alias_expression) -4578 return _apply_child_list_builder( -4579 cte, -4580 instance=instance, -4581 arg="with", -4582 append=append, -4583 copy=copy, -4584 into=With, -4585 properties={"recursive": recursive or False}, -4586 ) -4587 -4588 -4589def _combine(expressions, operator, dialect=None, copy=True, **opts): -4590 expressions = [ -4591 condition(expression, dialect=dialect, copy=copy, **opts) for expression in expressions -4592 ] -4593 this = expressions[0] -4594 if expressions[1:]: -4595 this = _wrap(this, Connector) -4596 for expression in expressions[1:]: -4597 this = operator(this=this, expression=_wrap(expression, Connector)) -4598 return this -4599 +4564 sql = str(sql_or_expression) +4565 if prefix: +4566 sql = f"{prefix} {sql}" +4567 return sqlglot.parse_one(sql, read=dialect, into=into, **opts) +4568 +4569 +4570def _maybe_copy(instance: E, copy: bool = True) -> E: +4571 return instance.copy() if copy else instance +4572 +4573 +4574def _is_wrong_expression(expression, into): +4575 return isinstance(expression, Expression) and not isinstance(expression, into) +4576 +4577 +4578def _apply_builder( +4579 expression, +4580 instance, +4581 arg, +4582 copy=True, +4583 prefix=None, +4584 into=None, +4585 dialect=None, +4586 **opts, +4587): +4588 if _is_wrong_expression(expression, into): +4589 expression = into(this=expression) +4590 instance = _maybe_copy(instance, copy) +4591 expression = maybe_parse( +4592 sql_or_expression=expression, +4593 prefix=prefix, +4594 into=into, +4595 dialect=dialect, +4596 **opts, +4597 ) +4598 instance.set(arg, expression) +4599 return instance 4600 -4601def _wrap(expression: E, kind: t.Type[Expression]) -> E | Paren: -4602 if isinstance(expression, kind): -4603 return Paren(this=expression) -4604 return expression -4605 -4606 -4607def union(left, right, distinct=True, dialect=None, **opts): -4608 """ -4609 Initializes a syntax tree from one UNION expression. -4610 -4611 Example: -4612 >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql() -4613 'SELECT * FROM foo UNION SELECT * FROM bla' -4614 -4615 Args: -4616 left (str | Expression): the SQL code string corresponding to the left-hand side. -4617 If an `Expression` instance is passed, it will be used as-is. -4618 right (str | Expression): the SQL code string corresponding to the right-hand side. -4619 If an `Expression` instance is passed, it will be used as-is. -4620 distinct (bool): set the DISTINCT flag if and only if this is true. -4621 dialect (str): the dialect used to parse the input expression. -4622 opts (kwargs): other options to use to parse the input expressions. -4623 Returns: -4624 Union: the syntax tree for the UNION expression. -4625 """ -4626 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -4627 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -4628 -4629 return Union(this=left, expression=right, distinct=distinct) -4630 -4631 -4632def intersect(left, right, distinct=True, dialect=None, **opts): -4633 """ -4634 Initializes a syntax tree from one INTERSECT expression. -4635 -4636 Example: -4637 >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql() -4638 'SELECT * FROM foo INTERSECT SELECT * FROM bla' -4639 -4640 Args: -4641 left (str | Expression): the SQL code string corresponding to the left-hand side. -4642 If an `Expression` instance is passed, it will be used as-is. -4643 right (str | Expression): the SQL code string corresponding to the right-hand side. -4644 If an `Expression` instance is passed, it will be used as-is. -4645 distinct (bool): set the DISTINCT flag if and only if this is true. -4646 dialect (str): the dialect used to parse the input expression. -4647 opts (kwargs): other options to use to parse the input expressions. -4648 Returns: -4649 Intersect: the syntax tree for the INTERSECT expression. -4650 """ -4651 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -4652 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -4653 -4654 return Intersect(this=left, expression=right, distinct=distinct) -4655 -4656 -4657def except_(left, right, distinct=True, dialect=None, **opts): -4658 """ -4659 Initializes a syntax tree from one EXCEPT expression. -4660 -4661 Example: -4662 >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql() -4663 'SELECT * FROM foo EXCEPT SELECT * FROM bla' -4664 -4665 Args: -4666 left (str | Expression): the SQL code string corresponding to the left-hand side. -4667 If an `Expression` instance is passed, it will be used as-is. -4668 right (str | Expression): the SQL code string corresponding to the right-hand side. -4669 If an `Expression` instance is passed, it will be used as-is. -4670 distinct (bool): set the DISTINCT flag if and only if this is true. -4671 dialect (str): the dialect used to parse the input expression. -4672 opts (kwargs): other options to use to parse the input expressions. -4673 Returns: -4674 Except: the syntax tree for the EXCEPT statement. -4675 """ -4676 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -4677 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -4678 -4679 return Except(this=left, expression=right, distinct=distinct) -4680 -4681 -4682def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select: -4683 """ -4684 Initializes a syntax tree from one or multiple SELECT expressions. -4685 -4686 Example: -4687 >>> select("col1", "col2").from_("tbl").sql() -4688 'SELECT col1, col2 FROM tbl' -4689 -4690 Args: -4691 *expressions: the SQL code string to parse as the expressions of a -4692 SELECT statement. If an Expression instance is passed, this is used as-is. -4693 dialect: the dialect used to parse the input expressions (in the case that an -4694 input expression is a SQL string). -4695 **opts: other options to use to parse the input expressions (again, in the case -4696 that an input expression is a SQL string). -4697 -4698 Returns: -4699 Select: the syntax tree for the SELECT statement. -4700 """ -4701 return Select().select(*expressions, dialect=dialect, **opts) -4702 -4703 -4704def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select: -4705 """ -4706 Initializes a syntax tree from a FROM expression. -4707 -4708 Example: -4709 >>> from_("tbl").select("col1", "col2").sql() -4710 'SELECT col1, col2 FROM tbl' -4711 -4712 Args: -4713 *expression: the SQL code string to parse as the FROM expressions of a -4714 SELECT statement. If an Expression instance is passed, this is used as-is. -4715 dialect: the dialect used to parse the input expression (in the case that the -4716 input expression is a SQL string). -4717 **opts: other options to use to parse the input expressions (again, in the case -4718 that the input expression is a SQL string). -4719 -4720 Returns: -4721 Select: the syntax tree for the SELECT statement. -4722 """ -4723 return Select().from_(expression, dialect=dialect, **opts) +4601 +4602def _apply_child_list_builder( +4603 *expressions, +4604 instance, +4605 arg, +4606 append=True, +4607 copy=True, +4608 prefix=None, +4609 into=None, +4610 dialect=None, +4611 properties=None, +4612 **opts, +4613): +4614 instance = _maybe_copy(instance, copy) +4615 parsed = [] +4616 for expression in expressions: +4617 if expression is not None: +4618 if _is_wrong_expression(expression, into): +4619 expression = into(expressions=[expression]) +4620 +4621 expression = maybe_parse( +4622 expression, +4623 into=into, +4624 dialect=dialect, +4625 prefix=prefix, +4626 **opts, +4627 ) +4628 parsed.extend(expression.expressions) +4629 +4630 existing = instance.args.get(arg) +4631 if append and existing: +4632 parsed = existing.expressions + parsed +4633 +4634 child = into(expressions=parsed) +4635 for k, v in (properties or {}).items(): +4636 child.set(k, v) +4637 instance.set(arg, child) +4638 +4639 return instance +4640 +4641 +4642def _apply_list_builder( +4643 *expressions, +4644 instance, +4645 arg, +4646 append=True, +4647 copy=True, +4648 prefix=None, +4649 into=None, +4650 dialect=None, +4651 **opts, +4652): +4653 inst = _maybe_copy(instance, copy) +4654 +4655 expressions = [ +4656 maybe_parse( +4657 sql_or_expression=expression, +4658 into=into, +4659 prefix=prefix, +4660 dialect=dialect, +4661 **opts, +4662 ) +4663 for expression in expressions +4664 if expression is not None +4665 ] +4666 +4667 existing_expressions = inst.args.get(arg) +4668 if append and existing_expressions: +4669 expressions = existing_expressions + expressions +4670 +4671 inst.set(arg, expressions) +4672 return inst +4673 +4674 +4675def _apply_conjunction_builder( +4676 *expressions, +4677 instance, +4678 arg, +4679 into=None, +4680 append=True, +4681 copy=True, +4682 dialect=None, +4683 **opts, +4684): +4685 expressions = [exp for exp in expressions if exp is not None and exp != ""] +4686 if not expressions: +4687 return instance +4688 +4689 inst = _maybe_copy(instance, copy) +4690 +4691 existing = inst.args.get(arg) +4692 if append and existing is not None: +4693 expressions = [existing.this if into else existing] + list(expressions) +4694 +4695 node = and_(*expressions, dialect=dialect, copy=copy, **opts) +4696 +4697 inst.set(arg, into(this=node) if into else node) +4698 return inst +4699 +4700 +4701def _apply_cte_builder( +4702 instance: E, +4703 alias: ExpOrStr, +4704 as_: ExpOrStr, +4705 recursive: t.Optional[bool] = None, +4706 append: bool = True, +4707 dialect: DialectType = None, +4708 copy: bool = True, +4709 **opts, +4710) -> E: +4711 alias_expression = maybe_parse(alias, dialect=dialect, into=TableAlias, **opts) +4712 as_expression = maybe_parse(as_, dialect=dialect, **opts) +4713 cte = CTE(this=as_expression, alias=alias_expression) +4714 return _apply_child_list_builder( +4715 cte, +4716 instance=instance, +4717 arg="with", +4718 append=append, +4719 copy=copy, +4720 into=With, +4721 properties={"recursive": recursive or False}, +4722 ) +4723 4724 -4725 -4726def update( -4727 table: str | Table, -4728 properties: dict, -4729 where: t.Optional[ExpOrStr] = None, -4730 from_: t.Optional[ExpOrStr] = None, -4731 dialect: DialectType = None, -4732 **opts, -4733) -> Update: -4734 """ -4735 Creates an update statement. -4736 -4737 Example: -4738 >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql() -4739 "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1" -4740 -4741 Args: -4742 *properties: dictionary of properties to set which are -4743 auto converted to sql objects eg None -> NULL -4744 where: sql conditional parsed into a WHERE statement -4745 from_: sql statement parsed into a FROM statement -4746 dialect: the dialect used to parse the input expressions. -4747 **opts: other options to use to parse the input expressions. -4748 -4749 Returns: -4750 Update: the syntax tree for the UPDATE statement. -4751 """ -4752 update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect)) -4753 update_expr.set( -4754 "expressions", -4755 [ -4756 EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v)) -4757 for k, v in properties.items() -4758 ], -4759 ) -4760 if from_: -4761 update_expr.set( -4762 "from", -4763 maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts), -4764 ) -4765 if isinstance(where, Condition): -4766 where = Where(this=where) -4767 if where: -4768 update_expr.set( -4769 "where", -4770 maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), -4771 ) -4772 return update_expr -4773 -4774 -4775def delete( -4776 table: ExpOrStr, -4777 where: t.Optional[ExpOrStr] = None, -4778 returning: t.Optional[ExpOrStr] = None, -4779 dialect: DialectType = None, -4780 **opts, -4781) -> Delete: +4725def _combine( +4726 expressions: t.Sequence[t.Optional[ExpOrStr]], +4727 operator: t.Type[Connector], +4728 dialect: DialectType = None, +4729 copy: bool = True, +4730 **opts, +4731) -> Expression: +4732 conditions = [ +4733 condition(expression, dialect=dialect, copy=copy, **opts) +4734 for expression in expressions +4735 if expression is not None +4736 ] +4737 +4738 this, *rest = conditions +4739 if rest: +4740 this = _wrap(this, Connector) +4741 for expression in rest: +4742 this = operator(this=this, expression=_wrap(expression, Connector)) +4743 +4744 return this +4745 +4746 +4747def _wrap(expression: E, kind: t.Type[Expression]) -> E | Paren: +4748 return Paren(this=expression) if isinstance(expression, kind) else expression +4749 +4750 +4751def union( +4752 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts +4753) -> Union: +4754 """ +4755 Initializes a syntax tree from one UNION expression. +4756 +4757 Example: +4758 >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql() +4759 'SELECT * FROM foo UNION SELECT * FROM bla' +4760 +4761 Args: +4762 left: the SQL code string corresponding to the left-hand side. +4763 If an `Expression` instance is passed, it will be used as-is. +4764 right: the SQL code string corresponding to the right-hand side. +4765 If an `Expression` instance is passed, it will be used as-is. +4766 distinct: set the DISTINCT flag if and only if this is true. +4767 dialect: the dialect used to parse the input expression. +4768 opts: other options to use to parse the input expressions. +4769 +4770 Returns: +4771 The new Union instance. +4772 """ +4773 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4774 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +4775 +4776 return Union(this=left, expression=right, distinct=distinct) +4777 +4778 +4779def intersect( +4780 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts +4781) -> Intersect: 4782 """ -4783 Builds a delete statement. +4783 Initializes a syntax tree from one INTERSECT expression. 4784 4785 Example: -4786 >>> delete("my_table", where="id > 1").sql() -4787 'DELETE FROM my_table WHERE id > 1' +4786 >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql() +4787 'SELECT * FROM foo INTERSECT SELECT * FROM bla' 4788 4789 Args: -4790 where: sql conditional parsed into a WHERE statement -4791 returning: sql conditional parsed into a RETURNING statement -4792 dialect: the dialect used to parse the input expressions. -4793 **opts: other options to use to parse the input expressions. -4794 -4795 Returns: -4796 Delete: the syntax tree for the DELETE statement. -4797 """ -4798 delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts) -4799 if where: -4800 delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts) -4801 if returning: -4802 delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts) -4803 return delete_expr -4804 +4790 left: the SQL code string corresponding to the left-hand side. +4791 If an `Expression` instance is passed, it will be used as-is. +4792 right: the SQL code string corresponding to the right-hand side. +4793 If an `Expression` instance is passed, it will be used as-is. +4794 distinct: set the DISTINCT flag if and only if this is true. +4795 dialect: the dialect used to parse the input expression. +4796 opts: other options to use to parse the input expressions. +4797 +4798 Returns: +4799 The new Intersect instance. +4800 """ +4801 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4802 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +4803 +4804 return Intersect(this=left, expression=right, distinct=distinct) 4805 -4806def insert( -4807 expression: ExpOrStr, -4808 into: ExpOrStr, -4809 columns: t.Optional[t.Sequence[ExpOrStr]] = None, -4810 overwrite: t.Optional[bool] = None, -4811 dialect: DialectType = None, -4812 copy: bool = True, -4813 **opts, -4814) -> Insert: -4815 """ -4816 Builds an INSERT statement. -4817 -4818 Example: -4819 >>> insert("VALUES (1, 2, 3)", "tbl").sql() -4820 'INSERT INTO tbl VALUES (1, 2, 3)' -4821 -4822 Args: -4823 expression: the sql string or expression of the INSERT statement -4824 into: the tbl to insert data to. -4825 columns: optionally the table's column names. -4826 overwrite: whether to INSERT OVERWRITE or not. -4827 dialect: the dialect used to parse the input expressions. -4828 copy: whether or not to copy the expression. -4829 **opts: other options to use to parse the input expressions. -4830 -4831 Returns: -4832 Insert: the syntax tree for the INSERT statement. -4833 """ -4834 expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts) -4835 this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts) -4836 -4837 if columns: -4838 this = _apply_list_builder( -4839 *columns, -4840 instance=Schema(this=this), -4841 arg="expressions", -4842 into=Identifier, -4843 copy=False, -4844 dialect=dialect, -4845 **opts, -4846 ) -4847 -4848 return Insert(this=this, expression=expr, overwrite=overwrite) -4849 +4806 +4807def except_( +4808 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts +4809) -> Except: +4810 """ +4811 Initializes a syntax tree from one EXCEPT expression. +4812 +4813 Example: +4814 >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql() +4815 'SELECT * FROM foo EXCEPT SELECT * FROM bla' +4816 +4817 Args: +4818 left: the SQL code string corresponding to the left-hand side. +4819 If an `Expression` instance is passed, it will be used as-is. +4820 right: the SQL code string corresponding to the right-hand side. +4821 If an `Expression` instance is passed, it will be used as-is. +4822 distinct: set the DISTINCT flag if and only if this is true. +4823 dialect: the dialect used to parse the input expression. +4824 opts: other options to use to parse the input expressions. +4825 +4826 Returns: +4827 The new Except instance. +4828 """ +4829 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4830 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +4831 +4832 return Except(this=left, expression=right, distinct=distinct) +4833 +4834 +4835def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select: +4836 """ +4837 Initializes a syntax tree from one or multiple SELECT expressions. +4838 +4839 Example: +4840 >>> select("col1", "col2").from_("tbl").sql() +4841 'SELECT col1, col2 FROM tbl' +4842 +4843 Args: +4844 *expressions: the SQL code string to parse as the expressions of a +4845 SELECT statement. If an Expression instance is passed, this is used as-is. +4846 dialect: the dialect used to parse the input expressions (in the case that an +4847 input expression is a SQL string). +4848 **opts: other options to use to parse the input expressions (again, in the case +4849 that an input expression is a SQL string). 4850 -4851def condition(expression, dialect=None, copy=True, **opts) -> Condition: -4852 """ -4853 Initialize a logical condition expression. -4854 -4855 Example: -4856 >>> condition("x=1").sql() -4857 'x = 1' -4858 -4859 This is helpful for composing larger logical syntax trees: -4860 >>> where = condition("x=1") -4861 >>> where = where.and_("y=1") -4862 >>> Select().from_("tbl").select("*").where(where).sql() -4863 'SELECT * FROM tbl WHERE x = 1 AND y = 1' +4851 Returns: +4852 Select: the syntax tree for the SELECT statement. +4853 """ +4854 return Select().select(*expressions, dialect=dialect, **opts) +4855 +4856 +4857def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select: +4858 """ +4859 Initializes a syntax tree from a FROM expression. +4860 +4861 Example: +4862 >>> from_("tbl").select("col1", "col2").sql() +4863 'SELECT col1, col2 FROM tbl' 4864 4865 Args: -4866 *expression (str | Expression): the SQL code string to parse. -4867 If an Expression instance is passed, this is used as-is. -4868 dialect (str): the dialect used to parse the input expression (in the case that the +4866 *expression: the SQL code string to parse as the FROM expressions of a +4867 SELECT statement. If an Expression instance is passed, this is used as-is. +4868 dialect: the dialect used to parse the input expression (in the case that the 4869 input expression is a SQL string). -4870 copy (bool): Whether or not to copy `expression` (only applies to expressions). -4871 **opts: other options to use to parse the input expressions (again, in the case -4872 that the input expression is a SQL string). -4873 -4874 Returns: -4875 Condition: the expression -4876 """ -4877 return maybe_parse( # type: ignore -4878 expression, -4879 into=Condition, -4880 dialect=dialect, -4881 copy=copy, -4882 **opts, -4883 ) -4884 -4885 -4886def and_(*expressions, dialect=None, copy=True, **opts) -> And: +4870 **opts: other options to use to parse the input expressions (again, in the case +4871 that the input expression is a SQL string). +4872 +4873 Returns: +4874 Select: the syntax tree for the SELECT statement. +4875 """ +4876 return Select().from_(expression, dialect=dialect, **opts) +4877 +4878 +4879def update( +4880 table: str | Table, +4881 properties: dict, +4882 where: t.Optional[ExpOrStr] = None, +4883 from_: t.Optional[ExpOrStr] = None, +4884 dialect: DialectType = None, +4885 **opts, +4886) -> Update: 4887 """ -4888 Combine multiple conditions with an AND logical operator. +4888 Creates an update statement. 4889 4890 Example: -4891 >>> and_("x=1", and_("y=1", "z=1")).sql() -4892 'x = 1 AND (y = 1 AND z = 1)' +4891 >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql() +4892 "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1" 4893 4894 Args: -4895 *expressions (str | Expression): the SQL code strings to parse. -4896 If an Expression instance is passed, this is used as-is. -4897 dialect (str): the dialect used to parse the input expression. -4898 copy (bool): whether or not to copy `expressions` (only applies to Expressions). -4899 **opts: other options to use to parse the input expressions. -4900 -4901 Returns: -4902 And: the new condition -4903 """ -4904 return _combine(expressions, And, dialect, copy=copy, **opts) -4905 -4906 -4907def or_(*expressions, dialect=None, copy=True, **opts) -> Or: -4908 """ -4909 Combine multiple conditions with an OR logical operator. -4910 -4911 Example: -4912 >>> or_("x=1", or_("y=1", "z=1")).sql() -4913 'x = 1 OR (y = 1 OR z = 1)' -4914 -4915 Args: -4916 *expressions (str | Expression): the SQL code strings to parse. -4917 If an Expression instance is passed, this is used as-is. -4918 dialect (str): the dialect used to parse the input expression. -4919 copy (bool): whether or not to copy `expressions` (only applies to Expressions). -4920 **opts: other options to use to parse the input expressions. -4921 -4922 Returns: -4923 Or: the new condition -4924 """ -4925 return _combine(expressions, Or, dialect, copy=copy, **opts) +4895 *properties: dictionary of properties to set which are +4896 auto converted to sql objects eg None -> NULL +4897 where: sql conditional parsed into a WHERE statement +4898 from_: sql statement parsed into a FROM statement +4899 dialect: the dialect used to parse the input expressions. +4900 **opts: other options to use to parse the input expressions. +4901 +4902 Returns: +4903 Update: the syntax tree for the UPDATE statement. +4904 """ +4905 update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect)) +4906 update_expr.set( +4907 "expressions", +4908 [ +4909 EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v)) +4910 for k, v in properties.items() +4911 ], +4912 ) +4913 if from_: +4914 update_expr.set( +4915 "from", +4916 maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts), +4917 ) +4918 if isinstance(where, Condition): +4919 where = Where(this=where) +4920 if where: +4921 update_expr.set( +4922 "where", +4923 maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), +4924 ) +4925 return update_expr 4926 4927 -4928def not_(expression, dialect=None, copy=True, **opts) -> Not: -4929 """ -4930 Wrap a condition with a NOT operator. -4931 -4932 Example: -4933 >>> not_("this_suit='black'").sql() -4934 "NOT this_suit = 'black'" -4935 -4936 Args: -4937 expression (str | Expression): the SQL code strings to parse. -4938 If an Expression instance is passed, this is used as-is. -4939 dialect (str): the dialect used to parse the input expression. -4940 **opts: other options to use to parse the input expressions. +4928def delete( +4929 table: ExpOrStr, +4930 where: t.Optional[ExpOrStr] = None, +4931 returning: t.Optional[ExpOrStr] = None, +4932 dialect: DialectType = None, +4933 **opts, +4934) -> Delete: +4935 """ +4936 Builds a delete statement. +4937 +4938 Example: +4939 >>> delete("my_table", where="id > 1").sql() +4940 'DELETE FROM my_table WHERE id > 1' 4941 -4942 Returns: -4943 Not: the new condition -4944 """ -4945 this = condition( -4946 expression, -4947 dialect=dialect, -4948 copy=copy, -4949 **opts, -4950 ) -4951 return Not(this=_wrap(this, Connector)) -4952 -4953 -4954def paren(expression, copy=True) -> Paren: -4955 return Paren(this=_maybe_copy(expression, copy)) -4956 +4942 Args: +4943 where: sql conditional parsed into a WHERE statement +4944 returning: sql conditional parsed into a RETURNING statement +4945 dialect: the dialect used to parse the input expressions. +4946 **opts: other options to use to parse the input expressions. +4947 +4948 Returns: +4949 Delete: the syntax tree for the DELETE statement. +4950 """ +4951 delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts) +4952 if where: +4953 delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts) +4954 if returning: +4955 delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts) +4956 return delete_expr 4957 -4958SAFE_IDENTIFIER_RE = re.compile(r"^[_a-zA-Z][\w]*$") -4959 -4960 -4961@t.overload -4962def to_identifier(name: None, quoted: t.Optional[bool] = None, copy: bool = True) -> None: -4963 ... -4964 -4965 -4966@t.overload -4967def to_identifier( -4968 name: str | Identifier, quoted: t.Optional[bool] = None, copy: bool = True -4969) -> Identifier: -4970 ... -4971 -4972 -4973def to_identifier(name, quoted=None, copy=True): -4974 """Builds an identifier. -4975 -4976 Args: -4977 name: The name to turn into an identifier. -4978 quoted: Whether or not force quote the identifier. -4979 copy: Whether or not to copy a passed in Identefier node. -4980 -4981 Returns: -4982 The identifier ast node. -4983 """ -4984 -4985 if name is None: -4986 return None -4987 -4988 if isinstance(name, Identifier): -4989 identifier = _maybe_copy(name, copy) -4990 elif isinstance(name, str): -4991 identifier = Identifier( -4992 this=name, -4993 quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted, -4994 ) -4995 else: -4996 raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}") -4997 return identifier -4998 -4999 -5000INTERVAL_STRING_RE = re.compile(r"\s*([0-9]+)\s*([a-zA-Z]+)\s*") -5001 +4958 +4959def insert( +4960 expression: ExpOrStr, +4961 into: ExpOrStr, +4962 columns: t.Optional[t.Sequence[ExpOrStr]] = None, +4963 overwrite: t.Optional[bool] = None, +4964 dialect: DialectType = None, +4965 copy: bool = True, +4966 **opts, +4967) -> Insert: +4968 """ +4969 Builds an INSERT statement. +4970 +4971 Example: +4972 >>> insert("VALUES (1, 2, 3)", "tbl").sql() +4973 'INSERT INTO tbl VALUES (1, 2, 3)' +4974 +4975 Args: +4976 expression: the sql string or expression of the INSERT statement +4977 into: the tbl to insert data to. +4978 columns: optionally the table's column names. +4979 overwrite: whether to INSERT OVERWRITE or not. +4980 dialect: the dialect used to parse the input expressions. +4981 copy: whether or not to copy the expression. +4982 **opts: other options to use to parse the input expressions. +4983 +4984 Returns: +4985 Insert: the syntax tree for the INSERT statement. +4986 """ +4987 expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts) +4988 this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts) +4989 +4990 if columns: +4991 this = _apply_list_builder( +4992 *columns, +4993 instance=Schema(this=this), +4994 arg="expressions", +4995 into=Identifier, +4996 copy=False, +4997 dialect=dialect, +4998 **opts, +4999 ) +5000 +5001 return Insert(this=this, expression=expr, overwrite=overwrite) 5002 -5003def to_interval(interval: str | Literal) -> Interval: -5004 """Builds an interval expression from a string like '1 day' or '5 months'.""" -5005 if isinstance(interval, Literal): -5006 if not interval.is_string: -5007 raise ValueError("Invalid interval string.") -5008 -5009 interval = interval.this -5010 -5011 interval_parts = INTERVAL_STRING_RE.match(interval) # type: ignore -5012 -5013 if not interval_parts: -5014 raise ValueError("Invalid interval string.") -5015 -5016 return Interval( -5017 this=Literal.string(interval_parts.group(1)), -5018 unit=Var(this=interval_parts.group(2)), -5019 ) -5020 -5021 -5022@t.overload -5023def to_table(sql_path: str | Table, **kwargs) -> Table: -5024 ... -5025 -5026 -5027@t.overload -5028def to_table(sql_path: None, **kwargs) -> None: -5029 ... -5030 -5031 -5032def to_table( -5033 sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs -5034) -> t.Optional[Table]: -5035 """ -5036 Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional. -5037 If a table is passed in then that table is returned. -5038 -5039 Args: -5040 sql_path: a `[catalog].[schema].[table]` string. -5041 dialect: the source dialect according to which the table name will be parsed. -5042 kwargs: the kwargs to instantiate the resulting `Table` expression with. -5043 -5044 Returns: -5045 A table expression. -5046 """ -5047 if sql_path is None or isinstance(sql_path, Table): -5048 return sql_path -5049 if not isinstance(sql_path, str): -5050 raise ValueError(f"Invalid type provided for a table: {type(sql_path)}") -5051 -5052 table = maybe_parse(sql_path, into=Table, dialect=dialect) -5053 if table: -5054 for k, v in kwargs.items(): -5055 table.set(k, v) -5056 -5057 return table -5058 -5059 -5060def to_column(sql_path: str | Column, **kwargs) -> Column: -5061 """ -5062 Create a column from a `[table].[column]` sql path. Schema is optional. +5003 +5004def condition( +5005 expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts +5006) -> Condition: +5007 """ +5008 Initialize a logical condition expression. +5009 +5010 Example: +5011 >>> condition("x=1").sql() +5012 'x = 1' +5013 +5014 This is helpful for composing larger logical syntax trees: +5015 >>> where = condition("x=1") +5016 >>> where = where.and_("y=1") +5017 >>> Select().from_("tbl").select("*").where(where).sql() +5018 'SELECT * FROM tbl WHERE x = 1 AND y = 1' +5019 +5020 Args: +5021 *expression: the SQL code string to parse. +5022 If an Expression instance is passed, this is used as-is. +5023 dialect: the dialect used to parse the input expression (in the case that the +5024 input expression is a SQL string). +5025 copy: Whether or not to copy `expression` (only applies to expressions). +5026 **opts: other options to use to parse the input expressions (again, in the case +5027 that the input expression is a SQL string). +5028 +5029 Returns: +5030 The new Condition instance +5031 """ +5032 return maybe_parse( +5033 expression, +5034 into=Condition, +5035 dialect=dialect, +5036 copy=copy, +5037 **opts, +5038 ) +5039 +5040 +5041def and_( +5042 *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts +5043) -> Expression: +5044 """ +5045 Combine multiple conditions with an AND logical operator. +5046 +5047 Example: +5048 >>> and_("x=1", and_("y=1", "z=1")).sql() +5049 'x = 1 AND (y = 1 AND z = 1)' +5050 +5051 Args: +5052 *expressions: the SQL code strings to parse. +5053 If an Expression instance is passed, this is used as-is. +5054 dialect: the dialect used to parse the input expression. +5055 copy: whether or not to copy `expressions` (only applies to Expressions). +5056 **opts: other options to use to parse the input expressions. +5057 +5058 Returns: +5059 And: the new condition +5060 """ +5061 return _combine(expressions, And, dialect, copy=copy, **opts) +5062 5063 -5064 If a column is passed in then that column is returned. -5065 -5066 Args: -5067 sql_path: `[table].[column]` string -5068 Returns: -5069 Table: A column expression -5070 """ -5071 if sql_path is None or isinstance(sql_path, Column): -5072 return sql_path -5073 if not isinstance(sql_path, str): -5074 raise ValueError(f"Invalid type provided for column: {type(sql_path)}") -5075 return column(*reversed(sql_path.split(".")), **kwargs) # type: ignore -5076 -5077 -5078def alias_( -5079 expression: ExpOrStr, -5080 alias: str | Identifier, -5081 table: bool | t.Sequence[str | Identifier] = False, -5082 quoted: t.Optional[bool] = None, -5083 dialect: DialectType = None, -5084 copy: bool = True, -5085 **opts, -5086): -5087 """Create an Alias expression. -5088 -5089 Example: -5090 >>> alias_('foo', 'bar').sql() -5091 'foo AS bar' -5092 -5093 >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql() -5094 '(SELECT 1, 2) AS bar(a, b)' -5095 -5096 Args: -5097 expression: the SQL code strings to parse. -5098 If an Expression instance is passed, this is used as-is. -5099 alias: the alias name to use. If the name has -5100 special characters it is quoted. -5101 table: Whether or not to create a table alias, can also be a list of columns. -5102 quoted: whether or not to quote the alias -5103 dialect: the dialect used to parse the input expression. -5104 copy: Whether or not to copy the expression. -5105 **opts: other options to use to parse the input expressions. -5106 -5107 Returns: -5108 Alias: the aliased expression -5109 """ -5110 exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts) -5111 alias = to_identifier(alias, quoted=quoted) +5064def or_( +5065 *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts +5066) -> Expression: +5067 """ +5068 Combine multiple conditions with an OR logical operator. +5069 +5070 Example: +5071 >>> or_("x=1", or_("y=1", "z=1")).sql() +5072 'x = 1 OR (y = 1 OR z = 1)' +5073 +5074 Args: +5075 *expressions: the SQL code strings to parse. +5076 If an Expression instance is passed, this is used as-is. +5077 dialect: the dialect used to parse the input expression. +5078 copy: whether or not to copy `expressions` (only applies to Expressions). +5079 **opts: other options to use to parse the input expressions. +5080 +5081 Returns: +5082 Or: the new condition +5083 """ +5084 return _combine(expressions, Or, dialect, copy=copy, **opts) +5085 +5086 +5087def not_(expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts) -> Not: +5088 """ +5089 Wrap a condition with a NOT operator. +5090 +5091 Example: +5092 >>> not_("this_suit='black'").sql() +5093 "NOT this_suit = 'black'" +5094 +5095 Args: +5096 expression: the SQL code string to parse. +5097 If an Expression instance is passed, this is used as-is. +5098 dialect: the dialect used to parse the input expression. +5099 copy: whether to copy the expression or not. +5100 **opts: other options to use to parse the input expressions. +5101 +5102 Returns: +5103 The new condition. +5104 """ +5105 this = condition( +5106 expression, +5107 dialect=dialect, +5108 copy=copy, +5109 **opts, +5110 ) +5111 return Not(this=_wrap(this, Connector)) 5112 -5113 if table: -5114 table_alias = TableAlias(this=alias) -5115 exp.set("alias", table_alias) -5116 -5117 if not isinstance(table, bool): -5118 for column in table: -5119 table_alias.append("columns", to_identifier(column, quoted=quoted)) -5120 -5121 return exp -5122 -5123 # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in -5124 # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node -5125 # for the complete Window expression. -5126 # -5127 # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls -5128 -5129 if "alias" in exp.arg_types and not isinstance(exp, Window): -5130 exp.set("alias", alias) -5131 return exp -5132 return Alias(this=exp, alias=alias) -5133 +5113 +5114def paren(expression: ExpOrStr, copy: bool = True) -> Paren: +5115 """ +5116 Wrap an expression in parentheses. +5117 +5118 Example: +5119 >>> paren("5 + 3").sql() +5120 '(5 + 3)' +5121 +5122 Args: +5123 expression: the SQL code string to parse. +5124 If an Expression instance is passed, this is used as-is. +5125 copy: whether to copy the expression or not. +5126 +5127 Returns: +5128 The wrapped expression. +5129 """ +5130 return Paren(this=maybe_parse(expression, copy=copy)) +5131 +5132 +5133SAFE_IDENTIFIER_RE = re.compile(r"^[_a-zA-Z][\w]*$") 5134 -5135def subquery(expression, alias=None, dialect=None, **opts): -5136 """ -5137 Build a subquery expression. -5138 -5139 Example: -5140 >>> subquery('select x from tbl', 'bar').select('x').sql() -5141 'SELECT x FROM (SELECT x FROM tbl) AS bar' -5142 -5143 Args: -5144 expression (str | Expression): the SQL code strings to parse. -5145 If an Expression instance is passed, this is used as-is. -5146 alias (str | Expression): the alias name to use. -5147 dialect (str): the dialect used to parse the input expression. -5148 **opts: other options to use to parse the input expressions. -5149 -5150 Returns: -5151 Select: a new select with the subquery expression included -5152 """ -5153 -5154 expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias) -5155 return Select().from_(expression, dialect=dialect, **opts) -5156 -5157 -5158def column( -5159 col: str | Identifier, -5160 table: t.Optional[str | Identifier] = None, -5161 db: t.Optional[str | Identifier] = None, -5162 catalog: t.Optional[str | Identifier] = None, -5163 quoted: t.Optional[bool] = None, -5164) -> Column: -5165 """ -5166 Build a Column. -5167 -5168 Args: -5169 col: column name -5170 table: table name -5171 db: db name -5172 catalog: catalog name -5173 quoted: whether or not to force quote each part -5174 Returns: -5175 Column: column instance -5176 """ -5177 return Column( -5178 this=to_identifier(col, quoted=quoted), -5179 table=to_identifier(table, quoted=quoted), -5180 db=to_identifier(db, quoted=quoted), -5181 catalog=to_identifier(catalog, quoted=quoted), -5182 ) +5135 +5136@t.overload +5137def to_identifier(name: None, quoted: t.Optional[bool] = None, copy: bool = True) -> None: +5138 ... +5139 +5140 +5141@t.overload +5142def to_identifier( +5143 name: str | Identifier, quoted: t.Optional[bool] = None, copy: bool = True +5144) -> Identifier: +5145 ... +5146 +5147 +5148def to_identifier(name, quoted=None, copy=True): +5149 """Builds an identifier. +5150 +5151 Args: +5152 name: The name to turn into an identifier. +5153 quoted: Whether or not force quote the identifier. +5154 copy: Whether or not to copy a passed in Identefier node. +5155 +5156 Returns: +5157 The identifier ast node. +5158 """ +5159 +5160 if name is None: +5161 return None +5162 +5163 if isinstance(name, Identifier): +5164 identifier = _maybe_copy(name, copy) +5165 elif isinstance(name, str): +5166 identifier = Identifier( +5167 this=name, +5168 quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted, +5169 ) +5170 else: +5171 raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}") +5172 return identifier +5173 +5174 +5175INTERVAL_STRING_RE = re.compile(r"\s*([0-9]+)\s*([a-zA-Z]+)\s*") +5176 +5177 +5178def to_interval(interval: str | Literal) -> Interval: +5179 """Builds an interval expression from a string like '1 day' or '5 months'.""" +5180 if isinstance(interval, Literal): +5181 if not interval.is_string: +5182 raise ValueError("Invalid interval string.") 5183 -5184 -5185def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast: -5186 """Cast an expression to a data type. +5184 interval = interval.this +5185 +5186 interval_parts = INTERVAL_STRING_RE.match(interval) # type: ignore 5187 -5188 Example: -5189 >>> cast('x + 1', 'int').sql() -5190 'CAST(x + 1 AS INT)' -5191 -5192 Args: -5193 expression: The expression to cast. -5194 to: The datatype to cast to. +5188 if not interval_parts: +5189 raise ValueError("Invalid interval string.") +5190 +5191 return Interval( +5192 this=Literal.string(interval_parts.group(1)), +5193 unit=Var(this=interval_parts.group(2)), +5194 ) 5195 -5196 Returns: -5197 A cast node. -5198 """ -5199 expression = maybe_parse(expression, **opts) -5200 return Cast(this=expression, to=DataType.build(to, **opts)) +5196 +5197@t.overload +5198def to_table(sql_path: str | Table, **kwargs) -> Table: +5199 ... +5200 5201 -5202 -5203def table_(table, db=None, catalog=None, quoted=None, alias=None) -> Table: -5204 """Build a Table. +5202@t.overload +5203def to_table(sql_path: None, **kwargs) -> None: +5204 ... 5205 -5206 Args: -5207 table (str | Expression): column name -5208 db (str | Expression): db name -5209 catalog (str | Expression): catalog name -5210 -5211 Returns: -5212 Table: table instance -5213 """ -5214 return Table( -5215 this=to_identifier(table, quoted=quoted), -5216 db=to_identifier(db, quoted=quoted), -5217 catalog=to_identifier(catalog, quoted=quoted), -5218 alias=TableAlias(this=to_identifier(alias)) if alias else None, -5219 ) -5220 -5221 -5222def values( -5223 values: t.Iterable[t.Tuple[t.Any, ...]], -5224 alias: t.Optional[str] = None, -5225 columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None, -5226) -> Values: -5227 """Build VALUES statement. -5228 -5229 Example: -5230 >>> values([(1, '2')]).sql() -5231 "VALUES (1, '2')" -5232 -5233 Args: -5234 values: values statements that will be converted to SQL -5235 alias: optional alias -5236 columns: Optional list of ordered column names or ordered dictionary of column names to types. -5237 If either are provided then an alias is also required. +5206 +5207def to_table( +5208 sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs +5209) -> t.Optional[Table]: +5210 """ +5211 Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional. +5212 If a table is passed in then that table is returned. +5213 +5214 Args: +5215 sql_path: a `[catalog].[schema].[table]` string. +5216 dialect: the source dialect according to which the table name will be parsed. +5217 kwargs: the kwargs to instantiate the resulting `Table` expression with. +5218 +5219 Returns: +5220 A table expression. +5221 """ +5222 if sql_path is None or isinstance(sql_path, Table): +5223 return sql_path +5224 if not isinstance(sql_path, str): +5225 raise ValueError(f"Invalid type provided for a table: {type(sql_path)}") +5226 +5227 table = maybe_parse(sql_path, into=Table, dialect=dialect) +5228 if table: +5229 for k, v in kwargs.items(): +5230 table.set(k, v) +5231 +5232 return table +5233 +5234 +5235def to_column(sql_path: str | Column, **kwargs) -> Column: +5236 """ +5237 Create a column from a `[table].[column]` sql path. Schema is optional. 5238 -5239 Returns: -5240 Values: the Values expression object -5241 """ -5242 if columns and not alias: -5243 raise ValueError("Alias is required when providing columns") -5244 -5245 return Values( -5246 expressions=[convert(tup) for tup in values], -5247 alias=( -5248 TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns]) -5249 if columns -5250 else (TableAlias(this=to_identifier(alias)) if alias else None) -5251 ), -5252 ) -5253 -5254 -5255def var(name: t.Optional[ExpOrStr]) -> Var: -5256 """Build a SQL variable. -5257 -5258 Example: -5259 >>> repr(var('x')) -5260 '(VAR this: x)' -5261 -5262 >>> repr(var(column('x', table='y'))) -5263 '(VAR this: x)' -5264 -5265 Args: -5266 name: The name of the var or an expression who's name will become the var. +5239 If a column is passed in then that column is returned. +5240 +5241 Args: +5242 sql_path: `[table].[column]` string +5243 Returns: +5244 Table: A column expression +5245 """ +5246 if sql_path is None or isinstance(sql_path, Column): +5247 return sql_path +5248 if not isinstance(sql_path, str): +5249 raise ValueError(f"Invalid type provided for column: {type(sql_path)}") +5250 return column(*reversed(sql_path.split(".")), **kwargs) # type: ignore +5251 +5252 +5253def alias_( +5254 expression: ExpOrStr, +5255 alias: str | Identifier, +5256 table: bool | t.Sequence[str | Identifier] = False, +5257 quoted: t.Optional[bool] = None, +5258 dialect: DialectType = None, +5259 copy: bool = True, +5260 **opts, +5261): +5262 """Create an Alias expression. +5263 +5264 Example: +5265 >>> alias_('foo', 'bar').sql() +5266 'foo AS bar' 5267 -5268 Returns: -5269 The new variable node. -5270 """ -5271 if not name: -5272 raise ValueError("Cannot convert empty name into var.") -5273 -5274 if isinstance(name, Expression): -5275 name = name.name -5276 return Var(this=name) -5277 -5278 -5279def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable: -5280 """Build ALTER TABLE... RENAME... expression +5268 >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql() +5269 '(SELECT 1, 2) AS bar(a, b)' +5270 +5271 Args: +5272 expression: the SQL code strings to parse. +5273 If an Expression instance is passed, this is used as-is. +5274 alias: the alias name to use. If the name has +5275 special characters it is quoted. +5276 table: Whether or not to create a table alias, can also be a list of columns. +5277 quoted: whether or not to quote the alias +5278 dialect: the dialect used to parse the input expression. +5279 copy: Whether or not to copy the expression. +5280 **opts: other options to use to parse the input expressions. 5281 -5282 Args: -5283 old_name: The old name of the table -5284 new_name: The new name of the table -5285 -5286 Returns: -5287 Alter table expression -5288 """ -5289 old_table = to_table(old_name) -5290 new_table = to_table(new_name) -5291 return AlterTable( -5292 this=old_table, -5293 actions=[ -5294 RenameTable(this=new_table), -5295 ], -5296 ) +5282 Returns: +5283 Alias: the aliased expression +5284 """ +5285 exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts) +5286 alias = to_identifier(alias, quoted=quoted) +5287 +5288 if table: +5289 table_alias = TableAlias(this=alias) +5290 exp.set("alias", table_alias) +5291 +5292 if not isinstance(table, bool): +5293 for column in table: +5294 table_alias.append("columns", to_identifier(column, quoted=quoted)) +5295 +5296 return exp 5297 -5298 -5299def convert(value: t.Any, copy: bool = False) -> Expression: -5300 """Convert a python value into an expression object. -5301 -5302 Raises an error if a conversion is not possible. +5298 # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in +5299 # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node +5300 # for the complete Window expression. +5301 # +5302 # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls 5303 -5304 Args: -5305 value: A python object. -5306 copy: Whether or not to copy `value` (only applies to Expressions and collections). -5307 -5308 Returns: -5309 Expression: the equivalent expression object. -5310 """ -5311 if isinstance(value, Expression): -5312 return _maybe_copy(value, copy) -5313 if isinstance(value, str): -5314 return Literal.string(value) -5315 if isinstance(value, bool): -5316 return Boolean(this=value) -5317 if value is None or (isinstance(value, float) and math.isnan(value)): -5318 return NULL -5319 if isinstance(value, numbers.Number): -5320 return Literal.number(value) -5321 if isinstance(value, datetime.datetime): -5322 datetime_literal = Literal.string( -5323 (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat() -5324 ) -5325 return TimeStrToTime(this=datetime_literal) -5326 if isinstance(value, datetime.date): -5327 date_literal = Literal.string(value.strftime("%Y-%m-%d")) -5328 return DateStrToDate(this=date_literal) -5329 if isinstance(value, tuple): -5330 return Tuple(expressions=[convert(v, copy=copy) for v in value]) -5331 if isinstance(value, list): -5332 return Array(expressions=[convert(v, copy=copy) for v in value]) -5333 if isinstance(value, dict): -5334 return Map( -5335 keys=[convert(k, copy=copy) for k in value], -5336 values=[convert(v, copy=copy) for v in value.values()], -5337 ) -5338 raise ValueError(f"Cannot convert {value}") -5339 -5340 -5341def replace_children(expression, fun, *args, **kwargs): -5342 """ -5343 Replace children of an expression with the result of a lambda fun(child) -> exp. -5344 """ -5345 for k, v in expression.args.items(): -5346 is_list_arg = type(v) is list +5304 if "alias" in exp.arg_types and not isinstance(exp, Window): +5305 exp.set("alias", alias) +5306 return exp +5307 return Alias(this=exp, alias=alias) +5308 +5309 +5310def subquery( +5311 expression: ExpOrStr, +5312 alias: t.Optional[Identifier | str] = None, +5313 dialect: DialectType = None, +5314 **opts, +5315) -> Select: +5316 """ +5317 Build a subquery expression. +5318 +5319 Example: +5320 >>> subquery('select x from tbl', 'bar').select('x').sql() +5321 'SELECT x FROM (SELECT x FROM tbl) AS bar' +5322 +5323 Args: +5324 expression: the SQL code strings to parse. +5325 If an Expression instance is passed, this is used as-is. +5326 alias: the alias name to use. +5327 dialect: the dialect used to parse the input expression. +5328 **opts: other options to use to parse the input expressions. +5329 +5330 Returns: +5331 A new Select instance with the subquery expression included. +5332 """ +5333 +5334 expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias) +5335 return Select().from_(expression, dialect=dialect, **opts) +5336 +5337 +5338def column( +5339 col: str | Identifier, +5340 table: t.Optional[str | Identifier] = None, +5341 db: t.Optional[str | Identifier] = None, +5342 catalog: t.Optional[str | Identifier] = None, +5343 quoted: t.Optional[bool] = None, +5344) -> Column: +5345 """ +5346 Build a Column. 5347 -5348 child_nodes = v if is_list_arg else [v] -5349 new_child_nodes = [] -5350 -5351 for cn in child_nodes: -5352 if isinstance(cn, Expression): -5353 for child_node in ensure_collection(fun(cn, *args, **kwargs)): -5354 new_child_nodes.append(child_node) -5355 child_node.parent = expression -5356 child_node.arg_key = k -5357 else: -5358 new_child_nodes.append(cn) -5359 -5360 expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0) -5361 -5362 -5363def column_table_names(expression): -5364 """ -5365 Return all table names referenced through columns in an expression. -5366 -5367 Example: -5368 >>> import sqlglot -5369 >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")) -5370 ['c', 'a'] -5371 -5372 Args: -5373 expression (sqlglot.Expression): expression to find table names -5374 -5375 Returns: -5376 list: A list of unique names -5377 """ -5378 return list(dict.fromkeys(column.table for column in expression.find_all(Column))) -5379 -5380 -5381def table_name(table) -> str: -5382 """Get the full name of a table as a string. +5348 Args: +5349 col: Column name. +5350 table: Table name. +5351 db: Database name. +5352 catalog: Catalog name. +5353 quoted: Whether to force quotes on the column's identifiers. +5354 +5355 Returns: +5356 The new Column instance. +5357 """ +5358 return Column( +5359 this=to_identifier(col, quoted=quoted), +5360 table=to_identifier(table, quoted=quoted), +5361 db=to_identifier(db, quoted=quoted), +5362 catalog=to_identifier(catalog, quoted=quoted), +5363 ) +5364 +5365 +5366def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast: +5367 """Cast an expression to a data type. +5368 +5369 Example: +5370 >>> cast('x + 1', 'int').sql() +5371 'CAST(x + 1 AS INT)' +5372 +5373 Args: +5374 expression: The expression to cast. +5375 to: The datatype to cast to. +5376 +5377 Returns: +5378 The new Cast instance. +5379 """ +5380 expression = maybe_parse(expression, **opts) +5381 return Cast(this=expression, to=DataType.build(to, **opts)) +5382 5383 -5384 Args: -5385 table (exp.Table | str): table expression node or string. -5386 -5387 Examples: -5388 >>> from sqlglot import exp, parse_one -5389 >>> table_name(parse_one("select * from a.b.c").find(exp.Table)) -5390 'a.b.c' -5391 -5392 Returns: -5393 The table name. -5394 """ -5395 -5396 table = maybe_parse(table, into=Table) -5397 -5398 if not table: -5399 raise ValueError(f"Cannot parse {table}") -5400 -5401 return ".".join( -5402 part -5403 for part in ( -5404 table.text("catalog"), -5405 table.text("db"), -5406 table.name, -5407 ) -5408 if part -5409 ) +5384def table_( +5385 table: Identifier | str, +5386 db: t.Optional[Identifier | str] = None, +5387 catalog: t.Optional[Identifier | str] = None, +5388 quoted: t.Optional[bool] = None, +5389 alias: t.Optional[Identifier | str] = None, +5390) -> Table: +5391 """Build a Table. +5392 +5393 Args: +5394 table: Table name. +5395 db: Database name. +5396 catalog: Catalog name. +5397 quote: Whether to force quotes on the table's identifiers. +5398 alias: Table's alias. +5399 +5400 Returns: +5401 The new Table instance. +5402 """ +5403 return Table( +5404 this=to_identifier(table, quoted=quoted), +5405 db=to_identifier(db, quoted=quoted), +5406 catalog=to_identifier(catalog, quoted=quoted), +5407 alias=TableAlias(this=to_identifier(alias)) if alias else None, +5408 ) +5409 5410 -5411 -5412def replace_tables(expression, mapping): -5413 """Replace all tables in expression according to the mapping. -5414 -5415 Args: -5416 expression (sqlglot.Expression): expression node to be transformed and replaced. -5417 mapping (Dict[str, str]): mapping of table names. -5418 -5419 Examples: -5420 >>> from sqlglot import exp, parse_one -5421 >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql() -5422 'SELECT * FROM c' -5423 -5424 Returns: -5425 The mapped expression. -5426 """ +5411def values( +5412 values: t.Iterable[t.Tuple[t.Any, ...]], +5413 alias: t.Optional[str] = None, +5414 columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None, +5415) -> Values: +5416 """Build VALUES statement. +5417 +5418 Example: +5419 >>> values([(1, '2')]).sql() +5420 "VALUES (1, '2')" +5421 +5422 Args: +5423 values: values statements that will be converted to SQL +5424 alias: optional alias +5425 columns: Optional list of ordered column names or ordered dictionary of column names to types. +5426 If either are provided then an alias is also required. 5427 -5428 def _replace_tables(node): -5429 if isinstance(node, Table): -5430 new_name = mapping.get(table_name(node)) -5431 if new_name: -5432 return to_table( -5433 new_name, -5434 **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")}, -5435 ) -5436 return node -5437 -5438 return expression.transform(_replace_tables) -5439 -5440 -5441def replace_placeholders(expression, *args, **kwargs): -5442 """Replace placeholders in an expression. +5428 Returns: +5429 Values: the Values expression object +5430 """ +5431 if columns and not alias: +5432 raise ValueError("Alias is required when providing columns") +5433 +5434 return Values( +5435 expressions=[convert(tup) for tup in values], +5436 alias=( +5437 TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns]) +5438 if columns +5439 else (TableAlias(this=to_identifier(alias)) if alias else None) +5440 ), +5441 ) +5442 5443 -5444 Args: -5445 expression (sqlglot.Expression): expression node to be transformed and replaced. -5446 args: positional names that will substitute unnamed placeholders in the given order. -5447 kwargs: keyword arguments that will substitute named placeholders. -5448 -5449 Examples: -5450 >>> from sqlglot import exp, parse_one -5451 >>> replace_placeholders( -5452 ... parse_one("select * from :tbl where ? = ?"), -5453 ... exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo") -5454 ... ).sql() -5455 "SELECT * FROM foo WHERE str_col = 'b'" +5444def var(name: t.Optional[ExpOrStr]) -> Var: +5445 """Build a SQL variable. +5446 +5447 Example: +5448 >>> repr(var('x')) +5449 '(VAR this: x)' +5450 +5451 >>> repr(var(column('x', table='y'))) +5452 '(VAR this: x)' +5453 +5454 Args: +5455 name: The name of the var or an expression who's name will become the var. 5456 5457 Returns: -5458 The mapped expression. +5458 The new variable node. 5459 """ -5460 -5461 def _replace_placeholders(node, args, **kwargs): -5462 if isinstance(node, Placeholder): -5463 if node.name: -5464 new_name = kwargs.get(node.name) -5465 if new_name: -5466 return convert(new_name) -5467 else: -5468 try: -5469 return convert(next(args)) -5470 except StopIteration: -5471 pass -5472 return node -5473 -5474 return expression.transform(_replace_placeholders, iter(args), **kwargs) -5475 -5476 -5477def expand( -5478 expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True -5479) -> Expression: -5480 """Transforms an expression by expanding all referenced sources into subqueries. -5481 -5482 Examples: -5483 >>> from sqlglot import parse_one -5484 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql() -5485 'SELECT * FROM (SELECT * FROM y) AS z /* source: x */' +5460 if not name: +5461 raise ValueError("Cannot convert empty name into var.") +5462 +5463 if isinstance(name, Expression): +5464 name = name.name +5465 return Var(this=name) +5466 +5467 +5468def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable: +5469 """Build ALTER TABLE... RENAME... expression +5470 +5471 Args: +5472 old_name: The old name of the table +5473 new_name: The new name of the table +5474 +5475 Returns: +5476 Alter table expression +5477 """ +5478 old_table = to_table(old_name) +5479 new_table = to_table(new_name) +5480 return AlterTable( +5481 this=old_table, +5482 actions=[ +5483 RenameTable(this=new_table), +5484 ], +5485 ) 5486 -5487 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql() -5488 'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */' -5489 -5490 Args: -5491 expression: The expression to expand. -5492 sources: A dictionary of name to Subqueryables. -5493 copy: Whether or not to copy the expression during transformation. Defaults to True. -5494 -5495 Returns: -5496 The transformed expression. -5497 """ -5498 -5499 def _expand(node: Expression): -5500 if isinstance(node, Table): -5501 name = table_name(node) -5502 source = sources.get(name) -5503 if source: -5504 subquery = source.subquery(node.alias or name) -5505 subquery.comments = [f"source: {name}"] -5506 return subquery.transform(_expand, copy=False) -5507 return node -5508 -5509 return expression.transform(_expand, copy=copy) -5510 -5511 -5512def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func: -5513 """ -5514 Returns a Func expression. -5515 -5516 Examples: -5517 >>> func("abs", 5).sql() -5518 'ABS(5)' -5519 -5520 >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql() -5521 'CAST(5 AS DOUBLE)' -5522 -5523 Args: -5524 name: the name of the function to build. -5525 args: the args used to instantiate the function of interest. -5526 dialect: the source dialect. -5527 kwargs: the kwargs used to instantiate the function of interest. +5487 +5488def convert(value: t.Any, copy: bool = False) -> Expression: +5489 """Convert a python value into an expression object. +5490 +5491 Raises an error if a conversion is not possible. +5492 +5493 Args: +5494 value: A python object. +5495 copy: Whether or not to copy `value` (only applies to Expressions and collections). +5496 +5497 Returns: +5498 Expression: the equivalent expression object. +5499 """ +5500 if isinstance(value, Expression): +5501 return _maybe_copy(value, copy) +5502 if isinstance(value, str): +5503 return Literal.string(value) +5504 if isinstance(value, bool): +5505 return Boolean(this=value) +5506 if value is None or (isinstance(value, float) and math.isnan(value)): +5507 return NULL +5508 if isinstance(value, numbers.Number): +5509 return Literal.number(value) +5510 if isinstance(value, datetime.datetime): +5511 datetime_literal = Literal.string( +5512 (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat() +5513 ) +5514 return TimeStrToTime(this=datetime_literal) +5515 if isinstance(value, datetime.date): +5516 date_literal = Literal.string(value.strftime("%Y-%m-%d")) +5517 return DateStrToDate(this=date_literal) +5518 if isinstance(value, tuple): +5519 return Tuple(expressions=[convert(v, copy=copy) for v in value]) +5520 if isinstance(value, list): +5521 return Array(expressions=[convert(v, copy=copy) for v in value]) +5522 if isinstance(value, dict): +5523 return Map( +5524 keys=[convert(k, copy=copy) for k in value], +5525 values=[convert(v, copy=copy) for v in value.values()], +5526 ) +5527 raise ValueError(f"Cannot convert {value}") 5528 -5529 Note: -5530 The arguments `args` and `kwargs` are mutually exclusive. -5531 -5532 Returns: -5533 An instance of the function of interest, or an anonymous function, if `name` doesn't -5534 correspond to an existing `sqlglot.expressions.Func` class. -5535 """ -5536 if args and kwargs: -5537 raise ValueError("Can't use both args and kwargs to instantiate a function.") -5538 -5539 from sqlglot.dialects.dialect import Dialect -5540 -5541 converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args] -5542 kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()} -5543 -5544 parser = Dialect.get_or_raise(dialect)().parser() -5545 from_args_list = parser.FUNCTIONS.get(name.upper()) -5546 -5547 if from_args_list: -5548 function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs) # type: ignore -5549 else: -5550 kwargs = kwargs or {"expressions": converted} -5551 function = Anonymous(this=name, **kwargs) -5552 -5553 for error_message in function.error_messages(converted): -5554 raise ValueError(error_message) +5529 +5530def replace_children(expression: Expression, fun: t.Callable, *args, **kwargs) -> None: +5531 """ +5532 Replace children of an expression with the result of a lambda fun(child) -> exp. +5533 """ +5534 for k, v in expression.args.items(): +5535 is_list_arg = type(v) is list +5536 +5537 child_nodes = v if is_list_arg else [v] +5538 new_child_nodes = [] +5539 +5540 for cn in child_nodes: +5541 if isinstance(cn, Expression): +5542 for child_node in ensure_collection(fun(cn, *args, **kwargs)): +5543 new_child_nodes.append(child_node) +5544 child_node.parent = expression +5545 child_node.arg_key = k +5546 else: +5547 new_child_nodes.append(cn) +5548 +5549 expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0) +5550 +5551 +5552def column_table_names(expression: Expression) -> t.List[str]: +5553 """ +5554 Return all table names referenced through columns in an expression. 5555 -5556 return function -5557 -5558 -5559def true(): -5560 """ -5561 Returns a true Boolean expression. -5562 """ -5563 return Boolean(this=True) -5564 -5565 -5566def false(): -5567 """ -5568 Returns a false Boolean expression. -5569 """ -5570 return Boolean(this=False) -5571 +5556 Example: +5557 >>> import sqlglot +5558 >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")) +5559 ['c', 'a'] +5560 +5561 Args: +5562 expression: expression to find table names. +5563 +5564 Returns: +5565 A list of unique names. +5566 """ +5567 return list(dict.fromkeys(column.table for column in expression.find_all(Column))) +5568 +5569 +5570def table_name(table: Table | str) -> str: +5571 """Get the full name of a table as a string. 5572 -5573def null(): -5574 """ -5575 Returns a Null expression. -5576 """ -5577 return Null() -5578 -5579 -5580# TODO: deprecate this -5581TRUE = Boolean(this=True) -5582FALSE = Boolean(this=False) -5583NULL = Null() +5573 Args: +5574 table: table expression node or string. +5575 +5576 Examples: +5577 >>> from sqlglot import exp, parse_one +5578 >>> table_name(parse_one("select * from a.b.c").find(exp.Table)) +5579 'a.b.c' +5580 +5581 Returns: +5582 The table name. +5583 """ +5584 +5585 table = maybe_parse(table, into=Table) +5586 +5587 if not table: +5588 raise ValueError(f"Cannot parse {table}") +5589 +5590 return ".".join(part for part in (table.text("catalog"), table.text("db"), table.name) if part) +5591 +5592 +5593def replace_tables(expression: E, mapping: t.Dict[str, str]) -> E: +5594 """Replace all tables in expression according to the mapping. +5595 +5596 Args: +5597 expression: expression node to be transformed and replaced. +5598 mapping: mapping of table names. +5599 +5600 Examples: +5601 >>> from sqlglot import exp, parse_one +5602 >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql() +5603 'SELECT * FROM c' +5604 +5605 Returns: +5606 The mapped expression. +5607 """ +5608 +5609 def _replace_tables(node: Expression) -> Expression: +5610 if isinstance(node, Table): +5611 new_name = mapping.get(table_name(node)) +5612 if new_name: +5613 return to_table( +5614 new_name, +5615 **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")}, +5616 ) +5617 return node +5618 +5619 return expression.transform(_replace_tables) +5620 +5621 +5622def replace_placeholders(expression: Expression, *args, **kwargs) -> Expression: +5623 """Replace placeholders in an expression. +5624 +5625 Args: +5626 expression: expression node to be transformed and replaced. +5627 args: positional names that will substitute unnamed placeholders in the given order. +5628 kwargs: keyword arguments that will substitute named placeholders. +5629 +5630 Examples: +5631 >>> from sqlglot import exp, parse_one +5632 >>> replace_placeholders( +5633 ... parse_one("select * from :tbl where ? = ?"), +5634 ... exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo") +5635 ... ).sql() +5636 "SELECT * FROM foo WHERE str_col = 'b'" +5637 +5638 Returns: +5639 The mapped expression. +5640 """ +5641 +5642 def _replace_placeholders(node: Expression, args, **kwargs) -> Expression: +5643 if isinstance(node, Placeholder): +5644 if node.name: +5645 new_name = kwargs.get(node.name) +5646 if new_name: +5647 return convert(new_name) +5648 else: +5649 try: +5650 return convert(next(args)) +5651 except StopIteration: +5652 pass +5653 return node +5654 +5655 return expression.transform(_replace_placeholders, iter(args), **kwargs) +5656 +5657 +5658def expand( +5659 expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True +5660) -> Expression: +5661 """Transforms an expression by expanding all referenced sources into subqueries. +5662 +5663 Examples: +5664 >>> from sqlglot import parse_one +5665 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql() +5666 'SELECT * FROM (SELECT * FROM y) AS z /* source: x */' +5667 +5668 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql() +5669 'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */' +5670 +5671 Args: +5672 expression: The expression to expand. +5673 sources: A dictionary of name to Subqueryables. +5674 copy: Whether or not to copy the expression during transformation. Defaults to True. +5675 +5676 Returns: +5677 The transformed expression. +5678 """ +5679 +5680 def _expand(node: Expression): +5681 if isinstance(node, Table): +5682 name = table_name(node) +5683 source = sources.get(name) +5684 if source: +5685 subquery = source.subquery(node.alias or name) +5686 subquery.comments = [f"source: {name}"] +5687 return subquery.transform(_expand, copy=False) +5688 return node +5689 +5690 return expression.transform(_expand, copy=copy) +5691 +5692 +5693def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func: +5694 """ +5695 Returns a Func expression. +5696 +5697 Examples: +5698 >>> func("abs", 5).sql() +5699 'ABS(5)' +5700 +5701 >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql() +5702 'CAST(5 AS DOUBLE)' +5703 +5704 Args: +5705 name: the name of the function to build. +5706 args: the args used to instantiate the function of interest. +5707 dialect: the source dialect. +5708 kwargs: the kwargs used to instantiate the function of interest. +5709 +5710 Note: +5711 The arguments `args` and `kwargs` are mutually exclusive. +5712 +5713 Returns: +5714 An instance of the function of interest, or an anonymous function, if `name` doesn't +5715 correspond to an existing `sqlglot.expressions.Func` class. +5716 """ +5717 if args and kwargs: +5718 raise ValueError("Can't use both args and kwargs to instantiate a function.") +5719 +5720 from sqlglot.dialects.dialect import Dialect +5721 +5722 converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args] +5723 kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()} +5724 +5725 parser = Dialect.get_or_raise(dialect)().parser() +5726 from_args_list = parser.FUNCTIONS.get(name.upper()) +5727 +5728 if from_args_list: +5729 function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs) # type: ignore +5730 else: +5731 kwargs = kwargs or {"expressions": converted} +5732 function = Anonymous(this=name, **kwargs) +5733 +5734 for error_message in function.error_messages(converted): +5735 raise ValueError(error_message) +5736 +5737 return function +5738 +5739 +5740def true() -> Boolean: +5741 """ +5742 Returns a true Boolean expression. +5743 """ +5744 return Boolean(this=True) +5745 +5746 +5747def false() -> Boolean: +5748 """ +5749 Returns a false Boolean expression. +5750 """ +5751 return Boolean(this=False) +5752 +5753 +5754def null() -> Null: +5755 """ +5756 Returns a Null expression. +5757 """ +5758 return Null() +5759 +5760 +5761# TODO: deprecate this +5762TRUE = Boolean(this=True) +5763FALSE = Boolean(this=False) +5764NULL = Null() @@ -8778,598 +8965,608 @@

    API Documentation

    - 
     56class Expression(metaclass=_Expression):
- 57    """
- 58    The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary
- 59    context, such as its child expressions, their names (arg keys), and whether a given child expression
- 60    is optional or not.
- 61
- 62    Attributes:
- 63        key: a unique key for each class in the Expression hierarchy. This is useful for hashing
- 64            and representing expressions as strings.
- 65        arg_types: determines what arguments (child nodes) are supported by an expression. It
- 66            maps arg keys to booleans that indicate whether the corresponding args are optional.
- 67        parent: a reference to the parent expression (or None, in case of root expressions).
- 68        arg_key: the arg key an expression is associated with, i.e. the name its parent expression
- 69            uses to refer to it.
- 70        comments: a list of comments that are associated with a given expression. This is used in
- 71            order to preserve comments when transpiling SQL code.
- 72        _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the
- 73            optimizer, in order to enable some transformations that require type information.
- 74
- 75    Example:
- 76        >>> class Foo(Expression):
- 77        ...     arg_types = {"this": True, "expression": False}
- 78
- 79        The above definition informs us that Foo is an Expression that requires an argument called
- 80        "this" and may also optionally receive an argument called "expression".
- 81
- 82    Args:
- 83        args: a mapping used for retrieving the arguments of an expression, given their arg keys.
- 84    """
- 85
- 86    key = "expression"
- 87    arg_types = {"this": True}
- 88    __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta", "_hash")
- 89
- 90    def __init__(self, **args: t.Any):
- 91        self.args: t.Dict[str, t.Any] = args
- 92        self.parent: t.Optional[Expression] = None
- 93        self.arg_key: t.Optional[str] = None
- 94        self.comments: t.Optional[t.List[str]] = None
- 95        self._type: t.Optional[DataType] = None
- 96        self._meta: t.Optional[t.Dict[str, t.Any]] = None
- 97        self._hash: t.Optional[int] = None
- 98
- 99        for arg_key, value in self.args.items():
-100            self._set_parent(arg_key, value)
-101
-102    def __eq__(self, other) -> bool:
-103        return type(self) is type(other) and hash(self) == hash(other)
-104
-105    @property
-106    def hashable_args(self) -> t.Any:
-107        args = (self.args.get(k) for k in self.arg_types)
-108
-109        return tuple(
-110            (tuple(_norm_arg(a) for a in arg) if arg else None)
-111            if type(arg) is list
-112            else (_norm_arg(arg) if arg is not None and arg is not False else None)
-113            for arg in args
-114        )
-115
-116    def __hash__(self) -> int:
-117        if self._hash is not None:
-118            return self._hash
-119
-120        return hash((self.__class__, self.hashable_args))
-121
-122    @property
-123    def this(self):
-124        """
-125        Retrieves the argument with key "this".
-126        """
-127        return self.args.get("this")
-128
-129    @property
-130    def expression(self):
-131        """
-132        Retrieves the argument with key "expression".
-133        """
-134        return self.args.get("expression")
-135
-136    @property
-137    def expressions(self):
-138        """
-139        Retrieves the argument with key "expressions".
-140        """
-141        return self.args.get("expressions") or []
-142
-143    def text(self, key) -> str:
-144        """
-145        Returns a textual representation of the argument corresponding to "key". This can only be used
-146        for args that are strings or leaf Expression instances, such as identifiers and literals.
-147        """
-148        field = self.args.get(key)
-149        if isinstance(field, str):
-150            return field
-151        if isinstance(field, (Identifier, Literal, Var)):
-152            return field.this
-153        if isinstance(field, (Star, Null)):
-154            return field.name
-155        return ""
-156
-157    @property
-158    def is_string(self) -> bool:
-159        """
-160        Checks whether a Literal expression is a string.
-161        """
-162        return isinstance(self, Literal) and self.args["is_string"]
-163
-164    @property
-165    def is_number(self) -> bool:
-166        """
-167        Checks whether a Literal expression is a number.
-168        """
-169        return isinstance(self, Literal) and not self.args["is_string"]
-170
-171    @property
-172    def is_int(self) -> bool:
-173        """
-174        Checks whether a Literal expression is an integer.
-175        """
-176        if self.is_number:
-177            try:
-178                int(self.name)
-179                return True
-180            except ValueError:
-181                pass
-182        return False
-183
-184    @property
-185    def is_star(self) -> bool:
-186        """Checks whether an expression is a star."""
-187        return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star))
-188
-189    @property
-190    def alias(self) -> str:
-191        """
-192        Returns the alias of the expression, or an empty string if it's not aliased.
-193        """
-194        if isinstance(self.args.get("alias"), TableAlias):
-195            return self.args["alias"].name
-196        return self.text("alias")
-197
-198    @property
-199    def name(self) -> str:
-200        return self.text("this")
-201
-202    @property
-203    def alias_or_name(self):
-204        return self.alias or self.name
-205
-206    @property
-207    def output_name(self):
-208        """
-209        Name of the output column if this expression is a selection.
-210
-211        If the Expression has no output name, an empty string is returned.
-212
-213        Example:
-214            >>> from sqlglot import parse_one
-215            >>> parse_one("SELECT a").expressions[0].output_name
-216            'a'
-217            >>> parse_one("SELECT b AS c").expressions[0].output_name
-218            'c'
-219            >>> parse_one("SELECT 1 + 2").expressions[0].output_name
-220            ''
-221        """
-222        return ""
-223
-224    @property
-225    def type(self) -> t.Optional[DataType]:
-226        return self._type
-227
-228    @type.setter
-229    def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None:
-230        if dtype and not isinstance(dtype, DataType):
-231            dtype = DataType.build(dtype)
-232        self._type = dtype  # type: ignore
-233
-234    @property
-235    def meta(self) -> t.Dict[str, t.Any]:
-236        if self._meta is None:
-237            self._meta = {}
-238        return self._meta
-239
-240    def __deepcopy__(self, memo):
-241        copy = self.__class__(**deepcopy(self.args))
-242        if self.comments is not None:
-243            copy.comments = deepcopy(self.comments)
-244
-245        if self._type is not None:
-246            copy._type = self._type.copy()
-247
-248        if self._meta is not None:
-249            copy._meta = deepcopy(self._meta)
-250
-251        return copy
-252
-253    def copy(self):
-254        """
-255        Returns a deep copy of the expression.
-256        """
-257        new = deepcopy(self)
-258        new.parent = self.parent
-259        return new
-260
-261    def add_comments(self, comments: t.Optional[t.List[str]]) -> None:
-262        if self.comments is None:
-263            self.comments = []
-264        if comments:
-265            self.comments.extend(comments)
-266
-267    def append(self, arg_key, value):
-268        """
-269        Appends value to arg_key if it's a list or sets it as a new list.
-270
-271        Args:
-272            arg_key (str): name of the list expression arg
-273            value (Any): value to append to the list
-274        """
-275        if not isinstance(self.args.get(arg_key), list):
-276            self.args[arg_key] = []
-277        self.args[arg_key].append(value)
-278        self._set_parent(arg_key, value)
-279
-280    def set(self, arg_key, value):
-281        """
-282        Sets `arg_key` to `value`.
-283
-284        Args:
-285            arg_key (str): name of the expression arg.
-286            value: value to set the arg to.
-287        """
-288        self.args[arg_key] = value
-289        self._set_parent(arg_key, value)
-290
-291    def _set_parent(self, arg_key, value):
-292        if hasattr(value, "parent"):
-293            value.parent = self
-294            value.arg_key = arg_key
-295        elif type(value) is list:
-296            for v in value:
-297                if hasattr(v, "parent"):
-298                    v.parent = self
-299                    v.arg_key = arg_key
-300
-301    @property
-302    def depth(self):
-303        """
-304        Returns the depth of this tree.
-305        """
-306        if self.parent:
-307            return self.parent.depth + 1
-308        return 0
-309
-310    def iter_expressions(self) -> t.Iterator[t.Tuple[str, Expression]]:
-311        """Yields the key and expression for all arguments, exploding list args."""
-312        for k, vs in self.args.items():
-313            if type(vs) is list:
-314                for v in vs:
-315                    if hasattr(v, "parent"):
-316                        yield k, v
-317            else:
-318                if hasattr(vs, "parent"):
-319                    yield k, vs
-320
-321    def find(self, *expression_types: t.Type[E], bfs=True) -> E | None:
-322        """
-323        Returns the first node in this tree which matches at least one of
-324        the specified types.
-325
-326        Args:
-327            expression_types: the expression type(s) to match.
+            
     55class Expression(metaclass=_Expression):
+ 56    """
+ 57    The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary
+ 58    context, such as its child expressions, their names (arg keys), and whether a given child expression
+ 59    is optional or not.
+ 60
+ 61    Attributes:
+ 62        key: a unique key for each class in the Expression hierarchy. This is useful for hashing
+ 63            and representing expressions as strings.
+ 64        arg_types: determines what arguments (child nodes) are supported by an expression. It
+ 65            maps arg keys to booleans that indicate whether the corresponding args are optional.
+ 66        parent: a reference to the parent expression (or None, in case of root expressions).
+ 67        arg_key: the arg key an expression is associated with, i.e. the name its parent expression
+ 68            uses to refer to it.
+ 69        comments: a list of comments that are associated with a given expression. This is used in
+ 70            order to preserve comments when transpiling SQL code.
+ 71        _type: the `sqlglot.expressions.DataType` type of an expression. This is inferred by the
+ 72            optimizer, in order to enable some transformations that require type information.
+ 73
+ 74    Example:
+ 75        >>> class Foo(Expression):
+ 76        ...     arg_types = {"this": True, "expression": False}
+ 77
+ 78        The above definition informs us that Foo is an Expression that requires an argument called
+ 79        "this" and may also optionally receive an argument called "expression".
+ 80
+ 81    Args:
+ 82        args: a mapping used for retrieving the arguments of an expression, given their arg keys.
+ 83    """
+ 84
+ 85    key = "expression"
+ 86    arg_types = {"this": True}
+ 87    __slots__ = ("args", "parent", "arg_key", "comments", "_type", "_meta", "_hash")
+ 88
+ 89    def __init__(self, **args: t.Any):
+ 90        self.args: t.Dict[str, t.Any] = args
+ 91        self.parent: t.Optional[Expression] = None
+ 92        self.arg_key: t.Optional[str] = None
+ 93        self.comments: t.Optional[t.List[str]] = None
+ 94        self._type: t.Optional[DataType] = None
+ 95        self._meta: t.Optional[t.Dict[str, t.Any]] = None
+ 96        self._hash: t.Optional[int] = None
+ 97
+ 98        for arg_key, value in self.args.items():
+ 99            self._set_parent(arg_key, value)
+100
+101    def __eq__(self, other) -> bool:
+102        return type(self) is type(other) and hash(self) == hash(other)
+103
+104    @property
+105    def hashable_args(self) -> t.Any:
+106        args = (self.args.get(k) for k in self.arg_types)
+107
+108        return tuple(
+109            (tuple(_norm_arg(a) for a in arg) if arg else None)
+110            if type(arg) is list
+111            else (_norm_arg(arg) if arg is not None and arg is not False else None)
+112            for arg in args
+113        )
+114
+115    def __hash__(self) -> int:
+116        if self._hash is not None:
+117            return self._hash
+118
+119        return hash((self.__class__, self.hashable_args))
+120
+121    @property
+122    def this(self):
+123        """
+124        Retrieves the argument with key "this".
+125        """
+126        return self.args.get("this")
+127
+128    @property
+129    def expression(self):
+130        """
+131        Retrieves the argument with key "expression".
+132        """
+133        return self.args.get("expression")
+134
+135    @property
+136    def expressions(self):
+137        """
+138        Retrieves the argument with key "expressions".
+139        """
+140        return self.args.get("expressions") or []
+141
+142    def text(self, key) -> str:
+143        """
+144        Returns a textual representation of the argument corresponding to "key". This can only be used
+145        for args that are strings or leaf Expression instances, such as identifiers and literals.
+146        """
+147        field = self.args.get(key)
+148        if isinstance(field, str):
+149            return field
+150        if isinstance(field, (Identifier, Literal, Var)):
+151            return field.this
+152        if isinstance(field, (Star, Null)):
+153            return field.name
+154        return ""
+155
+156    @property
+157    def is_string(self) -> bool:
+158        """
+159        Checks whether a Literal expression is a string.
+160        """
+161        return isinstance(self, Literal) and self.args["is_string"]
+162
+163    @property
+164    def is_number(self) -> bool:
+165        """
+166        Checks whether a Literal expression is a number.
+167        """
+168        return isinstance(self, Literal) and not self.args["is_string"]
+169
+170    @property
+171    def is_int(self) -> bool:
+172        """
+173        Checks whether a Literal expression is an integer.
+174        """
+175        if self.is_number:
+176            try:
+177                int(self.name)
+178                return True
+179            except ValueError:
+180                pass
+181        return False
+182
+183    @property
+184    def is_star(self) -> bool:
+185        """Checks whether an expression is a star."""
+186        return isinstance(self, Star) or (isinstance(self, Column) and isinstance(self.this, Star))
+187
+188    @property
+189    def alias(self) -> str:
+190        """
+191        Returns the alias of the expression, or an empty string if it's not aliased.
+192        """
+193        if isinstance(self.args.get("alias"), TableAlias):
+194            return self.args["alias"].name
+195        return self.text("alias")
+196
+197    @property
+198    def name(self) -> str:
+199        return self.text("this")
+200
+201    @property
+202    def alias_or_name(self) -> str:
+203        return self.alias or self.name
+204
+205    @property
+206    def output_name(self) -> str:
+207        """
+208        Name of the output column if this expression is a selection.
+209
+210        If the Expression has no output name, an empty string is returned.
+211
+212        Example:
+213            >>> from sqlglot import parse_one
+214            >>> parse_one("SELECT a").expressions[0].output_name
+215            'a'
+216            >>> parse_one("SELECT b AS c").expressions[0].output_name
+217            'c'
+218            >>> parse_one("SELECT 1 + 2").expressions[0].output_name
+219            ''
+220        """
+221        return ""
+222
+223    @property
+224    def type(self) -> t.Optional[DataType]:
+225        return self._type
+226
+227    @type.setter
+228    def type(self, dtype: t.Optional[DataType | DataType.Type | str]) -> None:
+229        if dtype and not isinstance(dtype, DataType):
+230            dtype = DataType.build(dtype)
+231        self._type = dtype  # type: ignore
+232
+233    @property
+234    def meta(self) -> t.Dict[str, t.Any]:
+235        if self._meta is None:
+236            self._meta = {}
+237        return self._meta
+238
+239    def __deepcopy__(self, memo):
+240        copy = self.__class__(**deepcopy(self.args))
+241        if self.comments is not None:
+242            copy.comments = deepcopy(self.comments)
+243
+244        if self._type is not None:
+245            copy._type = self._type.copy()
+246
+247        if self._meta is not None:
+248            copy._meta = deepcopy(self._meta)
+249
+250        return copy
+251
+252    def copy(self):
+253        """
+254        Returns a deep copy of the expression.
+255        """
+256        new = deepcopy(self)
+257        new.parent = self.parent
+258        return new
+259
+260    def add_comments(self, comments: t.Optional[t.List[str]]) -> None:
+261        if self.comments is None:
+262            self.comments = []
+263        if comments:
+264            self.comments.extend(comments)
+265
+266    def append(self, arg_key: str, value: t.Any) -> None:
+267        """
+268        Appends value to arg_key if it's a list or sets it as a new list.
+269
+270        Args:
+271            arg_key (str): name of the list expression arg
+272            value (Any): value to append to the list
+273        """
+274        if not isinstance(self.args.get(arg_key), list):
+275            self.args[arg_key] = []
+276        self.args[arg_key].append(value)
+277        self._set_parent(arg_key, value)
+278
+279    def set(self, arg_key: str, value: t.Any) -> None:
+280        """
+281        Sets `arg_key` to `value`.
+282
+283        Args:
+284            arg_key (str): name of the expression arg.
+285            value: value to set the arg to.
+286        """
+287        self.args[arg_key] = value
+288        self._set_parent(arg_key, value)
+289
+290    def _set_parent(self, arg_key: str, value: t.Any) -> None:
+291        if hasattr(value, "parent"):
+292            value.parent = self
+293            value.arg_key = arg_key
+294        elif type(value) is list:
+295            for v in value:
+296                if hasattr(v, "parent"):
+297                    v.parent = self
+298                    v.arg_key = arg_key
+299
+300    @property
+301    def depth(self) -> int:
+302        """
+303        Returns the depth of this tree.
+304        """
+305        if self.parent:
+306            return self.parent.depth + 1
+307        return 0
+308
+309    def iter_expressions(self) -> t.Iterator[t.Tuple[str, Expression]]:
+310        """Yields the key and expression for all arguments, exploding list args."""
+311        for k, vs in self.args.items():
+312            if type(vs) is list:
+313                for v in vs:
+314                    if hasattr(v, "parent"):
+315                        yield k, v
+316            else:
+317                if hasattr(vs, "parent"):
+318                    yield k, vs
+319
+320    def find(self, *expression_types: t.Type[E], bfs: bool = True) -> t.Optional[E]:
+321        """
+322        Returns the first node in this tree which matches at least one of
+323        the specified types.
+324
+325        Args:
+326            expression_types: the expression type(s) to match.
+327            bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
 328
 329        Returns:
 330            The node which matches the criteria or None if no such node was found.
 331        """
 332        return next(self.find_all(*expression_types, bfs=bfs), None)
 333
-334    def find_all(self, *expression_types: t.Type[E], bfs=True) -> t.Iterator[E]:
+334    def find_all(self, *expression_types: t.Type[E], bfs: bool = True) -> t.Iterator[E]:
 335        """
 336        Returns a generator object which visits all nodes in this tree and only
 337        yields those that match at least one of the specified expression types.
 338
 339        Args:
 340            expression_types: the expression type(s) to match.
-341
-342        Returns:
-343            The generator object.
-344        """
-345        for expression, *_ in self.walk(bfs=bfs):
-346            if isinstance(expression, expression_types):
-347                yield expression
-348
-349    def find_ancestor(self, *expression_types: t.Type[E]) -> E | None:
-350        """
-351        Returns a nearest parent matching expression_types.
-352
-353        Args:
-354            expression_types: the expression type(s) to match.
-355
-356        Returns:
-357            The parent node.
-358        """
-359        ancestor = self.parent
-360        while ancestor and not isinstance(ancestor, expression_types):
-361            ancestor = ancestor.parent
-362        return t.cast(E, ancestor)
-363
-364    @property
-365    def parent_select(self):
-366        """
-367        Returns the parent select statement.
-368        """
-369        return self.find_ancestor(Select)
-370
-371    @property
-372    def same_parent(self):
-373        """Returns if the parent is the same class as itself."""
-374        return type(self.parent) is self.__class__
-375
-376    def root(self) -> Expression:
-377        """
-378        Returns the root expression of this tree.
-379        """
-380        expression = self
-381        while expression.parent:
-382            expression = expression.parent
-383        return expression
-384
-385    def walk(self, bfs=True, prune=None):
-386        """
-387        Returns a generator object which visits all nodes in this tree.
-388
-389        Args:
-390            bfs (bool): if set to True the BFS traversal order will be applied,
-391                otherwise the DFS traversal will be used instead.
-392            prune ((node, parent, arg_key) -> bool): callable that returns True if
-393                the generator should stop traversing this branch of the tree.
-394
-395        Returns:
-396            the generator object.
-397        """
-398        if bfs:
-399            yield from self.bfs(prune=prune)
-400        else:
-401            yield from self.dfs(prune=prune)
-402
-403    def dfs(self, parent=None, key=None, prune=None):
-404        """
-405        Returns a generator object which visits all nodes in this tree in
-406        the DFS (Depth-first) order.
-407
-408        Returns:
-409            The generator object.
-410        """
-411        parent = parent or self.parent
-412        yield self, parent, key
-413        if prune and prune(self, parent, key):
-414            return
-415
-416        for k, v in self.iter_expressions():
-417            yield from v.dfs(self, k, prune)
-418
-419    def bfs(self, prune=None):
-420        """
-421        Returns a generator object which visits all nodes in this tree in
-422        the BFS (Breadth-first) order.
-423
-424        Returns:
-425            The generator object.
-426        """
-427        queue = deque([(self, self.parent, None)])
-428
-429        while queue:
-430            item, parent, key = queue.popleft()
-431
-432            yield item, parent, key
-433            if prune and prune(item, parent, key):
-434                continue
-435
-436            for k, v in item.iter_expressions():
-437                queue.append((v, item, k))
-438
-439    def unnest(self):
-440        """
-441        Returns the first non parenthesis child or self.
-442        """
-443        expression = self
-444        while type(expression) is Paren:
-445            expression = expression.this
-446        return expression
-447
-448    def unalias(self):
-449        """
-450        Returns the inner expression if this is an Alias.
-451        """
-452        if isinstance(self, Alias):
-453            return self.this
-454        return self
-455
-456    def unnest_operands(self):
-457        """
-458        Returns unnested operands as a tuple.
-459        """
-460        return tuple(arg.unnest() for _, arg in self.iter_expressions())
-461
-462    def flatten(self, unnest=True):
-463        """
-464        Returns a generator which yields child nodes who's parents are the same class.
-465
-466        A AND B AND C -> [A, B, C]
-467        """
-468        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not type(n) is self.__class__):
-469            if not type(node) is self.__class__:
-470                yield node.unnest() if unnest else node
-471
-472    def __str__(self):
-473        return self.sql()
-474
-475    def __repr__(self):
-476        return self._to_s()
-477
-478    def sql(self, dialect: DialectType = None, **opts) -> str:
-479        """
-480        Returns SQL string representation of this tree.
-481
-482        Args:
-483            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
-484            opts: other `sqlglot.generator.Generator` options.
-485
-486        Returns:
-487            The SQL string.
-488        """
-489        from sqlglot.dialects import Dialect
-490
-491        return Dialect.get_or_raise(dialect)().generate(self, **opts)
-492
-493    def _to_s(self, hide_missing: bool = True, level: int = 0) -> str:
-494        indent = "" if not level else "\n"
-495        indent += "".join(["  "] * level)
-496        left = f"({self.key.upper()} "
-497
-498        args: t.Dict[str, t.Any] = {
-499            k: ", ".join(
-500                v._to_s(hide_missing=hide_missing, level=level + 1)
-501                if hasattr(v, "_to_s")
-502                else str(v)
-503                for v in ensure_list(vs)
-504                if v is not None
-505            )
-506            for k, vs in self.args.items()
-507        }
-508        args["comments"] = self.comments
-509        args["type"] = self.type
-510        args = {k: v for k, v in args.items() if v or not hide_missing}
-511
-512        right = ", ".join(f"{k}: {v}" for k, v in args.items())
-513        right += ")"
-514
-515        return indent + left + right
-516
-517    def transform(self, fun, *args, copy=True, **kwargs):
-518        """
-519        Recursively visits all tree nodes (excluding already transformed ones)
-520        and applies the given transformation function to each node.
-521
-522        Args:
-523            fun (function): a function which takes a node as an argument and returns a
-524                new transformed node or the same node without modifications. If the function
-525                returns None, then the corresponding node will be removed from the syntax tree.
-526            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
-527                modified in place.
-528
-529        Returns:
-530            The transformed tree.
-531        """
-532        node = self.copy() if copy else self
-533        new_node = fun(node, *args, **kwargs)
-534
-535        if new_node is None or not isinstance(new_node, Expression):
-536            return new_node
-537        if new_node is not node:
-538            new_node.parent = node.parent
-539            return new_node
-540
-541        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
-542        return new_node
-543
-544    def replace(self, expression):
-545        """
-546        Swap out this expression with a new expression.
-547
-548        For example::
-549
-550            >>> tree = Select().select("x").from_("tbl")
-551            >>> tree.find(Column).replace(Column(this="y"))
-552            (COLUMN this: y)
-553            >>> tree.sql()
-554            'SELECT y FROM tbl'
-555
-556        Args:
-557            expression (Expression|None): new node
+341            bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
+342
+343        Returns:
+344            The generator object.
+345        """
+346        for expression, *_ in self.walk(bfs=bfs):
+347            if isinstance(expression, expression_types):
+348                yield expression
+349
+350    def find_ancestor(self, *expression_types: t.Type[E]) -> t.Optional[E]:
+351        """
+352        Returns a nearest parent matching expression_types.
+353
+354        Args:
+355            expression_types: the expression type(s) to match.
+356
+357        Returns:
+358            The parent node.
+359        """
+360        ancestor = self.parent
+361        while ancestor and not isinstance(ancestor, expression_types):
+362            ancestor = ancestor.parent
+363        return t.cast(E, ancestor)
+364
+365    @property
+366    def parent_select(self) -> t.Optional[Select]:
+367        """
+368        Returns the parent select statement.
+369        """
+370        return self.find_ancestor(Select)
+371
+372    @property
+373    def same_parent(self) -> bool:
+374        """Returns if the parent is the same class as itself."""
+375        return type(self.parent) is self.__class__
+376
+377    def root(self) -> Expression:
+378        """
+379        Returns the root expression of this tree.
+380        """
+381        expression = self
+382        while expression.parent:
+383            expression = expression.parent
+384        return expression
+385
+386    def walk(self, bfs=True, prune=None):
+387        """
+388        Returns a generator object which visits all nodes in this tree.
+389
+390        Args:
+391            bfs (bool): if set to True the BFS traversal order will be applied,
+392                otherwise the DFS traversal will be used instead.
+393            prune ((node, parent, arg_key) -> bool): callable that returns True if
+394                the generator should stop traversing this branch of the tree.
+395
+396        Returns:
+397            the generator object.
+398        """
+399        if bfs:
+400            yield from self.bfs(prune=prune)
+401        else:
+402            yield from self.dfs(prune=prune)
+403
+404    def dfs(self, parent=None, key=None, prune=None):
+405        """
+406        Returns a generator object which visits all nodes in this tree in
+407        the DFS (Depth-first) order.
+408
+409        Returns:
+410            The generator object.
+411        """
+412        parent = parent or self.parent
+413        yield self, parent, key
+414        if prune and prune(self, parent, key):
+415            return
+416
+417        for k, v in self.iter_expressions():
+418            yield from v.dfs(self, k, prune)
+419
+420    def bfs(self, prune=None):
+421        """
+422        Returns a generator object which visits all nodes in this tree in
+423        the BFS (Breadth-first) order.
+424
+425        Returns:
+426            The generator object.
+427        """
+428        queue = deque([(self, self.parent, None)])
+429
+430        while queue:
+431            item, parent, key = queue.popleft()
+432
+433            yield item, parent, key
+434            if prune and prune(item, parent, key):
+435                continue
+436
+437            for k, v in item.iter_expressions():
+438                queue.append((v, item, k))
+439
+440    def unnest(self):
+441        """
+442        Returns the first non parenthesis child or self.
+443        """
+444        expression = self
+445        while type(expression) is Paren:
+446            expression = expression.this
+447        return expression
+448
+449    def unalias(self):
+450        """
+451        Returns the inner expression if this is an Alias.
+452        """
+453        if isinstance(self, Alias):
+454            return self.this
+455        return self
+456
+457    def unnest_operands(self):
+458        """
+459        Returns unnested operands as a tuple.
+460        """
+461        return tuple(arg.unnest() for _, arg in self.iter_expressions())
+462
+463    def flatten(self, unnest=True):
+464        """
+465        Returns a generator which yields child nodes who's parents are the same class.
+466
+467        A AND B AND C -> [A, B, C]
+468        """
+469        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not type(n) is self.__class__):
+470            if not type(node) is self.__class__:
+471                yield node.unnest() if unnest else node
+472
+473    def __str__(self) -> str:
+474        return self.sql()
+475
+476    def __repr__(self) -> str:
+477        return self._to_s()
+478
+479    def sql(self, dialect: DialectType = None, **opts) -> str:
+480        """
+481        Returns SQL string representation of this tree.
+482
+483        Args:
+484            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
+485            opts: other `sqlglot.generator.Generator` options.
+486
+487        Returns:
+488            The SQL string.
+489        """
+490        from sqlglot.dialects import Dialect
+491
+492        return Dialect.get_or_raise(dialect)().generate(self, **opts)
+493
+494    def _to_s(self, hide_missing: bool = True, level: int = 0) -> str:
+495        indent = "" if not level else "\n"
+496        indent += "".join(["  "] * level)
+497        left = f"({self.key.upper()} "
+498
+499        args: t.Dict[str, t.Any] = {
+500            k: ", ".join(
+501                v._to_s(hide_missing=hide_missing, level=level + 1)
+502                if hasattr(v, "_to_s")
+503                else str(v)
+504                for v in ensure_list(vs)
+505                if v is not None
+506            )
+507            for k, vs in self.args.items()
+508        }
+509        args["comments"] = self.comments
+510        args["type"] = self.type
+511        args = {k: v for k, v in args.items() if v or not hide_missing}
+512
+513        right = ", ".join(f"{k}: {v}" for k, v in args.items())
+514        right += ")"
+515
+516        return indent + left + right
+517
+518    def transform(self, fun, *args, copy=True, **kwargs):
+519        """
+520        Recursively visits all tree nodes (excluding already transformed ones)
+521        and applies the given transformation function to each node.
+522
+523        Args:
+524            fun (function): a function which takes a node as an argument and returns a
+525                new transformed node or the same node without modifications. If the function
+526                returns None, then the corresponding node will be removed from the syntax tree.
+527            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
+528                modified in place.
+529
+530        Returns:
+531            The transformed tree.
+532        """
+533        node = self.copy() if copy else self
+534        new_node = fun(node, *args, **kwargs)
+535
+536        if new_node is None or not isinstance(new_node, Expression):
+537            return new_node
+538        if new_node is not node:
+539            new_node.parent = node.parent
+540            return new_node
+541
+542        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
+543        return new_node
+544
+545    @t.overload
+546    def replace(self, expression: E) -> E:
+547        ...
+548
+549    @t.overload
+550    def replace(self, expression: None) -> None:
+551        ...
+552
+553    def replace(self, expression):
+554        """
+555        Swap out this expression with a new expression.
+556
+557        For example::
 558
-559        Returns:
-560            The new expression or expressions.
-561        """
-562        if not self.parent:
-563            return expression
+559            >>> tree = Select().select("x").from_("tbl")
+560            >>> tree.find(Column).replace(Column(this="y"))
+561            (COLUMN this: y)
+562            >>> tree.sql()
+563            'SELECT y FROM tbl'
 564
-565        parent = self.parent
-566        self.parent = None
+565        Args:
+566            expression: new node
 567
-568        replace_children(parent, lambda child: expression if child is self else child)
-569        return expression
-570
-571    def pop(self):
-572        """
-573        Remove this expression from its AST.
-574
-575        Returns:
-576            The popped expression.
-577        """
-578        self.replace(None)
-579        return self
-580
-581    def assert_is(self, type_):
-582        """
-583        Assert that this `Expression` is an instance of `type_`.
-584
-585        If it is NOT an instance of `type_`, this raises an assertion error.
-586        Otherwise, this returns this expression.
-587
-588        Examples:
-589            This is useful for type security in chained expressions:
-590
-591            >>> import sqlglot
-592            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
-593            'SELECT x, z FROM y'
-594        """
-595        assert isinstance(self, type_)
-596        return self
-597
-598    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
-599        """
-600        Checks if this expression is valid (e.g. all mandatory args are set).
-601
-602        Args:
-603            args: a sequence of values that were used to instantiate a Func expression. This is used
-604                to check that the provided arguments don't exceed the function argument limit.
-605
-606        Returns:
-607            A list of error messages for all possible errors that were found.
-608        """
-609        errors: t.List[str] = []
+568        Returns:
+569            The new expression or expressions.
+570        """
+571        if not self.parent:
+572            return expression
+573
+574        parent = self.parent
+575        self.parent = None
+576
+577        replace_children(parent, lambda child: expression if child is self else child)
+578        return expression
+579
+580    def pop(self: E) -> E:
+581        """
+582        Remove this expression from its AST.
+583
+584        Returns:
+585            The popped expression.
+586        """
+587        self.replace(None)
+588        return self
+589
+590    def assert_is(self, type_: t.Type[E]) -> E:
+591        """
+592        Assert that this `Expression` is an instance of `type_`.
+593
+594        If it is NOT an instance of `type_`, this raises an assertion error.
+595        Otherwise, this returns this expression.
+596
+597        Examples:
+598            This is useful for type security in chained expressions:
+599
+600            >>> import sqlglot
+601            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
+602            'SELECT x, z FROM y'
+603        """
+604        assert isinstance(self, type_)
+605        return self
+606
+607    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
+608        """
+609        Checks if this expression is valid (e.g. all mandatory args are set).
 610
-611        for k in self.args:
-612            if k not in self.arg_types:
-613                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
-614        for k, mandatory in self.arg_types.items():
-615            v = self.args.get(k)
-616            if mandatory and (v is None or (isinstance(v, list) and not v)):
-617                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
-618
-619        if (
-620            args
-621            and isinstance(self, Func)
-622            and len(args) > len(self.arg_types)
-623            and not self.is_var_len_args
-624        ):
-625            errors.append(
-626                f"The number of provided arguments ({len(args)}) is greater than "
-627                f"the maximum number of supported arguments ({len(self.arg_types)})"
-628            )
-629
-630        return errors
-631
-632    def dump(self):
-633        """
-634        Dump this Expression to a JSON-serializable dict.
-635        """
-636        from sqlglot.serde import dump
-637
-638        return dump(self)
-639
-640    @classmethod
-641    def load(cls, obj):
+611        Args:
+612            args: a sequence of values that were used to instantiate a Func expression. This is used
+613                to check that the provided arguments don't exceed the function argument limit.
+614
+615        Returns:
+616            A list of error messages for all possible errors that were found.
+617        """
+618        errors: t.List[str] = []
+619
+620        for k in self.args:
+621            if k not in self.arg_types:
+622                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
+623        for k, mandatory in self.arg_types.items():
+624            v = self.args.get(k)
+625            if mandatory and (v is None or (isinstance(v, list) and not v)):
+626                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
+627
+628        if (
+629            args
+630            and isinstance(self, Func)
+631            and len(args) > len(self.arg_types)
+632            and not self.is_var_len_args
+633        ):
+634            errors.append(
+635                f"The number of provided arguments ({len(args)}) is greater than "
+636                f"the maximum number of supported arguments ({len(self.arg_types)})"
+637            )
+638
+639        return errors
+640
+641    def dump(self):
 642        """
-643        Load a dict (as returned by `Expression.dump`) into an Expression instance.
+643        Dump this Expression to a JSON-serializable dict.
 644        """
-645        from sqlglot.serde import load
+645        from sqlglot.serde import dump
 646
-647        return load(obj)
+647        return dump(self)
+648
+649    @classmethod
+650    def load(cls, obj):
+651        """
+652        Load a dict (as returned by `Expression.dump`) into an Expression instance.
+653        """
+654        from sqlglot.serde import load
+655
+656        return load(obj)
 
    
 
 
@@ -9424,17 +9621,17 @@ 
    Arguments:
    - 
     90    def __init__(self, **args: t.Any):
- 91        self.args: t.Dict[str, t.Any] = args
- 92        self.parent: t.Optional[Expression] = None
- 93        self.arg_key: t.Optional[str] = None
- 94        self.comments: t.Optional[t.List[str]] = None
- 95        self._type: t.Optional[DataType] = None
- 96        self._meta: t.Optional[t.Dict[str, t.Any]] = None
- 97        self._hash: t.Optional[int] = None
- 98
- 99        for arg_key, value in self.args.items():
-100            self._set_parent(arg_key, value)
+            
    89    def __init__(self, **args: t.Any):
+90        self.args: t.Dict[str, t.Any] = args
+91        self.parent: t.Optional[Expression] = None
+92        self.arg_key: t.Optional[str] = None
+93        self.comments: t.Optional[t.List[str]] = None
+94        self._type: t.Optional[DataType] = None
+95        self._meta: t.Optional[t.Dict[str, t.Any]] = None
+96        self._hash: t.Optional[int] = None
+97
+98        for arg_key, value in self.args.items():
+99            self._set_parent(arg_key, value)
 
    
 
 
@@ -9491,19 +9688,19 @@ 
    Arguments:
    - 
    143    def text(self, key) -> str:
-144        """
-145        Returns a textual representation of the argument corresponding to "key". This can only be used
-146        for args that are strings or leaf Expression instances, such as identifiers and literals.
-147        """
-148        field = self.args.get(key)
-149        if isinstance(field, str):
-150            return field
-151        if isinstance(field, (Identifier, Literal, Var)):
-152            return field.this
-153        if isinstance(field, (Star, Null)):
-154            return field.name
-155        return ""
+            
    142    def text(self, key) -> str:
+143        """
+144        Returns a textual representation of the argument corresponding to "key". This can only be used
+145        for args that are strings or leaf Expression instances, such as identifiers and literals.
+146        """
+147        field = self.args.get(key)
+148        if isinstance(field, str):
+149            return field
+150        if isinstance(field, (Identifier, Literal, Var)):
+151            return field.this
+152        if isinstance(field, (Star, Null)):
+153            return field.name
+154        return ""
 
    
 
 
@@ -9580,7 +9777,7 @@ 
    Arguments:
    - output_name + output_name: str
    @@ -9619,13 +9816,13 @@
    Example:
    - 
    253    def copy(self):
-254        """
-255        Returns a deep copy of the expression.
-256        """
-257        new = deepcopy(self)
-258        new.parent = self.parent
-259        return new
+            
    252    def copy(self):
+253        """
+254        Returns a deep copy of the expression.
+255        """
+256        new = deepcopy(self)
+257        new.parent = self.parent
+258        return new
 
    
 
 
@@ -9645,11 +9842,11 @@ 
    Example:
    - 
    261    def add_comments(self, comments: t.Optional[t.List[str]]) -> None:
-262        if self.comments is None:
-263            self.comments = []
-264        if comments:
-265            self.comments.extend(comments)
+            
    260    def add_comments(self, comments: t.Optional[t.List[str]]) -> None:
+261        if self.comments is None:
+262            self.comments = []
+263        if comments:
+264            self.comments.extend(comments)
 
    
 
 
@@ -9661,24 +9858,24 @@ 
    Example:
    
 
    
             
         def
-        append(self, arg_key, value):
+        append(self, arg_key: str, value: Any) -> None:
 
                 
 
     
    
     
-            
    267    def append(self, arg_key, value):
-268        """
-269        Appends value to arg_key if it's a list or sets it as a new list.
-270
-271        Args:
-272            arg_key (str): name of the list expression arg
-273            value (Any): value to append to the list
-274        """
-275        if not isinstance(self.args.get(arg_key), list):
-276            self.args[arg_key] = []
-277        self.args[arg_key].append(value)
-278        self._set_parent(arg_key, value)
+            
    266    def append(self, arg_key: str, value: t.Any) -> None:
+267        """
+268        Appends value to arg_key if it's a list or sets it as a new list.
+269
+270        Args:
+271            arg_key (str): name of the list expression arg
+272            value (Any): value to append to the list
+273        """
+274        if not isinstance(self.args.get(arg_key), list):
+275            self.args[arg_key] = []
+276        self.args[arg_key].append(value)
+277        self._set_parent(arg_key, value)
 
    
 
 
@@ -9699,22 +9896,22 @@ 
    Arguments:
    
 
    
             
         def
-        set(self, arg_key, value):
+        set(self, arg_key: str, value: Any) -> None:
 
                 
 
     
    
     
-            
    280    def set(self, arg_key, value):
-281        """
-282        Sets `arg_key` to `value`.
-283
-284        Args:
-285            arg_key (str): name of the expression arg.
-286            value: value to set the arg to.
-287        """
-288        self.args[arg_key] = value
-289        self._set_parent(arg_key, value)
+            
    279    def set(self, arg_key: str, value: t.Any) -> None:
+280        """
+281        Sets `arg_key` to `value`.
+282
+283        Args:
+284            arg_key (str): name of the expression arg.
+285            value: value to set the arg to.
+286        """
+287        self.args[arg_key] = value
+288        self._set_parent(arg_key, value)
 
    
 
 
@@ -9732,7 +9929,7 @@ 
    Arguments:
    
                             
    
                             
    
                                 
    
-            depth
+            depth: int
 
         
     
    
@@ -9754,16 +9951,16 @@ 
    Arguments:
    
 
     
    
     
-            
    310    def iter_expressions(self) -> t.Iterator[t.Tuple[str, Expression]]:
-311        """Yields the key and expression for all arguments, exploding list args."""
-312        for k, vs in self.args.items():
-313            if type(vs) is list:
-314                for v in vs:
-315                    if hasattr(v, "parent"):
-316                        yield k, v
-317            else:
-318                if hasattr(vs, "parent"):
-319                    yield k, vs
+            
    309    def iter_expressions(self) -> t.Iterator[t.Tuple[str, Expression]]:
+310        """Yields the key and expression for all arguments, exploding list args."""
+311        for k, vs in self.args.items():
+312            if type(vs) is list:
+313                for v in vs:
+314                    if hasattr(v, "parent"):
+315                        yield k, v
+316            else:
+317                if hasattr(vs, "parent"):
+318                    yield k, vs
 
    
 
 
@@ -9777,19 +9974,20 @@ 
    Arguments:
    
 
    
             
         def
-        find(self, *expression_types: Type[~E], bfs=True) -> Optional[~E]:
+        find(self, *expression_types: Type[~E], bfs: bool = True) -> Optional[~E]:
 
                 
 
     
    
     
-            
    321    def find(self, *expression_types: t.Type[E], bfs=True) -> E | None:
-322        """
-323        Returns the first node in this tree which matches at least one of
-324        the specified types.
-325
-326        Args:
-327            expression_types: the expression type(s) to match.
+            
    320    def find(self, *expression_types: t.Type[E], bfs: bool = True) -> t.Optional[E]:
+321        """
+322        Returns the first node in this tree which matches at least one of
+323        the specified types.
+324
+325        Args:
+326            expression_types: the expression type(s) to match.
+327            bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
 328
 329        Returns:
 330            The node which matches the criteria or None if no such node was found.
@@ -9805,6 +10003,7 @@ 
    Arguments:
    
 
 
      
 
    • expression_types:  the expression type(s) to match.
      • 
+
    • bfs:  whether to search the AST using the BFS algorithm (DFS is used if false).
      • 
 
    
 
 
    Returns:
    
@@ -9821,26 +10020,27 @@ 
    Returns:
    
 
    
             
         def
-        find_all(self, *expression_types: Type[~E], bfs=True) -> Iterator[~E]:
+        find_all(self, *expression_types: Type[~E], bfs: bool = True) -> Iterator[~E]:
 
                 
 
     
    
     
-            
    334    def find_all(self, *expression_types: t.Type[E], bfs=True) -> t.Iterator[E]:
+            
    334    def find_all(self, *expression_types: t.Type[E], bfs: bool = True) -> t.Iterator[E]:
 335        """
 336        Returns a generator object which visits all nodes in this tree and only
 337        yields those that match at least one of the specified expression types.
 338
 339        Args:
 340            expression_types: the expression type(s) to match.
-341
-342        Returns:
-343            The generator object.
-344        """
-345        for expression, *_ in self.walk(bfs=bfs):
-346            if isinstance(expression, expression_types):
-347                yield expression
+341            bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
+342
+343        Returns:
+344            The generator object.
+345        """
+346        for expression, *_ in self.walk(bfs=bfs):
+347            if isinstance(expression, expression_types):
+348                yield expression
 
    
 
 
@@ -9851,6 +10051,7 @@ 
    Arguments:
    
 
 
      
 
    • expression_types:  the expression type(s) to match.
      • 
+
    • bfs:  whether to search the AST using the BFS algorithm (DFS is used if false).
      • 
 
    
 
 
    Returns:
    
@@ -9873,20 +10074,20 @@ 
    Returns:
    
 
     
    
     
-            
    349    def find_ancestor(self, *expression_types: t.Type[E]) -> E | None:
-350        """
-351        Returns a nearest parent matching expression_types.
-352
-353        Args:
-354            expression_types: the expression type(s) to match.
-355
-356        Returns:
-357            The parent node.
-358        """
-359        ancestor = self.parent
-360        while ancestor and not isinstance(ancestor, expression_types):
-361            ancestor = ancestor.parent
-362        return t.cast(E, ancestor)
+            
    350    def find_ancestor(self, *expression_types: t.Type[E]) -> t.Optional[E]:
+351        """
+352        Returns a nearest parent matching expression_types.
+353
+354        Args:
+355            expression_types: the expression type(s) to match.
+356
+357        Returns:
+358            The parent node.
+359        """
+360        ancestor = self.parent
+361        while ancestor and not isinstance(ancestor, expression_types):
+362            ancestor = ancestor.parent
+363        return t.cast(E, ancestor)
 
    
 
 
@@ -9909,7 +10110,7 @@ 
    Returns:
    
                             
    
                             
    
                                 
    
-            parent_select
+            parent_select: Optional[sqlglot.expressions.Select]
 
         
     
    
@@ -9922,7 +10123,7 @@ 
    Returns:
    
                             
    
                             
    
                                 
    
-            same_parent
+            same_parent: bool
 
         
     
    
@@ -9944,14 +10145,14 @@ 
    Returns:
    
 
     
    
     
-            
    376    def root(self) -> Expression:
-377        """
-378        Returns the root expression of this tree.
-379        """
-380        expression = self
-381        while expression.parent:
-382            expression = expression.parent
-383        return expression
+            
    377    def root(self) -> Expression:
+378        """
+379        Returns the root expression of this tree.
+380        """
+381        expression = self
+382        while expression.parent:
+383            expression = expression.parent
+384        return expression
 
    
 
 
@@ -9971,23 +10172,23 @@ 
    Returns:
    
 
     
    
     
-            
    385    def walk(self, bfs=True, prune=None):
-386        """
-387        Returns a generator object which visits all nodes in this tree.
-388
-389        Args:
-390            bfs (bool): if set to True the BFS traversal order will be applied,
-391                otherwise the DFS traversal will be used instead.
-392            prune ((node, parent, arg_key) -> bool): callable that returns True if
-393                the generator should stop traversing this branch of the tree.
-394
-395        Returns:
-396            the generator object.
-397        """
-398        if bfs:
-399            yield from self.bfs(prune=prune)
-400        else:
-401            yield from self.dfs(prune=prune)
+            
    386    def walk(self, bfs=True, prune=None):
+387        """
+388        Returns a generator object which visits all nodes in this tree.
+389
+390        Args:
+391            bfs (bool): if set to True the BFS traversal order will be applied,
+392                otherwise the DFS traversal will be used instead.
+393            prune ((node, parent, arg_key) -> bool): callable that returns True if
+394                the generator should stop traversing this branch of the tree.
+395
+396        Returns:
+397            the generator object.
+398        """
+399        if bfs:
+400            yield from self.bfs(prune=prune)
+401        else:
+402            yield from self.dfs(prune=prune)
 
    
 
 
@@ -10022,21 +10223,21 @@ 
    Returns:
    
 
     
    
     
-            
    403    def dfs(self, parent=None, key=None, prune=None):
-404        """
-405        Returns a generator object which visits all nodes in this tree in
-406        the DFS (Depth-first) order.
-407
-408        Returns:
-409            The generator object.
-410        """
-411        parent = parent or self.parent
-412        yield self, parent, key
-413        if prune and prune(self, parent, key):
-414            return
-415
-416        for k, v in self.iter_expressions():
-417            yield from v.dfs(self, k, prune)
+            
    404    def dfs(self, parent=None, key=None, prune=None):
+405        """
+406        Returns a generator object which visits all nodes in this tree in
+407        the DFS (Depth-first) order.
+408
+409        Returns:
+410            The generator object.
+411        """
+412        parent = parent or self.parent
+413        yield self, parent, key
+414        if prune and prune(self, parent, key):
+415            return
+416
+417        for k, v in self.iter_expressions():
+418            yield from v.dfs(self, k, prune)
 
    
 
 
@@ -10063,25 +10264,25 @@ 
    Returns:
    
 
     
    
     
-            
    419    def bfs(self, prune=None):
-420        """
-421        Returns a generator object which visits all nodes in this tree in
-422        the BFS (Breadth-first) order.
-423
-424        Returns:
-425            The generator object.
-426        """
-427        queue = deque([(self, self.parent, None)])
-428
-429        while queue:
-430            item, parent, key = queue.popleft()
-431
-432            yield item, parent, key
-433            if prune and prune(item, parent, key):
-434                continue
-435
-436            for k, v in item.iter_expressions():
-437                queue.append((v, item, k))
+            
    420    def bfs(self, prune=None):
+421        """
+422        Returns a generator object which visits all nodes in this tree in
+423        the BFS (Breadth-first) order.
+424
+425        Returns:
+426            The generator object.
+427        """
+428        queue = deque([(self, self.parent, None)])
+429
+430        while queue:
+431            item, parent, key = queue.popleft()
+432
+433            yield item, parent, key
+434            if prune and prune(item, parent, key):
+435                continue
+436
+437            for k, v in item.iter_expressions():
+438                queue.append((v, item, k))
 
    
 
 
@@ -10108,14 +10309,14 @@ 
    Returns:
    
 
     
    
     
-            
    439    def unnest(self):
-440        """
-441        Returns the first non parenthesis child or self.
-442        """
-443        expression = self
-444        while type(expression) is Paren:
-445            expression = expression.this
-446        return expression
+            
    440    def unnest(self):
+441        """
+442        Returns the first non parenthesis child or self.
+443        """
+444        expression = self
+445        while type(expression) is Paren:
+446            expression = expression.this
+447        return expression
 
    
 
 
@@ -10135,13 +10336,13 @@ 
    Returns:
    
 
     
    
     
-            
    448    def unalias(self):
-449        """
-450        Returns the inner expression if this is an Alias.
-451        """
-452        if isinstance(self, Alias):
-453            return self.this
-454        return self
+            
    449    def unalias(self):
+450        """
+451        Returns the inner expression if this is an Alias.
+452        """
+453        if isinstance(self, Alias):
+454            return self.this
+455        return self
 
    
 
 
@@ -10161,11 +10362,11 @@ 
    Returns:
    
 
     
    
     
-            
    456    def unnest_operands(self):
-457        """
-458        Returns unnested operands as a tuple.
-459        """
-460        return tuple(arg.unnest() for _, arg in self.iter_expressions())
+            
    457    def unnest_operands(self):
+458        """
+459        Returns unnested operands as a tuple.
+460        """
+461        return tuple(arg.unnest() for _, arg in self.iter_expressions())
 
    
 
 
@@ -10185,15 +10386,15 @@ 
    Returns:
    
 
     
    
     
-            
    462    def flatten(self, unnest=True):
-463        """
-464        Returns a generator which yields child nodes who's parents are the same class.
-465
-466        A AND B AND C -> [A, B, C]
-467        """
-468        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not type(n) is self.__class__):
-469            if not type(node) is self.__class__:
-470                yield node.unnest() if unnest else node
+            
    463    def flatten(self, unnest=True):
+464        """
+465        Returns a generator which yields child nodes who's parents are the same class.
+466
+467        A AND B AND C -> [A, B, C]
+468        """
+469        for node, _, _ in self.dfs(prune=lambda n, p, *_: p and not type(n) is self.__class__):
+470            if not type(node) is self.__class__:
+471                yield node.unnest() if unnest else node
 
    
 
 
@@ -10215,20 +10416,20 @@ 
    Returns:
    
 
     
    
     
-            
    478    def sql(self, dialect: DialectType = None, **opts) -> str:
-479        """
-480        Returns SQL string representation of this tree.
-481
-482        Args:
-483            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
-484            opts: other `sqlglot.generator.Generator` options.
-485
-486        Returns:
-487            The SQL string.
-488        """
-489        from sqlglot.dialects import Dialect
-490
-491        return Dialect.get_or_raise(dialect)().generate(self, **opts)
+            
    479    def sql(self, dialect: DialectType = None, **opts) -> str:
+480        """
+481        Returns SQL string representation of this tree.
+482
+483        Args:
+484            dialect: the dialect of the output SQL string (eg. "spark", "hive", "presto", "mysql").
+485            opts: other `sqlglot.generator.Generator` options.
+486
+487        Returns:
+488            The SQL string.
+489        """
+490        from sqlglot.dialects import Dialect
+491
+492        return Dialect.get_or_raise(dialect)().generate(self, **opts)
 
    
 
 
@@ -10261,32 +10462,32 @@ 
    Returns:
    
 
     
    
     
-            
    517    def transform(self, fun, *args, copy=True, **kwargs):
-518        """
-519        Recursively visits all tree nodes (excluding already transformed ones)
-520        and applies the given transformation function to each node.
-521
-522        Args:
-523            fun (function): a function which takes a node as an argument and returns a
-524                new transformed node or the same node without modifications. If the function
-525                returns None, then the corresponding node will be removed from the syntax tree.
-526            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
-527                modified in place.
-528
-529        Returns:
-530            The transformed tree.
-531        """
-532        node = self.copy() if copy else self
-533        new_node = fun(node, *args, **kwargs)
-534
-535        if new_node is None or not isinstance(new_node, Expression):
-536            return new_node
-537        if new_node is not node:
-538            new_node.parent = node.parent
-539            return new_node
-540
-541        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
-542        return new_node
+            
    518    def transform(self, fun, *args, copy=True, **kwargs):
+519        """
+520        Recursively visits all tree nodes (excluding already transformed ones)
+521        and applies the given transformation function to each node.
+522
+523        Args:
+524            fun (function): a function which takes a node as an argument and returns a
+525                new transformed node or the same node without modifications. If the function
+526                returns None, then the corresponding node will be removed from the syntax tree.
+527            copy (bool): if set to True a new tree instance is constructed, otherwise the tree is
+528                modified in place.
+529
+530        Returns:
+531            The transformed tree.
+532        """
+533        node = self.copy() if copy else self
+534        new_node = fun(node, *args, **kwargs)
+535
+536        if new_node is None or not isinstance(new_node, Expression):
+537            return new_node
+538        if new_node is not node:
+539            new_node.parent = node.parent
+540            return new_node
+541
+542        replace_children(new_node, lambda child: child.transform(fun, *args, copy=False, **kwargs))
+543        return new_node
 
    
 
 
@@ -10323,32 +10524,32 @@ 
    Returns:
    
 
     
    
     
-            
    544    def replace(self, expression):
-545        """
-546        Swap out this expression with a new expression.
-547
-548        For example::
-549
-550            >>> tree = Select().select("x").from_("tbl")
-551            >>> tree.find(Column).replace(Column(this="y"))
-552            (COLUMN this: y)
-553            >>> tree.sql()
-554            'SELECT y FROM tbl'
-555
-556        Args:
-557            expression (Expression|None): new node
+            
    553    def replace(self, expression):
+554        """
+555        Swap out this expression with a new expression.
+556
+557        For example::
 558
-559        Returns:
-560            The new expression or expressions.
-561        """
-562        if not self.parent:
-563            return expression
+559            >>> tree = Select().select("x").from_("tbl")
+560            >>> tree.find(Column).replace(Column(this="y"))
+561            (COLUMN this: y)
+562            >>> tree.sql()
+563            'SELECT y FROM tbl'
 564
-565        parent = self.parent
-566        self.parent = None
+565        Args:
+566            expression: new node
 567
-568        replace_children(parent, lambda child: expression if child is self else child)
-569        return expression
+568        Returns:
+569            The new expression or expressions.
+570        """
+571        if not self.parent:
+572            return expression
+573
+574        parent = self.parent
+575        self.parent = None
+576
+577        replace_children(parent, lambda child: expression if child is self else child)
+578        return expression
 
    
 
 
@@ -10366,7 +10567,7 @@ 
    Returns:
    
 
    Arguments:
    
 
 
      
-
    • expression (Expression|None):  new node
      • 
+
    • expression:  new node
      • 
 
    
 
 
    Returns:
    
@@ -10383,21 +10584,21 @@ 
    Returns:
    
 
    
             
         def
-        pop(self):
+        pop(self: ~E) -> ~E:
 
                 
 
     
    
     
-            
    571    def pop(self):
-572        """
-573        Remove this expression from its AST.
-574
-575        Returns:
-576            The popped expression.
-577        """
-578        self.replace(None)
-579        return self
+            
    580    def pop(self: E) -> E:
+581        """
+582        Remove this expression from its AST.
+583
+584        Returns:
+585            The popped expression.
+586        """
+587        self.replace(None)
+588        return self
 
    
 
 
@@ -10417,28 +10618,28 @@ 
    Returns:
    
 
    
             
         def
-        assert_is(self, type_):
+        assert_is(self, type_: Type[~E]) -> ~E:
 
                 
 
     
    
     
-            
    581    def assert_is(self, type_):
-582        """
-583        Assert that this `Expression` is an instance of `type_`.
-584
-585        If it is NOT an instance of `type_`, this raises an assertion error.
-586        Otherwise, this returns this expression.
-587
-588        Examples:
-589            This is useful for type security in chained expressions:
-590
-591            >>> import sqlglot
-592            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
-593            'SELECT x, z FROM y'
-594        """
-595        assert isinstance(self, type_)
-596        return self
+            
    590    def assert_is(self, type_: t.Type[E]) -> E:
+591        """
+592        Assert that this `Expression` is an instance of `type_`.
+593
+594        If it is NOT an instance of `type_`, this raises an assertion error.
+595        Otherwise, this returns this expression.
+596
+597        Examples:
+598            This is useful for type security in chained expressions:
+599
+600            >>> import sqlglot
+601            >>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()
+602            'SELECT x, z FROM y'
+603        """
+604        assert isinstance(self, type_)
+605        return self
 
    
 
 
@@ -10474,39 +10675,39 @@ 
    Examples:
    
 
     
    
     
-            
    598    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
-599        """
-600        Checks if this expression is valid (e.g. all mandatory args are set).
-601
-602        Args:
-603            args: a sequence of values that were used to instantiate a Func expression. This is used
-604                to check that the provided arguments don't exceed the function argument limit.
-605
-606        Returns:
-607            A list of error messages for all possible errors that were found.
-608        """
-609        errors: t.List[str] = []
+            
    607    def error_messages(self, args: t.Optional[t.Sequence] = None) -> t.List[str]:
+608        """
+609        Checks if this expression is valid (e.g. all mandatory args are set).
 610
-611        for k in self.args:
-612            if k not in self.arg_types:
-613                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
-614        for k, mandatory in self.arg_types.items():
-615            v = self.args.get(k)
-616            if mandatory and (v is None or (isinstance(v, list) and not v)):
-617                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
-618
-619        if (
-620            args
-621            and isinstance(self, Func)
-622            and len(args) > len(self.arg_types)
-623            and not self.is_var_len_args
-624        ):
-625            errors.append(
-626                f"The number of provided arguments ({len(args)}) is greater than "
-627                f"the maximum number of supported arguments ({len(self.arg_types)})"
-628            )
-629
-630        return errors
+611        Args:
+612            args: a sequence of values that were used to instantiate a Func expression. This is used
+613                to check that the provided arguments don't exceed the function argument limit.
+614
+615        Returns:
+616            A list of error messages for all possible errors that were found.
+617        """
+618        errors: t.List[str] = []
+619
+620        for k in self.args:
+621            if k not in self.arg_types:
+622                errors.append(f"Unexpected keyword: '{k}' for {self.__class__}")
+623        for k, mandatory in self.arg_types.items():
+624            v = self.args.get(k)
+625            if mandatory and (v is None or (isinstance(v, list) and not v)):
+626                errors.append(f"Required keyword: '{k}' missing for {self.__class__}")
+627
+628        if (
+629            args
+630            and isinstance(self, Func)
+631            and len(args) > len(self.arg_types)
+632            and not self.is_var_len_args
+633        ):
+634            errors.append(
+635                f"The number of provided arguments ({len(args)}) is greater than "
+636                f"the maximum number of supported arguments ({len(self.arg_types)})"
+637            )
+638
+639        return errors
 
    
 
 
@@ -10539,13 +10740,13 @@ 
    Returns:
    
 
     
    
     
-            
    632    def dump(self):
-633        """
-634        Dump this Expression to a JSON-serializable dict.
-635        """
-636        from sqlglot.serde import dump
-637
-638        return dump(self)
+            
    641    def dump(self):
+642        """
+643        Dump this Expression to a JSON-serializable dict.
+644        """
+645        from sqlglot.serde import dump
+646
+647        return dump(self)
 
    
 
 
@@ -10566,14 +10767,14 @@ 
    Returns:
    
 
     
    
     
-            
    640    @classmethod
-641    def load(cls, obj):
-642        """
-643        Load a dict (as returned by `Expression.dump`) into an Expression instance.
-644        """
-645        from sqlglot.serde import load
-646
-647        return load(obj)
+            
    649    @classmethod
+650    def load(cls, obj):
+651        """
+652        Load a dict (as returned by `Expression.dump`) into an Expression instance.
+653        """
+654        from sqlglot.serde import load
+655
+656        return load(obj)
 
    
 
 
@@ -10594,193 +10795,205 @@ 
    Returns:
    
 
     
    
     
-            
    658class Condition(Expression):
-659    def and_(self, *expressions, dialect=None, copy=True, **opts):
-660        """
-661        AND this condition with one or multiple expressions.
-662
-663        Example:
-664            >>> condition("x=1").and_("y=1").sql()
-665            'x = 1 AND y = 1'
-666
-667        Args:
-668            *expressions (str | Expression): the SQL code strings to parse.
-669                If an `Expression` instance is passed, it will be used as-is.
-670            dialect (str): the dialect used to parse the input expression.
-671            copy (bool): whether or not to copy the involved expressions (only applies to Expressions).
-672            opts (kwargs): other options to use to parse the input expressions.
-673
-674        Returns:
-675            And: the new condition.
-676        """
-677        return and_(self, *expressions, dialect=dialect, copy=copy, **opts)
-678
-679    def or_(self, *expressions, dialect=None, copy=True, **opts):
-680        """
-681        OR this condition with one or multiple expressions.
-682
-683        Example:
-684            >>> condition("x=1").or_("y=1").sql()
-685            'x = 1 OR y = 1'
-686
-687        Args:
-688            *expressions (str | Expression): the SQL code strings to parse.
-689                If an `Expression` instance is passed, it will be used as-is.
-690            dialect (str): the dialect used to parse the input expression.
-691            copy (bool): whether or not to copy the involved expressions (only applies to Expressions).
-692            opts (kwargs): other options to use to parse the input expressions.
+            
    667class Condition(Expression):
+668    def and_(
+669        self,
+670        *expressions: t.Optional[ExpOrStr],
+671        dialect: DialectType = None,
+672        copy: bool = True,
+673        **opts,
+674    ) -> Expression:
+675        """
+676        AND this condition with one or multiple expressions.
+677
+678        Example:
+679            >>> condition("x=1").and_("y=1").sql()
+680            'x = 1 AND y = 1'
+681
+682        Args:
+683            *expressions: the SQL code strings to parse.
+684                If an `Expression` instance is passed, it will be used as-is.
+685            dialect: the dialect used to parse the input expression.
+686            copy: whether or not to copy the involved expressions (only applies to Expressions).
+687            opts: other options to use to parse the input expressions.
+688
+689        Returns:
+690            The new And condition.
+691        """
+692        return and_(self, *expressions, dialect=dialect, copy=copy, **opts)
 693
-694        Returns:
-695            Or: the new condition.
-696        """
-697        return or_(self, *expressions, dialect=dialect, copy=copy, **opts)
-698
-699    def not_(self, copy=True):
-700        """
-701        Wrap this condition with NOT.
-702
-703        Example:
-704            >>> condition("x=1").not_().sql()
-705            'NOT x = 1'
-706
-707        Args:
-708            copy (bool): whether or not to copy this object.
-709
-710        Returns:
-711            Not: the new condition.
-712        """
-713        return not_(self, copy=copy)
+694    def or_(
+695        self,
+696        *expressions: t.Optional[ExpOrStr],
+697        dialect: DialectType = None,
+698        copy: bool = True,
+699        **opts,
+700    ) -> Expression:
+701        """
+702        OR this condition with one or multiple expressions.
+703
+704        Example:
+705            >>> condition("x=1").or_("y=1").sql()
+706            'x = 1 OR y = 1'
+707
+708        Args:
+709            *expressions: the SQL code strings to parse.
+710                If an `Expression` instance is passed, it will be used as-is.
+711            dialect: the dialect used to parse the input expression.
+712            copy: whether or not to copy the involved expressions (only applies to Expressions).
+713            opts: other options to use to parse the input expressions.
 714
-715    def as_(
-716        self,
-717        alias: str | Identifier,
-718        quoted: t.Optional[bool] = None,
-719        dialect: DialectType = None,
-720        copy: bool = True,
-721        **opts,
-722    ) -> Alias:
-723        return alias_(self, alias, quoted=quoted, dialect=dialect, copy=copy, **opts)
-724
-725    def _binop(self, klass: t.Type[E], other: t.Any, reverse: bool = False) -> E:
-726        this = self.copy()
-727        other = convert(other, copy=True)
-728        if not isinstance(this, klass) and not isinstance(other, klass):
-729            this = _wrap(this, Binary)
-730            other = _wrap(other, Binary)
-731        if reverse:
-732            return klass(this=other, expression=this)
-733        return klass(this=this, expression=other)
-734
-735    def __getitem__(self, other: ExpOrStr | t.Tuple[ExpOrStr]):
-736        return Bracket(
-737            this=self.copy(), expressions=[convert(e, copy=True) for e in ensure_list(other)]
-738        )
-739
-740    def isin(
-741        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy=True, **opts
-742    ) -> In:
-743        return In(
-744            this=_maybe_copy(self, copy),
-745            expressions=[convert(e, copy=copy) for e in expressions],
-746            query=maybe_parse(query, copy=copy, **opts) if query else None,
-747        )
-748
-749    def between(self, low: t.Any, high: t.Any, copy=True, **opts) -> Between:
-750        return Between(
-751            this=_maybe_copy(self, copy),
-752            low=convert(low, copy=copy, **opts),
-753            high=convert(high, copy=copy, **opts),
-754        )
+715        Returns:
+716            The new Or condition.
+717        """
+718        return or_(self, *expressions, dialect=dialect, copy=copy, **opts)
+719
+720    def not_(self, copy: bool = True):
+721        """
+722        Wrap this condition with NOT.
+723
+724        Example:
+725            >>> condition("x=1").not_().sql()
+726            'NOT x = 1'
+727
+728        Args:
+729            copy: whether or not to copy this object.
+730
+731        Returns:
+732            The new Not instance.
+733        """
+734        return not_(self, copy=copy)
+735
+736    def as_(
+737        self,
+738        alias: str | Identifier,
+739        quoted: t.Optional[bool] = None,
+740        dialect: DialectType = None,
+741        copy: bool = True,
+742        **opts,
+743    ) -> Alias:
+744        return alias_(self, alias, quoted=quoted, dialect=dialect, copy=copy, **opts)
+745
+746    def _binop(self, klass: t.Type[E], other: t.Any, reverse: bool = False) -> E:
+747        this = self.copy()
+748        other = convert(other, copy=True)
+749        if not isinstance(this, klass) and not isinstance(other, klass):
+750            this = _wrap(this, Binary)
+751            other = _wrap(other, Binary)
+752        if reverse:
+753            return klass(this=other, expression=this)
+754        return klass(this=this, expression=other)
 755
-756    def is_(self, other: ExpOrStr) -> Is:
-757        return self._binop(Is, other)
-758
-759    def like(self, other: ExpOrStr) -> Like:
-760        return self._binop(Like, other)
-761
-762    def ilike(self, other: ExpOrStr) -> ILike:
-763        return self._binop(ILike, other)
-764
-765    def eq(self, other: t.Any) -> EQ:
-766        return self._binop(EQ, other)
-767
-768    def neq(self, other: t.Any) -> NEQ:
-769        return self._binop(NEQ, other)
-770
-771    def rlike(self, other: ExpOrStr) -> RegexpLike:
-772        return self._binop(RegexpLike, other)
-773
-774    def __lt__(self, other: t.Any) -> LT:
-775        return self._binop(LT, other)
+756    def __getitem__(self, other: ExpOrStr | t.Tuple[ExpOrStr]):
+757        return Bracket(
+758            this=self.copy(), expressions=[convert(e, copy=True) for e in ensure_list(other)]
+759        )
+760
+761    def isin(
+762        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
+763    ) -> In:
+764        return In(
+765            this=_maybe_copy(self, copy),
+766            expressions=[convert(e, copy=copy) for e in expressions],
+767            query=maybe_parse(query, copy=copy, **opts) if query else None,
+768        )
+769
+770    def between(self, low: t.Any, high: t.Any, copy: bool = True, **opts) -> Between:
+771        return Between(
+772            this=_maybe_copy(self, copy),
+773            low=convert(low, copy=copy, **opts),
+774            high=convert(high, copy=copy, **opts),
+775        )
 776
-777    def __le__(self, other: t.Any) -> LTE:
-778        return self._binop(LTE, other)
+777    def is_(self, other: ExpOrStr) -> Is:
+778        return self._binop(Is, other)
 779
-780    def __gt__(self, other: t.Any) -> GT:
-781        return self._binop(GT, other)
+780    def like(self, other: ExpOrStr) -> Like:
+781        return self._binop(Like, other)
 782
-783    def __ge__(self, other: t.Any) -> GTE:
-784        return self._binop(GTE, other)
+783    def ilike(self, other: ExpOrStr) -> ILike:
+784        return self._binop(ILike, other)
 785
-786    def __add__(self, other: t.Any) -> Add:
-787        return self._binop(Add, other)
+786    def eq(self, other: t.Any) -> EQ:
+787        return self._binop(EQ, other)
 788
-789    def __radd__(self, other: t.Any) -> Add:
-790        return self._binop(Add, other, reverse=True)
+789    def neq(self, other: t.Any) -> NEQ:
+790        return self._binop(NEQ, other)
 791
-792    def __sub__(self, other: t.Any) -> Sub:
-793        return self._binop(Sub, other)
+792    def rlike(self, other: ExpOrStr) -> RegexpLike:
+793        return self._binop(RegexpLike, other)
 794
-795    def __rsub__(self, other: t.Any) -> Sub:
-796        return self._binop(Sub, other, reverse=True)
+795    def __lt__(self, other: t.Any) -> LT:
+796        return self._binop(LT, other)
 797
-798    def __mul__(self, other: t.Any) -> Mul:
-799        return self._binop(Mul, other)
+798    def __le__(self, other: t.Any) -> LTE:
+799        return self._binop(LTE, other)
 800
-801    def __rmul__(self, other: t.Any) -> Mul:
-802        return self._binop(Mul, other, reverse=True)
+801    def __gt__(self, other: t.Any) -> GT:
+802        return self._binop(GT, other)
 803
-804    def __truediv__(self, other: t.Any) -> Div:
-805        return self._binop(Div, other)
+804    def __ge__(self, other: t.Any) -> GTE:
+805        return self._binop(GTE, other)
 806
-807    def __rtruediv__(self, other: t.Any) -> Div:
-808        return self._binop(Div, other, reverse=True)
+807    def __add__(self, other: t.Any) -> Add:
+808        return self._binop(Add, other)
 809
-810    def __floordiv__(self, other: t.Any) -> IntDiv:
-811        return self._binop(IntDiv, other)
+810    def __radd__(self, other: t.Any) -> Add:
+811        return self._binop(Add, other, reverse=True)
 812
-813    def __rfloordiv__(self, other: t.Any) -> IntDiv:
-814        return self._binop(IntDiv, other, reverse=True)
+813    def __sub__(self, other: t.Any) -> Sub:
+814        return self._binop(Sub, other)
 815
-816    def __mod__(self, other: t.Any) -> Mod:
-817        return self._binop(Mod, other)
+816    def __rsub__(self, other: t.Any) -> Sub:
+817        return self._binop(Sub, other, reverse=True)
 818
-819    def __rmod__(self, other: t.Any) -> Mod:
-820        return self._binop(Mod, other, reverse=True)
+819    def __mul__(self, other: t.Any) -> Mul:
+820        return self._binop(Mul, other)
 821
-822    def __pow__(self, other: t.Any) -> Pow:
-823        return self._binop(Pow, other)
+822    def __rmul__(self, other: t.Any) -> Mul:
+823        return self._binop(Mul, other, reverse=True)
 824
-825    def __rpow__(self, other: t.Any) -> Pow:
-826        return self._binop(Pow, other, reverse=True)
+825    def __truediv__(self, other: t.Any) -> Div:
+826        return self._binop(Div, other)
 827
-828    def __and__(self, other: t.Any) -> And:
-829        return self._binop(And, other)
+828    def __rtruediv__(self, other: t.Any) -> Div:
+829        return self._binop(Div, other, reverse=True)
 830
-831    def __rand__(self, other: t.Any) -> And:
-832        return self._binop(And, other, reverse=True)
+831    def __floordiv__(self, other: t.Any) -> IntDiv:
+832        return self._binop(IntDiv, other)
 833
-834    def __or__(self, other: t.Any) -> Or:
-835        return self._binop(Or, other)
+834    def __rfloordiv__(self, other: t.Any) -> IntDiv:
+835        return self._binop(IntDiv, other, reverse=True)
 836
-837    def __ror__(self, other: t.Any) -> Or:
-838        return self._binop(Or, other, reverse=True)
+837    def __mod__(self, other: t.Any) -> Mod:
+838        return self._binop(Mod, other)
 839
-840    def __neg__(self) -> Neg:
-841        return Neg(this=_wrap(self.copy(), Binary))
+840    def __rmod__(self, other: t.Any) -> Mod:
+841        return self._binop(Mod, other, reverse=True)
 842
-843    def __invert__(self) -> Not:
-844        return not_(self.copy())
+843    def __pow__(self, other: t.Any) -> Pow:
+844        return self._binop(Pow, other)
+845
+846    def __rpow__(self, other: t.Any) -> Pow:
+847        return self._binop(Pow, other, reverse=True)
+848
+849    def __and__(self, other: t.Any) -> And:
+850        return self._binop(And, other)
+851
+852    def __rand__(self, other: t.Any) -> And:
+853        return self._binop(And, other, reverse=True)
+854
+855    def __or__(self, other: t.Any) -> Or:
+856        return self._binop(Or, other)
+857
+858    def __ror__(self, other: t.Any) -> Or:
+859        return self._binop(Or, other, reverse=True)
+860
+861    def __neg__(self) -> Neg:
+862        return Neg(this=_wrap(self.copy(), Binary))
+863
+864    def __invert__(self) -> Not:
+865        return not_(self.copy())
 
    
 
 
@@ -10791,31 +11004,37 @@ 
    Returns:
    
 
    
             
         def
-        and_(self, *expressions, dialect=None, copy=True, **opts):
+        and_(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    659    def and_(self, *expressions, dialect=None, copy=True, **opts):
-660        """
-661        AND this condition with one or multiple expressions.
-662
-663        Example:
-664            >>> condition("x=1").and_("y=1").sql()
-665            'x = 1 AND y = 1'
-666
-667        Args:
-668            *expressions (str | Expression): the SQL code strings to parse.
-669                If an `Expression` instance is passed, it will be used as-is.
-670            dialect (str): the dialect used to parse the input expression.
-671            copy (bool): whether or not to copy the involved expressions (only applies to Expressions).
-672            opts (kwargs): other options to use to parse the input expressions.
-673
-674        Returns:
-675            And: the new condition.
-676        """
-677        return and_(self, *expressions, dialect=dialect, copy=copy, **opts)
+            
    668    def and_(
+669        self,
+670        *expressions: t.Optional[ExpOrStr],
+671        dialect: DialectType = None,
+672        copy: bool = True,
+673        **opts,
+674    ) -> Expression:
+675        """
+676        AND this condition with one or multiple expressions.
+677
+678        Example:
+679            >>> condition("x=1").and_("y=1").sql()
+680            'x = 1 AND y = 1'
+681
+682        Args:
+683            *expressions: the SQL code strings to parse.
+684                If an `Expression` instance is passed, it will be used as-is.
+685            dialect: the dialect used to parse the input expression.
+686            copy: whether or not to copy the involved expressions (only applies to Expressions).
+687            opts: other options to use to parse the input expressions.
+688
+689        Returns:
+690            The new And condition.
+691        """
+692        return and_(self, *expressions, dialect=dialect, copy=copy, **opts)
 
    
 
 
@@ -10834,17 +11053,17 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  whether or not to copy the involved expressions (only applies to Expressions).
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  whether or not to copy the involved expressions (only applies to Expressions).
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    And: the new condition.
    
+  
    The new And condition.
    
 
    
 
    
 
@@ -10855,31 +11074,37 @@ 
    Returns:
    
 
    
             
         def
-        or_(self, *expressions, dialect=None, copy=True, **opts):
+        or_(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    679    def or_(self, *expressions, dialect=None, copy=True, **opts):
-680        """
-681        OR this condition with one or multiple expressions.
-682
-683        Example:
-684            >>> condition("x=1").or_("y=1").sql()
-685            'x = 1 OR y = 1'
-686
-687        Args:
-688            *expressions (str | Expression): the SQL code strings to parse.
-689                If an `Expression` instance is passed, it will be used as-is.
-690            dialect (str): the dialect used to parse the input expression.
-691            copy (bool): whether or not to copy the involved expressions (only applies to Expressions).
-692            opts (kwargs): other options to use to parse the input expressions.
-693
-694        Returns:
-695            Or: the new condition.
-696        """
-697        return or_(self, *expressions, dialect=dialect, copy=copy, **opts)
+            
    694    def or_(
+695        self,
+696        *expressions: t.Optional[ExpOrStr],
+697        dialect: DialectType = None,
+698        copy: bool = True,
+699        **opts,
+700    ) -> Expression:
+701        """
+702        OR this condition with one or multiple expressions.
+703
+704        Example:
+705            >>> condition("x=1").or_("y=1").sql()
+706            'x = 1 OR y = 1'
+707
+708        Args:
+709            *expressions: the SQL code strings to parse.
+710                If an `Expression` instance is passed, it will be used as-is.
+711            dialect: the dialect used to parse the input expression.
+712            copy: whether or not to copy the involved expressions (only applies to Expressions).
+713            opts: other options to use to parse the input expressions.
+714
+715        Returns:
+716            The new Or condition.
+717        """
+718        return or_(self, *expressions, dialect=dialect, copy=copy, **opts)
 
    
 
 
@@ -10898,17 +11123,17 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  whether or not to copy the involved expressions (only applies to Expressions).
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  whether or not to copy the involved expressions (only applies to Expressions).
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Or: the new condition.
    
+  
    The new Or condition.
    
 
    
 
    
 
@@ -10919,27 +11144,27 @@ 
    Returns:
    
 
    
             
         def
-        not_(self, copy=True):
+        not_(self, copy: bool = True):
 
                 
 
     
    
     
-            
    699    def not_(self, copy=True):
-700        """
-701        Wrap this condition with NOT.
-702
-703        Example:
-704            >>> condition("x=1").not_().sql()
-705            'NOT x = 1'
-706
-707        Args:
-708            copy (bool): whether or not to copy this object.
-709
-710        Returns:
-711            Not: the new condition.
-712        """
-713        return not_(self, copy=copy)
+            
    720    def not_(self, copy: bool = True):
+721        """
+722        Wrap this condition with NOT.
+723
+724        Example:
+725            >>> condition("x=1").not_().sql()
+726            'NOT x = 1'
+727
+728        Args:
+729            copy: whether or not to copy this object.
+730
+731        Returns:
+732            The new Not instance.
+733        """
+734        return not_(self, copy=copy)
 
    
 
 
@@ -10958,13 +11183,13 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • copy (bool):  whether or not to copy this object.
      • 
+
    • copy:  whether or not to copy this object.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Not: the new condition.
    
+  
    The new Not instance.
    
 
    
 
    
 
@@ -10981,15 +11206,15 @@ 
    Returns:
    
 
     
    
     
-            
    715    def as_(
-716        self,
-717        alias: str | Identifier,
-718        quoted: t.Optional[bool] = None,
-719        dialect: DialectType = None,
-720        copy: bool = True,
-721        **opts,
-722    ) -> Alias:
-723        return alias_(self, alias, quoted=quoted, dialect=dialect, copy=copy, **opts)
+            
    736    def as_(
+737        self,
+738        alias: str | Identifier,
+739        quoted: t.Optional[bool] = None,
+740        dialect: DialectType = None,
+741        copy: bool = True,
+742        **opts,
+743    ) -> Alias:
+744        return alias_(self, alias, quoted=quoted, dialect=dialect, copy=copy, **opts)
 
    
 
 
@@ -11001,20 +11226,20 @@ 
    Returns:
    
 
    
             
         def
-        isin(	self,	*expressions: Any,	query: Union[str, sqlglot.expressions.Expression, NoneType] = None,	copy=True,	**opts) -> sqlglot.expressions.In:
+        isin(	self,	*expressions: Any,	query: Union[str, sqlglot.expressions.Expression, NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.In:
 
                 
 
     
    
     
-            
    740    def isin(
-741        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy=True, **opts
-742    ) -> In:
-743        return In(
-744            this=_maybe_copy(self, copy),
-745            expressions=[convert(e, copy=copy) for e in expressions],
-746            query=maybe_parse(query, copy=copy, **opts) if query else None,
-747        )
+            
    761    def isin(
+762        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
+763    ) -> In:
+764        return In(
+765            this=_maybe_copy(self, copy),
+766            expressions=[convert(e, copy=copy) for e in expressions],
+767            query=maybe_parse(query, copy=copy, **opts) if query else None,
+768        )
 
    
 
 
@@ -11026,18 +11251,18 @@ 
    Returns:
    
 
    
             
         def
-        between(	self,	low: Any,	high: Any,	copy=True,	**opts) -> sqlglot.expressions.Between:
+        between(	self,	low: Any,	high: Any,	copy: bool = True,	**opts) -> sqlglot.expressions.Between:
 
                 
 
     
    
     
-            
    749    def between(self, low: t.Any, high: t.Any, copy=True, **opts) -> Between:
-750        return Between(
-751            this=_maybe_copy(self, copy),
-752            low=convert(low, copy=copy, **opts),
-753            high=convert(high, copy=copy, **opts),
-754        )
+            
    770    def between(self, low: t.Any, high: t.Any, copy: bool = True, **opts) -> Between:
+771        return Between(
+772            this=_maybe_copy(self, copy),
+773            low=convert(low, copy=copy, **opts),
+774            high=convert(high, copy=copy, **opts),
+775        )
 
    
 
 
@@ -11055,8 +11280,8 @@ 
    Returns:
    
 
     
    
     
-            
    756    def is_(self, other: ExpOrStr) -> Is:
-757        return self._binop(Is, other)
+            
    777    def is_(self, other: ExpOrStr) -> Is:
+778        return self._binop(Is, other)
 
    
 
 
@@ -11074,8 +11299,8 @@ 
    Returns:
    
 
     
    
     
-            
    759    def like(self, other: ExpOrStr) -> Like:
-760        return self._binop(Like, other)
+            
    780    def like(self, other: ExpOrStr) -> Like:
+781        return self._binop(Like, other)
 
    
 
 
@@ -11093,8 +11318,8 @@ 
    Returns:
    
 
     
    
     
-            
    762    def ilike(self, other: ExpOrStr) -> ILike:
-763        return self._binop(ILike, other)
+            
    783    def ilike(self, other: ExpOrStr) -> ILike:
+784        return self._binop(ILike, other)
 
    
 
 
@@ -11112,8 +11337,8 @@ 
    Returns:
    
 
     
    
     
-            
    765    def eq(self, other: t.Any) -> EQ:
-766        return self._binop(EQ, other)
+            
    786    def eq(self, other: t.Any) -> EQ:
+787        return self._binop(EQ, other)
 
    
 
 
@@ -11131,8 +11356,8 @@ 
    Returns:
    
 
     
    
     
-            
    768    def neq(self, other: t.Any) -> NEQ:
-769        return self._binop(NEQ, other)
+            
    789    def neq(self, other: t.Any) -> NEQ:
+790        return self._binop(NEQ, other)
 
    
 
 
@@ -11150,8 +11375,8 @@ 
    Returns:
    
 
     
    
     
-            
    771    def rlike(self, other: ExpOrStr) -> RegexpLike:
-772        return self._binop(RegexpLike, other)
+            
    792    def rlike(self, other: ExpOrStr) -> RegexpLike:
+793        return self._binop(RegexpLike, other)
 
    
 
 
@@ -11216,8 +11441,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    847class Predicate(Condition):
-848    """Relationships like x = y, x > 1, x >= y."""
+            
    868class Predicate(Condition):
+869    """Relationships like x = y, x > 1, x >= y."""
 
    
 
 
@@ -11298,22 +11523,22 @@ 
    Inherited Members
    
 
     
    
     
-            
    851class DerivedTable(Expression):
-852    @property
-853    def alias_column_names(self):
-854        table_alias = self.args.get("alias")
-855        if not table_alias:
-856            return []
-857        column_list = table_alias.assert_is(TableAlias).args.get("columns") or []
-858        return [c.name for c in column_list]
-859
-860    @property
-861    def selects(self):
-862        return self.this.selects if isinstance(self.this, Subqueryable) else []
-863
-864    @property
-865    def named_selects(self):
-866        return [select.output_name for select in self.selects]
+            
    872class DerivedTable(Expression):
+873    @property
+874    def alias_column_names(self) -> t.List[str]:
+875        table_alias = self.args.get("alias")
+876        if not table_alias:
+877            return []
+878        column_list = table_alias.assert_is(TableAlias).args.get("columns") or []
+879        return [c.name for c in column_list]
+880
+881    @property
+882    def selects(self):
+883        return self.this.selects if isinstance(self.this, Subqueryable) else []
+884
+885    @property
+886    def named_selects(self):
+887        return [select.output_name for select in self.selects]
 
    
 
 
@@ -11377,66 +11602,75 @@ 
    Inherited Members
    
 
     
    
     
-            
    869class Unionable(Expression):
-870    def union(self, expression, distinct=True, dialect=None, **opts):
-871        """
-872        Builds a UNION expression.
-873
-874        Example:
-875            >>> import sqlglot
-876            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
-877            'SELECT * FROM foo UNION SELECT * FROM bla'
-878
-879        Args:
-880            expression (str | Expression): the SQL code string.
-881                If an `Expression` instance is passed, it will be used as-is.
-882            distinct (bool): set the DISTINCT flag if and only if this is true.
-883            dialect (str): the dialect used to parse the input expression.
-884            opts (kwargs): other options to use to parse the input expressions.
-885        Returns:
-886            Union: the Union expression.
-887        """
-888        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
-889
-890    def intersect(self, expression, distinct=True, dialect=None, **opts):
-891        """
-892        Builds an INTERSECT expression.
-893
-894        Example:
-895            >>> import sqlglot
-896            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
-897            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
-898
-899        Args:
-900            expression (str | Expression): the SQL code string.
-901                If an `Expression` instance is passed, it will be used as-is.
-902            distinct (bool): set the DISTINCT flag if and only if this is true.
-903            dialect (str): the dialect used to parse the input expression.
-904            opts (kwargs): other options to use to parse the input expressions.
-905        Returns:
-906            Intersect: the Intersect expression
-907        """
-908        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
-909
-910    def except_(self, expression, distinct=True, dialect=None, **opts):
-911        """
-912        Builds an EXCEPT expression.
+            
    890class Unionable(Expression):
+891    def union(
+892        self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+893    ) -> Unionable:
+894        """
+895        Builds a UNION expression.
+896
+897        Example:
+898            >>> import sqlglot
+899            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
+900            'SELECT * FROM foo UNION SELECT * FROM bla'
+901
+902        Args:
+903            expression: the SQL code string.
+904                If an `Expression` instance is passed, it will be used as-is.
+905            distinct: set the DISTINCT flag if and only if this is true.
+906            dialect: the dialect used to parse the input expression.
+907            opts: other options to use to parse the input expressions.
+908
+909        Returns:
+910            The new Union expression.
+911        """
+912        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
 913
-914        Example:
-915            >>> import sqlglot
-916            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
-917            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
-918
-919        Args:
-920            expression (str | Expression): the SQL code string.
-921                If an `Expression` instance is passed, it will be used as-is.
-922            distinct (bool): set the DISTINCT flag if and only if this is true.
-923            dialect (str): the dialect used to parse the input expression.
-924            opts (kwargs): other options to use to parse the input expressions.
-925        Returns:
-926            Except: the Except expression
-927        """
-928        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
+914    def intersect(
+915        self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+916    ) -> Unionable:
+917        """
+918        Builds an INTERSECT expression.
+919
+920        Example:
+921            >>> import sqlglot
+922            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
+923            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
+924
+925        Args:
+926            expression: the SQL code string.
+927                If an `Expression` instance is passed, it will be used as-is.
+928            distinct: set the DISTINCT flag if and only if this is true.
+929            dialect: the dialect used to parse the input expression.
+930            opts: other options to use to parse the input expressions.
+931
+932        Returns:
+933            The new Intersect expression.
+934        """
+935        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
+936
+937    def except_(
+938        self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+939    ) -> Unionable:
+940        """
+941        Builds an EXCEPT expression.
+942
+943        Example:
+944            >>> import sqlglot
+945            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
+946            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
+947
+948        Args:
+949            expression: the SQL code string.
+950                If an `Expression` instance is passed, it will be used as-is.
+951            distinct: set the DISTINCT flag if and only if this is true.
+952            dialect: the dialect used to parse the input expression.
+953            opts: other options to use to parse the input expressions.
+954
+955        Returns:
+956            The new Except expression.
+957        """
+958        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
 
    
 
 
@@ -11447,31 +11681,34 @@ 
    Inherited Members
    
 
    
             
         def
-        union(self, expression, distinct=True, dialect=None, **opts):
+        union(	self,	expression: Union[str, sqlglot.expressions.Expression],	distinct: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	**opts) -> sqlglot.expressions.Unionable:
 
                 
 
     
    
     
-            
    870    def union(self, expression, distinct=True, dialect=None, **opts):
-871        """
-872        Builds a UNION expression.
-873
-874        Example:
-875            >>> import sqlglot
-876            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
-877            'SELECT * FROM foo UNION SELECT * FROM bla'
-878
-879        Args:
-880            expression (str | Expression): the SQL code string.
-881                If an `Expression` instance is passed, it will be used as-is.
-882            distinct (bool): set the DISTINCT flag if and only if this is true.
-883            dialect (str): the dialect used to parse the input expression.
-884            opts (kwargs): other options to use to parse the input expressions.
-885        Returns:
-886            Union: the Union expression.
-887        """
-888        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
+            
    891    def union(
+892        self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+893    ) -> Unionable:
+894        """
+895        Builds a UNION expression.
+896
+897        Example:
+898            >>> import sqlglot
+899            >>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()
+900            'SELECT * FROM foo UNION SELECT * FROM bla'
+901
+902        Args:
+903            expression: the SQL code string.
+904                If an `Expression` instance is passed, it will be used as-is.
+905            distinct: set the DISTINCT flag if and only if this is true.
+906            dialect: the dialect used to parse the input expression.
+907            opts: other options to use to parse the input expressions.
+908
+909        Returns:
+910            The new Union expression.
+911        """
+912        return union(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
 
    
 
 
@@ -11491,17 +11728,17 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | Expression):  the SQL code string.
+
    • expression:  the SQL code string.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • distinct (bool):  set the DISTINCT flag if and only if this is true.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • distinct:  set the DISTINCT flag if and only if this is true.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Union: the Union expression.
    
+  
    The new Union expression.
    
 
    
 
    
 
@@ -11512,31 +11749,34 @@ 
    Returns:
    
 
    
             
         def
-        intersect(self, expression, distinct=True, dialect=None, **opts):
+        intersect(	self,	expression: Union[str, sqlglot.expressions.Expression],	distinct: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	**opts) -> sqlglot.expressions.Unionable:
 
                 
 
     
    
     
-            
    890    def intersect(self, expression, distinct=True, dialect=None, **opts):
-891        """
-892        Builds an INTERSECT expression.
-893
-894        Example:
-895            >>> import sqlglot
-896            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
-897            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
-898
-899        Args:
-900            expression (str | Expression): the SQL code string.
-901                If an `Expression` instance is passed, it will be used as-is.
-902            distinct (bool): set the DISTINCT flag if and only if this is true.
-903            dialect (str): the dialect used to parse the input expression.
-904            opts (kwargs): other options to use to parse the input expressions.
-905        Returns:
-906            Intersect: the Intersect expression
-907        """
-908        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
+            
    914    def intersect(
+915        self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+916    ) -> Unionable:
+917        """
+918        Builds an INTERSECT expression.
+919
+920        Example:
+921            >>> import sqlglot
+922            >>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()
+923            'SELECT * FROM foo INTERSECT SELECT * FROM bla'
+924
+925        Args:
+926            expression: the SQL code string.
+927                If an `Expression` instance is passed, it will be used as-is.
+928            distinct: set the DISTINCT flag if and only if this is true.
+929            dialect: the dialect used to parse the input expression.
+930            opts: other options to use to parse the input expressions.
+931
+932        Returns:
+933            The new Intersect expression.
+934        """
+935        return intersect(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
 
    
 
 
@@ -11556,17 +11796,17 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | Expression):  the SQL code string.
+
    • expression:  the SQL code string.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • distinct (bool):  set the DISTINCT flag if and only if this is true.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • distinct:  set the DISTINCT flag if and only if this is true.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Intersect: the Intersect expression
    
+  
    The new Intersect expression.
    
 
    
 
    
 
@@ -11577,31 +11817,34 @@ 
    Returns:
    
 
    
             
         def
-        except_(self, expression, distinct=True, dialect=None, **opts):
+        except_(	self,	expression: Union[str, sqlglot.expressions.Expression],	distinct: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	**opts) -> sqlglot.expressions.Unionable:
 
                 
 
     
    
     
-            
    910    def except_(self, expression, distinct=True, dialect=None, **opts):
-911        """
-912        Builds an EXCEPT expression.
-913
-914        Example:
-915            >>> import sqlglot
-916            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
-917            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
-918
-919        Args:
-920            expression (str | Expression): the SQL code string.
-921                If an `Expression` instance is passed, it will be used as-is.
-922            distinct (bool): set the DISTINCT flag if and only if this is true.
-923            dialect (str): the dialect used to parse the input expression.
-924            opts (kwargs): other options to use to parse the input expressions.
-925        Returns:
-926            Except: the Except expression
-927        """
-928        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
+            
    937    def except_(
+938        self, expression: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+939    ) -> Unionable:
+940        """
+941        Builds an EXCEPT expression.
+942
+943        Example:
+944            >>> import sqlglot
+945            >>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()
+946            'SELECT * FROM foo EXCEPT SELECT * FROM bla'
+947
+948        Args:
+949            expression: the SQL code string.
+950                If an `Expression` instance is passed, it will be used as-is.
+951            distinct: set the DISTINCT flag if and only if this is true.
+952            dialect: the dialect used to parse the input expression.
+953            opts: other options to use to parse the input expressions.
+954
+955        Returns:
+956            The new Except expression.
+957        """
+958        return except_(left=self, right=expression, distinct=distinct, dialect=dialect, **opts)
 
    
 
 
@@ -11621,17 +11864,17 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | Expression):  the SQL code string.
+
    • expression:  the SQL code string.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • distinct (bool):  set the DISTINCT flag if and only if this is true.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • distinct:  set the DISTINCT flag if and only if this is true.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Except: the Except expression
    
+  
    The new Except expression.
    
 
    
 
    
 
@@ -11695,11 +11938,11 @@ 
    Inherited Members
    
 
     
    
     
-            
    931class UDTF(DerivedTable, Unionable):
-932    @property
-933    def selects(self):
-934        alias = self.args.get("alias")
-935        return alias.columns if alias else []
+            
    961class UDTF(DerivedTable, Unionable):
+962    @property
+963    def selects(self):
+964        alias = self.args.get("alias")
+965        return alias.columns if alias else []
 
    
 
 
@@ -11769,14 +12012,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    938class Cache(Expression):
-939    arg_types = {
-940        "with": False,
-941        "this": True,
-942        "lazy": False,
-943        "options": False,
-944        "expression": False,
-945    }
+            
    968class Cache(Expression):
+969    arg_types = {
+970        "with": False,
+971        "this": True,
+972        "lazy": False,
+973        "options": False,
+974        "expression": False,
+975    }
 
    
 
 
@@ -11840,8 +12083,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    948class Uncache(Expression):
-949    arg_types = {"this": True, "exists": False}
+            
    978class Uncache(Expression):
+979    arg_types = {"this": True, "exists": False}
 
    
 
 
@@ -11905,21 +12148,21 @@ 
    Inherited Members
    
 
     
    
     
-            
    952class Create(Expression):
-953    arg_types = {
-954        "with": False,
-955        "this": True,
-956        "kind": True,
-957        "expression": False,
-958        "exists": False,
-959        "properties": False,
-960        "replace": False,
-961        "unique": False,
-962        "indexes": False,
-963        "no_schema_binding": False,
-964        "begin": False,
-965        "clone": False,
-966    }
+            
    982class Create(Expression):
+983    arg_types = {
+984        "with": False,
+985        "this": True,
+986        "kind": True,
+987        "expression": False,
+988        "exists": False,
+989        "properties": False,
+990        "replace": False,
+991        "unique": False,
+992        "indexes": False,
+993        "no_schema_binding": False,
+994        "begin": False,
+995        "clone": False,
+996    }
 
    
 
 
@@ -11983,13 +12226,13 @@ 
    Inherited Members
    
 
     
    
     
-            
    970class Clone(Expression):
-971    arg_types = {
-972        "this": True,
-973        "when": False,
-974        "kind": False,
-975        "expression": False,
-976    }
+            
    1000class Clone(Expression):
+1001    arg_types = {
+1002        "this": True,
+1003        "when": False,
+1004        "kind": False,
+1005        "expression": False,
+1006    }
 
    
 
 
@@ -12053,8 +12296,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    979class Describe(Expression):
-980    arg_types = {"this": True, "kind": False}
+            
    1009class Describe(Expression):
+1010    arg_types = {"this": True, "kind": False}
 
    
 
 
@@ -12118,8 +12361,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    983class Pragma(Expression):
-984    pass
+            
    1013class Pragma(Expression):
+1014    pass
 
    
 
 
@@ -12183,8 +12426,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    987class Set(Expression):
-988    arg_types = {"expressions": False}
+            
    1017class Set(Expression):
+1018    arg_types = {"expressions": False}
 
    
 
 
@@ -12248,14 +12491,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    991class SetItem(Expression):
-992    arg_types = {
-993        "this": False,
-994        "expressions": False,
-995        "kind": False,
-996        "collate": False,  # MySQL SET NAMES statement
-997        "global": False,
-998    }
+            
    1021class SetItem(Expression):
+1022    arg_types = {
+1023        "this": False,
+1024        "expressions": False,
+1025        "kind": False,
+1026        "collate": False,  # MySQL SET NAMES statement
+1027        "global": False,
+1028    }
 
    
 
 
@@ -12319,24 +12562,24 @@ 
    Inherited Members
    
 
     
    
     
-            
    1001class Show(Expression):
-1002    arg_types = {
-1003        "this": True,
-1004        "target": False,
-1005        "offset": False,
-1006        "limit": False,
-1007        "like": False,
-1008        "where": False,
-1009        "db": False,
-1010        "full": False,
-1011        "mutex": False,
-1012        "query": False,
-1013        "channel": False,
-1014        "global": False,
-1015        "log": False,
-1016        "position": False,
-1017        "types": False,
-1018    }
+            
    1031class Show(Expression):
+1032    arg_types = {
+1033        "this": True,
+1034        "target": False,
+1035        "offset": False,
+1036        "limit": False,
+1037        "like": False,
+1038        "where": False,
+1039        "db": False,
+1040        "full": False,
+1041        "mutex": False,
+1042        "query": False,
+1043        "channel": False,
+1044        "global": False,
+1045        "log": False,
+1046        "position": False,
+1047        "types": False,
+1048    }
 
    
 
 
@@ -12400,8 +12643,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1021class UserDefinedFunction(Expression):
-1022    arg_types = {"this": True, "expressions": False, "wrapped": False}
+            
    1051class UserDefinedFunction(Expression):
+1052    arg_types = {"this": True, "expressions": False, "wrapped": False}
 
    
 
 
@@ -12465,8 +12708,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1025class CharacterSet(Expression):
-1026    arg_types = {"this": True, "default": False}
+            
    1055class CharacterSet(Expression):
+1056    arg_types = {"this": True, "default": False}
 
    
 
 
@@ -12530,12 +12773,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    1029class With(Expression):
-1030    arg_types = {"expressions": True, "recursive": False}
-1031
-1032    @property
-1033    def recursive(self) -> bool:
-1034        return bool(self.args.get("recursive"))
+            
    1059class With(Expression):
+1060    arg_types = {"expressions": True, "recursive": False}
+1061
+1062    @property
+1063    def recursive(self) -> bool:
+1064        return bool(self.args.get("recursive"))
 
    
 
 
@@ -12599,8 +12842,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1037class WithinGroup(Expression):
-1038    arg_types = {"this": True, "expression": False}
+            
    1067class WithinGroup(Expression):
+1068    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -12664,8 +12907,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1041class CTE(DerivedTable):
-1042    arg_types = {"this": True, "alias": True}
+            
    1071class CTE(DerivedTable):
+1072    arg_types = {"this": True, "alias": True}
 
    
 
 
@@ -12729,12 +12972,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    1045class TableAlias(Expression):
-1046    arg_types = {"this": False, "columns": False}
-1047
-1048    @property
-1049    def columns(self):
-1050        return self.args.get("columns") or []
+            
    1075class TableAlias(Expression):
+1076    arg_types = {"this": False, "columns": False}
+1077
+1078    @property
+1079    def columns(self):
+1080        return self.args.get("columns") or []
 
    
 
 
@@ -12798,8 +13041,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1053class BitString(Condition):
-1054    pass
+            
    1083class BitString(Condition):
+1084    pass
 
    
 
 
@@ -12878,8 +13121,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1057class HexString(Condition):
-1058    pass
+            
    1087class HexString(Condition):
+1088    pass
 
    
 
 
@@ -12958,8 +13201,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1061class ByteString(Condition):
-1062    pass
+            
    1091class ByteString(Condition):
+1092    pass
 
    
 
 
@@ -13023,6 +13266,86 @@ 
    Inherited Members
    
                 
    neq
    
                 
    rlike
    
 
+            
    
+                                
+                            
    
+                
+                
    
+                            
+
    
+            
+    class
+    RawString(Condition):
+
+                
+
+    
    
+    
+            
    1095class RawString(Condition):
+1096    pass
+
    
+
+
+    
+
+                            
    
+                                
    Inherited Members
    
+                                
    
+                                    
+            
    Condition
    
+                                
    and_
    
+                
    or_
    
+                
    not_
    
+                
    as_
    
+                
    isin
    
+                
    between
    
+                
    is_
    
+                
    like
    
+                
    ilike
    
+                
    eq
    
+                
    neq
    
+                
    rlike
    
+
             
    
                                 
    
                             
    
@@ -13038,45 +13361,45 @@ 
    Inherited Members
    
 
     
    
     
-            
    1065class Column(Condition):
-1066    arg_types = {"this": True, "table": False, "db": False, "catalog": False, "join_mark": False}
-1067
-1068    @property
-1069    def table(self) -> str:
-1070        return self.text("table")
-1071
-1072    @property
-1073    def db(self) -> str:
-1074        return self.text("db")
-1075
-1076    @property
-1077    def catalog(self) -> str:
-1078        return self.text("catalog")
-1079
-1080    @property
-1081    def output_name(self) -> str:
-1082        return self.name
-1083
-1084    @property
-1085    def parts(self) -> t.List[Identifier]:
-1086        """Return the parts of a column in order catalog, db, table, name."""
-1087        return [
-1088            t.cast(Identifier, self.args[part])
-1089            for part in ("catalog", "db", "table", "this")
-1090            if self.args.get(part)
-1091        ]
-1092
-1093    def to_dot(self) -> Dot:
-1094        """Converts the column into a dot expression."""
-1095        parts = self.parts
-1096        parent = self.parent
-1097
-1098        while parent:
-1099            if isinstance(parent, Dot):
-1100                parts.append(parent.expression)
-1101            parent = parent.parent
-1102
-1103        return Dot.build(parts)
+            
    1099class Column(Condition):
+1100    arg_types = {"this": True, "table": False, "db": False, "catalog": False, "join_mark": False}
+1101
+1102    @property
+1103    def table(self) -> str:
+1104        return self.text("table")
+1105
+1106    @property
+1107    def db(self) -> str:
+1108        return self.text("db")
+1109
+1110    @property
+1111    def catalog(self) -> str:
+1112        return self.text("catalog")
+1113
+1114    @property
+1115    def output_name(self) -> str:
+1116        return self.name
+1117
+1118    @property
+1119    def parts(self) -> t.List[Identifier]:
+1120        """Return the parts of a column in order catalog, db, table, name."""
+1121        return [
+1122            t.cast(Identifier, self.args[part])
+1123            for part in ("catalog", "db", "table", "this")
+1124            if self.args.get(part)
+1125        ]
+1126
+1127    def to_dot(self) -> Dot:
+1128        """Converts the column into a dot expression."""
+1129        parts = self.parts
+1130        parent = self.parent
+1131
+1132        while parent:
+1133            if isinstance(parent, Dot):
+1134                parts.append(parent.expression)
+1135            parent = parent.parent
+1136
+1137        return Dot.build(parts)
 
    
 
 
@@ -13136,17 +13459,17 @@ 
    Example:
    
 
     
    
     
-            
    1093    def to_dot(self) -> Dot:
-1094        """Converts the column into a dot expression."""
-1095        parts = self.parts
-1096        parent = self.parent
-1097
-1098        while parent:
-1099            if isinstance(parent, Dot):
-1100                parts.append(parent.expression)
-1101            parent = parent.parent
-1102
-1103        return Dot.build(parts)
+            
    1127    def to_dot(self) -> Dot:
+1128        """Converts the column into a dot expression."""
+1129        parts = self.parts
+1130        parent = self.parent
+1131
+1132        while parent:
+1133            if isinstance(parent, Dot):
+1134                parts.append(parent.expression)
+1135            parent = parent.parent
+1136
+1137        return Dot.build(parts)
 
    
 
 
@@ -13227,8 +13550,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1106class ColumnPosition(Expression):
-1107    arg_types = {"this": False, "position": True}
+            
    1140class ColumnPosition(Expression):
+1141    arg_types = {"this": False, "position": True}
 
    
 
 
@@ -13292,18 +13615,18 @@ 
    Inherited Members
    
 
     
    
     
-            
    1110class ColumnDef(Expression):
-1111    arg_types = {
-1112        "this": True,
-1113        "kind": False,
-1114        "constraints": False,
-1115        "exists": False,
-1116        "position": False,
-1117    }
-1118
-1119    @property
-1120    def constraints(self) -> t.List[ColumnConstraint]:
-1121        return self.args.get("constraints") or []
+            
    1144class ColumnDef(Expression):
+1145    arg_types = {
+1146        "this": True,
+1147        "kind": False,
+1148        "constraints": False,
+1149        "exists": False,
+1150        "position": False,
+1151    }
+1152
+1153    @property
+1154    def constraints(self) -> t.List[ColumnConstraint]:
+1155        return self.args.get("constraints") or []
 
    
 
 
@@ -13367,15 +13690,15 @@ 
    Inherited Members
    
 
     
    
     
-            
    1124class AlterColumn(Expression):
-1125    arg_types = {
-1126        "this": True,
-1127        "dtype": False,
-1128        "collate": False,
-1129        "using": False,
-1130        "default": False,
-1131        "drop": False,
-1132    }
+            
    1158class AlterColumn(Expression):
+1159    arg_types = {
+1160        "this": True,
+1161        "dtype": False,
+1162        "collate": False,
+1163        "using": False,
+1164        "default": False,
+1165        "drop": False,
+1166    }
 
    
 
 
@@ -13439,8 +13762,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1135class RenameTable(Expression):
-1136    pass
+            
    1169class RenameTable(Expression):
+1170    pass
 
    
 
 
@@ -13504,8 +13827,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1139class SetTag(Expression):
-1140    arg_types = {"expressions": True, "unset": False}
+            
    1173class SetTag(Expression):
+1174    arg_types = {"expressions": True, "unset": False}
 
    
 
 
@@ -13569,8 +13892,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1143class Comment(Expression):
-1144    arg_types = {"this": True, "kind": True, "expression": True, "exists": False}
+            
    1177class Comment(Expression):
+1178    arg_types = {"this": True, "kind": True, "expression": True, "exists": False}
 
    
 
 
@@ -13634,14 +13957,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1148class MergeTreeTTLAction(Expression):
-1149    arg_types = {
-1150        "this": True,
-1151        "delete": False,
-1152        "recompress": False,
-1153        "to_disk": False,
-1154        "to_volume": False,
-1155    }
+            
    1182class MergeTreeTTLAction(Expression):
+1183    arg_types = {
+1184        "this": True,
+1185        "delete": False,
+1186        "recompress": False,
+1187        "to_disk": False,
+1188        "to_volume": False,
+1189    }
 
    
 
 
@@ -13705,13 +14028,13 @@ 
    Inherited Members
    
 
     
    
     
-            
    1159class MergeTreeTTL(Expression):
-1160    arg_types = {
-1161        "expressions": True,
-1162        "where": False,
-1163        "group": False,
-1164        "aggregates": False,
-1165    }
+            
    1193class MergeTreeTTL(Expression):
+1194    arg_types = {
+1195        "expressions": True,
+1196        "where": False,
+1197        "group": False,
+1198        "aggregates": False,
+1199    }
 
    
 
 
@@ -13775,12 +14098,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    1168class ColumnConstraint(Expression):
-1169    arg_types = {"this": False, "kind": True}
-1170
-1171    @property
-1172    def kind(self) -> ColumnConstraintKind:
-1173        return self.args["kind"]
+            
    1202class ColumnConstraint(Expression):
+1203    arg_types = {"this": False, "kind": True}
+1204
+1205    @property
+1206    def kind(self) -> ColumnConstraintKind:
+1207        return self.args["kind"]
 
    
 
 
@@ -13844,8 +14167,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1176class ColumnConstraintKind(Expression):
-1177    pass
+            
    1210class ColumnConstraintKind(Expression):
+1211    pass
 
    
 
 
@@ -13909,8 +14232,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1180class AutoIncrementColumnConstraint(ColumnConstraintKind):
-1181    pass
+            
    1214class AutoIncrementColumnConstraint(ColumnConstraintKind):
+1215    pass
 
    
 
 
@@ -13974,8 +14297,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1184class CaseSpecificColumnConstraint(ColumnConstraintKind):
-1185    arg_types = {"not_": True}
+            
    1218class CaseSpecificColumnConstraint(ColumnConstraintKind):
+1219    arg_types = {"not_": True}
 
    
 
 
@@ -14039,8 +14362,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1188class CharacterSetColumnConstraint(ColumnConstraintKind):
-1189    arg_types = {"this": True}
+            
    1222class CharacterSetColumnConstraint(ColumnConstraintKind):
+1223    arg_types = {"this": True}
 
    
 
 
@@ -14104,8 +14427,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1192class CheckColumnConstraint(ColumnConstraintKind):
-1193    pass
+            
    1226class CheckColumnConstraint(ColumnConstraintKind):
+1227    pass
 
    
 
 
@@ -14169,8 +14492,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1196class CollateColumnConstraint(ColumnConstraintKind):
-1197    pass
+            
    1230class CollateColumnConstraint(ColumnConstraintKind):
+1231    pass
 
    
 
 
@@ -14234,8 +14557,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1200class CommentColumnConstraint(ColumnConstraintKind):
-1201    pass
+            
    1234class CommentColumnConstraint(ColumnConstraintKind):
+1235    pass
 
    
 
 
@@ -14299,8 +14622,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1204class CompressColumnConstraint(ColumnConstraintKind):
-1205    pass
+            
    1238class CompressColumnConstraint(ColumnConstraintKind):
+1239    pass
 
    
 
 
@@ -14364,8 +14687,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1208class DateFormatColumnConstraint(ColumnConstraintKind):
-1209    arg_types = {"this": True}
+            
    1242class DateFormatColumnConstraint(ColumnConstraintKind):
+1243    arg_types = {"this": True}
 
    
 
 
@@ -14429,8 +14752,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1212class DefaultColumnConstraint(ColumnConstraintKind):
-1213    pass
+            
    1246class DefaultColumnConstraint(ColumnConstraintKind):
+1247    pass
 
    
 
 
@@ -14494,8 +14817,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1216class EncodeColumnConstraint(ColumnConstraintKind):
-1217    pass
+            
    1250class EncodeColumnConstraint(ColumnConstraintKind):
+1251    pass
 
    
 
 
@@ -14559,18 +14882,18 @@ 
    Inherited Members
    
 
     
    
     
-            
    1220class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind):
-1221    # this: True -> ALWAYS, this: False -> BY DEFAULT
-1222    arg_types = {
-1223        "this": False,
-1224        "expression": False,
-1225        "on_null": False,
-1226        "start": False,
-1227        "increment": False,
-1228        "minvalue": False,
-1229        "maxvalue": False,
-1230        "cycle": False,
-1231    }
+            
    1254class GeneratedAsIdentityColumnConstraint(ColumnConstraintKind):
+1255    # this: True -> ALWAYS, this: False -> BY DEFAULT
+1256    arg_types = {
+1257        "this": False,
+1258        "expression": False,
+1259        "on_null": False,
+1260        "start": False,
+1261        "increment": False,
+1262        "minvalue": False,
+1263        "maxvalue": False,
+1264        "cycle": False,
+1265    }
 
    
 
 
@@ -14634,8 +14957,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1234class InlineLengthColumnConstraint(ColumnConstraintKind):
-1235    pass
+            
    1268class InlineLengthColumnConstraint(ColumnConstraintKind):
+1269    pass
 
    
 
 
@@ -14699,8 +15022,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1238class NotNullColumnConstraint(ColumnConstraintKind):
-1239    arg_types = {"allow_null": False}
+            
    1272class NotNullColumnConstraint(ColumnConstraintKind):
+1273    arg_types = {"allow_null": False}
 
    
 
 
@@ -14764,8 +15087,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1243class OnUpdateColumnConstraint(ColumnConstraintKind):
-1244    pass
+            
    1277class OnUpdateColumnConstraint(ColumnConstraintKind):
+1278    pass
 
    
 
 
@@ -14829,8 +15152,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1247class PrimaryKeyColumnConstraint(ColumnConstraintKind):
-1248    arg_types = {"desc": False}
+            
    1281class PrimaryKeyColumnConstraint(ColumnConstraintKind):
+1282    arg_types = {"desc": False}
 
    
 
 
@@ -14894,8 +15217,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1251class TitleColumnConstraint(ColumnConstraintKind):
-1252    pass
+            
    1285class TitleColumnConstraint(ColumnConstraintKind):
+1286    pass
 
    
 
 
@@ -14959,8 +15282,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1255class UniqueColumnConstraint(ColumnConstraintKind):
-1256    arg_types: t.Dict[str, t.Any] = {}
+            
    1289class UniqueColumnConstraint(ColumnConstraintKind):
+1290    arg_types: t.Dict[str, t.Any] = {}
 
    
 
 
@@ -15024,8 +15347,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1259class UppercaseColumnConstraint(ColumnConstraintKind):
-1260    arg_types: t.Dict[str, t.Any] = {}
+            
    1293class UppercaseColumnConstraint(ColumnConstraintKind):
+1294    arg_types: t.Dict[str, t.Any] = {}
 
    
 
 
@@ -15089,8 +15412,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1263class PathColumnConstraint(ColumnConstraintKind):
-1264    pass
+            
    1297class PathColumnConstraint(ColumnConstraintKind):
+1298    pass
 
    
 
 
@@ -15154,8 +15477,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1267class Constraint(Expression):
-1268    arg_types = {"this": True, "expressions": True}
+            
    1301class Constraint(Expression):
+1302    arg_types = {"this": True, "expressions": True}
 
    
 
 
@@ -15219,115 +15542,115 @@ 
    Inherited Members
    
 
     
    
     
-            
    1271class Delete(Expression):
-1272    arg_types = {"with": False, "this": False, "using": False, "where": False, "returning": False}
-1273
-1274    def delete(
-1275        self,
-1276        table: ExpOrStr,
-1277        dialect: DialectType = None,
-1278        copy: bool = True,
-1279        **opts,
-1280    ) -> Delete:
-1281        """
-1282        Create a DELETE expression or replace the table on an existing DELETE expression.
-1283
-1284        Example:
-1285            >>> delete("tbl").sql()
-1286            'DELETE FROM tbl'
-1287
-1288        Args:
-1289            table: the table from which to delete.
-1290            dialect: the dialect used to parse the input expression.
-1291            copy: if `False`, modify this expression instance in-place.
-1292            opts: other options to use to parse the input expressions.
-1293
-1294        Returns:
-1295            Delete: the modified expression.
-1296        """
-1297        return _apply_builder(
-1298            expression=table,
-1299            instance=self,
-1300            arg="this",
-1301            dialect=dialect,
-1302            into=Table,
-1303            copy=copy,
-1304            **opts,
-1305        )
-1306
-1307    def where(
-1308        self,
-1309        *expressions: ExpOrStr,
-1310        append: bool = True,
+            
    1305class Delete(Expression):
+1306    arg_types = {"with": False, "this": False, "using": False, "where": False, "returning": False}
+1307
+1308    def delete(
+1309        self,
+1310        table: ExpOrStr,
 1311        dialect: DialectType = None,
 1312        copy: bool = True,
 1313        **opts,
 1314    ) -> Delete:
 1315        """
-1316        Append to or set the WHERE expressions.
+1316        Create a DELETE expression or replace the table on an existing DELETE expression.
 1317
 1318        Example:
-1319            >>> delete("tbl").where("x = 'a' OR x < 'b'").sql()
-1320            "DELETE FROM tbl WHERE x = 'a' OR x < 'b'"
+1319            >>> delete("tbl").sql()
+1320            'DELETE FROM tbl'
 1321
 1322        Args:
-1323            *expressions: the SQL code strings to parse.
-1324                If an `Expression` instance is passed, it will be used as-is.
-1325                Multiple expressions are combined with an AND operator.
-1326            append: if `True`, AND the new expressions to any existing expression.
-1327                Otherwise, this resets the expression.
-1328            dialect: the dialect used to parse the input expressions.
-1329            copy: if `False`, modify this expression instance in-place.
-1330            opts: other options to use to parse the input expressions.
-1331
-1332        Returns:
-1333            Delete: the modified expression.
-1334        """
-1335        return _apply_conjunction_builder(
-1336            *expressions,
-1337            instance=self,
-1338            arg="where",
-1339            append=append,
-1340            into=Where,
-1341            dialect=dialect,
-1342            copy=copy,
-1343            **opts,
-1344        )
-1345
-1346    def returning(
-1347        self,
-1348        expression: ExpOrStr,
-1349        dialect: DialectType = None,
-1350        copy: bool = True,
-1351        **opts,
-1352    ) -> Delete:
-1353        """
-1354        Set the RETURNING expression. Not supported by all dialects.
+1323            table: the table from which to delete.
+1324            dialect: the dialect used to parse the input expression.
+1325            copy: if `False`, modify this expression instance in-place.
+1326            opts: other options to use to parse the input expressions.
+1327
+1328        Returns:
+1329            Delete: the modified expression.
+1330        """
+1331        return _apply_builder(
+1332            expression=table,
+1333            instance=self,
+1334            arg="this",
+1335            dialect=dialect,
+1336            into=Table,
+1337            copy=copy,
+1338            **opts,
+1339        )
+1340
+1341    def where(
+1342        self,
+1343        *expressions: t.Optional[ExpOrStr],
+1344        append: bool = True,
+1345        dialect: DialectType = None,
+1346        copy: bool = True,
+1347        **opts,
+1348    ) -> Delete:
+1349        """
+1350        Append to or set the WHERE expressions.
+1351
+1352        Example:
+1353            >>> delete("tbl").where("x = 'a' OR x < 'b'").sql()
+1354            "DELETE FROM tbl WHERE x = 'a' OR x < 'b'"
 1355
-1356        Example:
-1357            >>> delete("tbl").returning("*", dialect="postgres").sql()
-1358            'DELETE FROM tbl RETURNING *'
-1359
-1360        Args:
-1361            expression: the SQL code strings to parse.
-1362                If an `Expression` instance is passed, it will be used as-is.
-1363            dialect: the dialect used to parse the input expressions.
-1364            copy: if `False`, modify this expression instance in-place.
-1365            opts: other options to use to parse the input expressions.
-1366
-1367        Returns:
-1368            Delete: the modified expression.
-1369        """
-1370        return _apply_builder(
-1371            expression=expression,
-1372            instance=self,
-1373            arg="returning",
-1374            prefix="RETURNING",
+1356        Args:
+1357            *expressions: the SQL code strings to parse.
+1358                If an `Expression` instance is passed, it will be used as-is.
+1359                Multiple expressions are combined with an AND operator.
+1360            append: if `True`, AND the new expressions to any existing expression.
+1361                Otherwise, this resets the expression.
+1362            dialect: the dialect used to parse the input expressions.
+1363            copy: if `False`, modify this expression instance in-place.
+1364            opts: other options to use to parse the input expressions.
+1365
+1366        Returns:
+1367            Delete: the modified expression.
+1368        """
+1369        return _apply_conjunction_builder(
+1370            *expressions,
+1371            instance=self,
+1372            arg="where",
+1373            append=append,
+1374            into=Where,
 1375            dialect=dialect,
 1376            copy=copy,
-1377            into=Returning,
-1378            **opts,
-1379        )
+1377            **opts,
+1378        )
+1379
+1380    def returning(
+1381        self,
+1382        expression: ExpOrStr,
+1383        dialect: DialectType = None,
+1384        copy: bool = True,
+1385        **opts,
+1386    ) -> Delete:
+1387        """
+1388        Set the RETURNING expression. Not supported by all dialects.
+1389
+1390        Example:
+1391            >>> delete("tbl").returning("*", dialect="postgres").sql()
+1392            'DELETE FROM tbl RETURNING *'
+1393
+1394        Args:
+1395            expression: the SQL code strings to parse.
+1396                If an `Expression` instance is passed, it will be used as-is.
+1397            dialect: the dialect used to parse the input expressions.
+1398            copy: if `False`, modify this expression instance in-place.
+1399            opts: other options to use to parse the input expressions.
+1400
+1401        Returns:
+1402            Delete: the modified expression.
+1403        """
+1404        return _apply_builder(
+1405            expression=expression,
+1406            instance=self,
+1407            arg="returning",
+1408            prefix="RETURNING",
+1409            dialect=dialect,
+1410            copy=copy,
+1411            into=Returning,
+1412            **opts,
+1413        )
 
    
 
 
@@ -15344,38 +15667,38 @@ 
    Inherited Members
    
 
     
    
     
-            
    1274    def delete(
-1275        self,
-1276        table: ExpOrStr,
-1277        dialect: DialectType = None,
-1278        copy: bool = True,
-1279        **opts,
-1280    ) -> Delete:
-1281        """
-1282        Create a DELETE expression or replace the table on an existing DELETE expression.
-1283
-1284        Example:
-1285            >>> delete("tbl").sql()
-1286            'DELETE FROM tbl'
-1287
-1288        Args:
-1289            table: the table from which to delete.
-1290            dialect: the dialect used to parse the input expression.
-1291            copy: if `False`, modify this expression instance in-place.
-1292            opts: other options to use to parse the input expressions.
-1293
-1294        Returns:
-1295            Delete: the modified expression.
-1296        """
-1297        return _apply_builder(
-1298            expression=table,
-1299            instance=self,
-1300            arg="this",
-1301            dialect=dialect,
-1302            into=Table,
-1303            copy=copy,
-1304            **opts,
-1305        )
+            
    1308    def delete(
+1309        self,
+1310        table: ExpOrStr,
+1311        dialect: DialectType = None,
+1312        copy: bool = True,
+1313        **opts,
+1314    ) -> Delete:
+1315        """
+1316        Create a DELETE expression or replace the table on an existing DELETE expression.
+1317
+1318        Example:
+1319            >>> delete("tbl").sql()
+1320            'DELETE FROM tbl'
+1321
+1322        Args:
+1323            table: the table from which to delete.
+1324            dialect: the dialect used to parse the input expression.
+1325            copy: if `False`, modify this expression instance in-place.
+1326            opts: other options to use to parse the input expressions.
+1327
+1328        Returns:
+1329            Delete: the modified expression.
+1330        """
+1331        return _apply_builder(
+1332            expression=table,
+1333            instance=self,
+1334            arg="this",
+1335            dialect=dialect,
+1336            into=Table,
+1337            copy=copy,
+1338            **opts,
+1339        )
 
    
 
 
@@ -15414,50 +15737,50 @@ 
    Returns:
    
 
    
             
         def
-        where(	self,	*expressions: Union[str, sqlglot.expressions.Expression],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Delete:
+        where(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Delete:
 
                 
 
     
    
     
-            
    1307    def where(
-1308        self,
-1309        *expressions: ExpOrStr,
-1310        append: bool = True,
-1311        dialect: DialectType = None,
-1312        copy: bool = True,
-1313        **opts,
-1314    ) -> Delete:
-1315        """
-1316        Append to or set the WHERE expressions.
-1317
-1318        Example:
-1319            >>> delete("tbl").where("x = 'a' OR x < 'b'").sql()
-1320            "DELETE FROM tbl WHERE x = 'a' OR x < 'b'"
-1321
-1322        Args:
-1323            *expressions: the SQL code strings to parse.
-1324                If an `Expression` instance is passed, it will be used as-is.
-1325                Multiple expressions are combined with an AND operator.
-1326            append: if `True`, AND the new expressions to any existing expression.
-1327                Otherwise, this resets the expression.
-1328            dialect: the dialect used to parse the input expressions.
-1329            copy: if `False`, modify this expression instance in-place.
-1330            opts: other options to use to parse the input expressions.
-1331
-1332        Returns:
-1333            Delete: the modified expression.
-1334        """
-1335        return _apply_conjunction_builder(
-1336            *expressions,
-1337            instance=self,
-1338            arg="where",
-1339            append=append,
-1340            into=Where,
-1341            dialect=dialect,
-1342            copy=copy,
-1343            **opts,
-1344        )
+            
    1341    def where(
+1342        self,
+1343        *expressions: t.Optional[ExpOrStr],
+1344        append: bool = True,
+1345        dialect: DialectType = None,
+1346        copy: bool = True,
+1347        **opts,
+1348    ) -> Delete:
+1349        """
+1350        Append to or set the WHERE expressions.
+1351
+1352        Example:
+1353            >>> delete("tbl").where("x = 'a' OR x < 'b'").sql()
+1354            "DELETE FROM tbl WHERE x = 'a' OR x < 'b'"
+1355
+1356        Args:
+1357            *expressions: the SQL code strings to parse.
+1358                If an `Expression` instance is passed, it will be used as-is.
+1359                Multiple expressions are combined with an AND operator.
+1360            append: if `True`, AND the new expressions to any existing expression.
+1361                Otherwise, this resets the expression.
+1362            dialect: the dialect used to parse the input expressions.
+1363            copy: if `False`, modify this expression instance in-place.
+1364            opts: other options to use to parse the input expressions.
+1365
+1366        Returns:
+1367            Delete: the modified expression.
+1368        """
+1369        return _apply_conjunction_builder(
+1370            *expressions,
+1371            instance=self,
+1372            arg="where",
+1373            append=append,
+1374            into=Where,
+1375            dialect=dialect,
+1376            copy=copy,
+1377            **opts,
+1378        )
 
    
 
 
@@ -15506,40 +15829,40 @@ 
    Returns:
    
 
     
    
     
-            
    1346    def returning(
-1347        self,
-1348        expression: ExpOrStr,
-1349        dialect: DialectType = None,
-1350        copy: bool = True,
-1351        **opts,
-1352    ) -> Delete:
-1353        """
-1354        Set the RETURNING expression. Not supported by all dialects.
-1355
-1356        Example:
-1357            >>> delete("tbl").returning("*", dialect="postgres").sql()
-1358            'DELETE FROM tbl RETURNING *'
-1359
-1360        Args:
-1361            expression: the SQL code strings to parse.
-1362                If an `Expression` instance is passed, it will be used as-is.
-1363            dialect: the dialect used to parse the input expressions.
-1364            copy: if `False`, modify this expression instance in-place.
-1365            opts: other options to use to parse the input expressions.
-1366
-1367        Returns:
-1368            Delete: the modified expression.
-1369        """
-1370        return _apply_builder(
-1371            expression=expression,
-1372            instance=self,
-1373            arg="returning",
-1374            prefix="RETURNING",
-1375            dialect=dialect,
-1376            copy=copy,
-1377            into=Returning,
-1378            **opts,
-1379        )
+            
    1380    def returning(
+1381        self,
+1382        expression: ExpOrStr,
+1383        dialect: DialectType = None,
+1384        copy: bool = True,
+1385        **opts,
+1386    ) -> Delete:
+1387        """
+1388        Set the RETURNING expression. Not supported by all dialects.
+1389
+1390        Example:
+1391            >>> delete("tbl").returning("*", dialect="postgres").sql()
+1392            'DELETE FROM tbl RETURNING *'
+1393
+1394        Args:
+1395            expression: the SQL code strings to parse.
+1396                If an `Expression` instance is passed, it will be used as-is.
+1397            dialect: the dialect used to parse the input expressions.
+1398            copy: if `False`, modify this expression instance in-place.
+1399            opts: other options to use to parse the input expressions.
+1400
+1401        Returns:
+1402            Delete: the modified expression.
+1403        """
+1404        return _apply_builder(
+1405            expression=expression,
+1406            instance=self,
+1407            arg="returning",
+1408            prefix="RETURNING",
+1409            dialect=dialect,
+1410            copy=copy,
+1411            into=Returning,
+1412            **opts,
+1413        )
 
    
 
 
@@ -15632,17 +15955,17 @@ 
    Inherited Members
    
 
     
    
     
-            
    1382class Drop(Expression):
-1383    arg_types = {
-1384        "this": False,
-1385        "kind": False,
-1386        "exists": False,
-1387        "temporary": False,
-1388        "materialized": False,
-1389        "cascade": False,
-1390        "constraints": False,
-1391        "purge": False,
-1392    }
+            
    1416class Drop(Expression):
+1417    arg_types = {
+1418        "this": False,
+1419        "kind": False,
+1420        "exists": False,
+1421        "temporary": False,
+1422        "materialized": False,
+1423        "cascade": False,
+1424        "constraints": False,
+1425        "purge": False,
+1426    }
 
    
 
 
@@ -15706,8 +16029,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1395class Filter(Expression):
-1396    arg_types = {"this": True, "expression": True}
+            
    1429class Filter(Expression):
+1430    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -15771,8 +16094,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1399class Check(Expression):
-1400    pass
+            
    1433class Check(Expression):
+1434    pass
 
    
 
 
@@ -15836,9 +16159,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    1403class Directory(Expression):
-1404    # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html
-1405    arg_types = {"this": True, "local": False, "row_format": False}
+            
    1437class Directory(Expression):
+1438    # https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-dml-insert-overwrite-directory-hive.html
+1439    arg_types = {"this": True, "local": False, "row_format": False}
 
    
 
 
@@ -15902,13 +16225,13 @@ 
    Inherited Members
    
 
     
    
     
-            
    1408class ForeignKey(Expression):
-1409    arg_types = {
-1410        "expressions": True,
-1411        "reference": False,
-1412        "delete": False,
-1413        "update": False,
-1414    }
+            
    1442class ForeignKey(Expression):
+1443    arg_types = {
+1444        "expressions": True,
+1445        "reference": False,
+1446        "delete": False,
+1447        "update": False,
+1448    }
 
    
 
 
@@ -15972,8 +16295,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1417class PrimaryKey(Expression):
-1418    arg_types = {"expressions": True, "options": False}
+            
    1451class PrimaryKey(Expression):
+1452    arg_types = {"expressions": True, "options": False}
 
    
 
 
@@ -16037,8 +16360,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1421class Unique(Expression):
-1422    arg_types = {"expressions": True}
+            
    1455class Unique(Expression):
+1456    arg_types = {"expressions": True}
 
    
 
 
@@ -16102,8 +16425,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1427class Into(Expression):
-1428    arg_types = {"this": True, "temporary": False, "unlogged": False}
+            
    1461class Into(Expression):
+1462    arg_types = {"this": True, "temporary": False, "unlogged": False}
 
    
 
 
@@ -16167,14 +16490,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1431class From(Expression):
-1432    @property
-1433    def name(self) -> str:
-1434        return self.this.name
-1435
-1436    @property
-1437    def alias_or_name(self) -> str:
-1438        return self.this.alias_or_name
+            
    1465class From(Expression):
+1466    @property
+1467    def name(self) -> str:
+1468        return self.this.name
+1469
+1470    @property
+1471    def alias_or_name(self) -> str:
+1472        return self.this.alias_or_name
 
    
 
 
@@ -16238,8 +16561,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1441class Having(Expression):
-1442    pass
+            
    1475class Having(Expression):
+1476    pass
 
    
 
 
@@ -16303,8 +16626,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1445class Hint(Expression):
-1446    arg_types = {"expressions": True}
+            
    1479class Hint(Expression):
+1480    arg_types = {"expressions": True}
 
    
 
 
@@ -16368,8 +16691,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1449class JoinHint(Expression):
-1450    arg_types = {"this": True, "expressions": True}
+            
    1483class JoinHint(Expression):
+1484    arg_types = {"this": True, "expressions": True}
 
    
 
 
@@ -16433,22 +16756,22 @@ 
    Inherited Members
    
 
     
    
     
-            
    1453class Identifier(Expression):
-1454    arg_types = {"this": True, "quoted": False}
-1455
-1456    @property
-1457    def quoted(self):
-1458        return bool(self.args.get("quoted"))
-1459
-1460    @property
-1461    def hashable_args(self) -> t.Any:
-1462        if self.quoted and any(char.isupper() for char in self.this):
-1463            return (self.this, self.quoted)
-1464        return self.this.lower()
-1465
-1466    @property
-1467    def output_name(self):
-1468        return self.name
+            
    1487class Identifier(Expression):
+1488    arg_types = {"this": True, "quoted": False}
+1489
+1490    @property
+1491    def quoted(self) -> bool:
+1492        return bool(self.args.get("quoted"))
+1493
+1494    @property
+1495    def hashable_args(self) -> t.Any:
+1496        if self.quoted and any(char.isupper() for char in self.this):
+1497            return (self.this, self.quoted)
+1498        return self.this.lower()
+1499
+1500    @property
+1501    def output_name(self) -> str:
+1502        return self.name
 
    
 
 
@@ -16456,7 +16779,7 @@ 
    Inherited Members
    
 
                             
    
                                 
    
-            output_name
+            output_name: str
 
         
     
    
@@ -16541,16 +16864,16 @@ 
    Inherited Members
    
 
     
    
     
-            
    1471class Index(Expression):
-1472    arg_types = {
-1473        "this": False,
-1474        "table": False,
-1475        "where": False,
-1476        "columns": False,
-1477        "unique": False,
-1478        "primary": False,
-1479        "amp": False,  # teradata
-1480    }
+            
    1505class Index(Expression):
+1506    arg_types = {
+1507        "this": False,
+1508        "table": False,
+1509        "where": False,
+1510        "columns": False,
+1511        "unique": False,
+1512        "primary": False,
+1513        "amp": False,  # teradata
+1514    }
 
    
 
 
@@ -16614,54 +16937,54 @@ 
    Inherited Members
    
 
     
    
     
-            
    1483class Insert(Expression):
-1484    arg_types = {
-1485        "with": False,
-1486        "this": True,
-1487        "expression": False,
-1488        "conflict": False,
-1489        "returning": False,
-1490        "overwrite": False,
-1491        "exists": False,
-1492        "partition": False,
-1493        "alternative": False,
-1494    }
-1495
-1496    def with_(
-1497        self,
-1498        alias: ExpOrStr,
-1499        as_: ExpOrStr,
-1500        recursive: t.Optional[bool] = None,
-1501        append: bool = True,
-1502        dialect: DialectType = None,
-1503        copy: bool = True,
-1504        **opts,
-1505    ) -> Insert:
-1506        """
-1507        Append to or set the common table expressions.
-1508
-1509        Example:
-1510            >>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()
-1511            'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'
-1512
-1513        Args:
-1514            alias: the SQL code string to parse as the table name.
-1515                If an `Expression` instance is passed, this is used as-is.
-1516            as_: the SQL code string to parse as the table expression.
-1517                If an `Expression` instance is passed, it will be used as-is.
-1518            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
-1519            append: if `True`, add to any existing expressions.
-1520                Otherwise, this resets the expressions.
-1521            dialect: the dialect used to parse the input expression.
-1522            copy: if `False`, modify this expression instance in-place.
-1523            opts: other options to use to parse the input expressions.
-1524
-1525        Returns:
-1526            The modified expression.
-1527        """
-1528        return _apply_cte_builder(
-1529            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
-1530        )
+            
    1517class Insert(Expression):
+1518    arg_types = {
+1519        "with": False,
+1520        "this": True,
+1521        "expression": False,
+1522        "conflict": False,
+1523        "returning": False,
+1524        "overwrite": False,
+1525        "exists": False,
+1526        "partition": False,
+1527        "alternative": False,
+1528    }
+1529
+1530    def with_(
+1531        self,
+1532        alias: ExpOrStr,
+1533        as_: ExpOrStr,
+1534        recursive: t.Optional[bool] = None,
+1535        append: bool = True,
+1536        dialect: DialectType = None,
+1537        copy: bool = True,
+1538        **opts,
+1539    ) -> Insert:
+1540        """
+1541        Append to or set the common table expressions.
+1542
+1543        Example:
+1544            >>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()
+1545            'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'
+1546
+1547        Args:
+1548            alias: the SQL code string to parse as the table name.
+1549                If an `Expression` instance is passed, this is used as-is.
+1550            as_: the SQL code string to parse as the table expression.
+1551                If an `Expression` instance is passed, it will be used as-is.
+1552            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
+1553            append: if `True`, add to any existing expressions.
+1554                Otherwise, this resets the expressions.
+1555            dialect: the dialect used to parse the input expression.
+1556            copy: if `False`, modify this expression instance in-place.
+1557            opts: other options to use to parse the input expressions.
+1558
+1559        Returns:
+1560            The modified expression.
+1561        """
+1562        return _apply_cte_builder(
+1563            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
+1564        )
 
    
 
 
@@ -16678,41 +17001,41 @@ 
    Inherited Members
    
 
     
    
     
-            
    1496    def with_(
-1497        self,
-1498        alias: ExpOrStr,
-1499        as_: ExpOrStr,
-1500        recursive: t.Optional[bool] = None,
-1501        append: bool = True,
-1502        dialect: DialectType = None,
-1503        copy: bool = True,
-1504        **opts,
-1505    ) -> Insert:
-1506        """
-1507        Append to or set the common table expressions.
-1508
-1509        Example:
-1510            >>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()
-1511            'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'
-1512
-1513        Args:
-1514            alias: the SQL code string to parse as the table name.
-1515                If an `Expression` instance is passed, this is used as-is.
-1516            as_: the SQL code string to parse as the table expression.
-1517                If an `Expression` instance is passed, it will be used as-is.
-1518            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
-1519            append: if `True`, add to any existing expressions.
-1520                Otherwise, this resets the expressions.
-1521            dialect: the dialect used to parse the input expression.
-1522            copy: if `False`, modify this expression instance in-place.
-1523            opts: other options to use to parse the input expressions.
-1524
-1525        Returns:
-1526            The modified expression.
-1527        """
-1528        return _apply_cte_builder(
-1529            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
-1530        )
+            
    1530    def with_(
+1531        self,
+1532        alias: ExpOrStr,
+1533        as_: ExpOrStr,
+1534        recursive: t.Optional[bool] = None,
+1535        append: bool = True,
+1536        dialect: DialectType = None,
+1537        copy: bool = True,
+1538        **opts,
+1539    ) -> Insert:
+1540        """
+1541        Append to or set the common table expressions.
+1542
+1543        Example:
+1544            >>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()
+1545            'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'
+1546
+1547        Args:
+1548            alias: the SQL code string to parse as the table name.
+1549                If an `Expression` instance is passed, this is used as-is.
+1550            as_: the SQL code string to parse as the table expression.
+1551                If an `Expression` instance is passed, it will be used as-is.
+1552            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
+1553            append: if `True`, add to any existing expressions.
+1554                Otherwise, this resets the expressions.
+1555            dialect: the dialect used to parse the input expression.
+1556            copy: if `False`, modify this expression instance in-place.
+1557            opts: other options to use to parse the input expressions.
+1558
+1559        Returns:
+1560            The modified expression.
+1561        """
+1562        return _apply_cte_builder(
+1563            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
+1564        )
 
    
 
 
@@ -16810,14 +17133,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1533class OnConflict(Expression):
-1534    arg_types = {
-1535        "duplicate": False,
-1536        "expressions": False,
-1537        "nothing": False,
-1538        "key": False,
-1539        "constraint": False,
-1540    }
+            
    1567class OnConflict(Expression):
+1568    arg_types = {
+1569        "duplicate": False,
+1570        "expressions": False,
+1571        "nothing": False,
+1572        "key": False,
+1573        "constraint": False,
+1574    }
 
    
 
 
@@ -16881,8 +17204,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1543class Returning(Expression):
-1544    arg_types = {"expressions": True}
+            
    1577class Returning(Expression):
+1578    arg_types = {"expressions": True}
 
    
 
 
@@ -16946,8 +17269,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1548class Introducer(Expression):
-1549    arg_types = {"this": True, "expression": True}
+            
    1582class Introducer(Expression):
+1583    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -17011,8 +17334,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1553class National(Expression):
-1554    pass
+            
    1587class National(Expression):
+1588    pass
 
    
 
 
@@ -17076,16 +17399,16 @@ 
    Inherited Members
    
 
     
    
     
-            
    1557class LoadData(Expression):
-1558    arg_types = {
-1559        "this": True,
-1560        "local": False,
-1561        "overwrite": False,
-1562        "inpath": True,
-1563        "partition": False,
-1564        "input_format": False,
-1565        "serde": False,
-1566    }
+            
    1591class LoadData(Expression):
+1592    arg_types = {
+1593        "this": True,
+1594        "local": False,
+1595        "overwrite": False,
+1596        "inpath": True,
+1597        "partition": False,
+1598        "input_format": False,
+1599        "serde": False,
+1600    }
 
    
 
 
@@ -17149,8 +17472,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1569class Partition(Expression):
-1570    arg_types = {"expressions": True}
+            
    1603class Partition(Expression):
+1604    arg_types = {"expressions": True}
 
    
 
 
@@ -17214,13 +17537,13 @@ 
    Inherited Members
    
 
     
    
     
-            
    1573class Fetch(Expression):
-1574    arg_types = {
-1575        "direction": False,
-1576        "count": False,
-1577        "percent": False,
-1578        "with_ties": False,
-1579    }
+            
    1607class Fetch(Expression):
+1608    arg_types = {
+1609        "direction": False,
+1610        "count": False,
+1611        "percent": False,
+1612        "with_ties": False,
+1613    }
 
    
 
 
@@ -17284,14 +17607,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1582class Group(Expression):
-1583    arg_types = {
-1584        "expressions": False,
-1585        "grouping_sets": False,
-1586        "cube": False,
-1587        "rollup": False,
-1588        "totals": False,
-1589    }
+            
    1616class Group(Expression):
+1617    arg_types = {
+1618        "expressions": False,
+1619        "grouping_sets": False,
+1620        "cube": False,
+1621        "rollup": False,
+1622        "totals": False,
+1623    }
 
    
 
 
@@ -17355,8 +17678,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1592class Lambda(Expression):
-1593    arg_types = {"this": True, "expressions": True}
+            
    1626class Lambda(Expression):
+1627    arg_types = {"this": True, "expressions": True}
 
    
 
 
@@ -17420,8 +17743,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1596class Limit(Expression):
-1597    arg_types = {"this": False, "expression": True}
+            
    1630class Limit(Expression):
+1631    arg_types = {"this": False, "expression": True}
 
    
 
 
@@ -17485,24 +17808,24 @@ 
    Inherited Members
    
 
     
    
     
-            
    1600class Literal(Condition):
-1601    arg_types = {"this": True, "is_string": True}
-1602
-1603    @property
-1604    def hashable_args(self) -> t.Any:
-1605        return (self.this, self.args.get("is_string"))
-1606
-1607    @classmethod
-1608    def number(cls, number) -> Literal:
-1609        return cls(this=str(number), is_string=False)
-1610
-1611    @classmethod
-1612    def string(cls, string) -> Literal:
-1613        return cls(this=str(string), is_string=True)
-1614
-1615    @property
-1616    def output_name(self):
-1617        return self.name
+            
    1634class Literal(Condition):
+1635    arg_types = {"this": True, "is_string": True}
+1636
+1637    @property
+1638    def hashable_args(self) -> t.Any:
+1639        return (self.this, self.args.get("is_string"))
+1640
+1641    @classmethod
+1642    def number(cls, number) -> Literal:
+1643        return cls(this=str(number), is_string=False)
+1644
+1645    @classmethod
+1646    def string(cls, string) -> Literal:
+1647        return cls(this=str(string), is_string=True)
+1648
+1649    @property
+1650    def output_name(self) -> str:
+1651        return self.name
 
    
 
 
@@ -17520,9 +17843,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    1607    @classmethod
-1608    def number(cls, number) -> Literal:
-1609        return cls(this=str(number), is_string=False)
+            
    1641    @classmethod
+1642    def number(cls, number) -> Literal:
+1643        return cls(this=str(number), is_string=False)
 
    
 
 
@@ -17541,9 +17864,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    1611    @classmethod
-1612    def string(cls, string) -> Literal:
-1613        return cls(this=str(string), is_string=True)
+            
    1645    @classmethod
+1646    def string(cls, string) -> Literal:
+1647        return cls(this=str(string), is_string=True)
 
    
 
 
@@ -17552,7 +17875,7 @@ 
    Inherited Members
    
                             
    
                             
    
                                 
    
-            output_name
+            output_name: str
 
         
     
    
@@ -17652,106 +17975,120 @@ 
    Inherited Members
    
 
     
    
     
-            
    1620class Join(Expression):
-1621    arg_types = {
-1622        "this": True,
-1623        "on": False,
-1624        "side": False,
-1625        "kind": False,
-1626        "using": False,
-1627        "natural": False,
-1628        "global": False,
-1629        "hint": False,
-1630    }
-1631
-1632    @property
-1633    def kind(self):
-1634        return self.text("kind").upper()
-1635
-1636    @property
-1637    def side(self):
-1638        return self.text("side").upper()
-1639
-1640    @property
-1641    def hint(self):
-1642        return self.text("hint").upper()
-1643
-1644    @property
-1645    def alias_or_name(self):
-1646        return self.this.alias_or_name
-1647
-1648    def on(self, *expressions, append=True, dialect=None, copy=True, **opts):
-1649        """
-1650        Append to or set the ON expressions.
-1651
-1652        Example:
-1653            >>> import sqlglot
-1654            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
-1655            'JOIN x ON y = 1'
-1656
-1657        Args:
-1658            *expressions (str | Expression): the SQL code strings to parse.
-1659                If an `Expression` instance is passed, it will be used as-is.
-1660                Multiple expressions are combined with an AND operator.
-1661            append (bool): if `True`, AND the new expressions to any existing expression.
-1662                Otherwise, this resets the expression.
-1663            dialect (str): the dialect used to parse the input expressions.
-1664            copy (bool): if `False`, modify this expression instance in-place.
-1665            opts (kwargs): other options to use to parse the input expressions.
-1666
-1667        Returns:
-1668            Join: the modified join expression.
-1669        """
-1670        join = _apply_conjunction_builder(
-1671            *expressions,
-1672            instance=self,
-1673            arg="on",
-1674            append=append,
-1675            dialect=dialect,
-1676            copy=copy,
-1677            **opts,
-1678        )
-1679
-1680        if join.kind == "CROSS":
-1681            join.set("kind", None)
-1682
-1683        return join
-1684
-1685    def using(self, *expressions, append=True, dialect=None, copy=True, **opts):
-1686        """
-1687        Append to or set the USING expressions.
-1688
-1689        Example:
-1690            >>> import sqlglot
-1691            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
-1692            'JOIN x USING (foo, bla)'
-1693
-1694        Args:
-1695            *expressions (str | Expression): the SQL code strings to parse.
-1696                If an `Expression` instance is passed, it will be used as-is.
-1697            append (bool): if `True`, concatenate the new expressions to the existing "using" list.
-1698                Otherwise, this resets the expression.
-1699            dialect (str): the dialect used to parse the input expressions.
-1700            copy (bool): if `False`, modify this expression instance in-place.
-1701            opts (kwargs): other options to use to parse the input expressions.
-1702
-1703        Returns:
-1704            Join: the modified join expression.
-1705        """
-1706        join = _apply_list_builder(
-1707            *expressions,
-1708            instance=self,
-1709            arg="using",
-1710            append=append,
-1711            dialect=dialect,
-1712            copy=copy,
-1713            **opts,
-1714        )
-1715
-1716        if join.kind == "CROSS":
-1717            join.set("kind", None)
-1718
-1719        return join
+            
    1654class Join(Expression):
+1655    arg_types = {
+1656        "this": True,
+1657        "on": False,
+1658        "side": False,
+1659        "kind": False,
+1660        "using": False,
+1661        "natural": False,
+1662        "global": False,
+1663        "hint": False,
+1664    }
+1665
+1666    @property
+1667    def kind(self) -> str:
+1668        return self.text("kind").upper()
+1669
+1670    @property
+1671    def side(self) -> str:
+1672        return self.text("side").upper()
+1673
+1674    @property
+1675    def hint(self) -> str:
+1676        return self.text("hint").upper()
+1677
+1678    @property
+1679    def alias_or_name(self) -> str:
+1680        return self.this.alias_or_name
+1681
+1682    def on(
+1683        self,
+1684        *expressions: t.Optional[ExpOrStr],
+1685        append: bool = True,
+1686        dialect: DialectType = None,
+1687        copy: bool = True,
+1688        **opts,
+1689    ) -> Join:
+1690        """
+1691        Append to or set the ON expressions.
+1692
+1693        Example:
+1694            >>> import sqlglot
+1695            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
+1696            'JOIN x ON y = 1'
+1697
+1698        Args:
+1699            *expressions: the SQL code strings to parse.
+1700                If an `Expression` instance is passed, it will be used as-is.
+1701                Multiple expressions are combined with an AND operator.
+1702            append: if `True`, AND the new expressions to any existing expression.
+1703                Otherwise, this resets the expression.
+1704            dialect: the dialect used to parse the input expressions.
+1705            copy: if `False`, modify this expression instance in-place.
+1706            opts: other options to use to parse the input expressions.
+1707
+1708        Returns:
+1709            The modified Join expression.
+1710        """
+1711        join = _apply_conjunction_builder(
+1712            *expressions,
+1713            instance=self,
+1714            arg="on",
+1715            append=append,
+1716            dialect=dialect,
+1717            copy=copy,
+1718            **opts,
+1719        )
+1720
+1721        if join.kind == "CROSS":
+1722            join.set("kind", None)
+1723
+1724        return join
+1725
+1726    def using(
+1727        self,
+1728        *expressions: t.Optional[ExpOrStr],
+1729        append: bool = True,
+1730        dialect: DialectType = None,
+1731        copy: bool = True,
+1732        **opts,
+1733    ) -> Join:
+1734        """
+1735        Append to or set the USING expressions.
+1736
+1737        Example:
+1738            >>> import sqlglot
+1739            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
+1740            'JOIN x USING (foo, bla)'
+1741
+1742        Args:
+1743            *expressions: the SQL code strings to parse.
+1744                If an `Expression` instance is passed, it will be used as-is.
+1745            append: if `True`, concatenate the new expressions to the existing "using" list.
+1746                Otherwise, this resets the expression.
+1747            dialect: the dialect used to parse the input expressions.
+1748            copy: if `False`, modify this expression instance in-place.
+1749            opts: other options to use to parse the input expressions.
+1750
+1751        Returns:
+1752            The modified Join expression.
+1753        """
+1754        join = _apply_list_builder(
+1755            *expressions,
+1756            instance=self,
+1757            arg="using",
+1758            append=append,
+1759            dialect=dialect,
+1760            copy=copy,
+1761            **opts,
+1762        )
+1763
+1764        if join.kind == "CROSS":
+1765            join.set("kind", None)
+1766
+1767        return join
 
    
 
 
@@ -17762,48 +18099,55 @@ 
    Inherited Members
    
 
    
             
         def
-        on(self, *expressions, append=True, dialect=None, copy=True, **opts):
+        on(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Join:
 
                 
 
     
    
     
-            
    1648    def on(self, *expressions, append=True, dialect=None, copy=True, **opts):
-1649        """
-1650        Append to or set the ON expressions.
-1651
-1652        Example:
-1653            >>> import sqlglot
-1654            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
-1655            'JOIN x ON y = 1'
-1656
-1657        Args:
-1658            *expressions (str | Expression): the SQL code strings to parse.
-1659                If an `Expression` instance is passed, it will be used as-is.
-1660                Multiple expressions are combined with an AND operator.
-1661            append (bool): if `True`, AND the new expressions to any existing expression.
-1662                Otherwise, this resets the expression.
-1663            dialect (str): the dialect used to parse the input expressions.
-1664            copy (bool): if `False`, modify this expression instance in-place.
-1665            opts (kwargs): other options to use to parse the input expressions.
-1666
-1667        Returns:
-1668            Join: the modified join expression.
-1669        """
-1670        join = _apply_conjunction_builder(
-1671            *expressions,
-1672            instance=self,
-1673            arg="on",
-1674            append=append,
-1675            dialect=dialect,
-1676            copy=copy,
-1677            **opts,
-1678        )
-1679
-1680        if join.kind == "CROSS":
-1681            join.set("kind", None)
-1682
-1683        return join
+            
    1682    def on(
+1683        self,
+1684        *expressions: t.Optional[ExpOrStr],
+1685        append: bool = True,
+1686        dialect: DialectType = None,
+1687        copy: bool = True,
+1688        **opts,
+1689    ) -> Join:
+1690        """
+1691        Append to or set the ON expressions.
+1692
+1693        Example:
+1694            >>> import sqlglot
+1695            >>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()
+1696            'JOIN x ON y = 1'
+1697
+1698        Args:
+1699            *expressions: the SQL code strings to parse.
+1700                If an `Expression` instance is passed, it will be used as-is.
+1701                Multiple expressions are combined with an AND operator.
+1702            append: if `True`, AND the new expressions to any existing expression.
+1703                Otherwise, this resets the expression.
+1704            dialect: the dialect used to parse the input expressions.
+1705            copy: if `False`, modify this expression instance in-place.
+1706            opts: other options to use to parse the input expressions.
+1707
+1708        Returns:
+1709            The modified Join expression.
+1710        """
+1711        join = _apply_conjunction_builder(
+1712            *expressions,
+1713            instance=self,
+1714            arg="on",
+1715            append=append,
+1716            dialect=dialect,
+1717            copy=copy,
+1718            **opts,
+1719        )
+1720
+1721        if join.kind == "CROSS":
+1722            join.set("kind", None)
+1723
+1724        return join
 
    
 
 
@@ -17823,20 +18167,20 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, it will be used as-is.
 Multiple expressions are combined with an AND operator.
      • 
-
    • append (bool):  if True, AND the new expressions to any existing expression.
+
    • append:  if True, AND the new expressions to any existing expression.
 Otherwise, this resets the expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expressions.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expressions.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Join: the modified join expression.
    
+  
    The modified Join expression.
    
 
    
 
    
 
@@ -17847,47 +18191,54 @@ 
    Returns:
    
 
    
             
         def
-        using(self, *expressions, append=True, dialect=None, copy=True, **opts):
+        using(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Join:
 
                 
 
     
    
     
-            
    1685    def using(self, *expressions, append=True, dialect=None, copy=True, **opts):
-1686        """
-1687        Append to or set the USING expressions.
-1688
-1689        Example:
-1690            >>> import sqlglot
-1691            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
-1692            'JOIN x USING (foo, bla)'
-1693
-1694        Args:
-1695            *expressions (str | Expression): the SQL code strings to parse.
-1696                If an `Expression` instance is passed, it will be used as-is.
-1697            append (bool): if `True`, concatenate the new expressions to the existing "using" list.
-1698                Otherwise, this resets the expression.
-1699            dialect (str): the dialect used to parse the input expressions.
-1700            copy (bool): if `False`, modify this expression instance in-place.
-1701            opts (kwargs): other options to use to parse the input expressions.
-1702
-1703        Returns:
-1704            Join: the modified join expression.
-1705        """
-1706        join = _apply_list_builder(
-1707            *expressions,
-1708            instance=self,
-1709            arg="using",
-1710            append=append,
-1711            dialect=dialect,
-1712            copy=copy,
-1713            **opts,
-1714        )
-1715
-1716        if join.kind == "CROSS":
-1717            join.set("kind", None)
-1718
-1719        return join
+            
    1726    def using(
+1727        self,
+1728        *expressions: t.Optional[ExpOrStr],
+1729        append: bool = True,
+1730        dialect: DialectType = None,
+1731        copy: bool = True,
+1732        **opts,
+1733    ) -> Join:
+1734        """
+1735        Append to or set the USING expressions.
+1736
+1737        Example:
+1738            >>> import sqlglot
+1739            >>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()
+1740            'JOIN x USING (foo, bla)'
+1741
+1742        Args:
+1743            *expressions: the SQL code strings to parse.
+1744                If an `Expression` instance is passed, it will be used as-is.
+1745            append: if `True`, concatenate the new expressions to the existing "using" list.
+1746                Otherwise, this resets the expression.
+1747            dialect: the dialect used to parse the input expressions.
+1748            copy: if `False`, modify this expression instance in-place.
+1749            opts: other options to use to parse the input expressions.
+1750
+1751        Returns:
+1752            The modified Join expression.
+1753        """
+1754        join = _apply_list_builder(
+1755            *expressions,
+1756            instance=self,
+1757            arg="using",
+1758            append=append,
+1759            dialect=dialect,
+1760            copy=copy,
+1761            **opts,
+1762        )
+1763
+1764        if join.kind == "CROSS":
+1765            join.set("kind", None)
+1766
+1767        return join
 
    
 
 
@@ -17907,19 +18258,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • append (bool):  if True, concatenate the new expressions to the existing "using" list.
+
    • append:  if True, concatenate the new expressions to the existing "using" list.
 Otherwise, this resets the expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expressions.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expressions.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Join: the modified join expression.
    
+  
    The modified Join expression.
    
 
    
 
    
 
@@ -17983,8 +18334,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1722class Lateral(UDTF):
-1723    arg_types = {"this": True, "view": False, "outer": False, "alias": False}
+            
    1770class Lateral(UDTF):
+1771    arg_types = {"this": True, "view": False, "outer": False, "alias": False}
 
    
 
 
@@ -18054,17 +18405,17 @@ 
    Inherited Members
    
 
     
    
     
-            
    1726class MatchRecognize(Expression):
-1727    arg_types = {
-1728        "partition_by": False,
-1729        "order": False,
-1730        "measures": False,
-1731        "rows": False,
-1732        "after": False,
-1733        "pattern": False,
-1734        "define": False,
-1735        "alias": False,
-1736    }
+            
    1774class MatchRecognize(Expression):
+1775    arg_types = {
+1776        "partition_by": False,
+1777        "order": False,
+1778        "measures": False,
+1779        "rows": False,
+1780        "after": False,
+1781        "pattern": False,
+1782        "define": False,
+1783        "alias": False,
+1784    }
 
    
 
 
@@ -18128,8 +18479,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1741class Final(Expression):
-1742    pass
+            
    1789class Final(Expression):
+1790    pass
 
    
 
 
@@ -18193,8 +18544,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1745class Offset(Expression):
-1746    arg_types = {"this": False, "expression": True}
+            
    1793class Offset(Expression):
+1794    arg_types = {"this": False, "expression": True}
 
    
 
 
@@ -18258,8 +18609,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1749class Order(Expression):
-1750    arg_types = {"this": False, "expressions": True}
+            
    1797class Order(Expression):
+1798    arg_types = {"this": False, "expressions": True}
 
    
 
 
@@ -18323,8 +18674,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1755class Cluster(Order):
-1756    pass
+            
    1803class Cluster(Order):
+1804    pass
 
    
 
 
@@ -18388,8 +18739,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1759class Distribute(Order):
-1760    pass
+            
    1807class Distribute(Order):
+1808    pass
 
    
 
 
@@ -18453,8 +18804,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1763class Sort(Order):
-1764    pass
+            
    1811class Sort(Order):
+1812    pass
 
    
 
 
@@ -18518,8 +18869,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1767class Ordered(Expression):
-1768    arg_types = {"this": True, "desc": True, "nulls_first": True}
+            
    1815class Ordered(Expression):
+1816    arg_types = {"this": True, "desc": True, "nulls_first": True}
 
    
 
 
@@ -18583,8 +18934,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1771class Property(Expression):
-1772    arg_types = {"this": True, "value": True}
+            
    1819class Property(Expression):
+1820    arg_types = {"this": True, "value": True}
 
    
 
 
@@ -18648,8 +18999,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1775class AlgorithmProperty(Property):
-1776    arg_types = {"this": True}
+            
    1823class AlgorithmProperty(Property):
+1824    arg_types = {"this": True}
 
    
 
 
@@ -18713,8 +19064,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1779class AutoIncrementProperty(Property):
-1780    arg_types = {"this": True}
+            
    1827class AutoIncrementProperty(Property):
+1828    arg_types = {"this": True}
 
    
 
 
@@ -18778,8 +19129,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1783class BlockCompressionProperty(Property):
-1784    arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True}
+            
    1831class BlockCompressionProperty(Property):
+1832    arg_types = {"autotemp": False, "always": False, "default": True, "manual": True, "never": True}
 
    
 
 
@@ -18843,8 +19194,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1787class CharacterSetProperty(Property):
-1788    arg_types = {"this": True, "default": True}
+            
    1835class CharacterSetProperty(Property):
+1836    arg_types = {"this": True, "default": True}
 
    
 
 
@@ -18908,8 +19259,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1791class ChecksumProperty(Property):
-1792    arg_types = {"on": False, "default": False}
+            
    1839class ChecksumProperty(Property):
+1840    arg_types = {"on": False, "default": False}
 
    
 
 
@@ -18973,8 +19324,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1795class CollateProperty(Property):
-1796    arg_types = {"this": True}
+            
    1843class CollateProperty(Property):
+1844    arg_types = {"this": True}
 
    
 
 
@@ -19038,14 +19389,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1799class DataBlocksizeProperty(Property):
-1800    arg_types = {
-1801        "size": False,
-1802        "units": False,
-1803        "minimum": False,
-1804        "maximum": False,
-1805        "default": False,
-1806    }
+            
    1847class DataBlocksizeProperty(Property):
+1848    arg_types = {
+1849        "size": False,
+1850        "units": False,
+1851        "minimum": False,
+1852        "maximum": False,
+1853        "default": False,
+1854    }
 
    
 
 
@@ -19109,8 +19460,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1809class DefinerProperty(Property):
-1810    arg_types = {"this": True}
+            
    1857class DefinerProperty(Property):
+1858    arg_types = {"this": True}
 
    
 
 
@@ -19174,8 +19525,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1813class DistKeyProperty(Property):
-1814    arg_types = {"this": True}
+            
    1861class DistKeyProperty(Property):
+1862    arg_types = {"this": True}
 
    
 
 
@@ -19239,8 +19590,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1817class DistStyleProperty(Property):
-1818    arg_types = {"this": True}
+            
    1865class DistStyleProperty(Property):
+1866    arg_types = {"this": True}
 
    
 
 
@@ -19304,8 +19655,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1821class EngineProperty(Property):
-1822    arg_types = {"this": True}
+            
    1869class EngineProperty(Property):
+1870    arg_types = {"this": True}
 
    
 
 
@@ -19369,8 +19720,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1825class ExecuteAsProperty(Property):
-1826    arg_types = {"this": True}
+            
    1873class ExecuteAsProperty(Property):
+1874    arg_types = {"this": True}
 
    
 
 
@@ -19434,8 +19785,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1829class ExternalProperty(Property):
-1830    arg_types = {"this": False}
+            
    1877class ExternalProperty(Property):
+1878    arg_types = {"this": False}
 
    
 
 
@@ -19499,8 +19850,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1833class FallbackProperty(Property):
-1834    arg_types = {"no": True, "protection": False}
+            
    1881class FallbackProperty(Property):
+1882    arg_types = {"no": True, "protection": False}
 
    
 
 
@@ -19564,8 +19915,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1837class FileFormatProperty(Property):
-1838    arg_types = {"this": True}
+            
    1885class FileFormatProperty(Property):
+1886    arg_types = {"this": True}
 
    
 
 
@@ -19629,8 +19980,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1841class FreespaceProperty(Property):
-1842    arg_types = {"this": True, "percent": False}
+            
    1889class FreespaceProperty(Property):
+1890    arg_types = {"this": True, "percent": False}
 
    
 
 
@@ -19694,8 +20045,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1845class InputOutputFormat(Expression):
-1846    arg_types = {"input_format": False, "output_format": False}
+            
    1893class InputOutputFormat(Expression):
+1894    arg_types = {"input_format": False, "output_format": False}
 
    
 
 
@@ -19759,14 +20110,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1849class IsolatedLoadingProperty(Property):
-1850    arg_types = {
-1851        "no": True,
-1852        "concurrent": True,
-1853        "for_all": True,
-1854        "for_insert": True,
-1855        "for_none": True,
-1856    }
+            
    1897class IsolatedLoadingProperty(Property):
+1898    arg_types = {
+1899        "no": True,
+1900        "concurrent": True,
+1901        "for_all": True,
+1902        "for_insert": True,
+1903        "for_none": True,
+1904    }
 
    
 
 
@@ -19830,14 +20181,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1859class JournalProperty(Property):
-1860    arg_types = {
-1861        "no": False,
-1862        "dual": False,
-1863        "before": False,
-1864        "local": False,
-1865        "after": False,
-1866    }
+            
    1907class JournalProperty(Property):
+1908    arg_types = {
+1909        "no": False,
+1910        "dual": False,
+1911        "before": False,
+1912        "local": False,
+1913        "after": False,
+1914    }
 
    
 
 
@@ -19901,8 +20252,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1869class LanguageProperty(Property):
-1870    arg_types = {"this": True}
+            
    1917class LanguageProperty(Property):
+1918    arg_types = {"this": True}
 
    
 
 
@@ -19966,8 +20317,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1873class LikeProperty(Property):
-1874    arg_types = {"this": True, "expressions": False}
+            
    1921class LikeProperty(Property):
+1922    arg_types = {"this": True, "expressions": False}
 
    
 
 
@@ -20031,8 +20382,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1877class LocationProperty(Property):
-1878    arg_types = {"this": True}
+            
    1925class LocationProperty(Property):
+1926    arg_types = {"this": True}
 
    
 
 
@@ -20096,14 +20447,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    1881class LockingProperty(Property):
-1882    arg_types = {
-1883        "this": False,
-1884        "kind": True,
-1885        "for_or_in": True,
-1886        "lock_type": True,
-1887        "override": False,
-1888    }
+            
    1929class LockingProperty(Property):
+1930    arg_types = {
+1931        "this": False,
+1932        "kind": True,
+1933        "for_or_in": True,
+1934        "lock_type": True,
+1935        "override": False,
+1936    }
 
    
 
 
@@ -20167,8 +20518,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1891class LogProperty(Property):
-1892    arg_types = {"no": True}
+            
    1939class LogProperty(Property):
+1940    arg_types = {"no": True}
 
    
 
 
@@ -20232,8 +20583,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1895class MaterializedProperty(Property):
-1896    arg_types = {"this": False}
+            
    1943class MaterializedProperty(Property):
+1944    arg_types = {"this": False}
 
    
 
 
@@ -20297,8 +20648,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1899class MergeBlockRatioProperty(Property):
-1900    arg_types = {"this": False, "no": False, "default": False, "percent": False}
+            
    1947class MergeBlockRatioProperty(Property):
+1948    arg_types = {"this": False, "no": False, "default": False, "percent": False}
 
    
 
 
@@ -20362,8 +20713,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1903class NoPrimaryIndexProperty(Property):
-1904    arg_types = {}
+            
    1951class NoPrimaryIndexProperty(Property):
+1952    arg_types = {}
 
    
 
 
@@ -20427,8 +20778,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1907class OnCommitProperty(Property):
-1908    arg_type = {"delete": False}
+            
    1955class OnCommitProperty(Property):
+1956    arg_type = {"delete": False}
 
    
 
 
@@ -20492,8 +20843,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1911class PartitionedByProperty(Property):
-1912    arg_types = {"this": True}
+            
    1959class PartitionedByProperty(Property):
+1960    arg_types = {"this": True}
 
    
 
 
@@ -20557,8 +20908,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1915class ReturnsProperty(Property):
-1916    arg_types = {"this": True, "is_table": False, "table": False}
+            
    1963class ReturnsProperty(Property):
+1964    arg_types = {"this": True, "is_table": False, "table": False}
 
    
 
 
@@ -20622,8 +20973,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1919class RowFormatProperty(Property):
-1920    arg_types = {"this": True}
+            
    1967class RowFormatProperty(Property):
+1968    arg_types = {"this": True}
 
    
 
 
@@ -20687,17 +21038,17 @@ 
    Inherited Members
    
 
     
    
     
-            
    1923class RowFormatDelimitedProperty(Property):
-1924    # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml
-1925    arg_types = {
-1926        "fields": False,
-1927        "escaped": False,
-1928        "collection_items": False,
-1929        "map_keys": False,
-1930        "lines": False,
-1931        "null": False,
-1932        "serde": False,
-1933    }
+            
    1971class RowFormatDelimitedProperty(Property):
+1972    # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml
+1973    arg_types = {
+1974        "fields": False,
+1975        "escaped": False,
+1976        "collection_items": False,
+1977        "map_keys": False,
+1978        "lines": False,
+1979        "null": False,
+1980        "serde": False,
+1981    }
 
    
 
 
@@ -20761,8 +21112,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1936class RowFormatSerdeProperty(Property):
-1937    arg_types = {"this": True}
+            
    1984class RowFormatSerdeProperty(Property):
+1985    arg_types = {"this": True}
 
    
 
 
@@ -20826,8 +21177,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1940class SchemaCommentProperty(Property):
-1941    arg_types = {"this": True}
+            
    1988class SchemaCommentProperty(Property):
+1989    arg_types = {"this": True}
 
    
 
 
@@ -20891,8 +21242,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1944class SerdeProperties(Property):
-1945    arg_types = {"expressions": True}
+            
    1992class SerdeProperties(Property):
+1993    arg_types = {"expressions": True}
 
    
 
 
@@ -20956,8 +21307,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1948class SetProperty(Property):
-1949    arg_types = {"multi": True}
+            
    1996class SetProperty(Property):
+1997    arg_types = {"multi": True}
 
    
 
 
@@ -21021,8 +21372,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1952class SettingsProperty(Property):
-1953    arg_types = {"expressions": True}
+            
    2000class SettingsProperty(Property):
+2001    arg_types = {"expressions": True}
 
    
 
 
@@ -21086,8 +21437,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1956class SortKeyProperty(Property):
-1957    arg_types = {"this": True, "compound": False}
+            
    2004class SortKeyProperty(Property):
+2005    arg_types = {"this": True, "compound": False}
 
    
 
 
@@ -21151,8 +21502,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1960class SqlSecurityProperty(Property):
-1961    arg_types = {"definer": True}
+            
    2008class SqlSecurityProperty(Property):
+2009    arg_types = {"definer": True}
 
    
 
 
@@ -21216,8 +21567,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1964class StabilityProperty(Property):
-1965    arg_types = {"this": True}
+            
    2012class StabilityProperty(Property):
+2013    arg_types = {"this": True}
 
    
 
 
@@ -21281,8 +21632,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1968class TemporaryProperty(Property):
-1969    arg_types = {}
+            
    2016class TemporaryProperty(Property):
+2017    arg_types = {}
 
    
 
 
@@ -21346,8 +21697,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1972class TransientProperty(Property):
-1973    arg_types = {"this": False}
+            
    2020class TransientProperty(Property):
+2021    arg_types = {"this": False}
 
    
 
 
@@ -21411,8 +21762,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1976class VolatileProperty(Property):
-1977    arg_types = {"this": False}
+            
    2024class VolatileProperty(Property):
+2025    arg_types = {"this": False}
 
    
 
 
@@ -21476,8 +21827,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1980class WithDataProperty(Property):
-1981    arg_types = {"no": True, "statistics": False}
+            
    2028class WithDataProperty(Property):
+2029    arg_types = {"no": True, "statistics": False}
 
    
 
 
@@ -21541,8 +21892,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    1984class WithJournalTableProperty(Property):
-1985    arg_types = {"this": True}
+            
    2032class WithJournalTableProperty(Property):
+2033    arg_types = {"this": True}
 
    
 
 
@@ -21606,65 +21957,65 @@ 
    Inherited Members
    
 
     
    
     
-            
    1988class Properties(Expression):
-1989    arg_types = {"expressions": True}
-1990
-1991    NAME_TO_PROPERTY = {
-1992        "ALGORITHM": AlgorithmProperty,
-1993        "AUTO_INCREMENT": AutoIncrementProperty,
-1994        "CHARACTER SET": CharacterSetProperty,
-1995        "COLLATE": CollateProperty,
-1996        "COMMENT": SchemaCommentProperty,
-1997        "DEFINER": DefinerProperty,
-1998        "DISTKEY": DistKeyProperty,
-1999        "DISTSTYLE": DistStyleProperty,
-2000        "ENGINE": EngineProperty,
-2001        "EXECUTE AS": ExecuteAsProperty,
-2002        "FORMAT": FileFormatProperty,
-2003        "LANGUAGE": LanguageProperty,
-2004        "LOCATION": LocationProperty,
-2005        "PARTITIONED_BY": PartitionedByProperty,
-2006        "RETURNS": ReturnsProperty,
-2007        "ROW_FORMAT": RowFormatProperty,
-2008        "SORTKEY": SortKeyProperty,
-2009    }
-2010
-2011    PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()}
-2012
-2013    # CREATE property locations
-2014    # Form: schema specified
-2015    #   create [POST_CREATE]
-2016    #     table a [POST_NAME]
-2017    #     (b int) [POST_SCHEMA]
-2018    #     with ([POST_WITH])
-2019    #     index (b) [POST_INDEX]
-2020    #
-2021    # Form: alias selection
-2022    #   create [POST_CREATE]
-2023    #     table a [POST_NAME]
-2024    #     as [POST_ALIAS] (select * from b) [POST_EXPRESSION]
-2025    #     index (c) [POST_INDEX]
-2026    class Location(AutoName):
-2027        POST_CREATE = auto()
-2028        POST_NAME = auto()
-2029        POST_SCHEMA = auto()
-2030        POST_WITH = auto()
-2031        POST_ALIAS = auto()
-2032        POST_EXPRESSION = auto()
-2033        POST_INDEX = auto()
-2034        UNSUPPORTED = auto()
-2035
-2036    @classmethod
-2037    def from_dict(cls, properties_dict) -> Properties:
-2038        expressions = []
-2039        for key, value in properties_dict.items():
-2040            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
-2041            if property_cls:
-2042                expressions.append(property_cls(this=convert(value)))
-2043            else:
-2044                expressions.append(Property(this=Literal.string(key), value=convert(value)))
-2045
-2046        return cls(expressions=expressions)
+            
    2036class Properties(Expression):
+2037    arg_types = {"expressions": True}
+2038
+2039    NAME_TO_PROPERTY = {
+2040        "ALGORITHM": AlgorithmProperty,
+2041        "AUTO_INCREMENT": AutoIncrementProperty,
+2042        "CHARACTER SET": CharacterSetProperty,
+2043        "COLLATE": CollateProperty,
+2044        "COMMENT": SchemaCommentProperty,
+2045        "DEFINER": DefinerProperty,
+2046        "DISTKEY": DistKeyProperty,
+2047        "DISTSTYLE": DistStyleProperty,
+2048        "ENGINE": EngineProperty,
+2049        "EXECUTE AS": ExecuteAsProperty,
+2050        "FORMAT": FileFormatProperty,
+2051        "LANGUAGE": LanguageProperty,
+2052        "LOCATION": LocationProperty,
+2053        "PARTITIONED_BY": PartitionedByProperty,
+2054        "RETURNS": ReturnsProperty,
+2055        "ROW_FORMAT": RowFormatProperty,
+2056        "SORTKEY": SortKeyProperty,
+2057    }
+2058
+2059    PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()}
+2060
+2061    # CREATE property locations
+2062    # Form: schema specified
+2063    #   create [POST_CREATE]
+2064    #     table a [POST_NAME]
+2065    #     (b int) [POST_SCHEMA]
+2066    #     with ([POST_WITH])
+2067    #     index (b) [POST_INDEX]
+2068    #
+2069    # Form: alias selection
+2070    #   create [POST_CREATE]
+2071    #     table a [POST_NAME]
+2072    #     as [POST_ALIAS] (select * from b) [POST_EXPRESSION]
+2073    #     index (c) [POST_INDEX]
+2074    class Location(AutoName):
+2075        POST_CREATE = auto()
+2076        POST_NAME = auto()
+2077        POST_SCHEMA = auto()
+2078        POST_WITH = auto()
+2079        POST_ALIAS = auto()
+2080        POST_EXPRESSION = auto()
+2081        POST_INDEX = auto()
+2082        UNSUPPORTED = auto()
+2083
+2084    @classmethod
+2085    def from_dict(cls, properties_dict: t.Dict) -> Properties:
+2086        expressions = []
+2087        for key, value in properties_dict.items():
+2088            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
+2089            if property_cls:
+2090                expressions.append(property_cls(this=convert(value)))
+2091            else:
+2092                expressions.append(Property(this=Literal.string(key), value=convert(value)))
+2093
+2094        return cls(expressions=expressions)
 
    
 
 
@@ -21676,23 +22027,23 @@ 
    Inherited Members
    
                     
    @classmethod
    
 
         def
-        from_dict(cls, properties_dict) -> sqlglot.expressions.Properties:
+        from_dict(cls, properties_dict: Dict) -> sqlglot.expressions.Properties:
 
                 
 
     
    
     
-            
    2036    @classmethod
-2037    def from_dict(cls, properties_dict) -> Properties:
-2038        expressions = []
-2039        for key, value in properties_dict.items():
-2040            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
-2041            if property_cls:
-2042                expressions.append(property_cls(this=convert(value)))
-2043            else:
-2044                expressions.append(Property(this=Literal.string(key), value=convert(value)))
-2045
-2046        return cls(expressions=expressions)
+            
    2084    @classmethod
+2085    def from_dict(cls, properties_dict: t.Dict) -> Properties:
+2086        expressions = []
+2087        for key, value in properties_dict.items():
+2088            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
+2089            if property_cls:
+2090                expressions.append(property_cls(this=convert(value)))
+2091            else:
+2092                expressions.append(Property(this=Literal.string(key), value=convert(value)))
+2093
+2094        return cls(expressions=expressions)
 
    
 
 
@@ -21757,15 +22108,15 @@ 
    Inherited Members
    
 
     
    
     
-            
    2026    class Location(AutoName):
-2027        POST_CREATE = auto()
-2028        POST_NAME = auto()
-2029        POST_SCHEMA = auto()
-2030        POST_WITH = auto()
-2031        POST_ALIAS = auto()
-2032        POST_EXPRESSION = auto()
-2033        POST_INDEX = auto()
-2034        UNSUPPORTED = auto()
+            
    2074    class Location(AutoName):
+2075        POST_CREATE = auto()
+2076        POST_NAME = auto()
+2077        POST_SCHEMA = auto()
+2078        POST_WITH = auto()
+2079        POST_ALIAS = auto()
+2080        POST_EXPRESSION = auto()
+2081        POST_INDEX = auto()
+2082        UNSUPPORTED = auto()
 
    
 
 
@@ -21891,8 +22242,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2049class Qualify(Expression):
-2050    pass
+            
    2097class Qualify(Expression):
+2098    pass
 
    
 
 
@@ -21956,8 +22307,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2054class Return(Expression):
-2055    pass
+            
    2102class Return(Expression):
+2103    pass
 
    
 
 
@@ -22021,8 +22372,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2058class Reference(Expression):
-2059    arg_types = {"this": True, "expressions": False, "options": False}
+            
    2106class Reference(Expression):
+2107    arg_types = {"this": True, "expressions": False, "options": False}
 
    
 
 
@@ -22086,17 +22437,17 @@ 
    Inherited Members
    
 
     
    
     
-            
    2062class Tuple(Expression):
-2063    arg_types = {"expressions": False}
-2064
-2065    def isin(
-2066        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy=True, **opts
-2067    ) -> In:
-2068        return In(
-2069            this=_maybe_copy(self, copy),
-2070            expressions=[convert(e, copy=copy) for e in expressions],
-2071            query=maybe_parse(query, copy=copy, **opts) if query else None,
-2072        )
+            
    2110class Tuple(Expression):
+2111    arg_types = {"expressions": False}
+2112
+2113    def isin(
+2114        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
+2115    ) -> In:
+2116        return In(
+2117            this=_maybe_copy(self, copy),
+2118            expressions=[convert(e, copy=copy) for e in expressions],
+2119            query=maybe_parse(query, copy=copy, **opts) if query else None,
+2120        )
 
    
 
 
@@ -22107,20 +22458,20 @@ 
    Inherited Members
    
 
    
             
         def
-        isin(	self,	*expressions: Any,	query: Union[str, sqlglot.expressions.Expression, NoneType] = None,	copy=True,	**opts) -> sqlglot.expressions.In:
+        isin(	self,	*expressions: Any,	query: Union[str, sqlglot.expressions.Expression, NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.In:
 
                 
 
     
    
     
-            
    2065    def isin(
-2066        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy=True, **opts
-2067    ) -> In:
-2068        return In(
-2069            this=_maybe_copy(self, copy),
-2070            expressions=[convert(e, copy=copy) for e in expressions],
-2071            query=maybe_parse(query, copy=copy, **opts) if query else None,
-2072        )
+            
    2113    def isin(
+2114        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
+2115    ) -> In:
+2116        return In(
+2117            this=_maybe_copy(self, copy),
+2118            expressions=[convert(e, copy=copy) for e in expressions],
+2119            query=maybe_parse(query, copy=copy, **opts) if query else None,
+2120        )
 
    
 
 
@@ -22185,82 +22536,84 @@ 
    Inherited Members
    
 
     
    
     
-            
    2075class Subqueryable(Unionable):
-2076    def subquery(self, alias=None, copy=True) -> Subquery:
-2077        """
-2078        Convert this expression to an aliased expression that can be used as a Subquery.
-2079
-2080        Example:
-2081            >>> subquery = Select().select("x").from_("tbl").subquery()
-2082            >>> Select().select("x").from_(subquery).sql()
-2083            'SELECT x FROM (SELECT x FROM tbl)'
-2084
-2085        Args:
-2086            alias (str | Identifier): an optional alias for the subquery
-2087            copy (bool): if `False`, modify this expression instance in-place.
-2088
-2089        Returns:
-2090            Alias: the subquery
-2091        """
-2092        instance = _maybe_copy(self, copy)
-2093        if not isinstance(alias, Expression):
-2094            alias = TableAlias(this=to_identifier(alias)) if alias else None
-2095
-2096        return Subquery(this=instance, alias=alias)
-2097
-2098    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
-2099        raise NotImplementedError
-2100
-2101    @property
-2102    def ctes(self):
-2103        with_ = self.args.get("with")
-2104        if not with_:
-2105            return []
-2106        return with_.expressions
-2107
-2108    @property
-2109    def selects(self):
-2110        raise NotImplementedError("Subqueryable objects must implement `selects`")
-2111
-2112    @property
-2113    def named_selects(self):
-2114        raise NotImplementedError("Subqueryable objects must implement `named_selects`")
-2115
-2116    def with_(
-2117        self,
-2118        alias: ExpOrStr,
-2119        as_: ExpOrStr,
-2120        recursive: t.Optional[bool] = None,
-2121        append: bool = True,
-2122        dialect: DialectType = None,
-2123        copy: bool = True,
-2124        **opts,
-2125    ) -> Subqueryable:
-2126        """
-2127        Append to or set the common table expressions.
-2128
-2129        Example:
-2130            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
-2131            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
+            
    2123class Subqueryable(Unionable):
+2124    def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery:
+2125        """
+2126        Convert this expression to an aliased expression that can be used as a Subquery.
+2127
+2128        Example:
+2129            >>> subquery = Select().select("x").from_("tbl").subquery()
+2130            >>> Select().select("x").from_(subquery).sql()
+2131            'SELECT x FROM (SELECT x FROM tbl)'
 2132
 2133        Args:
-2134            alias: the SQL code string to parse as the table name.
-2135                If an `Expression` instance is passed, this is used as-is.
-2136            as_: the SQL code string to parse as the table expression.
-2137                If an `Expression` instance is passed, it will be used as-is.
-2138            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
-2139            append: if `True`, add to any existing expressions.
-2140                Otherwise, this resets the expressions.
-2141            dialect: the dialect used to parse the input expression.
-2142            copy: if `False`, modify this expression instance in-place.
-2143            opts: other options to use to parse the input expressions.
-2144
-2145        Returns:
-2146            The modified expression.
-2147        """
-2148        return _apply_cte_builder(
-2149            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
-2150        )
+2134            alias (str | Identifier): an optional alias for the subquery
+2135            copy (bool): if `False`, modify this expression instance in-place.
+2136
+2137        Returns:
+2138            Alias: the subquery
+2139        """
+2140        instance = _maybe_copy(self, copy)
+2141        if not isinstance(alias, Expression):
+2142            alias = TableAlias(this=to_identifier(alias)) if alias else None
+2143
+2144        return Subquery(this=instance, alias=alias)
+2145
+2146    def limit(
+2147        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2148    ) -> Select:
+2149        raise NotImplementedError
+2150
+2151    @property
+2152    def ctes(self):
+2153        with_ = self.args.get("with")
+2154        if not with_:
+2155            return []
+2156        return with_.expressions
+2157
+2158    @property
+2159    def selects(self):
+2160        raise NotImplementedError("Subqueryable objects must implement `selects`")
+2161
+2162    @property
+2163    def named_selects(self):
+2164        raise NotImplementedError("Subqueryable objects must implement `named_selects`")
+2165
+2166    def with_(
+2167        self,
+2168        alias: ExpOrStr,
+2169        as_: ExpOrStr,
+2170        recursive: t.Optional[bool] = None,
+2171        append: bool = True,
+2172        dialect: DialectType = None,
+2173        copy: bool = True,
+2174        **opts,
+2175    ) -> Subqueryable:
+2176        """
+2177        Append to or set the common table expressions.
+2178
+2179        Example:
+2180            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
+2181            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
+2182
+2183        Args:
+2184            alias: the SQL code string to parse as the table name.
+2185                If an `Expression` instance is passed, this is used as-is.
+2186            as_: the SQL code string to parse as the table expression.
+2187                If an `Expression` instance is passed, it will be used as-is.
+2188            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
+2189            append: if `True`, add to any existing expressions.
+2190                Otherwise, this resets the expressions.
+2191            dialect: the dialect used to parse the input expression.
+2192            copy: if `False`, modify this expression instance in-place.
+2193            opts: other options to use to parse the input expressions.
+2194
+2195        Returns:
+2196            The modified expression.
+2197        """
+2198        return _apply_cte_builder(
+2199            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
+2200        )
 
    
 
 
@@ -22271,33 +22624,33 @@ 
    Inherited Members
    
 
    
             
         def
-        subquery(self, alias=None, copy=True) -> sqlglot.expressions.Subquery:
+        subquery(	self,	alias: Union[str, sqlglot.expressions.Expression, NoneType] = None,	copy: bool = True) -> sqlglot.expressions.Subquery:
 
                 
 
     
    
     
-            
    2076    def subquery(self, alias=None, copy=True) -> Subquery:
-2077        """
-2078        Convert this expression to an aliased expression that can be used as a Subquery.
-2079
-2080        Example:
-2081            >>> subquery = Select().select("x").from_("tbl").subquery()
-2082            >>> Select().select("x").from_(subquery).sql()
-2083            'SELECT x FROM (SELECT x FROM tbl)'
-2084
-2085        Args:
-2086            alias (str | Identifier): an optional alias for the subquery
-2087            copy (bool): if `False`, modify this expression instance in-place.
-2088
-2089        Returns:
-2090            Alias: the subquery
-2091        """
-2092        instance = _maybe_copy(self, copy)
-2093        if not isinstance(alias, Expression):
-2094            alias = TableAlias(this=to_identifier(alias)) if alias else None
-2095
-2096        return Subquery(this=instance, alias=alias)
+            
    2124    def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery:
+2125        """
+2126        Convert this expression to an aliased expression that can be used as a Subquery.
+2127
+2128        Example:
+2129            >>> subquery = Select().select("x").from_("tbl").subquery()
+2130            >>> Select().select("x").from_(subquery).sql()
+2131            'SELECT x FROM (SELECT x FROM tbl)'
+2132
+2133        Args:
+2134            alias (str | Identifier): an optional alias for the subquery
+2135            copy (bool): if `False`, modify this expression instance in-place.
+2136
+2137        Returns:
+2138            Alias: the subquery
+2139        """
+2140        instance = _maybe_copy(self, copy)
+2141        if not isinstance(alias, Expression):
+2142            alias = TableAlias(this=to_identifier(alias)) if alias else None
+2143
+2144        return Subquery(this=instance, alias=alias)
 
    
 
 
@@ -22335,14 +22688,16 @@ 
    Returns:
    
 
    
             
         def
-        limit(	self,	expression,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        limit(	self,	expression: Union[str, sqlglot.expressions.Expression, int],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2098    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
-2099        raise NotImplementedError
+            
    2146    def limit(
+2147        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2148    ) -> Select:
+2149        raise NotImplementedError
 
    
 
 
@@ -22360,41 +22715,41 @@ 
    Returns:
    
 
     
    
     
-            
    2116    def with_(
-2117        self,
-2118        alias: ExpOrStr,
-2119        as_: ExpOrStr,
-2120        recursive: t.Optional[bool] = None,
-2121        append: bool = True,
-2122        dialect: DialectType = None,
-2123        copy: bool = True,
-2124        **opts,
-2125    ) -> Subqueryable:
-2126        """
-2127        Append to or set the common table expressions.
-2128
-2129        Example:
-2130            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
-2131            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
-2132
-2133        Args:
-2134            alias: the SQL code string to parse as the table name.
-2135                If an `Expression` instance is passed, this is used as-is.
-2136            as_: the SQL code string to parse as the table expression.
-2137                If an `Expression` instance is passed, it will be used as-is.
-2138            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
-2139            append: if `True`, add to any existing expressions.
-2140                Otherwise, this resets the expressions.
-2141            dialect: the dialect used to parse the input expression.
-2142            copy: if `False`, modify this expression instance in-place.
-2143            opts: other options to use to parse the input expressions.
-2144
-2145        Returns:
-2146            The modified expression.
-2147        """
-2148        return _apply_cte_builder(
-2149            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
-2150        )
+            
    2166    def with_(
+2167        self,
+2168        alias: ExpOrStr,
+2169        as_: ExpOrStr,
+2170        recursive: t.Optional[bool] = None,
+2171        append: bool = True,
+2172        dialect: DialectType = None,
+2173        copy: bool = True,
+2174        **opts,
+2175    ) -> Subqueryable:
+2176        """
+2177        Append to or set the common table expressions.
+2178
+2179        Example:
+2180            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
+2181            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
+2182
+2183        Args:
+2184            alias: the SQL code string to parse as the table name.
+2185                If an `Expression` instance is passed, this is used as-is.
+2186            as_: the SQL code string to parse as the table expression.
+2187                If an `Expression` instance is passed, it will be used as-is.
+2188            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
+2189            append: if `True`, add to any existing expressions.
+2190                Otherwise, this resets the expressions.
+2191            dialect: the dialect used to parse the input expression.
+2192            copy: if `False`, modify this expression instance in-place.
+2193            opts: other options to use to parse the input expressions.
+2194
+2195        Returns:
+2196            The modified expression.
+2197        """
+2198        return _apply_cte_builder(
+2199            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
+2200        )
 
    
 
 
@@ -22498,35 +22853,35 @@ 
    Inherited Members
    
 
     
    
     
-            
    2176class Table(Expression):
-2177    arg_types = {
-2178        "this": True,
-2179        "alias": False,
-2180        "db": False,
-2181        "catalog": False,
-2182        "laterals": False,
-2183        "joins": False,
-2184        "pivots": False,
-2185        "hints": False,
-2186        "system_time": False,
-2187    }
-2188
-2189    @property
-2190    def db(self) -> str:
-2191        return self.text("db")
-2192
-2193    @property
-2194    def catalog(self) -> str:
-2195        return self.text("catalog")
-2196
-2197    @property
-2198    def parts(self) -> t.List[Identifier]:
-2199        """Return the parts of a table in order catalog, db, table."""
-2200        return [
-2201            t.cast(Identifier, self.args[part])
-2202            for part in ("catalog", "db", "this")
-2203            if self.args.get(part)
-2204        ]
+            
    2226class Table(Expression):
+2227    arg_types = {
+2228        "this": True,
+2229        "alias": False,
+2230        "db": False,
+2231        "catalog": False,
+2232        "laterals": False,
+2233        "joins": False,
+2234        "pivots": False,
+2235        "hints": False,
+2236        "system_time": False,
+2237    }
+2238
+2239    @property
+2240    def db(self) -> str:
+2241        return self.text("db")
+2242
+2243    @property
+2244    def catalog(self) -> str:
+2245        return self.text("catalog")
+2246
+2247    @property
+2248    def parts(self) -> t.List[Identifier]:
+2249        """Return the parts of a table in order catalog, db, table."""
+2250        return [
+2251            t.cast(Identifier, self.args[part])
+2252            for part in ("catalog", "db", "this")
+2253            if self.args.get(part)
+2254        ]
 
    
 
 
@@ -22603,12 +22958,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    2208class SystemTime(Expression):
-2209    arg_types = {
-2210        "this": False,
-2211        "expression": False,
-2212        "kind": True,
-2213    }
+            
    2258class SystemTime(Expression):
+2259    arg_types = {
+2260        "this": False,
+2261        "expression": False,
+2262        "kind": True,
+2263    }
 
    
 
 
@@ -22672,94 +23027,96 @@ 
    Inherited Members
    
 
     
    
     
-            
    2216class Union(Subqueryable):
-2217    arg_types = {
-2218        "with": False,
-2219        "this": True,
-2220        "expression": True,
-2221        "distinct": False,
-2222        **QUERY_MODIFIERS,
-2223    }
-2224
-2225    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
-2226        """
-2227        Set the LIMIT expression.
-2228
-2229        Example:
-2230            >>> select("1").union(select("1")).limit(1).sql()
-2231            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
-2232
-2233        Args:
-2234            expression (str | int | Expression): the SQL code string to parse.
-2235                This can also be an integer.
-2236                If a `Limit` instance is passed, this is used as-is.
-2237                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2238            dialect (str): the dialect used to parse the input expression.
-2239            copy (bool): if `False`, modify this expression instance in-place.
-2240            opts (kwargs): other options to use to parse the input expressions.
-2241
-2242        Returns:
-2243            Select: The limited subqueryable.
-2244        """
-2245        return (
-2246            select("*")
-2247            .from_(self.subquery(alias="_l_0", copy=copy))
-2248            .limit(expression, dialect=dialect, copy=False, **opts)
-2249        )
-2250
-2251    def select(
-2252        self,
-2253        *expressions: ExpOrStr,
-2254        append: bool = True,
-2255        dialect: DialectType = None,
-2256        copy: bool = True,
-2257        **opts,
-2258    ) -> Union:
-2259        """Append to or set the SELECT of the union recursively.
-2260
-2261        Example:
-2262            >>> from sqlglot import parse_one
-2263            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
-2264            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
-2265
-2266        Args:
-2267            *expressions: the SQL code strings to parse.
-2268                If an `Expression` instance is passed, it will be used as-is.
-2269            append: if `True`, add to any existing expressions.
-2270                Otherwise, this resets the expressions.
-2271            dialect: the dialect used to parse the input expressions.
-2272            copy: if `False`, modify this expression instance in-place.
-2273            opts: other options to use to parse the input expressions.
+            
    2266class Union(Subqueryable):
+2267    arg_types = {
+2268        "with": False,
+2269        "this": True,
+2270        "expression": True,
+2271        "distinct": False,
+2272        **QUERY_MODIFIERS,
+2273    }
 2274
-2275        Returns:
-2276            Union: the modified expression.
-2277        """
-2278        this = self.copy() if copy else self
-2279        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
-2280        this.expression.unnest().select(
-2281            *expressions, append=append, dialect=dialect, copy=False, **opts
-2282        )
-2283        return this
+2275    def limit(
+2276        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2277    ) -> Select:
+2278        """
+2279        Set the LIMIT expression.
+2280
+2281        Example:
+2282            >>> select("1").union(select("1")).limit(1).sql()
+2283            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
 2284
-2285    @property
-2286    def named_selects(self):
-2287        return self.this.unnest().named_selects
-2288
-2289    @property
-2290    def is_star(self) -> bool:
-2291        return self.this.is_star or self.expression.is_star
-2292
-2293    @property
-2294    def selects(self):
-2295        return self.this.unnest().selects
-2296
-2297    @property
-2298    def left(self):
-2299        return self.this
-2300
-2301    @property
-2302    def right(self):
-2303        return self.expression
+2285        Args:
+2286            expression: the SQL code string to parse.
+2287                This can also be an integer.
+2288                If a `Limit` instance is passed, this is used as-is.
+2289                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2290            dialect: the dialect used to parse the input expression.
+2291            copy: if `False`, modify this expression instance in-place.
+2292            opts: other options to use to parse the input expressions.
+2293
+2294        Returns:
+2295            The limited subqueryable.
+2296        """
+2297        return (
+2298            select("*")
+2299            .from_(self.subquery(alias="_l_0", copy=copy))
+2300            .limit(expression, dialect=dialect, copy=False, **opts)
+2301        )
+2302
+2303    def select(
+2304        self,
+2305        *expressions: t.Optional[ExpOrStr],
+2306        append: bool = True,
+2307        dialect: DialectType = None,
+2308        copy: bool = True,
+2309        **opts,
+2310    ) -> Union:
+2311        """Append to or set the SELECT of the union recursively.
+2312
+2313        Example:
+2314            >>> from sqlglot import parse_one
+2315            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
+2316            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
+2317
+2318        Args:
+2319            *expressions: the SQL code strings to parse.
+2320                If an `Expression` instance is passed, it will be used as-is.
+2321            append: if `True`, add to any existing expressions.
+2322                Otherwise, this resets the expressions.
+2323            dialect: the dialect used to parse the input expressions.
+2324            copy: if `False`, modify this expression instance in-place.
+2325            opts: other options to use to parse the input expressions.
+2326
+2327        Returns:
+2328            Union: the modified expression.
+2329        """
+2330        this = self.copy() if copy else self
+2331        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
+2332        this.expression.unnest().select(
+2333            *expressions, append=append, dialect=dialect, copy=False, **opts
+2334        )
+2335        return this
+2336
+2337    @property
+2338    def named_selects(self):
+2339        return self.this.unnest().named_selects
+2340
+2341    @property
+2342    def is_star(self) -> bool:
+2343        return self.this.is_star or self.expression.is_star
+2344
+2345    @property
+2346    def selects(self):
+2347        return self.this.unnest().selects
+2348
+2349    @property
+2350    def left(self):
+2351        return self.this
+2352
+2353    @property
+2354    def right(self):
+2355        return self.expression
 
    
 
 
@@ -22770,37 +23127,39 @@ 
    Inherited Members
    
 
    
             
         def
-        limit(	self,	expression,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        limit(	self,	expression: Union[str, sqlglot.expressions.Expression, int],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2225    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
-2226        """
-2227        Set the LIMIT expression.
-2228
-2229        Example:
-2230            >>> select("1").union(select("1")).limit(1).sql()
-2231            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
-2232
-2233        Args:
-2234            expression (str | int | Expression): the SQL code string to parse.
-2235                This can also be an integer.
-2236                If a `Limit` instance is passed, this is used as-is.
-2237                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2238            dialect (str): the dialect used to parse the input expression.
-2239            copy (bool): if `False`, modify this expression instance in-place.
-2240            opts (kwargs): other options to use to parse the input expressions.
-2241
-2242        Returns:
-2243            Select: The limited subqueryable.
-2244        """
-2245        return (
-2246            select("*")
-2247            .from_(self.subquery(alias="_l_0", copy=copy))
-2248            .limit(expression, dialect=dialect, copy=False, **opts)
-2249        )
+            
    2275    def limit(
+2276        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2277    ) -> Select:
+2278        """
+2279        Set the LIMIT expression.
+2280
+2281        Example:
+2282            >>> select("1").union(select("1")).limit(1).sql()
+2283            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
+2284
+2285        Args:
+2286            expression: the SQL code string to parse.
+2287                This can also be an integer.
+2288                If a `Limit` instance is passed, this is used as-is.
+2289                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2290            dialect: the dialect used to parse the input expression.
+2291            copy: if `False`, modify this expression instance in-place.
+2292            opts: other options to use to parse the input expressions.
+2293
+2294        Returns:
+2295            The limited subqueryable.
+2296        """
+2297        return (
+2298            select("*")
+2299            .from_(self.subquery(alias="_l_0", copy=copy))
+2300            .limit(expression, dialect=dialect, copy=False, **opts)
+2301        )
 
    
 
 
@@ -22819,19 +23178,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | int | Expression):  the SQL code string to parse.
+
    • expression:  the SQL code string to parse.
 This can also be an integer.
 If a Limit instance is passed, this is used as-is.
 If another Expression instance is passed, it will be wrapped in a Limit.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: The limited subqueryable.
    
+  
    The limited subqueryable.
    
 
    
 
    
 
@@ -22842,45 +23201,45 @@ 
    Returns:
    
 
    
             
         def
-        select(	self,	*expressions: Union[str, sqlglot.expressions.Expression],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Union:
+        select(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Union:
 
                 
 
     
    
     
-            
    2251    def select(
-2252        self,
-2253        *expressions: ExpOrStr,
-2254        append: bool = True,
-2255        dialect: DialectType = None,
-2256        copy: bool = True,
-2257        **opts,
-2258    ) -> Union:
-2259        """Append to or set the SELECT of the union recursively.
-2260
-2261        Example:
-2262            >>> from sqlglot import parse_one
-2263            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
-2264            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
-2265
-2266        Args:
-2267            *expressions: the SQL code strings to parse.
-2268                If an `Expression` instance is passed, it will be used as-is.
-2269            append: if `True`, add to any existing expressions.
-2270                Otherwise, this resets the expressions.
-2271            dialect: the dialect used to parse the input expressions.
-2272            copy: if `False`, modify this expression instance in-place.
-2273            opts: other options to use to parse the input expressions.
-2274
-2275        Returns:
-2276            Union: the modified expression.
-2277        """
-2278        this = self.copy() if copy else self
-2279        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
-2280        this.expression.unnest().select(
-2281            *expressions, append=append, dialect=dialect, copy=False, **opts
-2282        )
-2283        return this
+            
    2303    def select(
+2304        self,
+2305        *expressions: t.Optional[ExpOrStr],
+2306        append: bool = True,
+2307        dialect: DialectType = None,
+2308        copy: bool = True,
+2309        **opts,
+2310    ) -> Union:
+2311        """Append to or set the SELECT of the union recursively.
+2312
+2313        Example:
+2314            >>> from sqlglot import parse_one
+2315            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
+2316            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
+2317
+2318        Args:
+2319            *expressions: the SQL code strings to parse.
+2320                If an `Expression` instance is passed, it will be used as-is.
+2321            append: if `True`, add to any existing expressions.
+2322                Otherwise, this resets the expressions.
+2323            dialect: the dialect used to parse the input expressions.
+2324            copy: if `False`, modify this expression instance in-place.
+2325            opts: other options to use to parse the input expressions.
+2326
+2327        Returns:
+2328            Union: the modified expression.
+2329        """
+2330        this = self.copy() if copy else self
+2331        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
+2332        this.expression.unnest().select(
+2333            *expressions, append=append, dialect=dialect, copy=False, **opts
+2334        )
+2335        return this
 
    
 
 
@@ -22999,8 +23358,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2306class Except(Union):
-2307    pass
+            
    2358class Except(Union):
+2359    pass
 
    
 
 
@@ -23080,8 +23439,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2310class Intersect(Union):
-2311    pass
+            
    2362class Intersect(Union):
+2363    pass
 
    
 
 
@@ -23161,13 +23520,13 @@ 
    Inherited Members
    
 
     
    
     
-            
    2314class Unnest(UDTF):
-2315    arg_types = {
-2316        "expressions": True,
-2317        "ordinality": False,
-2318        "alias": False,
-2319        "offset": False,
-2320    }
+            
    2366class Unnest(UDTF):
+2367    arg_types = {
+2368        "expressions": True,
+2369        "ordinality": False,
+2370        "alias": False,
+2371        "offset": False,
+2372    }
 
    
 
 
@@ -23237,15 +23596,15 @@ 
    Inherited Members
    
 
     
    
     
-            
    2323class Update(Expression):
-2324    arg_types = {
-2325        "with": False,
-2326        "this": False,
-2327        "expressions": True,
-2328        "from": False,
-2329        "where": False,
-2330        "returning": False,
-2331    }
+            
    2375class Update(Expression):
+2376    arg_types = {
+2377        "with": False,
+2378        "this": False,
+2379        "expressions": True,
+2380        "from": False,
+2381        "where": False,
+2382        "returning": False,
+2383    }
 
    
 
 
@@ -23309,12 +23668,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    2334class Values(UDTF):
-2335    arg_types = {
-2336        "expressions": True,
-2337        "ordinality": False,
-2338        "alias": False,
-2339    }
+            
    2386class Values(UDTF):
+2387    arg_types = {
+2388        "expressions": True,
+2389        "ordinality": False,
+2390        "alias": False,
+2391    }
 
    
 
 
@@ -23384,8 +23743,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2342class Var(Expression):
-2343    pass
+            
    2394class Var(Expression):
+2395    pass
 
    
 
 
@@ -23449,8 +23808,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2346class Schema(Expression):
-2347    arg_types = {"this": False, "expressions": False}
+            
    2398class Schema(Expression):
+2399    arg_types = {"this": False, "expressions": False}
 
    
 
 
@@ -23514,8 +23873,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    2352class Lock(Expression):
-2353    arg_types = {"update": True, "expressions": False, "wait": False}
+            
    2404class Lock(Expression):
+2405    arg_types = {"update": True, "expressions": False, "wait": False}
 
    
 
 
@@ -23579,594 +23938,673 @@ 
    Inherited Members
    
 
     
    
     
-            
    2356class Select(Subqueryable):
-2357    arg_types = {
-2358        "with": False,
-2359        "kind": False,
-2360        "expressions": False,
-2361        "hint": False,
-2362        "distinct": False,
-2363        "struct": False,  # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#return_query_results_as_a_value_table
-2364        "value": False,
-2365        "into": False,
-2366        "from": False,
-2367        **QUERY_MODIFIERS,
-2368    }
-2369
-2370    def from_(
-2371        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
-2372    ) -> Select:
-2373        """
-2374        Set the FROM expression.
-2375
-2376        Example:
-2377            >>> Select().from_("tbl").select("x").sql()
-2378            'SELECT x FROM tbl'
-2379
-2380        Args:
-2381            expression : the SQL code strings to parse.
-2382                If a `From` instance is passed, this is used as-is.
-2383                If another `Expression` instance is passed, it will be wrapped in a `From`.
-2384            dialect: the dialect used to parse the input expression.
-2385            copy: if `False`, modify this expression instance in-place.
-2386            opts: other options to use to parse the input expressions.
-2387
-2388        Returns:
-2389            Select: the modified expression.
-2390        """
-2391        return _apply_builder(
-2392            expression=expression,
-2393            instance=self,
-2394            arg="from",
-2395            into=From,
-2396            prefix="FROM",
-2397            dialect=dialect,
-2398            copy=copy,
-2399            **opts,
-2400        )
-2401
-2402    def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2403        """
-2404        Set the GROUP BY expression.
-2405
-2406        Example:
-2407            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
-2408            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
-2409
-2410        Args:
-2411            *expressions (str | Expression): the SQL code strings to parse.
-2412                If a `Group` instance is passed, this is used as-is.
-2413                If another `Expression` instance is passed, it will be wrapped in a `Group`.
-2414                If nothing is passed in then a group by is not applied to the expression
-2415            append (bool): if `True`, add to any existing expressions.
-2416                Otherwise, this flattens all the `Group` expression into a single expression.
-2417            dialect (str): the dialect used to parse the input expression.
-2418            copy (bool): if `False`, modify this expression instance in-place.
-2419            opts (kwargs): other options to use to parse the input expressions.
-2420
-2421        Returns:
-2422            Select: the modified expression.
-2423        """
-2424        if not expressions:
-2425            return self if not copy else self.copy()
-2426        return _apply_child_list_builder(
-2427            *expressions,
-2428            instance=self,
-2429            arg="group",
-2430            append=append,
-2431            copy=copy,
-2432            prefix="GROUP BY",
-2433            into=Group,
-2434            dialect=dialect,
-2435            **opts,
-2436        )
-2437
-2438    def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2439        """
-2440        Set the ORDER BY expression.
-2441
-2442        Example:
-2443            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
-2444            'SELECT x FROM tbl ORDER BY x DESC'
-2445
-2446        Args:
-2447            *expressions (str | Expression): the SQL code strings to parse.
-2448                If a `Group` instance is passed, this is used as-is.
-2449                If another `Expression` instance is passed, it will be wrapped in a `Order`.
-2450            append (bool): if `True`, add to any existing expressions.
-2451                Otherwise, this flattens all the `Order` expression into a single expression.
-2452            dialect (str): the dialect used to parse the input expression.
-2453            copy (bool): if `False`, modify this expression instance in-place.
-2454            opts (kwargs): other options to use to parse the input expressions.
-2455
-2456        Returns:
-2457            Select: the modified expression.
-2458        """
-2459        return _apply_child_list_builder(
-2460            *expressions,
-2461            instance=self,
-2462            arg="order",
-2463            append=append,
-2464            copy=copy,
-2465            prefix="ORDER BY",
-2466            into=Order,
-2467            dialect=dialect,
-2468            **opts,
-2469        )
-2470
-2471    def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2472        """
-2473        Set the SORT BY expression.
-2474
-2475        Example:
-2476            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
-2477            'SELECT x FROM tbl SORT BY x DESC'
-2478
-2479        Args:
-2480            *expressions (str | Expression): the SQL code strings to parse.
-2481                If a `Group` instance is passed, this is used as-is.
-2482                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
-2483            append (bool): if `True`, add to any existing expressions.
-2484                Otherwise, this flattens all the `Order` expression into a single expression.
-2485            dialect (str): the dialect used to parse the input expression.
-2486            copy (bool): if `False`, modify this expression instance in-place.
-2487            opts (kwargs): other options to use to parse the input expressions.
-2488
-2489        Returns:
-2490            Select: the modified expression.
-2491        """
-2492        return _apply_child_list_builder(
-2493            *expressions,
-2494            instance=self,
-2495            arg="sort",
-2496            append=append,
-2497            copy=copy,
-2498            prefix="SORT BY",
-2499            into=Sort,
-2500            dialect=dialect,
-2501            **opts,
-2502        )
-2503
-2504    def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2505        """
-2506        Set the CLUSTER BY expression.
-2507
-2508        Example:
-2509            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
-2510            'SELECT x FROM tbl CLUSTER BY x DESC'
-2511
-2512        Args:
-2513            *expressions (str | Expression): the SQL code strings to parse.
-2514                If a `Group` instance is passed, this is used as-is.
-2515                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
-2516            append (bool): if `True`, add to any existing expressions.
-2517                Otherwise, this flattens all the `Order` expression into a single expression.
-2518            dialect (str): the dialect used to parse the input expression.
-2519            copy (bool): if `False`, modify this expression instance in-place.
-2520            opts (kwargs): other options to use to parse the input expressions.
-2521
-2522        Returns:
-2523            Select: the modified expression.
-2524        """
-2525        return _apply_child_list_builder(
-2526            *expressions,
-2527            instance=self,
-2528            arg="cluster",
-2529            append=append,
-2530            copy=copy,
-2531            prefix="CLUSTER BY",
-2532            into=Cluster,
-2533            dialect=dialect,
-2534            **opts,
-2535        )
-2536
-2537    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
-2538        """
-2539        Set the LIMIT expression.
-2540
-2541        Example:
-2542            >>> Select().from_("tbl").select("x").limit(10).sql()
-2543            'SELECT x FROM tbl LIMIT 10'
-2544
-2545        Args:
-2546            expression (str | int | Expression): the SQL code string to parse.
-2547                This can also be an integer.
-2548                If a `Limit` instance is passed, this is used as-is.
-2549                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2550            dialect (str): the dialect used to parse the input expression.
-2551            copy (bool): if `False`, modify this expression instance in-place.
-2552            opts (kwargs): other options to use to parse the input expressions.
-2553
-2554        Returns:
-2555            Select: the modified expression.
-2556        """
-2557        return _apply_builder(
-2558            expression=expression,
-2559            instance=self,
-2560            arg="limit",
-2561            into=Limit,
-2562            prefix="LIMIT",
-2563            dialect=dialect,
-2564            copy=copy,
-2565            **opts,
-2566        )
-2567
-2568    def offset(self, expression, dialect=None, copy=True, **opts) -> Select:
-2569        """
-2570        Set the OFFSET expression.
-2571
-2572        Example:
-2573            >>> Select().from_("tbl").select("x").offset(10).sql()
-2574            'SELECT x FROM tbl OFFSET 10'
-2575
-2576        Args:
-2577            expression (str | int | Expression): the SQL code string to parse.
-2578                This can also be an integer.
-2579                If a `Offset` instance is passed, this is used as-is.
-2580                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
-2581            dialect (str): the dialect used to parse the input expression.
-2582            copy (bool): if `False`, modify this expression instance in-place.
-2583            opts (kwargs): other options to use to parse the input expressions.
-2584
-2585        Returns:
-2586            Select: the modified expression.
-2587        """
-2588        return _apply_builder(
-2589            expression=expression,
-2590            instance=self,
-2591            arg="offset",
-2592            into=Offset,
-2593            prefix="OFFSET",
-2594            dialect=dialect,
-2595            copy=copy,
-2596            **opts,
-2597        )
-2598
-2599    def select(
-2600        self,
-2601        *expressions: ExpOrStr,
-2602        append: bool = True,
-2603        dialect: DialectType = None,
-2604        copy: bool = True,
-2605        **opts,
-2606    ) -> Select:
-2607        """
-2608        Append to or set the SELECT expressions.
-2609
-2610        Example:
-2611            >>> Select().select("x", "y").sql()
-2612            'SELECT x, y'
-2613
-2614        Args:
-2615            *expressions: the SQL code strings to parse.
-2616                If an `Expression` instance is passed, it will be used as-is.
-2617            append: if `True`, add to any existing expressions.
-2618                Otherwise, this resets the expressions.
-2619            dialect: the dialect used to parse the input expressions.
-2620            copy: if `False`, modify this expression instance in-place.
-2621            opts: other options to use to parse the input expressions.
-2622
-2623        Returns:
-2624            Select: the modified expression.
-2625        """
-2626        return _apply_list_builder(
-2627            *expressions,
-2628            instance=self,
-2629            arg="expressions",
-2630            append=append,
-2631            dialect=dialect,
-2632            copy=copy,
-2633            **opts,
-2634        )
-2635
-2636    def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2637        """
-2638        Append to or set the LATERAL expressions.
-2639
-2640        Example:
-2641            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
-2642            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
-2643
-2644        Args:
-2645            *expressions (str | Expression): the SQL code strings to parse.
-2646                If an `Expression` instance is passed, it will be used as-is.
-2647            append (bool): if `True`, add to any existing expressions.
-2648                Otherwise, this resets the expressions.
-2649            dialect (str): the dialect used to parse the input expressions.
-2650            copy (bool): if `False`, modify this expression instance in-place.
-2651            opts (kwargs): other options to use to parse the input expressions.
-2652
-2653        Returns:
-2654            Select: the modified expression.
-2655        """
-2656        return _apply_list_builder(
-2657            *expressions,
-2658            instance=self,
-2659            arg="laterals",
-2660            append=append,
-2661            into=Lateral,
-2662            prefix="LATERAL VIEW",
-2663            dialect=dialect,
-2664            copy=copy,
-2665            **opts,
-2666        )
-2667
-2668    def join(
-2669        self,
-2670        expression,
-2671        on=None,
-2672        using=None,
-2673        append=True,
-2674        join_type=None,
-2675        join_alias=None,
-2676        dialect=None,
-2677        copy=True,
-2678        **opts,
-2679    ) -> Select:
-2680        """
-2681        Append to or set the JOIN expressions.
-2682
-2683        Example:
-2684            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
-2685            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
-2686
-2687            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
-2688            'SELECT 1 FROM a JOIN b USING (x, y, z)'
-2689
-2690            Use `join_type` to change the type of join:
-2691
-2692            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
-2693            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
+            
    2408class Select(Subqueryable):
+2409    arg_types = {
+2410        "with": False,
+2411        "kind": False,
+2412        "expressions": False,
+2413        "hint": False,
+2414        "distinct": False,
+2415        "struct": False,  # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#return_query_results_as_a_value_table
+2416        "value": False,
+2417        "into": False,
+2418        "from": False,
+2419        **QUERY_MODIFIERS,
+2420    }
+2421
+2422    def from_(
+2423        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
+2424    ) -> Select:
+2425        """
+2426        Set the FROM expression.
+2427
+2428        Example:
+2429            >>> Select().from_("tbl").select("x").sql()
+2430            'SELECT x FROM tbl'
+2431
+2432        Args:
+2433            expression : the SQL code strings to parse.
+2434                If a `From` instance is passed, this is used as-is.
+2435                If another `Expression` instance is passed, it will be wrapped in a `From`.
+2436            dialect: the dialect used to parse the input expression.
+2437            copy: if `False`, modify this expression instance in-place.
+2438            opts: other options to use to parse the input expressions.
+2439
+2440        Returns:
+2441            The modified Select expression.
+2442        """
+2443        return _apply_builder(
+2444            expression=expression,
+2445            instance=self,
+2446            arg="from",
+2447            into=From,
+2448            prefix="FROM",
+2449            dialect=dialect,
+2450            copy=copy,
+2451            **opts,
+2452        )
+2453
+2454    def group_by(
+2455        self,
+2456        *expressions: t.Optional[ExpOrStr],
+2457        append: bool = True,
+2458        dialect: DialectType = None,
+2459        copy: bool = True,
+2460        **opts,
+2461    ) -> Select:
+2462        """
+2463        Set the GROUP BY expression.
+2464
+2465        Example:
+2466            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
+2467            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
+2468
+2469        Args:
+2470            *expressions: the SQL code strings to parse.
+2471                If a `Group` instance is passed, this is used as-is.
+2472                If another `Expression` instance is passed, it will be wrapped in a `Group`.
+2473                If nothing is passed in then a group by is not applied to the expression
+2474            append: if `True`, add to any existing expressions.
+2475                Otherwise, this flattens all the `Group` expression into a single expression.
+2476            dialect: the dialect used to parse the input expression.
+2477            copy: if `False`, modify this expression instance in-place.
+2478            opts: other options to use to parse the input expressions.
+2479
+2480        Returns:
+2481            The modified Select expression.
+2482        """
+2483        if not expressions:
+2484            return self if not copy else self.copy()
+2485
+2486        return _apply_child_list_builder(
+2487            *expressions,
+2488            instance=self,
+2489            arg="group",
+2490            append=append,
+2491            copy=copy,
+2492            prefix="GROUP BY",
+2493            into=Group,
+2494            dialect=dialect,
+2495            **opts,
+2496        )
+2497
+2498    def order_by(
+2499        self,
+2500        *expressions: t.Optional[ExpOrStr],
+2501        append: bool = True,
+2502        dialect: DialectType = None,
+2503        copy: bool = True,
+2504        **opts,
+2505    ) -> Select:
+2506        """
+2507        Set the ORDER BY expression.
+2508
+2509        Example:
+2510            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
+2511            'SELECT x FROM tbl ORDER BY x DESC'
+2512
+2513        Args:
+2514            *expressions: the SQL code strings to parse.
+2515                If a `Group` instance is passed, this is used as-is.
+2516                If another `Expression` instance is passed, it will be wrapped in a `Order`.
+2517            append: if `True`, add to any existing expressions.
+2518                Otherwise, this flattens all the `Order` expression into a single expression.
+2519            dialect: the dialect used to parse the input expression.
+2520            copy: if `False`, modify this expression instance in-place.
+2521            opts: other options to use to parse the input expressions.
+2522
+2523        Returns:
+2524            The modified Select expression.
+2525        """
+2526        return _apply_child_list_builder(
+2527            *expressions,
+2528            instance=self,
+2529            arg="order",
+2530            append=append,
+2531            copy=copy,
+2532            prefix="ORDER BY",
+2533            into=Order,
+2534            dialect=dialect,
+2535            **opts,
+2536        )
+2537
+2538    def sort_by(
+2539        self,
+2540        *expressions: t.Optional[ExpOrStr],
+2541        append: bool = True,
+2542        dialect: DialectType = None,
+2543        copy: bool = True,
+2544        **opts,
+2545    ) -> Select:
+2546        """
+2547        Set the SORT BY expression.
+2548
+2549        Example:
+2550            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
+2551            'SELECT x FROM tbl SORT BY x DESC'
+2552
+2553        Args:
+2554            *expressions: the SQL code strings to parse.
+2555                If a `Group` instance is passed, this is used as-is.
+2556                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
+2557            append: if `True`, add to any existing expressions.
+2558                Otherwise, this flattens all the `Order` expression into a single expression.
+2559            dialect: the dialect used to parse the input expression.
+2560            copy: if `False`, modify this expression instance in-place.
+2561            opts: other options to use to parse the input expressions.
+2562
+2563        Returns:
+2564            The modified Select expression.
+2565        """
+2566        return _apply_child_list_builder(
+2567            *expressions,
+2568            instance=self,
+2569            arg="sort",
+2570            append=append,
+2571            copy=copy,
+2572            prefix="SORT BY",
+2573            into=Sort,
+2574            dialect=dialect,
+2575            **opts,
+2576        )
+2577
+2578    def cluster_by(
+2579        self,
+2580        *expressions: t.Optional[ExpOrStr],
+2581        append: bool = True,
+2582        dialect: DialectType = None,
+2583        copy: bool = True,
+2584        **opts,
+2585    ) -> Select:
+2586        """
+2587        Set the CLUSTER BY expression.
+2588
+2589        Example:
+2590            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
+2591            'SELECT x FROM tbl CLUSTER BY x DESC'
+2592
+2593        Args:
+2594            *expressions: the SQL code strings to parse.
+2595                If a `Group` instance is passed, this is used as-is.
+2596                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
+2597            append: if `True`, add to any existing expressions.
+2598                Otherwise, this flattens all the `Order` expression into a single expression.
+2599            dialect: the dialect used to parse the input expression.
+2600            copy: if `False`, modify this expression instance in-place.
+2601            opts: other options to use to parse the input expressions.
+2602
+2603        Returns:
+2604            The modified Select expression.
+2605        """
+2606        return _apply_child_list_builder(
+2607            *expressions,
+2608            instance=self,
+2609            arg="cluster",
+2610            append=append,
+2611            copy=copy,
+2612            prefix="CLUSTER BY",
+2613            into=Cluster,
+2614            dialect=dialect,
+2615            **opts,
+2616        )
+2617
+2618    def limit(
+2619        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2620    ) -> Select:
+2621        """
+2622        Set the LIMIT expression.
+2623
+2624        Example:
+2625            >>> Select().from_("tbl").select("x").limit(10).sql()
+2626            'SELECT x FROM tbl LIMIT 10'
+2627
+2628        Args:
+2629            expression: the SQL code string to parse.
+2630                This can also be an integer.
+2631                If a `Limit` instance is passed, this is used as-is.
+2632                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2633            dialect: the dialect used to parse the input expression.
+2634            copy: if `False`, modify this expression instance in-place.
+2635            opts: other options to use to parse the input expressions.
+2636
+2637        Returns:
+2638            Select: the modified expression.
+2639        """
+2640        return _apply_builder(
+2641            expression=expression,
+2642            instance=self,
+2643            arg="limit",
+2644            into=Limit,
+2645            prefix="LIMIT",
+2646            dialect=dialect,
+2647            copy=copy,
+2648            **opts,
+2649        )
+2650
+2651    def offset(
+2652        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2653    ) -> Select:
+2654        """
+2655        Set the OFFSET expression.
+2656
+2657        Example:
+2658            >>> Select().from_("tbl").select("x").offset(10).sql()
+2659            'SELECT x FROM tbl OFFSET 10'
+2660
+2661        Args:
+2662            expression: the SQL code string to parse.
+2663                This can also be an integer.
+2664                If a `Offset` instance is passed, this is used as-is.
+2665                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
+2666            dialect: the dialect used to parse the input expression.
+2667            copy: if `False`, modify this expression instance in-place.
+2668            opts: other options to use to parse the input expressions.
+2669
+2670        Returns:
+2671            The modified Select expression.
+2672        """
+2673        return _apply_builder(
+2674            expression=expression,
+2675            instance=self,
+2676            arg="offset",
+2677            into=Offset,
+2678            prefix="OFFSET",
+2679            dialect=dialect,
+2680            copy=copy,
+2681            **opts,
+2682        )
+2683
+2684    def select(
+2685        self,
+2686        *expressions: t.Optional[ExpOrStr],
+2687        append: bool = True,
+2688        dialect: DialectType = None,
+2689        copy: bool = True,
+2690        **opts,
+2691    ) -> Select:
+2692        """
+2693        Append to or set the SELECT expressions.
 2694
-2695        Args:
-2696            expression (str | Expression): the SQL code string to parse.
-2697                If an `Expression` instance is passed, it will be used as-is.
-2698            on (str | Expression): optionally specify the join "on" criteria as a SQL string.
-2699                If an `Expression` instance is passed, it will be used as-is.
-2700            using (str | Expression): optionally specify the join "using" criteria as a SQL string.
+2695        Example:
+2696            >>> Select().select("x", "y").sql()
+2697            'SELECT x, y'
+2698
+2699        Args:
+2700            *expressions: the SQL code strings to parse.
 2701                If an `Expression` instance is passed, it will be used as-is.
-2702            append (bool): if `True`, add to any existing expressions.
+2702            append: if `True`, add to any existing expressions.
 2703                Otherwise, this resets the expressions.
-2704            join_type (str): If set, alter the parsed join type
-2705            dialect (str): the dialect used to parse the input expressions.
-2706            copy (bool): if `False`, modify this expression instance in-place.
-2707            opts (kwargs): other options to use to parse the input expressions.
-2708
-2709        Returns:
-2710            Select: the modified expression.
-2711        """
-2712        parse_args = {"dialect": dialect, **opts}
-2713
-2714        try:
-2715            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
-2716        except ParseError:
-2717            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
-2718
-2719        join = expression if isinstance(expression, Join) else Join(this=expression)
+2704            dialect: the dialect used to parse the input expressions.
+2705            copy: if `False`, modify this expression instance in-place.
+2706            opts: other options to use to parse the input expressions.
+2707
+2708        Returns:
+2709            The modified Select expression.
+2710        """
+2711        return _apply_list_builder(
+2712            *expressions,
+2713            instance=self,
+2714            arg="expressions",
+2715            append=append,
+2716            dialect=dialect,
+2717            copy=copy,
+2718            **opts,
+2719        )
 2720
-2721        if isinstance(join.this, Select):
-2722            join.this.replace(join.this.subquery())
-2723
-2724        if join_type:
-2725            natural: t.Optional[Token]
-2726            side: t.Optional[Token]
-2727            kind: t.Optional[Token]
-2728
-2729            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
-2730
-2731            if natural:
-2732                join.set("natural", True)
-2733            if side:
-2734                join.set("side", side.text)
-2735            if kind:
-2736                join.set("kind", kind.text)
-2737
-2738        if on:
-2739            on = and_(*ensure_collection(on), dialect=dialect, copy=copy, **opts)
-2740            join.set("on", on)
-2741
-2742        if using:
-2743            join = _apply_list_builder(
-2744                *ensure_collection(using),
-2745                instance=join,
-2746                arg="using",
-2747                append=append,
-2748                copy=copy,
-2749                **opts,
-2750            )
-2751
-2752        if join_alias:
-2753            join.set("this", alias_(join.this, join_alias, table=True))
-2754        return _apply_list_builder(
-2755            join,
-2756            instance=self,
-2757            arg="joins",
-2758            append=append,
-2759            copy=copy,
-2760            **opts,
-2761        )
-2762
-2763    def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2764        """
-2765        Append to or set the WHERE expressions.
-2766
-2767        Example:
-2768            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
-2769            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
-2770
-2771        Args:
-2772            *expressions (str | Expression): the SQL code strings to parse.
-2773                If an `Expression` instance is passed, it will be used as-is.
-2774                Multiple expressions are combined with an AND operator.
-2775            append (bool): if `True`, AND the new expressions to any existing expression.
-2776                Otherwise, this resets the expression.
-2777            dialect (str): the dialect used to parse the input expressions.
-2778            copy (bool): if `False`, modify this expression instance in-place.
-2779            opts (kwargs): other options to use to parse the input expressions.
-2780
-2781        Returns:
-2782            Select: the modified expression.
-2783        """
-2784        return _apply_conjunction_builder(
-2785            *expressions,
-2786            instance=self,
-2787            arg="where",
-2788            append=append,
-2789            into=Where,
-2790            dialect=dialect,
-2791            copy=copy,
-2792            **opts,
-2793        )
-2794
-2795    def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2796        """
-2797        Append to or set the HAVING expressions.
-2798
-2799        Example:
-2800            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
-2801            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
-2802
-2803        Args:
-2804            *expressions (str | Expression): the SQL code strings to parse.
-2805                If an `Expression` instance is passed, it will be used as-is.
-2806                Multiple expressions are combined with an AND operator.
-2807            append (bool): if `True`, AND the new expressions to any existing expression.
-2808                Otherwise, this resets the expression.
-2809            dialect (str): the dialect used to parse the input expressions.
-2810            copy (bool): if `False`, modify this expression instance in-place.
-2811            opts (kwargs): other options to use to parse the input expressions.
-2812
-2813        Returns:
-2814            Select: the modified expression.
-2815        """
-2816        return _apply_conjunction_builder(
-2817            *expressions,
-2818            instance=self,
-2819            arg="having",
-2820            append=append,
-2821            into=Having,
-2822            dialect=dialect,
-2823            copy=copy,
-2824            **opts,
-2825        )
-2826
-2827    def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2828        return _apply_list_builder(
-2829            *expressions,
-2830            instance=self,
-2831            arg="windows",
-2832            append=append,
-2833            into=Window,
-2834            dialect=dialect,
-2835            copy=copy,
-2836            **opts,
-2837        )
-2838
-2839    def qualify(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2840        return _apply_conjunction_builder(
-2841            *expressions,
-2842            instance=self,
-2843            arg="qualify",
-2844            append=append,
-2845            into=Qualify,
-2846            dialect=dialect,
-2847            copy=copy,
-2848            **opts,
-2849        )
-2850
-2851    def distinct(self, *ons: ExpOrStr, distinct: bool = True, copy: bool = True) -> Select:
-2852        """
-2853        Set the OFFSET expression.
-2854
-2855        Example:
-2856            >>> Select().from_("tbl").select("x").distinct().sql()
-2857            'SELECT DISTINCT x FROM tbl'
-2858
-2859        Args:
-2860            ons: the expressions to distinct on
-2861            distinct: whether the Select should be distinct
-2862            copy: if `False`, modify this expression instance in-place.
-2863
-2864        Returns:
-2865            Select: the modified expression.
-2866        """
-2867        instance = _maybe_copy(self, copy)
-2868        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons]) if ons else None
-2869        instance.set("distinct", Distinct(on=on) if distinct else None)
-2870        return instance
+2721    def lateral(
+2722        self,
+2723        *expressions: t.Optional[ExpOrStr],
+2724        append: bool = True,
+2725        dialect: DialectType = None,
+2726        copy: bool = True,
+2727        **opts,
+2728    ) -> Select:
+2729        """
+2730        Append to or set the LATERAL expressions.
+2731
+2732        Example:
+2733            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
+2734            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
+2735
+2736        Args:
+2737            *expressions: the SQL code strings to parse.
+2738                If an `Expression` instance is passed, it will be used as-is.
+2739            append: if `True`, add to any existing expressions.
+2740                Otherwise, this resets the expressions.
+2741            dialect: the dialect used to parse the input expressions.
+2742            copy: if `False`, modify this expression instance in-place.
+2743            opts: other options to use to parse the input expressions.
+2744
+2745        Returns:
+2746            The modified Select expression.
+2747        """
+2748        return _apply_list_builder(
+2749            *expressions,
+2750            instance=self,
+2751            arg="laterals",
+2752            append=append,
+2753            into=Lateral,
+2754            prefix="LATERAL VIEW",
+2755            dialect=dialect,
+2756            copy=copy,
+2757            **opts,
+2758        )
+2759
+2760    def join(
+2761        self,
+2762        expression: ExpOrStr,
+2763        on: t.Optional[ExpOrStr] = None,
+2764        using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None,
+2765        append: bool = True,
+2766        join_type: t.Optional[str] = None,
+2767        join_alias: t.Optional[Identifier | str] = None,
+2768        dialect: DialectType = None,
+2769        copy: bool = True,
+2770        **opts,
+2771    ) -> Select:
+2772        """
+2773        Append to or set the JOIN expressions.
+2774
+2775        Example:
+2776            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
+2777            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
+2778
+2779            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
+2780            'SELECT 1 FROM a JOIN b USING (x, y, z)'
+2781
+2782            Use `join_type` to change the type of join:
+2783
+2784            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
+2785            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
+2786
+2787        Args:
+2788            expression: the SQL code string to parse.
+2789                If an `Expression` instance is passed, it will be used as-is.
+2790            on: optionally specify the join "on" criteria as a SQL string.
+2791                If an `Expression` instance is passed, it will be used as-is.
+2792            using: optionally specify the join "using" criteria as a SQL string.
+2793                If an `Expression` instance is passed, it will be used as-is.
+2794            append: if `True`, add to any existing expressions.
+2795                Otherwise, this resets the expressions.
+2796            join_type: if set, alter the parsed join type.
+2797            join_alias: an optional alias for the joined source.
+2798            dialect: the dialect used to parse the input expressions.
+2799            copy: if `False`, modify this expression instance in-place.
+2800            opts: other options to use to parse the input expressions.
+2801
+2802        Returns:
+2803            Select: the modified expression.
+2804        """
+2805        parse_args = {"dialect": dialect, **opts}
+2806
+2807        try:
+2808            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)  # type: ignore
+2809        except ParseError:
+2810            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)  # type: ignore
+2811
+2812        join = expression if isinstance(expression, Join) else Join(this=expression)
+2813
+2814        if isinstance(join.this, Select):
+2815            join.this.replace(join.this.subquery())
+2816
+2817        if join_type:
+2818            natural: t.Optional[Token]
+2819            side: t.Optional[Token]
+2820            kind: t.Optional[Token]
+2821
+2822            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
+2823
+2824            if natural:
+2825                join.set("natural", True)
+2826            if side:
+2827                join.set("side", side.text)
+2828            if kind:
+2829                join.set("kind", kind.text)
+2830
+2831        if on:
+2832            on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts)
+2833            join.set("on", on)
+2834
+2835        if using:
+2836            join = _apply_list_builder(
+2837                *ensure_list(using),
+2838                instance=join,
+2839                arg="using",
+2840                append=append,
+2841                copy=copy,
+2842                **opts,
+2843            )
+2844
+2845        if join_alias:
+2846            join.set("this", alias_(join.this, join_alias, table=True))
+2847
+2848        return _apply_list_builder(
+2849            join,
+2850            instance=self,
+2851            arg="joins",
+2852            append=append,
+2853            copy=copy,
+2854            **opts,
+2855        )
+2856
+2857    def where(
+2858        self,
+2859        *expressions: t.Optional[ExpOrStr],
+2860        append: bool = True,
+2861        dialect: DialectType = None,
+2862        copy: bool = True,
+2863        **opts,
+2864    ) -> Select:
+2865        """
+2866        Append to or set the WHERE expressions.
+2867
+2868        Example:
+2869            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
+2870            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
 2871
-2872    def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create:
-2873        """
-2874        Convert this expression to a CREATE TABLE AS statement.
-2875
-2876        Example:
-2877            >>> Select().select("*").from_("tbl").ctas("x").sql()
-2878            'CREATE TABLE x AS SELECT * FROM tbl'
-2879
-2880        Args:
-2881            table (str | Expression): the SQL code string to parse as the table name.
-2882                If another `Expression` instance is passed, it will be used as-is.
-2883            properties (dict): an optional mapping of table properties
-2884            dialect (str): the dialect used to parse the input table.
-2885            copy (bool): if `False`, modify this expression instance in-place.
-2886            opts (kwargs): other options to use to parse the input table.
-2887
-2888        Returns:
-2889            Create: the CREATE TABLE AS expression
-2890        """
-2891        instance = _maybe_copy(self, copy)
-2892        table_expression = maybe_parse(
-2893            table,
-2894            into=Table,
-2895            dialect=dialect,
-2896            **opts,
-2897        )
-2898        properties_expression = None
-2899        if properties:
-2900            properties_expression = Properties.from_dict(properties)
-2901
-2902        return Create(
-2903            this=table_expression,
-2904            kind="table",
-2905            expression=instance,
-2906            properties=properties_expression,
-2907        )
-2908
-2909    def lock(self, update: bool = True, copy: bool = True) -> Select:
-2910        """
-2911        Set the locking read mode for this expression.
-2912
-2913        Examples:
-2914            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
-2915            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
-2916
-2917            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
-2918            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
-2919
-2920        Args:
-2921            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
-2922            copy: if `False`, modify this expression instance in-place.
-2923
-2924        Returns:
-2925            The modified expression.
-2926        """
-2927
-2928        inst = _maybe_copy(self, copy)
-2929        inst.set("locks", [Lock(update=update)])
-2930
-2931        return inst
-2932
-2933    @property
-2934    def named_selects(self) -> t.List[str]:
-2935        return [e.output_name for e in self.expressions if e.alias_or_name]
-2936
-2937    @property
-2938    def is_star(self) -> bool:
-2939        return any(expression.is_star for expression in self.expressions)
-2940
-2941    @property
-2942    def selects(self) -> t.List[Expression]:
-2943        return self.expressions
+2872        Args:
+2873            *expressions: the SQL code strings to parse.
+2874                If an `Expression` instance is passed, it will be used as-is.
+2875                Multiple expressions are combined with an AND operator.
+2876            append: if `True`, AND the new expressions to any existing expression.
+2877                Otherwise, this resets the expression.
+2878            dialect: the dialect used to parse the input expressions.
+2879            copy: if `False`, modify this expression instance in-place.
+2880            opts: other options to use to parse the input expressions.
+2881
+2882        Returns:
+2883            Select: the modified expression.
+2884        """
+2885        return _apply_conjunction_builder(
+2886            *expressions,
+2887            instance=self,
+2888            arg="where",
+2889            append=append,
+2890            into=Where,
+2891            dialect=dialect,
+2892            copy=copy,
+2893            **opts,
+2894        )
+2895
+2896    def having(
+2897        self,
+2898        *expressions: t.Optional[ExpOrStr],
+2899        append: bool = True,
+2900        dialect: DialectType = None,
+2901        copy: bool = True,
+2902        **opts,
+2903    ) -> Select:
+2904        """
+2905        Append to or set the HAVING expressions.
+2906
+2907        Example:
+2908            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
+2909            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
+2910
+2911        Args:
+2912            *expressions: the SQL code strings to parse.
+2913                If an `Expression` instance is passed, it will be used as-is.
+2914                Multiple expressions are combined with an AND operator.
+2915            append: if `True`, AND the new expressions to any existing expression.
+2916                Otherwise, this resets the expression.
+2917            dialect: the dialect used to parse the input expressions.
+2918            copy: if `False`, modify this expression instance in-place.
+2919            opts: other options to use to parse the input expressions.
+2920
+2921        Returns:
+2922            The modified Select expression.
+2923        """
+2924        return _apply_conjunction_builder(
+2925            *expressions,
+2926            instance=self,
+2927            arg="having",
+2928            append=append,
+2929            into=Having,
+2930            dialect=dialect,
+2931            copy=copy,
+2932            **opts,
+2933        )
+2934
+2935    def window(
+2936        self,
+2937        *expressions: t.Optional[ExpOrStr],
+2938        append: bool = True,
+2939        dialect: DialectType = None,
+2940        copy: bool = True,
+2941        **opts,
+2942    ) -> Select:
+2943        return _apply_list_builder(
+2944            *expressions,
+2945            instance=self,
+2946            arg="windows",
+2947            append=append,
+2948            into=Window,
+2949            dialect=dialect,
+2950            copy=copy,
+2951            **opts,
+2952        )
+2953
+2954    def qualify(
+2955        self,
+2956        *expressions: t.Optional[ExpOrStr],
+2957        append: bool = True,
+2958        dialect: DialectType = None,
+2959        copy: bool = True,
+2960        **opts,
+2961    ) -> Select:
+2962        return _apply_conjunction_builder(
+2963            *expressions,
+2964            instance=self,
+2965            arg="qualify",
+2966            append=append,
+2967            into=Qualify,
+2968            dialect=dialect,
+2969            copy=copy,
+2970            **opts,
+2971        )
+2972
+2973    def distinct(
+2974        self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True
+2975    ) -> Select:
+2976        """
+2977        Set the OFFSET expression.
+2978
+2979        Example:
+2980            >>> Select().from_("tbl").select("x").distinct().sql()
+2981            'SELECT DISTINCT x FROM tbl'
+2982
+2983        Args:
+2984            ons: the expressions to distinct on
+2985            distinct: whether the Select should be distinct
+2986            copy: if `False`, modify this expression instance in-place.
+2987
+2988        Returns:
+2989            Select: the modified expression.
+2990        """
+2991        instance = _maybe_copy(self, copy)
+2992        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None
+2993        instance.set("distinct", Distinct(on=on) if distinct else None)
+2994        return instance
+2995
+2996    def ctas(
+2997        self,
+2998        table: ExpOrStr,
+2999        properties: t.Optional[t.Dict] = None,
+3000        dialect: DialectType = None,
+3001        copy: bool = True,
+3002        **opts,
+3003    ) -> Create:
+3004        """
+3005        Convert this expression to a CREATE TABLE AS statement.
+3006
+3007        Example:
+3008            >>> Select().select("*").from_("tbl").ctas("x").sql()
+3009            'CREATE TABLE x AS SELECT * FROM tbl'
+3010
+3011        Args:
+3012            table: the SQL code string to parse as the table name.
+3013                If another `Expression` instance is passed, it will be used as-is.
+3014            properties: an optional mapping of table properties
+3015            dialect: the dialect used to parse the input table.
+3016            copy: if `False`, modify this expression instance in-place.
+3017            opts: other options to use to parse the input table.
+3018
+3019        Returns:
+3020            The new Create expression.
+3021        """
+3022        instance = _maybe_copy(self, copy)
+3023        table_expression = maybe_parse(
+3024            table,
+3025            into=Table,
+3026            dialect=dialect,
+3027            **opts,
+3028        )
+3029        properties_expression = None
+3030        if properties:
+3031            properties_expression = Properties.from_dict(properties)
+3032
+3033        return Create(
+3034            this=table_expression,
+3035            kind="table",
+3036            expression=instance,
+3037            properties=properties_expression,
+3038        )
+3039
+3040    def lock(self, update: bool = True, copy: bool = True) -> Select:
+3041        """
+3042        Set the locking read mode for this expression.
+3043
+3044        Examples:
+3045            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
+3046            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
+3047
+3048            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
+3049            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
+3050
+3051        Args:
+3052            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
+3053            copy: if `False`, modify this expression instance in-place.
+3054
+3055        Returns:
+3056            The modified expression.
+3057        """
+3058
+3059        inst = _maybe_copy(self, copy)
+3060        inst.set("locks", [Lock(update=update)])
+3061
+3062        return inst
+3063
+3064    @property
+3065    def named_selects(self) -> t.List[str]:
+3066        return [e.output_name for e in self.expressions if e.alias_or_name]
+3067
+3068    @property
+3069    def is_star(self) -> bool:
+3070        return any(expression.is_star for expression in self.expressions)
+3071
+3072    @property
+3073    def selects(self) -> t.List[Expression]:
+3074        return self.expressions
 
    
 
 
@@ -24183,37 +24621,37 @@ 
    Inherited Members
    
 
     
    
     
-            
    2370    def from_(
-2371        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
-2372    ) -> Select:
-2373        """
-2374        Set the FROM expression.
-2375
-2376        Example:
-2377            >>> Select().from_("tbl").select("x").sql()
-2378            'SELECT x FROM tbl'
-2379
-2380        Args:
-2381            expression : the SQL code strings to parse.
-2382                If a `From` instance is passed, this is used as-is.
-2383                If another `Expression` instance is passed, it will be wrapped in a `From`.
-2384            dialect: the dialect used to parse the input expression.
-2385            copy: if `False`, modify this expression instance in-place.
-2386            opts: other options to use to parse the input expressions.
-2387
-2388        Returns:
-2389            Select: the modified expression.
-2390        """
-2391        return _apply_builder(
-2392            expression=expression,
-2393            instance=self,
-2394            arg="from",
-2395            into=From,
-2396            prefix="FROM",
-2397            dialect=dialect,
-2398            copy=copy,
-2399            **opts,
-2400        )
+            
    2422    def from_(
+2423        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
+2424    ) -> Select:
+2425        """
+2426        Set the FROM expression.
+2427
+2428        Example:
+2429            >>> Select().from_("tbl").select("x").sql()
+2430            'SELECT x FROM tbl'
+2431
+2432        Args:
+2433            expression : the SQL code strings to parse.
+2434                If a `From` instance is passed, this is used as-is.
+2435                If another `Expression` instance is passed, it will be wrapped in a `From`.
+2436            dialect: the dialect used to parse the input expression.
+2437            copy: if `False`, modify this expression instance in-place.
+2438            opts: other options to use to parse the input expressions.
+2439
+2440        Returns:
+2441            The modified Select expression.
+2442        """
+2443        return _apply_builder(
+2444            expression=expression,
+2445            instance=self,
+2446            arg="from",
+2447            into=From,
+2448            prefix="FROM",
+2449            dialect=dialect,
+2450            copy=copy,
+2451            **opts,
+2452        )
 
    
 
 
@@ -24243,7 +24681,7 @@ 
    Arguments:
    
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24254,47 +24692,55 @@ 
    Returns:
    
 
    
             
         def
-        group_by(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        group_by(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2402    def group_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2403        """
-2404        Set the GROUP BY expression.
-2405
-2406        Example:
-2407            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
-2408            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
-2409
-2410        Args:
-2411            *expressions (str | Expression): the SQL code strings to parse.
-2412                If a `Group` instance is passed, this is used as-is.
-2413                If another `Expression` instance is passed, it will be wrapped in a `Group`.
-2414                If nothing is passed in then a group by is not applied to the expression
-2415            append (bool): if `True`, add to any existing expressions.
-2416                Otherwise, this flattens all the `Group` expression into a single expression.
-2417            dialect (str): the dialect used to parse the input expression.
-2418            copy (bool): if `False`, modify this expression instance in-place.
-2419            opts (kwargs): other options to use to parse the input expressions.
-2420
-2421        Returns:
-2422            Select: the modified expression.
-2423        """
-2424        if not expressions:
-2425            return self if not copy else self.copy()
-2426        return _apply_child_list_builder(
-2427            *expressions,
-2428            instance=self,
-2429            arg="group",
-2430            append=append,
-2431            copy=copy,
-2432            prefix="GROUP BY",
-2433            into=Group,
-2434            dialect=dialect,
-2435            **opts,
-2436        )
+            
    2454    def group_by(
+2455        self,
+2456        *expressions: t.Optional[ExpOrStr],
+2457        append: bool = True,
+2458        dialect: DialectType = None,
+2459        copy: bool = True,
+2460        **opts,
+2461    ) -> Select:
+2462        """
+2463        Set the GROUP BY expression.
+2464
+2465        Example:
+2466            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
+2467            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
+2468
+2469        Args:
+2470            *expressions: the SQL code strings to parse.
+2471                If a `Group` instance is passed, this is used as-is.
+2472                If another `Expression` instance is passed, it will be wrapped in a `Group`.
+2473                If nothing is passed in then a group by is not applied to the expression
+2474            append: if `True`, add to any existing expressions.
+2475                Otherwise, this flattens all the `Group` expression into a single expression.
+2476            dialect: the dialect used to parse the input expression.
+2477            copy: if `False`, modify this expression instance in-place.
+2478            opts: other options to use to parse the input expressions.
+2479
+2480        Returns:
+2481            The modified Select expression.
+2482        """
+2483        if not expressions:
+2484            return self if not copy else self.copy()
+2485
+2486        return _apply_child_list_builder(
+2487            *expressions,
+2488            instance=self,
+2489            arg="group",
+2490            append=append,
+2491            copy=copy,
+2492            prefix="GROUP BY",
+2493            into=Group,
+2494            dialect=dialect,
+2495            **opts,
+2496        )
 
    
 
 
@@ -24313,21 +24759,21 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If a Group instance is passed, this is used as-is.
 If another Expression instance is passed, it will be wrapped in a Group.
 If nothing is passed in then a group by is not applied to the expression
      • 
-
    • append (bool):  if True, add to any existing expressions.
+
    • append:  if True, add to any existing expressions.
 Otherwise, this flattens all the Group expression into a single expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24338,44 +24784,51 @@ 
    Returns:
    
 
    
             
         def
-        order_by(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        order_by(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2438    def order_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2439        """
-2440        Set the ORDER BY expression.
-2441
-2442        Example:
-2443            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
-2444            'SELECT x FROM tbl ORDER BY x DESC'
-2445
-2446        Args:
-2447            *expressions (str | Expression): the SQL code strings to parse.
-2448                If a `Group` instance is passed, this is used as-is.
-2449                If another `Expression` instance is passed, it will be wrapped in a `Order`.
-2450            append (bool): if `True`, add to any existing expressions.
-2451                Otherwise, this flattens all the `Order` expression into a single expression.
-2452            dialect (str): the dialect used to parse the input expression.
-2453            copy (bool): if `False`, modify this expression instance in-place.
-2454            opts (kwargs): other options to use to parse the input expressions.
-2455
-2456        Returns:
-2457            Select: the modified expression.
-2458        """
-2459        return _apply_child_list_builder(
-2460            *expressions,
-2461            instance=self,
-2462            arg="order",
-2463            append=append,
-2464            copy=copy,
-2465            prefix="ORDER BY",
-2466            into=Order,
-2467            dialect=dialect,
-2468            **opts,
-2469        )
+            
    2498    def order_by(
+2499        self,
+2500        *expressions: t.Optional[ExpOrStr],
+2501        append: bool = True,
+2502        dialect: DialectType = None,
+2503        copy: bool = True,
+2504        **opts,
+2505    ) -> Select:
+2506        """
+2507        Set the ORDER BY expression.
+2508
+2509        Example:
+2510            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
+2511            'SELECT x FROM tbl ORDER BY x DESC'
+2512
+2513        Args:
+2514            *expressions: the SQL code strings to parse.
+2515                If a `Group` instance is passed, this is used as-is.
+2516                If another `Expression` instance is passed, it will be wrapped in a `Order`.
+2517            append: if `True`, add to any existing expressions.
+2518                Otherwise, this flattens all the `Order` expression into a single expression.
+2519            dialect: the dialect used to parse the input expression.
+2520            copy: if `False`, modify this expression instance in-place.
+2521            opts: other options to use to parse the input expressions.
+2522
+2523        Returns:
+2524            The modified Select expression.
+2525        """
+2526        return _apply_child_list_builder(
+2527            *expressions,
+2528            instance=self,
+2529            arg="order",
+2530            append=append,
+2531            copy=copy,
+2532            prefix="ORDER BY",
+2533            into=Order,
+2534            dialect=dialect,
+2535            **opts,
+2536        )
 
    
 
 
@@ -24394,20 +24847,20 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If a Group instance is passed, this is used as-is.
 If another Expression instance is passed, it will be wrapped in a Order.
      • 
-
    • append (bool):  if True, add to any existing expressions.
+
    • append:  if True, add to any existing expressions.
 Otherwise, this flattens all the Order expression into a single expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24418,44 +24871,51 @@ 
    Returns:
    
 
    
             
         def
-        sort_by(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        sort_by(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2471    def sort_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2472        """
-2473        Set the SORT BY expression.
-2474
-2475        Example:
-2476            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
-2477            'SELECT x FROM tbl SORT BY x DESC'
-2478
-2479        Args:
-2480            *expressions (str | Expression): the SQL code strings to parse.
-2481                If a `Group` instance is passed, this is used as-is.
-2482                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
-2483            append (bool): if `True`, add to any existing expressions.
-2484                Otherwise, this flattens all the `Order` expression into a single expression.
-2485            dialect (str): the dialect used to parse the input expression.
-2486            copy (bool): if `False`, modify this expression instance in-place.
-2487            opts (kwargs): other options to use to parse the input expressions.
-2488
-2489        Returns:
-2490            Select: the modified expression.
-2491        """
-2492        return _apply_child_list_builder(
-2493            *expressions,
-2494            instance=self,
-2495            arg="sort",
-2496            append=append,
-2497            copy=copy,
-2498            prefix="SORT BY",
-2499            into=Sort,
-2500            dialect=dialect,
-2501            **opts,
-2502        )
+            
    2538    def sort_by(
+2539        self,
+2540        *expressions: t.Optional[ExpOrStr],
+2541        append: bool = True,
+2542        dialect: DialectType = None,
+2543        copy: bool = True,
+2544        **opts,
+2545    ) -> Select:
+2546        """
+2547        Set the SORT BY expression.
+2548
+2549        Example:
+2550            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
+2551            'SELECT x FROM tbl SORT BY x DESC'
+2552
+2553        Args:
+2554            *expressions: the SQL code strings to parse.
+2555                If a `Group` instance is passed, this is used as-is.
+2556                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
+2557            append: if `True`, add to any existing expressions.
+2558                Otherwise, this flattens all the `Order` expression into a single expression.
+2559            dialect: the dialect used to parse the input expression.
+2560            copy: if `False`, modify this expression instance in-place.
+2561            opts: other options to use to parse the input expressions.
+2562
+2563        Returns:
+2564            The modified Select expression.
+2565        """
+2566        return _apply_child_list_builder(
+2567            *expressions,
+2568            instance=self,
+2569            arg="sort",
+2570            append=append,
+2571            copy=copy,
+2572            prefix="SORT BY",
+2573            into=Sort,
+2574            dialect=dialect,
+2575            **opts,
+2576        )
 
    
 
 
@@ -24474,20 +24934,20 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If a Group instance is passed, this is used as-is.
 If another Expression instance is passed, it will be wrapped in a SORT.
      • 
-
    • append (bool):  if True, add to any existing expressions.
+
    • append:  if True, add to any existing expressions.
 Otherwise, this flattens all the Order expression into a single expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24498,44 +24958,51 @@ 
    Returns:
    
 
    
             
         def
-        cluster_by(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        cluster_by(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2504    def cluster_by(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2505        """
-2506        Set the CLUSTER BY expression.
-2507
-2508        Example:
-2509            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
-2510            'SELECT x FROM tbl CLUSTER BY x DESC'
-2511
-2512        Args:
-2513            *expressions (str | Expression): the SQL code strings to parse.
-2514                If a `Group` instance is passed, this is used as-is.
-2515                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
-2516            append (bool): if `True`, add to any existing expressions.
-2517                Otherwise, this flattens all the `Order` expression into a single expression.
-2518            dialect (str): the dialect used to parse the input expression.
-2519            copy (bool): if `False`, modify this expression instance in-place.
-2520            opts (kwargs): other options to use to parse the input expressions.
-2521
-2522        Returns:
-2523            Select: the modified expression.
-2524        """
-2525        return _apply_child_list_builder(
-2526            *expressions,
-2527            instance=self,
-2528            arg="cluster",
-2529            append=append,
-2530            copy=copy,
-2531            prefix="CLUSTER BY",
-2532            into=Cluster,
-2533            dialect=dialect,
-2534            **opts,
-2535        )
+            
    2578    def cluster_by(
+2579        self,
+2580        *expressions: t.Optional[ExpOrStr],
+2581        append: bool = True,
+2582        dialect: DialectType = None,
+2583        copy: bool = True,
+2584        **opts,
+2585    ) -> Select:
+2586        """
+2587        Set the CLUSTER BY expression.
+2588
+2589        Example:
+2590            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
+2591            'SELECT x FROM tbl CLUSTER BY x DESC'
+2592
+2593        Args:
+2594            *expressions: the SQL code strings to parse.
+2595                If a `Group` instance is passed, this is used as-is.
+2596                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
+2597            append: if `True`, add to any existing expressions.
+2598                Otherwise, this flattens all the `Order` expression into a single expression.
+2599            dialect: the dialect used to parse the input expression.
+2600            copy: if `False`, modify this expression instance in-place.
+2601            opts: other options to use to parse the input expressions.
+2602
+2603        Returns:
+2604            The modified Select expression.
+2605        """
+2606        return _apply_child_list_builder(
+2607            *expressions,
+2608            instance=self,
+2609            arg="cluster",
+2610            append=append,
+2611            copy=copy,
+2612            prefix="CLUSTER BY",
+2613            into=Cluster,
+2614            dialect=dialect,
+2615            **opts,
+2616        )
 
    
 
 
@@ -24554,20 +25021,20 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If a Group instance is passed, this is used as-is.
 If another Expression instance is passed, it will be wrapped in a Cluster.
      • 
-
    • append (bool):  if True, add to any existing expressions.
+
    • append:  if True, add to any existing expressions.
 Otherwise, this flattens all the Order expression into a single expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24578,42 +25045,44 @@ 
    Returns:
    
 
    
             
         def
-        limit(	self,	expression,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        limit(	self,	expression: Union[str, sqlglot.expressions.Expression, int],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2537    def limit(self, expression, dialect=None, copy=True, **opts) -> Select:
-2538        """
-2539        Set the LIMIT expression.
-2540
-2541        Example:
-2542            >>> Select().from_("tbl").select("x").limit(10).sql()
-2543            'SELECT x FROM tbl LIMIT 10'
-2544
-2545        Args:
-2546            expression (str | int | Expression): the SQL code string to parse.
-2547                This can also be an integer.
-2548                If a `Limit` instance is passed, this is used as-is.
-2549                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2550            dialect (str): the dialect used to parse the input expression.
-2551            copy (bool): if `False`, modify this expression instance in-place.
-2552            opts (kwargs): other options to use to parse the input expressions.
-2553
-2554        Returns:
-2555            Select: the modified expression.
-2556        """
-2557        return _apply_builder(
-2558            expression=expression,
-2559            instance=self,
-2560            arg="limit",
-2561            into=Limit,
-2562            prefix="LIMIT",
-2563            dialect=dialect,
-2564            copy=copy,
-2565            **opts,
-2566        )
+            
    2618    def limit(
+2619        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2620    ) -> Select:
+2621        """
+2622        Set the LIMIT expression.
+2623
+2624        Example:
+2625            >>> Select().from_("tbl").select("x").limit(10).sql()
+2626            'SELECT x FROM tbl LIMIT 10'
+2627
+2628        Args:
+2629            expression: the SQL code string to parse.
+2630                This can also be an integer.
+2631                If a `Limit` instance is passed, this is used as-is.
+2632                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2633            dialect: the dialect used to parse the input expression.
+2634            copy: if `False`, modify this expression instance in-place.
+2635            opts: other options to use to parse the input expressions.
+2636
+2637        Returns:
+2638            Select: the modified expression.
+2639        """
+2640        return _apply_builder(
+2641            expression=expression,
+2642            instance=self,
+2643            arg="limit",
+2644            into=Limit,
+2645            prefix="LIMIT",
+2646            dialect=dialect,
+2647            copy=copy,
+2648            **opts,
+2649        )
 
    
 
 
@@ -24632,13 +25101,13 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | int | Expression):  the SQL code string to parse.
+
    • expression:  the SQL code string to parse.
 This can also be an integer.
 If a Limit instance is passed, this is used as-is.
 If another Expression instance is passed, it will be wrapped in a Limit.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
@@ -24655,42 +25124,44 @@ 
    Returns:
    
 
    
             
         def
-        offset(	self,	expression,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        offset(	self,	expression: Union[str, sqlglot.expressions.Expression, int],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2568    def offset(self, expression, dialect=None, copy=True, **opts) -> Select:
-2569        """
-2570        Set the OFFSET expression.
-2571
-2572        Example:
-2573            >>> Select().from_("tbl").select("x").offset(10).sql()
-2574            'SELECT x FROM tbl OFFSET 10'
-2575
-2576        Args:
-2577            expression (str | int | Expression): the SQL code string to parse.
-2578                This can also be an integer.
-2579                If a `Offset` instance is passed, this is used as-is.
-2580                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
-2581            dialect (str): the dialect used to parse the input expression.
-2582            copy (bool): if `False`, modify this expression instance in-place.
-2583            opts (kwargs): other options to use to parse the input expressions.
-2584
-2585        Returns:
-2586            Select: the modified expression.
-2587        """
-2588        return _apply_builder(
-2589            expression=expression,
-2590            instance=self,
-2591            arg="offset",
-2592            into=Offset,
-2593            prefix="OFFSET",
-2594            dialect=dialect,
-2595            copy=copy,
-2596            **opts,
-2597        )
+            
    2651    def offset(
+2652        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2653    ) -> Select:
+2654        """
+2655        Set the OFFSET expression.
+2656
+2657        Example:
+2658            >>> Select().from_("tbl").select("x").offset(10).sql()
+2659            'SELECT x FROM tbl OFFSET 10'
+2660
+2661        Args:
+2662            expression: the SQL code string to parse.
+2663                This can also be an integer.
+2664                If a `Offset` instance is passed, this is used as-is.
+2665                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
+2666            dialect: the dialect used to parse the input expression.
+2667            copy: if `False`, modify this expression instance in-place.
+2668            opts: other options to use to parse the input expressions.
+2669
+2670        Returns:
+2671            The modified Select expression.
+2672        """
+2673        return _apply_builder(
+2674            expression=expression,
+2675            instance=self,
+2676            arg="offset",
+2677            into=Offset,
+2678            prefix="OFFSET",
+2679            dialect=dialect,
+2680            copy=copy,
+2681            **opts,
+2682        )
 
    
 
 
@@ -24709,19 +25180,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | int | Expression):  the SQL code string to parse.
+
    • expression:  the SQL code string to parse.
 This can also be an integer.
 If a Offset instance is passed, this is used as-is.
 If another Expression instance is passed, it will be wrapped in a Offset.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24732,48 +25203,48 @@ 
    Returns:
    
 
    
             
         def
-        select(	self,	*expressions: Union[str, sqlglot.expressions.Expression],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
+        select(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2599    def select(
-2600        self,
-2601        *expressions: ExpOrStr,
-2602        append: bool = True,
-2603        dialect: DialectType = None,
-2604        copy: bool = True,
-2605        **opts,
-2606    ) -> Select:
-2607        """
-2608        Append to or set the SELECT expressions.
-2609
-2610        Example:
-2611            >>> Select().select("x", "y").sql()
-2612            'SELECT x, y'
-2613
-2614        Args:
-2615            *expressions: the SQL code strings to parse.
-2616                If an `Expression` instance is passed, it will be used as-is.
-2617            append: if `True`, add to any existing expressions.
-2618                Otherwise, this resets the expressions.
-2619            dialect: the dialect used to parse the input expressions.
-2620            copy: if `False`, modify this expression instance in-place.
-2621            opts: other options to use to parse the input expressions.
-2622
-2623        Returns:
-2624            Select: the modified expression.
-2625        """
-2626        return _apply_list_builder(
-2627            *expressions,
-2628            instance=self,
-2629            arg="expressions",
-2630            append=append,
-2631            dialect=dialect,
-2632            copy=copy,
-2633            **opts,
-2634        )
+            
    2684    def select(
+2685        self,
+2686        *expressions: t.Optional[ExpOrStr],
+2687        append: bool = True,
+2688        dialect: DialectType = None,
+2689        copy: bool = True,
+2690        **opts,
+2691    ) -> Select:
+2692        """
+2693        Append to or set the SELECT expressions.
+2694
+2695        Example:
+2696            >>> Select().select("x", "y").sql()
+2697            'SELECT x, y'
+2698
+2699        Args:
+2700            *expressions: the SQL code strings to parse.
+2701                If an `Expression` instance is passed, it will be used as-is.
+2702            append: if `True`, add to any existing expressions.
+2703                Otherwise, this resets the expressions.
+2704            dialect: the dialect used to parse the input expressions.
+2705            copy: if `False`, modify this expression instance in-place.
+2706            opts: other options to use to parse the input expressions.
+2707
+2708        Returns:
+2709            The modified Select expression.
+2710        """
+2711        return _apply_list_builder(
+2712            *expressions,
+2713            instance=self,
+2714            arg="expressions",
+2715            append=append,
+2716            dialect=dialect,
+2717            copy=copy,
+2718            **opts,
+2719        )
 
    
 
 
@@ -24804,7 +25275,7 @@ 
    Arguments:
    
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24815,43 +25286,50 @@ 
    Returns:
    
 
    
             
         def
-        lateral(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        lateral(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2636    def lateral(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2637        """
-2638        Append to or set the LATERAL expressions.
-2639
-2640        Example:
-2641            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
-2642            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
-2643
-2644        Args:
-2645            *expressions (str | Expression): the SQL code strings to parse.
-2646                If an `Expression` instance is passed, it will be used as-is.
-2647            append (bool): if `True`, add to any existing expressions.
-2648                Otherwise, this resets the expressions.
-2649            dialect (str): the dialect used to parse the input expressions.
-2650            copy (bool): if `False`, modify this expression instance in-place.
-2651            opts (kwargs): other options to use to parse the input expressions.
-2652
-2653        Returns:
-2654            Select: the modified expression.
-2655        """
-2656        return _apply_list_builder(
-2657            *expressions,
-2658            instance=self,
-2659            arg="laterals",
-2660            append=append,
-2661            into=Lateral,
-2662            prefix="LATERAL VIEW",
-2663            dialect=dialect,
-2664            copy=copy,
-2665            **opts,
-2666        )
+            
    2721    def lateral(
+2722        self,
+2723        *expressions: t.Optional[ExpOrStr],
+2724        append: bool = True,
+2725        dialect: DialectType = None,
+2726        copy: bool = True,
+2727        **opts,
+2728    ) -> Select:
+2729        """
+2730        Append to or set the LATERAL expressions.
+2731
+2732        Example:
+2733            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
+2734            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
+2735
+2736        Args:
+2737            *expressions: the SQL code strings to parse.
+2738                If an `Expression` instance is passed, it will be used as-is.
+2739            append: if `True`, add to any existing expressions.
+2740                Otherwise, this resets the expressions.
+2741            dialect: the dialect used to parse the input expressions.
+2742            copy: if `False`, modify this expression instance in-place.
+2743            opts: other options to use to parse the input expressions.
+2744
+2745        Returns:
+2746            The modified Select expression.
+2747        """
+2748        return _apply_list_builder(
+2749            *expressions,
+2750            instance=self,
+2751            arg="laterals",
+2752            append=append,
+2753            into=Lateral,
+2754            prefix="LATERAL VIEW",
+2755            dialect=dialect,
+2756            copy=copy,
+2757            **opts,
+2758        )
 
    
 
 
@@ -24870,19 +25348,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • append (bool):  if True, add to any existing expressions.
+
    • append:  if True, add to any existing expressions.
 Otherwise, this resets the expressions.
      • 
-
    • dialect (str):  the dialect used to parse the input expressions.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expressions.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -24893,106 +25371,108 @@ 
    Returns:
    
 
    
             
         def
-        join(	self,	expression,	on=None,	using=None,	append=True,	join_type=None,	join_alias=None,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        join(	self,	expression: Union[str, sqlglot.expressions.Expression],	on: Union[str, sqlglot.expressions.Expression, NoneType] = None,	using: Union[str, sqlglot.expressions.Expression, List[Union[str, sqlglot.expressions.Expression]], NoneType] = None,	append: bool = True,	join_type: Optional[str] = None,	join_alias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2668    def join(
-2669        self,
-2670        expression,
-2671        on=None,
-2672        using=None,
-2673        append=True,
-2674        join_type=None,
-2675        join_alias=None,
-2676        dialect=None,
-2677        copy=True,
-2678        **opts,
-2679    ) -> Select:
-2680        """
-2681        Append to or set the JOIN expressions.
-2682
-2683        Example:
-2684            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
-2685            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
-2686
-2687            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
-2688            'SELECT 1 FROM a JOIN b USING (x, y, z)'
-2689
-2690            Use `join_type` to change the type of join:
-2691
-2692            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
-2693            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
-2694
-2695        Args:
-2696            expression (str | Expression): the SQL code string to parse.
-2697                If an `Expression` instance is passed, it will be used as-is.
-2698            on (str | Expression): optionally specify the join "on" criteria as a SQL string.
-2699                If an `Expression` instance is passed, it will be used as-is.
-2700            using (str | Expression): optionally specify the join "using" criteria as a SQL string.
-2701                If an `Expression` instance is passed, it will be used as-is.
-2702            append (bool): if `True`, add to any existing expressions.
-2703                Otherwise, this resets the expressions.
-2704            join_type (str): If set, alter the parsed join type
-2705            dialect (str): the dialect used to parse the input expressions.
-2706            copy (bool): if `False`, modify this expression instance in-place.
-2707            opts (kwargs): other options to use to parse the input expressions.
-2708
-2709        Returns:
-2710            Select: the modified expression.
-2711        """
-2712        parse_args = {"dialect": dialect, **opts}
-2713
-2714        try:
-2715            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
-2716        except ParseError:
-2717            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
-2718
-2719        join = expression if isinstance(expression, Join) else Join(this=expression)
-2720
-2721        if isinstance(join.this, Select):
-2722            join.this.replace(join.this.subquery())
-2723
-2724        if join_type:
-2725            natural: t.Optional[Token]
-2726            side: t.Optional[Token]
-2727            kind: t.Optional[Token]
-2728
-2729            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
-2730
-2731            if natural:
-2732                join.set("natural", True)
-2733            if side:
-2734                join.set("side", side.text)
-2735            if kind:
-2736                join.set("kind", kind.text)
-2737
-2738        if on:
-2739            on = and_(*ensure_collection(on), dialect=dialect, copy=copy, **opts)
-2740            join.set("on", on)
-2741
-2742        if using:
-2743            join = _apply_list_builder(
-2744                *ensure_collection(using),
-2745                instance=join,
-2746                arg="using",
-2747                append=append,
-2748                copy=copy,
-2749                **opts,
-2750            )
-2751
-2752        if join_alias:
-2753            join.set("this", alias_(join.this, join_alias, table=True))
-2754        return _apply_list_builder(
-2755            join,
-2756            instance=self,
-2757            arg="joins",
-2758            append=append,
-2759            copy=copy,
-2760            **opts,
-2761        )
+            
    2760    def join(
+2761        self,
+2762        expression: ExpOrStr,
+2763        on: t.Optional[ExpOrStr] = None,
+2764        using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None,
+2765        append: bool = True,
+2766        join_type: t.Optional[str] = None,
+2767        join_alias: t.Optional[Identifier | str] = None,
+2768        dialect: DialectType = None,
+2769        copy: bool = True,
+2770        **opts,
+2771    ) -> Select:
+2772        """
+2773        Append to or set the JOIN expressions.
+2774
+2775        Example:
+2776            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
+2777            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
+2778
+2779            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
+2780            'SELECT 1 FROM a JOIN b USING (x, y, z)'
+2781
+2782            Use `join_type` to change the type of join:
+2783
+2784            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
+2785            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
+2786
+2787        Args:
+2788            expression: the SQL code string to parse.
+2789                If an `Expression` instance is passed, it will be used as-is.
+2790            on: optionally specify the join "on" criteria as a SQL string.
+2791                If an `Expression` instance is passed, it will be used as-is.
+2792            using: optionally specify the join "using" criteria as a SQL string.
+2793                If an `Expression` instance is passed, it will be used as-is.
+2794            append: if `True`, add to any existing expressions.
+2795                Otherwise, this resets the expressions.
+2796            join_type: if set, alter the parsed join type.
+2797            join_alias: an optional alias for the joined source.
+2798            dialect: the dialect used to parse the input expressions.
+2799            copy: if `False`, modify this expression instance in-place.
+2800            opts: other options to use to parse the input expressions.
+2801
+2802        Returns:
+2803            Select: the modified expression.
+2804        """
+2805        parse_args = {"dialect": dialect, **opts}
+2806
+2807        try:
+2808            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)  # type: ignore
+2809        except ParseError:
+2810            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)  # type: ignore
+2811
+2812        join = expression if isinstance(expression, Join) else Join(this=expression)
+2813
+2814        if isinstance(join.this, Select):
+2815            join.this.replace(join.this.subquery())
+2816
+2817        if join_type:
+2818            natural: t.Optional[Token]
+2819            side: t.Optional[Token]
+2820            kind: t.Optional[Token]
+2821
+2822            natural, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
+2823
+2824            if natural:
+2825                join.set("natural", True)
+2826            if side:
+2827                join.set("side", side.text)
+2828            if kind:
+2829                join.set("kind", kind.text)
+2830
+2831        if on:
+2832            on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts)
+2833            join.set("on", on)
+2834
+2835        if using:
+2836            join = _apply_list_builder(
+2837                *ensure_list(using),
+2838                instance=join,
+2839                arg="using",
+2840                append=append,
+2841                copy=copy,
+2842                **opts,
+2843            )
+2844
+2845        if join_alias:
+2846            join.set("this", alias_(join.this, join_alias, table=True))
+2847
+2848        return _apply_list_builder(
+2849            join,
+2850            instance=self,
+2851            arg="joins",
+2852            append=append,
+2853            copy=copy,
+2854            **opts,
+2855        )
 
    
 
 
@@ -25025,18 +25505,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | Expression):  the SQL code string to parse.
+
    • expression:  the SQL code string to parse.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • on (str | Expression):  optionally specify the join "on" criteria as a SQL string.
+
    • on:  optionally specify the join "on" criteria as a SQL string.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • using (str | Expression):  optionally specify the join "using" criteria as a SQL string.
+
    • using:  optionally specify the join "using" criteria as a SQL string.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • append (bool):  if True, add to any existing expressions.
+
    • append:  if True, add to any existing expressions.
 Otherwise, this resets the expressions.
      • 
-
    • join_type (str):  If set, alter the parsed join type
      • 
-
    • dialect (str):  the dialect used to parse the input expressions.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • join_type:  if set, alter the parsed join type.
      • 
+
    • join_alias:  an optional alias for the joined source.
      • 
+
    • dialect:  the dialect used to parse the input expressions.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
@@ -25053,43 +25534,50 @@ 
    Returns:
    
 
    
             
         def
-        where(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        where(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2763    def where(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2764        """
-2765        Append to or set the WHERE expressions.
-2766
-2767        Example:
-2768            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
-2769            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
-2770
-2771        Args:
-2772            *expressions (str | Expression): the SQL code strings to parse.
-2773                If an `Expression` instance is passed, it will be used as-is.
-2774                Multiple expressions are combined with an AND operator.
-2775            append (bool): if `True`, AND the new expressions to any existing expression.
-2776                Otherwise, this resets the expression.
-2777            dialect (str): the dialect used to parse the input expressions.
-2778            copy (bool): if `False`, modify this expression instance in-place.
-2779            opts (kwargs): other options to use to parse the input expressions.
-2780
-2781        Returns:
-2782            Select: the modified expression.
-2783        """
-2784        return _apply_conjunction_builder(
-2785            *expressions,
-2786            instance=self,
-2787            arg="where",
-2788            append=append,
-2789            into=Where,
-2790            dialect=dialect,
-2791            copy=copy,
-2792            **opts,
-2793        )
+            
    2857    def where(
+2858        self,
+2859        *expressions: t.Optional[ExpOrStr],
+2860        append: bool = True,
+2861        dialect: DialectType = None,
+2862        copy: bool = True,
+2863        **opts,
+2864    ) -> Select:
+2865        """
+2866        Append to or set the WHERE expressions.
+2867
+2868        Example:
+2869            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
+2870            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
+2871
+2872        Args:
+2873            *expressions: the SQL code strings to parse.
+2874                If an `Expression` instance is passed, it will be used as-is.
+2875                Multiple expressions are combined with an AND operator.
+2876            append: if `True`, AND the new expressions to any existing expression.
+2877                Otherwise, this resets the expression.
+2878            dialect: the dialect used to parse the input expressions.
+2879            copy: if `False`, modify this expression instance in-place.
+2880            opts: other options to use to parse the input expressions.
+2881
+2882        Returns:
+2883            Select: the modified expression.
+2884        """
+2885        return _apply_conjunction_builder(
+2886            *expressions,
+2887            instance=self,
+2888            arg="where",
+2889            append=append,
+2890            into=Where,
+2891            dialect=dialect,
+2892            copy=copy,
+2893            **opts,
+2894        )
 
    
 
 
@@ -25108,14 +25596,14 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, it will be used as-is.
 Multiple expressions are combined with an AND operator.
      • 
-
    • append (bool):  if True, AND the new expressions to any existing expression.
+
    • append:  if True, AND the new expressions to any existing expression.
 Otherwise, this resets the expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expressions.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expressions.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
@@ -25132,43 +25620,50 @@ 
    Returns:
    
 
    
             
         def
-        having(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        having(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2795    def having(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2796        """
-2797        Append to or set the HAVING expressions.
-2798
-2799        Example:
-2800            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
-2801            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
-2802
-2803        Args:
-2804            *expressions (str | Expression): the SQL code strings to parse.
-2805                If an `Expression` instance is passed, it will be used as-is.
-2806                Multiple expressions are combined with an AND operator.
-2807            append (bool): if `True`, AND the new expressions to any existing expression.
-2808                Otherwise, this resets the expression.
-2809            dialect (str): the dialect used to parse the input expressions.
-2810            copy (bool): if `False`, modify this expression instance in-place.
-2811            opts (kwargs): other options to use to parse the input expressions.
-2812
-2813        Returns:
-2814            Select: the modified expression.
-2815        """
-2816        return _apply_conjunction_builder(
-2817            *expressions,
-2818            instance=self,
-2819            arg="having",
-2820            append=append,
-2821            into=Having,
-2822            dialect=dialect,
-2823            copy=copy,
-2824            **opts,
-2825        )
+            
    2896    def having(
+2897        self,
+2898        *expressions: t.Optional[ExpOrStr],
+2899        append: bool = True,
+2900        dialect: DialectType = None,
+2901        copy: bool = True,
+2902        **opts,
+2903    ) -> Select:
+2904        """
+2905        Append to or set the HAVING expressions.
+2906
+2907        Example:
+2908            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
+2909            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
+2910
+2911        Args:
+2912            *expressions: the SQL code strings to parse.
+2913                If an `Expression` instance is passed, it will be used as-is.
+2914                Multiple expressions are combined with an AND operator.
+2915            append: if `True`, AND the new expressions to any existing expression.
+2916                Otherwise, this resets the expression.
+2917            dialect: the dialect used to parse the input expressions.
+2918            copy: if `False`, modify this expression instance in-place.
+2919            opts: other options to use to parse the input expressions.
+2920
+2921        Returns:
+2922            The modified Select expression.
+2923        """
+2924        return _apply_conjunction_builder(
+2925            *expressions,
+2926            instance=self,
+2927            arg="having",
+2928            append=append,
+2929            into=Having,
+2930            dialect=dialect,
+2931            copy=copy,
+2932            **opts,
+2933        )
 
    
 
 
@@ -25187,20 +25682,20 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, it will be used as-is.
 Multiple expressions are combined with an AND operator.
      • 
-
    • append (bool):  if True, AND the new expressions to any existing expression.
+
    • append:  if True, AND the new expressions to any existing expression.
 Otherwise, this resets the expression.
      • 
-
    • dialect (str):  the dialect used to parse the input expressions.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • dialect:  the dialect used to parse the input expressions.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: the modified expression.
    
+  
    The modified Select expression.
    
 
    
 
    
 
@@ -25211,23 +25706,30 @@ 
    Returns:
    
 
    
             
         def
-        window(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        window(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2827    def window(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2828        return _apply_list_builder(
-2829            *expressions,
-2830            instance=self,
-2831            arg="windows",
-2832            append=append,
-2833            into=Window,
-2834            dialect=dialect,
-2835            copy=copy,
-2836            **opts,
-2837        )
+            
    2935    def window(
+2936        self,
+2937        *expressions: t.Optional[ExpOrStr],
+2938        append: bool = True,
+2939        dialect: DialectType = None,
+2940        copy: bool = True,
+2941        **opts,
+2942    ) -> Select:
+2943        return _apply_list_builder(
+2944            *expressions,
+2945            instance=self,
+2946            arg="windows",
+2947            append=append,
+2948            into=Window,
+2949            dialect=dialect,
+2950            copy=copy,
+2951            **opts,
+2952        )
 
    
 
 
@@ -25239,23 +25741,30 @@ 
    Returns:
    
 
    
             
         def
-        qualify(	self,	*expressions,	append=True,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Select:
+        qualify(	self,	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	append: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2839    def qualify(self, *expressions, append=True, dialect=None, copy=True, **opts) -> Select:
-2840        return _apply_conjunction_builder(
-2841            *expressions,
-2842            instance=self,
-2843            arg="qualify",
-2844            append=append,
-2845            into=Qualify,
-2846            dialect=dialect,
-2847            copy=copy,
-2848            **opts,
-2849        )
+            
    2954    def qualify(
+2955        self,
+2956        *expressions: t.Optional[ExpOrStr],
+2957        append: bool = True,
+2958        dialect: DialectType = None,
+2959        copy: bool = True,
+2960        **opts,
+2961    ) -> Select:
+2962        return _apply_conjunction_builder(
+2963            *expressions,
+2964            instance=self,
+2965            arg="qualify",
+2966            append=append,
+2967            into=Qualify,
+2968            dialect=dialect,
+2969            copy=copy,
+2970            **opts,
+2971        )
 
    
 
 
@@ -25267,32 +25776,34 @@ 
    Returns:
    
 
    
             
         def
-        distinct(	self,	*ons: Union[str, sqlglot.expressions.Expression],	distinct: bool = True,	copy: bool = True) -> sqlglot.expressions.Select:
+        distinct(	self,	*ons: Union[str, sqlglot.expressions.Expression, NoneType],	distinct: bool = True,	copy: bool = True) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    2851    def distinct(self, *ons: ExpOrStr, distinct: bool = True, copy: bool = True) -> Select:
-2852        """
-2853        Set the OFFSET expression.
-2854
-2855        Example:
-2856            >>> Select().from_("tbl").select("x").distinct().sql()
-2857            'SELECT DISTINCT x FROM tbl'
-2858
-2859        Args:
-2860            ons: the expressions to distinct on
-2861            distinct: whether the Select should be distinct
-2862            copy: if `False`, modify this expression instance in-place.
-2863
-2864        Returns:
-2865            Select: the modified expression.
-2866        """
-2867        instance = _maybe_copy(self, copy)
-2868        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons]) if ons else None
-2869        instance.set("distinct", Distinct(on=on) if distinct else None)
-2870        return instance
+            
    2973    def distinct(
+2974        self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True
+2975    ) -> Select:
+2976        """
+2977        Set the OFFSET expression.
+2978
+2979        Example:
+2980            >>> Select().from_("tbl").select("x").distinct().sql()
+2981            'SELECT DISTINCT x FROM tbl'
+2982
+2983        Args:
+2984            ons: the expressions to distinct on
+2985            distinct: whether the Select should be distinct
+2986            copy: if `False`, modify this expression instance in-place.
+2987
+2988        Returns:
+2989            Select: the modified expression.
+2990        """
+2991        instance = _maybe_copy(self, copy)
+2992        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None
+2993        instance.set("distinct", Distinct(on=on) if distinct else None)
+2994        return instance
 
    
 
 
@@ -25330,48 +25841,55 @@ 
    Returns:
    
 
    
             
         def
-        ctas(	self,	table,	properties=None,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Create:
+        ctas(	self,	table: Union[str, sqlglot.expressions.Expression],	properties: Optional[Dict] = None,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Create:
 
                 
 
     
    
     
-            
    2872    def ctas(self, table, properties=None, dialect=None, copy=True, **opts) -> Create:
-2873        """
-2874        Convert this expression to a CREATE TABLE AS statement.
-2875
-2876        Example:
-2877            >>> Select().select("*").from_("tbl").ctas("x").sql()
-2878            'CREATE TABLE x AS SELECT * FROM tbl'
-2879
-2880        Args:
-2881            table (str | Expression): the SQL code string to parse as the table name.
-2882                If another `Expression` instance is passed, it will be used as-is.
-2883            properties (dict): an optional mapping of table properties
-2884            dialect (str): the dialect used to parse the input table.
-2885            copy (bool): if `False`, modify this expression instance in-place.
-2886            opts (kwargs): other options to use to parse the input table.
-2887
-2888        Returns:
-2889            Create: the CREATE TABLE AS expression
-2890        """
-2891        instance = _maybe_copy(self, copy)
-2892        table_expression = maybe_parse(
-2893            table,
-2894            into=Table,
-2895            dialect=dialect,
-2896            **opts,
-2897        )
-2898        properties_expression = None
-2899        if properties:
-2900            properties_expression = Properties.from_dict(properties)
-2901
-2902        return Create(
-2903            this=table_expression,
-2904            kind="table",
-2905            expression=instance,
-2906            properties=properties_expression,
-2907        )
+            
    2996    def ctas(
+2997        self,
+2998        table: ExpOrStr,
+2999        properties: t.Optional[t.Dict] = None,
+3000        dialect: DialectType = None,
+3001        copy: bool = True,
+3002        **opts,
+3003    ) -> Create:
+3004        """
+3005        Convert this expression to a CREATE TABLE AS statement.
+3006
+3007        Example:
+3008            >>> Select().select("*").from_("tbl").ctas("x").sql()
+3009            'CREATE TABLE x AS SELECT * FROM tbl'
+3010
+3011        Args:
+3012            table: the SQL code string to parse as the table name.
+3013                If another `Expression` instance is passed, it will be used as-is.
+3014            properties: an optional mapping of table properties
+3015            dialect: the dialect used to parse the input table.
+3016            copy: if `False`, modify this expression instance in-place.
+3017            opts: other options to use to parse the input table.
+3018
+3019        Returns:
+3020            The new Create expression.
+3021        """
+3022        instance = _maybe_copy(self, copy)
+3023        table_expression = maybe_parse(
+3024            table,
+3025            into=Table,
+3026            dialect=dialect,
+3027            **opts,
+3028        )
+3029        properties_expression = None
+3030        if properties:
+3031            properties_expression = Properties.from_dict(properties)
+3032
+3033        return Create(
+3034            this=table_expression,
+3035            kind="table",
+3036            expression=instance,
+3037            properties=properties_expression,
+3038        )
 
    
 
 
@@ -25390,18 +25908,18 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • table (str | Expression):  the SQL code string to parse as the table name.
+
    • table:  the SQL code string to parse as the table name.
 If another Expression instance is passed, it will be used as-is.
      • 
-
    • properties (dict):  an optional mapping of table properties
      • 
-
    • dialect (str):  the dialect used to parse the input table.
      • 
-
    • copy (bool):  if False, modify this expression instance in-place.
      • 
-
    • opts (kwargs):  other options to use to parse the input table.
      • 
+
    • properties:  an optional mapping of table properties
      • 
+
    • dialect:  the dialect used to parse the input table.
      • 
+
    • copy:  if False, modify this expression instance in-place.
      • 
+
    • opts:  other options to use to parse the input table.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Create: the CREATE TABLE AS expression
    
+  
    The new Create expression.
    
 
    
 
    
 
@@ -25418,29 +25936,29 @@ 
    Returns:
    
 
     
    
     
-            
    2909    def lock(self, update: bool = True, copy: bool = True) -> Select:
-2910        """
-2911        Set the locking read mode for this expression.
-2912
-2913        Examples:
-2914            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
-2915            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
-2916
-2917            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
-2918            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
-2919
-2920        Args:
-2921            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
-2922            copy: if `False`, modify this expression instance in-place.
-2923
-2924        Returns:
-2925            The modified expression.
-2926        """
-2927
-2928        inst = _maybe_copy(self, copy)
-2929        inst.set("locks", [Lock(update=update)])
-2930
-2931        return inst
+            
    3040    def lock(self, update: bool = True, copy: bool = True) -> Select:
+3041        """
+3042        Set the locking read mode for this expression.
+3043
+3044        Examples:
+3045            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
+3046            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
+3047
+3048            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
+3049            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
+3050
+3051        Args:
+3052            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
+3053            copy: if `False`, modify this expression instance in-place.
+3054
+3055        Returns:
+3056            The modified expression.
+3057        """
+3058
+3059        inst = _maybe_copy(self, copy)
+3060        inst.set("locks", [Lock(update=update)])
+3061
+3062        return inst
 
    
 
 
@@ -25559,30 +26077,30 @@ 
    Inherited Members
    
 
     
    
     
-            
    2946class Subquery(DerivedTable, Unionable):
-2947    arg_types = {
-2948        "this": True,
-2949        "alias": False,
-2950        "with": False,
-2951        **QUERY_MODIFIERS,
-2952    }
-2953
-2954    def unnest(self):
-2955        """
-2956        Returns the first non subquery.
-2957        """
-2958        expression = self
-2959        while isinstance(expression, Subquery):
-2960            expression = expression.this
-2961        return expression
-2962
-2963    @property
-2964    def is_star(self) -> bool:
-2965        return self.this.is_star
-2966
-2967    @property
-2968    def output_name(self):
-2969        return self.alias
+            
    3077class Subquery(DerivedTable, Unionable):
+3078    arg_types = {
+3079        "this": True,
+3080        "alias": False,
+3081        "with": False,
+3082        **QUERY_MODIFIERS,
+3083    }
+3084
+3085    def unnest(self):
+3086        """
+3087        Returns the first non subquery.
+3088        """
+3089        expression = self
+3090        while isinstance(expression, Subquery):
+3091            expression = expression.this
+3092        return expression
+3093
+3094    @property
+3095    def is_star(self) -> bool:
+3096        return self.this.is_star
+3097
+3098    @property
+3099    def output_name(self) -> str:
+3100        return self.alias
 
    
 
 
@@ -25599,14 +26117,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    2954    def unnest(self):
-2955        """
-2956        Returns the first non subquery.
-2957        """
-2958        expression = self
-2959        while isinstance(expression, Subquery):
-2960            expression = expression.this
-2961        return expression
+            
    3085    def unnest(self):
+3086        """
+3087        Returns the first non subquery.
+3088        """
+3089        expression = self
+3090        while isinstance(expression, Subquery):
+3091            expression = expression.this
+3092        return expression
 
    
 
 
@@ -25630,7 +26148,7 @@ 
    Inherited Members
    
                             
    
                             
    
                                 
    
-            output_name
+            output_name: str
 
         
     
    
@@ -25719,19 +26237,19 @@ 
    Inherited Members
    
 
     
    
     
-            
    2972class TableSample(Expression):
-2973    arg_types = {
-2974        "this": False,
-2975        "method": False,
-2976        "bucket_numerator": False,
-2977        "bucket_denominator": False,
-2978        "bucket_field": False,
-2979        "percent": False,
-2980        "rows": False,
-2981        "size": False,
-2982        "seed": False,
-2983        "kind": False,
-2984    }
+            
    3103class TableSample(Expression):
+3104    arg_types = {
+3105        "this": False,
+3106        "method": False,
+3107        "bucket_numerator": False,
+3108        "bucket_denominator": False,
+3109        "bucket_field": False,
+3110        "percent": False,
+3111        "rows": False,
+3112        "size": False,
+3113        "seed": False,
+3114        "kind": False,
+3115    }
 
    
 
 
@@ -25795,14 +26313,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    2987class Tag(Expression):
-2988    """Tags are used for generating arbitrary sql like SELECT <span>x</span>."""
-2989
-2990    arg_types = {
-2991        "this": False,
-2992        "prefix": False,
-2993        "postfix": False,
-2994    }
+            
    3118class Tag(Expression):
+3119    """Tags are used for generating arbitrary sql like SELECT <span>x</span>."""
+3120
+3121    arg_types = {
+3122        "this": False,
+3123        "prefix": False,
+3124        "postfix": False,
+3125    }
 
    
 
 
@@ -25868,14 +26386,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    2997class Pivot(Expression):
-2998    arg_types = {
-2999        "alias": False,
-3000        "expressions": True,
-3001        "field": True,
-3002        "unpivot": True,
-3003        "columns": False,
-3004    }
+            
    3128class Pivot(Expression):
+3129    arg_types = {
+3130        "alias": False,
+3131        "expressions": True,
+3132        "field": True,
+3133        "unpivot": True,
+3134        "columns": False,
+3135    }
 
    
 
 
@@ -25939,16 +26457,16 @@ 
    Inherited Members
    
 
     
    
     
-            
    3007class Window(Expression):
-3008    arg_types = {
-3009        "this": True,
-3010        "partition_by": False,
-3011        "order": False,
-3012        "spec": False,
-3013        "alias": False,
-3014        "over": False,
-3015        "first": False,
-3016    }
+            
    3138class Window(Expression):
+3139    arg_types = {
+3140        "this": True,
+3141        "partition_by": False,
+3142        "order": False,
+3143        "spec": False,
+3144        "alias": False,
+3145        "over": False,
+3146        "first": False,
+3147    }
 
    
 
 
@@ -26012,14 +26530,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    3019class WindowSpec(Expression):
-3020    arg_types = {
-3021        "kind": False,
-3022        "start": False,
-3023        "start_side": False,
-3024        "end": False,
-3025        "end_side": False,
-3026    }
+            
    3150class WindowSpec(Expression):
+3151    arg_types = {
+3152        "kind": False,
+3153        "start": False,
+3154        "start_side": False,
+3155        "end": False,
+3156        "end_side": False,
+3157    }
 
    
 
 
@@ -26083,8 +26601,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3029class Where(Expression):
-3030    pass
+            
    3160class Where(Expression):
+3161    pass
 
    
 
 
@@ -26148,16 +26666,16 @@ 
    Inherited Members
    
 
     
    
     
-            
    3033class Star(Expression):
-3034    arg_types = {"except": False, "replace": False}
-3035
-3036    @property
-3037    def name(self) -> str:
-3038        return "*"
-3039
-3040    @property
-3041    def output_name(self):
-3042        return self.name
+            
    3164class Star(Expression):
+3165    arg_types = {"except": False, "replace": False}
+3166
+3167    @property
+3168    def name(self) -> str:
+3169        return "*"
+3170
+3171    @property
+3172    def output_name(self) -> str:
+3173        return self.name
 
    
 
 
@@ -26165,7 +26683,7 @@ 
    Inherited Members
    
 
                             
    
                                 
    
-            output_name
+            output_name: str
 
         
     
    
@@ -26250,8 +26768,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3045class Parameter(Expression):
-3046    arg_types = {"this": True, "wrapped": False}
+            
    3176class Parameter(Expression):
+3177    arg_types = {"this": True, "wrapped": False}
 
    
 
 
@@ -26315,8 +26833,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3049class SessionParameter(Expression):
-3050    arg_types = {"this": True, "kind": False}
+            
    3180class SessionParameter(Expression):
+3181    arg_types = {"this": True, "kind": False}
 
    
 
 
@@ -26380,8 +26898,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3053class Placeholder(Expression):
-3054    arg_types = {"this": False, "kind": False}
+            
    3184class Placeholder(Expression):
+3185    arg_types = {"this": False, "kind": False}
 
    
 
 
@@ -26445,12 +26963,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    3057class Null(Condition):
-3058    arg_types: t.Dict[str, t.Any] = {}
-3059
-3060    @property
-3061    def name(self) -> str:
-3062        return "NULL"
+            
    3188class Null(Condition):
+3189    arg_types: t.Dict[str, t.Any] = {}
+3190
+3191    @property
+3192    def name(self) -> str:
+3193        return "NULL"
 
    
 
 
@@ -26529,8 +27047,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3065class Boolean(Condition):
-3066    pass
+            
    3196class Boolean(Condition):
+3197    pass
 
    
 
 
@@ -26609,8 +27127,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3069class DataTypeSize(Expression):
-3070    arg_types = {"this": True, "expression": False}
+            
    3200class DataTypeSize(Expression):
+3201    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -26674,138 +27192,138 @@ 
    Inherited Members
    
 
     
    
     
-            
    3073class DataType(Expression):
-3074    arg_types = {
-3075        "this": True,
-3076        "expressions": False,
-3077        "nested": False,
-3078        "values": False,
-3079        "prefix": False,
-3080    }
-3081
-3082    class Type(AutoName):
-3083        ARRAY = auto()
-3084        BIGDECIMAL = auto()
-3085        BIGINT = auto()
-3086        BIGSERIAL = auto()
-3087        BINARY = auto()
-3088        BIT = auto()
-3089        BOOLEAN = auto()
-3090        CHAR = auto()
-3091        DATE = auto()
-3092        DATETIME = auto()
-3093        DATETIME64 = auto()
-3094        DECIMAL = auto()
-3095        DOUBLE = auto()
-3096        FLOAT = auto()
-3097        GEOGRAPHY = auto()
-3098        GEOMETRY = auto()
-3099        HLLSKETCH = auto()
-3100        HSTORE = auto()
-3101        IMAGE = auto()
-3102        INET = auto()
-3103        INT = auto()
-3104        INT128 = auto()
-3105        INT256 = auto()
-3106        INTERVAL = auto()
-3107        JSON = auto()
-3108        JSONB = auto()
-3109        LONGBLOB = auto()
-3110        LONGTEXT = auto()
-3111        MAP = auto()
-3112        MEDIUMBLOB = auto()
-3113        MEDIUMTEXT = auto()
-3114        MONEY = auto()
-3115        NCHAR = auto()
-3116        NULL = auto()
-3117        NULLABLE = auto()
-3118        NVARCHAR = auto()
-3119        OBJECT = auto()
-3120        ROWVERSION = auto()
-3121        SERIAL = auto()
-3122        SMALLINT = auto()
-3123        SMALLMONEY = auto()
-3124        SMALLSERIAL = auto()
-3125        STRUCT = auto()
-3126        SUPER = auto()
-3127        TEXT = auto()
-3128        TIME = auto()
-3129        TIMESTAMP = auto()
-3130        TIMESTAMPTZ = auto()
-3131        TIMESTAMPLTZ = auto()
-3132        TINYINT = auto()
-3133        UBIGINT = auto()
-3134        UINT = auto()
-3135        USMALLINT = auto()
-3136        UTINYINT = auto()
-3137        UNKNOWN = auto()  # Sentinel value, useful for type annotation
-3138        UINT128 = auto()
-3139        UINT256 = auto()
-3140        UNIQUEIDENTIFIER = auto()
-3141        UUID = auto()
-3142        VARBINARY = auto()
-3143        VARCHAR = auto()
-3144        VARIANT = auto()
-3145        XML = auto()
-3146
-3147    TEXT_TYPES = {
-3148        Type.CHAR,
-3149        Type.NCHAR,
-3150        Type.VARCHAR,
-3151        Type.NVARCHAR,
-3152        Type.TEXT,
-3153    }
-3154
-3155    INTEGER_TYPES = {
-3156        Type.INT,
-3157        Type.TINYINT,
-3158        Type.SMALLINT,
-3159        Type.BIGINT,
-3160        Type.INT128,
-3161        Type.INT256,
-3162    }
-3163
-3164    FLOAT_TYPES = {
-3165        Type.FLOAT,
-3166        Type.DOUBLE,
-3167    }
-3168
-3169    NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES}
-3170
-3171    TEMPORAL_TYPES = {
-3172        Type.TIMESTAMP,
-3173        Type.TIMESTAMPTZ,
-3174        Type.TIMESTAMPLTZ,
-3175        Type.DATE,
-3176        Type.DATETIME,
-3177        Type.DATETIME64,
-3178    }
-3179
-3180    @classmethod
-3181    def build(
-3182        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
-3183    ) -> DataType:
-3184        from sqlglot import parse_one
-3185
-3186        if isinstance(dtype, str):
-3187            if dtype.upper() in cls.Type.__members__:
-3188                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
-3189            else:
-3190                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
-3191
-3192            if data_type_exp is None:
-3193                raise ValueError(f"Unparsable data type value: {dtype}")
-3194        elif isinstance(dtype, DataType.Type):
-3195            data_type_exp = DataType(this=dtype)
-3196        elif isinstance(dtype, DataType):
-3197            return dtype
-3198        else:
-3199            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
-3200
-3201        return DataType(**{**data_type_exp.args, **kwargs})
-3202
-3203    def is_type(self, dtype: DataType.Type) -> bool:
-3204        return self.this == dtype
+            
    3204class DataType(Expression):
+3205    arg_types = {
+3206        "this": True,
+3207        "expressions": False,
+3208        "nested": False,
+3209        "values": False,
+3210        "prefix": False,
+3211    }
+3212
+3213    class Type(AutoName):
+3214        ARRAY = auto()
+3215        BIGDECIMAL = auto()
+3216        BIGINT = auto()
+3217        BIGSERIAL = auto()
+3218        BINARY = auto()
+3219        BIT = auto()
+3220        BOOLEAN = auto()
+3221        CHAR = auto()
+3222        DATE = auto()
+3223        DATETIME = auto()
+3224        DATETIME64 = auto()
+3225        DECIMAL = auto()
+3226        DOUBLE = auto()
+3227        FLOAT = auto()
+3228        GEOGRAPHY = auto()
+3229        GEOMETRY = auto()
+3230        HLLSKETCH = auto()
+3231        HSTORE = auto()
+3232        IMAGE = auto()
+3233        INET = auto()
+3234        INT = auto()
+3235        INT128 = auto()
+3236        INT256 = auto()
+3237        INTERVAL = auto()
+3238        JSON = auto()
+3239        JSONB = auto()
+3240        LONGBLOB = auto()
+3241        LONGTEXT = auto()
+3242        MAP = auto()
+3243        MEDIUMBLOB = auto()
+3244        MEDIUMTEXT = auto()
+3245        MONEY = auto()
+3246        NCHAR = auto()
+3247        NULL = auto()
+3248        NULLABLE = auto()
+3249        NVARCHAR = auto()
+3250        OBJECT = auto()
+3251        ROWVERSION = auto()
+3252        SERIAL = auto()
+3253        SMALLINT = auto()
+3254        SMALLMONEY = auto()
+3255        SMALLSERIAL = auto()
+3256        STRUCT = auto()
+3257        SUPER = auto()
+3258        TEXT = auto()
+3259        TIME = auto()
+3260        TIMESTAMP = auto()
+3261        TIMESTAMPTZ = auto()
+3262        TIMESTAMPLTZ = auto()
+3263        TINYINT = auto()
+3264        UBIGINT = auto()
+3265        UINT = auto()
+3266        USMALLINT = auto()
+3267        UTINYINT = auto()
+3268        UNKNOWN = auto()  # Sentinel value, useful for type annotation
+3269        UINT128 = auto()
+3270        UINT256 = auto()
+3271        UNIQUEIDENTIFIER = auto()
+3272        UUID = auto()
+3273        VARBINARY = auto()
+3274        VARCHAR = auto()
+3275        VARIANT = auto()
+3276        XML = auto()
+3277
+3278    TEXT_TYPES = {
+3279        Type.CHAR,
+3280        Type.NCHAR,
+3281        Type.VARCHAR,
+3282        Type.NVARCHAR,
+3283        Type.TEXT,
+3284    }
+3285
+3286    INTEGER_TYPES = {
+3287        Type.INT,
+3288        Type.TINYINT,
+3289        Type.SMALLINT,
+3290        Type.BIGINT,
+3291        Type.INT128,
+3292        Type.INT256,
+3293    }
+3294
+3295    FLOAT_TYPES = {
+3296        Type.FLOAT,
+3297        Type.DOUBLE,
+3298    }
+3299
+3300    NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES}
+3301
+3302    TEMPORAL_TYPES = {
+3303        Type.TIMESTAMP,
+3304        Type.TIMESTAMPTZ,
+3305        Type.TIMESTAMPLTZ,
+3306        Type.DATE,
+3307        Type.DATETIME,
+3308        Type.DATETIME64,
+3309    }
+3310
+3311    @classmethod
+3312    def build(
+3313        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
+3314    ) -> DataType:
+3315        from sqlglot import parse_one
+3316
+3317        if isinstance(dtype, str):
+3318            if dtype.upper() in cls.Type.__members__:
+3319                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
+3320            else:
+3321                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
+3322
+3323            if data_type_exp is None:
+3324                raise ValueError(f"Unparsable data type value: {dtype}")
+3325        elif isinstance(dtype, DataType.Type):
+3326            data_type_exp = DataType(this=dtype)
+3327        elif isinstance(dtype, DataType):
+3328            return dtype
+3329        else:
+3330            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
+3331
+3332        return DataType(**{**data_type_exp.args, **kwargs})
+3333
+3334    def is_type(self, dtype: DataType.Type) -> bool:
+3335        return self.this == dtype
 
    
 
 
@@ -26823,28 +27341,28 @@ 
    Inherited Members
    
 
     
    
     
-            
    3180    @classmethod
-3181    def build(
-3182        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
-3183    ) -> DataType:
-3184        from sqlglot import parse_one
-3185
-3186        if isinstance(dtype, str):
-3187            if dtype.upper() in cls.Type.__members__:
-3188                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
-3189            else:
-3190                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
-3191
-3192            if data_type_exp is None:
-3193                raise ValueError(f"Unparsable data type value: {dtype}")
-3194        elif isinstance(dtype, DataType.Type):
-3195            data_type_exp = DataType(this=dtype)
-3196        elif isinstance(dtype, DataType):
-3197            return dtype
-3198        else:
-3199            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
-3200
-3201        return DataType(**{**data_type_exp.args, **kwargs})
+            
    3311    @classmethod
+3312    def build(
+3313        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
+3314    ) -> DataType:
+3315        from sqlglot import parse_one
+3316
+3317        if isinstance(dtype, str):
+3318            if dtype.upper() in cls.Type.__members__:
+3319                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[dtype.upper()])
+3320            else:
+3321                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
+3322
+3323            if data_type_exp is None:
+3324                raise ValueError(f"Unparsable data type value: {dtype}")
+3325        elif isinstance(dtype, DataType.Type):
+3326            data_type_exp = DataType(this=dtype)
+3327        elif isinstance(dtype, DataType):
+3328            return dtype
+3329        else:
+3330            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
+3331
+3332        return DataType(**{**data_type_exp.args, **kwargs})
 
    
 
 
@@ -26862,8 +27380,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3203    def is_type(self, dtype: DataType.Type) -> bool:
-3204        return self.this == dtype
+            
    3334    def is_type(self, dtype: DataType.Type) -> bool:
+3335        return self.this == dtype
 
    
 
 
@@ -26928,70 +27446,70 @@ 
    Inherited Members
    
 
     
    
     
-            
    3082    class Type(AutoName):
-3083        ARRAY = auto()
-3084        BIGDECIMAL = auto()
-3085        BIGINT = auto()
-3086        BIGSERIAL = auto()
-3087        BINARY = auto()
-3088        BIT = auto()
-3089        BOOLEAN = auto()
-3090        CHAR = auto()
-3091        DATE = auto()
-3092        DATETIME = auto()
-3093        DATETIME64 = auto()
-3094        DECIMAL = auto()
-3095        DOUBLE = auto()
-3096        FLOAT = auto()
-3097        GEOGRAPHY = auto()
-3098        GEOMETRY = auto()
-3099        HLLSKETCH = auto()
-3100        HSTORE = auto()
-3101        IMAGE = auto()
-3102        INET = auto()
-3103        INT = auto()
-3104        INT128 = auto()
-3105        INT256 = auto()
-3106        INTERVAL = auto()
-3107        JSON = auto()
-3108        JSONB = auto()
-3109        LONGBLOB = auto()
-3110        LONGTEXT = auto()
-3111        MAP = auto()
-3112        MEDIUMBLOB = auto()
-3113        MEDIUMTEXT = auto()
-3114        MONEY = auto()
-3115        NCHAR = auto()
-3116        NULL = auto()
-3117        NULLABLE = auto()
-3118        NVARCHAR = auto()
-3119        OBJECT = auto()
-3120        ROWVERSION = auto()
-3121        SERIAL = auto()
-3122        SMALLINT = auto()
-3123        SMALLMONEY = auto()
-3124        SMALLSERIAL = auto()
-3125        STRUCT = auto()
-3126        SUPER = auto()
-3127        TEXT = auto()
-3128        TIME = auto()
-3129        TIMESTAMP = auto()
-3130        TIMESTAMPTZ = auto()
-3131        TIMESTAMPLTZ = auto()
-3132        TINYINT = auto()
-3133        UBIGINT = auto()
-3134        UINT = auto()
-3135        USMALLINT = auto()
-3136        UTINYINT = auto()
-3137        UNKNOWN = auto()  # Sentinel value, useful for type annotation
-3138        UINT128 = auto()
-3139        UINT256 = auto()
-3140        UNIQUEIDENTIFIER = auto()
-3141        UUID = auto()
-3142        VARBINARY = auto()
-3143        VARCHAR = auto()
-3144        VARIANT = auto()
-3145        XML = auto()
+            
    3213    class Type(AutoName):
+3214        ARRAY = auto()
+3215        BIGDECIMAL = auto()
+3216        BIGINT = auto()
+3217        BIGSERIAL = auto()
+3218        BINARY = auto()
+3219        BIT = auto()
+3220        BOOLEAN = auto()
+3221        CHAR = auto()
+3222        DATE = auto()
+3223        DATETIME = auto()
+3224        DATETIME64 = auto()
+3225        DECIMAL = auto()
+3226        DOUBLE = auto()
+3227        FLOAT = auto()
+3228        GEOGRAPHY = auto()
+3229        GEOMETRY = auto()
+3230        HLLSKETCH = auto()
+3231        HSTORE = auto()
+3232        IMAGE = auto()
+3233        INET = auto()
+3234        INT = auto()
+3235        INT128 = auto()
+3236        INT256 = auto()
+3237        INTERVAL = auto()
+3238        JSON = auto()
+3239        JSONB = auto()
+3240        LONGBLOB = auto()
+3241        LONGTEXT = auto()
+3242        MAP = auto()
+3243        MEDIUMBLOB = auto()
+3244        MEDIUMTEXT = auto()
+3245        MONEY = auto()
+3246        NCHAR = auto()
+3247        NULL = auto()
+3248        NULLABLE = auto()
+3249        NVARCHAR = auto()
+3250        OBJECT = auto()
+3251        ROWVERSION = auto()
+3252        SERIAL = auto()
+3253        SMALLINT = auto()
+3254        SMALLMONEY = auto()
+3255        SMALLSERIAL = auto()
+3256        STRUCT = auto()
+3257        SUPER = auto()
+3258        TEXT = auto()
+3259        TIME = auto()
+3260        TIMESTAMP = auto()
+3261        TIMESTAMPTZ = auto()
+3262        TIMESTAMPLTZ = auto()
+3263        TINYINT = auto()
+3264        UBIGINT = auto()
+3265        UINT = auto()
+3266        USMALLINT = auto()
+3267        UTINYINT = auto()
+3268        UNKNOWN = auto()  # Sentinel value, useful for type annotation
+3269        UINT128 = auto()
+3270        UINT256 = auto()
+3271        UNIQUEIDENTIFIER = auto()
+3272        UUID = auto()
+3273        VARBINARY = auto()
+3274        VARCHAR = auto()
+3275        VARIANT = auto()
+3276        XML = auto()
 
    
 
 
@@ -27777,8 +28295,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3208class PseudoType(Expression):
-3209    pass
+            
    3339class PseudoType(Expression):
+3340    pass
 
    
 
 
@@ -27842,8 +28360,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3213class SubqueryPredicate(Predicate):
-3214    pass
+            
    3344class SubqueryPredicate(Predicate):
+3345    pass
 
    
 
 
@@ -27922,8 +28440,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3217class All(SubqueryPredicate):
-3218    pass
+            
    3348class All(SubqueryPredicate):
+3349    pass
 
    
 
 
@@ -28002,8 +28520,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3221class Any(SubqueryPredicate):
-3222    pass
+            
    3352class Any(SubqueryPredicate):
+3353    pass
 
    
 
 
@@ -28082,8 +28600,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3225class Exists(SubqueryPredicate):
-3226    pass
+            
    3356class Exists(SubqueryPredicate):
+3357    pass
 
    
 
 
@@ -28162,8 +28680,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3231class Command(Expression):
-3232    arg_types = {"this": True, "expression": False}
+            
    3362class Command(Expression):
+3363    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -28227,8 +28745,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3235class Transaction(Expression):
-3236    arg_types = {"this": False, "modes": False}
+            
    3366class Transaction(Expression):
+3367    arg_types = {"this": False, "modes": False}
 
    
 
 
@@ -28292,8 +28810,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3239class Commit(Expression):
-3240    arg_types = {"chain": False}
+            
    3370class Commit(Expression):
+3371    arg_types = {"chain": False}
 
    
 
 
@@ -28357,8 +28875,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3243class Rollback(Expression):
-3244    arg_types = {"savepoint": False}
+            
    3374class Rollback(Expression):
+3375    arg_types = {"savepoint": False}
 
    
 
 
@@ -28422,8 +28940,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3247class AlterTable(Expression):
-3248    arg_types = {"this": True, "actions": True, "exists": False}
+            
    3378class AlterTable(Expression):
+3379    arg_types = {"this": True, "actions": True, "exists": False}
 
    
 
 
@@ -28487,8 +29005,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3251class AddConstraint(Expression):
-3252    arg_types = {"this": False, "expression": False, "enforced": False}
+            
    3382class AddConstraint(Expression):
+3383    arg_types = {"this": False, "expression": False, "enforced": False}
 
    
 
 
@@ -28552,8 +29070,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3255class DropPartition(Expression):
-3256    arg_types = {"expressions": True, "exists": False}
+            
    3386class DropPartition(Expression):
+3387    arg_types = {"expressions": True, "exists": False}
 
    
 
 
@@ -28617,16 +29135,16 @@ 
    Inherited Members
    
 
     
    
     
-            
    3260class Binary(Condition):
-3261    arg_types = {"this": True, "expression": True}
-3262
-3263    @property
-3264    def left(self):
-3265        return self.this
-3266
-3267    @property
-3268    def right(self):
-3269        return self.expression
+            
    3391class Binary(Condition):
+3392    arg_types = {"this": True, "expression": True}
+3393
+3394    @property
+3395    def left(self):
+3396        return self.this
+3397
+3398    @property
+3399    def right(self):
+3400        return self.expression
 
    
 
 
@@ -28705,8 +29223,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3272class Add(Binary):
-3273    pass
+            
    3403class Add(Binary):
+3404    pass
 
    
 
 
@@ -28785,8 +29303,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3276class Connector(Binary):
-3277    pass
+            
    3407class Connector(Binary):
+3408    pass
 
    
 
 
@@ -28865,8 +29383,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3280class And(Connector):
-3281    pass
+            
    3411class And(Connector):
+3412    pass
 
    
 
 
@@ -28945,8 +29463,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3284class Or(Connector):
-3285    pass
+            
    3415class Or(Connector):
+3416    pass
 
    
 
 
@@ -29025,8 +29543,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3288class BitwiseAnd(Binary):
-3289    pass
+            
    3419class BitwiseAnd(Binary):
+3420    pass
 
    
 
 
@@ -29105,8 +29623,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3292class BitwiseLeftShift(Binary):
-3293    pass
+            
    3423class BitwiseLeftShift(Binary):
+3424    pass
 
    
 
 
@@ -29185,8 +29703,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3296class BitwiseOr(Binary):
-3297    pass
+            
    3427class BitwiseOr(Binary):
+3428    pass
 
    
 
 
@@ -29265,8 +29783,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3300class BitwiseRightShift(Binary):
-3301    pass
+            
    3431class BitwiseRightShift(Binary):
+3432    pass
 
    
 
 
@@ -29345,8 +29863,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3304class BitwiseXor(Binary):
-3305    pass
+            
    3435class BitwiseXor(Binary):
+3436    pass
 
    
 
 
@@ -29425,8 +29943,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3308class Div(Binary):
-3309    pass
+            
    3439class Div(Binary):
+3440    pass
 
    
 
 
@@ -29505,8 +30023,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3312class Overlaps(Binary):
-3313    pass
+            
    3443class Overlaps(Binary):
+3444    pass
 
    
 
 
@@ -29585,24 +30103,24 @@ 
    Inherited Members
    
 
     
    
     
-            
    3316class Dot(Binary):
-3317    @property
-3318    def name(self) -> str:
-3319        return self.expression.name
-3320
-3321    @classmethod
-3322    def build(self, expressions: t.Sequence[Expression]) -> Dot:
-3323        """Build a Dot object with a sequence of expressions."""
-3324        if len(expressions) < 2:
-3325            raise ValueError(f"Dot requires >= 2 expressions.")
-3326
-3327        a, b, *expressions = expressions
-3328        dot = Dot(this=a, expression=b)
-3329
-3330        for expression in expressions:
-3331            dot = Dot(this=dot, expression=expression)
-3332
-3333        return dot
+            
    3447class Dot(Binary):
+3448    @property
+3449    def name(self) -> str:
+3450        return self.expression.name
+3451
+3452    @classmethod
+3453    def build(self, expressions: t.Sequence[Expression]) -> Dot:
+3454        """Build a Dot object with a sequence of expressions."""
+3455        if len(expressions) < 2:
+3456            raise ValueError(f"Dot requires >= 2 expressions.")
+3457
+3458        a, b, *expressions = expressions
+3459        dot = Dot(this=a, expression=b)
+3460
+3461        for expression in expressions:
+3462            dot = Dot(this=dot, expression=expression)
+3463
+3464        return dot
 
    
 
 
@@ -29620,19 +30138,19 @@ 
    Inherited Members
    
 
     
    
     
-            
    3321    @classmethod
-3322    def build(self, expressions: t.Sequence[Expression]) -> Dot:
-3323        """Build a Dot object with a sequence of expressions."""
-3324        if len(expressions) < 2:
-3325            raise ValueError(f"Dot requires >= 2 expressions.")
-3326
-3327        a, b, *expressions = expressions
-3328        dot = Dot(this=a, expression=b)
-3329
-3330        for expression in expressions:
-3331            dot = Dot(this=dot, expression=expression)
-3332
-3333        return dot
+            
    3452    @classmethod
+3453    def build(self, expressions: t.Sequence[Expression]) -> Dot:
+3454        """Build a Dot object with a sequence of expressions."""
+3455        if len(expressions) < 2:
+3456            raise ValueError(f"Dot requires >= 2 expressions.")
+3457
+3458        a, b, *expressions = expressions
+3459        dot = Dot(this=a, expression=b)
+3460
+3461        for expression in expressions:
+3462            dot = Dot(this=dot, expression=expression)
+3463
+3464        return dot
 
    
 
 
@@ -29714,8 +30232,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3336class DPipe(Binary):
-3337    pass
+            
    3467class DPipe(Binary):
+3468    pass
 
    
 
 
@@ -29794,8 +30312,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3340class EQ(Binary, Predicate):
-3341    pass
+            
    3471class EQ(Binary, Predicate):
+3472    pass
 
    
 
 
@@ -29874,8 +30392,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3344class NullSafeEQ(Binary, Predicate):
-3345    pass
+            
    3475class NullSafeEQ(Binary, Predicate):
+3476    pass
 
    
 
 
@@ -29954,8 +30472,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3348class NullSafeNEQ(Binary, Predicate):
-3349    pass
+            
    3479class NullSafeNEQ(Binary, Predicate):
+3480    pass
 
    
 
 
@@ -30034,8 +30552,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3352class Distance(Binary):
-3353    pass
+            
    3483class Distance(Binary):
+3484    pass
 
    
 
 
@@ -30114,8 +30632,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3356class Escape(Binary):
-3357    pass
+            
    3487class Escape(Binary):
+3488    pass
 
    
 
 
@@ -30194,8 +30712,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3360class Glob(Binary, Predicate):
-3361    pass
+            
    3491class Glob(Binary, Predicate):
+3492    pass
 
    
 
 
@@ -30274,8 +30792,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3364class GT(Binary, Predicate):
-3365    pass
+            
    3495class GT(Binary, Predicate):
+3496    pass
 
    
 
 
@@ -30354,8 +30872,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3368class GTE(Binary, Predicate):
-3369    pass
+            
    3499class GTE(Binary, Predicate):
+3500    pass
 
    
 
 
@@ -30434,8 +30952,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3372class ILike(Binary, Predicate):
-3373    pass
+            
    3503class ILike(Binary, Predicate):
+3504    pass
 
    
 
 
@@ -30514,8 +31032,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3376class ILikeAny(Binary, Predicate):
-3377    pass
+            
    3507class ILikeAny(Binary, Predicate):
+3508    pass
 
    
 
 
@@ -30594,8 +31112,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3380class IntDiv(Binary):
-3381    pass
+            
    3511class IntDiv(Binary):
+3512    pass
 
    
 
 
@@ -30674,8 +31192,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3384class Is(Binary, Predicate):
-3385    pass
+            
    3515class Is(Binary, Predicate):
+3516    pass
 
    
 
 
@@ -30754,8 +31272,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3388class Kwarg(Binary):
-3389    """Kwarg in special functions like func(kwarg => y)."""
+            
    3519class Kwarg(Binary):
+3520    """Kwarg in special functions like func(kwarg => y)."""
 
    
 
 
@@ -30836,8 +31354,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3392class Like(Binary, Predicate):
-3393    pass
+            
    3523class Like(Binary, Predicate):
+3524    pass
 
    
 
 
@@ -30916,8 +31434,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3396class LikeAny(Binary, Predicate):
-3397    pass
+            
    3527class LikeAny(Binary, Predicate):
+3528    pass
 
    
 
 
@@ -30996,8 +31514,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3400class LT(Binary, Predicate):
-3401    pass
+            
    3531class LT(Binary, Predicate):
+3532    pass
 
    
 
 
@@ -31076,8 +31594,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3404class LTE(Binary, Predicate):
-3405    pass
+            
    3535class LTE(Binary, Predicate):
+3536    pass
 
    
 
 
@@ -31156,8 +31674,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3408class Mod(Binary):
-3409    pass
+            
    3539class Mod(Binary):
+3540    pass
 
    
 
 
@@ -31236,8 +31754,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3412class Mul(Binary):
-3413    pass
+            
    3543class Mul(Binary):
+3544    pass
 
    
 
 
@@ -31316,8 +31834,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3416class NEQ(Binary, Predicate):
-3417    pass
+            
    3547class NEQ(Binary, Predicate):
+3548    pass
 
    
 
 
@@ -31396,8 +31914,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3420class SimilarTo(Binary, Predicate):
-3421    pass
+            
    3551class SimilarTo(Binary, Predicate):
+3552    pass
 
    
 
 
@@ -31476,8 +31994,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3424class Slice(Binary):
-3425    arg_types = {"this": False, "expression": False}
+            
    3555class Slice(Binary):
+3556    arg_types = {"this": False, "expression": False}
 
    
 
 
@@ -31556,8 +32074,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3428class Sub(Binary):
-3429    pass
+            
    3559class Sub(Binary):
+3560    pass
 
    
 
 
@@ -31636,8 +32154,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3432class ArrayOverlaps(Binary):
-3433    pass
+            
    3563class ArrayOverlaps(Binary):
+3564    pass
 
    
 
 
@@ -31716,8 +32234,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3438class Unary(Condition):
-3439    pass
+            
    3569class Unary(Condition):
+3570    pass
 
    
 
 
@@ -31796,8 +32314,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3442class BitwiseNot(Unary):
-3443    pass
+            
    3573class BitwiseNot(Unary):
+3574    pass
 
    
 
 
@@ -31876,8 +32394,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3446class Not(Unary):
-3447    pass
+            
    3577class Not(Unary):
+3578    pass
 
    
 
 
@@ -31956,8 +32474,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3450class Paren(Unary):
-3451    arg_types = {"this": True, "with": False}
+            
    3581class Paren(Unary):
+3582    arg_types = {"this": True, "with": False}
 
    
 
 
@@ -32036,8 +32554,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3454class Neg(Unary):
-3455    pass
+            
    3585class Neg(Unary):
+3586    pass
 
    
 
 
@@ -32116,12 +32634,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    3458class Alias(Expression):
-3459    arg_types = {"this": True, "alias": False}
-3460
-3461    @property
-3462    def output_name(self):
-3463        return self.alias
+            
    3589class Alias(Expression):
+3590    arg_types = {"this": True, "alias": False}
+3591
+3592    @property
+3593    def output_name(self) -> str:
+3594        return self.alias
 
    
 
 
@@ -32129,7 +32647,7 @@ 
    Inherited Members
    
 
                             
    
                                 
    
-            output_name
+            output_name: str
 
         
     
    
@@ -32214,12 +32732,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    3466class Aliases(Expression):
-3467    arg_types = {"this": True, "expressions": True}
-3468
-3469    @property
-3470    def aliases(self):
-3471        return self.expressions
+            
    3597class Aliases(Expression):
+3598    arg_types = {"this": True, "expressions": True}
+3599
+3600    @property
+3601    def aliases(self):
+3602        return self.expressions
 
    
 
 
@@ -32283,8 +32801,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3474class AtTimeZone(Expression):
-3475    arg_types = {"this": True, "zone": True}
+            
    3605class AtTimeZone(Expression):
+3606    arg_types = {"this": True, "zone": True}
 
    
 
 
@@ -32348,8 +32866,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3478class Between(Predicate):
-3479    arg_types = {"this": True, "low": True, "high": True}
+            
    3609class Between(Predicate):
+3610    arg_types = {"this": True, "low": True, "high": True}
 
    
 
 
@@ -32428,8 +32946,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3482class Bracket(Condition):
-3483    arg_types = {"this": True, "expressions": True}
+            
    3613class Bracket(Condition):
+3614    arg_types = {"this": True, "expressions": True}
 
    
 
 
@@ -32508,8 +33026,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3486class Distinct(Expression):
-3487    arg_types = {"expressions": False, "on": False}
+            
    3617class Distinct(Expression):
+3618    arg_types = {"expressions": False, "on": False}
 
    
 
 
@@ -32573,15 +33091,15 @@ 
    Inherited Members
    
 
     
    
     
-            
    3490class In(Predicate):
-3491    arg_types = {
-3492        "this": True,
-3493        "expressions": False,
-3494        "query": False,
-3495        "unnest": False,
-3496        "field": False,
-3497        "is_global": False,
-3498    }
+            
    3621class In(Predicate):
+3622    arg_types = {
+3623        "this": True,
+3624        "expressions": False,
+3625        "query": False,
+3626        "unnest": False,
+3627        "field": False,
+3628        "is_global": False,
+3629    }
 
    
 
 
@@ -32660,18 +33178,19 @@ 
    Inherited Members
    
 
     
    
     
-            
    3501class TimeUnit(Expression):
-3502    """Automatically converts unit arg into a var."""
-3503
-3504    arg_types = {"unit": False}
-3505
-3506    def __init__(self, **args):
-3507        unit = args.get("unit")
-3508        if isinstance(unit, (Column, Literal)):
-3509            args["unit"] = Var(this=unit.name)
-3510        elif isinstance(unit, Week):
-3511            unit.set("this", Var(this=unit.this.name))
-3512        super().__init__(**args)
+            
    3632class TimeUnit(Expression):
+3633    """Automatically converts unit arg into a var."""
+3634
+3635    arg_types = {"unit": False}
+3636
+3637    def __init__(self, **args):
+3638        unit = args.get("unit")
+3639        if isinstance(unit, (Column, Literal)):
+3640            args["unit"] = Var(this=unit.name)
+3641        elif isinstance(unit, Week):
+3642            unit.set("this", Var(this=unit.this.name))
+3643
+3644        super().__init__(**args)
 
    
 
 
@@ -32689,13 +33208,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    3506    def __init__(self, **args):
-3507        unit = args.get("unit")
-3508        if isinstance(unit, (Column, Literal)):
-3509            args["unit"] = Var(this=unit.name)
-3510        elif isinstance(unit, Week):
-3511            unit.set("this", Var(this=unit.this.name))
-3512        super().__init__(**args)
+            
    3637    def __init__(self, **args):
+3638        unit = args.get("unit")
+3639        if isinstance(unit, (Column, Literal)):
+3640            args["unit"] = Var(this=unit.name)
+3641        elif isinstance(unit, Week):
+3642            unit.set("this", Var(this=unit.this.name))
+3643
+3644        super().__init__(**args)
 
    
 
 
@@ -32759,12 +33279,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    3515class Interval(TimeUnit):
-3516    arg_types = {"this": False, "unit": False}
-3517
-3518    @property
-3519    def unit(self) -> t.Optional[Var]:
-3520        return self.args.get("unit")
+            
    3647class Interval(TimeUnit):
+3648    arg_types = {"this": False, "unit": False}
+3649
+3650    @property
+3651    def unit(self) -> t.Optional[Var]:
+3652        return self.args.get("unit")
 
    
 
 
@@ -32831,8 +33351,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3523class IgnoreNulls(Expression):
-3524    pass
+            
    3655class IgnoreNulls(Expression):
+3656    pass
 
    
 
 
@@ -32896,8 +33416,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3527class RespectNulls(Expression):
-3528    pass
+            
    3659class RespectNulls(Expression):
+3660    pass
 
    
 
 
@@ -32961,53 +33481,53 @@ 
    Inherited Members
    
 
     
    
     
-            
    3532class Func(Condition):
-3533    """
-3534    The base class for all function expressions.
-3535
-3536    Attributes:
-3537        is_var_len_args (bool): if set to True the last argument defined in arg_types will be
-3538            treated as a variable length argument and the argument's value will be stored as a list.
-3539        _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)
-3540            for this function expression. These values are used to map this node to a name during parsing
-3541            as well as to provide the function's name during SQL string generation. By default the SQL
-3542            name is set to the expression's class name transformed to snake case.
-3543    """
-3544
-3545    is_var_len_args = False
-3546
-3547    @classmethod
-3548    def from_arg_list(cls, args):
-3549        if cls.is_var_len_args:
-3550            all_arg_keys = list(cls.arg_types)
-3551            # If this function supports variable length argument treat the last argument as such.
-3552            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
-3553            num_non_var = len(non_var_len_arg_keys)
-3554
-3555            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
-3556            args_dict[all_arg_keys[-1]] = args[num_non_var:]
-3557        else:
-3558            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
-3559
-3560        return cls(**args_dict)
-3561
-3562    @classmethod
-3563    def sql_names(cls):
-3564        if cls is Func:
-3565            raise NotImplementedError(
-3566                "SQL name is only supported by concrete function implementations"
-3567            )
-3568        if "_sql_names" not in cls.__dict__:
-3569            cls._sql_names = [camel_to_snake_case(cls.__name__)]
-3570        return cls._sql_names
-3571
-3572    @classmethod
-3573    def sql_name(cls):
-3574        return cls.sql_names()[0]
-3575
-3576    @classmethod
-3577    def default_parser_mappings(cls):
-3578        return {name: cls.from_arg_list for name in cls.sql_names()}
+            
    3664class Func(Condition):
+3665    """
+3666    The base class for all function expressions.
+3667
+3668    Attributes:
+3669        is_var_len_args (bool): if set to True the last argument defined in arg_types will be
+3670            treated as a variable length argument and the argument's value will be stored as a list.
+3671        _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)
+3672            for this function expression. These values are used to map this node to a name during parsing
+3673            as well as to provide the function's name during SQL string generation. By default the SQL
+3674            name is set to the expression's class name transformed to snake case.
+3675    """
+3676
+3677    is_var_len_args = False
+3678
+3679    @classmethod
+3680    def from_arg_list(cls, args):
+3681        if cls.is_var_len_args:
+3682            all_arg_keys = list(cls.arg_types)
+3683            # If this function supports variable length argument treat the last argument as such.
+3684            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
+3685            num_non_var = len(non_var_len_arg_keys)
+3686
+3687            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
+3688            args_dict[all_arg_keys[-1]] = args[num_non_var:]
+3689        else:
+3690            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
+3691
+3692        return cls(**args_dict)
+3693
+3694    @classmethod
+3695    def sql_names(cls):
+3696        if cls is Func:
+3697            raise NotImplementedError(
+3698                "SQL name is only supported by concrete function implementations"
+3699            )
+3700        if "_sql_names" not in cls.__dict__:
+3701            cls._sql_names = [camel_to_snake_case(cls.__name__)]
+3702        return cls._sql_names
+3703
+3704    @classmethod
+3705    def sql_name(cls):
+3706        return cls.sql_names()[0]
+3707
+3708    @classmethod
+3709    def default_parser_mappings(cls):
+3710        return {name: cls.from_arg_list for name in cls.sql_names()}
 
    
 
 
@@ -33038,20 +33558,20 @@ 
    Attributes:
    
 
     
    
     
-            
    3547    @classmethod
-3548    def from_arg_list(cls, args):
-3549        if cls.is_var_len_args:
-3550            all_arg_keys = list(cls.arg_types)
-3551            # If this function supports variable length argument treat the last argument as such.
-3552            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
-3553            num_non_var = len(non_var_len_arg_keys)
-3554
-3555            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
-3556            args_dict[all_arg_keys[-1]] = args[num_non_var:]
-3557        else:
-3558            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
-3559
-3560        return cls(**args_dict)
+            
    3679    @classmethod
+3680    def from_arg_list(cls, args):
+3681        if cls.is_var_len_args:
+3682            all_arg_keys = list(cls.arg_types)
+3683            # If this function supports variable length argument treat the last argument as such.
+3684            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
+3685            num_non_var = len(non_var_len_arg_keys)
+3686
+3687            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
+3688            args_dict[all_arg_keys[-1]] = args[num_non_var:]
+3689        else:
+3690            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
+3691
+3692        return cls(**args_dict)
 
    
 
 
@@ -33070,15 +33590,15 @@ 
    Attributes:
    
 
     
    
     
-            
    3562    @classmethod
-3563    def sql_names(cls):
-3564        if cls is Func:
-3565            raise NotImplementedError(
-3566                "SQL name is only supported by concrete function implementations"
-3567            )
-3568        if "_sql_names" not in cls.__dict__:
-3569            cls._sql_names = [camel_to_snake_case(cls.__name__)]
-3570        return cls._sql_names
+            
    3694    @classmethod
+3695    def sql_names(cls):
+3696        if cls is Func:
+3697            raise NotImplementedError(
+3698                "SQL name is only supported by concrete function implementations"
+3699            )
+3700        if "_sql_names" not in cls.__dict__:
+3701            cls._sql_names = [camel_to_snake_case(cls.__name__)]
+3702        return cls._sql_names
 
    
 
 
@@ -33097,9 +33617,9 @@ 
    Attributes:
    
 
     
    
     
-            
    3572    @classmethod
-3573    def sql_name(cls):
-3574        return cls.sql_names()[0]
+            
    3704    @classmethod
+3705    def sql_name(cls):
+3706        return cls.sql_names()[0]
 
    
 
 
@@ -33118,9 +33638,9 @@ 
    Attributes:
    
 
     
    
     
-            
    3576    @classmethod
-3577    def default_parser_mappings(cls):
-3578        return {name: cls.from_arg_list for name in cls.sql_names()}
+            
    3708    @classmethod
+3709    def default_parser_mappings(cls):
+3710        return {name: cls.from_arg_list for name in cls.sql_names()}
 
    
 
 
@@ -33200,8 +33720,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3581class AggFunc(Func):
-3582    pass
+            
    3713class AggFunc(Func):
+3714    pass
 
    
 
 
@@ -33287,8 +33807,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3585class ParameterizedAgg(AggFunc):
-3586    arg_types = {"this": True, "expressions": True, "params": True}
+            
    3717class ParameterizedAgg(AggFunc):
+3718    arg_types = {"this": True, "expressions": True, "params": True}
 
    
 
 
@@ -33374,8 +33894,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3589class Abs(Func):
-3590    pass
+            
    3721class Abs(Func):
+3722    pass
 
    
 
 
@@ -33461,9 +33981,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3593class Anonymous(Func):
-3594    arg_types = {"this": True, "expressions": False}
-3595    is_var_len_args = True
+            
    3725class Anonymous(Func):
+3726    arg_types = {"this": True, "expressions": False}
+3727    is_var_len_args = True
 
    
 
 
@@ -33549,9 +34069,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3600class Hll(AggFunc):
-3601    arg_types = {"this": True, "expressions": False}
-3602    is_var_len_args = True
+            
    3732class Hll(AggFunc):
+3733    arg_types = {"this": True, "expressions": False}
+3734    is_var_len_args = True
 
    
 
 
@@ -33637,9 +34157,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3605class ApproxDistinct(AggFunc):
-3606    arg_types = {"this": True, "accuracy": False}
-3607    _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"]
+            
    3737class ApproxDistinct(AggFunc):
+3738    arg_types = {"this": True, "accuracy": False}
+3739    _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"]
 
    
 
 
@@ -33725,9 +34245,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3610class Array(Func):
-3611    arg_types = {"expressions": False}
-3612    is_var_len_args = True
+            
    3742class Array(Func):
+3743    arg_types = {"expressions": False}
+3744    is_var_len_args = True
 
    
 
 
@@ -33813,8 +34333,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3616class ToChar(Func):
-3617    arg_types = {"this": True, "format": False}
+            
    3748class ToChar(Func):
+3749    arg_types = {"this": True, "format": False}
 
    
 
 
@@ -33900,8 +34420,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3620class GenerateSeries(Func):
-3621    arg_types = {"start": True, "end": True, "step": False}
+            
    3752class GenerateSeries(Func):
+3753    arg_types = {"start": True, "end": True, "step": False}
 
    
 
 
@@ -33987,8 +34507,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3624class ArrayAgg(AggFunc):
-3625    pass
+            
    3756class ArrayAgg(AggFunc):
+3757    pass
 
    
 
 
@@ -34074,8 +34594,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3628class ArrayAll(Func):
-3629    arg_types = {"this": True, "expression": True}
+            
    3760class ArrayAll(Func):
+3761    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -34161,8 +34681,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3632class ArrayAny(Func):
-3633    arg_types = {"this": True, "expression": True}
+            
    3764class ArrayAny(Func):
+3765    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -34248,9 +34768,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3636class ArrayConcat(Func):
-3637    arg_types = {"this": True, "expressions": False}
-3638    is_var_len_args = True
+            
    3768class ArrayConcat(Func):
+3769    arg_types = {"this": True, "expressions": False}
+3770    is_var_len_args = True
 
    
 
 
@@ -34336,8 +34856,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3641class ArrayContains(Binary, Func):
-3642    pass
+            
    3773class ArrayContains(Binary, Func):
+3774    pass
 
    
 
 
@@ -34423,8 +34943,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3645class ArrayContained(Binary):
-3646    pass
+            
    3777class ArrayContained(Binary):
+3778    pass
 
    
 
 
@@ -34503,9 +35023,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3649class ArrayFilter(Func):
-3650    arg_types = {"this": True, "expression": True}
-3651    _sql_names = ["FILTER", "ARRAY_FILTER"]
+            
    3781class ArrayFilter(Func):
+3782    arg_types = {"this": True, "expression": True}
+3783    _sql_names = ["FILTER", "ARRAY_FILTER"]
 
    
 
 
@@ -34591,8 +35111,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3654class ArrayJoin(Func):
-3655    arg_types = {"this": True, "expression": True, "null": False}
+            
    3786class ArrayJoin(Func):
+3787    arg_types = {"this": True, "expression": True, "null": False}
 
    
 
 
@@ -34678,8 +35198,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3658class ArraySize(Func):
-3659    arg_types = {"this": True, "expression": False}
+            
    3790class ArraySize(Func):
+3791    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -34765,8 +35285,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3662class ArraySort(Func):
-3663    arg_types = {"this": True, "expression": False}
+            
    3794class ArraySort(Func):
+3795    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -34852,8 +35372,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3666class ArraySum(Func):
-3667    pass
+            
    3798class ArraySum(Func):
+3799    pass
 
    
 
 
@@ -34939,8 +35459,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3670class ArrayUnionAgg(AggFunc):
-3671    pass
+            
    3802class ArrayUnionAgg(AggFunc):
+3803    pass
 
    
 
 
@@ -35026,8 +35546,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3674class Avg(AggFunc):
-3675    pass
+            
    3806class Avg(AggFunc):
+3807    pass
 
    
 
 
@@ -35113,8 +35633,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3678class AnyValue(AggFunc):
-3679    pass
+            
    3810class AnyValue(AggFunc):
+3811    pass
 
    
 
 
@@ -35200,24 +35720,24 @@ 
    Inherited Members
    
 
     
    
     
-            
    3682class Case(Func):
-3683    arg_types = {"this": False, "ifs": True, "default": False}
-3684
-3685    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
-3686        instance = _maybe_copy(self, copy)
-3687        instance.append(
-3688            "ifs",
-3689            If(
-3690                this=maybe_parse(condition, copy=copy, **opts),
-3691                true=maybe_parse(then, copy=copy, **opts),
-3692            ),
-3693        )
-3694        return instance
-3695
-3696    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
-3697        instance = _maybe_copy(self, copy)
-3698        instance.set("default", maybe_parse(condition, copy=copy, **opts))
-3699        return instance
+            
    3814class Case(Func):
+3815    arg_types = {"this": False, "ifs": True, "default": False}
+3816
+3817    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
+3818        instance = _maybe_copy(self, copy)
+3819        instance.append(
+3820            "ifs",
+3821            If(
+3822                this=maybe_parse(condition, copy=copy, **opts),
+3823                true=maybe_parse(then, copy=copy, **opts),
+3824            ),
+3825        )
+3826        return instance
+3827
+3828    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
+3829        instance = _maybe_copy(self, copy)
+3830        instance.set("default", maybe_parse(condition, copy=copy, **opts))
+3831        return instance
 
    
 
 
@@ -35234,16 +35754,16 @@ 
    Inherited Members
    
 
     
    
     
-            
    3685    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
-3686        instance = _maybe_copy(self, copy)
-3687        instance.append(
-3688            "ifs",
-3689            If(
-3690                this=maybe_parse(condition, copy=copy, **opts),
-3691                true=maybe_parse(then, copy=copy, **opts),
-3692            ),
-3693        )
-3694        return instance
+            
    3817    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
+3818        instance = _maybe_copy(self, copy)
+3819        instance.append(
+3820            "ifs",
+3821            If(
+3822                this=maybe_parse(condition, copy=copy, **opts),
+3823                true=maybe_parse(then, copy=copy, **opts),
+3824            ),
+3825        )
+3826        return instance
 
    
 
 
@@ -35261,10 +35781,10 @@ 
    Inherited Members
    
 
     
    
     
-            
    3696    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
-3697        instance = _maybe_copy(self, copy)
-3698        instance.set("default", maybe_parse(condition, copy=copy, **opts))
-3699        return instance
+            
    3828    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
+3829        instance = _maybe_copy(self, copy)
+3830        instance.set("default", maybe_parse(condition, copy=copy, **opts))
+3831        return instance
 
    
 
 
@@ -35351,23 +35871,23 @@ 
    Inherited Members
    
 
     
    
     
-            
    3702class Cast(Func):
-3703    arg_types = {"this": True, "to": True}
-3704
-3705    @property
-3706    def name(self) -> str:
-3707        return self.this.name
-3708
-3709    @property
-3710    def to(self):
-3711        return self.args["to"]
-3712
-3713    @property
-3714    def output_name(self):
-3715        return self.name
-3716
-3717    def is_type(self, dtype: DataType.Type) -> bool:
-3718        return self.to.is_type(dtype)
+            
    3834class Cast(Func):
+3835    arg_types = {"this": True, "to": True}
+3836
+3837    @property
+3838    def name(self) -> str:
+3839        return self.this.name
+3840
+3841    @property
+3842    def to(self) -> DataType:
+3843        return self.args["to"]
+3844
+3845    @property
+3846    def output_name(self) -> str:
+3847        return self.name
+3848
+3849    def is_type(self, dtype: DataType.Type) -> bool:
+3850        return self.to.is_type(dtype)
 
    
 
 
@@ -35375,7 +35895,7 @@ 
    Inherited Members
    
 
                             
    
                                 
    
-            output_name
+            output_name: str
 
         
     
    
@@ -35414,8 +35934,8 @@ 
    Example:
    
 
     
    
     
-            
    3717    def is_type(self, dtype: DataType.Type) -> bool:
-3718        return self.to.is_type(dtype)
+            
    3849    def is_type(self, dtype: DataType.Type) -> bool:
+3850        return self.to.is_type(dtype)
 
    
 
 
@@ -35501,8 +36021,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3721class CastToStrType(Func):
-3722    arg_types = {"this": True, "expression": True}
+            
    3853class CastToStrType(Func):
+3854    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -35588,8 +36108,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3725class Collate(Binary):
-3726    pass
+            
    3857class Collate(Binary):
+3858    pass
 
    
 
 
@@ -35668,8 +36188,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3729class TryCast(Cast):
-3730    pass
+            
    3861class TryCast(Cast):
+3862    pass
 
    
 
 
@@ -35759,9 +36279,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3733class Ceil(Func):
-3734    arg_types = {"this": True, "decimals": False}
-3735    _sql_names = ["CEIL", "CEILING"]
+            
    3865class Ceil(Func):
+3866    arg_types = {"this": True, "decimals": False}
+3867    _sql_names = ["CEIL", "CEILING"]
 
    
 
 
@@ -35847,9 +36367,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3738class Coalesce(Func):
-3739    arg_types = {"this": True, "expressions": False}
-3740    is_var_len_args = True
+            
    3870class Coalesce(Func):
+3871    arg_types = {"this": True, "expressions": False}
+3872    is_var_len_args = True
 
    
 
 
@@ -35935,9 +36455,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3743class Concat(Func):
-3744    arg_types = {"expressions": True}
-3745    is_var_len_args = True
+            
    3875class Concat(Func):
+3876    arg_types = {"expressions": True}
+3877    is_var_len_args = True
 
    
 
 
@@ -36023,8 +36543,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3748class ConcatWs(Concat):
-3749    _sql_names = ["CONCAT_WS"]
+            
    3880class ConcatWs(Concat):
+3881    _sql_names = ["CONCAT_WS"]
 
    
 
 
@@ -36110,8 +36630,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3752class Count(AggFunc):
-3753    arg_types = {"this": False}
+            
    3884class Count(AggFunc):
+3885    arg_types = {"this": False}
 
    
 
 
@@ -36197,8 +36717,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3756class CountIf(AggFunc):
-3757    pass
+            
    3888class CountIf(AggFunc):
+3889    pass
 
    
 
 
@@ -36284,8 +36804,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3760class CurrentDate(Func):
-3761    arg_types = {"this": False}
+            
    3892class CurrentDate(Func):
+3893    arg_types = {"this": False}
 
    
 
 
@@ -36371,8 +36891,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3764class CurrentDatetime(Func):
-3765    arg_types = {"this": False}
+            
    3896class CurrentDatetime(Func):
+3897    arg_types = {"this": False}
 
    
 
 
@@ -36458,8 +36978,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3768class CurrentTime(Func):
-3769    arg_types = {"this": False}
+            
    3900class CurrentTime(Func):
+3901    arg_types = {"this": False}
 
    
 
 
@@ -36545,8 +37065,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3772class CurrentTimestamp(Func):
-3773    arg_types = {"this": False}
+            
    3904class CurrentTimestamp(Func):
+3905    arg_types = {"this": False}
 
    
 
 
@@ -36632,8 +37152,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3776class CurrentUser(Func):
-3777    arg_types = {"this": False}
+            
    3908class CurrentUser(Func):
+3909    arg_types = {"this": False}
 
    
 
 
@@ -36719,8 +37239,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3780class DateAdd(Func, TimeUnit):
-3781    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3912class DateAdd(Func, TimeUnit):
+3913    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -36809,8 +37329,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3784class DateSub(Func, TimeUnit):
-3785    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3916class DateSub(Func, TimeUnit):
+3917    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -36899,9 +37419,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3788class DateDiff(Func, TimeUnit):
-3789    _sql_names = ["DATEDIFF", "DATE_DIFF"]
-3790    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3920class DateDiff(Func, TimeUnit):
+3921    _sql_names = ["DATEDIFF", "DATE_DIFF"]
+3922    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -36990,8 +37510,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3793class DateTrunc(Func):
-3794    arg_types = {"unit": True, "this": True, "zone": False}
+            
    3925class DateTrunc(Func):
+3926    arg_types = {"unit": True, "this": True, "zone": False}
 
    
 
 
@@ -37077,8 +37597,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3797class DatetimeAdd(Func, TimeUnit):
-3798    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3929class DatetimeAdd(Func, TimeUnit):
+3930    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -37167,8 +37687,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3801class DatetimeSub(Func, TimeUnit):
-3802    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3933class DatetimeSub(Func, TimeUnit):
+3934    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -37257,8 +37777,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3805class DatetimeDiff(Func, TimeUnit):
-3806    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3937class DatetimeDiff(Func, TimeUnit):
+3938    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -37347,8 +37867,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3809class DatetimeTrunc(Func, TimeUnit):
-3810    arg_types = {"this": True, "unit": True, "zone": False}
+            
    3941class DatetimeTrunc(Func, TimeUnit):
+3942    arg_types = {"this": True, "unit": True, "zone": False}
 
    
 
 
@@ -37437,8 +37957,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3813class DayOfWeek(Func):
-3814    _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"]
+            
    3945class DayOfWeek(Func):
+3946    _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"]
 
    
 
 
@@ -37524,8 +38044,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3817class DayOfMonth(Func):
-3818    _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"]
+            
    3949class DayOfMonth(Func):
+3950    _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"]
 
    
 
 
@@ -37611,8 +38131,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3821class DayOfYear(Func):
-3822    _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"]
+            
    3953class DayOfYear(Func):
+3954    _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"]
 
    
 
 
@@ -37698,8 +38218,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3825class WeekOfYear(Func):
-3826    _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"]
+            
    3957class WeekOfYear(Func):
+3958    _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"]
 
    
 
 
@@ -37785,8 +38305,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3829class LastDateOfMonth(Func):
-3830    pass
+            
    3961class LastDateOfMonth(Func):
+3962    pass
 
    
 
 
@@ -37872,8 +38392,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3833class Extract(Func):
-3834    arg_types = {"this": True, "expression": True}
+            
    3965class Extract(Func):
+3966    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -37959,8 +38479,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3837class TimestampAdd(Func, TimeUnit):
-3838    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3969class TimestampAdd(Func, TimeUnit):
+3970    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38049,8 +38569,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3841class TimestampSub(Func, TimeUnit):
-3842    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3973class TimestampSub(Func, TimeUnit):
+3974    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38139,8 +38659,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3845class TimestampDiff(Func, TimeUnit):
-3846    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3977class TimestampDiff(Func, TimeUnit):
+3978    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38229,8 +38749,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3849class TimestampTrunc(Func, TimeUnit):
-3850    arg_types = {"this": True, "unit": True, "zone": False}
+            
    3981class TimestampTrunc(Func, TimeUnit):
+3982    arg_types = {"this": True, "unit": True, "zone": False}
 
    
 
 
@@ -38319,8 +38839,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3853class TimeAdd(Func, TimeUnit):
-3854    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3985class TimeAdd(Func, TimeUnit):
+3986    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38409,8 +38929,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3857class TimeSub(Func, TimeUnit):
-3858    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3989class TimeSub(Func, TimeUnit):
+3990    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38499,8 +39019,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3861class TimeDiff(Func, TimeUnit):
-3862    arg_types = {"this": True, "expression": True, "unit": False}
+            
    3993class TimeDiff(Func, TimeUnit):
+3994    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38589,8 +39109,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3865class TimeTrunc(Func, TimeUnit):
-3866    arg_types = {"this": True, "unit": True, "zone": False}
+            
    3997class TimeTrunc(Func, TimeUnit):
+3998    arg_types = {"this": True, "unit": True, "zone": False}
 
    
 
 
@@ -38679,9 +39199,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3869class DateFromParts(Func):
-3870    _sql_names = ["DATEFROMPARTS"]
-3871    arg_types = {"year": True, "month": True, "day": True}
+            
    4001class DateFromParts(Func):
+4002    _sql_names = ["DATEFROMPARTS"]
+4003    arg_types = {"year": True, "month": True, "day": True}
 
    
 
 
@@ -38767,8 +39287,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3874class DateStrToDate(Func):
-3875    pass
+            
    4006class DateStrToDate(Func):
+4007    pass
 
    
 
 
@@ -38854,8 +39374,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3878class DateToDateStr(Func):
-3879    pass
+            
    4010class DateToDateStr(Func):
+4011    pass
 
    
 
 
@@ -38941,8 +39461,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3882class DateToDi(Func):
-3883    pass
+            
    4014class DateToDi(Func):
+4015    pass
 
    
 
 
@@ -39028,8 +39548,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3886class Day(Func):
-3887    pass
+            
    4018class Day(Func):
+4019    pass
 
    
 
 
@@ -39115,8 +39635,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3890class Decode(Func):
-3891    arg_types = {"this": True, "charset": True, "replace": False}
+            
    4022class Decode(Func):
+4023    arg_types = {"this": True, "charset": True, "replace": False}
 
    
 
 
@@ -39202,8 +39722,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3894class DiToDate(Func):
-3895    pass
+            
    4026class DiToDate(Func):
+4027    pass
 
    
 
 
@@ -39289,8 +39809,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3898class Encode(Func):
-3899    arg_types = {"this": True, "charset": True}
+            
    4030class Encode(Func):
+4031    arg_types = {"this": True, "charset": True}
 
    
 
 
@@ -39376,8 +39896,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3902class Exp(Func):
-3903    pass
+            
    4034class Exp(Func):
+4035    pass
 
    
 
 
@@ -39463,8 +39983,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3906class Explode(Func):
-3907    pass
+            
    4038class Explode(Func):
+4039    pass
 
    
 
 
@@ -39550,8 +40070,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3910class Floor(Func):
-3911    arg_types = {"this": True, "decimals": False}
+            
    4042class Floor(Func):
+4043    arg_types = {"this": True, "decimals": False}
 
    
 
 
@@ -39637,8 +40157,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3914class FromBase64(Func):
-3915    pass
+            
    4046class FromBase64(Func):
+4047    pass
 
    
 
 
@@ -39724,8 +40244,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3918class ToBase64(Func):
-3919    pass
+            
    4050class ToBase64(Func):
+4051    pass
 
    
 
 
@@ -39811,9 +40331,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3922class Greatest(Func):
-3923    arg_types = {"this": True, "expressions": False}
-3924    is_var_len_args = True
+            
    4054class Greatest(Func):
+4055    arg_types = {"this": True, "expressions": False}
+4056    is_var_len_args = True
 
    
 
 
@@ -39899,8 +40419,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3927class GroupConcat(Func):
-3928    arg_types = {"this": True, "separator": False}
+            
    4059class GroupConcat(Func):
+4060    arg_types = {"this": True, "separator": False}
 
    
 
 
@@ -39986,8 +40506,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3931class Hex(Func):
-3932    pass
+            
    4063class Hex(Func):
+4064    pass
 
    
 
 
@@ -40073,8 +40593,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3935class If(Func):
-3936    arg_types = {"this": True, "true": True, "false": False}
+            
    4067class If(Func):
+4068    arg_types = {"this": True, "true": True, "false": False}
 
    
 
 
@@ -40160,9 +40680,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3939class IfNull(Func):
-3940    arg_types = {"this": True, "expression": False}
-3941    _sql_names = ["IFNULL", "NVL"]
+            
    4071class IfNull(Func):
+4072    arg_types = {"this": True, "expression": False}
+4073    _sql_names = ["IFNULL", "NVL"]
 
    
 
 
@@ -40248,8 +40768,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3944class Initcap(Func):
-3945    arg_types = {"this": True, "expression": False}
+            
    4076class Initcap(Func):
+4077    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -40335,8 +40855,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3948class JSONKeyValue(Expression):
-3949    arg_types = {"this": True, "expression": True}
+            
    4080class JSONKeyValue(Expression):
+4081    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -40400,15 +40920,15 @@ 
    Inherited Members
    
 
     
    
     
-            
    3952class JSONObject(Func):
-3953    arg_types = {
-3954        "expressions": False,
-3955        "null_handling": False,
-3956        "unique_keys": False,
-3957        "return_type": False,
-3958        "format_json": False,
-3959        "encoding": False,
-3960    }
+            
    4084class JSONObject(Func):
+4085    arg_types = {
+4086        "expressions": False,
+4087        "null_handling": False,
+4088        "unique_keys": False,
+4089        "return_type": False,
+4090        "format_json": False,
+4091        "encoding": False,
+4092    }
 
    
 
 
@@ -40494,8 +41014,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3963class OpenJSONColumnDef(Expression):
-3964    arg_types = {"this": True, "kind": True, "path": False, "as_json": False}
+            
    4095class OpenJSONColumnDef(Expression):
+4096    arg_types = {"this": True, "kind": True, "path": False, "as_json": False}
 
    
 
 
@@ -40559,8 +41079,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3967class OpenJSON(Func):
-3968    arg_types = {"this": True, "path": False, "expressions": False}
+            
    4099class OpenJSON(Func):
+4100    arg_types = {"this": True, "path": False, "expressions": False}
 
    
 
 
@@ -40646,8 +41166,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3971class JSONBContains(Binary):
-3972    _sql_names = ["JSONB_CONTAINS"]
+            
    4103class JSONBContains(Binary):
+4104    _sql_names = ["JSONB_CONTAINS"]
 
    
 
 
@@ -40726,8 +41246,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3975class JSONExtract(Binary, Func):
-3976    _sql_names = ["JSON_EXTRACT"]
+            
    4107class JSONExtract(Binary, Func):
+4108    _sql_names = ["JSON_EXTRACT"]
 
    
 
 
@@ -40813,8 +41333,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3979class JSONExtractScalar(JSONExtract):
-3980    _sql_names = ["JSON_EXTRACT_SCALAR"]
+            
    4111class JSONExtractScalar(JSONExtract):
+4112    _sql_names = ["JSON_EXTRACT_SCALAR"]
 
    
 
 
@@ -40900,8 +41420,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3983class JSONBExtract(JSONExtract):
-3984    _sql_names = ["JSONB_EXTRACT"]
+            
    4115class JSONBExtract(JSONExtract):
+4116    _sql_names = ["JSONB_EXTRACT"]
 
    
 
 
@@ -40987,8 +41507,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    3987class JSONBExtractScalar(JSONExtract):
-3988    _sql_names = ["JSONB_EXTRACT_SCALAR"]
+            
    4119class JSONBExtractScalar(JSONExtract):
+4120    _sql_names = ["JSONB_EXTRACT_SCALAR"]
 
    
 
 
@@ -41074,9 +41594,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3991class JSONFormat(Func):
-3992    arg_types = {"this": False, "options": False}
-3993    _sql_names = ["JSON_FORMAT"]
+            
    4123class JSONFormat(Func):
+4124    arg_types = {"this": False, "options": False}
+4125    _sql_names = ["JSON_FORMAT"]
 
    
 
 
@@ -41162,9 +41682,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    3996class Least(Func):
-3997    arg_types = {"expressions": False}
-3998    is_var_len_args = True
+            
    4128class Least(Func):
+4129    arg_types = {"expressions": False}
+4130    is_var_len_args = True
 
    
 
 
@@ -41250,8 +41770,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4001class Length(Func):
-4002    pass
+            
    4133class Length(Func):
+4134    pass
 
    
 
 
@@ -41337,14 +41857,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    4005class Levenshtein(Func):
-4006    arg_types = {
-4007        "this": True,
-4008        "expression": False,
-4009        "ins_cost": False,
-4010        "del_cost": False,
-4011        "sub_cost": False,
-4012    }
+            
    4137class Levenshtein(Func):
+4138    arg_types = {
+4139        "this": True,
+4140        "expression": False,
+4141        "ins_cost": False,
+4142        "del_cost": False,
+4143        "sub_cost": False,
+4144    }
 
    
 
 
@@ -41430,8 +41950,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4015class Ln(Func):
-4016    pass
+            
    4147class Ln(Func):
+4148    pass
 
    
 
 
@@ -41517,8 +42037,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4019class Log(Func):
-4020    arg_types = {"this": True, "expression": False}
+            
    4151class Log(Func):
+4152    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -41604,8 +42124,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4023class Log2(Func):
-4024    pass
+            
    4155class Log2(Func):
+4156    pass
 
    
 
 
@@ -41691,8 +42211,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4027class Log10(Func):
-4028    pass
+            
    4159class Log10(Func):
+4160    pass
 
    
 
 
@@ -41778,8 +42298,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4031class LogicalOr(AggFunc):
-4032    _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"]
+            
    4163class LogicalOr(AggFunc):
+4164    _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"]
 
    
 
 
@@ -41865,8 +42385,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4035class LogicalAnd(AggFunc):
-4036    _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"]
+            
    4167class LogicalAnd(AggFunc):
+4168    _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"]
 
    
 
 
@@ -41952,8 +42472,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4039class Lower(Func):
-4040    _sql_names = ["LOWER", "LCASE"]
+            
    4171class Lower(Func):
+4172    _sql_names = ["LOWER", "LCASE"]
 
    
 
 
@@ -42039,8 +42559,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4043class Map(Func):
-4044    arg_types = {"keys": False, "values": False}
+            
    4175class Map(Func):
+4176    arg_types = {"keys": False, "values": False}
 
    
 
 
@@ -42126,8 +42646,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4047class StarMap(Func):
-4048    pass
+            
    4179class StarMap(Func):
+4180    pass
 
    
 
 
@@ -42213,9 +42733,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    4051class VarMap(Func):
-4052    arg_types = {"keys": True, "values": True}
-4053    is_var_len_args = True
+            
    4183class VarMap(Func):
+4184    arg_types = {"keys": True, "values": True}
+4185    is_var_len_args = True
 
    
 
 
@@ -42301,8 +42821,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4057class MatchAgainst(Func):
-4058    arg_types = {"this": True, "expressions": True, "modifier": False}
+            
    4189class MatchAgainst(Func):
+4190    arg_types = {"this": True, "expressions": True, "modifier": False}
 
    
 
 
@@ -42388,9 +42908,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    4061class Max(AggFunc):
-4062    arg_types = {"this": True, "expressions": False}
-4063    is_var_len_args = True
+            
    4193class Max(AggFunc):
+4194    arg_types = {"this": True, "expressions": False}
+4195    is_var_len_args = True
 
    
 
 
@@ -42476,8 +42996,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4066class MD5(Func):
-4067    _sql_names = ["MD5"]
+            
    4198class MD5(Func):
+4199    _sql_names = ["MD5"]
 
    
 
 
@@ -42563,9 +43083,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    4070class Min(AggFunc):
-4071    arg_types = {"this": True, "expressions": False}
-4072    is_var_len_args = True
+            
    4202class Min(AggFunc):
+4203    arg_types = {"this": True, "expressions": False}
+4204    is_var_len_args = True
 
    
 
 
@@ -42651,8 +43171,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4075class Month(Func):
-4076    pass
+            
    4207class Month(Func):
+4208    pass
 
    
 
 
@@ -42738,8 +43258,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4079class Nvl2(Func):
-4080    arg_types = {"this": True, "true": True, "false": False}
+            
    4211class Nvl2(Func):
+4212    arg_types = {"this": True, "true": True, "false": False}
 
    
 
 
@@ -42825,8 +43345,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4083class Posexplode(Func):
-4084    pass
+            
    4215class Posexplode(Func):
+4216    pass
 
    
 
 
@@ -42912,8 +43432,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4087class Pow(Binary, Func):
-4088    _sql_names = ["POWER", "POW"]
+            
    4219class Pow(Binary, Func):
+4220    _sql_names = ["POWER", "POW"]
 
    
 
 
@@ -42999,8 +43519,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4091class PercentileCont(AggFunc):
-4092    arg_types = {"this": True, "expression": False}
+            
    4223class PercentileCont(AggFunc):
+4224    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -43086,8 +43606,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4095class PercentileDisc(AggFunc):
-4096    arg_types = {"this": True, "expression": False}
+            
    4227class PercentileDisc(AggFunc):
+4228    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -43173,8 +43693,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4099class Quantile(AggFunc):
-4100    arg_types = {"this": True, "quantile": True}
+            
    4231class Quantile(AggFunc):
+4232    arg_types = {"this": True, "quantile": True}
 
    
 
 
@@ -43260,8 +43780,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4103class ApproxQuantile(Quantile):
-4104    arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False}
+            
    4235class ApproxQuantile(Quantile):
+4236    arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False}
 
    
 
 
@@ -43347,8 +43867,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4107class RangeN(Func):
-4108    arg_types = {"this": True, "expressions": True, "each": False}
+            
    4239class RangeN(Func):
+4240    arg_types = {"this": True, "expressions": True, "each": False}
 
    
 
 
@@ -43434,10 +43954,10 @@ 
    Inherited Members
    
 
     
    
     
-            
    4111class ReadCSV(Func):
-4112    _sql_names = ["READ_CSV"]
-4113    is_var_len_args = True
-4114    arg_types = {"this": True, "expressions": False}
+            
    4243class ReadCSV(Func):
+4244    _sql_names = ["READ_CSV"]
+4245    is_var_len_args = True
+4246    arg_types = {"this": True, "expressions": False}
 
    
 
 
@@ -43523,8 +44043,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4117class Reduce(Func):
-4118    arg_types = {"this": True, "initial": True, "merge": True, "finish": False}
+            
    4249class Reduce(Func):
+4250    arg_types = {"this": True, "initial": True, "merge": True, "finish": False}
 
    
 
 
@@ -43610,14 +44130,14 @@ 
    Inherited Members
    
 
     
    
     
-            
    4121class RegexpExtract(Func):
-4122    arg_types = {
-4123        "this": True,
-4124        "expression": True,
-4125        "position": False,
-4126        "occurrence": False,
-4127        "group": False,
-4128    }
+            
    4253class RegexpExtract(Func):
+4254    arg_types = {
+4255        "this": True,
+4256        "expression": True,
+4257        "position": False,
+4258        "occurrence": False,
+4259        "group": False,
+4260    }
 
    
 
 
@@ -43703,8 +44223,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4131class RegexpLike(Func):
-4132    arg_types = {"this": True, "expression": True, "flag": False}
+            
    4263class RegexpLike(Func):
+4264    arg_types = {"this": True, "expression": True, "flag": False}
 
    
 
 
@@ -43790,8 +44310,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4135class RegexpILike(Func):
-4136    arg_types = {"this": True, "expression": True, "flag": False}
+            
    4267class RegexpILike(Func):
+4268    arg_types = {"this": True, "expression": True, "flag": False}
 
    
 
 
@@ -43877,8 +44397,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4141class RegexpSplit(Func):
-4142    arg_types = {"this": True, "expression": True, "limit": False}
+            
    4273class RegexpSplit(Func):
+4274    arg_types = {"this": True, "expression": True, "limit": False}
 
    
 
 
@@ -43964,8 +44484,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4145class Repeat(Func):
-4146    arg_types = {"this": True, "times": True}
+            
    4277class Repeat(Func):
+4278    arg_types = {"this": True, "times": True}
 
    
 
 
@@ -44051,8 +44571,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4149class Round(Func):
-4150    arg_types = {"this": True, "decimals": False}
+            
    4281class Round(Func):
+4282    arg_types = {"this": True, "decimals": False}
 
    
 
 
@@ -44138,8 +44658,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4153class RowNumber(Func):
-4154    arg_types: t.Dict[str, t.Any] = {}
+            
    4285class RowNumber(Func):
+4286    arg_types: t.Dict[str, t.Any] = {}
 
    
 
 
@@ -44225,8 +44745,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4157class SafeDivide(Func):
-4158    arg_types = {"this": True, "expression": True}
+            
    4289class SafeDivide(Func):
+4290    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -44312,8 +44832,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4161class SetAgg(AggFunc):
-4162    pass
+            
    4293class SetAgg(AggFunc):
+4294    pass
 
    
 
 
@@ -44399,8 +44919,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4165class SHA(Func):
-4166    _sql_names = ["SHA", "SHA1"]
+            
    4297class SHA(Func):
+4298    _sql_names = ["SHA", "SHA1"]
 
    
 
 
@@ -44486,9 +45006,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    4169class SHA2(Func):
-4170    _sql_names = ["SHA2"]
-4171    arg_types = {"this": True, "length": False}
+            
    4301class SHA2(Func):
+4302    _sql_names = ["SHA2"]
+4303    arg_types = {"this": True, "length": False}
 
    
 
 
@@ -44574,8 +45094,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4174class SortArray(Func):
-4175    arg_types = {"this": True, "asc": False}
+            
    4306class SortArray(Func):
+4307    arg_types = {"this": True, "asc": False}
 
    
 
 
@@ -44661,8 +45181,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4178class Split(Func):
-4179    arg_types = {"this": True, "expression": True, "limit": False}
+            
    4310class Split(Func):
+4311    arg_types = {"this": True, "expression": True, "limit": False}
 
    
 
 
@@ -44748,8 +45268,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4184class Substring(Func):
-4185    arg_types = {"this": True, "start": False, "length": False}
+            
    4316class Substring(Func):
+4317    arg_types = {"this": True, "start": False, "length": False}
 
    
 
 
@@ -44835,8 +45355,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4188class StandardHash(Func):
-4189    arg_types = {"this": True, "expression": False}
+            
    4320class StandardHash(Func):
+4321    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -44922,13 +45442,13 @@ 
    Inherited Members
    
 
     
    
     
-            
    4192class StrPosition(Func):
-4193    arg_types = {
-4194        "this": True,
-4195        "substr": True,
-4196        "position": False,
-4197        "instance": False,
-4198    }
+            
    4324class StrPosition(Func):
+4325    arg_types = {
+4326        "this": True,
+4327        "substr": True,
+4328        "position": False,
+4329        "instance": False,
+4330    }
 
    
 
 
@@ -45014,8 +45534,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4201class StrToDate(Func):
-4202    arg_types = {"this": True, "format": True}
+            
    4333class StrToDate(Func):
+4334    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -45101,8 +45621,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4205class StrToTime(Func):
-4206    arg_types = {"this": True, "format": True}
+            
    4337class StrToTime(Func):
+4338    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -45188,8 +45708,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4211class StrToUnix(Func):
-4212    arg_types = {"this": False, "format": False}
+            
    4343class StrToUnix(Func):
+4344    arg_types = {"this": False, "format": False}
 
    
 
 
@@ -45275,8 +45795,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4215class NumberToStr(Func):
-4216    arg_types = {"this": True, "format": True}
+            
    4347class NumberToStr(Func):
+4348    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -45362,9 +45882,9 @@ 
    Inherited Members
    
 
     
    
     
-            
    4219class Struct(Func):
-4220    arg_types = {"expressions": True}
-4221    is_var_len_args = True
+            
    4351class Struct(Func):
+4352    arg_types = {"expressions": True}
+4353    is_var_len_args = True
 
    
 
 
@@ -45450,8 +45970,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4224class StructExtract(Func):
-4225    arg_types = {"this": True, "expression": True}
+            
    4356class StructExtract(Func):
+4357    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -45537,8 +46057,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4228class Sum(AggFunc):
-4229    pass
+            
    4360class Sum(AggFunc):
+4361    pass
 
    
 
 
@@ -45624,8 +46144,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4232class Sqrt(Func):
-4233    pass
+            
    4364class Sqrt(Func):
+4365    pass
 
    
 
 
@@ -45711,8 +46231,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4236class Stddev(AggFunc):
-4237    pass
+            
    4368class Stddev(AggFunc):
+4369    pass
 
    
 
 
@@ -45798,8 +46318,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4240class StddevPop(AggFunc):
-4241    pass
+            
    4372class StddevPop(AggFunc):
+4373    pass
 
    
 
 
@@ -45885,8 +46405,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4244class StddevSamp(AggFunc):
-4245    pass
+            
    4376class StddevSamp(AggFunc):
+4377    pass
 
    
 
 
@@ -45972,8 +46492,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4248class TimeToStr(Func):
-4249    arg_types = {"this": True, "format": True}
+            
    4380class TimeToStr(Func):
+4381    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -46059,8 +46579,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4252class TimeToTimeStr(Func):
-4253    pass
+            
    4384class TimeToTimeStr(Func):
+4385    pass
 
    
 
 
@@ -46146,8 +46666,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4256class TimeToUnix(Func):
-4257    pass
+            
    4388class TimeToUnix(Func):
+4389    pass
 
    
 
 
@@ -46233,8 +46753,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4260class TimeStrToDate(Func):
-4261    pass
+            
    4392class TimeStrToDate(Func):
+4393    pass
 
    
 
 
@@ -46320,8 +46840,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4264class TimeStrToTime(Func):
-4265    pass
+            
    4396class TimeStrToTime(Func):
+4397    pass
 
    
 
 
@@ -46407,8 +46927,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4268class TimeStrToUnix(Func):
-4269    pass
+            
    4400class TimeStrToUnix(Func):
+4401    pass
 
    
 
 
@@ -46494,13 +47014,13 @@ 
    Inherited Members
    
 
     
    
     
-            
    4272class Trim(Func):
-4273    arg_types = {
-4274        "this": True,
-4275        "expression": False,
-4276        "position": False,
-4277        "collation": False,
-4278    }
+            
    4404class Trim(Func):
+4405    arg_types = {
+4406        "this": True,
+4407        "expression": False,
+4408        "position": False,
+4409        "collation": False,
+4410    }
 
    
 
 
@@ -46586,8 +47106,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4281class TsOrDsAdd(Func, TimeUnit):
-4282    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4413class TsOrDsAdd(Func, TimeUnit):
+4414    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -46676,8 +47196,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4285class TsOrDsToDateStr(Func):
-4286    pass
+            
    4417class TsOrDsToDateStr(Func):
+4418    pass
 
    
 
 
@@ -46763,8 +47283,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4289class TsOrDsToDate(Func):
-4290    arg_types = {"this": True, "format": False}
+            
    4421class TsOrDsToDate(Func):
+4422    arg_types = {"this": True, "format": False}
 
    
 
 
@@ -46850,8 +47370,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4293class TsOrDiToDi(Func):
-4294    pass
+            
    4425class TsOrDiToDi(Func):
+4426    pass
 
    
 
 
@@ -46937,8 +47457,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4297class Unhex(Func):
-4298    pass
+            
    4429class Unhex(Func):
+4430    pass
 
    
 
 
@@ -47024,8 +47544,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4301class UnixToStr(Func):
-4302    arg_types = {"this": True, "format": False}
+            
    4433class UnixToStr(Func):
+4434    arg_types = {"this": True, "format": False}
 
    
 
 
@@ -47111,12 +47631,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    4307class UnixToTime(Func):
-4308    arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False}
-4309
-4310    SECONDS = Literal.string("seconds")
-4311    MILLIS = Literal.string("millis")
-4312    MICROS = Literal.string("micros")
+            
    4439class UnixToTime(Func):
+4440    arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False}
+4441
+4442    SECONDS = Literal.string("seconds")
+4443    MILLIS = Literal.string("millis")
+4444    MICROS = Literal.string("micros")
 
    
 
 
@@ -47202,8 +47722,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4315class UnixToTimeStr(Func):
-4316    pass
+            
    4447class UnixToTimeStr(Func):
+4448    pass
 
    
 
 
@@ -47289,8 +47809,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4319class Upper(Func):
-4320    _sql_names = ["UPPER", "UCASE"]
+            
    4451class Upper(Func):
+4452    _sql_names = ["UPPER", "UCASE"]
 
    
 
 
@@ -47376,8 +47896,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4323class Variance(AggFunc):
-4324    _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"]
+            
    4455class Variance(AggFunc):
+4456    _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"]
 
    
 
 
@@ -47463,8 +47983,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4327class VariancePop(AggFunc):
-4328    _sql_names = ["VARIANCE_POP", "VAR_POP"]
+            
    4459class VariancePop(AggFunc):
+4460    _sql_names = ["VARIANCE_POP", "VAR_POP"]
 
    
 
 
@@ -47550,8 +48070,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4331class Week(Func):
-4332    arg_types = {"this": True, "mode": False}
+            
    4463class Week(Func):
+4464    arg_types = {"this": True, "mode": False}
 
    
 
 
@@ -47637,8 +48157,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4335class XMLTable(Func):
-4336    arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False}
+            
    4467class XMLTable(Func):
+4468    arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False}
 
    
 
 
@@ -47724,8 +48244,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4339class Year(Func):
-4340    pass
+            
    4471class Year(Func):
+4472    pass
 
    
 
 
@@ -47811,8 +48331,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4343class Use(Expression):
-4344    arg_types = {"this": True, "kind": False}
+            
    4475class Use(Expression):
+4476    arg_types = {"this": True, "kind": False}
 
    
 
 
@@ -47876,8 +48396,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4347class Merge(Expression):
-4348    arg_types = {"this": True, "using": True, "on": True, "expressions": True}
+            
    4479class Merge(Expression):
+4480    arg_types = {"this": True, "using": True, "on": True, "expressions": True}
 
    
 
 
@@ -47941,8 +48461,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4351class When(Func):
-4352    arg_types = {"matched": True, "source": False, "condition": False, "then": True}
+            
    4483class When(Func):
+4484    arg_types = {"matched": True, "source": False, "condition": False, "then": True}
 
    
 
 
@@ -48028,8 +48548,8 @@ 
    Inherited Members
    
 
     
    
     
-            
    4357class NextValueFor(Func):
-4358    arg_types = {"this": True, "order": False}
+            
    4489class NextValueFor(Func):
+4490    arg_types = {"this": True, "order": False}
 
    
 
 
@@ -48115,48 +48635,48 @@ 
    Inherited Members
    
 
     
    
     
-            
    4395def maybe_parse(
-4396    sql_or_expression: ExpOrStr,
-4397    *,
-4398    into: t.Optional[IntoType] = None,
-4399    dialect: DialectType = None,
-4400    prefix: t.Optional[str] = None,
-4401    copy: bool = False,
-4402    **opts,
-4403) -> Expression:
-4404    """Gracefully handle a possible string or expression.
-4405
-4406    Example:
-4407        >>> maybe_parse("1")
-4408        (LITERAL this: 1, is_string: False)
-4409        >>> maybe_parse(to_identifier("x"))
-4410        (IDENTIFIER this: x, quoted: False)
-4411
-4412    Args:
-4413        sql_or_expression: the SQL code string or an expression
-4414        into: the SQLGlot Expression to parse into
-4415        dialect: the dialect used to parse the input expressions (in the case that an
-4416            input expression is a SQL string).
-4417        prefix: a string to prefix the sql with before it gets parsed
-4418            (automatically includes a space)
-4419        copy: whether or not to copy the expression.
-4420        **opts: other options to use to parse the input expressions (again, in the case
-4421            that an input expression is a SQL string).
-4422
-4423    Returns:
-4424        Expression: the parsed or given expression.
-4425    """
-4426    if isinstance(sql_or_expression, Expression):
-4427        if copy:
-4428            return sql_or_expression.copy()
-4429        return sql_or_expression
-4430
-4431    import sqlglot
-4432
-4433    sql = str(sql_or_expression)
-4434    if prefix:
-4435        sql = f"{prefix} {sql}"
-4436    return sqlglot.parse_one(sql, read=dialect, into=into, **opts)
+            
    4527def maybe_parse(
+4528    sql_or_expression: ExpOrStr,
+4529    *,
+4530    into: t.Optional[IntoType] = None,
+4531    dialect: DialectType = None,
+4532    prefix: t.Optional[str] = None,
+4533    copy: bool = False,
+4534    **opts,
+4535) -> Expression:
+4536    """Gracefully handle a possible string or expression.
+4537
+4538    Example:
+4539        >>> maybe_parse("1")
+4540        (LITERAL this: 1, is_string: False)
+4541        >>> maybe_parse(to_identifier("x"))
+4542        (IDENTIFIER this: x, quoted: False)
+4543
+4544    Args:
+4545        sql_or_expression: the SQL code string or an expression
+4546        into: the SQLGlot Expression to parse into
+4547        dialect: the dialect used to parse the input expressions (in the case that an
+4548            input expression is a SQL string).
+4549        prefix: a string to prefix the sql with before it gets parsed
+4550            (automatically includes a space)
+4551        copy: whether or not to copy the expression.
+4552        **opts: other options to use to parse the input expressions (again, in the case
+4553            that an input expression is a SQL string).
+4554
+4555    Returns:
+4556        Expression: the parsed or given expression.
+4557    """
+4558    if isinstance(sql_or_expression, Expression):
+4559        if copy:
+4560            return sql_or_expression.copy()
+4561        return sql_or_expression
+4562
+4563    import sqlglot
+4564
+4565    sql = str(sql_or_expression)
+4566    if prefix:
+4567        sql = f"{prefix} {sql}"
+4568    return sqlglot.parse_one(sql, read=dialect, into=into, **opts)
 
    
 
 
@@ -48202,35 +48722,38 @@ 
    Returns:
    
 
    
             
         def
-        union(left, right, distinct=True, dialect=None, **opts):
+        union(	left: Union[str, sqlglot.expressions.Expression],	right: Union[str, sqlglot.expressions.Expression],	distinct: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	**opts) -> sqlglot.expressions.Union:
 
                 
 
     
    
     
-            
    4608def union(left, right, distinct=True, dialect=None, **opts):
-4609    """
-4610    Initializes a syntax tree from one UNION expression.
-4611
-4612    Example:
-4613        >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()
-4614        'SELECT * FROM foo UNION SELECT * FROM bla'
-4615
-4616    Args:
-4617        left (str | Expression): the SQL code string corresponding to the left-hand side.
-4618            If an `Expression` instance is passed, it will be used as-is.
-4619        right (str | Expression): the SQL code string corresponding to the right-hand side.
-4620            If an `Expression` instance is passed, it will be used as-is.
-4621        distinct (bool): set the DISTINCT flag if and only if this is true.
-4622        dialect (str): the dialect used to parse the input expression.
-4623        opts (kwargs): other options to use to parse the input expressions.
-4624    Returns:
-4625        Union: the syntax tree for the UNION expression.
-4626    """
-4627    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
-4628    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
-4629
-4630    return Union(this=left, expression=right, distinct=distinct)
+            
    4752def union(
+4753    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+4754) -> Union:
+4755    """
+4756    Initializes a syntax tree from one UNION expression.
+4757
+4758    Example:
+4759        >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()
+4760        'SELECT * FROM foo UNION SELECT * FROM bla'
+4761
+4762    Args:
+4763        left: the SQL code string corresponding to the left-hand side.
+4764            If an `Expression` instance is passed, it will be used as-is.
+4765        right: the SQL code string corresponding to the right-hand side.
+4766            If an `Expression` instance is passed, it will be used as-is.
+4767        distinct: set the DISTINCT flag if and only if this is true.
+4768        dialect: the dialect used to parse the input expression.
+4769        opts: other options to use to parse the input expressions.
+4770
+4771    Returns:
+4772        The new Union instance.
+4773    """
+4774    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
+4775    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
+4776
+4777    return Union(this=left, expression=right, distinct=distinct)
 
    
 
 
@@ -48249,19 +48772,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • left (str | Expression):  the SQL code string corresponding to the left-hand side.
+
    • left:  the SQL code string corresponding to the left-hand side.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • right (str | Expression):  the SQL code string corresponding to the right-hand side.
+
    • right:  the SQL code string corresponding to the right-hand side.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • distinct (bool):  set the DISTINCT flag if and only if this is true.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • distinct:  set the DISTINCT flag if and only if this is true.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Union: the syntax tree for the UNION expression.
    
+  
    The new Union instance.
    
 
    
 
    
 
@@ -48272,35 +48795,38 @@ 
    Returns:
    
 
    
             
         def
-        intersect(left, right, distinct=True, dialect=None, **opts):
+        intersect(	left: Union[str, sqlglot.expressions.Expression],	right: Union[str, sqlglot.expressions.Expression],	distinct: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	**opts) -> sqlglot.expressions.Intersect:
 
                 
 
     
    
     
-            
    4633def intersect(left, right, distinct=True, dialect=None, **opts):
-4634    """
-4635    Initializes a syntax tree from one INTERSECT expression.
-4636
-4637    Example:
-4638        >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()
-4639        'SELECT * FROM foo INTERSECT SELECT * FROM bla'
-4640
-4641    Args:
-4642        left (str | Expression): the SQL code string corresponding to the left-hand side.
-4643            If an `Expression` instance is passed, it will be used as-is.
-4644        right (str | Expression): the SQL code string corresponding to the right-hand side.
-4645            If an `Expression` instance is passed, it will be used as-is.
-4646        distinct (bool): set the DISTINCT flag if and only if this is true.
-4647        dialect (str): the dialect used to parse the input expression.
-4648        opts (kwargs): other options to use to parse the input expressions.
-4649    Returns:
-4650        Intersect: the syntax tree for the INTERSECT expression.
-4651    """
-4652    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
-4653    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
-4654
-4655    return Intersect(this=left, expression=right, distinct=distinct)
+            
    4780def intersect(
+4781    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+4782) -> Intersect:
+4783    """
+4784    Initializes a syntax tree from one INTERSECT expression.
+4785
+4786    Example:
+4787        >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()
+4788        'SELECT * FROM foo INTERSECT SELECT * FROM bla'
+4789
+4790    Args:
+4791        left: the SQL code string corresponding to the left-hand side.
+4792            If an `Expression` instance is passed, it will be used as-is.
+4793        right: the SQL code string corresponding to the right-hand side.
+4794            If an `Expression` instance is passed, it will be used as-is.
+4795        distinct: set the DISTINCT flag if and only if this is true.
+4796        dialect: the dialect used to parse the input expression.
+4797        opts: other options to use to parse the input expressions.
+4798
+4799    Returns:
+4800        The new Intersect instance.
+4801    """
+4802    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
+4803    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
+4804
+4805    return Intersect(this=left, expression=right, distinct=distinct)
 
    
 
 
@@ -48319,19 +48845,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • left (str | Expression):  the SQL code string corresponding to the left-hand side.
+
    • left:  the SQL code string corresponding to the left-hand side.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • right (str | Expression):  the SQL code string corresponding to the right-hand side.
+
    • right:  the SQL code string corresponding to the right-hand side.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • distinct (bool):  set the DISTINCT flag if and only if this is true.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • distinct:  set the DISTINCT flag if and only if this is true.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Intersect: the syntax tree for the INTERSECT expression.
    
+  
    The new Intersect instance.
    
 
    
 
    
 
@@ -48342,35 +48868,38 @@ 
    Returns:
    
 
    
             
         def
-        except_(left, right, distinct=True, dialect=None, **opts):
+        except_(	left: Union[str, sqlglot.expressions.Expression],	right: Union[str, sqlglot.expressions.Expression],	distinct: bool = True,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	**opts) -> sqlglot.expressions.Except:
 
                 
 
     
    
     
-            
    4658def except_(left, right, distinct=True, dialect=None, **opts):
-4659    """
-4660    Initializes a syntax tree from one EXCEPT expression.
-4661
-4662    Example:
-4663        >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()
-4664        'SELECT * FROM foo EXCEPT SELECT * FROM bla'
-4665
-4666    Args:
-4667        left (str | Expression): the SQL code string corresponding to the left-hand side.
-4668            If an `Expression` instance is passed, it will be used as-is.
-4669        right (str | Expression): the SQL code string corresponding to the right-hand side.
-4670            If an `Expression` instance is passed, it will be used as-is.
-4671        distinct (bool): set the DISTINCT flag if and only if this is true.
-4672        dialect (str): the dialect used to parse the input expression.
-4673        opts (kwargs): other options to use to parse the input expressions.
-4674    Returns:
-4675        Except: the syntax tree for the EXCEPT statement.
-4676    """
-4677    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
-4678    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
-4679
-4680    return Except(this=left, expression=right, distinct=distinct)
+            
    4808def except_(
+4809    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+4810) -> Except:
+4811    """
+4812    Initializes a syntax tree from one EXCEPT expression.
+4813
+4814    Example:
+4815        >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()
+4816        'SELECT * FROM foo EXCEPT SELECT * FROM bla'
+4817
+4818    Args:
+4819        left: the SQL code string corresponding to the left-hand side.
+4820            If an `Expression` instance is passed, it will be used as-is.
+4821        right: the SQL code string corresponding to the right-hand side.
+4822            If an `Expression` instance is passed, it will be used as-is.
+4823        distinct: set the DISTINCT flag if and only if this is true.
+4824        dialect: the dialect used to parse the input expression.
+4825        opts: other options to use to parse the input expressions.
+4826
+4827    Returns:
+4828        The new Except instance.
+4829    """
+4830    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
+4831    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
+4832
+4833    return Except(this=left, expression=right, distinct=distinct)
 
    
 
 
@@ -48389,19 +48918,19 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • left (str | Expression):  the SQL code string corresponding to the left-hand side.
+
    • left:  the SQL code string corresponding to the left-hand side.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • right (str | Expression):  the SQL code string corresponding to the right-hand side.
+
    • right:  the SQL code string corresponding to the right-hand side.
 If an Expression instance is passed, it will be used as-is.
      • 
-
    • distinct (bool):  set the DISTINCT flag if and only if this is true.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • opts (kwargs):  other options to use to parse the input expressions.
      • 
+
    • distinct:  set the DISTINCT flag if and only if this is true.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Except: the syntax tree for the EXCEPT statement.
    
+  
    The new Except instance.
    
 
    
 
    
 
@@ -48418,26 +48947,26 @@ 
    Returns:
    
 
     
    
     
-            
    4683def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
-4684    """
-4685    Initializes a syntax tree from one or multiple SELECT expressions.
-4686
-4687    Example:
-4688        >>> select("col1", "col2").from_("tbl").sql()
-4689        'SELECT col1, col2 FROM tbl'
-4690
-4691    Args:
-4692        *expressions: the SQL code string to parse as the expressions of a
-4693            SELECT statement. If an Expression instance is passed, this is used as-is.
-4694        dialect: the dialect used to parse the input expressions (in the case that an
-4695            input expression is a SQL string).
-4696        **opts: other options to use to parse the input expressions (again, in the case
-4697            that an input expression is a SQL string).
-4698
-4699    Returns:
-4700        Select: the syntax tree for the SELECT statement.
-4701    """
-4702    return Select().select(*expressions, dialect=dialect, **opts)
+            
    4836def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
+4837    """
+4838    Initializes a syntax tree from one or multiple SELECT expressions.
+4839
+4840    Example:
+4841        >>> select("col1", "col2").from_("tbl").sql()
+4842        'SELECT col1, col2 FROM tbl'
+4843
+4844    Args:
+4845        *expressions: the SQL code string to parse as the expressions of a
+4846            SELECT statement. If an Expression instance is passed, this is used as-is.
+4847        dialect: the dialect used to parse the input expressions (in the case that an
+4848            input expression is a SQL string).
+4849        **opts: other options to use to parse the input expressions (again, in the case
+4850            that an input expression is a SQL string).
+4851
+4852    Returns:
+4853        Select: the syntax tree for the SELECT statement.
+4854    """
+4855    return Select().select(*expressions, dialect=dialect, **opts)
 
    
 
 
@@ -48484,26 +49013,26 @@ 
    Returns:
    
 
     
    
     
-            
    4705def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
-4706    """
-4707    Initializes a syntax tree from a FROM expression.
-4708
-4709    Example:
-4710        >>> from_("tbl").select("col1", "col2").sql()
-4711        'SELECT col1, col2 FROM tbl'
-4712
-4713    Args:
-4714        *expression: the SQL code string to parse as the FROM expressions of a
-4715            SELECT statement. If an Expression instance is passed, this is used as-is.
-4716        dialect: the dialect used to parse the input expression (in the case that the
-4717            input expression is a SQL string).
-4718        **opts: other options to use to parse the input expressions (again, in the case
-4719            that the input expression is a SQL string).
-4720
-4721    Returns:
-4722        Select: the syntax tree for the SELECT statement.
-4723    """
-4724    return Select().from_(expression, dialect=dialect, **opts)
+            
    4858def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
+4859    """
+4860    Initializes a syntax tree from a FROM expression.
+4861
+4862    Example:
+4863        >>> from_("tbl").select("col1", "col2").sql()
+4864        'SELECT col1, col2 FROM tbl'
+4865
+4866    Args:
+4867        *expression: the SQL code string to parse as the FROM expressions of a
+4868            SELECT statement. If an Expression instance is passed, this is used as-is.
+4869        dialect: the dialect used to parse the input expression (in the case that the
+4870            input expression is a SQL string).
+4871        **opts: other options to use to parse the input expressions (again, in the case
+4872            that the input expression is a SQL string).
+4873
+4874    Returns:
+4875        Select: the syntax tree for the SELECT statement.
+4876    """
+4877    return Select().from_(expression, dialect=dialect, **opts)
 
    
 
 
@@ -48550,53 +49079,53 @@ 
    Returns:
    
 
     
    
     
-            
    4727def update(
-4728    table: str | Table,
-4729    properties: dict,
-4730    where: t.Optional[ExpOrStr] = None,
-4731    from_: t.Optional[ExpOrStr] = None,
-4732    dialect: DialectType = None,
-4733    **opts,
-4734) -> Update:
-4735    """
-4736    Creates an update statement.
-4737
-4738    Example:
-4739        >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()
-4740        "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"
-4741
-4742    Args:
-4743        *properties: dictionary of properties to set which are
-4744            auto converted to sql objects eg None -> NULL
-4745        where: sql conditional parsed into a WHERE statement
-4746        from_: sql statement parsed into a FROM statement
-4747        dialect: the dialect used to parse the input expressions.
-4748        **opts: other options to use to parse the input expressions.
-4749
-4750    Returns:
-4751        Update: the syntax tree for the UPDATE statement.
-4752    """
-4753    update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect))
-4754    update_expr.set(
-4755        "expressions",
-4756        [
-4757            EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v))
-4758            for k, v in properties.items()
-4759        ],
-4760    )
-4761    if from_:
-4762        update_expr.set(
-4763            "from",
-4764            maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts),
-4765        )
-4766    if isinstance(where, Condition):
-4767        where = Where(this=where)
-4768    if where:
-4769        update_expr.set(
-4770            "where",
-4771            maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
-4772        )
-4773    return update_expr
+            
    4880def update(
+4881    table: str | Table,
+4882    properties: dict,
+4883    where: t.Optional[ExpOrStr] = None,
+4884    from_: t.Optional[ExpOrStr] = None,
+4885    dialect: DialectType = None,
+4886    **opts,
+4887) -> Update:
+4888    """
+4889    Creates an update statement.
+4890
+4891    Example:
+4892        >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()
+4893        "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"
+4894
+4895    Args:
+4896        *properties: dictionary of properties to set which are
+4897            auto converted to sql objects eg None -> NULL
+4898        where: sql conditional parsed into a WHERE statement
+4899        from_: sql statement parsed into a FROM statement
+4900        dialect: the dialect used to parse the input expressions.
+4901        **opts: other options to use to parse the input expressions.
+4902
+4903    Returns:
+4904        Update: the syntax tree for the UPDATE statement.
+4905    """
+4906    update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect))
+4907    update_expr.set(
+4908        "expressions",
+4909        [
+4910            EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v))
+4911            for k, v in properties.items()
+4912        ],
+4913    )
+4914    if from_:
+4915        update_expr.set(
+4916            "from",
+4917            maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts),
+4918        )
+4919    if isinstance(where, Condition):
+4920        where = Where(this=where)
+4921    if where:
+4922        update_expr.set(
+4923            "where",
+4924            maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
+4925        )
+4926    return update_expr
 
    
 
 
@@ -48643,35 +49172,35 @@ 
    Returns:
    
 
     
    
     
-            
    4776def delete(
-4777    table: ExpOrStr,
-4778    where: t.Optional[ExpOrStr] = None,
-4779    returning: t.Optional[ExpOrStr] = None,
-4780    dialect: DialectType = None,
-4781    **opts,
-4782) -> Delete:
-4783    """
-4784    Builds a delete statement.
-4785
-4786    Example:
-4787        >>> delete("my_table", where="id > 1").sql()
-4788        'DELETE FROM my_table WHERE id > 1'
-4789
-4790    Args:
-4791        where: sql conditional parsed into a WHERE statement
-4792        returning: sql conditional parsed into a RETURNING statement
-4793        dialect: the dialect used to parse the input expressions.
-4794        **opts: other options to use to parse the input expressions.
-4795
-4796    Returns:
-4797        Delete: the syntax tree for the DELETE statement.
-4798    """
-4799    delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts)
-4800    if where:
-4801        delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts)
-4802    if returning:
-4803        delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts)
-4804    return delete_expr
+            
    4929def delete(
+4930    table: ExpOrStr,
+4931    where: t.Optional[ExpOrStr] = None,
+4932    returning: t.Optional[ExpOrStr] = None,
+4933    dialect: DialectType = None,
+4934    **opts,
+4935) -> Delete:
+4936    """
+4937    Builds a delete statement.
+4938
+4939    Example:
+4940        >>> delete("my_table", where="id > 1").sql()
+4941        'DELETE FROM my_table WHERE id > 1'
+4942
+4943    Args:
+4944        where: sql conditional parsed into a WHERE statement
+4945        returning: sql conditional parsed into a RETURNING statement
+4946        dialect: the dialect used to parse the input expressions.
+4947        **opts: other options to use to parse the input expressions.
+4948
+4949    Returns:
+4950        Delete: the syntax tree for the DELETE statement.
+4951    """
+4952    delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts)
+4953    if where:
+4954        delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts)
+4955    if returning:
+4956        delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts)
+4957    return delete_expr
 
    
 
 
@@ -48716,49 +49245,49 @@ 
    Returns:
    
 
     
    
     
-            
    4807def insert(
-4808    expression: ExpOrStr,
-4809    into: ExpOrStr,
-4810    columns: t.Optional[t.Sequence[ExpOrStr]] = None,
-4811    overwrite: t.Optional[bool] = None,
-4812    dialect: DialectType = None,
-4813    copy: bool = True,
-4814    **opts,
-4815) -> Insert:
-4816    """
-4817    Builds an INSERT statement.
-4818
-4819    Example:
-4820        >>> insert("VALUES (1, 2, 3)", "tbl").sql()
-4821        'INSERT INTO tbl VALUES (1, 2, 3)'
-4822
-4823    Args:
-4824        expression: the sql string or expression of the INSERT statement
-4825        into: the tbl to insert data to.
-4826        columns: optionally the table's column names.
-4827        overwrite: whether to INSERT OVERWRITE or not.
-4828        dialect: the dialect used to parse the input expressions.
-4829        copy: whether or not to copy the expression.
-4830        **opts: other options to use to parse the input expressions.
-4831
-4832    Returns:
-4833        Insert: the syntax tree for the INSERT statement.
-4834    """
-4835    expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
-4836    this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts)
-4837
-4838    if columns:
-4839        this = _apply_list_builder(
-4840            *columns,
-4841            instance=Schema(this=this),
-4842            arg="expressions",
-4843            into=Identifier,
-4844            copy=False,
-4845            dialect=dialect,
-4846            **opts,
-4847        )
-4848
-4849    return Insert(this=this, expression=expr, overwrite=overwrite)
+            
    4960def insert(
+4961    expression: ExpOrStr,
+4962    into: ExpOrStr,
+4963    columns: t.Optional[t.Sequence[ExpOrStr]] = None,
+4964    overwrite: t.Optional[bool] = None,
+4965    dialect: DialectType = None,
+4966    copy: bool = True,
+4967    **opts,
+4968) -> Insert:
+4969    """
+4970    Builds an INSERT statement.
+4971
+4972    Example:
+4973        >>> insert("VALUES (1, 2, 3)", "tbl").sql()
+4974        'INSERT INTO tbl VALUES (1, 2, 3)'
+4975
+4976    Args:
+4977        expression: the sql string or expression of the INSERT statement
+4978        into: the tbl to insert data to.
+4979        columns: optionally the table's column names.
+4980        overwrite: whether to INSERT OVERWRITE or not.
+4981        dialect: the dialect used to parse the input expressions.
+4982        copy: whether or not to copy the expression.
+4983        **opts: other options to use to parse the input expressions.
+4984
+4985    Returns:
+4986        Insert: the syntax tree for the INSERT statement.
+4987    """
+4988    expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
+4989    this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts)
+4990
+4991    if columns:
+4992        this = _apply_list_builder(
+4993            *columns,
+4994            instance=Schema(this=this),
+4995            arg="expressions",
+4996            into=Identifier,
+4997            copy=False,
+4998            dialect=dialect,
+4999            **opts,
+5000        )
+5001
+5002    return Insert(this=this, expression=expr, overwrite=overwrite)
 
    
 
 
@@ -48800,45 +49329,47 @@ 
    Returns:
    
 
    
             
         def
-        condition(	expression,	dialect=None,	copy=True,	**opts) -> sqlglot.expressions.Condition:
+        condition(	expression: Union[str, sqlglot.expressions.Expression],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Condition:
 
                 
 
     
    
     
-            
    4852def condition(expression, dialect=None, copy=True, **opts) -> Condition:
-4853    """
-4854    Initialize a logical condition expression.
-4855
-4856    Example:
-4857        >>> condition("x=1").sql()
-4858        'x = 1'
-4859
-4860        This is helpful for composing larger logical syntax trees:
-4861        >>> where = condition("x=1")
-4862        >>> where = where.and_("y=1")
-4863        >>> Select().from_("tbl").select("*").where(where).sql()
-4864        'SELECT * FROM tbl WHERE x = 1 AND y = 1'
-4865
-4866    Args:
-4867        *expression (str | Expression): the SQL code string to parse.
-4868            If an Expression instance is passed, this is used as-is.
-4869        dialect (str): the dialect used to parse the input expression (in the case that the
-4870            input expression is a SQL string).
-4871        copy (bool): Whether or not to copy `expression` (only applies to expressions).
-4872        **opts: other options to use to parse the input expressions (again, in the case
-4873            that the input expression is a SQL string).
-4874
-4875    Returns:
-4876        Condition: the expression
-4877    """
-4878    return maybe_parse(  # type: ignore
-4879        expression,
-4880        into=Condition,
-4881        dialect=dialect,
-4882        copy=copy,
-4883        **opts,
-4884    )
+            
    5005def condition(
+5006    expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
+5007) -> Condition:
+5008    """
+5009    Initialize a logical condition expression.
+5010
+5011    Example:
+5012        >>> condition("x=1").sql()
+5013        'x = 1'
+5014
+5015        This is helpful for composing larger logical syntax trees:
+5016        >>> where = condition("x=1")
+5017        >>> where = where.and_("y=1")
+5018        >>> Select().from_("tbl").select("*").where(where).sql()
+5019        'SELECT * FROM tbl WHERE x = 1 AND y = 1'
+5020
+5021    Args:
+5022        *expression: the SQL code string to parse.
+5023            If an Expression instance is passed, this is used as-is.
+5024        dialect: the dialect used to parse the input expression (in the case that the
+5025            input expression is a SQL string).
+5026        copy: Whether or not to copy `expression` (only applies to expressions).
+5027        **opts: other options to use to parse the input expressions (again, in the case
+5028            that the input expression is a SQL string).
+5029
+5030    Returns:
+5031        The new Condition instance
+5032    """
+5033    return maybe_parse(
+5034        expression,
+5035        into=Condition,
+5036        dialect=dialect,
+5037        copy=copy,
+5038        **opts,
+5039    )
 
    
 
 
@@ -48867,11 +49398,11 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expression (str | Expression):  the SQL code string to parse.
+
    • *expression:  the SQL code string to parse.
 If an Expression instance is passed, this is used as-is.
      • 
-
    • dialect (str):  the dialect used to parse the input expression (in the case that the
+
    • dialect:  the dialect used to parse the input expression (in the case that the
 input expression is a SQL string).
      • 
-
    • copy (bool):  Whether or not to copy expression (only applies to expressions).
      • 
+
    • copy:  Whether or not to copy expression (only applies to expressions).
      • 
 
    • **opts:  other options to use to parse the input expressions (again, in the case
 that the input expression is a SQL string).
      • 
 
    
@@ -48879,7 +49410,7 @@ 
    Arguments:
    
 
    Returns:
    
 
 
    
-  
    Condition: the expression
    
+  
    The new Condition instance
    
 
    
 
    
 
@@ -48890,31 +49421,33 @@ 
    Returns:
    
 
    
             
         def
-        and_(*expressions, dialect=None, copy=True, **opts) -> sqlglot.expressions.And:
+        and_(	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    4887def and_(*expressions, dialect=None, copy=True, **opts) -> And:
-4888    """
-4889    Combine multiple conditions with an AND logical operator.
-4890
-4891    Example:
-4892        >>> and_("x=1", and_("y=1", "z=1")).sql()
-4893        'x = 1 AND (y = 1 AND z = 1)'
-4894
-4895    Args:
-4896        *expressions (str | Expression): the SQL code strings to parse.
-4897            If an Expression instance is passed, this is used as-is.
-4898        dialect (str): the dialect used to parse the input expression.
-4899        copy (bool): whether or not to copy `expressions` (only applies to Expressions).
-4900        **opts: other options to use to parse the input expressions.
-4901
-4902    Returns:
-4903        And: the new condition
-4904    """
-4905    return _combine(expressions, And, dialect, copy=copy, **opts)
+            
    5042def and_(
+5043    *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts
+5044) -> Expression:
+5045    """
+5046    Combine multiple conditions with an AND logical operator.
+5047
+5048    Example:
+5049        >>> and_("x=1", and_("y=1", "z=1")).sql()
+5050        'x = 1 AND (y = 1 AND z = 1)'
+5051
+5052    Args:
+5053        *expressions: the SQL code strings to parse.
+5054            If an Expression instance is passed, this is used as-is.
+5055        dialect: the dialect used to parse the input expression.
+5056        copy: whether or not to copy `expressions` (only applies to Expressions).
+5057        **opts: other options to use to parse the input expressions.
+5058
+5059    Returns:
+5060        And: the new condition
+5061    """
+5062    return _combine(expressions, And, dialect, copy=copy, **opts)
 
    
 
 
@@ -48933,10 +49466,10 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, this is used as-is.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  whether or not to copy expressions (only applies to Expressions).
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  whether or not to copy expressions (only applies to Expressions).
      • 
 
    • **opts:  other options to use to parse the input expressions.
      • 
 
    
 
@@ -48954,31 +49487,33 @@ 
    Returns:
    
 
    
             
         def
-        or_(*expressions, dialect=None, copy=True, **opts) -> sqlglot.expressions.Or:
+        or_(	*expressions: Union[str, sqlglot.expressions.Expression, NoneType],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    4908def or_(*expressions, dialect=None, copy=True, **opts) -> Or:
-4909    """
-4910    Combine multiple conditions with an OR logical operator.
-4911
-4912    Example:
-4913        >>> or_("x=1", or_("y=1", "z=1")).sql()
-4914        'x = 1 OR (y = 1 OR z = 1)'
-4915
-4916    Args:
-4917        *expressions (str | Expression): the SQL code strings to parse.
-4918            If an Expression instance is passed, this is used as-is.
-4919        dialect (str): the dialect used to parse the input expression.
-4920        copy (bool): whether or not to copy `expressions` (only applies to Expressions).
-4921        **opts: other options to use to parse the input expressions.
-4922
-4923    Returns:
-4924        Or: the new condition
-4925    """
-4926    return _combine(expressions, Or, dialect, copy=copy, **opts)
+            
    5065def or_(
+5066    *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts
+5067) -> Expression:
+5068    """
+5069    Combine multiple conditions with an OR logical operator.
+5070
+5071    Example:
+5072        >>> or_("x=1", or_("y=1", "z=1")).sql()
+5073        'x = 1 OR (y = 1 OR z = 1)'
+5074
+5075    Args:
+5076        *expressions: the SQL code strings to parse.
+5077            If an Expression instance is passed, this is used as-is.
+5078        dialect: the dialect used to parse the input expression.
+5079        copy: whether or not to copy `expressions` (only applies to Expressions).
+5080        **opts: other options to use to parse the input expressions.
+5081
+5082    Returns:
+5083        Or: the new condition
+5084    """
+5085    return _combine(expressions, Or, dialect, copy=copy, **opts)
 
    
 
 
@@ -48997,10 +49532,10 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • *expressions (str | Expression):  the SQL code strings to parse.
+
    • *expressions:  the SQL code strings to parse.
 If an Expression instance is passed, this is used as-is.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
-
    • copy (bool):  whether or not to copy expressions (only applies to Expressions).
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  whether or not to copy expressions (only applies to Expressions).
      • 
 
    • **opts:  other options to use to parse the input expressions.
      • 
 
    
 
@@ -49018,36 +49553,37 @@ 
    Returns:
    
 
    
             
         def
-        not_(expression, dialect=None, copy=True, **opts) -> sqlglot.expressions.Not:
+        not_(	expression: Union[str, sqlglot.expressions.Expression],	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	copy: bool = True,	**opts) -> sqlglot.expressions.Not:
 
                 
 
     
    
     
-            
    4929def not_(expression, dialect=None, copy=True, **opts) -> Not:
-4930    """
-4931    Wrap a condition with a NOT operator.
-4932
-4933    Example:
-4934        >>> not_("this_suit='black'").sql()
-4935        "NOT this_suit = 'black'"
-4936
-4937    Args:
-4938        expression (str | Expression): the SQL code strings to parse.
-4939            If an Expression instance is passed, this is used as-is.
-4940        dialect (str): the dialect used to parse the input expression.
-4941        **opts: other options to use to parse the input expressions.
-4942
-4943    Returns:
-4944        Not: the new condition
-4945    """
-4946    this = condition(
-4947        expression,
-4948        dialect=dialect,
-4949        copy=copy,
-4950        **opts,
-4951    )
-4952    return Not(this=_wrap(this, Connector))
+            
    5088def not_(expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts) -> Not:
+5089    """
+5090    Wrap a condition with a NOT operator.
+5091
+5092    Example:
+5093        >>> not_("this_suit='black'").sql()
+5094        "NOT this_suit = 'black'"
+5095
+5096    Args:
+5097        expression: the SQL code string to parse.
+5098            If an Expression instance is passed, this is used as-is.
+5099        dialect: the dialect used to parse the input expression.
+5100        copy: whether to copy the expression or not.
+5101        **opts: other options to use to parse the input expressions.
+5102
+5103    Returns:
+5104        The new condition.
+5105    """
+5106    this = condition(
+5107        expression,
+5108        dialect=dialect,
+5109        copy=copy,
+5110        **opts,
+5111    )
+5112    return Not(this=_wrap(this, Connector))
 
    
 
 
@@ -49066,16 +49602,17 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | Expression):  the SQL code strings to parse.
+
    • expression:  the SQL code string to parse.
 If an Expression instance is passed, this is used as-is.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
+
    • copy:  whether to copy the expression or not.
      • 
 
    • **opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Not: the new condition
    
+  
    The new condition.
    
 
    
 
    
 
@@ -49086,18 +49623,59 @@ 
    Returns:
    
 
    
             
         def
-        paren(expression, copy=True) -> sqlglot.expressions.Paren:
+        paren(	expression: Union[str, sqlglot.expressions.Expression],	copy: bool = True) -> sqlglot.expressions.Paren:
 
                 
 
     
    
     
-            
    4955def paren(expression, copy=True) -> Paren:
-4956    return Paren(this=_maybe_copy(expression, copy))
-
    
+            
    5115def paren(expression: ExpOrStr, copy: bool = True) -> Paren:
+5116    """
+5117    Wrap an expression in parentheses.
+5118
+5119    Example:
+5120        >>> paren("5 + 3").sql()
+5121        '(5 + 3)'
+5122
+5123    Args:
+5124        expression: the SQL code string to parse.
+5125            If an Expression instance is passed, this is used as-is.
+5126        copy: whether to copy the expression or not.
+5127
+5128    Returns:
+5129        The wrapped expression.
+5130    """
+5131    return Paren(this=maybe_parse(expression, copy=copy))
+
    
+
+
+            
    Wrap an expression in parentheses.
    
 
+
    Example:
    
+
+
    
+  
    
+
    >>> paren("5 + 3").sql()
+'(5 + 3)'
+
    
+  
    
+
    
+
+
    Arguments:
    
+
+
      
+
    • expression:  the SQL code string to parse.
+If an Expression instance is passed, this is used as-is.
      • 
+
    • copy:  whether to copy the expression or not.
      • 
+
    
+
+
    Returns:
    
+
+
    
+  
    The wrapped expression.
    
+
    
+
    
 
-    
 
                 
                 
    
@@ -49111,31 +49689,31 @@ 
    Returns:
    
 
     
    
     
-            
    4974def to_identifier(name, quoted=None, copy=True):
-4975    """Builds an identifier.
-4976
-4977    Args:
-4978        name: The name to turn into an identifier.
-4979        quoted: Whether or not force quote the identifier.
-4980        copy: Whether or not to copy a passed in Identefier node.
-4981
-4982    Returns:
-4983        The identifier ast node.
-4984    """
-4985
-4986    if name is None:
-4987        return None
-4988
-4989    if isinstance(name, Identifier):
-4990        identifier = _maybe_copy(name, copy)
-4991    elif isinstance(name, str):
-4992        identifier = Identifier(
-4993            this=name,
-4994            quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted,
-4995        )
-4996    else:
-4997        raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}")
-4998    return identifier
+            
    5149def to_identifier(name, quoted=None, copy=True):
+5150    """Builds an identifier.
+5151
+5152    Args:
+5153        name: The name to turn into an identifier.
+5154        quoted: Whether or not force quote the identifier.
+5155        copy: Whether or not to copy a passed in Identefier node.
+5156
+5157    Returns:
+5158        The identifier ast node.
+5159    """
+5160
+5161    if name is None:
+5162        return None
+5163
+5164    if isinstance(name, Identifier):
+5165        identifier = _maybe_copy(name, copy)
+5166    elif isinstance(name, str):
+5167        identifier = Identifier(
+5168            this=name,
+5169            quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted,
+5170        )
+5171    else:
+5172        raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}")
+5173    return identifier
 
    
 
 
@@ -49169,23 +49747,23 @@ 
    Returns:
    
 
     
    
     
-            
    5004def to_interval(interval: str | Literal) -> Interval:
-5005    """Builds an interval expression from a string like '1 day' or '5 months'."""
-5006    if isinstance(interval, Literal):
-5007        if not interval.is_string:
-5008            raise ValueError("Invalid interval string.")
-5009
-5010        interval = interval.this
-5011
-5012    interval_parts = INTERVAL_STRING_RE.match(interval)  # type: ignore
-5013
-5014    if not interval_parts:
-5015        raise ValueError("Invalid interval string.")
-5016
-5017    return Interval(
-5018        this=Literal.string(interval_parts.group(1)),
-5019        unit=Var(this=interval_parts.group(2)),
-5020    )
+            
    5179def to_interval(interval: str | Literal) -> Interval:
+5180    """Builds an interval expression from a string like '1 day' or '5 months'."""
+5181    if isinstance(interval, Literal):
+5182        if not interval.is_string:
+5183            raise ValueError("Invalid interval string.")
+5184
+5185        interval = interval.this
+5186
+5187    interval_parts = INTERVAL_STRING_RE.match(interval)  # type: ignore
+5188
+5189    if not interval_parts:
+5190        raise ValueError("Invalid interval string.")
+5191
+5192    return Interval(
+5193        this=Literal.string(interval_parts.group(1)),
+5194        unit=Var(this=interval_parts.group(2)),
+5195    )
 
    
 
 
@@ -49205,32 +49783,32 @@ 
    Returns:
    
 
     
    
     
-            
    5033def to_table(
-5034    sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs
-5035) -> t.Optional[Table]:
-5036    """
-5037    Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional.
-5038    If a table is passed in then that table is returned.
-5039
-5040    Args:
-5041        sql_path: a `[catalog].[schema].[table]` string.
-5042        dialect: the source dialect according to which the table name will be parsed.
-5043        kwargs: the kwargs to instantiate the resulting `Table` expression with.
-5044
-5045    Returns:
-5046        A table expression.
-5047    """
-5048    if sql_path is None or isinstance(sql_path, Table):
-5049        return sql_path
-5050    if not isinstance(sql_path, str):
-5051        raise ValueError(f"Invalid type provided for a table: {type(sql_path)}")
-5052
-5053    table = maybe_parse(sql_path, into=Table, dialect=dialect)
-5054    if table:
-5055        for k, v in kwargs.items():
-5056            table.set(k, v)
-5057
-5058    return table
+            
    5208def to_table(
+5209    sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs
+5210) -> t.Optional[Table]:
+5211    """
+5212    Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional.
+5213    If a table is passed in then that table is returned.
+5214
+5215    Args:
+5216        sql_path: a `[catalog].[schema].[table]` string.
+5217        dialect: the source dialect according to which the table name will be parsed.
+5218        kwargs: the kwargs to instantiate the resulting `Table` expression with.
+5219
+5220    Returns:
+5221        A table expression.
+5222    """
+5223    if sql_path is None or isinstance(sql_path, Table):
+5224        return sql_path
+5225    if not isinstance(sql_path, str):
+5226        raise ValueError(f"Invalid type provided for a table: {type(sql_path)}")
+5227
+5228    table = maybe_parse(sql_path, into=Table, dialect=dialect)
+5229    if table:
+5230        for k, v in kwargs.items():
+5231            table.set(k, v)
+5232
+5233    return table
 
    
 
 
@@ -49265,22 +49843,22 @@ 
    Returns:
    
 
     
    
     
-            
    5061def to_column(sql_path: str | Column, **kwargs) -> Column:
-5062    """
-5063    Create a column from a `[table].[column]` sql path. Schema is optional.
-5064
-5065    If a column is passed in then that column is returned.
-5066
-5067    Args:
-5068        sql_path: `[table].[column]` string
-5069    Returns:
-5070        Table: A column expression
-5071    """
-5072    if sql_path is None or isinstance(sql_path, Column):
-5073        return sql_path
-5074    if not isinstance(sql_path, str):
-5075        raise ValueError(f"Invalid type provided for column: {type(sql_path)}")
-5076    return column(*reversed(sql_path.split(".")), **kwargs)  # type: ignore
+            
    5236def to_column(sql_path: str | Column, **kwargs) -> Column:
+5237    """
+5238    Create a column from a `[table].[column]` sql path. Schema is optional.
+5239
+5240    If a column is passed in then that column is returned.
+5241
+5242    Args:
+5243        sql_path: `[table].[column]` string
+5244    Returns:
+5245        Table: A column expression
+5246    """
+5247    if sql_path is None or isinstance(sql_path, Column):
+5248        return sql_path
+5249    if not isinstance(sql_path, str):
+5250        raise ValueError(f"Invalid type provided for column: {type(sql_path)}")
+5251    return column(*reversed(sql_path.split(".")), **kwargs)  # type: ignore
 
    
 
 
@@ -49314,61 +49892,61 @@ 
    Returns:
    
 
     
    
     
-            
    5079def alias_(
-5080    expression: ExpOrStr,
-5081    alias: str | Identifier,
-5082    table: bool | t.Sequence[str | Identifier] = False,
-5083    quoted: t.Optional[bool] = None,
-5084    dialect: DialectType = None,
-5085    copy: bool = True,
-5086    **opts,
-5087):
-5088    """Create an Alias expression.
-5089
-5090    Example:
-5091        >>> alias_('foo', 'bar').sql()
-5092        'foo AS bar'
-5093
-5094        >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()
-5095        '(SELECT 1, 2) AS bar(a, b)'
-5096
-5097    Args:
-5098        expression: the SQL code strings to parse.
-5099            If an Expression instance is passed, this is used as-is.
-5100        alias: the alias name to use. If the name has
-5101            special characters it is quoted.
-5102        table: Whether or not to create a table alias, can also be a list of columns.
-5103        quoted: whether or not to quote the alias
-5104        dialect: the dialect used to parse the input expression.
-5105        copy: Whether or not to copy the expression.
-5106        **opts: other options to use to parse the input expressions.
-5107
-5108    Returns:
-5109        Alias: the aliased expression
-5110    """
-5111    exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
-5112    alias = to_identifier(alias, quoted=quoted)
-5113
-5114    if table:
-5115        table_alias = TableAlias(this=alias)
-5116        exp.set("alias", table_alias)
-5117
-5118        if not isinstance(table, bool):
-5119            for column in table:
-5120                table_alias.append("columns", to_identifier(column, quoted=quoted))
-5121
-5122        return exp
-5123
-5124    # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in
-5125    # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node
-5126    # for the complete Window expression.
-5127    #
-5128    # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls
-5129
-5130    if "alias" in exp.arg_types and not isinstance(exp, Window):
-5131        exp.set("alias", alias)
-5132        return exp
-5133    return Alias(this=exp, alias=alias)
+            
    5254def alias_(
+5255    expression: ExpOrStr,
+5256    alias: str | Identifier,
+5257    table: bool | t.Sequence[str | Identifier] = False,
+5258    quoted: t.Optional[bool] = None,
+5259    dialect: DialectType = None,
+5260    copy: bool = True,
+5261    **opts,
+5262):
+5263    """Create an Alias expression.
+5264
+5265    Example:
+5266        >>> alias_('foo', 'bar').sql()
+5267        'foo AS bar'
+5268
+5269        >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()
+5270        '(SELECT 1, 2) AS bar(a, b)'
+5271
+5272    Args:
+5273        expression: the SQL code strings to parse.
+5274            If an Expression instance is passed, this is used as-is.
+5275        alias: the alias name to use. If the name has
+5276            special characters it is quoted.
+5277        table: Whether or not to create a table alias, can also be a list of columns.
+5278        quoted: whether or not to quote the alias
+5279        dialect: the dialect used to parse the input expression.
+5280        copy: Whether or not to copy the expression.
+5281        **opts: other options to use to parse the input expressions.
+5282
+5283    Returns:
+5284        Alias: the aliased expression
+5285    """
+5286    exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
+5287    alias = to_identifier(alias, quoted=quoted)
+5288
+5289    if table:
+5290        table_alias = TableAlias(this=alias)
+5291        exp.set("alias", table_alias)
+5292
+5293        if not isinstance(table, bool):
+5294            for column in table:
+5295                table_alias.append("columns", to_identifier(column, quoted=quoted))
+5296
+5297        return exp
+5298
+5299    # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in
+5300    # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node
+5301    # for the complete Window expression.
+5302    #
+5303    # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls
+5304
+5305    if "alias" in exp.arg_types and not isinstance(exp, Window):
+5306        exp.set("alias", alias)
+5307        return exp
+5308    return Alias(this=exp, alias=alias)
 
    
 
 
@@ -49418,33 +49996,38 @@ 
    Returns:
    
 
    
             
         def
-        subquery(expression, alias=None, dialect=None, **opts):
+        subquery(	expression: Union[str, sqlglot.expressions.Expression],	alias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	**opts) -> sqlglot.expressions.Select:
 
                 
 
     
    
     
-            
    5136def subquery(expression, alias=None, dialect=None, **opts):
-5137    """
-5138    Build a subquery expression.
-5139
-5140    Example:
-5141        >>> subquery('select x from tbl', 'bar').select('x').sql()
-5142        'SELECT x FROM (SELECT x FROM tbl) AS bar'
-5143
-5144    Args:
-5145        expression (str | Expression): the SQL code strings to parse.
-5146            If an Expression instance is passed, this is used as-is.
-5147        alias (str | Expression): the alias name to use.
-5148        dialect (str): the dialect used to parse the input expression.
-5149        **opts: other options to use to parse the input expressions.
-5150
-5151    Returns:
-5152        Select: a new select with the subquery expression included
-5153    """
-5154
-5155    expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias)
-5156    return Select().from_(expression, dialect=dialect, **opts)
+            
    5311def subquery(
+5312    expression: ExpOrStr,
+5313    alias: t.Optional[Identifier | str] = None,
+5314    dialect: DialectType = None,
+5315    **opts,
+5316) -> Select:
+5317    """
+5318    Build a subquery expression.
+5319
+5320    Example:
+5321        >>> subquery('select x from tbl', 'bar').select('x').sql()
+5322        'SELECT x FROM (SELECT x FROM tbl) AS bar'
+5323
+5324    Args:
+5325        expression: the SQL code strings to parse.
+5326            If an Expression instance is passed, this is used as-is.
+5327        alias: the alias name to use.
+5328        dialect: the dialect used to parse the input expression.
+5329        **opts: other options to use to parse the input expressions.
+5330
+5331    Returns:
+5332        A new Select instance with the subquery expression included.
+5333    """
+5334
+5335    expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias)
+5336    return Select().from_(expression, dialect=dialect, **opts)
 
    
 
 
@@ -49463,17 +50046,17 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (str | Expression):  the SQL code strings to parse.
+
    • expression:  the SQL code strings to parse.
 If an Expression instance is passed, this is used as-is.
      • 
-
    • alias (str | Expression):  the alias name to use.
      • 
-
    • dialect (str):  the dialect used to parse the input expression.
      • 
+
    • alias:  the alias name to use.
      • 
+
    • dialect:  the dialect used to parse the input expression.
      • 
 
    • **opts:  other options to use to parse the input expressions.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Select: a new select with the subquery expression included
    
+  
    A new Select instance with the subquery expression included.
    
 
    
 
    
 
@@ -49484,37 +50067,38 @@ 
    Returns:
    
 
    
             
         def
-        column(	col: str | sqlglot.expressions.Identifier,	table: Union[str, sqlglot.expressions.Identifier, NoneType] = None,	db: Union[str, sqlglot.expressions.Identifier, NoneType] = None,	catalog: Union[str, sqlglot.expressions.Identifier, NoneType] = None,	quoted: Optional[bool] = None) -> sqlglot.expressions.Column:
+        column(	col: str | sqlglot.expressions.Identifier,	table: Union[sqlglot.expressions.Identifier, str, NoneType] = None,	db: Union[sqlglot.expressions.Identifier, str, NoneType] = None,	catalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,	quoted: Optional[bool] = None) -> sqlglot.expressions.Column:
 
                 
 
     
    
     
-            
    5159def column(
-5160    col: str | Identifier,
-5161    table: t.Optional[str | Identifier] = None,
-5162    db: t.Optional[str | Identifier] = None,
-5163    catalog: t.Optional[str | Identifier] = None,
-5164    quoted: t.Optional[bool] = None,
-5165) -> Column:
-5166    """
-5167    Build a Column.
-5168
-5169    Args:
-5170        col: column name
-5171        table: table name
-5172        db: db name
-5173        catalog: catalog name
-5174        quoted: whether or not to force quote each part
-5175    Returns:
-5176        Column: column instance
-5177    """
-5178    return Column(
-5179        this=to_identifier(col, quoted=quoted),
-5180        table=to_identifier(table, quoted=quoted),
-5181        db=to_identifier(db, quoted=quoted),
-5182        catalog=to_identifier(catalog, quoted=quoted),
-5183    )
+            
    5339def column(
+5340    col: str | Identifier,
+5341    table: t.Optional[str | Identifier] = None,
+5342    db: t.Optional[str | Identifier] = None,
+5343    catalog: t.Optional[str | Identifier] = None,
+5344    quoted: t.Optional[bool] = None,
+5345) -> Column:
+5346    """
+5347    Build a Column.
+5348
+5349    Args:
+5350        col: Column name.
+5351        table: Table name.
+5352        db: Database name.
+5353        catalog: Catalog name.
+5354        quoted: Whether to force quotes on the column's identifiers.
+5355
+5356    Returns:
+5357        The new Column instance.
+5358    """
+5359    return Column(
+5360        this=to_identifier(col, quoted=quoted),
+5361        table=to_identifier(table, quoted=quoted),
+5362        db=to_identifier(db, quoted=quoted),
+5363        catalog=to_identifier(catalog, quoted=quoted),
+5364    )
 
    
 
 
@@ -49523,17 +50107,17 @@ 
    Returns:
    
 
    Arguments:
    
 
 
      
-
    • col:  column name
      • 
-
    • table:  table name
      • 
-
    • db:  db name
      • 
-
    • catalog:  catalog name
      • 
-
    • quoted:  whether or not to force quote each part
      • 
+
    • col:  Column name.
      • 
+
    • table:  Table name.
      • 
+
    • db:  Database name.
      • 
+
    • catalog:  Catalog name.
      • 
+
    • quoted:  Whether to force quotes on the column's identifiers.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Column: column instance
    
+  
    The new Column instance.
    
 
    
 
    
 
@@ -49550,22 +50134,22 @@ 
    Returns:
    
 
     
    
     
-            
    5186def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast:
-5187    """Cast an expression to a data type.
-5188
-5189    Example:
-5190        >>> cast('x + 1', 'int').sql()
-5191        'CAST(x + 1 AS INT)'
-5192
-5193    Args:
-5194        expression: The expression to cast.
-5195        to: The datatype to cast to.
-5196
-5197    Returns:
-5198        A cast node.
-5199    """
-5200    expression = maybe_parse(expression, **opts)
-5201    return Cast(this=expression, to=DataType.build(to, **opts))
+            
    5367def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast:
+5368    """Cast an expression to a data type.
+5369
+5370    Example:
+5371        >>> cast('x + 1', 'int').sql()
+5372        'CAST(x + 1 AS INT)'
+5373
+5374    Args:
+5375        expression: The expression to cast.
+5376        to: The datatype to cast to.
+5377
+5378    Returns:
+5379        The new Cast instance.
+5380    """
+5381    expression = maybe_parse(expression, **opts)
+5382    return Cast(this=expression, to=DataType.build(to, **opts))
 
    
 
 
@@ -49591,7 +50175,7 @@ 
    Arguments:
    
 
    Returns:
    
 
 
    
-  
    A cast node.
    
+  
    The new Cast instance.
    
 
    
 
    
 
@@ -49602,29 +50186,37 @@ 
    Returns:
    
 
    
             
         def
-        table_(	table,	db=None,	catalog=None,	quoted=None,	alias=None) -> sqlglot.expressions.Table:
+        table_(	table: sqlglot.expressions.Identifier | str,	db: Union[sqlglot.expressions.Identifier, str, NoneType] = None,	catalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,	quoted: Optional[bool] = None,	alias: Union[sqlglot.expressions.Identifier, str, NoneType] = None) -> sqlglot.expressions.Table:
 
                 
 
     
    
     
-            
    5204def table_(table, db=None, catalog=None, quoted=None, alias=None) -> Table:
-5205    """Build a Table.
-5206
-5207    Args:
-5208        table (str | Expression): column name
-5209        db (str | Expression): db name
-5210        catalog (str | Expression): catalog name
-5211
-5212    Returns:
-5213        Table: table instance
-5214    """
-5215    return Table(
-5216        this=to_identifier(table, quoted=quoted),
-5217        db=to_identifier(db, quoted=quoted),
-5218        catalog=to_identifier(catalog, quoted=quoted),
-5219        alias=TableAlias(this=to_identifier(alias)) if alias else None,
-5220    )
+            
    5385def table_(
+5386    table: Identifier | str,
+5387    db: t.Optional[Identifier | str] = None,
+5388    catalog: t.Optional[Identifier | str] = None,
+5389    quoted: t.Optional[bool] = None,
+5390    alias: t.Optional[Identifier | str] = None,
+5391) -> Table:
+5392    """Build a Table.
+5393
+5394    Args:
+5395        table: Table name.
+5396        db: Database name.
+5397        catalog: Catalog name.
+5398        quote: Whether to force quotes on the table's identifiers.
+5399        alias: Table's alias.
+5400
+5401    Returns:
+5402        The new Table instance.
+5403    """
+5404    return Table(
+5405        this=to_identifier(table, quoted=quoted),
+5406        db=to_identifier(db, quoted=quoted),
+5407        catalog=to_identifier(catalog, quoted=quoted),
+5408        alias=TableAlias(this=to_identifier(alias)) if alias else None,
+5409    )
 
    
 
 
@@ -49633,15 +50225,17 @@ 
    Returns:
    
 
    Arguments:
    
 
 
      
-
    • table (str | Expression):  column name
      • 
-
    • db (str | Expression):  db name
      • 
-
    • catalog (str | Expression):  catalog name
      • 
+
    • table:  Table name.
      • 
+
    • db:  Database name.
      • 
+
    • catalog:  Catalog name.
      • 
+
    • quote:  Whether to force quotes on the table's identifiers.
      • 
+
    • alias:  Table's alias.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    Table: table instance
    
+  
    The new Table instance.
    
 
    
 
    
 
@@ -49658,37 +50252,37 @@ 
    Returns:
    
 
     
    
     
-            
    5223def values(
-5224    values: t.Iterable[t.Tuple[t.Any, ...]],
-5225    alias: t.Optional[str] = None,
-5226    columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None,
-5227) -> Values:
-5228    """Build VALUES statement.
-5229
-5230    Example:
-5231        >>> values([(1, '2')]).sql()
-5232        "VALUES (1, '2')"
-5233
-5234    Args:
-5235        values: values statements that will be converted to SQL
-5236        alias: optional alias
-5237        columns: Optional list of ordered column names or ordered dictionary of column names to types.
-5238         If either are provided then an alias is also required.
-5239
-5240    Returns:
-5241        Values: the Values expression object
-5242    """
-5243    if columns and not alias:
-5244        raise ValueError("Alias is required when providing columns")
-5245
-5246    return Values(
-5247        expressions=[convert(tup) for tup in values],
-5248        alias=(
-5249            TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns])
-5250            if columns
-5251            else (TableAlias(this=to_identifier(alias)) if alias else None)
-5252        ),
-5253    )
+            
    5412def values(
+5413    values: t.Iterable[t.Tuple[t.Any, ...]],
+5414    alias: t.Optional[str] = None,
+5415    columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None,
+5416) -> Values:
+5417    """Build VALUES statement.
+5418
+5419    Example:
+5420        >>> values([(1, '2')]).sql()
+5421        "VALUES (1, '2')"
+5422
+5423    Args:
+5424        values: values statements that will be converted to SQL
+5425        alias: optional alias
+5426        columns: Optional list of ordered column names or ordered dictionary of column names to types.
+5427         If either are provided then an alias is also required.
+5428
+5429    Returns:
+5430        Values: the Values expression object
+5431    """
+5432    if columns and not alias:
+5433        raise ValueError("Alias is required when providing columns")
+5434
+5435    return Values(
+5436        expressions=[convert(tup) for tup in values],
+5437        alias=(
+5438            TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns])
+5439            if columns
+5440            else (TableAlias(this=to_identifier(alias)) if alias else None)
+5441        ),
+5442    )
 
    
 
 
@@ -49733,28 +50327,28 @@ 
    Returns:
    
 
     
    
     
-            
    5256def var(name: t.Optional[ExpOrStr]) -> Var:
-5257    """Build a SQL variable.
-5258
-5259    Example:
-5260        >>> repr(var('x'))
-5261        '(VAR this: x)'
-5262
-5263        >>> repr(var(column('x', table='y')))
-5264        '(VAR this: x)'
-5265
-5266    Args:
-5267        name: The name of the var or an expression who's name will become the var.
-5268
-5269    Returns:
-5270        The new variable node.
-5271    """
-5272    if not name:
-5273        raise ValueError("Cannot convert empty name into var.")
-5274
-5275    if isinstance(name, Expression):
-5276        name = name.name
-5277    return Var(this=name)
+            
    5445def var(name: t.Optional[ExpOrStr]) -> Var:
+5446    """Build a SQL variable.
+5447
+5448    Example:
+5449        >>> repr(var('x'))
+5450        '(VAR this: x)'
+5451
+5452        >>> repr(var(column('x', table='y')))
+5453        '(VAR this: x)'
+5454
+5455    Args:
+5456        name: The name of the var or an expression who's name will become the var.
+5457
+5458    Returns:
+5459        The new variable node.
+5460    """
+5461    if not name:
+5462        raise ValueError("Cannot convert empty name into var.")
+5463
+5464    if isinstance(name, Expression):
+5465        name = name.name
+5466    return Var(this=name)
 
    
 
 
@@ -49802,24 +50396,24 @@ 
    Returns:
    
 
     
    
     
-            
    5280def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable:
-5281    """Build ALTER TABLE... RENAME... expression
-5282
-5283    Args:
-5284        old_name: The old name of the table
-5285        new_name: The new name of the table
-5286
-5287    Returns:
-5288        Alter table expression
-5289    """
-5290    old_table = to_table(old_name)
-5291    new_table = to_table(new_name)
-5292    return AlterTable(
-5293        this=old_table,
-5294        actions=[
-5295            RenameTable(this=new_table),
-5296        ],
-5297    )
+            
    5469def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable:
+5470    """Build ALTER TABLE... RENAME... expression
+5471
+5472    Args:
+5473        old_name: The old name of the table
+5474        new_name: The new name of the table
+5475
+5476    Returns:
+5477        Alter table expression
+5478    """
+5479    old_table = to_table(old_name)
+5480    new_table = to_table(new_name)
+5481    return AlterTable(
+5482        this=old_table,
+5483        actions=[
+5484            RenameTable(this=new_table),
+5485        ],
+5486    )
 
    
 
 
@@ -49852,46 +50446,46 @@ 
    Returns:
    
 
     
    
     
-            
    5300def convert(value: t.Any, copy: bool = False) -> Expression:
-5301    """Convert a python value into an expression object.
-5302
-5303    Raises an error if a conversion is not possible.
-5304
-5305    Args:
-5306        value: A python object.
-5307        copy: Whether or not to copy `value` (only applies to Expressions and collections).
-5308
-5309    Returns:
-5310        Expression: the equivalent expression object.
-5311    """
-5312    if isinstance(value, Expression):
-5313        return _maybe_copy(value, copy)
-5314    if isinstance(value, str):
-5315        return Literal.string(value)
-5316    if isinstance(value, bool):
-5317        return Boolean(this=value)
-5318    if value is None or (isinstance(value, float) and math.isnan(value)):
-5319        return NULL
-5320    if isinstance(value, numbers.Number):
-5321        return Literal.number(value)
-5322    if isinstance(value, datetime.datetime):
-5323        datetime_literal = Literal.string(
-5324            (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat()
-5325        )
-5326        return TimeStrToTime(this=datetime_literal)
-5327    if isinstance(value, datetime.date):
-5328        date_literal = Literal.string(value.strftime("%Y-%m-%d"))
-5329        return DateStrToDate(this=date_literal)
-5330    if isinstance(value, tuple):
-5331        return Tuple(expressions=[convert(v, copy=copy) for v in value])
-5332    if isinstance(value, list):
-5333        return Array(expressions=[convert(v, copy=copy) for v in value])
-5334    if isinstance(value, dict):
-5335        return Map(
-5336            keys=[convert(k, copy=copy) for k in value],
-5337            values=[convert(v, copy=copy) for v in value.values()],
-5338        )
-5339    raise ValueError(f"Cannot convert {value}")
+            
    5489def convert(value: t.Any, copy: bool = False) -> Expression:
+5490    """Convert a python value into an expression object.
+5491
+5492    Raises an error if a conversion is not possible.
+5493
+5494    Args:
+5495        value: A python object.
+5496        copy: Whether or not to copy `value` (only applies to Expressions and collections).
+5497
+5498    Returns:
+5499        Expression: the equivalent expression object.
+5500    """
+5501    if isinstance(value, Expression):
+5502        return _maybe_copy(value, copy)
+5503    if isinstance(value, str):
+5504        return Literal.string(value)
+5505    if isinstance(value, bool):
+5506        return Boolean(this=value)
+5507    if value is None or (isinstance(value, float) and math.isnan(value)):
+5508        return NULL
+5509    if isinstance(value, numbers.Number):
+5510        return Literal.number(value)
+5511    if isinstance(value, datetime.datetime):
+5512        datetime_literal = Literal.string(
+5513            (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat()
+5514        )
+5515        return TimeStrToTime(this=datetime_literal)
+5516    if isinstance(value, datetime.date):
+5517        date_literal = Literal.string(value.strftime("%Y-%m-%d"))
+5518        return DateStrToDate(this=date_literal)
+5519    if isinstance(value, tuple):
+5520        return Tuple(expressions=[convert(v, copy=copy) for v in value])
+5521    if isinstance(value, list):
+5522        return Array(expressions=[convert(v, copy=copy) for v in value])
+5523    if isinstance(value, dict):
+5524        return Map(
+5525            keys=[convert(k, copy=copy) for k in value],
+5526            values=[convert(v, copy=copy) for v in value.values()],
+5527        )
+5528    raise ValueError(f"Cannot convert {value}")
 
    
 
 
@@ -49920,32 +50514,32 @@ 
    Returns:
    
 
    
             
         def
-        replace_children(expression, fun, *args, **kwargs):
+        replace_children(	expression: sqlglot.expressions.Expression,	fun: Callable,	*args,	**kwargs) -> None:
 
                 
 
     
    
     
-            
    5342def replace_children(expression, fun, *args, **kwargs):
-5343    """
-5344    Replace children of an expression with the result of a lambda fun(child) -> exp.
-5345    """
-5346    for k, v in expression.args.items():
-5347        is_list_arg = type(v) is list
-5348
-5349        child_nodes = v if is_list_arg else [v]
-5350        new_child_nodes = []
-5351
-5352        for cn in child_nodes:
-5353            if isinstance(cn, Expression):
-5354                for child_node in ensure_collection(fun(cn, *args, **kwargs)):
-5355                    new_child_nodes.append(child_node)
-5356                    child_node.parent = expression
-5357                    child_node.arg_key = k
-5358            else:
-5359                new_child_nodes.append(cn)
-5360
-5361        expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0)
+            
    5531def replace_children(expression: Expression, fun: t.Callable, *args, **kwargs) -> None:
+5532    """
+5533    Replace children of an expression with the result of a lambda fun(child) -> exp.
+5534    """
+5535    for k, v in expression.args.items():
+5536        is_list_arg = type(v) is list
+5537
+5538        child_nodes = v if is_list_arg else [v]
+5539        new_child_nodes = []
+5540
+5541        for cn in child_nodes:
+5542            if isinstance(cn, Expression):
+5543                for child_node in ensure_collection(fun(cn, *args, **kwargs)):
+5544                    new_child_nodes.append(child_node)
+5545                    child_node.parent = expression
+5546                    child_node.arg_key = k
+5547            else:
+5548                new_child_nodes.append(cn)
+5549
+5550        expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0)
 
    
 
 
@@ -49959,28 +50553,28 @@ 
    Returns:
    
 
    
             
         def
-        column_table_names(expression):
+        column_table_names(expression: sqlglot.expressions.Expression) -> List[str]:
 
                 
 
     
    
     
-            
    5364def column_table_names(expression):
-5365    """
-5366    Return all table names referenced through columns in an expression.
-5367
-5368    Example:
-5369        >>> import sqlglot
-5370        >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))
-5371        ['c', 'a']
-5372
-5373    Args:
-5374        expression (sqlglot.Expression): expression to find table names
-5375
-5376    Returns:
-5377        list: A list of unique names
-5378    """
-5379    return list(dict.fromkeys(column.table for column in expression.find_all(Column)))
+            
    5553def column_table_names(expression: Expression) -> t.List[str]:
+5554    """
+5555    Return all table names referenced through columns in an expression.
+5556
+5557    Example:
+5558        >>> import sqlglot
+5559        >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))
+5560        ['c', 'a']
+5561
+5562    Args:
+5563        expression: expression to find table names.
+5564
+5565    Returns:
+5566        A list of unique names.
+5567    """
+5568    return list(dict.fromkeys(column.table for column in expression.find_all(Column)))
 
    
 
 
@@ -50000,13 +50594,13 @@ 
    Example:
    
 
    Arguments:
    
 
 
      
-
    • expression (sqlglot.Expression):  expression to find table names
      • 
+
    • expression:  expression to find table names.
      • 
 
    
 
 
    Returns:
    
 
 
    
-  
    list: A list of unique names
    
+  
    A list of unique names.
    
 
    
 
    
 
@@ -50017,41 +50611,33 @@ 
    Returns:
    
 
    
             
         def
-        table_name(table) -> str:
+        table_name(table: sqlglot.expressions.Table | str) -> str:
 
                 
 
     
    
     
-            
    5382def table_name(table) -> str:
-5383    """Get the full name of a table as a string.
-5384
-5385    Args:
-5386        table (exp.Table | str): table expression node or string.
-5387
-5388    Examples:
-5389        >>> from sqlglot import exp, parse_one
-5390        >>> table_name(parse_one("select * from a.b.c").find(exp.Table))
-5391        'a.b.c'
-5392
-5393    Returns:
-5394        The table name.
-5395    """
-5396
-5397    table = maybe_parse(table, into=Table)
-5398
-5399    if not table:
-5400        raise ValueError(f"Cannot parse {table}")
-5401
-5402    return ".".join(
-5403        part
-5404        for part in (
-5405            table.text("catalog"),
-5406            table.text("db"),
-5407            table.name,
-5408        )
-5409        if part
-5410    )
+            
    5571def table_name(table: Table | str) -> str:
+5572    """Get the full name of a table as a string.
+5573
+5574    Args:
+5575        table: table expression node or string.
+5576
+5577    Examples:
+5578        >>> from sqlglot import exp, parse_one
+5579        >>> table_name(parse_one("select * from a.b.c").find(exp.Table))
+5580        'a.b.c'
+5581
+5582    Returns:
+5583        The table name.
+5584    """
+5585
+5586    table = maybe_parse(table, into=Table)
+5587
+5588    if not table:
+5589        raise ValueError(f"Cannot parse {table}")
+5590
+5591    return ".".join(part for part in (table.text("catalog"), table.text("db"), table.name) if part)
 
    
 
 
@@ -50060,7 +50646,7 @@ 
    Returns:
    
 
    Arguments:
    
 
 
      
-
    • table (exp.Table | str):  table expression node or string.
      • 
+
    • table:  table expression node or string.
      • 
 
    
 
 
    Examples:
    
@@ -50088,39 +50674,39 @@ 
    Returns:
    
 
    
             
         def
-        replace_tables(expression, mapping):
+        replace_tables(expression: ~E, mapping: Dict[str, str]) -> ~E:
 
                 
 
     
    
     
-            
    5413def replace_tables(expression, mapping):
-5414    """Replace all tables in expression according to the mapping.
-5415
-5416    Args:
-5417        expression (sqlglot.Expression): expression node to be transformed and replaced.
-5418        mapping (Dict[str, str]): mapping of table names.
-5419
-5420    Examples:
-5421        >>> from sqlglot import exp, parse_one
-5422        >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()
-5423        'SELECT * FROM c'
-5424
-5425    Returns:
-5426        The mapped expression.
-5427    """
-5428
-5429    def _replace_tables(node):
-5430        if isinstance(node, Table):
-5431            new_name = mapping.get(table_name(node))
-5432            if new_name:
-5433                return to_table(
-5434                    new_name,
-5435                    **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")},
-5436                )
-5437        return node
-5438
-5439    return expression.transform(_replace_tables)
+            
    5594def replace_tables(expression: E, mapping: t.Dict[str, str]) -> E:
+5595    """Replace all tables in expression according to the mapping.
+5596
+5597    Args:
+5598        expression: expression node to be transformed and replaced.
+5599        mapping: mapping of table names.
+5600
+5601    Examples:
+5602        >>> from sqlglot import exp, parse_one
+5603        >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()
+5604        'SELECT * FROM c'
+5605
+5606    Returns:
+5607        The mapped expression.
+5608    """
+5609
+5610    def _replace_tables(node: Expression) -> Expression:
+5611        if isinstance(node, Table):
+5612            new_name = mapping.get(table_name(node))
+5613            if new_name:
+5614                return to_table(
+5615                    new_name,
+5616                    **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")},
+5617                )
+5618        return node
+5619
+5620    return expression.transform(_replace_tables)
 
    
 
 
@@ -50129,8 +50715,8 @@ 
    Returns:
    
 
    Arguments:
    
 
 
      
-
    • expression (sqlglot.Expression):  expression node to be transformed and replaced.
      • 
-
    • mapping (Dict[str, str]):  mapping of table names.
      • 
+
    • expression:  expression node to be transformed and replaced.
      • 
+
    • mapping:  mapping of table names.
      • 
 
    
 
 
    Examples:
    
@@ -50158,46 +50744,46 @@ 
    Returns:
    
 
    
             
         def
-        replace_placeholders(expression, *args, **kwargs):
+        replace_placeholders(	expression: sqlglot.expressions.Expression,	*args,	**kwargs) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    5442def replace_placeholders(expression, *args, **kwargs):
-5443    """Replace placeholders in an expression.
-5444
-5445    Args:
-5446        expression (sqlglot.Expression): expression node to be transformed and replaced.
-5447        args: positional names that will substitute unnamed placeholders in the given order.
-5448        kwargs: keyword arguments that will substitute named placeholders.
-5449
-5450    Examples:
-5451        >>> from sqlglot import exp, parse_one
-5452        >>> replace_placeholders(
-5453        ...     parse_one("select * from :tbl where ? = ?"),
-5454        ...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")
-5455        ... ).sql()
-5456        "SELECT * FROM foo WHERE str_col = 'b'"
-5457
-5458    Returns:
-5459        The mapped expression.
-5460    """
-5461
-5462    def _replace_placeholders(node, args, **kwargs):
-5463        if isinstance(node, Placeholder):
-5464            if node.name:
-5465                new_name = kwargs.get(node.name)
-5466                if new_name:
-5467                    return convert(new_name)
-5468            else:
-5469                try:
-5470                    return convert(next(args))
-5471                except StopIteration:
-5472                    pass
-5473        return node
-5474
-5475    return expression.transform(_replace_placeholders, iter(args), **kwargs)
+            
    5623def replace_placeholders(expression: Expression, *args, **kwargs) -> Expression:
+5624    """Replace placeholders in an expression.
+5625
+5626    Args:
+5627        expression: expression node to be transformed and replaced.
+5628        args: positional names that will substitute unnamed placeholders in the given order.
+5629        kwargs: keyword arguments that will substitute named placeholders.
+5630
+5631    Examples:
+5632        >>> from sqlglot import exp, parse_one
+5633        >>> replace_placeholders(
+5634        ...     parse_one("select * from :tbl where ? = ?"),
+5635        ...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")
+5636        ... ).sql()
+5637        "SELECT * FROM foo WHERE str_col = 'b'"
+5638
+5639    Returns:
+5640        The mapped expression.
+5641    """
+5642
+5643    def _replace_placeholders(node: Expression, args, **kwargs) -> Expression:
+5644        if isinstance(node, Placeholder):
+5645            if node.name:
+5646                new_name = kwargs.get(node.name)
+5647                if new_name:
+5648                    return convert(new_name)
+5649            else:
+5650                try:
+5651                    return convert(next(args))
+5652                except StopIteration:
+5653                    pass
+5654        return node
+5655
+5656    return expression.transform(_replace_placeholders, iter(args), **kwargs)
 
    
 
 
@@ -50206,7 +50792,7 @@ 
    Returns:
    
 
    Arguments:
    
 
 
      
-
    • expression (sqlglot.Expression):  expression node to be transformed and replaced.
      • 
+
    • expression:  expression node to be transformed and replaced.
      • 
 
    • args:  positional names that will substitute unnamed placeholders in the given order.
      • 
 
    • kwargs:  keyword arguments that will substitute named placeholders.
      • 
 
    
@@ -50245,39 +50831,39 @@ 
    Returns:
    
 
     
    
     
-            
    5478def expand(
-5479    expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True
-5480) -> Expression:
-5481    """Transforms an expression by expanding all referenced sources into subqueries.
-5482
-5483    Examples:
-5484        >>> from sqlglot import parse_one
-5485        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()
-5486        'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'
-5487
-5488        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()
-5489        'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'
-5490
-5491    Args:
-5492        expression: The expression to expand.
-5493        sources: A dictionary of name to Subqueryables.
-5494        copy: Whether or not to copy the expression during transformation. Defaults to True.
-5495
-5496    Returns:
-5497        The transformed expression.
-5498    """
-5499
-5500    def _expand(node: Expression):
-5501        if isinstance(node, Table):
-5502            name = table_name(node)
-5503            source = sources.get(name)
-5504            if source:
-5505                subquery = source.subquery(node.alias or name)
-5506                subquery.comments = [f"source: {name}"]
-5507                return subquery.transform(_expand, copy=False)
-5508        return node
-5509
-5510    return expression.transform(_expand, copy=copy)
+            
    5659def expand(
+5660    expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True
+5661) -> Expression:
+5662    """Transforms an expression by expanding all referenced sources into subqueries.
+5663
+5664    Examples:
+5665        >>> from sqlglot import parse_one
+5666        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()
+5667        'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'
+5668
+5669        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()
+5670        'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'
+5671
+5672    Args:
+5673        expression: The expression to expand.
+5674        sources: A dictionary of name to Subqueryables.
+5675        copy: Whether or not to copy the expression during transformation. Defaults to True.
+5676
+5677    Returns:
+5678        The transformed expression.
+5679    """
+5680
+5681    def _expand(node: Expression):
+5682        if isinstance(node, Table):
+5683            name = table_name(node)
+5684            source = sources.get(name)
+5685            if source:
+5686                subquery = source.subquery(node.alias or name)
+5687                subquery.comments = [f"source: {name}"]
+5688                return subquery.transform(_expand, copy=False)
+5689        return node
+5690
+5691    return expression.transform(_expand, copy=copy)
 
    
 
 
@@ -50328,51 +50914,51 @@ 
    Returns:
    
 
     
    
     
-            
    5513def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func:
-5514    """
-5515    Returns a Func expression.
-5516
-5517    Examples:
-5518        >>> func("abs", 5).sql()
-5519        'ABS(5)'
-5520
-5521        >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()
-5522        'CAST(5 AS DOUBLE)'
-5523
-5524    Args:
-5525        name: the name of the function to build.
-5526        args: the args used to instantiate the function of interest.
-5527        dialect: the source dialect.
-5528        kwargs: the kwargs used to instantiate the function of interest.
-5529
-5530    Note:
-5531        The arguments `args` and `kwargs` are mutually exclusive.
-5532
-5533    Returns:
-5534        An instance of the function of interest, or an anonymous function, if `name` doesn't
-5535        correspond to an existing `sqlglot.expressions.Func` class.
-5536    """
-5537    if args and kwargs:
-5538        raise ValueError("Can't use both args and kwargs to instantiate a function.")
-5539
-5540    from sqlglot.dialects.dialect import Dialect
-5541
-5542    converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args]
-5543    kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()}
-5544
-5545    parser = Dialect.get_or_raise(dialect)().parser()
-5546    from_args_list = parser.FUNCTIONS.get(name.upper())
-5547
-5548    if from_args_list:
-5549        function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs)  # type: ignore
-5550    else:
-5551        kwargs = kwargs or {"expressions": converted}
-5552        function = Anonymous(this=name, **kwargs)
-5553
-5554    for error_message in function.error_messages(converted):
-5555        raise ValueError(error_message)
-5556
-5557    return function
+            
    5694def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func:
+5695    """
+5696    Returns a Func expression.
+5697
+5698    Examples:
+5699        >>> func("abs", 5).sql()
+5700        'ABS(5)'
+5701
+5702        >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()
+5703        'CAST(5 AS DOUBLE)'
+5704
+5705    Args:
+5706        name: the name of the function to build.
+5707        args: the args used to instantiate the function of interest.
+5708        dialect: the source dialect.
+5709        kwargs: the kwargs used to instantiate the function of interest.
+5710
+5711    Note:
+5712        The arguments `args` and `kwargs` are mutually exclusive.
+5713
+5714    Returns:
+5715        An instance of the function of interest, or an anonymous function, if `name` doesn't
+5716        correspond to an existing `sqlglot.expressions.Func` class.
+5717    """
+5718    if args and kwargs:
+5719        raise ValueError("Can't use both args and kwargs to instantiate a function.")
+5720
+5721    from sqlglot.dialects.dialect import Dialect
+5722
+5723    converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args]
+5724    kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()}
+5725
+5726    parser = Dialect.get_or_raise(dialect)().parser()
+5727    from_args_list = parser.FUNCTIONS.get(name.upper())
+5728
+5729    if from_args_list:
+5730        function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs)  # type: ignore
+5731    else:
+5732        kwargs = kwargs or {"expressions": converted}
+5733        function = Anonymous(this=name, **kwargs)
+5734
+5735    for error_message in function.error_messages(converted):
+5736        raise ValueError(error_message)
+5737
+5738    return function
 
    
 
 
@@ -50424,17 +51010,17 @@ 
    Returns:
    
 
    
             
         def
-        true():
+        true() -> sqlglot.expressions.Boolean:
 
                 
 
     
    
     
-            
    5560def true():
-5561    """
-5562    Returns a true Boolean expression.
-5563    """
-5564    return Boolean(this=True)
+            
    5741def true() -> Boolean:
+5742    """
+5743    Returns a true Boolean expression.
+5744    """
+5745    return Boolean(this=True)
 
    
 
 
@@ -50448,17 +51034,17 @@ 
    Returns:
    
 
    
             
         def
-        false():
+        false() -> sqlglot.expressions.Boolean:
 
                 
 
     
    
     
-            
    5567def false():
-5568    """
-5569    Returns a false Boolean expression.
-5570    """
-5571    return Boolean(this=False)
+            
    5748def false() -> Boolean:
+5749    """
+5750    Returns a false Boolean expression.
+5751    """
+5752    return Boolean(this=False)
 
    
 
 
@@ -50472,17 +51058,17 @@ 
    Returns:
    
 
    
             
         def
-        null():
+        null() -> sqlglot.expressions.Null:
 
                 
 
     
    
     
-            
    5574def null():
-5575    """
-5576    Returns a Null expression.
-5577    """
-5578    return Null()
+            
    5755def null() -> Null:
+5756    """
+5757    Returns a Null expression.
+5758    """
+5759    return Null()
 
    
 
 
diff --git a/docs/sqlglot/generator.html b/docs/sqlglot/generator.html
index 82a30f5f97..03b3ddc652 100644
--- a/docs/sqlglot/generator.html
+++ b/docs/sqlglot/generator.html
@@ -138,6 +138,9 @@ 
    API Documentation
    
                         
  • 
                                 bytestring_sql
                         
    • 
+                        
  • 
+                                rawstring_sql
+                        
    • 
                         
  • 
                                 datatypesize_sql
                         
    • 
@@ -788,2297 +791,2295 @@ 
    
   31        hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
   32        byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
   33        byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
-  34        identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
-  35        normalize (bool): if set to True all identifiers will lower cased
-  36        string_escape (str): specifies a string escape character. Default: '.
-  37        identifier_escape (str): specifies an identifier escape character. Default: ".
-  38        pad (int): determines padding in a formatted string. Default: 2.
-  39        indent (int): determines the size of indentation in a formatted string. Default: 4.
-  40        unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
-  41        normalize_functions (str): normalize function names, "upper", "lower", or None
-  42            Default: "upper"
-  43        alias_post_tablesample (bool): if the table alias comes after tablesample
-  44            Default: False
-  45        unsupported_level (ErrorLevel): determines the generator's behavior when it encounters
-  46            unsupported expressions. Default ErrorLevel.WARN.
-  47        null_ordering (str): Indicates the default null ordering method to use if not explicitly set.
-  48            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
-  49            Default: "nulls_are_small"
-  50        max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.
-  51            This is only relevant if unsupported_level is ErrorLevel.RAISE.
-  52            Default: 3
-  53        leading_comma (bool): if the the comma is leading or trailing in select statements
-  54            Default: False
-  55        max_text_width: The max number of characters in a segment before creating new lines in pretty mode.
-  56            The default is on the smaller end because the length only represents a segment and not the true
-  57            line length.
-  58            Default: 80
-  59        comments: Whether or not to preserve comments in the output SQL code.
-  60            Default: True
-  61    """
-  62
-  63    TRANSFORMS = {
-  64        exp.DateAdd: lambda self, e: self.func(
-  65            "DATE_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
-  66        ),
-  67        exp.TsOrDsAdd: lambda self, e: self.func(
-  68            "TS_OR_DS_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
-  69        ),
-  70        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
-  71        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
-  72        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
-  73        exp.ExternalProperty: lambda self, e: "EXTERNAL",
-  74        exp.LanguageProperty: lambda self, e: self.naked_property(e),
-  75        exp.LocationProperty: lambda self, e: self.naked_property(e),
-  76        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
-  77        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
-  78        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
-  79        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
-  80        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
-  81        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
-  82        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
-  83        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
-  84        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
-  85        exp.TransientProperty: lambda self, e: "TRANSIENT",
-  86        exp.StabilityProperty: lambda self, e: e.name,
-  87        exp.VolatileProperty: lambda self, e: "VOLATILE",
-  88        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
-  89        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
-  90        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
-  91        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
-  92        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
-  93        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
-  94        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
-  95        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
-  96        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
-  97        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
-  98        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
-  99        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
- 100        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
- 101        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
- 102    }
- 103
- 104    # Whether or not null ordering is supported in order by
- 105    NULL_ORDERING_SUPPORTED = True
- 106
- 107    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
- 108    LOCKING_READS_SUPPORTED = False
- 109
- 110    # Always do union distinct or union all
- 111    EXPLICIT_UNION = False
- 112
- 113    # Wrap derived values in parens, usually standard but spark doesn't support it
- 114    WRAP_DERIVED_VALUES = True
- 115
- 116    # Whether or not create function uses an AS before the RETURN
- 117    CREATE_FUNCTION_RETURN_AS = True
- 118
- 119    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
- 120    MATCHED_BY_SOURCE = True
- 121
- 122    # Whether or not the INTERVAL expression works only with values like '1 day'
- 123    SINGLE_STRING_INTERVAL = False
- 124
- 125    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
- 126    INTERVAL_ALLOWS_PLURAL_FORM = True
- 127
- 128    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
- 129    TABLESAMPLE_WITH_METHOD = True
- 130
- 131    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
- 132    TABLESAMPLE_SIZE_IS_PERCENT = False
- 133
- 134    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
- 135    LIMIT_FETCH = "ALL"
- 136
- 137    # Whether a table is allowed to be renamed with a db
- 138    RENAME_TABLE_WITH_DB = True
- 139
- 140    # The separator for grouping sets and rollups
- 141    GROUPINGS_SEP = ","
- 142
- 143    TYPE_MAPPING = {
- 144        exp.DataType.Type.NCHAR: "CHAR",
- 145        exp.DataType.Type.NVARCHAR: "VARCHAR",
- 146        exp.DataType.Type.MEDIUMTEXT: "TEXT",
- 147        exp.DataType.Type.LONGTEXT: "TEXT",
- 148        exp.DataType.Type.MEDIUMBLOB: "BLOB",
- 149        exp.DataType.Type.LONGBLOB: "BLOB",
- 150        exp.DataType.Type.INET: "INET",
- 151    }
- 152
- 153    STAR_MAPPING = {
- 154        "except": "EXCEPT",
- 155        "replace": "REPLACE",
+  34        raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
+  35        raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
+  36        identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
+  37        normalize (bool): if set to True all identifiers will lower cased
+  38        string_escape (str): specifies a string escape character. Default: '.
+  39        identifier_escape (str): specifies an identifier escape character. Default: ".
+  40        pad (int): determines padding in a formatted string. Default: 2.
+  41        indent (int): determines the size of indentation in a formatted string. Default: 4.
+  42        unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
+  43        normalize_functions (str): normalize function names, "upper", "lower", or None
+  44            Default: "upper"
+  45        alias_post_tablesample (bool): if the table alias comes after tablesample
+  46            Default: False
+  47        unsupported_level (ErrorLevel): determines the generator's behavior when it encounters
+  48            unsupported expressions. Default ErrorLevel.WARN.
+  49        null_ordering (str): Indicates the default null ordering method to use if not explicitly set.
+  50            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
+  51            Default: "nulls_are_small"
+  52        max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.
+  53            This is only relevant if unsupported_level is ErrorLevel.RAISE.
+  54            Default: 3
+  55        leading_comma (bool): if the the comma is leading or trailing in select statements
+  56            Default: False
+  57        max_text_width: The max number of characters in a segment before creating new lines in pretty mode.
+  58            The default is on the smaller end because the length only represents a segment and not the true
+  59            line length.
+  60            Default: 80
+  61        comments: Whether or not to preserve comments in the output SQL code.
+  62            Default: True
+  63    """
+  64
+  65    TRANSFORMS = {
+  66        exp.DateAdd: lambda self, e: self.func(
+  67            "DATE_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
+  68        ),
+  69        exp.TsOrDsAdd: lambda self, e: self.func(
+  70            "TS_OR_DS_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
+  71        ),
+  72        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
+  73        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
+  74        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
+  75        exp.ExternalProperty: lambda self, e: "EXTERNAL",
+  76        exp.LanguageProperty: lambda self, e: self.naked_property(e),
+  77        exp.LocationProperty: lambda self, e: self.naked_property(e),
+  78        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
+  79        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
+  80        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
+  81        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
+  82        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
+  83        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
+  84        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
+  85        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
+  86        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
+  87        exp.TransientProperty: lambda self, e: "TRANSIENT",
+  88        exp.StabilityProperty: lambda self, e: e.name,
+  89        exp.VolatileProperty: lambda self, e: "VOLATILE",
+  90        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
+  91        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
+  92        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
+  93        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
+  94        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
+  95        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
+  96        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
+  97        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
+  98        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
+  99        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
+ 100        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
+ 101        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
+ 102        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
+ 103        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
+ 104    }
+ 105
+ 106    # Whether or not null ordering is supported in order by
+ 107    NULL_ORDERING_SUPPORTED = True
+ 108
+ 109    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
+ 110    LOCKING_READS_SUPPORTED = False
+ 111
+ 112    # Always do union distinct or union all
+ 113    EXPLICIT_UNION = False
+ 114
+ 115    # Wrap derived values in parens, usually standard but spark doesn't support it
+ 116    WRAP_DERIVED_VALUES = True
+ 117
+ 118    # Whether or not create function uses an AS before the RETURN
+ 119    CREATE_FUNCTION_RETURN_AS = True
+ 120
+ 121    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
+ 122    MATCHED_BY_SOURCE = True
+ 123
+ 124    # Whether or not the INTERVAL expression works only with values like '1 day'
+ 125    SINGLE_STRING_INTERVAL = False
+ 126
+ 127    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
+ 128    INTERVAL_ALLOWS_PLURAL_FORM = True
+ 129
+ 130    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
+ 131    TABLESAMPLE_WITH_METHOD = True
+ 132
+ 133    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
+ 134    TABLESAMPLE_SIZE_IS_PERCENT = False
+ 135
+ 136    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
+ 137    LIMIT_FETCH = "ALL"
+ 138
+ 139    # Whether a table is allowed to be renamed with a db
+ 140    RENAME_TABLE_WITH_DB = True
+ 141
+ 142    # The separator for grouping sets and rollups
+ 143    GROUPINGS_SEP = ","
+ 144
+ 145    # The string used for creating index on a table
+ 146    INDEX_ON = "ON"
+ 147
+ 148    TYPE_MAPPING = {
+ 149        exp.DataType.Type.NCHAR: "CHAR",
+ 150        exp.DataType.Type.NVARCHAR: "VARCHAR",
+ 151        exp.DataType.Type.MEDIUMTEXT: "TEXT",
+ 152        exp.DataType.Type.LONGTEXT: "TEXT",
+ 153        exp.DataType.Type.MEDIUMBLOB: "BLOB",
+ 154        exp.DataType.Type.LONGBLOB: "BLOB",
+ 155        exp.DataType.Type.INET: "INET",
  156    }
  157
- 158    TIME_PART_SINGULARS = {
- 159        "microseconds": "microsecond",
- 160        "seconds": "second",
- 161        "minutes": "minute",
- 162        "hours": "hour",
- 163        "days": "day",
- 164        "weeks": "week",
- 165        "months": "month",
- 166        "quarters": "quarter",
- 167        "years": "year",
- 168    }
- 169
- 170    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
- 171
- 172    STRUCT_DELIMITER = ("<", ">")
- 173
- 174    PARAMETER_TOKEN = "@"
- 175
- 176    PROPERTIES_LOCATION = {
- 177        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
- 178        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
- 179        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
- 180        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
- 181        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
- 182        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
- 183        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
- 184        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
- 185        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
- 186        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 187        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
- 188        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
- 189        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
- 190        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
- 191        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
- 192        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
- 193        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
- 194        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
- 195        exp.JournalProperty: exp.Properties.Location.POST_NAME,
- 196        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
- 197        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
- 198        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
- 199        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
- 200        exp.LogProperty: exp.Properties.Location.POST_NAME,
- 201        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
- 202        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
- 203        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
- 204        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
- 205        exp.Order: exp.Properties.Location.POST_SCHEMA,
- 206        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
- 207        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
- 208        exp.Property: exp.Properties.Location.POST_WITH,
- 209        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
- 210        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
- 211        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
- 212        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
- 213        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
- 214        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
- 215        exp.Set: exp.Properties.Location.POST_SCHEMA,
- 216        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
- 217        exp.SetProperty: exp.Properties.Location.POST_CREATE,
- 218        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 219        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
- 220        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
- 221        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
- 222        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
- 223        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
- 224        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
- 225        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
- 226        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
- 227    }
- 228
- 229    JOIN_HINTS = True
- 230    TABLE_HINTS = True
- 231
- 232    RESERVED_KEYWORDS: t.Set[str] = set()
- 233    WITH_SEPARATED_COMMENTS = (exp.Select, exp.From, exp.Where, exp.With)
- 234    UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Neg, exp.Paren)
- 235
- 236    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
- 237
- 238    __slots__ = (
- 239        "time_mapping",
- 240        "time_trie",
- 241        "pretty",
- 242        "quote_start",
- 243        "quote_end",
- 244        "identifier_start",
- 245        "identifier_end",
- 246        "bit_start",
- 247        "bit_end",
- 248        "hex_start",
- 249        "hex_end",
- 250        "byte_start",
- 251        "byte_end",
- 252        "identify",
- 253        "normalize",
- 254        "string_escape",
- 255        "identifier_escape",
- 256        "pad",
- 257        "index_offset",
- 258        "unnest_column_only",
- 259        "alias_post_tablesample",
- 260        "normalize_functions",
- 261        "unsupported_level",
- 262        "unsupported_messages",
- 263        "null_ordering",
- 264        "max_unsupported",
- 265        "_indent",
- 266        "_escaped_quote_end",
- 267        "_escaped_identifier_end",
- 268        "_leading_comma",
- 269        "_max_text_width",
- 270        "_comments",
- 271        "_cache",
- 272    )
- 273
- 274    def __init__(
- 275        self,
- 276        time_mapping=None,
- 277        time_trie=None,
- 278        pretty=None,
- 279        quote_start=None,
- 280        quote_end=None,
- 281        identifier_start=None,
- 282        identifier_end=None,
- 283        bit_start=None,
- 284        bit_end=None,
- 285        hex_start=None,
- 286        hex_end=None,
- 287        byte_start=None,
- 288        byte_end=None,
- 289        identify=False,
- 290        normalize=False,
- 291        string_escape=None,
- 292        identifier_escape=None,
- 293        pad=2,
- 294        indent=2,
- 295        index_offset=0,
- 296        unnest_column_only=False,
- 297        alias_post_tablesample=False,
- 298        normalize_functions="upper",
- 299        unsupported_level=ErrorLevel.WARN,
- 300        null_ordering=None,
- 301        max_unsupported=3,
- 302        leading_comma=False,
- 303        max_text_width=80,
- 304        comments=True,
- 305    ):
- 306        import sqlglot
- 307
- 308        self.time_mapping = time_mapping or {}
- 309        self.time_trie = time_trie
- 310        self.pretty = pretty if pretty is not None else sqlglot.pretty
- 311        self.quote_start = quote_start or "'"
- 312        self.quote_end = quote_end or "'"
- 313        self.identifier_start = identifier_start or '"'
- 314        self.identifier_end = identifier_end or '"'
- 315        self.bit_start = bit_start
- 316        self.bit_end = bit_end
- 317        self.hex_start = hex_start
- 318        self.hex_end = hex_end
- 319        self.byte_start = byte_start
- 320        self.byte_end = byte_end
- 321        self.identify = identify
- 322        self.normalize = normalize
- 323        self.string_escape = string_escape or "'"
- 324        self.identifier_escape = identifier_escape or '"'
- 325        self.pad = pad
- 326        self.index_offset = index_offset
- 327        self.unnest_column_only = unnest_column_only
- 328        self.alias_post_tablesample = alias_post_tablesample
- 329        self.normalize_functions = normalize_functions
- 330        self.unsupported_level = unsupported_level
- 331        self.unsupported_messages = []
- 332        self.max_unsupported = max_unsupported
- 333        self.null_ordering = null_ordering
- 334        self._indent = indent
- 335        self._escaped_quote_end = self.string_escape + self.quote_end
- 336        self._escaped_identifier_end = self.identifier_escape + self.identifier_end
- 337        self._leading_comma = leading_comma
- 338        self._max_text_width = max_text_width
- 339        self._comments = comments
- 340        self._cache = None
- 341
- 342    def generate(
- 343        self,
- 344        expression: t.Optional[exp.Expression],
- 345        cache: t.Optional[t.Dict[int, str]] = None,
- 346    ) -> str:
- 347        """
- 348        Generates a SQL string by interpreting the given syntax tree.
- 349
- 350        Args
- 351            expression: the syntax tree.
- 352            cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
- 353
- 354        Returns
- 355            the SQL string.
- 356        """
- 357        if cache is not None:
- 358            self._cache = cache
- 359        self.unsupported_messages = []
- 360        sql = self.sql(expression).strip()
- 361        self._cache = None
- 362
- 363        if self.unsupported_level == ErrorLevel.IGNORE:
- 364            return sql
- 365
- 366        if self.unsupported_level == ErrorLevel.WARN:
- 367            for msg in self.unsupported_messages:
- 368                logger.warning(msg)
- 369        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
- 370            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
- 371
- 372        if self.pretty:
- 373            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
- 374        return sql
- 375
- 376    def unsupported(self, message: str) -> None:
- 377        if self.unsupported_level == ErrorLevel.IMMEDIATE:
- 378            raise UnsupportedError(message)
- 379        self.unsupported_messages.append(message)
- 380
- 381    def sep(self, sep: str = " ") -> str:
- 382        return f"{sep.strip()}\n" if self.pretty else sep
- 383
- 384    def seg(self, sql: str, sep: str = " ") -> str:
- 385        return f"{self.sep(sep)}{sql}"
+ 158    STAR_MAPPING = {
+ 159        "except": "EXCEPT",
+ 160        "replace": "REPLACE",
+ 161    }
+ 162
+ 163    TIME_PART_SINGULARS = {
+ 164        "microseconds": "microsecond",
+ 165        "seconds": "second",
+ 166        "minutes": "minute",
+ 167        "hours": "hour",
+ 168        "days": "day",
+ 169        "weeks": "week",
+ 170        "months": "month",
+ 171        "quarters": "quarter",
+ 172        "years": "year",
+ 173    }
+ 174
+ 175    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
+ 176
+ 177    STRUCT_DELIMITER = ("<", ">")
+ 178
+ 179    PARAMETER_TOKEN = "@"
+ 180
+ 181    PROPERTIES_LOCATION = {
+ 182        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
+ 183        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
+ 184        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
+ 185        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
+ 186        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
+ 187        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
+ 188        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
+ 189        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
+ 190        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
+ 191        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 192        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
+ 193        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
+ 194        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
+ 195        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
+ 196        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
+ 197        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
+ 198        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
+ 199        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
+ 200        exp.JournalProperty: exp.Properties.Location.POST_NAME,
+ 201        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
+ 202        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
+ 203        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
+ 204        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
+ 205        exp.LogProperty: exp.Properties.Location.POST_NAME,
+ 206        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
+ 207        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
+ 208        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
+ 209        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
+ 210        exp.Order: exp.Properties.Location.POST_SCHEMA,
+ 211        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
+ 212        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
+ 213        exp.Property: exp.Properties.Location.POST_WITH,
+ 214        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
+ 215        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
+ 216        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
+ 217        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
+ 218        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
+ 219        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
+ 220        exp.Set: exp.Properties.Location.POST_SCHEMA,
+ 221        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
+ 222        exp.SetProperty: exp.Properties.Location.POST_CREATE,
+ 223        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 224        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
+ 225        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
+ 226        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
+ 227        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
+ 228        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
+ 229        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
+ 230        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
+ 231        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
+ 232    }
+ 233
+ 234    JOIN_HINTS = True
+ 235    TABLE_HINTS = True
+ 236
+ 237    RESERVED_KEYWORDS: t.Set[str] = set()
+ 238    WITH_SEPARATED_COMMENTS = (exp.Select, exp.From, exp.Where, exp.With)
+ 239    UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Neg, exp.Paren)
+ 240
+ 241    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
+ 242
+ 243    __slots__ = (
+ 244        "time_mapping",
+ 245        "time_trie",
+ 246        "pretty",
+ 247        "quote_start",
+ 248        "quote_end",
+ 249        "identifier_start",
+ 250        "identifier_end",
+ 251        "bit_start",
+ 252        "bit_end",
+ 253        "hex_start",
+ 254        "hex_end",
+ 255        "byte_start",
+ 256        "byte_end",
+ 257        "raw_start",
+ 258        "raw_end",
+ 259        "identify",
+ 260        "normalize",
+ 261        "string_escape",
+ 262        "identifier_escape",
+ 263        "pad",
+ 264        "index_offset",
+ 265        "unnest_column_only",
+ 266        "alias_post_tablesample",
+ 267        "normalize_functions",
+ 268        "unsupported_level",
+ 269        "unsupported_messages",
+ 270        "null_ordering",
+ 271        "max_unsupported",
+ 272        "_indent",
+ 273        "_escaped_quote_end",
+ 274        "_escaped_identifier_end",
+ 275        "_leading_comma",
+ 276        "_max_text_width",
+ 277        "_comments",
+ 278        "_cache",
+ 279    )
+ 280
+ 281    def __init__(
+ 282        self,
+ 283        time_mapping=None,
+ 284        time_trie=None,
+ 285        pretty=None,
+ 286        quote_start=None,
+ 287        quote_end=None,
+ 288        identifier_start=None,
+ 289        identifier_end=None,
+ 290        bit_start=None,
+ 291        bit_end=None,
+ 292        hex_start=None,
+ 293        hex_end=None,
+ 294        byte_start=None,
+ 295        byte_end=None,
+ 296        raw_start=None,
+ 297        raw_end=None,
+ 298        identify=False,
+ 299        normalize=False,
+ 300        string_escape=None,
+ 301        identifier_escape=None,
+ 302        pad=2,
+ 303        indent=2,
+ 304        index_offset=0,
+ 305        unnest_column_only=False,
+ 306        alias_post_tablesample=False,
+ 307        normalize_functions="upper",
+ 308        unsupported_level=ErrorLevel.WARN,
+ 309        null_ordering=None,
+ 310        max_unsupported=3,
+ 311        leading_comma=False,
+ 312        max_text_width=80,
+ 313        comments=True,
+ 314    ):
+ 315        import sqlglot
+ 316
+ 317        self.time_mapping = time_mapping or {}
+ 318        self.time_trie = time_trie
+ 319        self.pretty = pretty if pretty is not None else sqlglot.pretty
+ 320        self.quote_start = quote_start or "'"
+ 321        self.quote_end = quote_end or "'"
+ 322        self.identifier_start = identifier_start or '"'
+ 323        self.identifier_end = identifier_end or '"'
+ 324        self.bit_start = bit_start
+ 325        self.bit_end = bit_end
+ 326        self.hex_start = hex_start
+ 327        self.hex_end = hex_end
+ 328        self.byte_start = byte_start
+ 329        self.byte_end = byte_end
+ 330        self.raw_start = raw_start
+ 331        self.raw_end = raw_end
+ 332        self.identify = identify
+ 333        self.normalize = normalize
+ 334        self.string_escape = string_escape or "'"
+ 335        self.identifier_escape = identifier_escape or '"'
+ 336        self.pad = pad
+ 337        self.index_offset = index_offset
+ 338        self.unnest_column_only = unnest_column_only
+ 339        self.alias_post_tablesample = alias_post_tablesample
+ 340        self.normalize_functions = normalize_functions
+ 341        self.unsupported_level = unsupported_level
+ 342        self.unsupported_messages = []
+ 343        self.max_unsupported = max_unsupported
+ 344        self.null_ordering = null_ordering
+ 345        self._indent = indent
+ 346        self._escaped_quote_end = self.string_escape + self.quote_end
+ 347        self._escaped_identifier_end = self.identifier_escape + self.identifier_end
+ 348        self._leading_comma = leading_comma
+ 349        self._max_text_width = max_text_width
+ 350        self._comments = comments
+ 351        self._cache = None
+ 352
+ 353    def generate(
+ 354        self,
+ 355        expression: t.Optional[exp.Expression],
+ 356        cache: t.Optional[t.Dict[int, str]] = None,
+ 357    ) -> str:
+ 358        """
+ 359        Generates a SQL string by interpreting the given syntax tree.
+ 360
+ 361        Args
+ 362            expression: the syntax tree.
+ 363            cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
+ 364
+ 365        Returns
+ 366            the SQL string.
+ 367        """
+ 368        if cache is not None:
+ 369            self._cache = cache
+ 370        self.unsupported_messages = []
+ 371        sql = self.sql(expression).strip()
+ 372        self._cache = None
+ 373
+ 374        if self.unsupported_level == ErrorLevel.IGNORE:
+ 375            return sql
+ 376
+ 377        if self.unsupported_level == ErrorLevel.WARN:
+ 378            for msg in self.unsupported_messages:
+ 379                logger.warning(msg)
+ 380        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
+ 381            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
+ 382
+ 383        if self.pretty:
+ 384            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
+ 385        return sql
  386
- 387    def pad_comment(self, comment: str) -> str:
- 388        comment = " " + comment if comment[0].strip() else comment
- 389        comment = comment + " " if comment[-1].strip() else comment
- 390        return comment
+ 387    def unsupported(self, message: str) -> None:
+ 388        if self.unsupported_level == ErrorLevel.IMMEDIATE:
+ 389            raise UnsupportedError(message)
+ 390        self.unsupported_messages.append(message)
  391
- 392    def maybe_comment(
- 393        self,
- 394        sql: str,
- 395        expression: t.Optional[exp.Expression] = None,
- 396        comments: t.Optional[t.List[str]] = None,
- 397    ) -> str:
- 398        comments = ((expression and expression.comments) if comments is None else comments) if self._comments else None  # type: ignore
- 399
- 400        if not comments or isinstance(expression, exp.Binary):
- 401            return sql
+ 392    def sep(self, sep: str = " ") -> str:
+ 393        return f"{sep.strip()}\n" if self.pretty else sep
+ 394
+ 395    def seg(self, sql: str, sep: str = " ") -> str:
+ 396        return f"{self.sep(sep)}{sql}"
+ 397
+ 398    def pad_comment(self, comment: str) -> str:
+ 399        comment = " " + comment if comment[0].strip() else comment
+ 400        comment = comment + " " if comment[-1].strip() else comment
+ 401        return comment
  402
- 403        sep = "\n" if self.pretty else " "
- 404        comments_sql = sep.join(
- 405            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
- 406        )
- 407
- 408        if not comments_sql:
- 409            return sql
+ 403    def maybe_comment(
+ 404        self,
+ 405        sql: str,
+ 406        expression: t.Optional[exp.Expression] = None,
+ 407        comments: t.Optional[t.List[str]] = None,
+ 408    ) -> str:
+ 409        comments = ((expression and expression.comments) if comments is None else comments) if self._comments else None  # type: ignore
  410
- 411        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
- 412            return (
- 413                f"{self.sep()}{comments_sql}{sql}"
- 414                if sql[0].isspace()
- 415                else f"{comments_sql}{self.sep()}{sql}"
- 416            )
- 417
- 418        return f"{sql} {comments_sql}"
- 419
- 420    def wrap(self, expression: exp.Expression | str) -> str:
- 421        this_sql = self.indent(
- 422            self.sql(expression)
- 423            if isinstance(expression, (exp.Select, exp.Union))
- 424            else self.sql(expression, "this"),
- 425            level=1,
- 426            pad=0,
- 427        )
- 428        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
- 429
- 430    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
- 431        original = self.identify
- 432        self.identify = False
- 433        result = func(*args, **kwargs)
- 434        self.identify = original
- 435        return result
- 436
- 437    def normalize_func(self, name: str) -> str:
- 438        if self.normalize_functions == "upper":
- 439            return name.upper()
- 440        if self.normalize_functions == "lower":
- 441            return name.lower()
- 442        return name
- 443
- 444    def indent(
- 445        self,
- 446        sql: str,
- 447        level: int = 0,
- 448        pad: t.Optional[int] = None,
- 449        skip_first: bool = False,
- 450        skip_last: bool = False,
- 451    ) -> str:
- 452        if not self.pretty:
- 453            return sql
+ 411        if not comments or isinstance(expression, exp.Binary):
+ 412            return sql
+ 413
+ 414        sep = "\n" if self.pretty else " "
+ 415        comments_sql = sep.join(
+ 416            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
+ 417        )
+ 418
+ 419        if not comments_sql:
+ 420            return sql
+ 421
+ 422        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
+ 423            return (
+ 424                f"{self.sep()}{comments_sql}{sql}"
+ 425                if sql[0].isspace()
+ 426                else f"{comments_sql}{self.sep()}{sql}"
+ 427            )
+ 428
+ 429        return f"{sql} {comments_sql}"
+ 430
+ 431    def wrap(self, expression: exp.Expression | str) -> str:
+ 432        this_sql = self.indent(
+ 433            self.sql(expression)
+ 434            if isinstance(expression, (exp.Select, exp.Union))
+ 435            else self.sql(expression, "this"),
+ 436            level=1,
+ 437            pad=0,
+ 438        )
+ 439        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
+ 440
+ 441    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
+ 442        original = self.identify
+ 443        self.identify = False
+ 444        result = func(*args, **kwargs)
+ 445        self.identify = original
+ 446        return result
+ 447
+ 448    def normalize_func(self, name: str) -> str:
+ 449        if self.normalize_functions == "upper":
+ 450            return name.upper()
+ 451        if self.normalize_functions == "lower":
+ 452            return name.lower()
+ 453        return name
  454
- 455        pad = self.pad if pad is None else pad
- 456        lines = sql.split("\n")
- 457
- 458        return "\n".join(
- 459            line
- 460            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
- 461            else f"{' ' * (level * self._indent + pad)}{line}"
- 462            for i, line in enumerate(lines)
- 463        )
- 464
- 465    def sql(
- 466        self,
- 467        expression: t.Optional[str | exp.Expression],
- 468        key: t.Optional[str] = None,
- 469        comment: bool = True,
- 470    ) -> str:
- 471        if not expression:
- 472            return ""
- 473
- 474        if isinstance(expression, str):
- 475            return expression
- 476
- 477        if key:
- 478            return self.sql(expression.args.get(key))
- 479
- 480        if self._cache is not None:
- 481            expression_id = hash(expression)
- 482
- 483            if expression_id in self._cache:
- 484                return self._cache[expression_id]
- 485
- 486        transform = self.TRANSFORMS.get(expression.__class__)
+ 455    def indent(
+ 456        self,
+ 457        sql: str,
+ 458        level: int = 0,
+ 459        pad: t.Optional[int] = None,
+ 460        skip_first: bool = False,
+ 461        skip_last: bool = False,
+ 462    ) -> str:
+ 463        if not self.pretty:
+ 464            return sql
+ 465
+ 466        pad = self.pad if pad is None else pad
+ 467        lines = sql.split("\n")
+ 468
+ 469        return "\n".join(
+ 470            line
+ 471            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
+ 472            else f"{' ' * (level * self._indent + pad)}{line}"
+ 473            for i, line in enumerate(lines)
+ 474        )
+ 475
+ 476    def sql(
+ 477        self,
+ 478        expression: t.Optional[str | exp.Expression],
+ 479        key: t.Optional[str] = None,
+ 480        comment: bool = True,
+ 481    ) -> str:
+ 482        if not expression:
+ 483            return ""
+ 484
+ 485        if isinstance(expression, str):
+ 486            return expression
  487
- 488        if callable(transform):
- 489            sql = transform(self, expression)
- 490        elif transform:
- 491            sql = transform
- 492        elif isinstance(expression, exp.Expression):
- 493            exp_handler_name = f"{expression.key}_sql"
- 494
- 495            if hasattr(self, exp_handler_name):
- 496                sql = getattr(self, exp_handler_name)(expression)
- 497            elif isinstance(expression, exp.Func):
- 498                sql = self.function_fallback_sql(expression)
- 499            elif isinstance(expression, exp.Property):
- 500                sql = self.property_sql(expression)
- 501            else:
- 502                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
- 503        else:
- 504            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
+ 488        if key:
+ 489            return self.sql(expression.args.get(key))
+ 490
+ 491        if self._cache is not None:
+ 492            expression_id = hash(expression)
+ 493
+ 494            if expression_id in self._cache:
+ 495                return self._cache[expression_id]
+ 496
+ 497        transform = self.TRANSFORMS.get(expression.__class__)
+ 498
+ 499        if callable(transform):
+ 500            sql = transform(self, expression)
+ 501        elif transform:
+ 502            sql = transform
+ 503        elif isinstance(expression, exp.Expression):
+ 504            exp_handler_name = f"{expression.key}_sql"
  505
- 506        sql = self.maybe_comment(sql, expression) if self._comments and comment else sql
- 507
- 508        if self._cache is not None:
- 509            self._cache[expression_id] = sql
- 510        return sql
- 511
- 512    def uncache_sql(self, expression: exp.Uncache) -> str:
- 513        table = self.sql(expression, "this")
- 514        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
- 515        return f"UNCACHE TABLE{exists_sql} {table}"
+ 506            if hasattr(self, exp_handler_name):
+ 507                sql = getattr(self, exp_handler_name)(expression)
+ 508            elif isinstance(expression, exp.Func):
+ 509                sql = self.function_fallback_sql(expression)
+ 510            elif isinstance(expression, exp.Property):
+ 511                sql = self.property_sql(expression)
+ 512            else:
+ 513                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
+ 514        else:
+ 515            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
  516
- 517    def cache_sql(self, expression: exp.Cache) -> str:
- 518        lazy = " LAZY" if expression.args.get("lazy") else ""
- 519        table = self.sql(expression, "this")
- 520        options = expression.args.get("options")
- 521        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
- 522        sql = self.sql(expression, "expression")
- 523        sql = f" AS{self.sep()}{sql}" if sql else ""
- 524        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
- 525        return self.prepend_ctes(expression, sql)
- 526
- 527    def characterset_sql(self, expression: exp.CharacterSet) -> str:
- 528        if isinstance(expression.parent, exp.Cast):
- 529            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
- 530        default = "DEFAULT " if expression.args.get("default") else ""
- 531        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
- 532
- 533    def column_sql(self, expression: exp.Column) -> str:
- 534        return ".".join(
- 535            self.sql(part)
- 536            for part in (
- 537                expression.args.get("catalog"),
- 538                expression.args.get("db"),
- 539                expression.args.get("table"),
- 540                expression.args.get("this"),
- 541            )
- 542            if part
- 543        )
- 544
- 545    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
- 546        this = self.sql(expression, "this")
- 547        this = f" {this}" if this else ""
- 548        position = self.sql(expression, "position")
- 549        return f"{position}{this}"
- 550
- 551    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
- 552        column = self.sql(expression, "this")
- 553        kind = self.sql(expression, "kind")
- 554        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
- 555        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
- 556        kind = f"{sep}{kind}" if kind else ""
- 557        constraints = f" {constraints}" if constraints else ""
- 558        position = self.sql(expression, "position")
- 559        position = f" {position}" if position else ""
- 560
- 561        return f"{exists}{column}{kind}{constraints}{position}"
- 562
- 563    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
- 564        this = self.sql(expression, "this")
- 565        kind_sql = self.sql(expression, "kind").strip()
- 566        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
- 567
- 568    def autoincrementcolumnconstraint_sql(self, _) -> str:
- 569        return self.token_sql(TokenType.AUTO_INCREMENT)
- 570
- 571    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
- 572        if isinstance(expression.this, list):
- 573            this = self.wrap(self.expressions(expression, key="this", flat=True))
- 574        else:
- 575            this = self.sql(expression, "this")
- 576
- 577        return f"COMPRESS {this}"
+ 517        sql = self.maybe_comment(sql, expression) if self._comments and comment else sql
+ 518
+ 519        if self._cache is not None:
+ 520            self._cache[expression_id] = sql
+ 521        return sql
+ 522
+ 523    def uncache_sql(self, expression: exp.Uncache) -> str:
+ 524        table = self.sql(expression, "this")
+ 525        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
+ 526        return f"UNCACHE TABLE{exists_sql} {table}"
+ 527
+ 528    def cache_sql(self, expression: exp.Cache) -> str:
+ 529        lazy = " LAZY" if expression.args.get("lazy") else ""
+ 530        table = self.sql(expression, "this")
+ 531        options = expression.args.get("options")
+ 532        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
+ 533        sql = self.sql(expression, "expression")
+ 534        sql = f" AS{self.sep()}{sql}" if sql else ""
+ 535        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
+ 536        return self.prepend_ctes(expression, sql)
+ 537
+ 538    def characterset_sql(self, expression: exp.CharacterSet) -> str:
+ 539        if isinstance(expression.parent, exp.Cast):
+ 540            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
+ 541        default = "DEFAULT " if expression.args.get("default") else ""
+ 542        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
+ 543
+ 544    def column_sql(self, expression: exp.Column) -> str:
+ 545        return ".".join(
+ 546            self.sql(part)
+ 547            for part in (
+ 548                expression.args.get("catalog"),
+ 549                expression.args.get("db"),
+ 550                expression.args.get("table"),
+ 551                expression.args.get("this"),
+ 552            )
+ 553            if part
+ 554        )
+ 555
+ 556    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
+ 557        this = self.sql(expression, "this")
+ 558        this = f" {this}" if this else ""
+ 559        position = self.sql(expression, "position")
+ 560        return f"{position}{this}"
+ 561
+ 562    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
+ 563        column = self.sql(expression, "this")
+ 564        kind = self.sql(expression, "kind")
+ 565        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
+ 566        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
+ 567        kind = f"{sep}{kind}" if kind else ""
+ 568        constraints = f" {constraints}" if constraints else ""
+ 569        position = self.sql(expression, "position")
+ 570        position = f" {position}" if position else ""
+ 571
+ 572        return f"{exists}{column}{kind}{constraints}{position}"
+ 573
+ 574    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
+ 575        this = self.sql(expression, "this")
+ 576        kind_sql = self.sql(expression, "kind").strip()
+ 577        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
  578
- 579    def generatedasidentitycolumnconstraint_sql(
- 580        self, expression: exp.GeneratedAsIdentityColumnConstraint
- 581    ) -> str:
- 582        this = ""
- 583        if expression.this is not None:
- 584            on_null = "ON NULL " if expression.args.get("on_null") else ""
- 585            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
- 586
- 587        start = expression.args.get("start")
- 588        start = f"START WITH {start}" if start else ""
- 589        increment = expression.args.get("increment")
- 590        increment = f" INCREMENT BY {increment}" if increment else ""
- 591        minvalue = expression.args.get("minvalue")
- 592        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
- 593        maxvalue = expression.args.get("maxvalue")
- 594        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
- 595        cycle = expression.args.get("cycle")
- 596        cycle_sql = ""
+ 579    def autoincrementcolumnconstraint_sql(self, _) -> str:
+ 580        return self.token_sql(TokenType.AUTO_INCREMENT)
+ 581
+ 582    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
+ 583        if isinstance(expression.this, list):
+ 584            this = self.wrap(self.expressions(expression, key="this", flat=True))
+ 585        else:
+ 586            this = self.sql(expression, "this")
+ 587
+ 588        return f"COMPRESS {this}"
+ 589
+ 590    def generatedasidentitycolumnconstraint_sql(
+ 591        self, expression: exp.GeneratedAsIdentityColumnConstraint
+ 592    ) -> str:
+ 593        this = ""
+ 594        if expression.this is not None:
+ 595            on_null = "ON NULL " if expression.args.get("on_null") else ""
+ 596            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
  597
- 598        if cycle is not None:
- 599            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
- 600            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
- 601
- 602        sequence_opts = ""
- 603        if start or increment or cycle_sql:
- 604            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
- 605            sequence_opts = f" ({sequence_opts.strip()})"
- 606
- 607        expr = self.sql(expression, "expression")
- 608        expr = f"({expr})" if expr else "IDENTITY"
- 609
- 610        return f"GENERATED{this}AS {expr}{sequence_opts}"
- 611
- 612    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
- 613        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
- 614
- 615    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
- 616        desc = expression.args.get("desc")
- 617        if desc is not None:
- 618            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
- 619        return f"PRIMARY KEY"
+ 598        start = expression.args.get("start")
+ 599        start = f"START WITH {start}" if start else ""
+ 600        increment = expression.args.get("increment")
+ 601        increment = f" INCREMENT BY {increment}" if increment else ""
+ 602        minvalue = expression.args.get("minvalue")
+ 603        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
+ 604        maxvalue = expression.args.get("maxvalue")
+ 605        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
+ 606        cycle = expression.args.get("cycle")
+ 607        cycle_sql = ""
+ 608
+ 609        if cycle is not None:
+ 610            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
+ 611            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
+ 612
+ 613        sequence_opts = ""
+ 614        if start or increment or cycle_sql:
+ 615            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
+ 616            sequence_opts = f" ({sequence_opts.strip()})"
+ 617
+ 618        expr = self.sql(expression, "expression")
+ 619        expr = f"({expr})" if expr else "IDENTITY"
  620
- 621    def uniquecolumnconstraint_sql(self, _) -> str:
- 622        return "UNIQUE"
- 623
- 624    def create_sql(self, expression: exp.Create) -> str:
- 625        kind = self.sql(expression, "kind").upper()
- 626        properties = expression.args.get("properties")
- 627        properties_exp = expression.copy()
- 628        properties_locs = self.locate_properties(properties) if properties else {}
- 629        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
- 630            exp.Properties.Location.POST_WITH
- 631        ):
- 632            properties_exp.set(
- 633                "properties",
- 634                exp.Properties(
- 635                    expressions=[
- 636                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
- 637                        *properties_locs[exp.Properties.Location.POST_WITH],
- 638                    ]
- 639                ),
- 640            )
- 641        if kind == "TABLE" and properties_locs.get(exp.Properties.Location.POST_NAME):
- 642            this_name = self.sql(expression.this, "this")
- 643            this_properties = self.properties(
- 644                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_NAME]),
- 645                wrapped=False,
- 646            )
- 647            this_schema = f"({self.expressions(expression.this)})"
- 648            this = f"{this_name}, {this_properties} {this_schema}"
- 649            properties_sql = ""
- 650        else:
- 651            this = self.sql(expression, "this")
- 652            properties_sql = self.sql(properties_exp, "properties")
- 653        begin = " BEGIN" if expression.args.get("begin") else ""
- 654        expression_sql = self.sql(expression, "expression")
- 655        if expression_sql:
- 656            expression_sql = f"{begin}{self.sep()}{expression_sql}"
- 657
- 658            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
- 659                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
- 660                    postalias_props_sql = self.properties(
- 661                        exp.Properties(
- 662                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
- 663                        ),
- 664                        wrapped=False,
- 665                    )
- 666                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
- 667                else:
- 668                    expression_sql = f" AS{expression_sql}"
- 669
- 670        postindex_props_sql = ""
- 671        if properties_locs.get(exp.Properties.Location.POST_INDEX):
- 672            postindex_props_sql = self.properties(
- 673                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
- 674                wrapped=False,
- 675                prefix=" ",
- 676            )
- 677
- 678        indexes = expression.args.get("indexes")
- 679        if indexes:
- 680            indexes_sql: t.List[str] = []
- 681            for index in indexes:
- 682                ind_unique = " UNIQUE" if index.args.get("unique") else ""
- 683                ind_primary = " PRIMARY" if index.args.get("primary") else ""
- 684                ind_amp = " AMP" if index.args.get("amp") else ""
- 685                ind_name = f" {index.name}" if index.name else ""
- 686                ind_columns = (
- 687                    f' ({self.expressions(index, key="columns", flat=True)})'
- 688                    if index.args.get("columns")
- 689                    else ""
- 690                )
- 691                ind_sql = f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}"
+ 621        return f"GENERATED{this}AS {expr}{sequence_opts}"
+ 622
+ 623    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
+ 624        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
+ 625
+ 626    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
+ 627        desc = expression.args.get("desc")
+ 628        if desc is not None:
+ 629            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
+ 630        return f"PRIMARY KEY"
+ 631
+ 632    def uniquecolumnconstraint_sql(self, _) -> str:
+ 633        return "UNIQUE"
+ 634
+ 635    def create_sql(self, expression: exp.Create) -> str:
+ 636        kind = self.sql(expression, "kind").upper()
+ 637        properties = expression.args.get("properties")
+ 638        properties_exp = expression.copy()
+ 639        properties_locs = self.locate_properties(properties) if properties else {}
+ 640        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
+ 641            exp.Properties.Location.POST_WITH
+ 642        ):
+ 643            properties_exp.set(
+ 644                "properties",
+ 645                exp.Properties(
+ 646                    expressions=[
+ 647                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
+ 648                        *properties_locs[exp.Properties.Location.POST_WITH],
+ 649                    ]
+ 650                ),
+ 651            )
+ 652        if kind == "TABLE" and properties_locs.get(exp.Properties.Location.POST_NAME):
+ 653            this_name = self.sql(expression.this, "this")
+ 654            this_properties = self.properties(
+ 655                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_NAME]),
+ 656                wrapped=False,
+ 657            )
+ 658            this_schema = f"({self.expressions(expression.this)})"
+ 659            this = f"{this_name}, {this_properties} {this_schema}"
+ 660            properties_sql = ""
+ 661        else:
+ 662            this = self.sql(expression, "this")
+ 663            properties_sql = self.sql(properties_exp, "properties")
+ 664        begin = " BEGIN" if expression.args.get("begin") else ""
+ 665        expression_sql = self.sql(expression, "expression")
+ 666        if expression_sql:
+ 667            expression_sql = f"{begin}{self.sep()}{expression_sql}"
+ 668
+ 669            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
+ 670                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
+ 671                    postalias_props_sql = self.properties(
+ 672                        exp.Properties(
+ 673                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
+ 674                        ),
+ 675                        wrapped=False,
+ 676                    )
+ 677                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
+ 678                else:
+ 679                    expression_sql = f" AS{expression_sql}"
+ 680
+ 681        postindex_props_sql = ""
+ 682        if properties_locs.get(exp.Properties.Location.POST_INDEX):
+ 683            postindex_props_sql = self.properties(
+ 684                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
+ 685                wrapped=False,
+ 686                prefix=" ",
+ 687            )
+ 688
+ 689        indexes = self.expressions(expression, "indexes", indent=False, sep=" ")
+ 690        indexes = f" {indexes}" if indexes else ""
+ 691        index_sql = indexes + postindex_props_sql
  692
- 693                if indexes_sql:
- 694                    indexes_sql.append(ind_sql)
- 695                else:
- 696                    indexes_sql.append(
- 697                        f"{ind_sql}{postindex_props_sql}"
- 698                        if index.args.get("primary")
- 699                        else f"{postindex_props_sql}{ind_sql}"
- 700                    )
- 701
- 702            index_sql = "".join(indexes_sql)
- 703        else:
- 704            index_sql = postindex_props_sql
- 705
- 706        replace = " OR REPLACE" if expression.args.get("replace") else ""
- 707        unique = " UNIQUE" if expression.args.get("unique") else ""
- 708
- 709        postcreate_props_sql = ""
- 710        if properties_locs.get(exp.Properties.Location.POST_CREATE):
- 711            postcreate_props_sql = self.properties(
- 712                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+ 693        replace = " OR REPLACE" if expression.args.get("replace") else ""
+ 694        unique = " UNIQUE" if expression.args.get("unique") else ""
+ 695
+ 696        postcreate_props_sql = ""
+ 697        if properties_locs.get(exp.Properties.Location.POST_CREATE):
+ 698            postcreate_props_sql = self.properties(
+ 699                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+ 700                sep=" ",
+ 701                prefix=" ",
+ 702                wrapped=False,
+ 703            )
+ 704
+ 705        modifiers = "".join((replace, unique, postcreate_props_sql))
+ 706
+ 707        postexpression_props_sql = ""
+ 708        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
+ 709            postexpression_props_sql = self.properties(
+ 710                exp.Properties(
+ 711                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
+ 712                ),
  713                sep=" ",
  714                prefix=" ",
  715                wrapped=False,
  716            )
  717
- 718        modifiers = "".join((replace, unique, postcreate_props_sql))
- 719
- 720        postexpression_props_sql = ""
- 721        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
- 722            postexpression_props_sql = self.properties(
- 723                exp.Properties(
- 724                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
- 725                ),
- 726                sep=" ",
- 727                prefix=" ",
- 728                wrapped=False,
- 729            )
- 730
- 731        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
- 732        no_schema_binding = (
- 733            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
- 734        )
- 735
- 736        clone = self.sql(expression, "clone")
- 737        clone = f" {clone}" if clone else ""
- 738
- 739        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
- 740        return self.prepend_ctes(expression, expression_sql)
- 741
- 742    def clone_sql(self, expression: exp.Clone) -> str:
- 743        this = self.sql(expression, "this")
- 744        when = self.sql(expression, "when")
- 745
- 746        if when:
- 747            kind = self.sql(expression, "kind")
- 748            expr = self.sql(expression, "expression")
- 749            return f"CLONE {this} {when} ({kind} => {expr})"
- 750
- 751        return f"CLONE {this}"
+ 718        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
+ 719        no_schema_binding = (
+ 720            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
+ 721        )
+ 722
+ 723        clone = self.sql(expression, "clone")
+ 724        clone = f" {clone}" if clone else ""
+ 725
+ 726        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
+ 727        return self.prepend_ctes(expression, expression_sql)
+ 728
+ 729    def clone_sql(self, expression: exp.Clone) -> str:
+ 730        this = self.sql(expression, "this")
+ 731        when = self.sql(expression, "when")
+ 732
+ 733        if when:
+ 734            kind = self.sql(expression, "kind")
+ 735            expr = self.sql(expression, "expression")
+ 736            return f"CLONE {this} {when} ({kind} => {expr})"
+ 737
+ 738        return f"CLONE {this}"
+ 739
+ 740    def describe_sql(self, expression: exp.Describe) -> str:
+ 741        return f"DESCRIBE {self.sql(expression, 'this')}"
+ 742
+ 743    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
+ 744        with_ = self.sql(expression, "with")
+ 745        if with_:
+ 746            sql = f"{with_}{self.sep()}{sql}"
+ 747        return sql
+ 748
+ 749    def with_sql(self, expression: exp.With) -> str:
+ 750        sql = self.expressions(expression, flat=True)
+ 751        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
  752
- 753    def describe_sql(self, expression: exp.Describe) -> str:
- 754        return f"DESCRIBE {self.sql(expression, 'this')}"
- 755
- 756    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
- 757        with_ = self.sql(expression, "with")
- 758        if with_:
- 759            sql = f"{with_}{self.sep()}{sql}"
- 760        return sql
- 761
- 762    def with_sql(self, expression: exp.With) -> str:
- 763        sql = self.expressions(expression, flat=True)
- 764        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
- 765
- 766        return f"WITH {recursive}{sql}"
- 767
- 768    def cte_sql(self, expression: exp.CTE) -> str:
- 769        alias = self.sql(expression, "alias")
- 770        return f"{alias} AS {self.wrap(expression)}"
- 771
- 772    def tablealias_sql(self, expression: exp.TableAlias) -> str:
- 773        alias = self.sql(expression, "this")
- 774        columns = self.expressions(expression, key="columns", flat=True)
- 775        columns = f"({columns})" if columns else ""
- 776        return f"{alias}{columns}"
- 777
- 778    def bitstring_sql(self, expression: exp.BitString) -> str:
- 779        this = self.sql(expression, "this")
- 780        if self.bit_start:
- 781            return f"{self.bit_start}{this}{self.bit_end}"
- 782        return f"{int(this, 2)}"
- 783
- 784    def hexstring_sql(self, expression: exp.HexString) -> str:
- 785        this = self.sql(expression, "this")
- 786        if self.hex_start:
- 787            return f"{self.hex_start}{this}{self.hex_end}"
- 788        return f"{int(this, 16)}"
- 789
- 790    def bytestring_sql(self, expression: exp.ByteString) -> str:
- 791        this = self.sql(expression, "this")
- 792        if self.byte_start:
- 793            return f"{self.byte_start}{this}{self.byte_end}"
- 794        return this
- 795
- 796    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
- 797        this = self.sql(expression, "this")
- 798        specifier = self.sql(expression, "expression")
- 799        specifier = f" {specifier}" if specifier else ""
- 800        return f"{this}{specifier}"
- 801
- 802    def datatype_sql(self, expression: exp.DataType) -> str:
- 803        type_value = expression.this
- 804        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
- 805        nested = ""
- 806        interior = self.expressions(expression, flat=True)
- 807        values = ""
- 808        if interior:
- 809            if expression.args.get("nested"):
- 810                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
- 811                if expression.args.get("values") is not None:
- 812                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
- 813                    values = f"{delimiters[0]}{self.expressions(expression, key='values')}{delimiters[1]}"
- 814            else:
- 815                nested = f"({interior})"
+ 753        return f"WITH {recursive}{sql}"
+ 754
+ 755    def cte_sql(self, expression: exp.CTE) -> str:
+ 756        alias = self.sql(expression, "alias")
+ 757        return f"{alias} AS {self.wrap(expression)}"
+ 758
+ 759    def tablealias_sql(self, expression: exp.TableAlias) -> str:
+ 760        alias = self.sql(expression, "this")
+ 761        columns = self.expressions(expression, key="columns", flat=True)
+ 762        columns = f"({columns})" if columns else ""
+ 763        return f"{alias}{columns}"
+ 764
+ 765    def bitstring_sql(self, expression: exp.BitString) -> str:
+ 766        this = self.sql(expression, "this")
+ 767        if self.bit_start:
+ 768            return f"{self.bit_start}{this}{self.bit_end}"
+ 769        return f"{int(this, 2)}"
+ 770
+ 771    def hexstring_sql(self, expression: exp.HexString) -> str:
+ 772        this = self.sql(expression, "this")
+ 773        if self.hex_start:
+ 774            return f"{self.hex_start}{this}{self.hex_end}"
+ 775        return f"{int(this, 16)}"
+ 776
+ 777    def bytestring_sql(self, expression: exp.ByteString) -> str:
+ 778        this = self.sql(expression, "this")
+ 779        if self.byte_start:
+ 780            return f"{self.byte_start}{this}{self.byte_end}"
+ 781        return this
+ 782
+ 783    def rawstring_sql(self, expression: exp.RawString) -> str:
+ 784        if self.raw_start:
+ 785            return f"{self.raw_start}{expression.name}{self.raw_end}"
+ 786        return self.sql(exp.Literal.string(expression.name.replace("\\", "\\\\")))
+ 787
+ 788    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
+ 789        this = self.sql(expression, "this")
+ 790        specifier = self.sql(expression, "expression")
+ 791        specifier = f" {specifier}" if specifier else ""
+ 792        return f"{this}{specifier}"
+ 793
+ 794    def datatype_sql(self, expression: exp.DataType) -> str:
+ 795        type_value = expression.this
+ 796        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
+ 797        nested = ""
+ 798        interior = self.expressions(expression, flat=True)
+ 799        values = ""
+ 800        if interior:
+ 801            if expression.args.get("nested"):
+ 802                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
+ 803                if expression.args.get("values") is not None:
+ 804                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
+ 805                    values = f"{delimiters[0]}{self.expressions(expression, key='values')}{delimiters[1]}"
+ 806            else:
+ 807                nested = f"({interior})"
+ 808
+ 809        return f"{type_sql}{nested}{values}"
+ 810
+ 811    def directory_sql(self, expression: exp.Directory) -> str:
+ 812        local = "LOCAL " if expression.args.get("local") else ""
+ 813        row_format = self.sql(expression, "row_format")
+ 814        row_format = f" {row_format}" if row_format else ""
+ 815        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
  816
- 817        return f"{type_sql}{nested}{values}"
- 818
- 819    def directory_sql(self, expression: exp.Directory) -> str:
- 820        local = "LOCAL " if expression.args.get("local") else ""
- 821        row_format = self.sql(expression, "row_format")
- 822        row_format = f" {row_format}" if row_format else ""
- 823        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
- 824
- 825    def delete_sql(self, expression: exp.Delete) -> str:
- 826        this = self.sql(expression, "this")
- 827        this = f" FROM {this}" if this else ""
- 828        using_sql = (
- 829            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
- 830            if expression.args.get("using")
- 831            else ""
- 832        )
- 833        where_sql = self.sql(expression, "where")
- 834        returning = self.sql(expression, "returning")
- 835        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
- 836        return self.prepend_ctes(expression, sql)
- 837
- 838    def drop_sql(self, expression: exp.Drop) -> str:
- 839        this = self.sql(expression, "this")
- 840        kind = expression.args["kind"]
- 841        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
- 842        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
- 843        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
- 844        cascade = " CASCADE" if expression.args.get("cascade") else ""
- 845        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
- 846        purge = " PURGE" if expression.args.get("purge") else ""
- 847        return (
- 848            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
- 849        )
- 850
- 851    def except_sql(self, expression: exp.Except) -> str:
- 852        return self.prepend_ctes(
- 853            expression,
- 854            self.set_operation(expression, self.except_op(expression)),
- 855        )
- 856
- 857    def except_op(self, expression: exp.Except) -> str:
- 858        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
- 859
- 860    def fetch_sql(self, expression: exp.Fetch) -> str:
- 861        direction = expression.args.get("direction")
- 862        direction = f" {direction.upper()}" if direction else ""
- 863        count = expression.args.get("count")
- 864        count = f" {count}" if count else ""
- 865        if expression.args.get("percent"):
- 866            count = f"{count} PERCENT"
- 867        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
- 868        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
- 869
- 870    def filter_sql(self, expression: exp.Filter) -> str:
- 871        this = self.sql(expression, "this")
- 872        where = self.sql(expression, "expression")[1:]  # where has a leading space
- 873        return f"{this} FILTER({where})"
- 874
- 875    def hint_sql(self, expression: exp.Hint) -> str:
- 876        if self.sql(expression, "this"):
- 877            self.unsupported("Hints are not supported")
- 878        return ""
- 879
- 880    def index_sql(self, expression: exp.Index) -> str:
- 881        this = self.sql(expression, "this")
- 882        table = self.sql(expression, "table")
- 883        columns = self.sql(expression, "columns")
- 884        return f"{this} ON {table} {columns}"
- 885
- 886    def identifier_sql(self, expression: exp.Identifier) -> str:
- 887        text = expression.name
- 888        lower = text.lower()
- 889        text = lower if self.normalize and not expression.quoted else text
- 890        text = text.replace(self.identifier_end, self._escaped_identifier_end)
- 891        if (
- 892            expression.quoted
- 893            or should_identify(text, self.identify)
- 894            or lower in self.RESERVED_KEYWORDS
- 895        ):
- 896            text = f"{self.identifier_start}{text}{self.identifier_end}"
- 897        return text
- 898
- 899    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
- 900        input_format = self.sql(expression, "input_format")
- 901        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
- 902        output_format = self.sql(expression, "output_format")
- 903        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
- 904        return self.sep().join((input_format, output_format))
- 905
- 906    def national_sql(self, expression: exp.National) -> str:
- 907        return f"N{self.sql(expression, 'this')}"
- 908
- 909    def partition_sql(self, expression: exp.Partition) -> str:
- 910        return f"PARTITION({self.expressions(expression)})"
- 911
- 912    def properties_sql(self, expression: exp.Properties) -> str:
- 913        root_properties = []
- 914        with_properties = []
- 915
- 916        for p in expression.expressions:
- 917            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 918            if p_loc == exp.Properties.Location.POST_WITH:
- 919                with_properties.append(p)
- 920            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 921                root_properties.append(p)
- 922
- 923        return self.root_properties(
- 924            exp.Properties(expressions=root_properties)
- 925        ) + self.with_properties(exp.Properties(expressions=with_properties))
- 926
- 927    def root_properties(self, properties: exp.Properties) -> str:
- 928        if properties.expressions:
- 929            return self.sep() + self.expressions(properties, indent=False, sep=" ")
- 930        return ""
- 931
- 932    def properties(
- 933        self,
- 934        properties: exp.Properties,
- 935        prefix: str = "",
- 936        sep: str = ", ",
- 937        suffix: str = "",
- 938        wrapped: bool = True,
- 939    ) -> str:
- 940        if properties.expressions:
- 941            expressions = self.expressions(properties, sep=sep, indent=False)
- 942            expressions = self.wrap(expressions) if wrapped else expressions
- 943            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
- 944        return ""
- 945
- 946    def with_properties(self, properties: exp.Properties) -> str:
- 947        return self.properties(properties, prefix=self.seg("WITH"))
- 948
- 949    def locate_properties(
- 950        self, properties: exp.Properties
- 951    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
- 952        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
- 953            key: [] for key in exp.Properties.Location
- 954        }
- 955
- 956        for p in properties.expressions:
- 957            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 958            if p_loc == exp.Properties.Location.POST_NAME:
- 959                properties_locs[exp.Properties.Location.POST_NAME].append(p)
- 960            elif p_loc == exp.Properties.Location.POST_INDEX:
- 961                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
- 962            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 963                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
- 964            elif p_loc == exp.Properties.Location.POST_WITH:
- 965                properties_locs[exp.Properties.Location.POST_WITH].append(p)
- 966            elif p_loc == exp.Properties.Location.POST_CREATE:
- 967                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
- 968            elif p_loc == exp.Properties.Location.POST_ALIAS:
- 969                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
- 970            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
- 971                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
- 972            elif p_loc == exp.Properties.Location.UNSUPPORTED:
- 973                self.unsupported(f"Unsupported property {p.key}")
+ 817    def delete_sql(self, expression: exp.Delete) -> str:
+ 818        this = self.sql(expression, "this")
+ 819        this = f" FROM {this}" if this else ""
+ 820        using_sql = (
+ 821            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
+ 822            if expression.args.get("using")
+ 823            else ""
+ 824        )
+ 825        where_sql = self.sql(expression, "where")
+ 826        returning = self.sql(expression, "returning")
+ 827        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
+ 828        return self.prepend_ctes(expression, sql)
+ 829
+ 830    def drop_sql(self, expression: exp.Drop) -> str:
+ 831        this = self.sql(expression, "this")
+ 832        kind = expression.args["kind"]
+ 833        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+ 834        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+ 835        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
+ 836        cascade = " CASCADE" if expression.args.get("cascade") else ""
+ 837        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
+ 838        purge = " PURGE" if expression.args.get("purge") else ""
+ 839        return (
+ 840            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
+ 841        )
+ 842
+ 843    def except_sql(self, expression: exp.Except) -> str:
+ 844        return self.prepend_ctes(
+ 845            expression,
+ 846            self.set_operation(expression, self.except_op(expression)),
+ 847        )
+ 848
+ 849    def except_op(self, expression: exp.Except) -> str:
+ 850        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+ 851
+ 852    def fetch_sql(self, expression: exp.Fetch) -> str:
+ 853        direction = expression.args.get("direction")
+ 854        direction = f" {direction.upper()}" if direction else ""
+ 855        count = expression.args.get("count")
+ 856        count = f" {count}" if count else ""
+ 857        if expression.args.get("percent"):
+ 858            count = f"{count} PERCENT"
+ 859        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
+ 860        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
+ 861
+ 862    def filter_sql(self, expression: exp.Filter) -> str:
+ 863        this = self.sql(expression, "this")
+ 864        where = self.sql(expression, "expression")[1:]  # where has a leading space
+ 865        return f"{this} FILTER({where})"
+ 866
+ 867    def hint_sql(self, expression: exp.Hint) -> str:
+ 868        if self.sql(expression, "this"):
+ 869            self.unsupported("Hints are not supported")
+ 870        return ""
+ 871
+ 872    def index_sql(self, expression: exp.Index) -> str:
+ 873        unique = "UNIQUE " if expression.args.get("unique") else ""
+ 874        primary = "PRIMARY " if expression.args.get("primary") else ""
+ 875        amp = "AMP " if expression.args.get("amp") else ""
+ 876        name = f"{expression.name} " if expression.name else ""
+ 877        table = self.sql(expression, "table")
+ 878        table = f"{self.INDEX_ON} {table} " if table else ""
+ 879        index = "INDEX " if not table else ""
+ 880        columns = self.expressions(expression, key="columns", flat=True)
+ 881        return f"{unique}{primary}{amp}{index}{name}{table}({columns})"
+ 882
+ 883    def identifier_sql(self, expression: exp.Identifier) -> str:
+ 884        text = expression.name
+ 885        lower = text.lower()
+ 886        text = lower if self.normalize and not expression.quoted else text
+ 887        text = text.replace(self.identifier_end, self._escaped_identifier_end)
+ 888        if (
+ 889            expression.quoted
+ 890            or should_identify(text, self.identify)
+ 891            or lower in self.RESERVED_KEYWORDS
+ 892        ):
+ 893            text = f"{self.identifier_start}{text}{self.identifier_end}"
+ 894        return text
+ 895
+ 896    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
+ 897        input_format = self.sql(expression, "input_format")
+ 898        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
+ 899        output_format = self.sql(expression, "output_format")
+ 900        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
+ 901        return self.sep().join((input_format, output_format))
+ 902
+ 903    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
+ 904        string = self.sql(exp.Literal.string(expression.name))
+ 905        return f"{prefix}{string}"
+ 906
+ 907    def partition_sql(self, expression: exp.Partition) -> str:
+ 908        return f"PARTITION({self.expressions(expression)})"
+ 909
+ 910    def properties_sql(self, expression: exp.Properties) -> str:
+ 911        root_properties = []
+ 912        with_properties = []
+ 913
+ 914        for p in expression.expressions:
+ 915            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 916            if p_loc == exp.Properties.Location.POST_WITH:
+ 917                with_properties.append(p)
+ 918            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 919                root_properties.append(p)
+ 920
+ 921        return self.root_properties(
+ 922            exp.Properties(expressions=root_properties)
+ 923        ) + self.with_properties(exp.Properties(expressions=with_properties))
+ 924
+ 925    def root_properties(self, properties: exp.Properties) -> str:
+ 926        if properties.expressions:
+ 927            return self.sep() + self.expressions(properties, indent=False, sep=" ")
+ 928        return ""
+ 929
+ 930    def properties(
+ 931        self,
+ 932        properties: exp.Properties,
+ 933        prefix: str = "",
+ 934        sep: str = ", ",
+ 935        suffix: str = "",
+ 936        wrapped: bool = True,
+ 937    ) -> str:
+ 938        if properties.expressions:
+ 939            expressions = self.expressions(properties, sep=sep, indent=False)
+ 940            expressions = self.wrap(expressions) if wrapped else expressions
+ 941            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
+ 942        return ""
+ 943
+ 944    def with_properties(self, properties: exp.Properties) -> str:
+ 945        return self.properties(properties, prefix=self.seg("WITH"))
+ 946
+ 947    def locate_properties(
+ 948        self, properties: exp.Properties
+ 949    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
+ 950        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
+ 951            key: [] for key in exp.Properties.Location
+ 952        }
+ 953
+ 954        for p in properties.expressions:
+ 955            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 956            if p_loc == exp.Properties.Location.POST_NAME:
+ 957                properties_locs[exp.Properties.Location.POST_NAME].append(p)
+ 958            elif p_loc == exp.Properties.Location.POST_INDEX:
+ 959                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
+ 960            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 961                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
+ 962            elif p_loc == exp.Properties.Location.POST_WITH:
+ 963                properties_locs[exp.Properties.Location.POST_WITH].append(p)
+ 964            elif p_loc == exp.Properties.Location.POST_CREATE:
+ 965                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
+ 966            elif p_loc == exp.Properties.Location.POST_ALIAS:
+ 967                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
+ 968            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
+ 969                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
+ 970            elif p_loc == exp.Properties.Location.UNSUPPORTED:
+ 971                self.unsupported(f"Unsupported property {p.key}")
+ 972
+ 973        return properties_locs
  974
- 975        return properties_locs
- 976
- 977    def property_sql(self, expression: exp.Property) -> str:
- 978        property_cls = expression.__class__
- 979        if property_cls == exp.Property:
- 980            return f"{expression.name}={self.sql(expression, 'value')}"
- 981
- 982        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
- 983        if not property_name:
- 984            self.unsupported(f"Unsupported property {expression.key}")
+ 975    def property_sql(self, expression: exp.Property) -> str:
+ 976        property_cls = expression.__class__
+ 977        if property_cls == exp.Property:
+ 978            return f"{expression.name}={self.sql(expression, 'value')}"
+ 979
+ 980        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
+ 981        if not property_name:
+ 982            self.unsupported(f"Unsupported property {expression.key}")
+ 983
+ 984        return f"{property_name}={self.sql(expression, 'this')}"
  985
- 986        return f"{property_name}={self.sql(expression, 'this')}"
- 987
- 988    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
- 989        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
- 990        options = f" {options}" if options else ""
- 991        return f"LIKE {self.sql(expression, 'this')}{options}"
- 992
- 993    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
- 994        no = "NO " if expression.args.get("no") else ""
- 995        protection = " PROTECTION" if expression.args.get("protection") else ""
- 996        return f"{no}FALLBACK{protection}"
- 997
- 998    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
- 999        no = "NO " if expression.args.get("no") else ""
-1000        local = expression.args.get("local")
-1001        local = f"{local} " if local else ""
-1002        dual = "DUAL " if expression.args.get("dual") else ""
-1003        before = "BEFORE " if expression.args.get("before") else ""
-1004        after = "AFTER " if expression.args.get("after") else ""
-1005        return f"{no}{local}{dual}{before}{after}JOURNAL"
-1006
-1007    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
-1008        freespace = self.sql(expression, "this")
-1009        percent = " PERCENT" if expression.args.get("percent") else ""
-1010        return f"FREESPACE={freespace}{percent}"
-1011
-1012    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
-1013        if expression.args.get("default"):
-1014            property = "DEFAULT"
-1015        elif expression.args.get("on"):
-1016            property = "ON"
-1017        else:
-1018            property = "OFF"
-1019        return f"CHECKSUM={property}"
-1020
-1021    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
-1022        if expression.args.get("no"):
-1023            return "NO MERGEBLOCKRATIO"
-1024        if expression.args.get("default"):
-1025            return "DEFAULT MERGEBLOCKRATIO"
-1026
-1027        percent = " PERCENT" if expression.args.get("percent") else ""
-1028        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
-1029
-1030    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
-1031        default = expression.args.get("default")
-1032        minimum = expression.args.get("minimum")
-1033        maximum = expression.args.get("maximum")
-1034        if default or minimum or maximum:
-1035            if default:
-1036                prop = "DEFAULT"
-1037            elif minimum:
-1038                prop = "MINIMUM"
-1039            else:
-1040                prop = "MAXIMUM"
-1041            return f"{prop} DATABLOCKSIZE"
-1042        units = expression.args.get("units")
-1043        units = f" {units}" if units else ""
-1044        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
-1045
-1046    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
-1047        autotemp = expression.args.get("autotemp")
-1048        always = expression.args.get("always")
-1049        default = expression.args.get("default")
-1050        manual = expression.args.get("manual")
-1051        never = expression.args.get("never")
-1052
-1053        if autotemp is not None:
-1054            prop = f"AUTOTEMP({self.expressions(autotemp)})"
-1055        elif always:
-1056            prop = "ALWAYS"
-1057        elif default:
-1058            prop = "DEFAULT"
-1059        elif manual:
-1060            prop = "MANUAL"
-1061        elif never:
-1062            prop = "NEVER"
-1063        return f"BLOCKCOMPRESSION={prop}"
-1064
-1065    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
-1066        no = expression.args.get("no")
-1067        no = " NO" if no else ""
-1068        concurrent = expression.args.get("concurrent")
-1069        concurrent = " CONCURRENT" if concurrent else ""
-1070
-1071        for_ = ""
-1072        if expression.args.get("for_all"):
-1073            for_ = " FOR ALL"
-1074        elif expression.args.get("for_insert"):
-1075            for_ = " FOR INSERT"
-1076        elif expression.args.get("for_none"):
-1077            for_ = " FOR NONE"
-1078        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
-1079
-1080    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
-1081        kind = expression.args.get("kind")
-1082        this: str = f" {this}" if expression.this else ""
-1083        for_or_in = expression.args.get("for_or_in")
-1084        lock_type = expression.args.get("lock_type")
-1085        override = " OVERRIDE" if expression.args.get("override") else ""
-1086        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
-1087
-1088    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
-1089        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
-1090        statistics = expression.args.get("statistics")
-1091        statistics_sql = ""
-1092        if statistics is not None:
-1093            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
-1094        return f"{data_sql}{statistics_sql}"
-1095
-1096    def insert_sql(self, expression: exp.Insert) -> str:
-1097        overwrite = expression.args.get("overwrite")
-1098
-1099        if isinstance(expression.this, exp.Directory):
-1100            this = "OVERWRITE " if overwrite else "INTO "
-1101        else:
-1102            this = "OVERWRITE TABLE " if overwrite else "INTO "
-1103
-1104        alternative = expression.args.get("alternative")
-1105        alternative = f" OR {alternative} " if alternative else " "
-1106        this = f"{this}{self.sql(expression, 'this')}"
-1107
-1108        exists = " IF EXISTS " if expression.args.get("exists") else " "
-1109        partition_sql = (
-1110            self.sql(expression, "partition") if expression.args.get("partition") else ""
-1111        )
-1112        expression_sql = self.sql(expression, "expression")
-1113        conflict = self.sql(expression, "conflict")
-1114        returning = self.sql(expression, "returning")
-1115        sep = self.sep() if partition_sql else ""
-1116        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
-1117        return self.prepend_ctes(expression, sql)
-1118
-1119    def intersect_sql(self, expression: exp.Intersect) -> str:
-1120        return self.prepend_ctes(
-1121            expression,
-1122            self.set_operation(expression, self.intersect_op(expression)),
-1123        )
-1124
-1125    def intersect_op(self, expression: exp.Intersect) -> str:
-1126        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
-1127
-1128    def introducer_sql(self, expression: exp.Introducer) -> str:
-1129        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
-1130
-1131    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
-1132        return expression.name.upper()
-1133
-1134    def onconflict_sql(self, expression: exp.OnConflict) -> str:
-1135        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
-1136        constraint = self.sql(expression, "constraint")
-1137        if constraint:
-1138            constraint = f"ON CONSTRAINT {constraint}"
-1139        key = self.expressions(expression, key="key", flat=True)
-1140        do = "" if expression.args.get("duplicate") else " DO "
-1141        nothing = "NOTHING" if expression.args.get("nothing") else ""
-1142        expressions = self.expressions(expression, flat=True)
-1143        if expressions:
-1144            expressions = f"UPDATE SET {expressions}"
-1145        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
-1146
-1147    def returning_sql(self, expression: exp.Returning) -> str:
-1148        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
-1149
-1150    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
-1151        fields = expression.args.get("fields")
-1152        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
-1153        escaped = expression.args.get("escaped")
-1154        escaped = f" ESCAPED BY {escaped}" if escaped else ""
-1155        items = expression.args.get("collection_items")
-1156        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
-1157        keys = expression.args.get("map_keys")
-1158        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
-1159        lines = expression.args.get("lines")
-1160        lines = f" LINES TERMINATED BY {lines}" if lines else ""
-1161        null = expression.args.get("null")
-1162        null = f" NULL DEFINED AS {null}" if null else ""
-1163        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
-1164
-1165    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
-1166        table = ".".join(
-1167            part
-1168            for part in [
-1169                self.sql(expression, "catalog"),
-1170                self.sql(expression, "db"),
-1171                self.sql(expression, "this"),
-1172            ]
-1173            if part
-1174        )
-1175
-1176        alias = self.sql(expression, "alias")
-1177        alias = f"{sep}{alias}" if alias else ""
-1178        hints = self.expressions(expression, key="hints", flat=True)
-1179        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
-1180        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1181        pivots = f" {pivots}" if pivots else ""
-1182        joins = self.expressions(expression, key="joins", sep="")
-1183        laterals = self.expressions(expression, key="laterals", sep="")
-1184        system_time = expression.args.get("system_time")
-1185        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+ 986    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
+ 987        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
+ 988        options = f" {options}" if options else ""
+ 989        return f"LIKE {self.sql(expression, 'this')}{options}"
+ 990
+ 991    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
+ 992        no = "NO " if expression.args.get("no") else ""
+ 993        protection = " PROTECTION" if expression.args.get("protection") else ""
+ 994        return f"{no}FALLBACK{protection}"
+ 995
+ 996    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
+ 997        no = "NO " if expression.args.get("no") else ""
+ 998        local = expression.args.get("local")
+ 999        local = f"{local} " if local else ""
+1000        dual = "DUAL " if expression.args.get("dual") else ""
+1001        before = "BEFORE " if expression.args.get("before") else ""
+1002        after = "AFTER " if expression.args.get("after") else ""
+1003        return f"{no}{local}{dual}{before}{after}JOURNAL"
+1004
+1005    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
+1006        freespace = self.sql(expression, "this")
+1007        percent = " PERCENT" if expression.args.get("percent") else ""
+1008        return f"FREESPACE={freespace}{percent}"
+1009
+1010    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
+1011        if expression.args.get("default"):
+1012            property = "DEFAULT"
+1013        elif expression.args.get("on"):
+1014            property = "ON"
+1015        else:
+1016            property = "OFF"
+1017        return f"CHECKSUM={property}"
+1018
+1019    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
+1020        if expression.args.get("no"):
+1021            return "NO MERGEBLOCKRATIO"
+1022        if expression.args.get("default"):
+1023            return "DEFAULT MERGEBLOCKRATIO"
+1024
+1025        percent = " PERCENT" if expression.args.get("percent") else ""
+1026        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+1027
+1028    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
+1029        default = expression.args.get("default")
+1030        minimum = expression.args.get("minimum")
+1031        maximum = expression.args.get("maximum")
+1032        if default or minimum or maximum:
+1033            if default:
+1034                prop = "DEFAULT"
+1035            elif minimum:
+1036                prop = "MINIMUM"
+1037            else:
+1038                prop = "MAXIMUM"
+1039            return f"{prop} DATABLOCKSIZE"
+1040        units = expression.args.get("units")
+1041        units = f" {units}" if units else ""
+1042        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
+1043
+1044    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
+1045        autotemp = expression.args.get("autotemp")
+1046        always = expression.args.get("always")
+1047        default = expression.args.get("default")
+1048        manual = expression.args.get("manual")
+1049        never = expression.args.get("never")
+1050
+1051        if autotemp is not None:
+1052            prop = f"AUTOTEMP({self.expressions(autotemp)})"
+1053        elif always:
+1054            prop = "ALWAYS"
+1055        elif default:
+1056            prop = "DEFAULT"
+1057        elif manual:
+1058            prop = "MANUAL"
+1059        elif never:
+1060            prop = "NEVER"
+1061        return f"BLOCKCOMPRESSION={prop}"
+1062
+1063    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
+1064        no = expression.args.get("no")
+1065        no = " NO" if no else ""
+1066        concurrent = expression.args.get("concurrent")
+1067        concurrent = " CONCURRENT" if concurrent else ""
+1068
+1069        for_ = ""
+1070        if expression.args.get("for_all"):
+1071            for_ = " FOR ALL"
+1072        elif expression.args.get("for_insert"):
+1073            for_ = " FOR INSERT"
+1074        elif expression.args.get("for_none"):
+1075            for_ = " FOR NONE"
+1076        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+1077
+1078    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
+1079        kind = expression.args.get("kind")
+1080        this: str = f" {this}" if expression.this else ""
+1081        for_or_in = expression.args.get("for_or_in")
+1082        lock_type = expression.args.get("lock_type")
+1083        override = " OVERRIDE" if expression.args.get("override") else ""
+1084        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
+1085
+1086    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
+1087        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
+1088        statistics = expression.args.get("statistics")
+1089        statistics_sql = ""
+1090        if statistics is not None:
+1091            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
+1092        return f"{data_sql}{statistics_sql}"
+1093
+1094    def insert_sql(self, expression: exp.Insert) -> str:
+1095        overwrite = expression.args.get("overwrite")
+1096
+1097        if isinstance(expression.this, exp.Directory):
+1098            this = "OVERWRITE " if overwrite else "INTO "
+1099        else:
+1100            this = "OVERWRITE TABLE " if overwrite else "INTO "
+1101
+1102        alternative = expression.args.get("alternative")
+1103        alternative = f" OR {alternative} " if alternative else " "
+1104        this = f"{this}{self.sql(expression, 'this')}"
+1105
+1106        exists = " IF EXISTS " if expression.args.get("exists") else " "
+1107        partition_sql = (
+1108            self.sql(expression, "partition") if expression.args.get("partition") else ""
+1109        )
+1110        expression_sql = self.sql(expression, "expression")
+1111        conflict = self.sql(expression, "conflict")
+1112        returning = self.sql(expression, "returning")
+1113        sep = self.sep() if partition_sql else ""
+1114        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
+1115        return self.prepend_ctes(expression, sql)
+1116
+1117    def intersect_sql(self, expression: exp.Intersect) -> str:
+1118        return self.prepend_ctes(
+1119            expression,
+1120            self.set_operation(expression, self.intersect_op(expression)),
+1121        )
+1122
+1123    def intersect_op(self, expression: exp.Intersect) -> str:
+1124        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+1125
+1126    def introducer_sql(self, expression: exp.Introducer) -> str:
+1127        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
+1128
+1129    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
+1130        return expression.name.upper()
+1131
+1132    def onconflict_sql(self, expression: exp.OnConflict) -> str:
+1133        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
+1134        constraint = self.sql(expression, "constraint")
+1135        if constraint:
+1136            constraint = f"ON CONSTRAINT {constraint}"
+1137        key = self.expressions(expression, key="key", flat=True)
+1138        do = "" if expression.args.get("duplicate") else " DO "
+1139        nothing = "NOTHING" if expression.args.get("nothing") else ""
+1140        expressions = self.expressions(expression, flat=True)
+1141        if expressions:
+1142            expressions = f"UPDATE SET {expressions}"
+1143        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
+1144
+1145    def returning_sql(self, expression: exp.Returning) -> str:
+1146        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
+1147
+1148    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
+1149        fields = expression.args.get("fields")
+1150        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
+1151        escaped = expression.args.get("escaped")
+1152        escaped = f" ESCAPED BY {escaped}" if escaped else ""
+1153        items = expression.args.get("collection_items")
+1154        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
+1155        keys = expression.args.get("map_keys")
+1156        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
+1157        lines = expression.args.get("lines")
+1158        lines = f" LINES TERMINATED BY {lines}" if lines else ""
+1159        null = expression.args.get("null")
+1160        null = f" NULL DEFINED AS {null}" if null else ""
+1161        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
+1162
+1163    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
+1164        table = ".".join(
+1165            part
+1166            for part in [
+1167                self.sql(expression, "catalog"),
+1168                self.sql(expression, "db"),
+1169                self.sql(expression, "this"),
+1170            ]
+1171            if part
+1172        )
+1173
+1174        alias = self.sql(expression, "alias")
+1175        alias = f"{sep}{alias}" if alias else ""
+1176        hints = self.expressions(expression, key="hints", flat=True)
+1177        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
+1178        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1179        pivots = f" {pivots}" if pivots else ""
+1180        joins = self.expressions(expression, key="joins", sep="")
+1181        laterals = self.expressions(expression, key="laterals", sep="")
+1182        system_time = expression.args.get("system_time")
+1183        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+1184
+1185        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
 1186
-1187        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
-1188
-1189    def tablesample_sql(
-1190        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
-1191    ) -> str:
-1192        if self.alias_post_tablesample and expression.this.alias:
-1193            table = expression.this.copy()
-1194            table.set("alias", None)
-1195            this = self.sql(table)
-1196            alias = f"{sep}{self.sql(expression.this, 'alias')}"
-1197        else:
-1198            this = self.sql(expression, "this")
-1199            alias = ""
-1200        method = self.sql(expression, "method")
-1201        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
-1202        numerator = self.sql(expression, "bucket_numerator")
-1203        denominator = self.sql(expression, "bucket_denominator")
-1204        field = self.sql(expression, "bucket_field")
-1205        field = f" ON {field}" if field else ""
-1206        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
-1207        percent = self.sql(expression, "percent")
-1208        percent = f"{percent} PERCENT" if percent else ""
-1209        rows = self.sql(expression, "rows")
-1210        rows = f"{rows} ROWS" if rows else ""
-1211        size = self.sql(expression, "size")
-1212        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
-1213            size = f"{size} PERCENT"
-1214        seed = self.sql(expression, "seed")
-1215        seed = f" {seed_prefix} ({seed})" if seed else ""
-1216        kind = expression.args.get("kind", "TABLESAMPLE")
-1217        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
-1218
-1219    def pivot_sql(self, expression: exp.Pivot) -> str:
-1220        alias = self.sql(expression, "alias")
-1221        alias = f" AS {alias}" if alias else ""
-1222        unpivot = expression.args.get("unpivot")
-1223        direction = "UNPIVOT" if unpivot else "PIVOT"
-1224        expressions = self.expressions(expression, flat=True)
-1225        field = self.sql(expression, "field")
-1226        return f"{direction}({expressions} FOR {field}){alias}"
-1227
-1228    def tuple_sql(self, expression: exp.Tuple) -> str:
-1229        return f"({self.expressions(expression, flat=True)})"
-1230
-1231    def update_sql(self, expression: exp.Update) -> str:
-1232        this = self.sql(expression, "this")
-1233        set_sql = self.expressions(expression, flat=True)
-1234        from_sql = self.sql(expression, "from")
-1235        where_sql = self.sql(expression, "where")
-1236        returning = self.sql(expression, "returning")
-1237        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
-1238        return self.prepend_ctes(expression, sql)
-1239
-1240    def values_sql(self, expression: exp.Values) -> str:
-1241        args = self.expressions(expression)
-1242        alias = self.sql(expression, "alias")
-1243        values = f"VALUES{self.seg('')}{args}"
-1244        values = (
-1245            f"({values})"
-1246            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
-1247            else values
-1248        )
-1249        return f"{values} AS {alias}" if alias else values
-1250
-1251    def var_sql(self, expression: exp.Var) -> str:
-1252        return self.sql(expression, "this")
-1253
-1254    def into_sql(self, expression: exp.Into) -> str:
-1255        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-1256        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
-1257        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
-1258
-1259    def from_sql(self, expression: exp.From) -> str:
-1260        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
-1261
-1262    def group_sql(self, expression: exp.Group) -> str:
-1263        group_by = self.op_expressions("GROUP BY", expression)
-1264        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
-1265        grouping_sets = (
-1266            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
-1267        )
-1268
-1269        cube = expression.args.get("cube", [])
-1270        if seq_get(cube, 0) is True:
-1271            return f"{group_by}{self.seg('WITH CUBE')}"
-1272        else:
-1273            cube_sql = self.expressions(expression, key="cube", indent=False)
-1274            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
-1275
-1276        rollup = expression.args.get("rollup", [])
-1277        if seq_get(rollup, 0) is True:
-1278            return f"{group_by}{self.seg('WITH ROLLUP')}"
-1279        else:
-1280            rollup_sql = self.expressions(expression, key="rollup", indent=False)
-1281            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
-1282
-1283        groupings = csv(
-1284            grouping_sets,
-1285            cube_sql,
-1286            rollup_sql,
-1287            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
-1288            sep=self.GROUPINGS_SEP,
-1289        )
-1290
-1291        if expression.args.get("expressions") and groupings:
-1292            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1187    def tablesample_sql(
+1188        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+1189    ) -> str:
+1190        if self.alias_post_tablesample and expression.this.alias:
+1191            table = expression.this.copy()
+1192            table.set("alias", None)
+1193            this = self.sql(table)
+1194            alias = f"{sep}{self.sql(expression.this, 'alias')}"
+1195        else:
+1196            this = self.sql(expression, "this")
+1197            alias = ""
+1198        method = self.sql(expression, "method")
+1199        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
+1200        numerator = self.sql(expression, "bucket_numerator")
+1201        denominator = self.sql(expression, "bucket_denominator")
+1202        field = self.sql(expression, "bucket_field")
+1203        field = f" ON {field}" if field else ""
+1204        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
+1205        percent = self.sql(expression, "percent")
+1206        percent = f"{percent} PERCENT" if percent else ""
+1207        rows = self.sql(expression, "rows")
+1208        rows = f"{rows} ROWS" if rows else ""
+1209        size = self.sql(expression, "size")
+1210        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
+1211            size = f"{size} PERCENT"
+1212        seed = self.sql(expression, "seed")
+1213        seed = f" {seed_prefix} ({seed})" if seed else ""
+1214        kind = expression.args.get("kind", "TABLESAMPLE")
+1215        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
+1216
+1217    def pivot_sql(self, expression: exp.Pivot) -> str:
+1218        alias = self.sql(expression, "alias")
+1219        alias = f" AS {alias}" if alias else ""
+1220        unpivot = expression.args.get("unpivot")
+1221        direction = "UNPIVOT" if unpivot else "PIVOT"
+1222        expressions = self.expressions(expression, flat=True)
+1223        field = self.sql(expression, "field")
+1224        return f"{direction}({expressions} FOR {field}){alias}"
+1225
+1226    def tuple_sql(self, expression: exp.Tuple) -> str:
+1227        return f"({self.expressions(expression, flat=True)})"
+1228
+1229    def update_sql(self, expression: exp.Update) -> str:
+1230        this = self.sql(expression, "this")
+1231        set_sql = self.expressions(expression, flat=True)
+1232        from_sql = self.sql(expression, "from")
+1233        where_sql = self.sql(expression, "where")
+1234        returning = self.sql(expression, "returning")
+1235        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
+1236        return self.prepend_ctes(expression, sql)
+1237
+1238    def values_sql(self, expression: exp.Values) -> str:
+1239        args = self.expressions(expression)
+1240        alias = self.sql(expression, "alias")
+1241        values = f"VALUES{self.seg('')}{args}"
+1242        values = (
+1243            f"({values})"
+1244            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
+1245            else values
+1246        )
+1247        return f"{values} AS {alias}" if alias else values
+1248
+1249    def var_sql(self, expression: exp.Var) -> str:
+1250        return self.sql(expression, "this")
+1251
+1252    def into_sql(self, expression: exp.Into) -> str:
+1253        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+1254        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
+1255        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
+1256
+1257    def from_sql(self, expression: exp.From) -> str:
+1258        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
+1259
+1260    def group_sql(self, expression: exp.Group) -> str:
+1261        group_by = self.op_expressions("GROUP BY", expression)
+1262        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
+1263        grouping_sets = (
+1264            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
+1265        )
+1266
+1267        cube = expression.args.get("cube", [])
+1268        if seq_get(cube, 0) is True:
+1269            return f"{group_by}{self.seg('WITH CUBE')}"
+1270        else:
+1271            cube_sql = self.expressions(expression, key="cube", indent=False)
+1272            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
+1273
+1274        rollup = expression.args.get("rollup", [])
+1275        if seq_get(rollup, 0) is True:
+1276            return f"{group_by}{self.seg('WITH ROLLUP')}"
+1277        else:
+1278            rollup_sql = self.expressions(expression, key="rollup", indent=False)
+1279            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
+1280
+1281        groupings = csv(
+1282            grouping_sets,
+1283            cube_sql,
+1284            rollup_sql,
+1285            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
+1286            sep=self.GROUPINGS_SEP,
+1287        )
+1288
+1289        if expression.args.get("expressions") and groupings:
+1290            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1291
+1292        return f"{group_by}{groupings}"
 1293
-1294        return f"{group_by}{groupings}"
-1295
-1296    def having_sql(self, expression: exp.Having) -> str:
-1297        this = self.indent(self.sql(expression, "this"))
-1298        return f"{self.seg('HAVING')}{self.sep()}{this}"
-1299
-1300    def join_sql(self, expression: exp.Join) -> str:
-1301        op_sql = " ".join(
-1302            op
-1303            for op in (
-1304                "NATURAL" if expression.args.get("natural") else None,
-1305                "GLOBAL" if expression.args.get("global") else None,
-1306                expression.side,
-1307                expression.kind,
-1308                expression.hint if self.JOIN_HINTS else None,
-1309            )
-1310            if op
-1311        )
-1312        on_sql = self.sql(expression, "on")
-1313        using = expression.args.get("using")
-1314
-1315        if not on_sql and using:
-1316            on_sql = csv(*(self.sql(column) for column in using))
+1294    def having_sql(self, expression: exp.Having) -> str:
+1295        this = self.indent(self.sql(expression, "this"))
+1296        return f"{self.seg('HAVING')}{self.sep()}{this}"
+1297
+1298    def join_sql(self, expression: exp.Join) -> str:
+1299        op_sql = " ".join(
+1300            op
+1301            for op in (
+1302                "NATURAL" if expression.args.get("natural") else None,
+1303                "GLOBAL" if expression.args.get("global") else None,
+1304                expression.side,
+1305                expression.kind,
+1306                expression.hint if self.JOIN_HINTS else None,
+1307            )
+1308            if op
+1309        )
+1310        on_sql = self.sql(expression, "on")
+1311        using = expression.args.get("using")
+1312
+1313        if not on_sql and using:
+1314            on_sql = csv(*(self.sql(column) for column in using))
+1315
+1316        this_sql = self.sql(expression, "this")
 1317
-1318        this_sql = self.sql(expression, "this")
-1319
-1320        if on_sql:
-1321            on_sql = self.indent(on_sql, skip_first=True)
-1322            space = self.seg(" " * self.pad) if self.pretty else " "
-1323            if using:
-1324                on_sql = f"{space}USING ({on_sql})"
-1325            else:
-1326                on_sql = f"{space}ON {on_sql}"
-1327        elif not op_sql:
-1328            return f", {this_sql}"
-1329
-1330        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
-1331        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
-1332
-1333    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
-1334        args = self.expressions(expression, flat=True)
-1335        args = f"({args})" if len(args.split(",")) > 1 else args
-1336        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
-1337
-1338    def lateral_sql(self, expression: exp.Lateral) -> str:
-1339        this = self.sql(expression, "this")
-1340
-1341        if isinstance(expression.this, exp.Subquery):
-1342            return f"LATERAL {this}"
-1343
-1344        if expression.args.get("view"):
-1345            alias = expression.args["alias"]
-1346            columns = self.expressions(alias, key="columns", flat=True)
-1347            table = f" {alias.name}" if alias.name else ""
-1348            columns = f" AS {columns}" if columns else ""
-1349            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
-1350            return f"{op_sql}{self.sep()}{this}{table}{columns}"
-1351
-1352        alias = self.sql(expression, "alias")
-1353        alias = f" AS {alias}" if alias else ""
-1354        return f"LATERAL {this}{alias}"
-1355
-1356    def limit_sql(self, expression: exp.Limit) -> str:
-1357        this = self.sql(expression, "this")
-1358        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
-1359
-1360    def offset_sql(self, expression: exp.Offset) -> str:
-1361        this = self.sql(expression, "this")
-1362        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
-1363
-1364    def setitem_sql(self, expression: exp.SetItem) -> str:
-1365        kind = self.sql(expression, "kind")
-1366        kind = f"{kind} " if kind else ""
-1367        this = self.sql(expression, "this")
-1368        expressions = self.expressions(expression)
-1369        collate = self.sql(expression, "collate")
-1370        collate = f" COLLATE {collate}" if collate else ""
-1371        global_ = "GLOBAL " if expression.args.get("global") else ""
-1372        return f"{global_}{kind}{this}{expressions}{collate}"
-1373
-1374    def set_sql(self, expression: exp.Set) -> str:
-1375        expressions = (
-1376            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
-1377        )
-1378        return f"SET{expressions}"
-1379
-1380    def pragma_sql(self, expression: exp.Pragma) -> str:
-1381        return f"PRAGMA {self.sql(expression, 'this')}"
-1382
-1383    def lock_sql(self, expression: exp.Lock) -> str:
-1384        if not self.LOCKING_READS_SUPPORTED:
-1385            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
-1386            return ""
-1387
-1388        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
-1389        expressions = self.expressions(expression, flat=True)
-1390        expressions = f" OF {expressions}" if expressions else ""
-1391        wait = expression.args.get("wait")
-1392
-1393        if wait is not None:
-1394            if isinstance(wait, exp.Literal):
-1395                wait = f" WAIT {self.sql(wait)}"
-1396            else:
-1397                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1318        if on_sql:
+1319            on_sql = self.indent(on_sql, skip_first=True)
+1320            space = self.seg(" " * self.pad) if self.pretty else " "
+1321            if using:
+1322                on_sql = f"{space}USING ({on_sql})"
+1323            else:
+1324                on_sql = f"{space}ON {on_sql}"
+1325        elif not op_sql:
+1326            return f", {this_sql}"
+1327
+1328        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
+1329        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
+1330
+1331    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
+1332        args = self.expressions(expression, flat=True)
+1333        args = f"({args})" if len(args.split(",")) > 1 else args
+1334        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
+1335
+1336    def lateral_sql(self, expression: exp.Lateral) -> str:
+1337        this = self.sql(expression, "this")
+1338
+1339        if isinstance(expression.this, exp.Subquery):
+1340            return f"LATERAL {this}"
+1341
+1342        if expression.args.get("view"):
+1343            alias = expression.args["alias"]
+1344            columns = self.expressions(alias, key="columns", flat=True)
+1345            table = f" {alias.name}" if alias.name else ""
+1346            columns = f" AS {columns}" if columns else ""
+1347            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
+1348            return f"{op_sql}{self.sep()}{this}{table}{columns}"
+1349
+1350        alias = self.sql(expression, "alias")
+1351        alias = f" AS {alias}" if alias else ""
+1352        return f"LATERAL {this}{alias}"
+1353
+1354    def limit_sql(self, expression: exp.Limit) -> str:
+1355        this = self.sql(expression, "this")
+1356        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
+1357
+1358    def offset_sql(self, expression: exp.Offset) -> str:
+1359        this = self.sql(expression, "this")
+1360        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
+1361
+1362    def setitem_sql(self, expression: exp.SetItem) -> str:
+1363        kind = self.sql(expression, "kind")
+1364        kind = f"{kind} " if kind else ""
+1365        this = self.sql(expression, "this")
+1366        expressions = self.expressions(expression)
+1367        collate = self.sql(expression, "collate")
+1368        collate = f" COLLATE {collate}" if collate else ""
+1369        global_ = "GLOBAL " if expression.args.get("global") else ""
+1370        return f"{global_}{kind}{this}{expressions}{collate}"
+1371
+1372    def set_sql(self, expression: exp.Set) -> str:
+1373        expressions = (
+1374            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
+1375        )
+1376        return f"SET{expressions}"
+1377
+1378    def pragma_sql(self, expression: exp.Pragma) -> str:
+1379        return f"PRAGMA {self.sql(expression, 'this')}"
+1380
+1381    def lock_sql(self, expression: exp.Lock) -> str:
+1382        if not self.LOCKING_READS_SUPPORTED:
+1383            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
+1384            return ""
+1385
+1386        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
+1387        expressions = self.expressions(expression, flat=True)
+1388        expressions = f" OF {expressions}" if expressions else ""
+1389        wait = expression.args.get("wait")
+1390
+1391        if wait is not None:
+1392            if isinstance(wait, exp.Literal):
+1393                wait = f" WAIT {self.sql(wait)}"
+1394            else:
+1395                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1396
+1397        return f"{lock_type}{expressions}{wait or ''}"
 1398
-1399        return f"{lock_type}{expressions}{wait or ''}"
-1400
-1401    def literal_sql(self, expression: exp.Literal) -> str:
-1402        text = expression.this or ""
-1403        if expression.is_string:
-1404            text = text.replace(self.quote_end, self._escaped_quote_end)
-1405            if self.pretty:
-1406                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
-1407            text = f"{self.quote_start}{text}{self.quote_end}"
-1408        return text
-1409
-1410    def loaddata_sql(self, expression: exp.LoadData) -> str:
-1411        local = " LOCAL" if expression.args.get("local") else ""
-1412        inpath = f" INPATH {self.sql(expression, 'inpath')}"
-1413        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
-1414        this = f" INTO TABLE {self.sql(expression, 'this')}"
-1415        partition = self.sql(expression, "partition")
-1416        partition = f" {partition}" if partition else ""
-1417        input_format = self.sql(expression, "input_format")
-1418        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
-1419        serde = self.sql(expression, "serde")
-1420        serde = f" SERDE {serde}" if serde else ""
-1421        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
-1422
-1423    def null_sql(self, *_) -> str:
-1424        return "NULL"
-1425
-1426    def boolean_sql(self, expression: exp.Boolean) -> str:
-1427        return "TRUE" if expression.this else "FALSE"
-1428
-1429    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
-1430        this = self.sql(expression, "this")
-1431        this = f"{this} " if this else this
-1432        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
-1433
-1434    def cluster_sql(self, expression: exp.Cluster) -> str:
-1435        return self.op_expressions("CLUSTER BY", expression)
-1436
-1437    def distribute_sql(self, expression: exp.Distribute) -> str:
-1438        return self.op_expressions("DISTRIBUTE BY", expression)
-1439
-1440    def sort_sql(self, expression: exp.Sort) -> str:
-1441        return self.op_expressions("SORT BY", expression)
-1442
-1443    def ordered_sql(self, expression: exp.Ordered) -> str:
-1444        desc = expression.args.get("desc")
-1445        asc = not desc
-1446
-1447        nulls_first = expression.args.get("nulls_first")
-1448        nulls_last = not nulls_first
-1449        nulls_are_large = self.null_ordering == "nulls_are_large"
-1450        nulls_are_small = self.null_ordering == "nulls_are_small"
-1451        nulls_are_last = self.null_ordering == "nulls_are_last"
-1452
-1453        sort_order = " DESC" if desc else ""
-1454        nulls_sort_change = ""
-1455        if nulls_first and (
-1456            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
-1457        ):
-1458            nulls_sort_change = " NULLS FIRST"
-1459        elif (
-1460            nulls_last
-1461            and ((asc and nulls_are_small) or (desc and nulls_are_large))
-1462            and not nulls_are_last
-1463        ):
-1464            nulls_sort_change = " NULLS LAST"
-1465
-1466        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
-1467            self.unsupported(
-1468                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
-1469            )
-1470            nulls_sort_change = ""
+1399    def literal_sql(self, expression: exp.Literal) -> str:
+1400        text = expression.this or ""
+1401        if expression.is_string:
+1402            text = text.replace(self.quote_end, self._escaped_quote_end)
+1403            if self.pretty:
+1404                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
+1405            text = f"{self.quote_start}{text}{self.quote_end}"
+1406        return text
+1407
+1408    def loaddata_sql(self, expression: exp.LoadData) -> str:
+1409        local = " LOCAL" if expression.args.get("local") else ""
+1410        inpath = f" INPATH {self.sql(expression, 'inpath')}"
+1411        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
+1412        this = f" INTO TABLE {self.sql(expression, 'this')}"
+1413        partition = self.sql(expression, "partition")
+1414        partition = f" {partition}" if partition else ""
+1415        input_format = self.sql(expression, "input_format")
+1416        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
+1417        serde = self.sql(expression, "serde")
+1418        serde = f" SERDE {serde}" if serde else ""
+1419        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
+1420
+1421    def null_sql(self, *_) -> str:
+1422        return "NULL"
+1423
+1424    def boolean_sql(self, expression: exp.Boolean) -> str:
+1425        return "TRUE" if expression.this else "FALSE"
+1426
+1427    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
+1428        this = self.sql(expression, "this")
+1429        this = f"{this} " if this else this
+1430        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
+1431
+1432    def cluster_sql(self, expression: exp.Cluster) -> str:
+1433        return self.op_expressions("CLUSTER BY", expression)
+1434
+1435    def distribute_sql(self, expression: exp.Distribute) -> str:
+1436        return self.op_expressions("DISTRIBUTE BY", expression)
+1437
+1438    def sort_sql(self, expression: exp.Sort) -> str:
+1439        return self.op_expressions("SORT BY", expression)
+1440
+1441    def ordered_sql(self, expression: exp.Ordered) -> str:
+1442        desc = expression.args.get("desc")
+1443        asc = not desc
+1444
+1445        nulls_first = expression.args.get("nulls_first")
+1446        nulls_last = not nulls_first
+1447        nulls_are_large = self.null_ordering == "nulls_are_large"
+1448        nulls_are_small = self.null_ordering == "nulls_are_small"
+1449        nulls_are_last = self.null_ordering == "nulls_are_last"
+1450
+1451        sort_order = " DESC" if desc else ""
+1452        nulls_sort_change = ""
+1453        if nulls_first and (
+1454            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
+1455        ):
+1456            nulls_sort_change = " NULLS FIRST"
+1457        elif (
+1458            nulls_last
+1459            and ((asc and nulls_are_small) or (desc and nulls_are_large))
+1460            and not nulls_are_last
+1461        ):
+1462            nulls_sort_change = " NULLS LAST"
+1463
+1464        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
+1465            self.unsupported(
+1466                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
+1467            )
+1468            nulls_sort_change = ""
+1469
+1470        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
 1471
-1472        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
-1473
-1474    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
-1475        partition = self.partition_by_sql(expression)
-1476        order = self.sql(expression, "order")
-1477        measures = self.expressions(expression, key="measures")
-1478        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
-1479        rows = self.sql(expression, "rows")
-1480        rows = self.seg(rows) if rows else ""
-1481        after = self.sql(expression, "after")
-1482        after = self.seg(after) if after else ""
-1483        pattern = self.sql(expression, "pattern")
-1484        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
-1485        definition_sqls = [
-1486            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
-1487            for definition in expression.args.get("define", [])
-1488        ]
-1489        definitions = self.expressions(sqls=definition_sqls)
-1490        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
-1491        body = "".join(
-1492            (
-1493                partition,
-1494                order,
-1495                measures,
-1496                rows,
-1497                after,
-1498                pattern,
-1499                define,
-1500            )
-1501        )
-1502        alias = self.sql(expression, "alias")
-1503        alias = f" {alias}" if alias else ""
-1504        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
-1505
-1506    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
-1507        limit = expression.args.get("limit")
-1508
-1509        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
-1510            limit = exp.Limit(expression=limit.args.get("count"))
-1511        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
-1512            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1472    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
+1473        partition = self.partition_by_sql(expression)
+1474        order = self.sql(expression, "order")
+1475        measures = self.expressions(expression, key="measures")
+1476        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
+1477        rows = self.sql(expression, "rows")
+1478        rows = self.seg(rows) if rows else ""
+1479        after = self.sql(expression, "after")
+1480        after = self.seg(after) if after else ""
+1481        pattern = self.sql(expression, "pattern")
+1482        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
+1483        definition_sqls = [
+1484            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
+1485            for definition in expression.args.get("define", [])
+1486        ]
+1487        definitions = self.expressions(sqls=definition_sqls)
+1488        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
+1489        body = "".join(
+1490            (
+1491                partition,
+1492                order,
+1493                measures,
+1494                rows,
+1495                after,
+1496                pattern,
+1497                define,
+1498            )
+1499        )
+1500        alias = self.sql(expression, "alias")
+1501        alias = f" {alias}" if alias else ""
+1502        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
+1503
+1504    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
+1505        limit = expression.args.get("limit")
+1506
+1507        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
+1508            limit = exp.Limit(expression=limit.args.get("count"))
+1509        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
+1510            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1511
+1512        fetch = isinstance(limit, exp.Fetch)
 1513
-1514        fetch = isinstance(limit, exp.Fetch)
-1515
-1516        return csv(
-1517            *sqls,
-1518            *[self.sql(join) for join in expression.args.get("joins") or []],
-1519            self.sql(expression, "match"),
-1520            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
-1521            self.sql(expression, "where"),
-1522            self.sql(expression, "group"),
-1523            self.sql(expression, "having"),
-1524            *self.after_having_modifiers(expression),
-1525            self.sql(expression, "order"),
-1526            self.sql(expression, "offset") if fetch else self.sql(limit),
-1527            self.sql(limit) if fetch else self.sql(expression, "offset"),
-1528            *self.after_limit_modifiers(expression),
-1529            sep="",
-1530        )
-1531
-1532    def after_having_modifiers(self, expression):
-1533        return [
-1534            self.sql(expression, "qualify"),
-1535            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
-1536            if expression.args.get("windows")
-1537            else "",
-1538        ]
-1539
-1540    def after_limit_modifiers(self, expression):
-1541        locks = self.expressions(expression, key="locks", sep=" ")
-1542        locks = f" {locks}" if locks else ""
-1543        return [locks, self.sql(expression, "sample")]
-1544
-1545    def select_sql(self, expression: exp.Select) -> str:
-1546        hint = self.sql(expression, "hint")
-1547        distinct = self.sql(expression, "distinct")
-1548        distinct = f" {distinct}" if distinct else ""
-1549        kind = expression.args.get("kind")
-1550        kind = f" AS {kind}" if kind else ""
-1551        expressions = self.expressions(expression)
-1552        expressions = f"{self.sep()}{expressions}" if expressions else expressions
-1553        sql = self.query_modifiers(
-1554            expression,
-1555            f"SELECT{hint}{distinct}{kind}{expressions}",
-1556            self.sql(expression, "into", comment=False),
-1557            self.sql(expression, "from", comment=False),
-1558        )
-1559        return self.prepend_ctes(expression, sql)
-1560
-1561    def schema_sql(self, expression: exp.Schema) -> str:
-1562        this = self.sql(expression, "this")
-1563        this = f"{this} " if this else ""
-1564        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
-1565        return f"{this}{sql}"
-1566
-1567    def star_sql(self, expression: exp.Star) -> str:
-1568        except_ = self.expressions(expression, key="except", flat=True)
-1569        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
-1570        replace = self.expressions(expression, key="replace", flat=True)
-1571        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
-1572        return f"*{except_}{replace}"
-1573
-1574    def parameter_sql(self, expression: exp.Parameter) -> str:
-1575        this = self.sql(expression, "this")
-1576        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
-1577        return f"{self.PARAMETER_TOKEN}{this}"
-1578
-1579    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
-1580        this = self.sql(expression, "this")
-1581        kind = expression.text("kind")
-1582        if kind:
-1583            kind = f"{kind}."
-1584        return f"@@{kind}{this}"
-1585
-1586    def placeholder_sql(self, expression: exp.Placeholder) -> str:
-1587        return f":{expression.name}" if expression.name else "?"
-1588
-1589    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
-1590        alias = self.sql(expression, "alias")
-1591        alias = f"{sep}{alias}" if alias else ""
-1592
-1593        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1594        pivots = f" {pivots}" if pivots else ""
-1595
-1596        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
-1597        return self.prepend_ctes(expression, sql)
-1598
-1599    def qualify_sql(self, expression: exp.Qualify) -> str:
-1600        this = self.indent(self.sql(expression, "this"))
-1601        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
-1602
-1603    def union_sql(self, expression: exp.Union) -> str:
-1604        return self.prepend_ctes(
-1605            expression,
-1606            self.set_operation(expression, self.union_op(expression)),
-1607        )
-1608
-1609    def union_op(self, expression: exp.Union) -> str:
-1610        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
-1611        kind = kind if expression.args.get("distinct") else " ALL"
-1612        return f"UNION{kind}"
-1613
-1614    def unnest_sql(self, expression: exp.Unnest) -> str:
-1615        args = self.expressions(expression, flat=True)
-1616        alias = expression.args.get("alias")
-1617        if alias and self.unnest_column_only:
-1618            columns = alias.columns
-1619            alias = self.sql(columns[0]) if columns else ""
-1620        else:
-1621            alias = self.sql(expression, "alias")
-1622        alias = f" AS {alias}" if alias else alias
-1623        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
-1624        offset = expression.args.get("offset")
-1625        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
-1626        return f"UNNEST({args}){ordinality}{alias}{offset}"
-1627
-1628    def where_sql(self, expression: exp.Where) -> str:
-1629        this = self.indent(self.sql(expression, "this"))
-1630        return f"{self.seg('WHERE')}{self.sep()}{this}"
-1631
-1632    def window_sql(self, expression: exp.Window) -> str:
-1633        this = self.sql(expression, "this")
+1514        return csv(
+1515            *sqls,
+1516            *[self.sql(join) for join in expression.args.get("joins") or []],
+1517            self.sql(expression, "match"),
+1518            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
+1519            self.sql(expression, "where"),
+1520            self.sql(expression, "group"),
+1521            self.sql(expression, "having"),
+1522            *self.after_having_modifiers(expression),
+1523            self.sql(expression, "order"),
+1524            self.sql(expression, "offset") if fetch else self.sql(limit),
+1525            self.sql(limit) if fetch else self.sql(expression, "offset"),
+1526            *self.after_limit_modifiers(expression),
+1527            sep="",
+1528        )
+1529
+1530    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1531        return [
+1532            self.sql(expression, "qualify"),
+1533            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
+1534            if expression.args.get("windows")
+1535            else "",
+1536        ]
+1537
+1538    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1539        locks = self.expressions(expression, key="locks", sep=" ")
+1540        locks = f" {locks}" if locks else ""
+1541        return [locks, self.sql(expression, "sample")]
+1542
+1543    def select_sql(self, expression: exp.Select) -> str:
+1544        hint = self.sql(expression, "hint")
+1545        distinct = self.sql(expression, "distinct")
+1546        distinct = f" {distinct}" if distinct else ""
+1547        kind = expression.args.get("kind")
+1548        kind = f" AS {kind}" if kind else ""
+1549        expressions = self.expressions(expression)
+1550        expressions = f"{self.sep()}{expressions}" if expressions else expressions
+1551        sql = self.query_modifiers(
+1552            expression,
+1553            f"SELECT{hint}{distinct}{kind}{expressions}",
+1554            self.sql(expression, "into", comment=False),
+1555            self.sql(expression, "from", comment=False),
+1556        )
+1557        return self.prepend_ctes(expression, sql)
+1558
+1559    def schema_sql(self, expression: exp.Schema) -> str:
+1560        this = self.sql(expression, "this")
+1561        this = f"{this} " if this else ""
+1562        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
+1563        return f"{this}{sql}"
+1564
+1565    def star_sql(self, expression: exp.Star) -> str:
+1566        except_ = self.expressions(expression, key="except", flat=True)
+1567        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
+1568        replace = self.expressions(expression, key="replace", flat=True)
+1569        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
+1570        return f"*{except_}{replace}"
+1571
+1572    def parameter_sql(self, expression: exp.Parameter) -> str:
+1573        this = self.sql(expression, "this")
+1574        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
+1575        return f"{self.PARAMETER_TOKEN}{this}"
+1576
+1577    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
+1578        this = self.sql(expression, "this")
+1579        kind = expression.text("kind")
+1580        if kind:
+1581            kind = f"{kind}."
+1582        return f"@@{kind}{this}"
+1583
+1584    def placeholder_sql(self, expression: exp.Placeholder) -> str:
+1585        return f":{expression.name}" if expression.name else "?"
+1586
+1587    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
+1588        alias = self.sql(expression, "alias")
+1589        alias = f"{sep}{alias}" if alias else ""
+1590
+1591        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1592        pivots = f" {pivots}" if pivots else ""
+1593
+1594        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
+1595        return self.prepend_ctes(expression, sql)
+1596
+1597    def qualify_sql(self, expression: exp.Qualify) -> str:
+1598        this = self.indent(self.sql(expression, "this"))
+1599        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
+1600
+1601    def union_sql(self, expression: exp.Union) -> str:
+1602        return self.prepend_ctes(
+1603            expression,
+1604            self.set_operation(expression, self.union_op(expression)),
+1605        )
+1606
+1607    def union_op(self, expression: exp.Union) -> str:
+1608        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
+1609        kind = kind if expression.args.get("distinct") else " ALL"
+1610        return f"UNION{kind}"
+1611
+1612    def unnest_sql(self, expression: exp.Unnest) -> str:
+1613        args = self.expressions(expression, flat=True)
+1614        alias = expression.args.get("alias")
+1615        if alias and self.unnest_column_only:
+1616            columns = alias.columns
+1617            alias = self.sql(columns[0]) if columns else ""
+1618        else:
+1619            alias = self.sql(expression, "alias")
+1620        alias = f" AS {alias}" if alias else alias
+1621        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
+1622        offset = expression.args.get("offset")
+1623        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
+1624        return f"UNNEST({args}){ordinality}{alias}{offset}"
+1625
+1626    def where_sql(self, expression: exp.Where) -> str:
+1627        this = self.indent(self.sql(expression, "this"))
+1628        return f"{self.seg('WHERE')}{self.sep()}{this}"
+1629
+1630    def window_sql(self, expression: exp.Window) -> str:
+1631        this = self.sql(expression, "this")
+1632
+1633        partition = self.partition_by_sql(expression)
 1634
-1635        partition = self.partition_by_sql(expression)
-1636
-1637        order = expression.args.get("order")
-1638        order_sql = self.order_sql(order, flat=True) if order else ""
+1635        order = expression.args.get("order")
+1636        order_sql = self.order_sql(order, flat=True) if order else ""
+1637
+1638        partition_sql = partition + " " if partition and order else partition
 1639
-1640        partition_sql = partition + " " if partition and order else partition
-1641
-1642        spec = expression.args.get("spec")
-1643        spec_sql = " " + self.windowspec_sql(spec) if spec else ""
-1644
-1645        alias = self.sql(expression, "alias")
-1646        over = self.sql(expression, "over") or "OVER"
-1647        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
-1648
-1649        first = expression.args.get("first")
-1650        if first is not None:
-1651            first = " FIRST " if first else " LAST "
-1652        first = first or ""
-1653
-1654        if not partition and not order and not spec and alias:
-1655            return f"{this} {alias}"
+1640        spec = expression.args.get("spec")
+1641        spec_sql = " " + self.windowspec_sql(spec) if spec else ""
+1642
+1643        alias = self.sql(expression, "alias")
+1644        over = self.sql(expression, "over") or "OVER"
+1645        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
+1646
+1647        first = expression.args.get("first")
+1648        if first is not None:
+1649            first = " FIRST " if first else " LAST "
+1650        first = first or ""
+1651
+1652        if not partition and not order and not spec and alias:
+1653            return f"{this} {alias}"
+1654
+1655        window_args = alias + first + partition_sql + order_sql + spec_sql
 1656
-1657        window_args = alias + first + partition_sql + order_sql + spec_sql
+1657        return f"{this} ({window_args.strip()})"
 1658
-1659        return f"{this} ({window_args.strip()})"
-1660
-1661    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
-1662        partition = self.expressions(expression, key="partition_by", flat=True)
-1663        return f"PARTITION BY {partition}" if partition else ""
-1664
-1665    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
-1666        kind = self.sql(expression, "kind")
-1667        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
-1668        end = (
-1669            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
-1670            or "CURRENT ROW"
-1671        )
-1672        return f"{kind} BETWEEN {start} AND {end}"
-1673
-1674    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
-1675        this = self.sql(expression, "this")
-1676        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
-1677        return f"{this} WITHIN GROUP ({expression_sql})"
-1678
-1679    def between_sql(self, expression: exp.Between) -> str:
-1680        this = self.sql(expression, "this")
-1681        low = self.sql(expression, "low")
-1682        high = self.sql(expression, "high")
-1683        return f"{this} BETWEEN {low} AND {high}"
-1684
-1685    def bracket_sql(self, expression: exp.Bracket) -> str:
-1686        expressions = apply_index_offset(expression.this, expression.expressions, self.index_offset)
-1687        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1659    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
+1660        partition = self.expressions(expression, key="partition_by", flat=True)
+1661        return f"PARTITION BY {partition}" if partition else ""
+1662
+1663    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
+1664        kind = self.sql(expression, "kind")
+1665        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
+1666        end = (
+1667            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
+1668            or "CURRENT ROW"
+1669        )
+1670        return f"{kind} BETWEEN {start} AND {end}"
+1671
+1672    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
+1673        this = self.sql(expression, "this")
+1674        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
+1675        return f"{this} WITHIN GROUP ({expression_sql})"
+1676
+1677    def between_sql(self, expression: exp.Between) -> str:
+1678        this = self.sql(expression, "this")
+1679        low = self.sql(expression, "low")
+1680        high = self.sql(expression, "high")
+1681        return f"{this} BETWEEN {low} AND {high}"
+1682
+1683    def bracket_sql(self, expression: exp.Bracket) -> str:
+1684        expressions = apply_index_offset(expression.this, expression.expressions, self.index_offset)
+1685        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1686
+1687        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
 1688
-1689        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
-1690
-1691    def all_sql(self, expression: exp.All) -> str:
-1692        return f"ALL {self.wrap(expression)}"
-1693
-1694    def any_sql(self, expression: exp.Any) -> str:
-1695        this = self.sql(expression, "this")
-1696        if isinstance(expression.this, exp.Subqueryable):
-1697            this = self.wrap(this)
-1698        return f"ANY {this}"
-1699
-1700    def exists_sql(self, expression: exp.Exists) -> str:
-1701        return f"EXISTS{self.wrap(expression)}"
-1702
-1703    def case_sql(self, expression: exp.Case) -> str:
-1704        this = self.sql(expression, "this")
-1705        statements = [f"CASE {this}" if this else "CASE"]
-1706
-1707        for e in expression.args["ifs"]:
-1708            statements.append(f"WHEN {self.sql(e, 'this')}")
-1709            statements.append(f"THEN {self.sql(e, 'true')}")
+1689    def all_sql(self, expression: exp.All) -> str:
+1690        return f"ALL {self.wrap(expression)}"
+1691
+1692    def any_sql(self, expression: exp.Any) -> str:
+1693        this = self.sql(expression, "this")
+1694        if isinstance(expression.this, exp.Subqueryable):
+1695            this = self.wrap(this)
+1696        return f"ANY {this}"
+1697
+1698    def exists_sql(self, expression: exp.Exists) -> str:
+1699        return f"EXISTS{self.wrap(expression)}"
+1700
+1701    def case_sql(self, expression: exp.Case) -> str:
+1702        this = self.sql(expression, "this")
+1703        statements = [f"CASE {this}" if this else "CASE"]
+1704
+1705        for e in expression.args["ifs"]:
+1706            statements.append(f"WHEN {self.sql(e, 'this')}")
+1707            statements.append(f"THEN {self.sql(e, 'true')}")
+1708
+1709        default = self.sql(expression, "default")
 1710
-1711        default = self.sql(expression, "default")
-1712
-1713        if default:
-1714            statements.append(f"ELSE {default}")
+1711        if default:
+1712            statements.append(f"ELSE {default}")
+1713
+1714        statements.append("END")
 1715
-1716        statements.append("END")
-1717
-1718        if self.pretty and self.text_width(statements) > self._max_text_width:
-1719            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
+1716        if self.pretty and self.text_width(statements) > self._max_text_width:
+1717            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
+1718
+1719        return " ".join(statements)
 1720
-1721        return " ".join(statements)
-1722
-1723    def constraint_sql(self, expression: exp.Constraint) -> str:
-1724        this = self.sql(expression, "this")
-1725        expressions = self.expressions(expression, flat=True)
-1726        return f"CONSTRAINT {this} {expressions}"
-1727
-1728    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
-1729        order = expression.args.get("order")
-1730        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
-1731        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
-1732
-1733    def extract_sql(self, expression: exp.Extract) -> str:
-1734        this = self.sql(expression, "this")
-1735        expression_sql = self.sql(expression, "expression")
-1736        return f"EXTRACT({this} FROM {expression_sql})"
-1737
-1738    def trim_sql(self, expression: exp.Trim) -> str:
-1739        trim_type = self.sql(expression, "position")
-1740
-1741        if trim_type == "LEADING":
-1742            return self.func("LTRIM", expression.this)
-1743        elif trim_type == "TRAILING":
-1744            return self.func("RTRIM", expression.this)
-1745        else:
-1746            return self.func("TRIM", expression.this, expression.expression)
-1747
-1748    def concat_sql(self, expression: exp.Concat) -> str:
-1749        if len(expression.expressions) == 1:
-1750            return self.sql(expression.expressions[0])
-1751        return self.function_fallback_sql(expression)
-1752
-1753    def check_sql(self, expression: exp.Check) -> str:
-1754        this = self.sql(expression, key="this")
-1755        return f"CHECK ({this})"
-1756
-1757    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
-1758        expressions = self.expressions(expression, flat=True)
-1759        reference = self.sql(expression, "reference")
-1760        reference = f" {reference}" if reference else ""
-1761        delete = self.sql(expression, "delete")
-1762        delete = f" ON DELETE {delete}" if delete else ""
-1763        update = self.sql(expression, "update")
-1764        update = f" ON UPDATE {update}" if update else ""
-1765        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
-1766
-1767    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
-1768        expressions = self.expressions(expression, flat=True)
-1769        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1770        options = f" {options}" if options else ""
-1771        return f"PRIMARY KEY ({expressions}){options}"
-1772
-1773    def unique_sql(self, expression: exp.Unique) -> str:
-1774        columns = self.expressions(expression, key="expressions")
-1775        return f"UNIQUE ({columns})"
-1776
-1777    def if_sql(self, expression: exp.If) -> str:
-1778        return self.case_sql(
-1779            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
-1780        )
-1781
-1782    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
-1783        modifier = expression.args.get("modifier")
-1784        modifier = f" {modifier}" if modifier else ""
-1785        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
-1786
-1787    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
-1788        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
-1789
-1790    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
-1791        expressions = self.expressions(expression)
-1792        null_handling = expression.args.get("null_handling")
-1793        null_handling = f" {null_handling}" if null_handling else ""
-1794        unique_keys = expression.args.get("unique_keys")
-1795        if unique_keys is not None:
-1796            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
-1797        else:
-1798            unique_keys = ""
-1799        return_type = self.sql(expression, "return_type")
-1800        return_type = f" RETURNING {return_type}" if return_type else ""
-1801        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
-1802        encoding = self.sql(expression, "encoding")
-1803        encoding = f" ENCODING {encoding}" if encoding else ""
-1804        return f"JSON_OBJECT({expressions}{null_handling}{unique_keys}{return_type}{format_json}{encoding})"
-1805
-1806    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
-1807        this = self.sql(expression, "this")
-1808        kind = self.sql(expression, "kind")
-1809        path = self.sql(expression, "path")
-1810        path = f" {path}" if path else ""
-1811        as_json = " AS JSON" if expression.args.get("as_json") else ""
-1812        return f"{this} {kind}{path}{as_json}"
-1813
-1814    def openjson_sql(self, expression: exp.OpenJSON) -> str:
-1815        this = self.sql(expression, "this")
-1816        path = self.sql(expression, "path")
-1817        path = f", {path}" if path else ""
-1818        expressions = self.expressions(expression)
-1819        with_ = (
-1820            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
-1821            if expressions
-1822            else ""
-1823        )
-1824        return f"OPENJSON({this}{path}){with_}"
-1825
-1826    def in_sql(self, expression: exp.In) -> str:
-1827        query = expression.args.get("query")
-1828        unnest = expression.args.get("unnest")
-1829        field = expression.args.get("field")
-1830        is_global = " GLOBAL" if expression.args.get("is_global") else ""
-1831
-1832        if query:
-1833            in_sql = self.wrap(query)
-1834        elif unnest:
-1835            in_sql = self.in_unnest_op(unnest)
-1836        elif field:
-1837            in_sql = self.sql(field)
-1838        else:
-1839            in_sql = f"({self.expressions(expression, flat=True)})"
+1721    def constraint_sql(self, expression: exp.Constraint) -> str:
+1722        this = self.sql(expression, "this")
+1723        expressions = self.expressions(expression, flat=True)
+1724        return f"CONSTRAINT {this} {expressions}"
+1725
+1726    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
+1727        order = expression.args.get("order")
+1728        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
+1729        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+1730
+1731    def extract_sql(self, expression: exp.Extract) -> str:
+1732        this = self.sql(expression, "this")
+1733        expression_sql = self.sql(expression, "expression")
+1734        return f"EXTRACT({this} FROM {expression_sql})"
+1735
+1736    def trim_sql(self, expression: exp.Trim) -> str:
+1737        trim_type = self.sql(expression, "position")
+1738
+1739        if trim_type == "LEADING":
+1740            return self.func("LTRIM", expression.this)
+1741        elif trim_type == "TRAILING":
+1742            return self.func("RTRIM", expression.this)
+1743        else:
+1744            return self.func("TRIM", expression.this, expression.expression)
+1745
+1746    def concat_sql(self, expression: exp.Concat) -> str:
+1747        if len(expression.expressions) == 1:
+1748            return self.sql(expression.expressions[0])
+1749        return self.function_fallback_sql(expression)
+1750
+1751    def check_sql(self, expression: exp.Check) -> str:
+1752        this = self.sql(expression, key="this")
+1753        return f"CHECK ({this})"
+1754
+1755    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
+1756        expressions = self.expressions(expression, flat=True)
+1757        reference = self.sql(expression, "reference")
+1758        reference = f" {reference}" if reference else ""
+1759        delete = self.sql(expression, "delete")
+1760        delete = f" ON DELETE {delete}" if delete else ""
+1761        update = self.sql(expression, "update")
+1762        update = f" ON UPDATE {update}" if update else ""
+1763        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
+1764
+1765    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
+1766        expressions = self.expressions(expression, flat=True)
+1767        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1768        options = f" {options}" if options else ""
+1769        return f"PRIMARY KEY ({expressions}){options}"
+1770
+1771    def unique_sql(self, expression: exp.Unique) -> str:
+1772        columns = self.expressions(expression, key="expressions")
+1773        return f"UNIQUE ({columns})"
+1774
+1775    def if_sql(self, expression: exp.If) -> str:
+1776        return self.case_sql(
+1777            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
+1778        )
+1779
+1780    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
+1781        modifier = expression.args.get("modifier")
+1782        modifier = f" {modifier}" if modifier else ""
+1783        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
+1784
+1785    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
+1786        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
+1787
+1788    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
+1789        expressions = self.expressions(expression)
+1790        null_handling = expression.args.get("null_handling")
+1791        null_handling = f" {null_handling}" if null_handling else ""
+1792        unique_keys = expression.args.get("unique_keys")
+1793        if unique_keys is not None:
+1794            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
+1795        else:
+1796            unique_keys = ""
+1797        return_type = self.sql(expression, "return_type")
+1798        return_type = f" RETURNING {return_type}" if return_type else ""
+1799        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
+1800        encoding = self.sql(expression, "encoding")
+1801        encoding = f" ENCODING {encoding}" if encoding else ""
+1802        return f"JSON_OBJECT({expressions}{null_handling}{unique_keys}{return_type}{format_json}{encoding})"
+1803
+1804    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
+1805        this = self.sql(expression, "this")
+1806        kind = self.sql(expression, "kind")
+1807        path = self.sql(expression, "path")
+1808        path = f" {path}" if path else ""
+1809        as_json = " AS JSON" if expression.args.get("as_json") else ""
+1810        return f"{this} {kind}{path}{as_json}"
+1811
+1812    def openjson_sql(self, expression: exp.OpenJSON) -> str:
+1813        this = self.sql(expression, "this")
+1814        path = self.sql(expression, "path")
+1815        path = f", {path}" if path else ""
+1816        expressions = self.expressions(expression)
+1817        with_ = (
+1818            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
+1819            if expressions
+1820            else ""
+1821        )
+1822        return f"OPENJSON({this}{path}){with_}"
+1823
+1824    def in_sql(self, expression: exp.In) -> str:
+1825        query = expression.args.get("query")
+1826        unnest = expression.args.get("unnest")
+1827        field = expression.args.get("field")
+1828        is_global = " GLOBAL" if expression.args.get("is_global") else ""
+1829
+1830        if query:
+1831            in_sql = self.wrap(query)
+1832        elif unnest:
+1833            in_sql = self.in_unnest_op(unnest)
+1834        elif field:
+1835            in_sql = self.sql(field)
+1836        else:
+1837            in_sql = f"({self.expressions(expression, flat=True)})"
+1838
+1839        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
 1840
-1841        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
-1842
-1843    def in_unnest_op(self, unnest: exp.Unnest) -> str:
-1844        return f"(SELECT {self.sql(unnest)})"
-1845
-1846    def interval_sql(self, expression: exp.Interval) -> str:
-1847        unit = self.sql(expression, "unit")
-1848        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
-1849            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
-1850        unit = f" {unit}" if unit else ""
-1851
-1852        if self.SINGLE_STRING_INTERVAL:
-1853            this = expression.this.name if expression.this else ""
-1854            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
-1855
-1856        this = self.sql(expression, "this")
-1857        if this:
-1858            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
-1859            this = f" {this}" if unwrapped else f" ({this})"
+1841    def in_unnest_op(self, unnest: exp.Unnest) -> str:
+1842        return f"(SELECT {self.sql(unnest)})"
+1843
+1844    def interval_sql(self, expression: exp.Interval) -> str:
+1845        unit = self.sql(expression, "unit")
+1846        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
+1847            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
+1848        unit = f" {unit}" if unit else ""
+1849
+1850        if self.SINGLE_STRING_INTERVAL:
+1851            this = expression.this.name if expression.this else ""
+1852            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
+1853
+1854        this = self.sql(expression, "this")
+1855        if this:
+1856            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
+1857            this = f" {this}" if unwrapped else f" ({this})"
+1858
+1859        return f"INTERVAL{this}{unit}"
 1860
-1861        return f"INTERVAL{this}{unit}"
-1862
-1863    def return_sql(self, expression: exp.Return) -> str:
-1864        return f"RETURN {self.sql(expression, 'this')}"
-1865
-1866    def reference_sql(self, expression: exp.Reference) -> str:
-1867        this = self.sql(expression, "this")
-1868        expressions = self.expressions(expression, flat=True)
-1869        expressions = f"({expressions})" if expressions else ""
-1870        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1871        options = f" {options}" if options else ""
-1872        return f"REFERENCES {this}{expressions}{options}"
-1873
-1874    def anonymous_sql(self, expression: exp.Anonymous) -> str:
-1875        return self.func(expression.name, *expression.expressions)
-1876
-1877    def paren_sql(self, expression: exp.Paren) -> str:
-1878        if isinstance(expression.unnest(), exp.Select):
-1879            sql = self.wrap(expression)
-1880        else:
-1881            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
-1882            sql = f"({sql}{self.seg(')', sep='')}"
+1861    def return_sql(self, expression: exp.Return) -> str:
+1862        return f"RETURN {self.sql(expression, 'this')}"
+1863
+1864    def reference_sql(self, expression: exp.Reference) -> str:
+1865        this = self.sql(expression, "this")
+1866        expressions = self.expressions(expression, flat=True)
+1867        expressions = f"({expressions})" if expressions else ""
+1868        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1869        options = f" {options}" if options else ""
+1870        return f"REFERENCES {this}{expressions}{options}"
+1871
+1872    def anonymous_sql(self, expression: exp.Anonymous) -> str:
+1873        return self.func(expression.name, *expression.expressions)
+1874
+1875    def paren_sql(self, expression: exp.Paren) -> str:
+1876        if isinstance(expression.unnest(), exp.Select):
+1877            sql = self.wrap(expression)
+1878        else:
+1879            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
+1880            sql = f"({sql}{self.seg(')', sep='')}"
+1881
+1882        return self.prepend_ctes(expression, sql)
 1883
-1884        return self.prepend_ctes(expression, sql)
-1885
-1886    def neg_sql(self, expression: exp.Neg) -> str:
-1887        # This makes sure we don't convert "- - 5" to "--5", which is a comment
-1888        this_sql = self.sql(expression, "this")
-1889        sep = " " if this_sql[0] == "-" else ""
-1890        return f"-{sep}{this_sql}"
-1891
-1892    def not_sql(self, expression: exp.Not) -> str:
-1893        return f"NOT {self.sql(expression, 'this')}"
-1894
-1895    def alias_sql(self, expression: exp.Alias) -> str:
-1896        alias = self.sql(expression, "alias")
-1897        alias = f" AS {alias}" if alias else ""
-1898        return f"{self.sql(expression, 'this')}{alias}"
-1899
-1900    def aliases_sql(self, expression: exp.Aliases) -> str:
-1901        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
-1902
-1903    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
-1904        this = self.sql(expression, "this")
-1905        zone = self.sql(expression, "zone")
-1906        return f"{this} AT TIME ZONE {zone}"
-1907
-1908    def add_sql(self, expression: exp.Add) -> str:
-1909        return self.binary(expression, "+")
-1910
-1911    def and_sql(self, expression: exp.And) -> str:
-1912        return self.connector_sql(expression, "AND")
-1913
-1914    def connector_sql(self, expression: exp.Connector, op: str) -> str:
-1915        if not self.pretty:
-1916            return self.binary(expression, op)
-1917
-1918        sqls = tuple(
-1919            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
-1920            for i, e in enumerate(expression.flatten(unnest=False))
-1921        )
-1922
-1923        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
-1924        return f"{sep}{op} ".join(sqls)
-1925
-1926    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
-1927        return self.binary(expression, "&")
-1928
-1929    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
-1930        return self.binary(expression, "<<")
-1931
-1932    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
-1933        return f"~{self.sql(expression, 'this')}"
-1934
-1935    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
-1936        return self.binary(expression, "|")
-1937
-1938    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
-1939        return self.binary(expression, ">>")
-1940
-1941    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
-1942        return self.binary(expression, "^")
-1943
-1944    def cast_sql(self, expression: exp.Cast) -> str:
-1945        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
-1946
-1947    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
-1948        zone = self.sql(expression, "this")
-1949        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
-1950
-1951    def collate_sql(self, expression: exp.Collate) -> str:
-1952        return self.binary(expression, "COLLATE")
-1953
-1954    def command_sql(self, expression: exp.Command) -> str:
-1955        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
-1956
-1957    def comment_sql(self, expression: exp.Comment) -> str:
-1958        this = self.sql(expression, "this")
-1959        kind = expression.args["kind"]
-1960        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-1961        expression_sql = self.sql(expression, "expression")
-1962        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
-1963
-1964    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
-1965        this = self.sql(expression, "this")
-1966        delete = " DELETE" if expression.args.get("delete") else ""
-1967        recompress = self.sql(expression, "recompress")
-1968        recompress = f" RECOMPRESS {recompress}" if recompress else ""
-1969        to_disk = self.sql(expression, "to_disk")
-1970        to_disk = f" TO DISK {to_disk}" if to_disk else ""
-1971        to_volume = self.sql(expression, "to_volume")
-1972        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
-1973        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
-1974
-1975    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
-1976        where = self.sql(expression, "where")
-1977        group = self.sql(expression, "group")
-1978        aggregates = self.expressions(expression, key="aggregates")
-1979        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
-1980
-1981        if not (where or group or aggregates) and len(expression.expressions) == 1:
-1982            return f"TTL {self.expressions(expression, flat=True)}"
+1884    def neg_sql(self, expression: exp.Neg) -> str:
+1885        # This makes sure we don't convert "- - 5" to "--5", which is a comment
+1886        this_sql = self.sql(expression, "this")
+1887        sep = " " if this_sql[0] == "-" else ""
+1888        return f"-{sep}{this_sql}"
+1889
+1890    def not_sql(self, expression: exp.Not) -> str:
+1891        return f"NOT {self.sql(expression, 'this')}"
+1892
+1893    def alias_sql(self, expression: exp.Alias) -> str:
+1894        alias = self.sql(expression, "alias")
+1895        alias = f" AS {alias}" if alias else ""
+1896        return f"{self.sql(expression, 'this')}{alias}"
+1897
+1898    def aliases_sql(self, expression: exp.Aliases) -> str:
+1899        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
+1900
+1901    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
+1902        this = self.sql(expression, "this")
+1903        zone = self.sql(expression, "zone")
+1904        return f"{this} AT TIME ZONE {zone}"
+1905
+1906    def add_sql(self, expression: exp.Add) -> str:
+1907        return self.binary(expression, "+")
+1908
+1909    def and_sql(self, expression: exp.And) -> str:
+1910        return self.connector_sql(expression, "AND")
+1911
+1912    def connector_sql(self, expression: exp.Connector, op: str) -> str:
+1913        if not self.pretty:
+1914            return self.binary(expression, op)
+1915
+1916        sqls = tuple(
+1917            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
+1918            for i, e in enumerate(expression.flatten(unnest=False))
+1919        )
+1920
+1921        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
+1922        return f"{sep}{op} ".join(sqls)
+1923
+1924    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
+1925        return self.binary(expression, "&")
+1926
+1927    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
+1928        return self.binary(expression, "<<")
+1929
+1930    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
+1931        return f"~{self.sql(expression, 'this')}"
+1932
+1933    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
+1934        return self.binary(expression, "|")
+1935
+1936    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
+1937        return self.binary(expression, ">>")
+1938
+1939    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
+1940        return self.binary(expression, "^")
+1941
+1942    def cast_sql(self, expression: exp.Cast) -> str:
+1943        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+1944
+1945    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
+1946        zone = self.sql(expression, "this")
+1947        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
+1948
+1949    def collate_sql(self, expression: exp.Collate) -> str:
+1950        return self.binary(expression, "COLLATE")
+1951
+1952    def command_sql(self, expression: exp.Command) -> str:
+1953        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
+1954
+1955    def comment_sql(self, expression: exp.Comment) -> str:
+1956        this = self.sql(expression, "this")
+1957        kind = expression.args["kind"]
+1958        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+1959        expression_sql = self.sql(expression, "expression")
+1960        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
+1961
+1962    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
+1963        this = self.sql(expression, "this")
+1964        delete = " DELETE" if expression.args.get("delete") else ""
+1965        recompress = self.sql(expression, "recompress")
+1966        recompress = f" RECOMPRESS {recompress}" if recompress else ""
+1967        to_disk = self.sql(expression, "to_disk")
+1968        to_disk = f" TO DISK {to_disk}" if to_disk else ""
+1969        to_volume = self.sql(expression, "to_volume")
+1970        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
+1971        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
+1972
+1973    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
+1974        where = self.sql(expression, "where")
+1975        group = self.sql(expression, "group")
+1976        aggregates = self.expressions(expression, key="aggregates")
+1977        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
+1978
+1979        if not (where or group or aggregates) and len(expression.expressions) == 1:
+1980            return f"TTL {self.expressions(expression, flat=True)}"
+1981
+1982        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
 1983
-1984        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
-1985
-1986    def transaction_sql(self, expression: exp.Transaction) -> str:
-1987        return "BEGIN"
-1988
-1989    def commit_sql(self, expression: exp.Commit) -> str:
-1990        chain = expression.args.get("chain")
-1991        if chain is not None:
-1992            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+1984    def transaction_sql(self, expression: exp.Transaction) -> str:
+1985        return "BEGIN"
+1986
+1987    def commit_sql(self, expression: exp.Commit) -> str:
+1988        chain = expression.args.get("chain")
+1989        if chain is not None:
+1990            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+1991
+1992        return f"COMMIT{chain or ''}"
 1993
-1994        return f"COMMIT{chain or ''}"
-1995
-1996    def rollback_sql(self, expression: exp.Rollback) -> str:
-1997        savepoint = expression.args.get("savepoint")
-1998        savepoint = f" TO {savepoint}" if savepoint else ""
-1999        return f"ROLLBACK{savepoint}"
-2000
-2001    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
-2002        this = self.sql(expression, "this")
-2003
-2004        dtype = self.sql(expression, "dtype")
-2005        if dtype:
-2006            collate = self.sql(expression, "collate")
-2007            collate = f" COLLATE {collate}" if collate else ""
-2008            using = self.sql(expression, "using")
-2009            using = f" USING {using}" if using else ""
-2010            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
-2011
-2012        default = self.sql(expression, "default")
-2013        if default:
-2014            return f"ALTER COLUMN {this} SET DEFAULT {default}"
-2015
-2016        if not expression.args.get("drop"):
-2017            self.unsupported("Unsupported ALTER COLUMN syntax")
+1994    def rollback_sql(self, expression: exp.Rollback) -> str:
+1995        savepoint = expression.args.get("savepoint")
+1996        savepoint = f" TO {savepoint}" if savepoint else ""
+1997        return f"ROLLBACK{savepoint}"
+1998
+1999    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
+2000        this = self.sql(expression, "this")
+2001
+2002        dtype = self.sql(expression, "dtype")
+2003        if dtype:
+2004            collate = self.sql(expression, "collate")
+2005            collate = f" COLLATE {collate}" if collate else ""
+2006            using = self.sql(expression, "using")
+2007            using = f" USING {using}" if using else ""
+2008            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
+2009
+2010        default = self.sql(expression, "default")
+2011        if default:
+2012            return f"ALTER COLUMN {this} SET DEFAULT {default}"
+2013
+2014        if not expression.args.get("drop"):
+2015            self.unsupported("Unsupported ALTER COLUMN syntax")
+2016
+2017        return f"ALTER COLUMN {this} DROP DEFAULT"
 2018
-2019        return f"ALTER COLUMN {this} DROP DEFAULT"
-2020
-2021    def renametable_sql(self, expression: exp.RenameTable) -> str:
-2022        if not self.RENAME_TABLE_WITH_DB:
-2023            # Remove db from tables
-2024            expression = expression.transform(
-2025                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
-2026            )
-2027        this = self.sql(expression, "this")
-2028        return f"RENAME TO {this}"
-2029
-2030    def altertable_sql(self, expression: exp.AlterTable) -> str:
-2031        actions = expression.args["actions"]
-2032
-2033        if isinstance(actions[0], exp.ColumnDef):
-2034            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
-2035        elif isinstance(actions[0], exp.Schema):
-2036            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
-2037        elif isinstance(actions[0], exp.Delete):
-2038            actions = self.expressions(expression, key="actions", flat=True)
-2039        else:
-2040            actions = self.expressions(expression, key="actions")
-2041
-2042        exists = " IF EXISTS" if expression.args.get("exists") else ""
-2043        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
-2044
-2045    def droppartition_sql(self, expression: exp.DropPartition) -> str:
-2046        expressions = self.expressions(expression)
-2047        exists = " IF EXISTS " if expression.args.get("exists") else " "
-2048        return f"DROP{exists}{expressions}"
-2049
-2050    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
-2051        this = self.sql(expression, "this")
-2052        expression_ = self.sql(expression, "expression")
-2053        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
-2054
-2055        enforced = expression.args.get("enforced")
-2056        if enforced is not None:
-2057            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2019    def renametable_sql(self, expression: exp.RenameTable) -> str:
+2020        if not self.RENAME_TABLE_WITH_DB:
+2021            # Remove db from tables
+2022            expression = expression.transform(
+2023                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
+2024            )
+2025        this = self.sql(expression, "this")
+2026        return f"RENAME TO {this}"
+2027
+2028    def altertable_sql(self, expression: exp.AlterTable) -> str:
+2029        actions = expression.args["actions"]
+2030
+2031        if isinstance(actions[0], exp.ColumnDef):
+2032            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
+2033        elif isinstance(actions[0], exp.Schema):
+2034            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
+2035        elif isinstance(actions[0], exp.Delete):
+2036            actions = self.expressions(expression, key="actions", flat=True)
+2037        else:
+2038            actions = self.expressions(expression, key="actions")
+2039
+2040        exists = " IF EXISTS" if expression.args.get("exists") else ""
+2041        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+2042
+2043    def droppartition_sql(self, expression: exp.DropPartition) -> str:
+2044        expressions = self.expressions(expression)
+2045        exists = " IF EXISTS " if expression.args.get("exists") else " "
+2046        return f"DROP{exists}{expressions}"
+2047
+2048    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
+2049        this = self.sql(expression, "this")
+2050        expression_ = self.sql(expression, "expression")
+2051        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
+2052
+2053        enforced = expression.args.get("enforced")
+2054        if enforced is not None:
+2055            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2056
+2057        return f"{add_constraint} {expression_}"
 2058
-2059        return f"{add_constraint} {expression_}"
-2060
-2061    def distinct_sql(self, expression: exp.Distinct) -> str:
-2062        this = self.expressions(expression, flat=True)
-2063        this = f" {this}" if this else ""
-2064
-2065        on = self.sql(expression, "on")
-2066        on = f" ON {on}" if on else ""
-2067        return f"DISTINCT{this}{on}"
-2068
-2069    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
-2070        return f"{self.sql(expression, 'this')} IGNORE NULLS"
-2071
-2072    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
-2073        return f"{self.sql(expression, 'this')} RESPECT NULLS"
-2074
-2075    def intdiv_sql(self, expression: exp.IntDiv) -> str:
-2076        return self.sql(
-2077            exp.Cast(
-2078                this=exp.Div(this=expression.this, expression=expression.expression),
-2079                to=exp.DataType(this=exp.DataType.Type.INT),
-2080            )
-2081        )
-2082
-2083    def dpipe_sql(self, expression: exp.DPipe) -> str:
-2084        return self.binary(expression, "||")
-2085
-2086    def div_sql(self, expression: exp.Div) -> str:
-2087        return self.binary(expression, "/")
-2088
-2089    def overlaps_sql(self, expression: exp.Overlaps) -> str:
-2090        return self.binary(expression, "OVERLAPS")
-2091
-2092    def distance_sql(self, expression: exp.Distance) -> str:
-2093        return self.binary(expression, "<->")
-2094
-2095    def dot_sql(self, expression: exp.Dot) -> str:
-2096        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
-2097
-2098    def eq_sql(self, expression: exp.EQ) -> str:
-2099        return self.binary(expression, "=")
-2100
-2101    def escape_sql(self, expression: exp.Escape) -> str:
-2102        return self.binary(expression, "ESCAPE")
-2103
-2104    def glob_sql(self, expression: exp.Glob) -> str:
-2105        return self.binary(expression, "GLOB")
-2106
-2107    def gt_sql(self, expression: exp.GT) -> str:
-2108        return self.binary(expression, ">")
-2109
-2110    def gte_sql(self, expression: exp.GTE) -> str:
-2111        return self.binary(expression, ">=")
-2112
-2113    def ilike_sql(self, expression: exp.ILike) -> str:
-2114        return self.binary(expression, "ILIKE")
-2115
-2116    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
-2117        return self.binary(expression, "ILIKE ANY")
-2118
-2119    def is_sql(self, expression: exp.Is) -> str:
-2120        return self.binary(expression, "IS")
-2121
-2122    def like_sql(self, expression: exp.Like) -> str:
-2123        return self.binary(expression, "LIKE")
-2124
-2125    def likeany_sql(self, expression: exp.LikeAny) -> str:
-2126        return self.binary(expression, "LIKE ANY")
-2127
-2128    def similarto_sql(self, expression: exp.SimilarTo) -> str:
-2129        return self.binary(expression, "SIMILAR TO")
-2130
-2131    def lt_sql(self, expression: exp.LT) -> str:
-2132        return self.binary(expression, "<")
-2133
-2134    def lte_sql(self, expression: exp.LTE) -> str:
-2135        return self.binary(expression, "<=")
-2136
-2137    def mod_sql(self, expression: exp.Mod) -> str:
-2138        return self.binary(expression, "%")
-2139
-2140    def mul_sql(self, expression: exp.Mul) -> str:
-2141        return self.binary(expression, "*")
-2142
-2143    def neq_sql(self, expression: exp.NEQ) -> str:
-2144        return self.binary(expression, "<>")
-2145
-2146    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
-2147        return self.binary(expression, "IS NOT DISTINCT FROM")
-2148
-2149    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
-2150        return self.binary(expression, "IS DISTINCT FROM")
-2151
-2152    def or_sql(self, expression: exp.Or) -> str:
-2153        return self.connector_sql(expression, "OR")
-2154
-2155    def slice_sql(self, expression: exp.Slice) -> str:
-2156        return self.binary(expression, ":")
-2157
-2158    def sub_sql(self, expression: exp.Sub) -> str:
-2159        return self.binary(expression, "-")
-2160
-2161    def trycast_sql(self, expression: exp.TryCast) -> str:
-2162        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
-2163
-2164    def use_sql(self, expression: exp.Use) -> str:
-2165        kind = self.sql(expression, "kind")
-2166        kind = f" {kind}" if kind else ""
-2167        this = self.sql(expression, "this")
-2168        this = f" {this}" if this else ""
-2169        return f"USE{kind}{this}"
-2170
-2171    def binary(self, expression: exp.Binary, op: str) -> str:
-2172        op = self.maybe_comment(op, comments=expression.comments)
-2173        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
-2174
-2175    def function_fallback_sql(self, expression: exp.Func) -> str:
-2176        args = []
-2177        for arg_value in expression.args.values():
-2178            if isinstance(arg_value, list):
-2179                for value in arg_value:
-2180                    args.append(value)
-2181            else:
-2182                args.append(arg_value)
+2059    def distinct_sql(self, expression: exp.Distinct) -> str:
+2060        this = self.expressions(expression, flat=True)
+2061        this = f" {this}" if this else ""
+2062
+2063        on = self.sql(expression, "on")
+2064        on = f" ON {on}" if on else ""
+2065        return f"DISTINCT{this}{on}"
+2066
+2067    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
+2068        return f"{self.sql(expression, 'this')} IGNORE NULLS"
+2069
+2070    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
+2071        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+2072
+2073    def intdiv_sql(self, expression: exp.IntDiv) -> str:
+2074        return self.sql(
+2075            exp.Cast(
+2076                this=exp.Div(this=expression.this, expression=expression.expression),
+2077                to=exp.DataType(this=exp.DataType.Type.INT),
+2078            )
+2079        )
+2080
+2081    def dpipe_sql(self, expression: exp.DPipe) -> str:
+2082        return self.binary(expression, "||")
+2083
+2084    def div_sql(self, expression: exp.Div) -> str:
+2085        return self.binary(expression, "/")
+2086
+2087    def overlaps_sql(self, expression: exp.Overlaps) -> str:
+2088        return self.binary(expression, "OVERLAPS")
+2089
+2090    def distance_sql(self, expression: exp.Distance) -> str:
+2091        return self.binary(expression, "<->")
+2092
+2093    def dot_sql(self, expression: exp.Dot) -> str:
+2094        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
+2095
+2096    def eq_sql(self, expression: exp.EQ) -> str:
+2097        return self.binary(expression, "=")
+2098
+2099    def escape_sql(self, expression: exp.Escape) -> str:
+2100        return self.binary(expression, "ESCAPE")
+2101
+2102    def glob_sql(self, expression: exp.Glob) -> str:
+2103        return self.binary(expression, "GLOB")
+2104
+2105    def gt_sql(self, expression: exp.GT) -> str:
+2106        return self.binary(expression, ">")
+2107
+2108    def gte_sql(self, expression: exp.GTE) -> str:
+2109        return self.binary(expression, ">=")
+2110
+2111    def ilike_sql(self, expression: exp.ILike) -> str:
+2112        return self.binary(expression, "ILIKE")
+2113
+2114    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
+2115        return self.binary(expression, "ILIKE ANY")
+2116
+2117    def is_sql(self, expression: exp.Is) -> str:
+2118        return self.binary(expression, "IS")
+2119
+2120    def like_sql(self, expression: exp.Like) -> str:
+2121        return self.binary(expression, "LIKE")
+2122
+2123    def likeany_sql(self, expression: exp.LikeAny) -> str:
+2124        return self.binary(expression, "LIKE ANY")
+2125
+2126    def similarto_sql(self, expression: exp.SimilarTo) -> str:
+2127        return self.binary(expression, "SIMILAR TO")
+2128
+2129    def lt_sql(self, expression: exp.LT) -> str:
+2130        return self.binary(expression, "<")
+2131
+2132    def lte_sql(self, expression: exp.LTE) -> str:
+2133        return self.binary(expression, "<=")
+2134
+2135    def mod_sql(self, expression: exp.Mod) -> str:
+2136        return self.binary(expression, "%")
+2137
+2138    def mul_sql(self, expression: exp.Mul) -> str:
+2139        return self.binary(expression, "*")
+2140
+2141    def neq_sql(self, expression: exp.NEQ) -> str:
+2142        return self.binary(expression, "<>")
+2143
+2144    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
+2145        return self.binary(expression, "IS NOT DISTINCT FROM")
+2146
+2147    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
+2148        return self.binary(expression, "IS DISTINCT FROM")
+2149
+2150    def or_sql(self, expression: exp.Or) -> str:
+2151        return self.connector_sql(expression, "OR")
+2152
+2153    def slice_sql(self, expression: exp.Slice) -> str:
+2154        return self.binary(expression, ":")
+2155
+2156    def sub_sql(self, expression: exp.Sub) -> str:
+2157        return self.binary(expression, "-")
+2158
+2159    def trycast_sql(self, expression: exp.TryCast) -> str:
+2160        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+2161
+2162    def use_sql(self, expression: exp.Use) -> str:
+2163        kind = self.sql(expression, "kind")
+2164        kind = f" {kind}" if kind else ""
+2165        this = self.sql(expression, "this")
+2166        this = f" {this}" if this else ""
+2167        return f"USE{kind}{this}"
+2168
+2169    def binary(self, expression: exp.Binary, op: str) -> str:
+2170        op = self.maybe_comment(op, comments=expression.comments)
+2171        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
+2172
+2173    def function_fallback_sql(self, expression: exp.Func) -> str:
+2174        args = []
+2175        for arg_value in expression.args.values():
+2176            if isinstance(arg_value, list):
+2177                for value in arg_value:
+2178                    args.append(value)
+2179            else:
+2180                args.append(arg_value)
+2181
+2182        return self.func(expression.sql_name(), *args)
 2183
-2184        return self.func(expression.sql_name(), *args)
-2185
-2186    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
-2187        return f"{self.normalize_func(name)}({self.format_args(*args)})"
-2188
-2189    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
-2190        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
-2191        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
-2192            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
-2193        return ", ".join(arg_sqls)
-2194
-2195    def text_width(self, args: t.Iterable) -> int:
-2196        return sum(len(arg) for arg in args)
-2197
-2198    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
-2199        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
-2200
-2201    def expressions(
-2202        self,
-2203        expression: t.Optional[exp.Expression] = None,
-2204        key: t.Optional[str] = None,
-2205        sqls: t.Optional[t.List[str]] = None,
-2206        flat: bool = False,
-2207        indent: bool = True,
-2208        sep: str = ", ",
-2209        prefix: str = "",
-2210    ) -> str:
-2211        expressions = expression.args.get(key or "expressions") if expression else sqls
-2212
-2213        if not expressions:
-2214            return ""
-2215
-2216        if flat:
-2217            return sep.join(self.sql(e) for e in expressions)
+2184    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
+2185        return f"{self.normalize_func(name)}({self.format_args(*args)})"
+2186
+2187    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
+2188        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
+2189        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
+2190            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
+2191        return ", ".join(arg_sqls)
+2192
+2193    def text_width(self, args: t.Iterable) -> int:
+2194        return sum(len(arg) for arg in args)
+2195
+2196    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
+2197        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
+2198
+2199    def expressions(
+2200        self,
+2201        expression: t.Optional[exp.Expression] = None,
+2202        key: t.Optional[str] = None,
+2203        sqls: t.Optional[t.List[str]] = None,
+2204        flat: bool = False,
+2205        indent: bool = True,
+2206        sep: str = ", ",
+2207        prefix: str = "",
+2208    ) -> str:
+2209        expressions = expression.args.get(key or "expressions") if expression else sqls
+2210
+2211        if not expressions:
+2212            return ""
+2213
+2214        if flat:
+2215            return sep.join(self.sql(e) for e in expressions)
+2216
+2217        num_sqls = len(expressions)
 2218
-2219        num_sqls = len(expressions)
-2220
-2221        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
-2222        pad = " " * self.pad
-2223        stripped_sep = sep.strip()
-2224
-2225        result_sqls = []
-2226        for i, e in enumerate(expressions):
-2227            sql = self.sql(e, comment=False)
-2228            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
-2229
-2230            if self.pretty:
-2231                if self._leading_comma:
-2232                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
-2233                else:
-2234                    result_sqls.append(
-2235                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
-2236                    )
-2237            else:
-2238                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
-2239
-2240        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
-2241        return self.indent(result_sql, skip_first=False) if indent else result_sql
-2242
-2243    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
-2244        flat = flat or isinstance(expression.parent, exp.Properties)
-2245        expressions_sql = self.expressions(expression, flat=flat)
-2246        if flat:
-2247            return f"{op} {expressions_sql}"
-2248        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
-2249
-2250    def naked_property(self, expression: exp.Property) -> str:
-2251        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
-2252        if not property_name:
-2253            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
-2254        return f"{property_name} {self.sql(expression, 'this')}"
-2255
-2256    def set_operation(self, expression: exp.Expression, op: str) -> str:
-2257        this = self.sql(expression, "this")
-2258        op = self.seg(op)
-2259        return self.query_modifiers(
-2260            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
-2261        )
-2262
-2263    def tag_sql(self, expression: exp.Tag) -> str:
-2264        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
-2265
-2266    def token_sql(self, token_type: TokenType) -> str:
-2267        return self.TOKEN_MAPPING.get(token_type, token_type.name)
-2268
-2269    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
-2270        this = self.sql(expression, "this")
-2271        expressions = self.no_identify(self.expressions, expression)
-2272        expressions = (
-2273            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
-2274        )
-2275        return f"{this}{expressions}"
-2276
-2277    def joinhint_sql(self, expression: exp.JoinHint) -> str:
-2278        this = self.sql(expression, "this")
-2279        expressions = self.expressions(expression, flat=True)
-2280        return f"{this}({expressions})"
-2281
-2282    def kwarg_sql(self, expression: exp.Kwarg) -> str:
-2283        return self.binary(expression, "=>")
-2284
-2285    def when_sql(self, expression: exp.When) -> str:
-2286        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
-2287        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
-2288        condition = self.sql(expression, "condition")
-2289        condition = f" AND {condition}" if condition else ""
-2290
-2291        then_expression = expression.args.get("then")
-2292        if isinstance(then_expression, exp.Insert):
-2293            then = f"INSERT {self.sql(then_expression, 'this')}"
-2294            if "expression" in then_expression.args:
-2295                then += f" VALUES {self.sql(then_expression, 'expression')}"
-2296        elif isinstance(then_expression, exp.Update):
-2297            if isinstance(then_expression.args.get("expressions"), exp.Star):
-2298                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
-2299            else:
-2300                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
-2301        else:
-2302            then = self.sql(then_expression)
-2303        return f"WHEN {matched}{source}{condition} THEN {then}"
-2304
-2305    def merge_sql(self, expression: exp.Merge) -> str:
-2306        this = self.sql(expression, "this")
-2307        using = f"USING {self.sql(expression, 'using')}"
-2308        on = f"ON {self.sql(expression, 'on')}"
-2309        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
-2310
-2311    def tochar_sql(self, expression: exp.ToChar) -> str:
-2312        if expression.args.get("format"):
-2313            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2219        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
+2220        pad = " " * self.pad
+2221        stripped_sep = sep.strip()
+2222
+2223        result_sqls = []
+2224        for i, e in enumerate(expressions):
+2225            sql = self.sql(e, comment=False)
+2226            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
+2227
+2228            if self.pretty:
+2229                if self._leading_comma:
+2230                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
+2231                else:
+2232                    result_sqls.append(
+2233                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
+2234                    )
+2235            else:
+2236                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
+2237
+2238        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
+2239        return self.indent(result_sql, skip_first=False) if indent else result_sql
+2240
+2241    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
+2242        flat = flat or isinstance(expression.parent, exp.Properties)
+2243        expressions_sql = self.expressions(expression, flat=flat)
+2244        if flat:
+2245            return f"{op} {expressions_sql}"
+2246        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
+2247
+2248    def naked_property(self, expression: exp.Property) -> str:
+2249        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
+2250        if not property_name:
+2251            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
+2252        return f"{property_name} {self.sql(expression, 'this')}"
+2253
+2254    def set_operation(self, expression: exp.Expression, op: str) -> str:
+2255        this = self.sql(expression, "this")
+2256        op = self.seg(op)
+2257        return self.query_modifiers(
+2258            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
+2259        )
+2260
+2261    def tag_sql(self, expression: exp.Tag) -> str:
+2262        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
+2263
+2264    def token_sql(self, token_type: TokenType) -> str:
+2265        return self.TOKEN_MAPPING.get(token_type, token_type.name)
+2266
+2267    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
+2268        this = self.sql(expression, "this")
+2269        expressions = self.no_identify(self.expressions, expression)
+2270        expressions = (
+2271            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
+2272        )
+2273        return f"{this}{expressions}"
+2274
+2275    def joinhint_sql(self, expression: exp.JoinHint) -> str:
+2276        this = self.sql(expression, "this")
+2277        expressions = self.expressions(expression, flat=True)
+2278        return f"{this}({expressions})"
+2279
+2280    def kwarg_sql(self, expression: exp.Kwarg) -> str:
+2281        return self.binary(expression, "=>")
+2282
+2283    def when_sql(self, expression: exp.When) -> str:
+2284        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
+2285        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
+2286        condition = self.sql(expression, "condition")
+2287        condition = f" AND {condition}" if condition else ""
+2288
+2289        then_expression = expression.args.get("then")
+2290        if isinstance(then_expression, exp.Insert):
+2291            then = f"INSERT {self.sql(then_expression, 'this')}"
+2292            if "expression" in then_expression.args:
+2293                then += f" VALUES {self.sql(then_expression, 'expression')}"
+2294        elif isinstance(then_expression, exp.Update):
+2295            if isinstance(then_expression.args.get("expressions"), exp.Star):
+2296                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
+2297            else:
+2298                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
+2299        else:
+2300            then = self.sql(then_expression)
+2301        return f"WHEN {matched}{source}{condition} THEN {then}"
+2302
+2303    def merge_sql(self, expression: exp.Merge) -> str:
+2304        this = self.sql(expression, "this")
+2305        using = f"USING {self.sql(expression, 'using')}"
+2306        on = f"ON {self.sql(expression, 'on')}"
+2307        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
+2308
+2309    def tochar_sql(self, expression: exp.ToChar) -> str:
+2310        if expression.args.get("format"):
+2311            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2312
+2313        return self.sql(exp.cast(expression.this, "text"))
 2314
-2315        return self.sql(exp.cast(expression.this, "text"))
-2316
-2317
-2318def cached_generator(
-2319    cache: t.Optional[t.Dict[int, str]] = None
-2320) -> t.Callable[[exp.Expression], str]:
-2321    """Returns a cached generator."""
-2322    cache = {} if cache is None else cache
-2323    generator = Generator(normalize=True, identify="safe")
-2324    return lambda e: generator.generate(e, cache)
+2315
+2316def cached_generator(
+2317    cache: t.Optional[t.Dict[int, str]] = None
+2318) -> t.Callable[[exp.Expression], str]:
+2319    """Returns a cached generator."""
+2320    cache = {} if cache is None else cache
+2321    generator = Generator(normalize=True, identify="safe")
+2322    return lambda e: generator.generate(e, cache)
 
    
 
 
@@ -3113,2288 +3114,2286 @@ 
    
   32        hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
   33        byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
   34        byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
-  35        identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
-  36        normalize (bool): if set to True all identifiers will lower cased
-  37        string_escape (str): specifies a string escape character. Default: '.
-  38        identifier_escape (str): specifies an identifier escape character. Default: ".
-  39        pad (int): determines padding in a formatted string. Default: 2.
-  40        indent (int): determines the size of indentation in a formatted string. Default: 4.
-  41        unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
-  42        normalize_functions (str): normalize function names, "upper", "lower", or None
-  43            Default: "upper"
-  44        alias_post_tablesample (bool): if the table alias comes after tablesample
-  45            Default: False
-  46        unsupported_level (ErrorLevel): determines the generator's behavior when it encounters
-  47            unsupported expressions. Default ErrorLevel.WARN.
-  48        null_ordering (str): Indicates the default null ordering method to use if not explicitly set.
-  49            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
-  50            Default: "nulls_are_small"
-  51        max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.
-  52            This is only relevant if unsupported_level is ErrorLevel.RAISE.
-  53            Default: 3
-  54        leading_comma (bool): if the the comma is leading or trailing in select statements
-  55            Default: False
-  56        max_text_width: The max number of characters in a segment before creating new lines in pretty mode.
-  57            The default is on the smaller end because the length only represents a segment and not the true
-  58            line length.
-  59            Default: 80
-  60        comments: Whether or not to preserve comments in the output SQL code.
-  61            Default: True
-  62    """
-  63
-  64    TRANSFORMS = {
-  65        exp.DateAdd: lambda self, e: self.func(
-  66            "DATE_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
-  67        ),
-  68        exp.TsOrDsAdd: lambda self, e: self.func(
-  69            "TS_OR_DS_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
-  70        ),
-  71        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
-  72        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
-  73        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
-  74        exp.ExternalProperty: lambda self, e: "EXTERNAL",
-  75        exp.LanguageProperty: lambda self, e: self.naked_property(e),
-  76        exp.LocationProperty: lambda self, e: self.naked_property(e),
-  77        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
-  78        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
-  79        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
-  80        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
-  81        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
-  82        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
-  83        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
-  84        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
-  85        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
-  86        exp.TransientProperty: lambda self, e: "TRANSIENT",
-  87        exp.StabilityProperty: lambda self, e: e.name,
-  88        exp.VolatileProperty: lambda self, e: "VOLATILE",
-  89        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
-  90        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
-  91        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
-  92        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
-  93        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
-  94        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
-  95        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
-  96        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
-  97        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
-  98        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
-  99        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
- 100        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
- 101        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
- 102        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
- 103    }
- 104
- 105    # Whether or not null ordering is supported in order by
- 106    NULL_ORDERING_SUPPORTED = True
- 107
- 108    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
- 109    LOCKING_READS_SUPPORTED = False
- 110
- 111    # Always do union distinct or union all
- 112    EXPLICIT_UNION = False
- 113
- 114    # Wrap derived values in parens, usually standard but spark doesn't support it
- 115    WRAP_DERIVED_VALUES = True
- 116
- 117    # Whether or not create function uses an AS before the RETURN
- 118    CREATE_FUNCTION_RETURN_AS = True
- 119
- 120    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
- 121    MATCHED_BY_SOURCE = True
- 122
- 123    # Whether or not the INTERVAL expression works only with values like '1 day'
- 124    SINGLE_STRING_INTERVAL = False
- 125
- 126    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
- 127    INTERVAL_ALLOWS_PLURAL_FORM = True
- 128
- 129    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
- 130    TABLESAMPLE_WITH_METHOD = True
- 131
- 132    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
- 133    TABLESAMPLE_SIZE_IS_PERCENT = False
- 134
- 135    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
- 136    LIMIT_FETCH = "ALL"
- 137
- 138    # Whether a table is allowed to be renamed with a db
- 139    RENAME_TABLE_WITH_DB = True
- 140
- 141    # The separator for grouping sets and rollups
- 142    GROUPINGS_SEP = ","
- 143
- 144    TYPE_MAPPING = {
- 145        exp.DataType.Type.NCHAR: "CHAR",
- 146        exp.DataType.Type.NVARCHAR: "VARCHAR",
- 147        exp.DataType.Type.MEDIUMTEXT: "TEXT",
- 148        exp.DataType.Type.LONGTEXT: "TEXT",
- 149        exp.DataType.Type.MEDIUMBLOB: "BLOB",
- 150        exp.DataType.Type.LONGBLOB: "BLOB",
- 151        exp.DataType.Type.INET: "INET",
- 152    }
- 153
- 154    STAR_MAPPING = {
- 155        "except": "EXCEPT",
- 156        "replace": "REPLACE",
+  35        raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
+  36        raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
+  37        identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
+  38        normalize (bool): if set to True all identifiers will lower cased
+  39        string_escape (str): specifies a string escape character. Default: '.
+  40        identifier_escape (str): specifies an identifier escape character. Default: ".
+  41        pad (int): determines padding in a formatted string. Default: 2.
+  42        indent (int): determines the size of indentation in a formatted string. Default: 4.
+  43        unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
+  44        normalize_functions (str): normalize function names, "upper", "lower", or None
+  45            Default: "upper"
+  46        alias_post_tablesample (bool): if the table alias comes after tablesample
+  47            Default: False
+  48        unsupported_level (ErrorLevel): determines the generator's behavior when it encounters
+  49            unsupported expressions. Default ErrorLevel.WARN.
+  50        null_ordering (str): Indicates the default null ordering method to use if not explicitly set.
+  51            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
+  52            Default: "nulls_are_small"
+  53        max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.
+  54            This is only relevant if unsupported_level is ErrorLevel.RAISE.
+  55            Default: 3
+  56        leading_comma (bool): if the the comma is leading or trailing in select statements
+  57            Default: False
+  58        max_text_width: The max number of characters in a segment before creating new lines in pretty mode.
+  59            The default is on the smaller end because the length only represents a segment and not the true
+  60            line length.
+  61            Default: 80
+  62        comments: Whether or not to preserve comments in the output SQL code.
+  63            Default: True
+  64    """
+  65
+  66    TRANSFORMS = {
+  67        exp.DateAdd: lambda self, e: self.func(
+  68            "DATE_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
+  69        ),
+  70        exp.TsOrDsAdd: lambda self, e: self.func(
+  71            "TS_OR_DS_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
+  72        ),
+  73        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
+  74        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
+  75        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
+  76        exp.ExternalProperty: lambda self, e: "EXTERNAL",
+  77        exp.LanguageProperty: lambda self, e: self.naked_property(e),
+  78        exp.LocationProperty: lambda self, e: self.naked_property(e),
+  79        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
+  80        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
+  81        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
+  82        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
+  83        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
+  84        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
+  85        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
+  86        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
+  87        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
+  88        exp.TransientProperty: lambda self, e: "TRANSIENT",
+  89        exp.StabilityProperty: lambda self, e: e.name,
+  90        exp.VolatileProperty: lambda self, e: "VOLATILE",
+  91        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
+  92        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
+  93        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
+  94        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
+  95        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
+  96        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
+  97        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
+  98        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
+  99        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
+ 100        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
+ 101        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
+ 102        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
+ 103        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
+ 104        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
+ 105    }
+ 106
+ 107    # Whether or not null ordering is supported in order by
+ 108    NULL_ORDERING_SUPPORTED = True
+ 109
+ 110    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
+ 111    LOCKING_READS_SUPPORTED = False
+ 112
+ 113    # Always do union distinct or union all
+ 114    EXPLICIT_UNION = False
+ 115
+ 116    # Wrap derived values in parens, usually standard but spark doesn't support it
+ 117    WRAP_DERIVED_VALUES = True
+ 118
+ 119    # Whether or not create function uses an AS before the RETURN
+ 120    CREATE_FUNCTION_RETURN_AS = True
+ 121
+ 122    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
+ 123    MATCHED_BY_SOURCE = True
+ 124
+ 125    # Whether or not the INTERVAL expression works only with values like '1 day'
+ 126    SINGLE_STRING_INTERVAL = False
+ 127
+ 128    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
+ 129    INTERVAL_ALLOWS_PLURAL_FORM = True
+ 130
+ 131    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
+ 132    TABLESAMPLE_WITH_METHOD = True
+ 133
+ 134    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
+ 135    TABLESAMPLE_SIZE_IS_PERCENT = False
+ 136
+ 137    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
+ 138    LIMIT_FETCH = "ALL"
+ 139
+ 140    # Whether a table is allowed to be renamed with a db
+ 141    RENAME_TABLE_WITH_DB = True
+ 142
+ 143    # The separator for grouping sets and rollups
+ 144    GROUPINGS_SEP = ","
+ 145
+ 146    # The string used for creating index on a table
+ 147    INDEX_ON = "ON"
+ 148
+ 149    TYPE_MAPPING = {
+ 150        exp.DataType.Type.NCHAR: "CHAR",
+ 151        exp.DataType.Type.NVARCHAR: "VARCHAR",
+ 152        exp.DataType.Type.MEDIUMTEXT: "TEXT",
+ 153        exp.DataType.Type.LONGTEXT: "TEXT",
+ 154        exp.DataType.Type.MEDIUMBLOB: "BLOB",
+ 155        exp.DataType.Type.LONGBLOB: "BLOB",
+ 156        exp.DataType.Type.INET: "INET",
  157    }
  158
- 159    TIME_PART_SINGULARS = {
- 160        "microseconds": "microsecond",
- 161        "seconds": "second",
- 162        "minutes": "minute",
- 163        "hours": "hour",
- 164        "days": "day",
- 165        "weeks": "week",
- 166        "months": "month",
- 167        "quarters": "quarter",
- 168        "years": "year",
- 169    }
- 170
- 171    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
- 172
- 173    STRUCT_DELIMITER = ("<", ">")
- 174
- 175    PARAMETER_TOKEN = "@"
- 176
- 177    PROPERTIES_LOCATION = {
- 178        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
- 179        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
- 180        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
- 181        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
- 182        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
- 183        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
- 184        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
- 185        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
- 186        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
- 187        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 188        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
- 189        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
- 190        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
- 191        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
- 192        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
- 193        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
- 194        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
- 195        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
- 196        exp.JournalProperty: exp.Properties.Location.POST_NAME,
- 197        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
- 198        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
- 199        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
- 200        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
- 201        exp.LogProperty: exp.Properties.Location.POST_NAME,
- 202        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
- 203        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
- 204        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
- 205        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
- 206        exp.Order: exp.Properties.Location.POST_SCHEMA,
- 207        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
- 208        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
- 209        exp.Property: exp.Properties.Location.POST_WITH,
- 210        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
- 211        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
- 212        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
- 213        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
- 214        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
- 215        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
- 216        exp.Set: exp.Properties.Location.POST_SCHEMA,
- 217        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
- 218        exp.SetProperty: exp.Properties.Location.POST_CREATE,
- 219        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 220        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
- 221        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
- 222        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
- 223        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
- 224        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
- 225        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
- 226        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
- 227        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
- 228    }
- 229
- 230    JOIN_HINTS = True
- 231    TABLE_HINTS = True
- 232
- 233    RESERVED_KEYWORDS: t.Set[str] = set()
- 234    WITH_SEPARATED_COMMENTS = (exp.Select, exp.From, exp.Where, exp.With)
- 235    UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Neg, exp.Paren)
- 236
- 237    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
- 238
- 239    __slots__ = (
- 240        "time_mapping",
- 241        "time_trie",
- 242        "pretty",
- 243        "quote_start",
- 244        "quote_end",
- 245        "identifier_start",
- 246        "identifier_end",
- 247        "bit_start",
- 248        "bit_end",
- 249        "hex_start",
- 250        "hex_end",
- 251        "byte_start",
- 252        "byte_end",
- 253        "identify",
- 254        "normalize",
- 255        "string_escape",
- 256        "identifier_escape",
- 257        "pad",
- 258        "index_offset",
- 259        "unnest_column_only",
- 260        "alias_post_tablesample",
- 261        "normalize_functions",
- 262        "unsupported_level",
- 263        "unsupported_messages",
- 264        "null_ordering",
- 265        "max_unsupported",
- 266        "_indent",
- 267        "_escaped_quote_end",
- 268        "_escaped_identifier_end",
- 269        "_leading_comma",
- 270        "_max_text_width",
- 271        "_comments",
- 272        "_cache",
- 273    )
- 274
- 275    def __init__(
- 276        self,
- 277        time_mapping=None,
- 278        time_trie=None,
- 279        pretty=None,
- 280        quote_start=None,
- 281        quote_end=None,
- 282        identifier_start=None,
- 283        identifier_end=None,
- 284        bit_start=None,
- 285        bit_end=None,
- 286        hex_start=None,
- 287        hex_end=None,
- 288        byte_start=None,
- 289        byte_end=None,
- 290        identify=False,
- 291        normalize=False,
- 292        string_escape=None,
- 293        identifier_escape=None,
- 294        pad=2,
- 295        indent=2,
- 296        index_offset=0,
- 297        unnest_column_only=False,
- 298        alias_post_tablesample=False,
- 299        normalize_functions="upper",
- 300        unsupported_level=ErrorLevel.WARN,
- 301        null_ordering=None,
- 302        max_unsupported=3,
- 303        leading_comma=False,
- 304        max_text_width=80,
- 305        comments=True,
- 306    ):
- 307        import sqlglot
- 308
- 309        self.time_mapping = time_mapping or {}
- 310        self.time_trie = time_trie
- 311        self.pretty = pretty if pretty is not None else sqlglot.pretty
- 312        self.quote_start = quote_start or "'"
- 313        self.quote_end = quote_end or "'"
- 314        self.identifier_start = identifier_start or '"'
- 315        self.identifier_end = identifier_end or '"'
- 316        self.bit_start = bit_start
- 317        self.bit_end = bit_end
- 318        self.hex_start = hex_start
- 319        self.hex_end = hex_end
- 320        self.byte_start = byte_start
- 321        self.byte_end = byte_end
- 322        self.identify = identify
- 323        self.normalize = normalize
- 324        self.string_escape = string_escape or "'"
- 325        self.identifier_escape = identifier_escape or '"'
- 326        self.pad = pad
- 327        self.index_offset = index_offset
- 328        self.unnest_column_only = unnest_column_only
- 329        self.alias_post_tablesample = alias_post_tablesample
- 330        self.normalize_functions = normalize_functions
- 331        self.unsupported_level = unsupported_level
- 332        self.unsupported_messages = []
- 333        self.max_unsupported = max_unsupported
- 334        self.null_ordering = null_ordering
- 335        self._indent = indent
- 336        self._escaped_quote_end = self.string_escape + self.quote_end
- 337        self._escaped_identifier_end = self.identifier_escape + self.identifier_end
- 338        self._leading_comma = leading_comma
- 339        self._max_text_width = max_text_width
- 340        self._comments = comments
- 341        self._cache = None
- 342
- 343    def generate(
- 344        self,
- 345        expression: t.Optional[exp.Expression],
- 346        cache: t.Optional[t.Dict[int, str]] = None,
- 347    ) -> str:
- 348        """
- 349        Generates a SQL string by interpreting the given syntax tree.
- 350
- 351        Args
- 352            expression: the syntax tree.
- 353            cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
- 354
- 355        Returns
- 356            the SQL string.
- 357        """
- 358        if cache is not None:
- 359            self._cache = cache
- 360        self.unsupported_messages = []
- 361        sql = self.sql(expression).strip()
- 362        self._cache = None
- 363
- 364        if self.unsupported_level == ErrorLevel.IGNORE:
- 365            return sql
- 366
- 367        if self.unsupported_level == ErrorLevel.WARN:
- 368            for msg in self.unsupported_messages:
- 369                logger.warning(msg)
- 370        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
- 371            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
- 372
- 373        if self.pretty:
- 374            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
- 375        return sql
- 376
- 377    def unsupported(self, message: str) -> None:
- 378        if self.unsupported_level == ErrorLevel.IMMEDIATE:
- 379            raise UnsupportedError(message)
- 380        self.unsupported_messages.append(message)
- 381
- 382    def sep(self, sep: str = " ") -> str:
- 383        return f"{sep.strip()}\n" if self.pretty else sep
- 384
- 385    def seg(self, sql: str, sep: str = " ") -> str:
- 386        return f"{self.sep(sep)}{sql}"
+ 159    STAR_MAPPING = {
+ 160        "except": "EXCEPT",
+ 161        "replace": "REPLACE",
+ 162    }
+ 163
+ 164    TIME_PART_SINGULARS = {
+ 165        "microseconds": "microsecond",
+ 166        "seconds": "second",
+ 167        "minutes": "minute",
+ 168        "hours": "hour",
+ 169        "days": "day",
+ 170        "weeks": "week",
+ 171        "months": "month",
+ 172        "quarters": "quarter",
+ 173        "years": "year",
+ 174    }
+ 175
+ 176    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
+ 177
+ 178    STRUCT_DELIMITER = ("<", ">")
+ 179
+ 180    PARAMETER_TOKEN = "@"
+ 181
+ 182    PROPERTIES_LOCATION = {
+ 183        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
+ 184        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
+ 185        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
+ 186        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
+ 187        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
+ 188        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
+ 189        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
+ 190        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
+ 191        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
+ 192        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 193        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
+ 194        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
+ 195        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
+ 196        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
+ 197        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
+ 198        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
+ 199        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
+ 200        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
+ 201        exp.JournalProperty: exp.Properties.Location.POST_NAME,
+ 202        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
+ 203        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
+ 204        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
+ 205        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
+ 206        exp.LogProperty: exp.Properties.Location.POST_NAME,
+ 207        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
+ 208        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
+ 209        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
+ 210        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
+ 211        exp.Order: exp.Properties.Location.POST_SCHEMA,
+ 212        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
+ 213        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
+ 214        exp.Property: exp.Properties.Location.POST_WITH,
+ 215        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
+ 216        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
+ 217        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
+ 218        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
+ 219        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
+ 220        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
+ 221        exp.Set: exp.Properties.Location.POST_SCHEMA,
+ 222        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
+ 223        exp.SetProperty: exp.Properties.Location.POST_CREATE,
+ 224        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 225        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
+ 226        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
+ 227        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
+ 228        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
+ 229        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
+ 230        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
+ 231        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
+ 232        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
+ 233    }
+ 234
+ 235    JOIN_HINTS = True
+ 236    TABLE_HINTS = True
+ 237
+ 238    RESERVED_KEYWORDS: t.Set[str] = set()
+ 239    WITH_SEPARATED_COMMENTS = (exp.Select, exp.From, exp.Where, exp.With)
+ 240    UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Neg, exp.Paren)
+ 241
+ 242    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
+ 243
+ 244    __slots__ = (
+ 245        "time_mapping",
+ 246        "time_trie",
+ 247        "pretty",
+ 248        "quote_start",
+ 249        "quote_end",
+ 250        "identifier_start",
+ 251        "identifier_end",
+ 252        "bit_start",
+ 253        "bit_end",
+ 254        "hex_start",
+ 255        "hex_end",
+ 256        "byte_start",
+ 257        "byte_end",
+ 258        "raw_start",
+ 259        "raw_end",
+ 260        "identify",
+ 261        "normalize",
+ 262        "string_escape",
+ 263        "identifier_escape",
+ 264        "pad",
+ 265        "index_offset",
+ 266        "unnest_column_only",
+ 267        "alias_post_tablesample",
+ 268        "normalize_functions",
+ 269        "unsupported_level",
+ 270        "unsupported_messages",
+ 271        "null_ordering",
+ 272        "max_unsupported",
+ 273        "_indent",
+ 274        "_escaped_quote_end",
+ 275        "_escaped_identifier_end",
+ 276        "_leading_comma",
+ 277        "_max_text_width",
+ 278        "_comments",
+ 279        "_cache",
+ 280    )
+ 281
+ 282    def __init__(
+ 283        self,
+ 284        time_mapping=None,
+ 285        time_trie=None,
+ 286        pretty=None,
+ 287        quote_start=None,
+ 288        quote_end=None,
+ 289        identifier_start=None,
+ 290        identifier_end=None,
+ 291        bit_start=None,
+ 292        bit_end=None,
+ 293        hex_start=None,
+ 294        hex_end=None,
+ 295        byte_start=None,
+ 296        byte_end=None,
+ 297        raw_start=None,
+ 298        raw_end=None,
+ 299        identify=False,
+ 300        normalize=False,
+ 301        string_escape=None,
+ 302        identifier_escape=None,
+ 303        pad=2,
+ 304        indent=2,
+ 305        index_offset=0,
+ 306        unnest_column_only=False,
+ 307        alias_post_tablesample=False,
+ 308        normalize_functions="upper",
+ 309        unsupported_level=ErrorLevel.WARN,
+ 310        null_ordering=None,
+ 311        max_unsupported=3,
+ 312        leading_comma=False,
+ 313        max_text_width=80,
+ 314        comments=True,
+ 315    ):
+ 316        import sqlglot
+ 317
+ 318        self.time_mapping = time_mapping or {}
+ 319        self.time_trie = time_trie
+ 320        self.pretty = pretty if pretty is not None else sqlglot.pretty
+ 321        self.quote_start = quote_start or "'"
+ 322        self.quote_end = quote_end or "'"
+ 323        self.identifier_start = identifier_start or '"'
+ 324        self.identifier_end = identifier_end or '"'
+ 325        self.bit_start = bit_start
+ 326        self.bit_end = bit_end
+ 327        self.hex_start = hex_start
+ 328        self.hex_end = hex_end
+ 329        self.byte_start = byte_start
+ 330        self.byte_end = byte_end
+ 331        self.raw_start = raw_start
+ 332        self.raw_end = raw_end
+ 333        self.identify = identify
+ 334        self.normalize = normalize
+ 335        self.string_escape = string_escape or "'"
+ 336        self.identifier_escape = identifier_escape or '"'
+ 337        self.pad = pad
+ 338        self.index_offset = index_offset
+ 339        self.unnest_column_only = unnest_column_only
+ 340        self.alias_post_tablesample = alias_post_tablesample
+ 341        self.normalize_functions = normalize_functions
+ 342        self.unsupported_level = unsupported_level
+ 343        self.unsupported_messages = []
+ 344        self.max_unsupported = max_unsupported
+ 345        self.null_ordering = null_ordering
+ 346        self._indent = indent
+ 347        self._escaped_quote_end = self.string_escape + self.quote_end
+ 348        self._escaped_identifier_end = self.identifier_escape + self.identifier_end
+ 349        self._leading_comma = leading_comma
+ 350        self._max_text_width = max_text_width
+ 351        self._comments = comments
+ 352        self._cache = None
+ 353
+ 354    def generate(
+ 355        self,
+ 356        expression: t.Optional[exp.Expression],
+ 357        cache: t.Optional[t.Dict[int, str]] = None,
+ 358    ) -> str:
+ 359        """
+ 360        Generates a SQL string by interpreting the given syntax tree.
+ 361
+ 362        Args
+ 363            expression: the syntax tree.
+ 364            cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
+ 365
+ 366        Returns
+ 367            the SQL string.
+ 368        """
+ 369        if cache is not None:
+ 370            self._cache = cache
+ 371        self.unsupported_messages = []
+ 372        sql = self.sql(expression).strip()
+ 373        self._cache = None
+ 374
+ 375        if self.unsupported_level == ErrorLevel.IGNORE:
+ 376            return sql
+ 377
+ 378        if self.unsupported_level == ErrorLevel.WARN:
+ 379            for msg in self.unsupported_messages:
+ 380                logger.warning(msg)
+ 381        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
+ 382            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
+ 383
+ 384        if self.pretty:
+ 385            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
+ 386        return sql
  387
- 388    def pad_comment(self, comment: str) -> str:
- 389        comment = " " + comment if comment[0].strip() else comment
- 390        comment = comment + " " if comment[-1].strip() else comment
- 391        return comment
+ 388    def unsupported(self, message: str) -> None:
+ 389        if self.unsupported_level == ErrorLevel.IMMEDIATE:
+ 390            raise UnsupportedError(message)
+ 391        self.unsupported_messages.append(message)
  392
- 393    def maybe_comment(
- 394        self,
- 395        sql: str,
- 396        expression: t.Optional[exp.Expression] = None,
- 397        comments: t.Optional[t.List[str]] = None,
- 398    ) -> str:
- 399        comments = ((expression and expression.comments) if comments is None else comments) if self._comments else None  # type: ignore
- 400
- 401        if not comments or isinstance(expression, exp.Binary):
- 402            return sql
+ 393    def sep(self, sep: str = " ") -> str:
+ 394        return f"{sep.strip()}\n" if self.pretty else sep
+ 395
+ 396    def seg(self, sql: str, sep: str = " ") -> str:
+ 397        return f"{self.sep(sep)}{sql}"
+ 398
+ 399    def pad_comment(self, comment: str) -> str:
+ 400        comment = " " + comment if comment[0].strip() else comment
+ 401        comment = comment + " " if comment[-1].strip() else comment
+ 402        return comment
  403
- 404        sep = "\n" if self.pretty else " "
- 405        comments_sql = sep.join(
- 406            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
- 407        )
- 408
- 409        if not comments_sql:
- 410            return sql
+ 404    def maybe_comment(
+ 405        self,
+ 406        sql: str,
+ 407        expression: t.Optional[exp.Expression] = None,
+ 408        comments: t.Optional[t.List[str]] = None,
+ 409    ) -> str:
+ 410        comments = ((expression and expression.comments) if comments is None else comments) if self._comments else None  # type: ignore
  411
- 412        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
- 413            return (
- 414                f"{self.sep()}{comments_sql}{sql}"
- 415                if sql[0].isspace()
- 416                else f"{comments_sql}{self.sep()}{sql}"
- 417            )
- 418
- 419        return f"{sql} {comments_sql}"
- 420
- 421    def wrap(self, expression: exp.Expression | str) -> str:
- 422        this_sql = self.indent(
- 423            self.sql(expression)
- 424            if isinstance(expression, (exp.Select, exp.Union))
- 425            else self.sql(expression, "this"),
- 426            level=1,
- 427            pad=0,
- 428        )
- 429        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
- 430
- 431    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
- 432        original = self.identify
- 433        self.identify = False
- 434        result = func(*args, **kwargs)
- 435        self.identify = original
- 436        return result
- 437
- 438    def normalize_func(self, name: str) -> str:
- 439        if self.normalize_functions == "upper":
- 440            return name.upper()
- 441        if self.normalize_functions == "lower":
- 442            return name.lower()
- 443        return name
- 444
- 445    def indent(
- 446        self,
- 447        sql: str,
- 448        level: int = 0,
- 449        pad: t.Optional[int] = None,
- 450        skip_first: bool = False,
- 451        skip_last: bool = False,
- 452    ) -> str:
- 453        if not self.pretty:
- 454            return sql
+ 412        if not comments or isinstance(expression, exp.Binary):
+ 413            return sql
+ 414
+ 415        sep = "\n" if self.pretty else " "
+ 416        comments_sql = sep.join(
+ 417            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
+ 418        )
+ 419
+ 420        if not comments_sql:
+ 421            return sql
+ 422
+ 423        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
+ 424            return (
+ 425                f"{self.sep()}{comments_sql}{sql}"
+ 426                if sql[0].isspace()
+ 427                else f"{comments_sql}{self.sep()}{sql}"
+ 428            )
+ 429
+ 430        return f"{sql} {comments_sql}"
+ 431
+ 432    def wrap(self, expression: exp.Expression | str) -> str:
+ 433        this_sql = self.indent(
+ 434            self.sql(expression)
+ 435            if isinstance(expression, (exp.Select, exp.Union))
+ 436            else self.sql(expression, "this"),
+ 437            level=1,
+ 438            pad=0,
+ 439        )
+ 440        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
+ 441
+ 442    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
+ 443        original = self.identify
+ 444        self.identify = False
+ 445        result = func(*args, **kwargs)
+ 446        self.identify = original
+ 447        return result
+ 448
+ 449    def normalize_func(self, name: str) -> str:
+ 450        if self.normalize_functions == "upper":
+ 451            return name.upper()
+ 452        if self.normalize_functions == "lower":
+ 453            return name.lower()
+ 454        return name
  455
- 456        pad = self.pad if pad is None else pad
- 457        lines = sql.split("\n")
- 458
- 459        return "\n".join(
- 460            line
- 461            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
- 462            else f"{' ' * (level * self._indent + pad)}{line}"
- 463            for i, line in enumerate(lines)
- 464        )
- 465
- 466    def sql(
- 467        self,
- 468        expression: t.Optional[str | exp.Expression],
- 469        key: t.Optional[str] = None,
- 470        comment: bool = True,
- 471    ) -> str:
- 472        if not expression:
- 473            return ""
- 474
- 475        if isinstance(expression, str):
- 476            return expression
- 477
- 478        if key:
- 479            return self.sql(expression.args.get(key))
- 480
- 481        if self._cache is not None:
- 482            expression_id = hash(expression)
- 483
- 484            if expression_id in self._cache:
- 485                return self._cache[expression_id]
- 486
- 487        transform = self.TRANSFORMS.get(expression.__class__)
+ 456    def indent(
+ 457        self,
+ 458        sql: str,
+ 459        level: int = 0,
+ 460        pad: t.Optional[int] = None,
+ 461        skip_first: bool = False,
+ 462        skip_last: bool = False,
+ 463    ) -> str:
+ 464        if not self.pretty:
+ 465            return sql
+ 466
+ 467        pad = self.pad if pad is None else pad
+ 468        lines = sql.split("\n")
+ 469
+ 470        return "\n".join(
+ 471            line
+ 472            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
+ 473            else f"{' ' * (level * self._indent + pad)}{line}"
+ 474            for i, line in enumerate(lines)
+ 475        )
+ 476
+ 477    def sql(
+ 478        self,
+ 479        expression: t.Optional[str | exp.Expression],
+ 480        key: t.Optional[str] = None,
+ 481        comment: bool = True,
+ 482    ) -> str:
+ 483        if not expression:
+ 484            return ""
+ 485
+ 486        if isinstance(expression, str):
+ 487            return expression
  488
- 489        if callable(transform):
- 490            sql = transform(self, expression)
- 491        elif transform:
- 492            sql = transform
- 493        elif isinstance(expression, exp.Expression):
- 494            exp_handler_name = f"{expression.key}_sql"
- 495
- 496            if hasattr(self, exp_handler_name):
- 497                sql = getattr(self, exp_handler_name)(expression)
- 498            elif isinstance(expression, exp.Func):
- 499                sql = self.function_fallback_sql(expression)
- 500            elif isinstance(expression, exp.Property):
- 501                sql = self.property_sql(expression)
- 502            else:
- 503                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
- 504        else:
- 505            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
+ 489        if key:
+ 490            return self.sql(expression.args.get(key))
+ 491
+ 492        if self._cache is not None:
+ 493            expression_id = hash(expression)
+ 494
+ 495            if expression_id in self._cache:
+ 496                return self._cache[expression_id]
+ 497
+ 498        transform = self.TRANSFORMS.get(expression.__class__)
+ 499
+ 500        if callable(transform):
+ 501            sql = transform(self, expression)
+ 502        elif transform:
+ 503            sql = transform
+ 504        elif isinstance(expression, exp.Expression):
+ 505            exp_handler_name = f"{expression.key}_sql"
  506
- 507        sql = self.maybe_comment(sql, expression) if self._comments and comment else sql
- 508
- 509        if self._cache is not None:
- 510            self._cache[expression_id] = sql
- 511        return sql
- 512
- 513    def uncache_sql(self, expression: exp.Uncache) -> str:
- 514        table = self.sql(expression, "this")
- 515        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
- 516        return f"UNCACHE TABLE{exists_sql} {table}"
+ 507            if hasattr(self, exp_handler_name):
+ 508                sql = getattr(self, exp_handler_name)(expression)
+ 509            elif isinstance(expression, exp.Func):
+ 510                sql = self.function_fallback_sql(expression)
+ 511            elif isinstance(expression, exp.Property):
+ 512                sql = self.property_sql(expression)
+ 513            else:
+ 514                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
+ 515        else:
+ 516            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
  517
- 518    def cache_sql(self, expression: exp.Cache) -> str:
- 519        lazy = " LAZY" if expression.args.get("lazy") else ""
- 520        table = self.sql(expression, "this")
- 521        options = expression.args.get("options")
- 522        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
- 523        sql = self.sql(expression, "expression")
- 524        sql = f" AS{self.sep()}{sql}" if sql else ""
- 525        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
- 526        return self.prepend_ctes(expression, sql)
- 527
- 528    def characterset_sql(self, expression: exp.CharacterSet) -> str:
- 529        if isinstance(expression.parent, exp.Cast):
- 530            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
- 531        default = "DEFAULT " if expression.args.get("default") else ""
- 532        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
- 533
- 534    def column_sql(self, expression: exp.Column) -> str:
- 535        return ".".join(
- 536            self.sql(part)
- 537            for part in (
- 538                expression.args.get("catalog"),
- 539                expression.args.get("db"),
- 540                expression.args.get("table"),
- 541                expression.args.get("this"),
- 542            )
- 543            if part
- 544        )
- 545
- 546    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
- 547        this = self.sql(expression, "this")
- 548        this = f" {this}" if this else ""
- 549        position = self.sql(expression, "position")
- 550        return f"{position}{this}"
- 551
- 552    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
- 553        column = self.sql(expression, "this")
- 554        kind = self.sql(expression, "kind")
- 555        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
- 556        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
- 557        kind = f"{sep}{kind}" if kind else ""
- 558        constraints = f" {constraints}" if constraints else ""
- 559        position = self.sql(expression, "position")
- 560        position = f" {position}" if position else ""
- 561
- 562        return f"{exists}{column}{kind}{constraints}{position}"
- 563
- 564    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
- 565        this = self.sql(expression, "this")
- 566        kind_sql = self.sql(expression, "kind").strip()
- 567        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
- 568
- 569    def autoincrementcolumnconstraint_sql(self, _) -> str:
- 570        return self.token_sql(TokenType.AUTO_INCREMENT)
- 571
- 572    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
- 573        if isinstance(expression.this, list):
- 574            this = self.wrap(self.expressions(expression, key="this", flat=True))
- 575        else:
- 576            this = self.sql(expression, "this")
- 577
- 578        return f"COMPRESS {this}"
+ 518        sql = self.maybe_comment(sql, expression) if self._comments and comment else sql
+ 519
+ 520        if self._cache is not None:
+ 521            self._cache[expression_id] = sql
+ 522        return sql
+ 523
+ 524    def uncache_sql(self, expression: exp.Uncache) -> str:
+ 525        table = self.sql(expression, "this")
+ 526        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
+ 527        return f"UNCACHE TABLE{exists_sql} {table}"
+ 528
+ 529    def cache_sql(self, expression: exp.Cache) -> str:
+ 530        lazy = " LAZY" if expression.args.get("lazy") else ""
+ 531        table = self.sql(expression, "this")
+ 532        options = expression.args.get("options")
+ 533        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
+ 534        sql = self.sql(expression, "expression")
+ 535        sql = f" AS{self.sep()}{sql}" if sql else ""
+ 536        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
+ 537        return self.prepend_ctes(expression, sql)
+ 538
+ 539    def characterset_sql(self, expression: exp.CharacterSet) -> str:
+ 540        if isinstance(expression.parent, exp.Cast):
+ 541            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
+ 542        default = "DEFAULT " if expression.args.get("default") else ""
+ 543        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
+ 544
+ 545    def column_sql(self, expression: exp.Column) -> str:
+ 546        return ".".join(
+ 547            self.sql(part)
+ 548            for part in (
+ 549                expression.args.get("catalog"),
+ 550                expression.args.get("db"),
+ 551                expression.args.get("table"),
+ 552                expression.args.get("this"),
+ 553            )
+ 554            if part
+ 555        )
+ 556
+ 557    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
+ 558        this = self.sql(expression, "this")
+ 559        this = f" {this}" if this else ""
+ 560        position = self.sql(expression, "position")
+ 561        return f"{position}{this}"
+ 562
+ 563    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
+ 564        column = self.sql(expression, "this")
+ 565        kind = self.sql(expression, "kind")
+ 566        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
+ 567        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
+ 568        kind = f"{sep}{kind}" if kind else ""
+ 569        constraints = f" {constraints}" if constraints else ""
+ 570        position = self.sql(expression, "position")
+ 571        position = f" {position}" if position else ""
+ 572
+ 573        return f"{exists}{column}{kind}{constraints}{position}"
+ 574
+ 575    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
+ 576        this = self.sql(expression, "this")
+ 577        kind_sql = self.sql(expression, "kind").strip()
+ 578        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
  579
- 580    def generatedasidentitycolumnconstraint_sql(
- 581        self, expression: exp.GeneratedAsIdentityColumnConstraint
- 582    ) -> str:
- 583        this = ""
- 584        if expression.this is not None:
- 585            on_null = "ON NULL " if expression.args.get("on_null") else ""
- 586            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
- 587
- 588        start = expression.args.get("start")
- 589        start = f"START WITH {start}" if start else ""
- 590        increment = expression.args.get("increment")
- 591        increment = f" INCREMENT BY {increment}" if increment else ""
- 592        minvalue = expression.args.get("minvalue")
- 593        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
- 594        maxvalue = expression.args.get("maxvalue")
- 595        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
- 596        cycle = expression.args.get("cycle")
- 597        cycle_sql = ""
+ 580    def autoincrementcolumnconstraint_sql(self, _) -> str:
+ 581        return self.token_sql(TokenType.AUTO_INCREMENT)
+ 582
+ 583    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
+ 584        if isinstance(expression.this, list):
+ 585            this = self.wrap(self.expressions(expression, key="this", flat=True))
+ 586        else:
+ 587            this = self.sql(expression, "this")
+ 588
+ 589        return f"COMPRESS {this}"
+ 590
+ 591    def generatedasidentitycolumnconstraint_sql(
+ 592        self, expression: exp.GeneratedAsIdentityColumnConstraint
+ 593    ) -> str:
+ 594        this = ""
+ 595        if expression.this is not None:
+ 596            on_null = "ON NULL " if expression.args.get("on_null") else ""
+ 597            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
  598
- 599        if cycle is not None:
- 600            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
- 601            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
- 602
- 603        sequence_opts = ""
- 604        if start or increment or cycle_sql:
- 605            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
- 606            sequence_opts = f" ({sequence_opts.strip()})"
- 607
- 608        expr = self.sql(expression, "expression")
- 609        expr = f"({expr})" if expr else "IDENTITY"
- 610
- 611        return f"GENERATED{this}AS {expr}{sequence_opts}"
- 612
- 613    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
- 614        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
- 615
- 616    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
- 617        desc = expression.args.get("desc")
- 618        if desc is not None:
- 619            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
- 620        return f"PRIMARY KEY"
+ 599        start = expression.args.get("start")
+ 600        start = f"START WITH {start}" if start else ""
+ 601        increment = expression.args.get("increment")
+ 602        increment = f" INCREMENT BY {increment}" if increment else ""
+ 603        minvalue = expression.args.get("minvalue")
+ 604        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
+ 605        maxvalue = expression.args.get("maxvalue")
+ 606        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
+ 607        cycle = expression.args.get("cycle")
+ 608        cycle_sql = ""
+ 609
+ 610        if cycle is not None:
+ 611            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
+ 612            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
+ 613
+ 614        sequence_opts = ""
+ 615        if start or increment or cycle_sql:
+ 616            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
+ 617            sequence_opts = f" ({sequence_opts.strip()})"
+ 618
+ 619        expr = self.sql(expression, "expression")
+ 620        expr = f"({expr})" if expr else "IDENTITY"
  621
- 622    def uniquecolumnconstraint_sql(self, _) -> str:
- 623        return "UNIQUE"
- 624
- 625    def create_sql(self, expression: exp.Create) -> str:
- 626        kind = self.sql(expression, "kind").upper()
- 627        properties = expression.args.get("properties")
- 628        properties_exp = expression.copy()
- 629        properties_locs = self.locate_properties(properties) if properties else {}
- 630        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
- 631            exp.Properties.Location.POST_WITH
- 632        ):
- 633            properties_exp.set(
- 634                "properties",
- 635                exp.Properties(
- 636                    expressions=[
- 637                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
- 638                        *properties_locs[exp.Properties.Location.POST_WITH],
- 639                    ]
- 640                ),
- 641            )
- 642        if kind == "TABLE" and properties_locs.get(exp.Properties.Location.POST_NAME):
- 643            this_name = self.sql(expression.this, "this")
- 644            this_properties = self.properties(
- 645                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_NAME]),
- 646                wrapped=False,
- 647            )
- 648            this_schema = f"({self.expressions(expression.this)})"
- 649            this = f"{this_name}, {this_properties} {this_schema}"
- 650            properties_sql = ""
- 651        else:
- 652            this = self.sql(expression, "this")
- 653            properties_sql = self.sql(properties_exp, "properties")
- 654        begin = " BEGIN" if expression.args.get("begin") else ""
- 655        expression_sql = self.sql(expression, "expression")
- 656        if expression_sql:
- 657            expression_sql = f"{begin}{self.sep()}{expression_sql}"
- 658
- 659            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
- 660                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
- 661                    postalias_props_sql = self.properties(
- 662                        exp.Properties(
- 663                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
- 664                        ),
- 665                        wrapped=False,
- 666                    )
- 667                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
- 668                else:
- 669                    expression_sql = f" AS{expression_sql}"
- 670
- 671        postindex_props_sql = ""
- 672        if properties_locs.get(exp.Properties.Location.POST_INDEX):
- 673            postindex_props_sql = self.properties(
- 674                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
- 675                wrapped=False,
- 676                prefix=" ",
- 677            )
- 678
- 679        indexes = expression.args.get("indexes")
- 680        if indexes:
- 681            indexes_sql: t.List[str] = []
- 682            for index in indexes:
- 683                ind_unique = " UNIQUE" if index.args.get("unique") else ""
- 684                ind_primary = " PRIMARY" if index.args.get("primary") else ""
- 685                ind_amp = " AMP" if index.args.get("amp") else ""
- 686                ind_name = f" {index.name}" if index.name else ""
- 687                ind_columns = (
- 688                    f' ({self.expressions(index, key="columns", flat=True)})'
- 689                    if index.args.get("columns")
- 690                    else ""
- 691                )
- 692                ind_sql = f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}"
+ 622        return f"GENERATED{this}AS {expr}{sequence_opts}"
+ 623
+ 624    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
+ 625        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
+ 626
+ 627    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
+ 628        desc = expression.args.get("desc")
+ 629        if desc is not None:
+ 630            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
+ 631        return f"PRIMARY KEY"
+ 632
+ 633    def uniquecolumnconstraint_sql(self, _) -> str:
+ 634        return "UNIQUE"
+ 635
+ 636    def create_sql(self, expression: exp.Create) -> str:
+ 637        kind = self.sql(expression, "kind").upper()
+ 638        properties = expression.args.get("properties")
+ 639        properties_exp = expression.copy()
+ 640        properties_locs = self.locate_properties(properties) if properties else {}
+ 641        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
+ 642            exp.Properties.Location.POST_WITH
+ 643        ):
+ 644            properties_exp.set(
+ 645                "properties",
+ 646                exp.Properties(
+ 647                    expressions=[
+ 648                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
+ 649                        *properties_locs[exp.Properties.Location.POST_WITH],
+ 650                    ]
+ 651                ),
+ 652            )
+ 653        if kind == "TABLE" and properties_locs.get(exp.Properties.Location.POST_NAME):
+ 654            this_name = self.sql(expression.this, "this")
+ 655            this_properties = self.properties(
+ 656                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_NAME]),
+ 657                wrapped=False,
+ 658            )
+ 659            this_schema = f"({self.expressions(expression.this)})"
+ 660            this = f"{this_name}, {this_properties} {this_schema}"
+ 661            properties_sql = ""
+ 662        else:
+ 663            this = self.sql(expression, "this")
+ 664            properties_sql = self.sql(properties_exp, "properties")
+ 665        begin = " BEGIN" if expression.args.get("begin") else ""
+ 666        expression_sql = self.sql(expression, "expression")
+ 667        if expression_sql:
+ 668            expression_sql = f"{begin}{self.sep()}{expression_sql}"
+ 669
+ 670            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
+ 671                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
+ 672                    postalias_props_sql = self.properties(
+ 673                        exp.Properties(
+ 674                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
+ 675                        ),
+ 676                        wrapped=False,
+ 677                    )
+ 678                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
+ 679                else:
+ 680                    expression_sql = f" AS{expression_sql}"
+ 681
+ 682        postindex_props_sql = ""
+ 683        if properties_locs.get(exp.Properties.Location.POST_INDEX):
+ 684            postindex_props_sql = self.properties(
+ 685                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
+ 686                wrapped=False,
+ 687                prefix=" ",
+ 688            )
+ 689
+ 690        indexes = self.expressions(expression, "indexes", indent=False, sep=" ")
+ 691        indexes = f" {indexes}" if indexes else ""
+ 692        index_sql = indexes + postindex_props_sql
  693
- 694                if indexes_sql:
- 695                    indexes_sql.append(ind_sql)
- 696                else:
- 697                    indexes_sql.append(
- 698                        f"{ind_sql}{postindex_props_sql}"
- 699                        if index.args.get("primary")
- 700                        else f"{postindex_props_sql}{ind_sql}"
- 701                    )
- 702
- 703            index_sql = "".join(indexes_sql)
- 704        else:
- 705            index_sql = postindex_props_sql
- 706
- 707        replace = " OR REPLACE" if expression.args.get("replace") else ""
- 708        unique = " UNIQUE" if expression.args.get("unique") else ""
- 709
- 710        postcreate_props_sql = ""
- 711        if properties_locs.get(exp.Properties.Location.POST_CREATE):
- 712            postcreate_props_sql = self.properties(
- 713                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+ 694        replace = " OR REPLACE" if expression.args.get("replace") else ""
+ 695        unique = " UNIQUE" if expression.args.get("unique") else ""
+ 696
+ 697        postcreate_props_sql = ""
+ 698        if properties_locs.get(exp.Properties.Location.POST_CREATE):
+ 699            postcreate_props_sql = self.properties(
+ 700                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+ 701                sep=" ",
+ 702                prefix=" ",
+ 703                wrapped=False,
+ 704            )
+ 705
+ 706        modifiers = "".join((replace, unique, postcreate_props_sql))
+ 707
+ 708        postexpression_props_sql = ""
+ 709        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
+ 710            postexpression_props_sql = self.properties(
+ 711                exp.Properties(
+ 712                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
+ 713                ),
  714                sep=" ",
  715                prefix=" ",
  716                wrapped=False,
  717            )
  718
- 719        modifiers = "".join((replace, unique, postcreate_props_sql))
- 720
- 721        postexpression_props_sql = ""
- 722        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
- 723            postexpression_props_sql = self.properties(
- 724                exp.Properties(
- 725                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
- 726                ),
- 727                sep=" ",
- 728                prefix=" ",
- 729                wrapped=False,
- 730            )
- 731
- 732        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
- 733        no_schema_binding = (
- 734            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
- 735        )
- 736
- 737        clone = self.sql(expression, "clone")
- 738        clone = f" {clone}" if clone else ""
- 739
- 740        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
- 741        return self.prepend_ctes(expression, expression_sql)
- 742
- 743    def clone_sql(self, expression: exp.Clone) -> str:
- 744        this = self.sql(expression, "this")
- 745        when = self.sql(expression, "when")
- 746
- 747        if when:
- 748            kind = self.sql(expression, "kind")
- 749            expr = self.sql(expression, "expression")
- 750            return f"CLONE {this} {when} ({kind} => {expr})"
- 751
- 752        return f"CLONE {this}"
+ 719        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
+ 720        no_schema_binding = (
+ 721            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
+ 722        )
+ 723
+ 724        clone = self.sql(expression, "clone")
+ 725        clone = f" {clone}" if clone else ""
+ 726
+ 727        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
+ 728        return self.prepend_ctes(expression, expression_sql)
+ 729
+ 730    def clone_sql(self, expression: exp.Clone) -> str:
+ 731        this = self.sql(expression, "this")
+ 732        when = self.sql(expression, "when")
+ 733
+ 734        if when:
+ 735            kind = self.sql(expression, "kind")
+ 736            expr = self.sql(expression, "expression")
+ 737            return f"CLONE {this} {when} ({kind} => {expr})"
+ 738
+ 739        return f"CLONE {this}"
+ 740
+ 741    def describe_sql(self, expression: exp.Describe) -> str:
+ 742        return f"DESCRIBE {self.sql(expression, 'this')}"
+ 743
+ 744    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
+ 745        with_ = self.sql(expression, "with")
+ 746        if with_:
+ 747            sql = f"{with_}{self.sep()}{sql}"
+ 748        return sql
+ 749
+ 750    def with_sql(self, expression: exp.With) -> str:
+ 751        sql = self.expressions(expression, flat=True)
+ 752        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
  753
- 754    def describe_sql(self, expression: exp.Describe) -> str:
- 755        return f"DESCRIBE {self.sql(expression, 'this')}"
- 756
- 757    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
- 758        with_ = self.sql(expression, "with")
- 759        if with_:
- 760            sql = f"{with_}{self.sep()}{sql}"
- 761        return sql
- 762
- 763    def with_sql(self, expression: exp.With) -> str:
- 764        sql = self.expressions(expression, flat=True)
- 765        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
- 766
- 767        return f"WITH {recursive}{sql}"
- 768
- 769    def cte_sql(self, expression: exp.CTE) -> str:
- 770        alias = self.sql(expression, "alias")
- 771        return f"{alias} AS {self.wrap(expression)}"
- 772
- 773    def tablealias_sql(self, expression: exp.TableAlias) -> str:
- 774        alias = self.sql(expression, "this")
- 775        columns = self.expressions(expression, key="columns", flat=True)
- 776        columns = f"({columns})" if columns else ""
- 777        return f"{alias}{columns}"
- 778
- 779    def bitstring_sql(self, expression: exp.BitString) -> str:
- 780        this = self.sql(expression, "this")
- 781        if self.bit_start:
- 782            return f"{self.bit_start}{this}{self.bit_end}"
- 783        return f"{int(this, 2)}"
- 784
- 785    def hexstring_sql(self, expression: exp.HexString) -> str:
- 786        this = self.sql(expression, "this")
- 787        if self.hex_start:
- 788            return f"{self.hex_start}{this}{self.hex_end}"
- 789        return f"{int(this, 16)}"
- 790
- 791    def bytestring_sql(self, expression: exp.ByteString) -> str:
- 792        this = self.sql(expression, "this")
- 793        if self.byte_start:
- 794            return f"{self.byte_start}{this}{self.byte_end}"
- 795        return this
- 796
- 797    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
- 798        this = self.sql(expression, "this")
- 799        specifier = self.sql(expression, "expression")
- 800        specifier = f" {specifier}" if specifier else ""
- 801        return f"{this}{specifier}"
- 802
- 803    def datatype_sql(self, expression: exp.DataType) -> str:
- 804        type_value = expression.this
- 805        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
- 806        nested = ""
- 807        interior = self.expressions(expression, flat=True)
- 808        values = ""
- 809        if interior:
- 810            if expression.args.get("nested"):
- 811                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
- 812                if expression.args.get("values") is not None:
- 813                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
- 814                    values = f"{delimiters[0]}{self.expressions(expression, key='values')}{delimiters[1]}"
- 815            else:
- 816                nested = f"({interior})"
+ 754        return f"WITH {recursive}{sql}"
+ 755
+ 756    def cte_sql(self, expression: exp.CTE) -> str:
+ 757        alias = self.sql(expression, "alias")
+ 758        return f"{alias} AS {self.wrap(expression)}"
+ 759
+ 760    def tablealias_sql(self, expression: exp.TableAlias) -> str:
+ 761        alias = self.sql(expression, "this")
+ 762        columns = self.expressions(expression, key="columns", flat=True)
+ 763        columns = f"({columns})" if columns else ""
+ 764        return f"{alias}{columns}"
+ 765
+ 766    def bitstring_sql(self, expression: exp.BitString) -> str:
+ 767        this = self.sql(expression, "this")
+ 768        if self.bit_start:
+ 769            return f"{self.bit_start}{this}{self.bit_end}"
+ 770        return f"{int(this, 2)}"
+ 771
+ 772    def hexstring_sql(self, expression: exp.HexString) -> str:
+ 773        this = self.sql(expression, "this")
+ 774        if self.hex_start:
+ 775            return f"{self.hex_start}{this}{self.hex_end}"
+ 776        return f"{int(this, 16)}"
+ 777
+ 778    def bytestring_sql(self, expression: exp.ByteString) -> str:
+ 779        this = self.sql(expression, "this")
+ 780        if self.byte_start:
+ 781            return f"{self.byte_start}{this}{self.byte_end}"
+ 782        return this
+ 783
+ 784    def rawstring_sql(self, expression: exp.RawString) -> str:
+ 785        if self.raw_start:
+ 786            return f"{self.raw_start}{expression.name}{self.raw_end}"
+ 787        return self.sql(exp.Literal.string(expression.name.replace("\\", "\\\\")))
+ 788
+ 789    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
+ 790        this = self.sql(expression, "this")
+ 791        specifier = self.sql(expression, "expression")
+ 792        specifier = f" {specifier}" if specifier else ""
+ 793        return f"{this}{specifier}"
+ 794
+ 795    def datatype_sql(self, expression: exp.DataType) -> str:
+ 796        type_value = expression.this
+ 797        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
+ 798        nested = ""
+ 799        interior = self.expressions(expression, flat=True)
+ 800        values = ""
+ 801        if interior:
+ 802            if expression.args.get("nested"):
+ 803                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
+ 804                if expression.args.get("values") is not None:
+ 805                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
+ 806                    values = f"{delimiters[0]}{self.expressions(expression, key='values')}{delimiters[1]}"
+ 807            else:
+ 808                nested = f"({interior})"
+ 809
+ 810        return f"{type_sql}{nested}{values}"
+ 811
+ 812    def directory_sql(self, expression: exp.Directory) -> str:
+ 813        local = "LOCAL " if expression.args.get("local") else ""
+ 814        row_format = self.sql(expression, "row_format")
+ 815        row_format = f" {row_format}" if row_format else ""
+ 816        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
  817
- 818        return f"{type_sql}{nested}{values}"
- 819
- 820    def directory_sql(self, expression: exp.Directory) -> str:
- 821        local = "LOCAL " if expression.args.get("local") else ""
- 822        row_format = self.sql(expression, "row_format")
- 823        row_format = f" {row_format}" if row_format else ""
- 824        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
- 825
- 826    def delete_sql(self, expression: exp.Delete) -> str:
- 827        this = self.sql(expression, "this")
- 828        this = f" FROM {this}" if this else ""
- 829        using_sql = (
- 830            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
- 831            if expression.args.get("using")
- 832            else ""
- 833        )
- 834        where_sql = self.sql(expression, "where")
- 835        returning = self.sql(expression, "returning")
- 836        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
- 837        return self.prepend_ctes(expression, sql)
- 838
- 839    def drop_sql(self, expression: exp.Drop) -> str:
- 840        this = self.sql(expression, "this")
- 841        kind = expression.args["kind"]
- 842        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
- 843        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
- 844        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
- 845        cascade = " CASCADE" if expression.args.get("cascade") else ""
- 846        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
- 847        purge = " PURGE" if expression.args.get("purge") else ""
- 848        return (
- 849            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
- 850        )
- 851
- 852    def except_sql(self, expression: exp.Except) -> str:
- 853        return self.prepend_ctes(
- 854            expression,
- 855            self.set_operation(expression, self.except_op(expression)),
- 856        )
- 857
- 858    def except_op(self, expression: exp.Except) -> str:
- 859        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
- 860
- 861    def fetch_sql(self, expression: exp.Fetch) -> str:
- 862        direction = expression.args.get("direction")
- 863        direction = f" {direction.upper()}" if direction else ""
- 864        count = expression.args.get("count")
- 865        count = f" {count}" if count else ""
- 866        if expression.args.get("percent"):
- 867            count = f"{count} PERCENT"
- 868        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
- 869        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
- 870
- 871    def filter_sql(self, expression: exp.Filter) -> str:
- 872        this = self.sql(expression, "this")
- 873        where = self.sql(expression, "expression")[1:]  # where has a leading space
- 874        return f"{this} FILTER({where})"
- 875
- 876    def hint_sql(self, expression: exp.Hint) -> str:
- 877        if self.sql(expression, "this"):
- 878            self.unsupported("Hints are not supported")
- 879        return ""
- 880
- 881    def index_sql(self, expression: exp.Index) -> str:
- 882        this = self.sql(expression, "this")
- 883        table = self.sql(expression, "table")
- 884        columns = self.sql(expression, "columns")
- 885        return f"{this} ON {table} {columns}"
- 886
- 887    def identifier_sql(self, expression: exp.Identifier) -> str:
- 888        text = expression.name
- 889        lower = text.lower()
- 890        text = lower if self.normalize and not expression.quoted else text
- 891        text = text.replace(self.identifier_end, self._escaped_identifier_end)
- 892        if (
- 893            expression.quoted
- 894            or should_identify(text, self.identify)
- 895            or lower in self.RESERVED_KEYWORDS
- 896        ):
- 897            text = f"{self.identifier_start}{text}{self.identifier_end}"
- 898        return text
- 899
- 900    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
- 901        input_format = self.sql(expression, "input_format")
- 902        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
- 903        output_format = self.sql(expression, "output_format")
- 904        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
- 905        return self.sep().join((input_format, output_format))
- 906
- 907    def national_sql(self, expression: exp.National) -> str:
- 908        return f"N{self.sql(expression, 'this')}"
- 909
- 910    def partition_sql(self, expression: exp.Partition) -> str:
- 911        return f"PARTITION({self.expressions(expression)})"
- 912
- 913    def properties_sql(self, expression: exp.Properties) -> str:
- 914        root_properties = []
- 915        with_properties = []
- 916
- 917        for p in expression.expressions:
- 918            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 919            if p_loc == exp.Properties.Location.POST_WITH:
- 920                with_properties.append(p)
- 921            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 922                root_properties.append(p)
- 923
- 924        return self.root_properties(
- 925            exp.Properties(expressions=root_properties)
- 926        ) + self.with_properties(exp.Properties(expressions=with_properties))
- 927
- 928    def root_properties(self, properties: exp.Properties) -> str:
- 929        if properties.expressions:
- 930            return self.sep() + self.expressions(properties, indent=False, sep=" ")
- 931        return ""
- 932
- 933    def properties(
- 934        self,
- 935        properties: exp.Properties,
- 936        prefix: str = "",
- 937        sep: str = ", ",
- 938        suffix: str = "",
- 939        wrapped: bool = True,
- 940    ) -> str:
- 941        if properties.expressions:
- 942            expressions = self.expressions(properties, sep=sep, indent=False)
- 943            expressions = self.wrap(expressions) if wrapped else expressions
- 944            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
- 945        return ""
- 946
- 947    def with_properties(self, properties: exp.Properties) -> str:
- 948        return self.properties(properties, prefix=self.seg("WITH"))
- 949
- 950    def locate_properties(
- 951        self, properties: exp.Properties
- 952    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
- 953        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
- 954            key: [] for key in exp.Properties.Location
- 955        }
- 956
- 957        for p in properties.expressions:
- 958            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 959            if p_loc == exp.Properties.Location.POST_NAME:
- 960                properties_locs[exp.Properties.Location.POST_NAME].append(p)
- 961            elif p_loc == exp.Properties.Location.POST_INDEX:
- 962                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
- 963            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 964                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
- 965            elif p_loc == exp.Properties.Location.POST_WITH:
- 966                properties_locs[exp.Properties.Location.POST_WITH].append(p)
- 967            elif p_loc == exp.Properties.Location.POST_CREATE:
- 968                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
- 969            elif p_loc == exp.Properties.Location.POST_ALIAS:
- 970                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
- 971            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
- 972                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
- 973            elif p_loc == exp.Properties.Location.UNSUPPORTED:
- 974                self.unsupported(f"Unsupported property {p.key}")
+ 818    def delete_sql(self, expression: exp.Delete) -> str:
+ 819        this = self.sql(expression, "this")
+ 820        this = f" FROM {this}" if this else ""
+ 821        using_sql = (
+ 822            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
+ 823            if expression.args.get("using")
+ 824            else ""
+ 825        )
+ 826        where_sql = self.sql(expression, "where")
+ 827        returning = self.sql(expression, "returning")
+ 828        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
+ 829        return self.prepend_ctes(expression, sql)
+ 830
+ 831    def drop_sql(self, expression: exp.Drop) -> str:
+ 832        this = self.sql(expression, "this")
+ 833        kind = expression.args["kind"]
+ 834        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+ 835        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+ 836        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
+ 837        cascade = " CASCADE" if expression.args.get("cascade") else ""
+ 838        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
+ 839        purge = " PURGE" if expression.args.get("purge") else ""
+ 840        return (
+ 841            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
+ 842        )
+ 843
+ 844    def except_sql(self, expression: exp.Except) -> str:
+ 845        return self.prepend_ctes(
+ 846            expression,
+ 847            self.set_operation(expression, self.except_op(expression)),
+ 848        )
+ 849
+ 850    def except_op(self, expression: exp.Except) -> str:
+ 851        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+ 852
+ 853    def fetch_sql(self, expression: exp.Fetch) -> str:
+ 854        direction = expression.args.get("direction")
+ 855        direction = f" {direction.upper()}" if direction else ""
+ 856        count = expression.args.get("count")
+ 857        count = f" {count}" if count else ""
+ 858        if expression.args.get("percent"):
+ 859            count = f"{count} PERCENT"
+ 860        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
+ 861        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
+ 862
+ 863    def filter_sql(self, expression: exp.Filter) -> str:
+ 864        this = self.sql(expression, "this")
+ 865        where = self.sql(expression, "expression")[1:]  # where has a leading space
+ 866        return f"{this} FILTER({where})"
+ 867
+ 868    def hint_sql(self, expression: exp.Hint) -> str:
+ 869        if self.sql(expression, "this"):
+ 870            self.unsupported("Hints are not supported")
+ 871        return ""
+ 872
+ 873    def index_sql(self, expression: exp.Index) -> str:
+ 874        unique = "UNIQUE " if expression.args.get("unique") else ""
+ 875        primary = "PRIMARY " if expression.args.get("primary") else ""
+ 876        amp = "AMP " if expression.args.get("amp") else ""
+ 877        name = f"{expression.name} " if expression.name else ""
+ 878        table = self.sql(expression, "table")
+ 879        table = f"{self.INDEX_ON} {table} " if table else ""
+ 880        index = "INDEX " if not table else ""
+ 881        columns = self.expressions(expression, key="columns", flat=True)
+ 882        return f"{unique}{primary}{amp}{index}{name}{table}({columns})"
+ 883
+ 884    def identifier_sql(self, expression: exp.Identifier) -> str:
+ 885        text = expression.name
+ 886        lower = text.lower()
+ 887        text = lower if self.normalize and not expression.quoted else text
+ 888        text = text.replace(self.identifier_end, self._escaped_identifier_end)
+ 889        if (
+ 890            expression.quoted
+ 891            or should_identify(text, self.identify)
+ 892            or lower in self.RESERVED_KEYWORDS
+ 893        ):
+ 894            text = f"{self.identifier_start}{text}{self.identifier_end}"
+ 895        return text
+ 896
+ 897    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
+ 898        input_format = self.sql(expression, "input_format")
+ 899        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
+ 900        output_format = self.sql(expression, "output_format")
+ 901        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
+ 902        return self.sep().join((input_format, output_format))
+ 903
+ 904    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
+ 905        string = self.sql(exp.Literal.string(expression.name))
+ 906        return f"{prefix}{string}"
+ 907
+ 908    def partition_sql(self, expression: exp.Partition) -> str:
+ 909        return f"PARTITION({self.expressions(expression)})"
+ 910
+ 911    def properties_sql(self, expression: exp.Properties) -> str:
+ 912        root_properties = []
+ 913        with_properties = []
+ 914
+ 915        for p in expression.expressions:
+ 916            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 917            if p_loc == exp.Properties.Location.POST_WITH:
+ 918                with_properties.append(p)
+ 919            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 920                root_properties.append(p)
+ 921
+ 922        return self.root_properties(
+ 923            exp.Properties(expressions=root_properties)
+ 924        ) + self.with_properties(exp.Properties(expressions=with_properties))
+ 925
+ 926    def root_properties(self, properties: exp.Properties) -> str:
+ 927        if properties.expressions:
+ 928            return self.sep() + self.expressions(properties, indent=False, sep=" ")
+ 929        return ""
+ 930
+ 931    def properties(
+ 932        self,
+ 933        properties: exp.Properties,
+ 934        prefix: str = "",
+ 935        sep: str = ", ",
+ 936        suffix: str = "",
+ 937        wrapped: bool = True,
+ 938    ) -> str:
+ 939        if properties.expressions:
+ 940            expressions = self.expressions(properties, sep=sep, indent=False)
+ 941            expressions = self.wrap(expressions) if wrapped else expressions
+ 942            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
+ 943        return ""
+ 944
+ 945    def with_properties(self, properties: exp.Properties) -> str:
+ 946        return self.properties(properties, prefix=self.seg("WITH"))
+ 947
+ 948    def locate_properties(
+ 949        self, properties: exp.Properties
+ 950    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
+ 951        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
+ 952            key: [] for key in exp.Properties.Location
+ 953        }
+ 954
+ 955        for p in properties.expressions:
+ 956            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 957            if p_loc == exp.Properties.Location.POST_NAME:
+ 958                properties_locs[exp.Properties.Location.POST_NAME].append(p)
+ 959            elif p_loc == exp.Properties.Location.POST_INDEX:
+ 960                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
+ 961            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 962                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
+ 963            elif p_loc == exp.Properties.Location.POST_WITH:
+ 964                properties_locs[exp.Properties.Location.POST_WITH].append(p)
+ 965            elif p_loc == exp.Properties.Location.POST_CREATE:
+ 966                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
+ 967            elif p_loc == exp.Properties.Location.POST_ALIAS:
+ 968                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
+ 969            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
+ 970                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
+ 971            elif p_loc == exp.Properties.Location.UNSUPPORTED:
+ 972                self.unsupported(f"Unsupported property {p.key}")
+ 973
+ 974        return properties_locs
  975
- 976        return properties_locs
- 977
- 978    def property_sql(self, expression: exp.Property) -> str:
- 979        property_cls = expression.__class__
- 980        if property_cls == exp.Property:
- 981            return f"{expression.name}={self.sql(expression, 'value')}"
- 982
- 983        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
- 984        if not property_name:
- 985            self.unsupported(f"Unsupported property {expression.key}")
+ 976    def property_sql(self, expression: exp.Property) -> str:
+ 977        property_cls = expression.__class__
+ 978        if property_cls == exp.Property:
+ 979            return f"{expression.name}={self.sql(expression, 'value')}"
+ 980
+ 981        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
+ 982        if not property_name:
+ 983            self.unsupported(f"Unsupported property {expression.key}")
+ 984
+ 985        return f"{property_name}={self.sql(expression, 'this')}"
  986
- 987        return f"{property_name}={self.sql(expression, 'this')}"
- 988
- 989    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
- 990        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
- 991        options = f" {options}" if options else ""
- 992        return f"LIKE {self.sql(expression, 'this')}{options}"
- 993
- 994    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
- 995        no = "NO " if expression.args.get("no") else ""
- 996        protection = " PROTECTION" if expression.args.get("protection") else ""
- 997        return f"{no}FALLBACK{protection}"
- 998
- 999    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
-1000        no = "NO " if expression.args.get("no") else ""
-1001        local = expression.args.get("local")
-1002        local = f"{local} " if local else ""
-1003        dual = "DUAL " if expression.args.get("dual") else ""
-1004        before = "BEFORE " if expression.args.get("before") else ""
-1005        after = "AFTER " if expression.args.get("after") else ""
-1006        return f"{no}{local}{dual}{before}{after}JOURNAL"
-1007
-1008    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
-1009        freespace = self.sql(expression, "this")
-1010        percent = " PERCENT" if expression.args.get("percent") else ""
-1011        return f"FREESPACE={freespace}{percent}"
-1012
-1013    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
-1014        if expression.args.get("default"):
-1015            property = "DEFAULT"
-1016        elif expression.args.get("on"):
-1017            property = "ON"
-1018        else:
-1019            property = "OFF"
-1020        return f"CHECKSUM={property}"
-1021
-1022    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
-1023        if expression.args.get("no"):
-1024            return "NO MERGEBLOCKRATIO"
-1025        if expression.args.get("default"):
-1026            return "DEFAULT MERGEBLOCKRATIO"
-1027
-1028        percent = " PERCENT" if expression.args.get("percent") else ""
-1029        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
-1030
-1031    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
-1032        default = expression.args.get("default")
-1033        minimum = expression.args.get("minimum")
-1034        maximum = expression.args.get("maximum")
-1035        if default or minimum or maximum:
-1036            if default:
-1037                prop = "DEFAULT"
-1038            elif minimum:
-1039                prop = "MINIMUM"
-1040            else:
-1041                prop = "MAXIMUM"
-1042            return f"{prop} DATABLOCKSIZE"
-1043        units = expression.args.get("units")
-1044        units = f" {units}" if units else ""
-1045        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
-1046
-1047    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
-1048        autotemp = expression.args.get("autotemp")
-1049        always = expression.args.get("always")
-1050        default = expression.args.get("default")
-1051        manual = expression.args.get("manual")
-1052        never = expression.args.get("never")
-1053
-1054        if autotemp is not None:
-1055            prop = f"AUTOTEMP({self.expressions(autotemp)})"
-1056        elif always:
-1057            prop = "ALWAYS"
-1058        elif default:
-1059            prop = "DEFAULT"
-1060        elif manual:
-1061            prop = "MANUAL"
-1062        elif never:
-1063            prop = "NEVER"
-1064        return f"BLOCKCOMPRESSION={prop}"
-1065
-1066    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
-1067        no = expression.args.get("no")
-1068        no = " NO" if no else ""
-1069        concurrent = expression.args.get("concurrent")
-1070        concurrent = " CONCURRENT" if concurrent else ""
-1071
-1072        for_ = ""
-1073        if expression.args.get("for_all"):
-1074            for_ = " FOR ALL"
-1075        elif expression.args.get("for_insert"):
-1076            for_ = " FOR INSERT"
-1077        elif expression.args.get("for_none"):
-1078            for_ = " FOR NONE"
-1079        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
-1080
-1081    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
-1082        kind = expression.args.get("kind")
-1083        this: str = f" {this}" if expression.this else ""
-1084        for_or_in = expression.args.get("for_or_in")
-1085        lock_type = expression.args.get("lock_type")
-1086        override = " OVERRIDE" if expression.args.get("override") else ""
-1087        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
-1088
-1089    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
-1090        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
-1091        statistics = expression.args.get("statistics")
-1092        statistics_sql = ""
-1093        if statistics is not None:
-1094            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
-1095        return f"{data_sql}{statistics_sql}"
-1096
-1097    def insert_sql(self, expression: exp.Insert) -> str:
-1098        overwrite = expression.args.get("overwrite")
-1099
-1100        if isinstance(expression.this, exp.Directory):
-1101            this = "OVERWRITE " if overwrite else "INTO "
-1102        else:
-1103            this = "OVERWRITE TABLE " if overwrite else "INTO "
-1104
-1105        alternative = expression.args.get("alternative")
-1106        alternative = f" OR {alternative} " if alternative else " "
-1107        this = f"{this}{self.sql(expression, 'this')}"
-1108
-1109        exists = " IF EXISTS " if expression.args.get("exists") else " "
-1110        partition_sql = (
-1111            self.sql(expression, "partition") if expression.args.get("partition") else ""
-1112        )
-1113        expression_sql = self.sql(expression, "expression")
-1114        conflict = self.sql(expression, "conflict")
-1115        returning = self.sql(expression, "returning")
-1116        sep = self.sep() if partition_sql else ""
-1117        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
-1118        return self.prepend_ctes(expression, sql)
-1119
-1120    def intersect_sql(self, expression: exp.Intersect) -> str:
-1121        return self.prepend_ctes(
-1122            expression,
-1123            self.set_operation(expression, self.intersect_op(expression)),
-1124        )
-1125
-1126    def intersect_op(self, expression: exp.Intersect) -> str:
-1127        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
-1128
-1129    def introducer_sql(self, expression: exp.Introducer) -> str:
-1130        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
-1131
-1132    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
-1133        return expression.name.upper()
-1134
-1135    def onconflict_sql(self, expression: exp.OnConflict) -> str:
-1136        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
-1137        constraint = self.sql(expression, "constraint")
-1138        if constraint:
-1139            constraint = f"ON CONSTRAINT {constraint}"
-1140        key = self.expressions(expression, key="key", flat=True)
-1141        do = "" if expression.args.get("duplicate") else " DO "
-1142        nothing = "NOTHING" if expression.args.get("nothing") else ""
-1143        expressions = self.expressions(expression, flat=True)
-1144        if expressions:
-1145            expressions = f"UPDATE SET {expressions}"
-1146        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
-1147
-1148    def returning_sql(self, expression: exp.Returning) -> str:
-1149        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
-1150
-1151    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
-1152        fields = expression.args.get("fields")
-1153        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
-1154        escaped = expression.args.get("escaped")
-1155        escaped = f" ESCAPED BY {escaped}" if escaped else ""
-1156        items = expression.args.get("collection_items")
-1157        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
-1158        keys = expression.args.get("map_keys")
-1159        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
-1160        lines = expression.args.get("lines")
-1161        lines = f" LINES TERMINATED BY {lines}" if lines else ""
-1162        null = expression.args.get("null")
-1163        null = f" NULL DEFINED AS {null}" if null else ""
-1164        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
-1165
-1166    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
-1167        table = ".".join(
-1168            part
-1169            for part in [
-1170                self.sql(expression, "catalog"),
-1171                self.sql(expression, "db"),
-1172                self.sql(expression, "this"),
-1173            ]
-1174            if part
-1175        )
-1176
-1177        alias = self.sql(expression, "alias")
-1178        alias = f"{sep}{alias}" if alias else ""
-1179        hints = self.expressions(expression, key="hints", flat=True)
-1180        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
-1181        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1182        pivots = f" {pivots}" if pivots else ""
-1183        joins = self.expressions(expression, key="joins", sep="")
-1184        laterals = self.expressions(expression, key="laterals", sep="")
-1185        system_time = expression.args.get("system_time")
-1186        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+ 987    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
+ 988        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
+ 989        options = f" {options}" if options else ""
+ 990        return f"LIKE {self.sql(expression, 'this')}{options}"
+ 991
+ 992    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
+ 993        no = "NO " if expression.args.get("no") else ""
+ 994        protection = " PROTECTION" if expression.args.get("protection") else ""
+ 995        return f"{no}FALLBACK{protection}"
+ 996
+ 997    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
+ 998        no = "NO " if expression.args.get("no") else ""
+ 999        local = expression.args.get("local")
+1000        local = f"{local} " if local else ""
+1001        dual = "DUAL " if expression.args.get("dual") else ""
+1002        before = "BEFORE " if expression.args.get("before") else ""
+1003        after = "AFTER " if expression.args.get("after") else ""
+1004        return f"{no}{local}{dual}{before}{after}JOURNAL"
+1005
+1006    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
+1007        freespace = self.sql(expression, "this")
+1008        percent = " PERCENT" if expression.args.get("percent") else ""
+1009        return f"FREESPACE={freespace}{percent}"
+1010
+1011    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
+1012        if expression.args.get("default"):
+1013            property = "DEFAULT"
+1014        elif expression.args.get("on"):
+1015            property = "ON"
+1016        else:
+1017            property = "OFF"
+1018        return f"CHECKSUM={property}"
+1019
+1020    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
+1021        if expression.args.get("no"):
+1022            return "NO MERGEBLOCKRATIO"
+1023        if expression.args.get("default"):
+1024            return "DEFAULT MERGEBLOCKRATIO"
+1025
+1026        percent = " PERCENT" if expression.args.get("percent") else ""
+1027        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+1028
+1029    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
+1030        default = expression.args.get("default")
+1031        minimum = expression.args.get("minimum")
+1032        maximum = expression.args.get("maximum")
+1033        if default or minimum or maximum:
+1034            if default:
+1035                prop = "DEFAULT"
+1036            elif minimum:
+1037                prop = "MINIMUM"
+1038            else:
+1039                prop = "MAXIMUM"
+1040            return f"{prop} DATABLOCKSIZE"
+1041        units = expression.args.get("units")
+1042        units = f" {units}" if units else ""
+1043        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
+1044
+1045    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
+1046        autotemp = expression.args.get("autotemp")
+1047        always = expression.args.get("always")
+1048        default = expression.args.get("default")
+1049        manual = expression.args.get("manual")
+1050        never = expression.args.get("never")
+1051
+1052        if autotemp is not None:
+1053            prop = f"AUTOTEMP({self.expressions(autotemp)})"
+1054        elif always:
+1055            prop = "ALWAYS"
+1056        elif default:
+1057            prop = "DEFAULT"
+1058        elif manual:
+1059            prop = "MANUAL"
+1060        elif never:
+1061            prop = "NEVER"
+1062        return f"BLOCKCOMPRESSION={prop}"
+1063
+1064    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
+1065        no = expression.args.get("no")
+1066        no = " NO" if no else ""
+1067        concurrent = expression.args.get("concurrent")
+1068        concurrent = " CONCURRENT" if concurrent else ""
+1069
+1070        for_ = ""
+1071        if expression.args.get("for_all"):
+1072            for_ = " FOR ALL"
+1073        elif expression.args.get("for_insert"):
+1074            for_ = " FOR INSERT"
+1075        elif expression.args.get("for_none"):
+1076            for_ = " FOR NONE"
+1077        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+1078
+1079    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
+1080        kind = expression.args.get("kind")
+1081        this: str = f" {this}" if expression.this else ""
+1082        for_or_in = expression.args.get("for_or_in")
+1083        lock_type = expression.args.get("lock_type")
+1084        override = " OVERRIDE" if expression.args.get("override") else ""
+1085        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
+1086
+1087    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
+1088        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
+1089        statistics = expression.args.get("statistics")
+1090        statistics_sql = ""
+1091        if statistics is not None:
+1092            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
+1093        return f"{data_sql}{statistics_sql}"
+1094
+1095    def insert_sql(self, expression: exp.Insert) -> str:
+1096        overwrite = expression.args.get("overwrite")
+1097
+1098        if isinstance(expression.this, exp.Directory):
+1099            this = "OVERWRITE " if overwrite else "INTO "
+1100        else:
+1101            this = "OVERWRITE TABLE " if overwrite else "INTO "
+1102
+1103        alternative = expression.args.get("alternative")
+1104        alternative = f" OR {alternative} " if alternative else " "
+1105        this = f"{this}{self.sql(expression, 'this')}"
+1106
+1107        exists = " IF EXISTS " if expression.args.get("exists") else " "
+1108        partition_sql = (
+1109            self.sql(expression, "partition") if expression.args.get("partition") else ""
+1110        )
+1111        expression_sql = self.sql(expression, "expression")
+1112        conflict = self.sql(expression, "conflict")
+1113        returning = self.sql(expression, "returning")
+1114        sep = self.sep() if partition_sql else ""
+1115        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
+1116        return self.prepend_ctes(expression, sql)
+1117
+1118    def intersect_sql(self, expression: exp.Intersect) -> str:
+1119        return self.prepend_ctes(
+1120            expression,
+1121            self.set_operation(expression, self.intersect_op(expression)),
+1122        )
+1123
+1124    def intersect_op(self, expression: exp.Intersect) -> str:
+1125        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+1126
+1127    def introducer_sql(self, expression: exp.Introducer) -> str:
+1128        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
+1129
+1130    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
+1131        return expression.name.upper()
+1132
+1133    def onconflict_sql(self, expression: exp.OnConflict) -> str:
+1134        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
+1135        constraint = self.sql(expression, "constraint")
+1136        if constraint:
+1137            constraint = f"ON CONSTRAINT {constraint}"
+1138        key = self.expressions(expression, key="key", flat=True)
+1139        do = "" if expression.args.get("duplicate") else " DO "
+1140        nothing = "NOTHING" if expression.args.get("nothing") else ""
+1141        expressions = self.expressions(expression, flat=True)
+1142        if expressions:
+1143            expressions = f"UPDATE SET {expressions}"
+1144        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
+1145
+1146    def returning_sql(self, expression: exp.Returning) -> str:
+1147        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
+1148
+1149    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
+1150        fields = expression.args.get("fields")
+1151        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
+1152        escaped = expression.args.get("escaped")
+1153        escaped = f" ESCAPED BY {escaped}" if escaped else ""
+1154        items = expression.args.get("collection_items")
+1155        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
+1156        keys = expression.args.get("map_keys")
+1157        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
+1158        lines = expression.args.get("lines")
+1159        lines = f" LINES TERMINATED BY {lines}" if lines else ""
+1160        null = expression.args.get("null")
+1161        null = f" NULL DEFINED AS {null}" if null else ""
+1162        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
+1163
+1164    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
+1165        table = ".".join(
+1166            part
+1167            for part in [
+1168                self.sql(expression, "catalog"),
+1169                self.sql(expression, "db"),
+1170                self.sql(expression, "this"),
+1171            ]
+1172            if part
+1173        )
+1174
+1175        alias = self.sql(expression, "alias")
+1176        alias = f"{sep}{alias}" if alias else ""
+1177        hints = self.expressions(expression, key="hints", flat=True)
+1178        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
+1179        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1180        pivots = f" {pivots}" if pivots else ""
+1181        joins = self.expressions(expression, key="joins", sep="")
+1182        laterals = self.expressions(expression, key="laterals", sep="")
+1183        system_time = expression.args.get("system_time")
+1184        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+1185
+1186        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
 1187
-1188        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
-1189
-1190    def tablesample_sql(
-1191        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
-1192    ) -> str:
-1193        if self.alias_post_tablesample and expression.this.alias:
-1194            table = expression.this.copy()
-1195            table.set("alias", None)
-1196            this = self.sql(table)
-1197            alias = f"{sep}{self.sql(expression.this, 'alias')}"
-1198        else:
-1199            this = self.sql(expression, "this")
-1200            alias = ""
-1201        method = self.sql(expression, "method")
-1202        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
-1203        numerator = self.sql(expression, "bucket_numerator")
-1204        denominator = self.sql(expression, "bucket_denominator")
-1205        field = self.sql(expression, "bucket_field")
-1206        field = f" ON {field}" if field else ""
-1207        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
-1208        percent = self.sql(expression, "percent")
-1209        percent = f"{percent} PERCENT" if percent else ""
-1210        rows = self.sql(expression, "rows")
-1211        rows = f"{rows} ROWS" if rows else ""
-1212        size = self.sql(expression, "size")
-1213        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
-1214            size = f"{size} PERCENT"
-1215        seed = self.sql(expression, "seed")
-1216        seed = f" {seed_prefix} ({seed})" if seed else ""
-1217        kind = expression.args.get("kind", "TABLESAMPLE")
-1218        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
-1219
-1220    def pivot_sql(self, expression: exp.Pivot) -> str:
-1221        alias = self.sql(expression, "alias")
-1222        alias = f" AS {alias}" if alias else ""
-1223        unpivot = expression.args.get("unpivot")
-1224        direction = "UNPIVOT" if unpivot else "PIVOT"
-1225        expressions = self.expressions(expression, flat=True)
-1226        field = self.sql(expression, "field")
-1227        return f"{direction}({expressions} FOR {field}){alias}"
-1228
-1229    def tuple_sql(self, expression: exp.Tuple) -> str:
-1230        return f"({self.expressions(expression, flat=True)})"
-1231
-1232    def update_sql(self, expression: exp.Update) -> str:
-1233        this = self.sql(expression, "this")
-1234        set_sql = self.expressions(expression, flat=True)
-1235        from_sql = self.sql(expression, "from")
-1236        where_sql = self.sql(expression, "where")
-1237        returning = self.sql(expression, "returning")
-1238        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
-1239        return self.prepend_ctes(expression, sql)
-1240
-1241    def values_sql(self, expression: exp.Values) -> str:
-1242        args = self.expressions(expression)
-1243        alias = self.sql(expression, "alias")
-1244        values = f"VALUES{self.seg('')}{args}"
-1245        values = (
-1246            f"({values})"
-1247            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
-1248            else values
-1249        )
-1250        return f"{values} AS {alias}" if alias else values
-1251
-1252    def var_sql(self, expression: exp.Var) -> str:
-1253        return self.sql(expression, "this")
-1254
-1255    def into_sql(self, expression: exp.Into) -> str:
-1256        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-1257        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
-1258        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
-1259
-1260    def from_sql(self, expression: exp.From) -> str:
-1261        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
-1262
-1263    def group_sql(self, expression: exp.Group) -> str:
-1264        group_by = self.op_expressions("GROUP BY", expression)
-1265        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
-1266        grouping_sets = (
-1267            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
-1268        )
-1269
-1270        cube = expression.args.get("cube", [])
-1271        if seq_get(cube, 0) is True:
-1272            return f"{group_by}{self.seg('WITH CUBE')}"
-1273        else:
-1274            cube_sql = self.expressions(expression, key="cube", indent=False)
-1275            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
-1276
-1277        rollup = expression.args.get("rollup", [])
-1278        if seq_get(rollup, 0) is True:
-1279            return f"{group_by}{self.seg('WITH ROLLUP')}"
-1280        else:
-1281            rollup_sql = self.expressions(expression, key="rollup", indent=False)
-1282            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
-1283
-1284        groupings = csv(
-1285            grouping_sets,
-1286            cube_sql,
-1287            rollup_sql,
-1288            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
-1289            sep=self.GROUPINGS_SEP,
-1290        )
-1291
-1292        if expression.args.get("expressions") and groupings:
-1293            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1188    def tablesample_sql(
+1189        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+1190    ) -> str:
+1191        if self.alias_post_tablesample and expression.this.alias:
+1192            table = expression.this.copy()
+1193            table.set("alias", None)
+1194            this = self.sql(table)
+1195            alias = f"{sep}{self.sql(expression.this, 'alias')}"
+1196        else:
+1197            this = self.sql(expression, "this")
+1198            alias = ""
+1199        method = self.sql(expression, "method")
+1200        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
+1201        numerator = self.sql(expression, "bucket_numerator")
+1202        denominator = self.sql(expression, "bucket_denominator")
+1203        field = self.sql(expression, "bucket_field")
+1204        field = f" ON {field}" if field else ""
+1205        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
+1206        percent = self.sql(expression, "percent")
+1207        percent = f"{percent} PERCENT" if percent else ""
+1208        rows = self.sql(expression, "rows")
+1209        rows = f"{rows} ROWS" if rows else ""
+1210        size = self.sql(expression, "size")
+1211        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
+1212            size = f"{size} PERCENT"
+1213        seed = self.sql(expression, "seed")
+1214        seed = f" {seed_prefix} ({seed})" if seed else ""
+1215        kind = expression.args.get("kind", "TABLESAMPLE")
+1216        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
+1217
+1218    def pivot_sql(self, expression: exp.Pivot) -> str:
+1219        alias = self.sql(expression, "alias")
+1220        alias = f" AS {alias}" if alias else ""
+1221        unpivot = expression.args.get("unpivot")
+1222        direction = "UNPIVOT" if unpivot else "PIVOT"
+1223        expressions = self.expressions(expression, flat=True)
+1224        field = self.sql(expression, "field")
+1225        return f"{direction}({expressions} FOR {field}){alias}"
+1226
+1227    def tuple_sql(self, expression: exp.Tuple) -> str:
+1228        return f"({self.expressions(expression, flat=True)})"
+1229
+1230    def update_sql(self, expression: exp.Update) -> str:
+1231        this = self.sql(expression, "this")
+1232        set_sql = self.expressions(expression, flat=True)
+1233        from_sql = self.sql(expression, "from")
+1234        where_sql = self.sql(expression, "where")
+1235        returning = self.sql(expression, "returning")
+1236        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
+1237        return self.prepend_ctes(expression, sql)
+1238
+1239    def values_sql(self, expression: exp.Values) -> str:
+1240        args = self.expressions(expression)
+1241        alias = self.sql(expression, "alias")
+1242        values = f"VALUES{self.seg('')}{args}"
+1243        values = (
+1244            f"({values})"
+1245            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
+1246            else values
+1247        )
+1248        return f"{values} AS {alias}" if alias else values
+1249
+1250    def var_sql(self, expression: exp.Var) -> str:
+1251        return self.sql(expression, "this")
+1252
+1253    def into_sql(self, expression: exp.Into) -> str:
+1254        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+1255        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
+1256        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
+1257
+1258    def from_sql(self, expression: exp.From) -> str:
+1259        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
+1260
+1261    def group_sql(self, expression: exp.Group) -> str:
+1262        group_by = self.op_expressions("GROUP BY", expression)
+1263        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
+1264        grouping_sets = (
+1265            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
+1266        )
+1267
+1268        cube = expression.args.get("cube", [])
+1269        if seq_get(cube, 0) is True:
+1270            return f"{group_by}{self.seg('WITH CUBE')}"
+1271        else:
+1272            cube_sql = self.expressions(expression, key="cube", indent=False)
+1273            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
+1274
+1275        rollup = expression.args.get("rollup", [])
+1276        if seq_get(rollup, 0) is True:
+1277            return f"{group_by}{self.seg('WITH ROLLUP')}"
+1278        else:
+1279            rollup_sql = self.expressions(expression, key="rollup", indent=False)
+1280            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
+1281
+1282        groupings = csv(
+1283            grouping_sets,
+1284            cube_sql,
+1285            rollup_sql,
+1286            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
+1287            sep=self.GROUPINGS_SEP,
+1288        )
+1289
+1290        if expression.args.get("expressions") and groupings:
+1291            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1292
+1293        return f"{group_by}{groupings}"
 1294
-1295        return f"{group_by}{groupings}"
-1296
-1297    def having_sql(self, expression: exp.Having) -> str:
-1298        this = self.indent(self.sql(expression, "this"))
-1299        return f"{self.seg('HAVING')}{self.sep()}{this}"
-1300
-1301    def join_sql(self, expression: exp.Join) -> str:
-1302        op_sql = " ".join(
-1303            op
-1304            for op in (
-1305                "NATURAL" if expression.args.get("natural") else None,
-1306                "GLOBAL" if expression.args.get("global") else None,
-1307                expression.side,
-1308                expression.kind,
-1309                expression.hint if self.JOIN_HINTS else None,
-1310            )
-1311            if op
-1312        )
-1313        on_sql = self.sql(expression, "on")
-1314        using = expression.args.get("using")
-1315
-1316        if not on_sql and using:
-1317            on_sql = csv(*(self.sql(column) for column in using))
+1295    def having_sql(self, expression: exp.Having) -> str:
+1296        this = self.indent(self.sql(expression, "this"))
+1297        return f"{self.seg('HAVING')}{self.sep()}{this}"
+1298
+1299    def join_sql(self, expression: exp.Join) -> str:
+1300        op_sql = " ".join(
+1301            op
+1302            for op in (
+1303                "NATURAL" if expression.args.get("natural") else None,
+1304                "GLOBAL" if expression.args.get("global") else None,
+1305                expression.side,
+1306                expression.kind,
+1307                expression.hint if self.JOIN_HINTS else None,
+1308            )
+1309            if op
+1310        )
+1311        on_sql = self.sql(expression, "on")
+1312        using = expression.args.get("using")
+1313
+1314        if not on_sql and using:
+1315            on_sql = csv(*(self.sql(column) for column in using))
+1316
+1317        this_sql = self.sql(expression, "this")
 1318
-1319        this_sql = self.sql(expression, "this")
-1320
-1321        if on_sql:
-1322            on_sql = self.indent(on_sql, skip_first=True)
-1323            space = self.seg(" " * self.pad) if self.pretty else " "
-1324            if using:
-1325                on_sql = f"{space}USING ({on_sql})"
-1326            else:
-1327                on_sql = f"{space}ON {on_sql}"
-1328        elif not op_sql:
-1329            return f", {this_sql}"
-1330
-1331        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
-1332        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
-1333
-1334    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
-1335        args = self.expressions(expression, flat=True)
-1336        args = f"({args})" if len(args.split(",")) > 1 else args
-1337        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
-1338
-1339    def lateral_sql(self, expression: exp.Lateral) -> str:
-1340        this = self.sql(expression, "this")
-1341
-1342        if isinstance(expression.this, exp.Subquery):
-1343            return f"LATERAL {this}"
-1344
-1345        if expression.args.get("view"):
-1346            alias = expression.args["alias"]
-1347            columns = self.expressions(alias, key="columns", flat=True)
-1348            table = f" {alias.name}" if alias.name else ""
-1349            columns = f" AS {columns}" if columns else ""
-1350            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
-1351            return f"{op_sql}{self.sep()}{this}{table}{columns}"
-1352
-1353        alias = self.sql(expression, "alias")
-1354        alias = f" AS {alias}" if alias else ""
-1355        return f"LATERAL {this}{alias}"
-1356
-1357    def limit_sql(self, expression: exp.Limit) -> str:
-1358        this = self.sql(expression, "this")
-1359        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
-1360
-1361    def offset_sql(self, expression: exp.Offset) -> str:
-1362        this = self.sql(expression, "this")
-1363        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
-1364
-1365    def setitem_sql(self, expression: exp.SetItem) -> str:
-1366        kind = self.sql(expression, "kind")
-1367        kind = f"{kind} " if kind else ""
-1368        this = self.sql(expression, "this")
-1369        expressions = self.expressions(expression)
-1370        collate = self.sql(expression, "collate")
-1371        collate = f" COLLATE {collate}" if collate else ""
-1372        global_ = "GLOBAL " if expression.args.get("global") else ""
-1373        return f"{global_}{kind}{this}{expressions}{collate}"
-1374
-1375    def set_sql(self, expression: exp.Set) -> str:
-1376        expressions = (
-1377            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
-1378        )
-1379        return f"SET{expressions}"
-1380
-1381    def pragma_sql(self, expression: exp.Pragma) -> str:
-1382        return f"PRAGMA {self.sql(expression, 'this')}"
-1383
-1384    def lock_sql(self, expression: exp.Lock) -> str:
-1385        if not self.LOCKING_READS_SUPPORTED:
-1386            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
-1387            return ""
-1388
-1389        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
-1390        expressions = self.expressions(expression, flat=True)
-1391        expressions = f" OF {expressions}" if expressions else ""
-1392        wait = expression.args.get("wait")
-1393
-1394        if wait is not None:
-1395            if isinstance(wait, exp.Literal):
-1396                wait = f" WAIT {self.sql(wait)}"
-1397            else:
-1398                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1319        if on_sql:
+1320            on_sql = self.indent(on_sql, skip_first=True)
+1321            space = self.seg(" " * self.pad) if self.pretty else " "
+1322            if using:
+1323                on_sql = f"{space}USING ({on_sql})"
+1324            else:
+1325                on_sql = f"{space}ON {on_sql}"
+1326        elif not op_sql:
+1327            return f", {this_sql}"
+1328
+1329        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
+1330        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
+1331
+1332    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
+1333        args = self.expressions(expression, flat=True)
+1334        args = f"({args})" if len(args.split(",")) > 1 else args
+1335        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
+1336
+1337    def lateral_sql(self, expression: exp.Lateral) -> str:
+1338        this = self.sql(expression, "this")
+1339
+1340        if isinstance(expression.this, exp.Subquery):
+1341            return f"LATERAL {this}"
+1342
+1343        if expression.args.get("view"):
+1344            alias = expression.args["alias"]
+1345            columns = self.expressions(alias, key="columns", flat=True)
+1346            table = f" {alias.name}" if alias.name else ""
+1347            columns = f" AS {columns}" if columns else ""
+1348            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
+1349            return f"{op_sql}{self.sep()}{this}{table}{columns}"
+1350
+1351        alias = self.sql(expression, "alias")
+1352        alias = f" AS {alias}" if alias else ""
+1353        return f"LATERAL {this}{alias}"
+1354
+1355    def limit_sql(self, expression: exp.Limit) -> str:
+1356        this = self.sql(expression, "this")
+1357        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
+1358
+1359    def offset_sql(self, expression: exp.Offset) -> str:
+1360        this = self.sql(expression, "this")
+1361        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
+1362
+1363    def setitem_sql(self, expression: exp.SetItem) -> str:
+1364        kind = self.sql(expression, "kind")
+1365        kind = f"{kind} " if kind else ""
+1366        this = self.sql(expression, "this")
+1367        expressions = self.expressions(expression)
+1368        collate = self.sql(expression, "collate")
+1369        collate = f" COLLATE {collate}" if collate else ""
+1370        global_ = "GLOBAL " if expression.args.get("global") else ""
+1371        return f"{global_}{kind}{this}{expressions}{collate}"
+1372
+1373    def set_sql(self, expression: exp.Set) -> str:
+1374        expressions = (
+1375            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
+1376        )
+1377        return f"SET{expressions}"
+1378
+1379    def pragma_sql(self, expression: exp.Pragma) -> str:
+1380        return f"PRAGMA {self.sql(expression, 'this')}"
+1381
+1382    def lock_sql(self, expression: exp.Lock) -> str:
+1383        if not self.LOCKING_READS_SUPPORTED:
+1384            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
+1385            return ""
+1386
+1387        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
+1388        expressions = self.expressions(expression, flat=True)
+1389        expressions = f" OF {expressions}" if expressions else ""
+1390        wait = expression.args.get("wait")
+1391
+1392        if wait is not None:
+1393            if isinstance(wait, exp.Literal):
+1394                wait = f" WAIT {self.sql(wait)}"
+1395            else:
+1396                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1397
+1398        return f"{lock_type}{expressions}{wait or ''}"
 1399
-1400        return f"{lock_type}{expressions}{wait or ''}"
-1401
-1402    def literal_sql(self, expression: exp.Literal) -> str:
-1403        text = expression.this or ""
-1404        if expression.is_string:
-1405            text = text.replace(self.quote_end, self._escaped_quote_end)
-1406            if self.pretty:
-1407                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
-1408            text = f"{self.quote_start}{text}{self.quote_end}"
-1409        return text
-1410
-1411    def loaddata_sql(self, expression: exp.LoadData) -> str:
-1412        local = " LOCAL" if expression.args.get("local") else ""
-1413        inpath = f" INPATH {self.sql(expression, 'inpath')}"
-1414        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
-1415        this = f" INTO TABLE {self.sql(expression, 'this')}"
-1416        partition = self.sql(expression, "partition")
-1417        partition = f" {partition}" if partition else ""
-1418        input_format = self.sql(expression, "input_format")
-1419        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
-1420        serde = self.sql(expression, "serde")
-1421        serde = f" SERDE {serde}" if serde else ""
-1422        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
-1423
-1424    def null_sql(self, *_) -> str:
-1425        return "NULL"
-1426
-1427    def boolean_sql(self, expression: exp.Boolean) -> str:
-1428        return "TRUE" if expression.this else "FALSE"
-1429
-1430    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
-1431        this = self.sql(expression, "this")
-1432        this = f"{this} " if this else this
-1433        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
-1434
-1435    def cluster_sql(self, expression: exp.Cluster) -> str:
-1436        return self.op_expressions("CLUSTER BY", expression)
-1437
-1438    def distribute_sql(self, expression: exp.Distribute) -> str:
-1439        return self.op_expressions("DISTRIBUTE BY", expression)
-1440
-1441    def sort_sql(self, expression: exp.Sort) -> str:
-1442        return self.op_expressions("SORT BY", expression)
-1443
-1444    def ordered_sql(self, expression: exp.Ordered) -> str:
-1445        desc = expression.args.get("desc")
-1446        asc = not desc
-1447
-1448        nulls_first = expression.args.get("nulls_first")
-1449        nulls_last = not nulls_first
-1450        nulls_are_large = self.null_ordering == "nulls_are_large"
-1451        nulls_are_small = self.null_ordering == "nulls_are_small"
-1452        nulls_are_last = self.null_ordering == "nulls_are_last"
-1453
-1454        sort_order = " DESC" if desc else ""
-1455        nulls_sort_change = ""
-1456        if nulls_first and (
-1457            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
-1458        ):
-1459            nulls_sort_change = " NULLS FIRST"
-1460        elif (
-1461            nulls_last
-1462            and ((asc and nulls_are_small) or (desc and nulls_are_large))
-1463            and not nulls_are_last
-1464        ):
-1465            nulls_sort_change = " NULLS LAST"
-1466
-1467        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
-1468            self.unsupported(
-1469                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
-1470            )
-1471            nulls_sort_change = ""
+1400    def literal_sql(self, expression: exp.Literal) -> str:
+1401        text = expression.this or ""
+1402        if expression.is_string:
+1403            text = text.replace(self.quote_end, self._escaped_quote_end)
+1404            if self.pretty:
+1405                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
+1406            text = f"{self.quote_start}{text}{self.quote_end}"
+1407        return text
+1408
+1409    def loaddata_sql(self, expression: exp.LoadData) -> str:
+1410        local = " LOCAL" if expression.args.get("local") else ""
+1411        inpath = f" INPATH {self.sql(expression, 'inpath')}"
+1412        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
+1413        this = f" INTO TABLE {self.sql(expression, 'this')}"
+1414        partition = self.sql(expression, "partition")
+1415        partition = f" {partition}" if partition else ""
+1416        input_format = self.sql(expression, "input_format")
+1417        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
+1418        serde = self.sql(expression, "serde")
+1419        serde = f" SERDE {serde}" if serde else ""
+1420        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
+1421
+1422    def null_sql(self, *_) -> str:
+1423        return "NULL"
+1424
+1425    def boolean_sql(self, expression: exp.Boolean) -> str:
+1426        return "TRUE" if expression.this else "FALSE"
+1427
+1428    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
+1429        this = self.sql(expression, "this")
+1430        this = f"{this} " if this else this
+1431        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
+1432
+1433    def cluster_sql(self, expression: exp.Cluster) -> str:
+1434        return self.op_expressions("CLUSTER BY", expression)
+1435
+1436    def distribute_sql(self, expression: exp.Distribute) -> str:
+1437        return self.op_expressions("DISTRIBUTE BY", expression)
+1438
+1439    def sort_sql(self, expression: exp.Sort) -> str:
+1440        return self.op_expressions("SORT BY", expression)
+1441
+1442    def ordered_sql(self, expression: exp.Ordered) -> str:
+1443        desc = expression.args.get("desc")
+1444        asc = not desc
+1445
+1446        nulls_first = expression.args.get("nulls_first")
+1447        nulls_last = not nulls_first
+1448        nulls_are_large = self.null_ordering == "nulls_are_large"
+1449        nulls_are_small = self.null_ordering == "nulls_are_small"
+1450        nulls_are_last = self.null_ordering == "nulls_are_last"
+1451
+1452        sort_order = " DESC" if desc else ""
+1453        nulls_sort_change = ""
+1454        if nulls_first and (
+1455            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
+1456        ):
+1457            nulls_sort_change = " NULLS FIRST"
+1458        elif (
+1459            nulls_last
+1460            and ((asc and nulls_are_small) or (desc and nulls_are_large))
+1461            and not nulls_are_last
+1462        ):
+1463            nulls_sort_change = " NULLS LAST"
+1464
+1465        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
+1466            self.unsupported(
+1467                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
+1468            )
+1469            nulls_sort_change = ""
+1470
+1471        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
 1472
-1473        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
-1474
-1475    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
-1476        partition = self.partition_by_sql(expression)
-1477        order = self.sql(expression, "order")
-1478        measures = self.expressions(expression, key="measures")
-1479        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
-1480        rows = self.sql(expression, "rows")
-1481        rows = self.seg(rows) if rows else ""
-1482        after = self.sql(expression, "after")
-1483        after = self.seg(after) if after else ""
-1484        pattern = self.sql(expression, "pattern")
-1485        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
-1486        definition_sqls = [
-1487            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
-1488            for definition in expression.args.get("define", [])
-1489        ]
-1490        definitions = self.expressions(sqls=definition_sqls)
-1491        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
-1492        body = "".join(
-1493            (
-1494                partition,
-1495                order,
-1496                measures,
-1497                rows,
-1498                after,
-1499                pattern,
-1500                define,
-1501            )
-1502        )
-1503        alias = self.sql(expression, "alias")
-1504        alias = f" {alias}" if alias else ""
-1505        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
-1506
-1507    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
-1508        limit = expression.args.get("limit")
-1509
-1510        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
-1511            limit = exp.Limit(expression=limit.args.get("count"))
-1512        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
-1513            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1473    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
+1474        partition = self.partition_by_sql(expression)
+1475        order = self.sql(expression, "order")
+1476        measures = self.expressions(expression, key="measures")
+1477        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
+1478        rows = self.sql(expression, "rows")
+1479        rows = self.seg(rows) if rows else ""
+1480        after = self.sql(expression, "after")
+1481        after = self.seg(after) if after else ""
+1482        pattern = self.sql(expression, "pattern")
+1483        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
+1484        definition_sqls = [
+1485            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
+1486            for definition in expression.args.get("define", [])
+1487        ]
+1488        definitions = self.expressions(sqls=definition_sqls)
+1489        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
+1490        body = "".join(
+1491            (
+1492                partition,
+1493                order,
+1494                measures,
+1495                rows,
+1496                after,
+1497                pattern,
+1498                define,
+1499            )
+1500        )
+1501        alias = self.sql(expression, "alias")
+1502        alias = f" {alias}" if alias else ""
+1503        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
+1504
+1505    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
+1506        limit = expression.args.get("limit")
+1507
+1508        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
+1509            limit = exp.Limit(expression=limit.args.get("count"))
+1510        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
+1511            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1512
+1513        fetch = isinstance(limit, exp.Fetch)
 1514
-1515        fetch = isinstance(limit, exp.Fetch)
-1516
-1517        return csv(
-1518            *sqls,
-1519            *[self.sql(join) for join in expression.args.get("joins") or []],
-1520            self.sql(expression, "match"),
-1521            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
-1522            self.sql(expression, "where"),
-1523            self.sql(expression, "group"),
-1524            self.sql(expression, "having"),
-1525            *self.after_having_modifiers(expression),
-1526            self.sql(expression, "order"),
-1527            self.sql(expression, "offset") if fetch else self.sql(limit),
-1528            self.sql(limit) if fetch else self.sql(expression, "offset"),
-1529            *self.after_limit_modifiers(expression),
-1530            sep="",
-1531        )
-1532
-1533    def after_having_modifiers(self, expression):
-1534        return [
-1535            self.sql(expression, "qualify"),
-1536            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
-1537            if expression.args.get("windows")
-1538            else "",
-1539        ]
-1540
-1541    def after_limit_modifiers(self, expression):
-1542        locks = self.expressions(expression, key="locks", sep=" ")
-1543        locks = f" {locks}" if locks else ""
-1544        return [locks, self.sql(expression, "sample")]
-1545
-1546    def select_sql(self, expression: exp.Select) -> str:
-1547        hint = self.sql(expression, "hint")
-1548        distinct = self.sql(expression, "distinct")
-1549        distinct = f" {distinct}" if distinct else ""
-1550        kind = expression.args.get("kind")
-1551        kind = f" AS {kind}" if kind else ""
-1552        expressions = self.expressions(expression)
-1553        expressions = f"{self.sep()}{expressions}" if expressions else expressions
-1554        sql = self.query_modifiers(
-1555            expression,
-1556            f"SELECT{hint}{distinct}{kind}{expressions}",
-1557            self.sql(expression, "into", comment=False),
-1558            self.sql(expression, "from", comment=False),
-1559        )
-1560        return self.prepend_ctes(expression, sql)
-1561
-1562    def schema_sql(self, expression: exp.Schema) -> str:
-1563        this = self.sql(expression, "this")
-1564        this = f"{this} " if this else ""
-1565        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
-1566        return f"{this}{sql}"
-1567
-1568    def star_sql(self, expression: exp.Star) -> str:
-1569        except_ = self.expressions(expression, key="except", flat=True)
-1570        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
-1571        replace = self.expressions(expression, key="replace", flat=True)
-1572        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
-1573        return f"*{except_}{replace}"
-1574
-1575    def parameter_sql(self, expression: exp.Parameter) -> str:
-1576        this = self.sql(expression, "this")
-1577        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
-1578        return f"{self.PARAMETER_TOKEN}{this}"
-1579
-1580    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
-1581        this = self.sql(expression, "this")
-1582        kind = expression.text("kind")
-1583        if kind:
-1584            kind = f"{kind}."
-1585        return f"@@{kind}{this}"
-1586
-1587    def placeholder_sql(self, expression: exp.Placeholder) -> str:
-1588        return f":{expression.name}" if expression.name else "?"
-1589
-1590    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
-1591        alias = self.sql(expression, "alias")
-1592        alias = f"{sep}{alias}" if alias else ""
-1593
-1594        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1595        pivots = f" {pivots}" if pivots else ""
-1596
-1597        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
-1598        return self.prepend_ctes(expression, sql)
-1599
-1600    def qualify_sql(self, expression: exp.Qualify) -> str:
-1601        this = self.indent(self.sql(expression, "this"))
-1602        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
-1603
-1604    def union_sql(self, expression: exp.Union) -> str:
-1605        return self.prepend_ctes(
-1606            expression,
-1607            self.set_operation(expression, self.union_op(expression)),
-1608        )
-1609
-1610    def union_op(self, expression: exp.Union) -> str:
-1611        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
-1612        kind = kind if expression.args.get("distinct") else " ALL"
-1613        return f"UNION{kind}"
-1614
-1615    def unnest_sql(self, expression: exp.Unnest) -> str:
-1616        args = self.expressions(expression, flat=True)
-1617        alias = expression.args.get("alias")
-1618        if alias and self.unnest_column_only:
-1619            columns = alias.columns
-1620            alias = self.sql(columns[0]) if columns else ""
-1621        else:
-1622            alias = self.sql(expression, "alias")
-1623        alias = f" AS {alias}" if alias else alias
-1624        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
-1625        offset = expression.args.get("offset")
-1626        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
-1627        return f"UNNEST({args}){ordinality}{alias}{offset}"
-1628
-1629    def where_sql(self, expression: exp.Where) -> str:
-1630        this = self.indent(self.sql(expression, "this"))
-1631        return f"{self.seg('WHERE')}{self.sep()}{this}"
-1632
-1633    def window_sql(self, expression: exp.Window) -> str:
-1634        this = self.sql(expression, "this")
+1515        return csv(
+1516            *sqls,
+1517            *[self.sql(join) for join in expression.args.get("joins") or []],
+1518            self.sql(expression, "match"),
+1519            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
+1520            self.sql(expression, "where"),
+1521            self.sql(expression, "group"),
+1522            self.sql(expression, "having"),
+1523            *self.after_having_modifiers(expression),
+1524            self.sql(expression, "order"),
+1525            self.sql(expression, "offset") if fetch else self.sql(limit),
+1526            self.sql(limit) if fetch else self.sql(expression, "offset"),
+1527            *self.after_limit_modifiers(expression),
+1528            sep="",
+1529        )
+1530
+1531    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1532        return [
+1533            self.sql(expression, "qualify"),
+1534            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
+1535            if expression.args.get("windows")
+1536            else "",
+1537        ]
+1538
+1539    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1540        locks = self.expressions(expression, key="locks", sep=" ")
+1541        locks = f" {locks}" if locks else ""
+1542        return [locks, self.sql(expression, "sample")]
+1543
+1544    def select_sql(self, expression: exp.Select) -> str:
+1545        hint = self.sql(expression, "hint")
+1546        distinct = self.sql(expression, "distinct")
+1547        distinct = f" {distinct}" if distinct else ""
+1548        kind = expression.args.get("kind")
+1549        kind = f" AS {kind}" if kind else ""
+1550        expressions = self.expressions(expression)
+1551        expressions = f"{self.sep()}{expressions}" if expressions else expressions
+1552        sql = self.query_modifiers(
+1553            expression,
+1554            f"SELECT{hint}{distinct}{kind}{expressions}",
+1555            self.sql(expression, "into", comment=False),
+1556            self.sql(expression, "from", comment=False),
+1557        )
+1558        return self.prepend_ctes(expression, sql)
+1559
+1560    def schema_sql(self, expression: exp.Schema) -> str:
+1561        this = self.sql(expression, "this")
+1562        this = f"{this} " if this else ""
+1563        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
+1564        return f"{this}{sql}"
+1565
+1566    def star_sql(self, expression: exp.Star) -> str:
+1567        except_ = self.expressions(expression, key="except", flat=True)
+1568        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
+1569        replace = self.expressions(expression, key="replace", flat=True)
+1570        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
+1571        return f"*{except_}{replace}"
+1572
+1573    def parameter_sql(self, expression: exp.Parameter) -> str:
+1574        this = self.sql(expression, "this")
+1575        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
+1576        return f"{self.PARAMETER_TOKEN}{this}"
+1577
+1578    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
+1579        this = self.sql(expression, "this")
+1580        kind = expression.text("kind")
+1581        if kind:
+1582            kind = f"{kind}."
+1583        return f"@@{kind}{this}"
+1584
+1585    def placeholder_sql(self, expression: exp.Placeholder) -> str:
+1586        return f":{expression.name}" if expression.name else "?"
+1587
+1588    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
+1589        alias = self.sql(expression, "alias")
+1590        alias = f"{sep}{alias}" if alias else ""
+1591
+1592        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1593        pivots = f" {pivots}" if pivots else ""
+1594
+1595        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
+1596        return self.prepend_ctes(expression, sql)
+1597
+1598    def qualify_sql(self, expression: exp.Qualify) -> str:
+1599        this = self.indent(self.sql(expression, "this"))
+1600        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
+1601
+1602    def union_sql(self, expression: exp.Union) -> str:
+1603        return self.prepend_ctes(
+1604            expression,
+1605            self.set_operation(expression, self.union_op(expression)),
+1606        )
+1607
+1608    def union_op(self, expression: exp.Union) -> str:
+1609        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
+1610        kind = kind if expression.args.get("distinct") else " ALL"
+1611        return f"UNION{kind}"
+1612
+1613    def unnest_sql(self, expression: exp.Unnest) -> str:
+1614        args = self.expressions(expression, flat=True)
+1615        alias = expression.args.get("alias")
+1616        if alias and self.unnest_column_only:
+1617            columns = alias.columns
+1618            alias = self.sql(columns[0]) if columns else ""
+1619        else:
+1620            alias = self.sql(expression, "alias")
+1621        alias = f" AS {alias}" if alias else alias
+1622        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
+1623        offset = expression.args.get("offset")
+1624        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
+1625        return f"UNNEST({args}){ordinality}{alias}{offset}"
+1626
+1627    def where_sql(self, expression: exp.Where) -> str:
+1628        this = self.indent(self.sql(expression, "this"))
+1629        return f"{self.seg('WHERE')}{self.sep()}{this}"
+1630
+1631    def window_sql(self, expression: exp.Window) -> str:
+1632        this = self.sql(expression, "this")
+1633
+1634        partition = self.partition_by_sql(expression)
 1635
-1636        partition = self.partition_by_sql(expression)
-1637
-1638        order = expression.args.get("order")
-1639        order_sql = self.order_sql(order, flat=True) if order else ""
+1636        order = expression.args.get("order")
+1637        order_sql = self.order_sql(order, flat=True) if order else ""
+1638
+1639        partition_sql = partition + " " if partition and order else partition
 1640
-1641        partition_sql = partition + " " if partition and order else partition
-1642
-1643        spec = expression.args.get("spec")
-1644        spec_sql = " " + self.windowspec_sql(spec) if spec else ""
-1645
-1646        alias = self.sql(expression, "alias")
-1647        over = self.sql(expression, "over") or "OVER"
-1648        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
-1649
-1650        first = expression.args.get("first")
-1651        if first is not None:
-1652            first = " FIRST " if first else " LAST "
-1653        first = first or ""
-1654
-1655        if not partition and not order and not spec and alias:
-1656            return f"{this} {alias}"
+1641        spec = expression.args.get("spec")
+1642        spec_sql = " " + self.windowspec_sql(spec) if spec else ""
+1643
+1644        alias = self.sql(expression, "alias")
+1645        over = self.sql(expression, "over") or "OVER"
+1646        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
+1647
+1648        first = expression.args.get("first")
+1649        if first is not None:
+1650            first = " FIRST " if first else " LAST "
+1651        first = first or ""
+1652
+1653        if not partition and not order and not spec and alias:
+1654            return f"{this} {alias}"
+1655
+1656        window_args = alias + first + partition_sql + order_sql + spec_sql
 1657
-1658        window_args = alias + first + partition_sql + order_sql + spec_sql
+1658        return f"{this} ({window_args.strip()})"
 1659
-1660        return f"{this} ({window_args.strip()})"
-1661
-1662    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
-1663        partition = self.expressions(expression, key="partition_by", flat=True)
-1664        return f"PARTITION BY {partition}" if partition else ""
-1665
-1666    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
-1667        kind = self.sql(expression, "kind")
-1668        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
-1669        end = (
-1670            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
-1671            or "CURRENT ROW"
-1672        )
-1673        return f"{kind} BETWEEN {start} AND {end}"
-1674
-1675    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
-1676        this = self.sql(expression, "this")
-1677        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
-1678        return f"{this} WITHIN GROUP ({expression_sql})"
-1679
-1680    def between_sql(self, expression: exp.Between) -> str:
-1681        this = self.sql(expression, "this")
-1682        low = self.sql(expression, "low")
-1683        high = self.sql(expression, "high")
-1684        return f"{this} BETWEEN {low} AND {high}"
-1685
-1686    def bracket_sql(self, expression: exp.Bracket) -> str:
-1687        expressions = apply_index_offset(expression.this, expression.expressions, self.index_offset)
-1688        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1660    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
+1661        partition = self.expressions(expression, key="partition_by", flat=True)
+1662        return f"PARTITION BY {partition}" if partition else ""
+1663
+1664    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
+1665        kind = self.sql(expression, "kind")
+1666        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
+1667        end = (
+1668            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
+1669            or "CURRENT ROW"
+1670        )
+1671        return f"{kind} BETWEEN {start} AND {end}"
+1672
+1673    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
+1674        this = self.sql(expression, "this")
+1675        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
+1676        return f"{this} WITHIN GROUP ({expression_sql})"
+1677
+1678    def between_sql(self, expression: exp.Between) -> str:
+1679        this = self.sql(expression, "this")
+1680        low = self.sql(expression, "low")
+1681        high = self.sql(expression, "high")
+1682        return f"{this} BETWEEN {low} AND {high}"
+1683
+1684    def bracket_sql(self, expression: exp.Bracket) -> str:
+1685        expressions = apply_index_offset(expression.this, expression.expressions, self.index_offset)
+1686        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1687
+1688        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
 1689
-1690        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
-1691
-1692    def all_sql(self, expression: exp.All) -> str:
-1693        return f"ALL {self.wrap(expression)}"
-1694
-1695    def any_sql(self, expression: exp.Any) -> str:
-1696        this = self.sql(expression, "this")
-1697        if isinstance(expression.this, exp.Subqueryable):
-1698            this = self.wrap(this)
-1699        return f"ANY {this}"
-1700
-1701    def exists_sql(self, expression: exp.Exists) -> str:
-1702        return f"EXISTS{self.wrap(expression)}"
-1703
-1704    def case_sql(self, expression: exp.Case) -> str:
-1705        this = self.sql(expression, "this")
-1706        statements = [f"CASE {this}" if this else "CASE"]
-1707
-1708        for e in expression.args["ifs"]:
-1709            statements.append(f"WHEN {self.sql(e, 'this')}")
-1710            statements.append(f"THEN {self.sql(e, 'true')}")
+1690    def all_sql(self, expression: exp.All) -> str:
+1691        return f"ALL {self.wrap(expression)}"
+1692
+1693    def any_sql(self, expression: exp.Any) -> str:
+1694        this = self.sql(expression, "this")
+1695        if isinstance(expression.this, exp.Subqueryable):
+1696            this = self.wrap(this)
+1697        return f"ANY {this}"
+1698
+1699    def exists_sql(self, expression: exp.Exists) -> str:
+1700        return f"EXISTS{self.wrap(expression)}"
+1701
+1702    def case_sql(self, expression: exp.Case) -> str:
+1703        this = self.sql(expression, "this")
+1704        statements = [f"CASE {this}" if this else "CASE"]
+1705
+1706        for e in expression.args["ifs"]:
+1707            statements.append(f"WHEN {self.sql(e, 'this')}")
+1708            statements.append(f"THEN {self.sql(e, 'true')}")
+1709
+1710        default = self.sql(expression, "default")
 1711
-1712        default = self.sql(expression, "default")
-1713
-1714        if default:
-1715            statements.append(f"ELSE {default}")
+1712        if default:
+1713            statements.append(f"ELSE {default}")
+1714
+1715        statements.append("END")
 1716
-1717        statements.append("END")
-1718
-1719        if self.pretty and self.text_width(statements) > self._max_text_width:
-1720            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
+1717        if self.pretty and self.text_width(statements) > self._max_text_width:
+1718            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
+1719
+1720        return " ".join(statements)
 1721
-1722        return " ".join(statements)
-1723
-1724    def constraint_sql(self, expression: exp.Constraint) -> str:
-1725        this = self.sql(expression, "this")
-1726        expressions = self.expressions(expression, flat=True)
-1727        return f"CONSTRAINT {this} {expressions}"
-1728
-1729    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
-1730        order = expression.args.get("order")
-1731        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
-1732        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
-1733
-1734    def extract_sql(self, expression: exp.Extract) -> str:
-1735        this = self.sql(expression, "this")
-1736        expression_sql = self.sql(expression, "expression")
-1737        return f"EXTRACT({this} FROM {expression_sql})"
-1738
-1739    def trim_sql(self, expression: exp.Trim) -> str:
-1740        trim_type = self.sql(expression, "position")
-1741
-1742        if trim_type == "LEADING":
-1743            return self.func("LTRIM", expression.this)
-1744        elif trim_type == "TRAILING":
-1745            return self.func("RTRIM", expression.this)
-1746        else:
-1747            return self.func("TRIM", expression.this, expression.expression)
-1748
-1749    def concat_sql(self, expression: exp.Concat) -> str:
-1750        if len(expression.expressions) == 1:
-1751            return self.sql(expression.expressions[0])
-1752        return self.function_fallback_sql(expression)
-1753
-1754    def check_sql(self, expression: exp.Check) -> str:
-1755        this = self.sql(expression, key="this")
-1756        return f"CHECK ({this})"
-1757
-1758    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
-1759        expressions = self.expressions(expression, flat=True)
-1760        reference = self.sql(expression, "reference")
-1761        reference = f" {reference}" if reference else ""
-1762        delete = self.sql(expression, "delete")
-1763        delete = f" ON DELETE {delete}" if delete else ""
-1764        update = self.sql(expression, "update")
-1765        update = f" ON UPDATE {update}" if update else ""
-1766        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
-1767
-1768    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
-1769        expressions = self.expressions(expression, flat=True)
-1770        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1771        options = f" {options}" if options else ""
-1772        return f"PRIMARY KEY ({expressions}){options}"
-1773
-1774    def unique_sql(self, expression: exp.Unique) -> str:
-1775        columns = self.expressions(expression, key="expressions")
-1776        return f"UNIQUE ({columns})"
-1777
-1778    def if_sql(self, expression: exp.If) -> str:
-1779        return self.case_sql(
-1780            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
-1781        )
-1782
-1783    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
-1784        modifier = expression.args.get("modifier")
-1785        modifier = f" {modifier}" if modifier else ""
-1786        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
-1787
-1788    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
-1789        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
-1790
-1791    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
-1792        expressions = self.expressions(expression)
-1793        null_handling = expression.args.get("null_handling")
-1794        null_handling = f" {null_handling}" if null_handling else ""
-1795        unique_keys = expression.args.get("unique_keys")
-1796        if unique_keys is not None:
-1797            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
-1798        else:
-1799            unique_keys = ""
-1800        return_type = self.sql(expression, "return_type")
-1801        return_type = f" RETURNING {return_type}" if return_type else ""
-1802        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
-1803        encoding = self.sql(expression, "encoding")
-1804        encoding = f" ENCODING {encoding}" if encoding else ""
-1805        return f"JSON_OBJECT({expressions}{null_handling}{unique_keys}{return_type}{format_json}{encoding})"
-1806
-1807    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
-1808        this = self.sql(expression, "this")
-1809        kind = self.sql(expression, "kind")
-1810        path = self.sql(expression, "path")
-1811        path = f" {path}" if path else ""
-1812        as_json = " AS JSON" if expression.args.get("as_json") else ""
-1813        return f"{this} {kind}{path}{as_json}"
-1814
-1815    def openjson_sql(self, expression: exp.OpenJSON) -> str:
-1816        this = self.sql(expression, "this")
-1817        path = self.sql(expression, "path")
-1818        path = f", {path}" if path else ""
-1819        expressions = self.expressions(expression)
-1820        with_ = (
-1821            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
-1822            if expressions
-1823            else ""
-1824        )
-1825        return f"OPENJSON({this}{path}){with_}"
-1826
-1827    def in_sql(self, expression: exp.In) -> str:
-1828        query = expression.args.get("query")
-1829        unnest = expression.args.get("unnest")
-1830        field = expression.args.get("field")
-1831        is_global = " GLOBAL" if expression.args.get("is_global") else ""
-1832
-1833        if query:
-1834            in_sql = self.wrap(query)
-1835        elif unnest:
-1836            in_sql = self.in_unnest_op(unnest)
-1837        elif field:
-1838            in_sql = self.sql(field)
-1839        else:
-1840            in_sql = f"({self.expressions(expression, flat=True)})"
+1722    def constraint_sql(self, expression: exp.Constraint) -> str:
+1723        this = self.sql(expression, "this")
+1724        expressions = self.expressions(expression, flat=True)
+1725        return f"CONSTRAINT {this} {expressions}"
+1726
+1727    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
+1728        order = expression.args.get("order")
+1729        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
+1730        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+1731
+1732    def extract_sql(self, expression: exp.Extract) -> str:
+1733        this = self.sql(expression, "this")
+1734        expression_sql = self.sql(expression, "expression")
+1735        return f"EXTRACT({this} FROM {expression_sql})"
+1736
+1737    def trim_sql(self, expression: exp.Trim) -> str:
+1738        trim_type = self.sql(expression, "position")
+1739
+1740        if trim_type == "LEADING":
+1741            return self.func("LTRIM", expression.this)
+1742        elif trim_type == "TRAILING":
+1743            return self.func("RTRIM", expression.this)
+1744        else:
+1745            return self.func("TRIM", expression.this, expression.expression)
+1746
+1747    def concat_sql(self, expression: exp.Concat) -> str:
+1748        if len(expression.expressions) == 1:
+1749            return self.sql(expression.expressions[0])
+1750        return self.function_fallback_sql(expression)
+1751
+1752    def check_sql(self, expression: exp.Check) -> str:
+1753        this = self.sql(expression, key="this")
+1754        return f"CHECK ({this})"
+1755
+1756    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
+1757        expressions = self.expressions(expression, flat=True)
+1758        reference = self.sql(expression, "reference")
+1759        reference = f" {reference}" if reference else ""
+1760        delete = self.sql(expression, "delete")
+1761        delete = f" ON DELETE {delete}" if delete else ""
+1762        update = self.sql(expression, "update")
+1763        update = f" ON UPDATE {update}" if update else ""
+1764        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
+1765
+1766    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
+1767        expressions = self.expressions(expression, flat=True)
+1768        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1769        options = f" {options}" if options else ""
+1770        return f"PRIMARY KEY ({expressions}){options}"
+1771
+1772    def unique_sql(self, expression: exp.Unique) -> str:
+1773        columns = self.expressions(expression, key="expressions")
+1774        return f"UNIQUE ({columns})"
+1775
+1776    def if_sql(self, expression: exp.If) -> str:
+1777        return self.case_sql(
+1778            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
+1779        )
+1780
+1781    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
+1782        modifier = expression.args.get("modifier")
+1783        modifier = f" {modifier}" if modifier else ""
+1784        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
+1785
+1786    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
+1787        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
+1788
+1789    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
+1790        expressions = self.expressions(expression)
+1791        null_handling = expression.args.get("null_handling")
+1792        null_handling = f" {null_handling}" if null_handling else ""
+1793        unique_keys = expression.args.get("unique_keys")
+1794        if unique_keys is not None:
+1795            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
+1796        else:
+1797            unique_keys = ""
+1798        return_type = self.sql(expression, "return_type")
+1799        return_type = f" RETURNING {return_type}" if return_type else ""
+1800        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
+1801        encoding = self.sql(expression, "encoding")
+1802        encoding = f" ENCODING {encoding}" if encoding else ""
+1803        return f"JSON_OBJECT({expressions}{null_handling}{unique_keys}{return_type}{format_json}{encoding})"
+1804
+1805    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
+1806        this = self.sql(expression, "this")
+1807        kind = self.sql(expression, "kind")
+1808        path = self.sql(expression, "path")
+1809        path = f" {path}" if path else ""
+1810        as_json = " AS JSON" if expression.args.get("as_json") else ""
+1811        return f"{this} {kind}{path}{as_json}"
+1812
+1813    def openjson_sql(self, expression: exp.OpenJSON) -> str:
+1814        this = self.sql(expression, "this")
+1815        path = self.sql(expression, "path")
+1816        path = f", {path}" if path else ""
+1817        expressions = self.expressions(expression)
+1818        with_ = (
+1819            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
+1820            if expressions
+1821            else ""
+1822        )
+1823        return f"OPENJSON({this}{path}){with_}"
+1824
+1825    def in_sql(self, expression: exp.In) -> str:
+1826        query = expression.args.get("query")
+1827        unnest = expression.args.get("unnest")
+1828        field = expression.args.get("field")
+1829        is_global = " GLOBAL" if expression.args.get("is_global") else ""
+1830
+1831        if query:
+1832            in_sql = self.wrap(query)
+1833        elif unnest:
+1834            in_sql = self.in_unnest_op(unnest)
+1835        elif field:
+1836            in_sql = self.sql(field)
+1837        else:
+1838            in_sql = f"({self.expressions(expression, flat=True)})"
+1839
+1840        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
 1841
-1842        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
-1843
-1844    def in_unnest_op(self, unnest: exp.Unnest) -> str:
-1845        return f"(SELECT {self.sql(unnest)})"
-1846
-1847    def interval_sql(self, expression: exp.Interval) -> str:
-1848        unit = self.sql(expression, "unit")
-1849        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
-1850            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
-1851        unit = f" {unit}" if unit else ""
-1852
-1853        if self.SINGLE_STRING_INTERVAL:
-1854            this = expression.this.name if expression.this else ""
-1855            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
-1856
-1857        this = self.sql(expression, "this")
-1858        if this:
-1859            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
-1860            this = f" {this}" if unwrapped else f" ({this})"
+1842    def in_unnest_op(self, unnest: exp.Unnest) -> str:
+1843        return f"(SELECT {self.sql(unnest)})"
+1844
+1845    def interval_sql(self, expression: exp.Interval) -> str:
+1846        unit = self.sql(expression, "unit")
+1847        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
+1848            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
+1849        unit = f" {unit}" if unit else ""
+1850
+1851        if self.SINGLE_STRING_INTERVAL:
+1852            this = expression.this.name if expression.this else ""
+1853            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
+1854
+1855        this = self.sql(expression, "this")
+1856        if this:
+1857            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
+1858            this = f" {this}" if unwrapped else f" ({this})"
+1859
+1860        return f"INTERVAL{this}{unit}"
 1861
-1862        return f"INTERVAL{this}{unit}"
-1863
-1864    def return_sql(self, expression: exp.Return) -> str:
-1865        return f"RETURN {self.sql(expression, 'this')}"
-1866
-1867    def reference_sql(self, expression: exp.Reference) -> str:
-1868        this = self.sql(expression, "this")
-1869        expressions = self.expressions(expression, flat=True)
-1870        expressions = f"({expressions})" if expressions else ""
-1871        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1872        options = f" {options}" if options else ""
-1873        return f"REFERENCES {this}{expressions}{options}"
-1874
-1875    def anonymous_sql(self, expression: exp.Anonymous) -> str:
-1876        return self.func(expression.name, *expression.expressions)
-1877
-1878    def paren_sql(self, expression: exp.Paren) -> str:
-1879        if isinstance(expression.unnest(), exp.Select):
-1880            sql = self.wrap(expression)
-1881        else:
-1882            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
-1883            sql = f"({sql}{self.seg(')', sep='')}"
+1862    def return_sql(self, expression: exp.Return) -> str:
+1863        return f"RETURN {self.sql(expression, 'this')}"
+1864
+1865    def reference_sql(self, expression: exp.Reference) -> str:
+1866        this = self.sql(expression, "this")
+1867        expressions = self.expressions(expression, flat=True)
+1868        expressions = f"({expressions})" if expressions else ""
+1869        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1870        options = f" {options}" if options else ""
+1871        return f"REFERENCES {this}{expressions}{options}"
+1872
+1873    def anonymous_sql(self, expression: exp.Anonymous) -> str:
+1874        return self.func(expression.name, *expression.expressions)
+1875
+1876    def paren_sql(self, expression: exp.Paren) -> str:
+1877        if isinstance(expression.unnest(), exp.Select):
+1878            sql = self.wrap(expression)
+1879        else:
+1880            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
+1881            sql = f"({sql}{self.seg(')', sep='')}"
+1882
+1883        return self.prepend_ctes(expression, sql)
 1884
-1885        return self.prepend_ctes(expression, sql)
-1886
-1887    def neg_sql(self, expression: exp.Neg) -> str:
-1888        # This makes sure we don't convert "- - 5" to "--5", which is a comment
-1889        this_sql = self.sql(expression, "this")
-1890        sep = " " if this_sql[0] == "-" else ""
-1891        return f"-{sep}{this_sql}"
-1892
-1893    def not_sql(self, expression: exp.Not) -> str:
-1894        return f"NOT {self.sql(expression, 'this')}"
-1895
-1896    def alias_sql(self, expression: exp.Alias) -> str:
-1897        alias = self.sql(expression, "alias")
-1898        alias = f" AS {alias}" if alias else ""
-1899        return f"{self.sql(expression, 'this')}{alias}"
-1900
-1901    def aliases_sql(self, expression: exp.Aliases) -> str:
-1902        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
-1903
-1904    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
-1905        this = self.sql(expression, "this")
-1906        zone = self.sql(expression, "zone")
-1907        return f"{this} AT TIME ZONE {zone}"
-1908
-1909    def add_sql(self, expression: exp.Add) -> str:
-1910        return self.binary(expression, "+")
-1911
-1912    def and_sql(self, expression: exp.And) -> str:
-1913        return self.connector_sql(expression, "AND")
-1914
-1915    def connector_sql(self, expression: exp.Connector, op: str) -> str:
-1916        if not self.pretty:
-1917            return self.binary(expression, op)
-1918
-1919        sqls = tuple(
-1920            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
-1921            for i, e in enumerate(expression.flatten(unnest=False))
-1922        )
-1923
-1924        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
-1925        return f"{sep}{op} ".join(sqls)
-1926
-1927    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
-1928        return self.binary(expression, "&")
-1929
-1930    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
-1931        return self.binary(expression, "<<")
-1932
-1933    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
-1934        return f"~{self.sql(expression, 'this')}"
-1935
-1936    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
-1937        return self.binary(expression, "|")
-1938
-1939    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
-1940        return self.binary(expression, ">>")
-1941
-1942    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
-1943        return self.binary(expression, "^")
-1944
-1945    def cast_sql(self, expression: exp.Cast) -> str:
-1946        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
-1947
-1948    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
-1949        zone = self.sql(expression, "this")
-1950        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
-1951
-1952    def collate_sql(self, expression: exp.Collate) -> str:
-1953        return self.binary(expression, "COLLATE")
-1954
-1955    def command_sql(self, expression: exp.Command) -> str:
-1956        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
-1957
-1958    def comment_sql(self, expression: exp.Comment) -> str:
-1959        this = self.sql(expression, "this")
-1960        kind = expression.args["kind"]
-1961        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-1962        expression_sql = self.sql(expression, "expression")
-1963        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
-1964
-1965    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
-1966        this = self.sql(expression, "this")
-1967        delete = " DELETE" if expression.args.get("delete") else ""
-1968        recompress = self.sql(expression, "recompress")
-1969        recompress = f" RECOMPRESS {recompress}" if recompress else ""
-1970        to_disk = self.sql(expression, "to_disk")
-1971        to_disk = f" TO DISK {to_disk}" if to_disk else ""
-1972        to_volume = self.sql(expression, "to_volume")
-1973        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
-1974        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
-1975
-1976    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
-1977        where = self.sql(expression, "where")
-1978        group = self.sql(expression, "group")
-1979        aggregates = self.expressions(expression, key="aggregates")
-1980        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
-1981
-1982        if not (where or group or aggregates) and len(expression.expressions) == 1:
-1983            return f"TTL {self.expressions(expression, flat=True)}"
+1885    def neg_sql(self, expression: exp.Neg) -> str:
+1886        # This makes sure we don't convert "- - 5" to "--5", which is a comment
+1887        this_sql = self.sql(expression, "this")
+1888        sep = " " if this_sql[0] == "-" else ""
+1889        return f"-{sep}{this_sql}"
+1890
+1891    def not_sql(self, expression: exp.Not) -> str:
+1892        return f"NOT {self.sql(expression, 'this')}"
+1893
+1894    def alias_sql(self, expression: exp.Alias) -> str:
+1895        alias = self.sql(expression, "alias")
+1896        alias = f" AS {alias}" if alias else ""
+1897        return f"{self.sql(expression, 'this')}{alias}"
+1898
+1899    def aliases_sql(self, expression: exp.Aliases) -> str:
+1900        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
+1901
+1902    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
+1903        this = self.sql(expression, "this")
+1904        zone = self.sql(expression, "zone")
+1905        return f"{this} AT TIME ZONE {zone}"
+1906
+1907    def add_sql(self, expression: exp.Add) -> str:
+1908        return self.binary(expression, "+")
+1909
+1910    def and_sql(self, expression: exp.And) -> str:
+1911        return self.connector_sql(expression, "AND")
+1912
+1913    def connector_sql(self, expression: exp.Connector, op: str) -> str:
+1914        if not self.pretty:
+1915            return self.binary(expression, op)
+1916
+1917        sqls = tuple(
+1918            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
+1919            for i, e in enumerate(expression.flatten(unnest=False))
+1920        )
+1921
+1922        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
+1923        return f"{sep}{op} ".join(sqls)
+1924
+1925    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
+1926        return self.binary(expression, "&")
+1927
+1928    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
+1929        return self.binary(expression, "<<")
+1930
+1931    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
+1932        return f"~{self.sql(expression, 'this')}"
+1933
+1934    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
+1935        return self.binary(expression, "|")
+1936
+1937    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
+1938        return self.binary(expression, ">>")
+1939
+1940    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
+1941        return self.binary(expression, "^")
+1942
+1943    def cast_sql(self, expression: exp.Cast) -> str:
+1944        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+1945
+1946    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
+1947        zone = self.sql(expression, "this")
+1948        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
+1949
+1950    def collate_sql(self, expression: exp.Collate) -> str:
+1951        return self.binary(expression, "COLLATE")
+1952
+1953    def command_sql(self, expression: exp.Command) -> str:
+1954        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
+1955
+1956    def comment_sql(self, expression: exp.Comment) -> str:
+1957        this = self.sql(expression, "this")
+1958        kind = expression.args["kind"]
+1959        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+1960        expression_sql = self.sql(expression, "expression")
+1961        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
+1962
+1963    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
+1964        this = self.sql(expression, "this")
+1965        delete = " DELETE" if expression.args.get("delete") else ""
+1966        recompress = self.sql(expression, "recompress")
+1967        recompress = f" RECOMPRESS {recompress}" if recompress else ""
+1968        to_disk = self.sql(expression, "to_disk")
+1969        to_disk = f" TO DISK {to_disk}" if to_disk else ""
+1970        to_volume = self.sql(expression, "to_volume")
+1971        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
+1972        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
+1973
+1974    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
+1975        where = self.sql(expression, "where")
+1976        group = self.sql(expression, "group")
+1977        aggregates = self.expressions(expression, key="aggregates")
+1978        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
+1979
+1980        if not (where or group or aggregates) and len(expression.expressions) == 1:
+1981            return f"TTL {self.expressions(expression, flat=True)}"
+1982
+1983        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
 1984
-1985        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
-1986
-1987    def transaction_sql(self, expression: exp.Transaction) -> str:
-1988        return "BEGIN"
-1989
-1990    def commit_sql(self, expression: exp.Commit) -> str:
-1991        chain = expression.args.get("chain")
-1992        if chain is not None:
-1993            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+1985    def transaction_sql(self, expression: exp.Transaction) -> str:
+1986        return "BEGIN"
+1987
+1988    def commit_sql(self, expression: exp.Commit) -> str:
+1989        chain = expression.args.get("chain")
+1990        if chain is not None:
+1991            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+1992
+1993        return f"COMMIT{chain or ''}"
 1994
-1995        return f"COMMIT{chain or ''}"
-1996
-1997    def rollback_sql(self, expression: exp.Rollback) -> str:
-1998        savepoint = expression.args.get("savepoint")
-1999        savepoint = f" TO {savepoint}" if savepoint else ""
-2000        return f"ROLLBACK{savepoint}"
-2001
-2002    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
-2003        this = self.sql(expression, "this")
-2004
-2005        dtype = self.sql(expression, "dtype")
-2006        if dtype:
-2007            collate = self.sql(expression, "collate")
-2008            collate = f" COLLATE {collate}" if collate else ""
-2009            using = self.sql(expression, "using")
-2010            using = f" USING {using}" if using else ""
-2011            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
-2012
-2013        default = self.sql(expression, "default")
-2014        if default:
-2015            return f"ALTER COLUMN {this} SET DEFAULT {default}"
-2016
-2017        if not expression.args.get("drop"):
-2018            self.unsupported("Unsupported ALTER COLUMN syntax")
+1995    def rollback_sql(self, expression: exp.Rollback) -> str:
+1996        savepoint = expression.args.get("savepoint")
+1997        savepoint = f" TO {savepoint}" if savepoint else ""
+1998        return f"ROLLBACK{savepoint}"
+1999
+2000    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
+2001        this = self.sql(expression, "this")
+2002
+2003        dtype = self.sql(expression, "dtype")
+2004        if dtype:
+2005            collate = self.sql(expression, "collate")
+2006            collate = f" COLLATE {collate}" if collate else ""
+2007            using = self.sql(expression, "using")
+2008            using = f" USING {using}" if using else ""
+2009            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
+2010
+2011        default = self.sql(expression, "default")
+2012        if default:
+2013            return f"ALTER COLUMN {this} SET DEFAULT {default}"
+2014
+2015        if not expression.args.get("drop"):
+2016            self.unsupported("Unsupported ALTER COLUMN syntax")
+2017
+2018        return f"ALTER COLUMN {this} DROP DEFAULT"
 2019
-2020        return f"ALTER COLUMN {this} DROP DEFAULT"
-2021
-2022    def renametable_sql(self, expression: exp.RenameTable) -> str:
-2023        if not self.RENAME_TABLE_WITH_DB:
-2024            # Remove db from tables
-2025            expression = expression.transform(
-2026                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
-2027            )
-2028        this = self.sql(expression, "this")
-2029        return f"RENAME TO {this}"
-2030
-2031    def altertable_sql(self, expression: exp.AlterTable) -> str:
-2032        actions = expression.args["actions"]
-2033
-2034        if isinstance(actions[0], exp.ColumnDef):
-2035            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
-2036        elif isinstance(actions[0], exp.Schema):
-2037            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
-2038        elif isinstance(actions[0], exp.Delete):
-2039            actions = self.expressions(expression, key="actions", flat=True)
-2040        else:
-2041            actions = self.expressions(expression, key="actions")
-2042
-2043        exists = " IF EXISTS" if expression.args.get("exists") else ""
-2044        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
-2045
-2046    def droppartition_sql(self, expression: exp.DropPartition) -> str:
-2047        expressions = self.expressions(expression)
-2048        exists = " IF EXISTS " if expression.args.get("exists") else " "
-2049        return f"DROP{exists}{expressions}"
-2050
-2051    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
-2052        this = self.sql(expression, "this")
-2053        expression_ = self.sql(expression, "expression")
-2054        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
-2055
-2056        enforced = expression.args.get("enforced")
-2057        if enforced is not None:
-2058            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2020    def renametable_sql(self, expression: exp.RenameTable) -> str:
+2021        if not self.RENAME_TABLE_WITH_DB:
+2022            # Remove db from tables
+2023            expression = expression.transform(
+2024                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
+2025            )
+2026        this = self.sql(expression, "this")
+2027        return f"RENAME TO {this}"
+2028
+2029    def altertable_sql(self, expression: exp.AlterTable) -> str:
+2030        actions = expression.args["actions"]
+2031
+2032        if isinstance(actions[0], exp.ColumnDef):
+2033            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
+2034        elif isinstance(actions[0], exp.Schema):
+2035            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
+2036        elif isinstance(actions[0], exp.Delete):
+2037            actions = self.expressions(expression, key="actions", flat=True)
+2038        else:
+2039            actions = self.expressions(expression, key="actions")
+2040
+2041        exists = " IF EXISTS" if expression.args.get("exists") else ""
+2042        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+2043
+2044    def droppartition_sql(self, expression: exp.DropPartition) -> str:
+2045        expressions = self.expressions(expression)
+2046        exists = " IF EXISTS " if expression.args.get("exists") else " "
+2047        return f"DROP{exists}{expressions}"
+2048
+2049    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
+2050        this = self.sql(expression, "this")
+2051        expression_ = self.sql(expression, "expression")
+2052        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
+2053
+2054        enforced = expression.args.get("enforced")
+2055        if enforced is not None:
+2056            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2057
+2058        return f"{add_constraint} {expression_}"
 2059
-2060        return f"{add_constraint} {expression_}"
-2061
-2062    def distinct_sql(self, expression: exp.Distinct) -> str:
-2063        this = self.expressions(expression, flat=True)
-2064        this = f" {this}" if this else ""
-2065
-2066        on = self.sql(expression, "on")
-2067        on = f" ON {on}" if on else ""
-2068        return f"DISTINCT{this}{on}"
-2069
-2070    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
-2071        return f"{self.sql(expression, 'this')} IGNORE NULLS"
-2072
-2073    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
-2074        return f"{self.sql(expression, 'this')} RESPECT NULLS"
-2075
-2076    def intdiv_sql(self, expression: exp.IntDiv) -> str:
-2077        return self.sql(
-2078            exp.Cast(
-2079                this=exp.Div(this=expression.this, expression=expression.expression),
-2080                to=exp.DataType(this=exp.DataType.Type.INT),
-2081            )
-2082        )
-2083
-2084    def dpipe_sql(self, expression: exp.DPipe) -> str:
-2085        return self.binary(expression, "||")
-2086
-2087    def div_sql(self, expression: exp.Div) -> str:
-2088        return self.binary(expression, "/")
-2089
-2090    def overlaps_sql(self, expression: exp.Overlaps) -> str:
-2091        return self.binary(expression, "OVERLAPS")
-2092
-2093    def distance_sql(self, expression: exp.Distance) -> str:
-2094        return self.binary(expression, "<->")
-2095
-2096    def dot_sql(self, expression: exp.Dot) -> str:
-2097        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
-2098
-2099    def eq_sql(self, expression: exp.EQ) -> str:
-2100        return self.binary(expression, "=")
-2101
-2102    def escape_sql(self, expression: exp.Escape) -> str:
-2103        return self.binary(expression, "ESCAPE")
-2104
-2105    def glob_sql(self, expression: exp.Glob) -> str:
-2106        return self.binary(expression, "GLOB")
-2107
-2108    def gt_sql(self, expression: exp.GT) -> str:
-2109        return self.binary(expression, ">")
-2110
-2111    def gte_sql(self, expression: exp.GTE) -> str:
-2112        return self.binary(expression, ">=")
-2113
-2114    def ilike_sql(self, expression: exp.ILike) -> str:
-2115        return self.binary(expression, "ILIKE")
-2116
-2117    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
-2118        return self.binary(expression, "ILIKE ANY")
-2119
-2120    def is_sql(self, expression: exp.Is) -> str:
-2121        return self.binary(expression, "IS")
-2122
-2123    def like_sql(self, expression: exp.Like) -> str:
-2124        return self.binary(expression, "LIKE")
-2125
-2126    def likeany_sql(self, expression: exp.LikeAny) -> str:
-2127        return self.binary(expression, "LIKE ANY")
-2128
-2129    def similarto_sql(self, expression: exp.SimilarTo) -> str:
-2130        return self.binary(expression, "SIMILAR TO")
-2131
-2132    def lt_sql(self, expression: exp.LT) -> str:
-2133        return self.binary(expression, "<")
-2134
-2135    def lte_sql(self, expression: exp.LTE) -> str:
-2136        return self.binary(expression, "<=")
-2137
-2138    def mod_sql(self, expression: exp.Mod) -> str:
-2139        return self.binary(expression, "%")
-2140
-2141    def mul_sql(self, expression: exp.Mul) -> str:
-2142        return self.binary(expression, "*")
-2143
-2144    def neq_sql(self, expression: exp.NEQ) -> str:
-2145        return self.binary(expression, "<>")
-2146
-2147    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
-2148        return self.binary(expression, "IS NOT DISTINCT FROM")
-2149
-2150    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
-2151        return self.binary(expression, "IS DISTINCT FROM")
-2152
-2153    def or_sql(self, expression: exp.Or) -> str:
-2154        return self.connector_sql(expression, "OR")
-2155
-2156    def slice_sql(self, expression: exp.Slice) -> str:
-2157        return self.binary(expression, ":")
-2158
-2159    def sub_sql(self, expression: exp.Sub) -> str:
-2160        return self.binary(expression, "-")
-2161
-2162    def trycast_sql(self, expression: exp.TryCast) -> str:
-2163        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
-2164
-2165    def use_sql(self, expression: exp.Use) -> str:
-2166        kind = self.sql(expression, "kind")
-2167        kind = f" {kind}" if kind else ""
-2168        this = self.sql(expression, "this")
-2169        this = f" {this}" if this else ""
-2170        return f"USE{kind}{this}"
-2171
-2172    def binary(self, expression: exp.Binary, op: str) -> str:
-2173        op = self.maybe_comment(op, comments=expression.comments)
-2174        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
-2175
-2176    def function_fallback_sql(self, expression: exp.Func) -> str:
-2177        args = []
-2178        for arg_value in expression.args.values():
-2179            if isinstance(arg_value, list):
-2180                for value in arg_value:
-2181                    args.append(value)
-2182            else:
-2183                args.append(arg_value)
+2060    def distinct_sql(self, expression: exp.Distinct) -> str:
+2061        this = self.expressions(expression, flat=True)
+2062        this = f" {this}" if this else ""
+2063
+2064        on = self.sql(expression, "on")
+2065        on = f" ON {on}" if on else ""
+2066        return f"DISTINCT{this}{on}"
+2067
+2068    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
+2069        return f"{self.sql(expression, 'this')} IGNORE NULLS"
+2070
+2071    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
+2072        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+2073
+2074    def intdiv_sql(self, expression: exp.IntDiv) -> str:
+2075        return self.sql(
+2076            exp.Cast(
+2077                this=exp.Div(this=expression.this, expression=expression.expression),
+2078                to=exp.DataType(this=exp.DataType.Type.INT),
+2079            )
+2080        )
+2081
+2082    def dpipe_sql(self, expression: exp.DPipe) -> str:
+2083        return self.binary(expression, "||")
+2084
+2085    def div_sql(self, expression: exp.Div) -> str:
+2086        return self.binary(expression, "/")
+2087
+2088    def overlaps_sql(self, expression: exp.Overlaps) -> str:
+2089        return self.binary(expression, "OVERLAPS")
+2090
+2091    def distance_sql(self, expression: exp.Distance) -> str:
+2092        return self.binary(expression, "<->")
+2093
+2094    def dot_sql(self, expression: exp.Dot) -> str:
+2095        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
+2096
+2097    def eq_sql(self, expression: exp.EQ) -> str:
+2098        return self.binary(expression, "=")
+2099
+2100    def escape_sql(self, expression: exp.Escape) -> str:
+2101        return self.binary(expression, "ESCAPE")
+2102
+2103    def glob_sql(self, expression: exp.Glob) -> str:
+2104        return self.binary(expression, "GLOB")
+2105
+2106    def gt_sql(self, expression: exp.GT) -> str:
+2107        return self.binary(expression, ">")
+2108
+2109    def gte_sql(self, expression: exp.GTE) -> str:
+2110        return self.binary(expression, ">=")
+2111
+2112    def ilike_sql(self, expression: exp.ILike) -> str:
+2113        return self.binary(expression, "ILIKE")
+2114
+2115    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
+2116        return self.binary(expression, "ILIKE ANY")
+2117
+2118    def is_sql(self, expression: exp.Is) -> str:
+2119        return self.binary(expression, "IS")
+2120
+2121    def like_sql(self, expression: exp.Like) -> str:
+2122        return self.binary(expression, "LIKE")
+2123
+2124    def likeany_sql(self, expression: exp.LikeAny) -> str:
+2125        return self.binary(expression, "LIKE ANY")
+2126
+2127    def similarto_sql(self, expression: exp.SimilarTo) -> str:
+2128        return self.binary(expression, "SIMILAR TO")
+2129
+2130    def lt_sql(self, expression: exp.LT) -> str:
+2131        return self.binary(expression, "<")
+2132
+2133    def lte_sql(self, expression: exp.LTE) -> str:
+2134        return self.binary(expression, "<=")
+2135
+2136    def mod_sql(self, expression: exp.Mod) -> str:
+2137        return self.binary(expression, "%")
+2138
+2139    def mul_sql(self, expression: exp.Mul) -> str:
+2140        return self.binary(expression, "*")
+2141
+2142    def neq_sql(self, expression: exp.NEQ) -> str:
+2143        return self.binary(expression, "<>")
+2144
+2145    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
+2146        return self.binary(expression, "IS NOT DISTINCT FROM")
+2147
+2148    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
+2149        return self.binary(expression, "IS DISTINCT FROM")
+2150
+2151    def or_sql(self, expression: exp.Or) -> str:
+2152        return self.connector_sql(expression, "OR")
+2153
+2154    def slice_sql(self, expression: exp.Slice) -> str:
+2155        return self.binary(expression, ":")
+2156
+2157    def sub_sql(self, expression: exp.Sub) -> str:
+2158        return self.binary(expression, "-")
+2159
+2160    def trycast_sql(self, expression: exp.TryCast) -> str:
+2161        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+2162
+2163    def use_sql(self, expression: exp.Use) -> str:
+2164        kind = self.sql(expression, "kind")
+2165        kind = f" {kind}" if kind else ""
+2166        this = self.sql(expression, "this")
+2167        this = f" {this}" if this else ""
+2168        return f"USE{kind}{this}"
+2169
+2170    def binary(self, expression: exp.Binary, op: str) -> str:
+2171        op = self.maybe_comment(op, comments=expression.comments)
+2172        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
+2173
+2174    def function_fallback_sql(self, expression: exp.Func) -> str:
+2175        args = []
+2176        for arg_value in expression.args.values():
+2177            if isinstance(arg_value, list):
+2178                for value in arg_value:
+2179                    args.append(value)
+2180            else:
+2181                args.append(arg_value)
+2182
+2183        return self.func(expression.sql_name(), *args)
 2184
-2185        return self.func(expression.sql_name(), *args)
-2186
-2187    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
-2188        return f"{self.normalize_func(name)}({self.format_args(*args)})"
-2189
-2190    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
-2191        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
-2192        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
-2193            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
-2194        return ", ".join(arg_sqls)
-2195
-2196    def text_width(self, args: t.Iterable) -> int:
-2197        return sum(len(arg) for arg in args)
-2198
-2199    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
-2200        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
-2201
-2202    def expressions(
-2203        self,
-2204        expression: t.Optional[exp.Expression] = None,
-2205        key: t.Optional[str] = None,
-2206        sqls: t.Optional[t.List[str]] = None,
-2207        flat: bool = False,
-2208        indent: bool = True,
-2209        sep: str = ", ",
-2210        prefix: str = "",
-2211    ) -> str:
-2212        expressions = expression.args.get(key or "expressions") if expression else sqls
-2213
-2214        if not expressions:
-2215            return ""
-2216
-2217        if flat:
-2218            return sep.join(self.sql(e) for e in expressions)
+2185    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
+2186        return f"{self.normalize_func(name)}({self.format_args(*args)})"
+2187
+2188    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
+2189        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
+2190        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
+2191            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
+2192        return ", ".join(arg_sqls)
+2193
+2194    def text_width(self, args: t.Iterable) -> int:
+2195        return sum(len(arg) for arg in args)
+2196
+2197    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
+2198        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
+2199
+2200    def expressions(
+2201        self,
+2202        expression: t.Optional[exp.Expression] = None,
+2203        key: t.Optional[str] = None,
+2204        sqls: t.Optional[t.List[str]] = None,
+2205        flat: bool = False,
+2206        indent: bool = True,
+2207        sep: str = ", ",
+2208        prefix: str = "",
+2209    ) -> str:
+2210        expressions = expression.args.get(key or "expressions") if expression else sqls
+2211
+2212        if not expressions:
+2213            return ""
+2214
+2215        if flat:
+2216            return sep.join(self.sql(e) for e in expressions)
+2217
+2218        num_sqls = len(expressions)
 2219
-2220        num_sqls = len(expressions)
-2221
-2222        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
-2223        pad = " " * self.pad
-2224        stripped_sep = sep.strip()
-2225
-2226        result_sqls = []
-2227        for i, e in enumerate(expressions):
-2228            sql = self.sql(e, comment=False)
-2229            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
-2230
-2231            if self.pretty:
-2232                if self._leading_comma:
-2233                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
-2234                else:
-2235                    result_sqls.append(
-2236                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
-2237                    )
-2238            else:
-2239                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
-2240
-2241        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
-2242        return self.indent(result_sql, skip_first=False) if indent else result_sql
-2243
-2244    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
-2245        flat = flat or isinstance(expression.parent, exp.Properties)
-2246        expressions_sql = self.expressions(expression, flat=flat)
-2247        if flat:
-2248            return f"{op} {expressions_sql}"
-2249        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
-2250
-2251    def naked_property(self, expression: exp.Property) -> str:
-2252        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
-2253        if not property_name:
-2254            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
-2255        return f"{property_name} {self.sql(expression, 'this')}"
-2256
-2257    def set_operation(self, expression: exp.Expression, op: str) -> str:
-2258        this = self.sql(expression, "this")
-2259        op = self.seg(op)
-2260        return self.query_modifiers(
-2261            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
-2262        )
-2263
-2264    def tag_sql(self, expression: exp.Tag) -> str:
-2265        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
-2266
-2267    def token_sql(self, token_type: TokenType) -> str:
-2268        return self.TOKEN_MAPPING.get(token_type, token_type.name)
-2269
-2270    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
-2271        this = self.sql(expression, "this")
-2272        expressions = self.no_identify(self.expressions, expression)
-2273        expressions = (
-2274            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
-2275        )
-2276        return f"{this}{expressions}"
-2277
-2278    def joinhint_sql(self, expression: exp.JoinHint) -> str:
-2279        this = self.sql(expression, "this")
-2280        expressions = self.expressions(expression, flat=True)
-2281        return f"{this}({expressions})"
-2282
-2283    def kwarg_sql(self, expression: exp.Kwarg) -> str:
-2284        return self.binary(expression, "=>")
-2285
-2286    def when_sql(self, expression: exp.When) -> str:
-2287        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
-2288        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
-2289        condition = self.sql(expression, "condition")
-2290        condition = f" AND {condition}" if condition else ""
-2291
-2292        then_expression = expression.args.get("then")
-2293        if isinstance(then_expression, exp.Insert):
-2294            then = f"INSERT {self.sql(then_expression, 'this')}"
-2295            if "expression" in then_expression.args:
-2296                then += f" VALUES {self.sql(then_expression, 'expression')}"
-2297        elif isinstance(then_expression, exp.Update):
-2298            if isinstance(then_expression.args.get("expressions"), exp.Star):
-2299                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
-2300            else:
-2301                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
-2302        else:
-2303            then = self.sql(then_expression)
-2304        return f"WHEN {matched}{source}{condition} THEN {then}"
-2305
-2306    def merge_sql(self, expression: exp.Merge) -> str:
-2307        this = self.sql(expression, "this")
-2308        using = f"USING {self.sql(expression, 'using')}"
-2309        on = f"ON {self.sql(expression, 'on')}"
-2310        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
-2311
-2312    def tochar_sql(self, expression: exp.ToChar) -> str:
-2313        if expression.args.get("format"):
-2314            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
-2315
-2316        return self.sql(exp.cast(expression.this, "text"))
+2220        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
+2221        pad = " " * self.pad
+2222        stripped_sep = sep.strip()
+2223
+2224        result_sqls = []
+2225        for i, e in enumerate(expressions):
+2226            sql = self.sql(e, comment=False)
+2227            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
+2228
+2229            if self.pretty:
+2230                if self._leading_comma:
+2231                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
+2232                else:
+2233                    result_sqls.append(
+2234                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
+2235                    )
+2236            else:
+2237                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
+2238
+2239        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
+2240        return self.indent(result_sql, skip_first=False) if indent else result_sql
+2241
+2242    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
+2243        flat = flat or isinstance(expression.parent, exp.Properties)
+2244        expressions_sql = self.expressions(expression, flat=flat)
+2245        if flat:
+2246            return f"{op} {expressions_sql}"
+2247        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
+2248
+2249    def naked_property(self, expression: exp.Property) -> str:
+2250        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
+2251        if not property_name:
+2252            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
+2253        return f"{property_name} {self.sql(expression, 'this')}"
+2254
+2255    def set_operation(self, expression: exp.Expression, op: str) -> str:
+2256        this = self.sql(expression, "this")
+2257        op = self.seg(op)
+2258        return self.query_modifiers(
+2259            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
+2260        )
+2261
+2262    def tag_sql(self, expression: exp.Tag) -> str:
+2263        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
+2264
+2265    def token_sql(self, token_type: TokenType) -> str:
+2266        return self.TOKEN_MAPPING.get(token_type, token_type.name)
+2267
+2268    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
+2269        this = self.sql(expression, "this")
+2270        expressions = self.no_identify(self.expressions, expression)
+2271        expressions = (
+2272            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
+2273        )
+2274        return f"{this}{expressions}"
+2275
+2276    def joinhint_sql(self, expression: exp.JoinHint) -> str:
+2277        this = self.sql(expression, "this")
+2278        expressions = self.expressions(expression, flat=True)
+2279        return f"{this}({expressions})"
+2280
+2281    def kwarg_sql(self, expression: exp.Kwarg) -> str:
+2282        return self.binary(expression, "=>")
+2283
+2284    def when_sql(self, expression: exp.When) -> str:
+2285        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
+2286        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
+2287        condition = self.sql(expression, "condition")
+2288        condition = f" AND {condition}" if condition else ""
+2289
+2290        then_expression = expression.args.get("then")
+2291        if isinstance(then_expression, exp.Insert):
+2292            then = f"INSERT {self.sql(then_expression, 'this')}"
+2293            if "expression" in then_expression.args:
+2294                then += f" VALUES {self.sql(then_expression, 'expression')}"
+2295        elif isinstance(then_expression, exp.Update):
+2296            if isinstance(then_expression.args.get("expressions"), exp.Star):
+2297                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
+2298            else:
+2299                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
+2300        else:
+2301            then = self.sql(then_expression)
+2302        return f"WHEN {matched}{source}{condition} THEN {then}"
+2303
+2304    def merge_sql(self, expression: exp.Merge) -> str:
+2305        this = self.sql(expression, "this")
+2306        using = f"USING {self.sql(expression, 'using')}"
+2307        on = f"ON {self.sql(expression, 'on')}"
+2308        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
+2309
+2310    def tochar_sql(self, expression: exp.ToChar) -> str:
+2311        if expression.args.get("format"):
+2312            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2313
+2314        return self.sql(exp.cast(expression.this, "text"))
 
    
 
 
@@ -5417,6 +5416,8 @@ 
    Arguments:
    
 
  • hex_end (str):  specifies which ending character to use to delimit hex literals. Default: None.
    • 
 
  • byte_start (str):  specifies which starting character to use to delimit byte literals. Default: None.
    • 
 
  • byte_end (str):  specifies which ending character to use to delimit byte literals. Default: None.
    • 
+
  • raw_start (str):  specifies which starting character to use to delimit raw literals. Default: None.
    • 
+
  • raw_end (str):  specifies which ending character to use to delimit raw literals. Default: None.
    • 
 
  • identify (bool | str):  'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
    • 
 
  • normalize (bool):  if set to True all identifiers will lower cased
    • 
 
  • string_escape (str):  specifies a string escape character. Default: '.
    • 
@@ -5452,79 +5453,83 @@ 
    Arguments:
    
                                         
 
    
             
-        Generator(	time_mapping=None,	time_trie=None,	pretty=None,	quote_start=None,	quote_end=None,	identifier_start=None,	identifier_end=None,	bit_start=None,	bit_end=None,	hex_start=None,	hex_end=None,	byte_start=None,	byte_end=None,	identify=False,	normalize=False,	string_escape=None,	identifier_escape=None,	pad=2,	indent=2,	index_offset=0,	unnest_column_only=False,	alias_post_tablesample=False,	normalize_functions='upper',	unsupported_level=<ErrorLevel.WARN: 'WARN'>,	null_ordering=None,	max_unsupported=3,	leading_comma=False,	max_text_width=80,	comments=True)
+        Generator(	time_mapping=None,	time_trie=None,	pretty=None,	quote_start=None,	quote_end=None,	identifier_start=None,	identifier_end=None,	bit_start=None,	bit_end=None,	hex_start=None,	hex_end=None,	byte_start=None,	byte_end=None,	raw_start=None,	raw_end=None,	identify=False,	normalize=False,	string_escape=None,	identifier_escape=None,	pad=2,	indent=2,	index_offset=0,	unnest_column_only=False,	alias_post_tablesample=False,	normalize_functions='upper',	unsupported_level=<ErrorLevel.WARN: 'WARN'>,	null_ordering=None,	max_unsupported=3,	leading_comma=False,	max_text_width=80,	comments=True)
 
                 
 
     
    
     
-            
    275    def __init__(
-276        self,
-277        time_mapping=None,
-278        time_trie=None,
-279        pretty=None,
-280        quote_start=None,
-281        quote_end=None,
-282        identifier_start=None,
-283        identifier_end=None,
-284        bit_start=None,
-285        bit_end=None,
-286        hex_start=None,
-287        hex_end=None,
-288        byte_start=None,
-289        byte_end=None,
-290        identify=False,
-291        normalize=False,
-292        string_escape=None,
-293        identifier_escape=None,
-294        pad=2,
-295        indent=2,
-296        index_offset=0,
-297        unnest_column_only=False,
-298        alias_post_tablesample=False,
-299        normalize_functions="upper",
-300        unsupported_level=ErrorLevel.WARN,
-301        null_ordering=None,
-302        max_unsupported=3,
-303        leading_comma=False,
-304        max_text_width=80,
-305        comments=True,
-306    ):
-307        import sqlglot
-308
-309        self.time_mapping = time_mapping or {}
-310        self.time_trie = time_trie
-311        self.pretty = pretty if pretty is not None else sqlglot.pretty
-312        self.quote_start = quote_start or "'"
-313        self.quote_end = quote_end or "'"
-314        self.identifier_start = identifier_start or '"'
-315        self.identifier_end = identifier_end or '"'
-316        self.bit_start = bit_start
-317        self.bit_end = bit_end
-318        self.hex_start = hex_start
-319        self.hex_end = hex_end
-320        self.byte_start = byte_start
-321        self.byte_end = byte_end
-322        self.identify = identify
-323        self.normalize = normalize
-324        self.string_escape = string_escape or "'"
-325        self.identifier_escape = identifier_escape or '"'
-326        self.pad = pad
-327        self.index_offset = index_offset
-328        self.unnest_column_only = unnest_column_only
-329        self.alias_post_tablesample = alias_post_tablesample
-330        self.normalize_functions = normalize_functions
-331        self.unsupported_level = unsupported_level
-332        self.unsupported_messages = []
-333        self.max_unsupported = max_unsupported
-334        self.null_ordering = null_ordering
-335        self._indent = indent
-336        self._escaped_quote_end = self.string_escape + self.quote_end
-337        self._escaped_identifier_end = self.identifier_escape + self.identifier_end
-338        self._leading_comma = leading_comma
-339        self._max_text_width = max_text_width
-340        self._comments = comments
-341        self._cache = None
+            
    282    def __init__(
+283        self,
+284        time_mapping=None,
+285        time_trie=None,
+286        pretty=None,
+287        quote_start=None,
+288        quote_end=None,
+289        identifier_start=None,
+290        identifier_end=None,
+291        bit_start=None,
+292        bit_end=None,
+293        hex_start=None,
+294        hex_end=None,
+295        byte_start=None,
+296        byte_end=None,
+297        raw_start=None,
+298        raw_end=None,
+299        identify=False,
+300        normalize=False,
+301        string_escape=None,
+302        identifier_escape=None,
+303        pad=2,
+304        indent=2,
+305        index_offset=0,
+306        unnest_column_only=False,
+307        alias_post_tablesample=False,
+308        normalize_functions="upper",
+309        unsupported_level=ErrorLevel.WARN,
+310        null_ordering=None,
+311        max_unsupported=3,
+312        leading_comma=False,
+313        max_text_width=80,
+314        comments=True,
+315    ):
+316        import sqlglot
+317
+318        self.time_mapping = time_mapping or {}
+319        self.time_trie = time_trie
+320        self.pretty = pretty if pretty is not None else sqlglot.pretty
+321        self.quote_start = quote_start or "'"
+322        self.quote_end = quote_end or "'"
+323        self.identifier_start = identifier_start or '"'
+324        self.identifier_end = identifier_end or '"'
+325        self.bit_start = bit_start
+326        self.bit_end = bit_end
+327        self.hex_start = hex_start
+328        self.hex_end = hex_end
+329        self.byte_start = byte_start
+330        self.byte_end = byte_end
+331        self.raw_start = raw_start
+332        self.raw_end = raw_end
+333        self.identify = identify
+334        self.normalize = normalize
+335        self.string_escape = string_escape or "'"
+336        self.identifier_escape = identifier_escape or '"'
+337        self.pad = pad
+338        self.index_offset = index_offset
+339        self.unnest_column_only = unnest_column_only
+340        self.alias_post_tablesample = alias_post_tablesample
+341        self.normalize_functions = normalize_functions
+342        self.unsupported_level = unsupported_level
+343        self.unsupported_messages = []
+344        self.max_unsupported = max_unsupported
+345        self.null_ordering = null_ordering
+346        self._indent = indent
+347        self._escaped_quote_end = self.string_escape + self.quote_end
+348        self._escaped_identifier_end = self.identifier_escape + self.identifier_end
+349        self._leading_comma = leading_comma
+350        self._max_text_width = max_text_width
+351        self._comments = comments
+352        self._cache = None
 
    
 
 
@@ -5542,39 +5547,39 @@ 
    Arguments:
    
 
     
    
     
-            
    343    def generate(
-344        self,
-345        expression: t.Optional[exp.Expression],
-346        cache: t.Optional[t.Dict[int, str]] = None,
-347    ) -> str:
-348        """
-349        Generates a SQL string by interpreting the given syntax tree.
-350
-351        Args
-352            expression: the syntax tree.
-353            cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
-354
-355        Returns
-356            the SQL string.
-357        """
-358        if cache is not None:
-359            self._cache = cache
-360        self.unsupported_messages = []
-361        sql = self.sql(expression).strip()
-362        self._cache = None
-363
-364        if self.unsupported_level == ErrorLevel.IGNORE:
-365            return sql
-366
-367        if self.unsupported_level == ErrorLevel.WARN:
-368            for msg in self.unsupported_messages:
-369                logger.warning(msg)
-370        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
-371            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
-372
-373        if self.pretty:
-374            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
-375        return sql
+            
    354    def generate(
+355        self,
+356        expression: t.Optional[exp.Expression],
+357        cache: t.Optional[t.Dict[int, str]] = None,
+358    ) -> str:
+359        """
+360        Generates a SQL string by interpreting the given syntax tree.
+361
+362        Args
+363            expression: the syntax tree.
+364            cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.
+365
+366        Returns
+367            the SQL string.
+368        """
+369        if cache is not None:
+370            self._cache = cache
+371        self.unsupported_messages = []
+372        sql = self.sql(expression).strip()
+373        self._cache = None
+374
+375        if self.unsupported_level == ErrorLevel.IGNORE:
+376            return sql
+377
+378        if self.unsupported_level == ErrorLevel.WARN:
+379            for msg in self.unsupported_messages:
+380                logger.warning(msg)
+381        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
+382            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
+383
+384        if self.pretty:
+385            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
+386        return sql
 
    
 
 
@@ -5601,10 +5606,10 @@ 
    Arguments:
    
 
     
    
     
-            
    377    def unsupported(self, message: str) -> None:
-378        if self.unsupported_level == ErrorLevel.IMMEDIATE:
-379            raise UnsupportedError(message)
-380        self.unsupported_messages.append(message)
+            
    388    def unsupported(self, message: str) -> None:
+389        if self.unsupported_level == ErrorLevel.IMMEDIATE:
+390            raise UnsupportedError(message)
+391        self.unsupported_messages.append(message)
 
    
 
 
@@ -5622,8 +5627,8 @@ 
    Arguments:
    
 
     
    
     
-            
    382    def sep(self, sep: str = " ") -> str:
-383        return f"{sep.strip()}\n" if self.pretty else sep
+            
    393    def sep(self, sep: str = " ") -> str:
+394        return f"{sep.strip()}\n" if self.pretty else sep
 
    
 
 
@@ -5641,8 +5646,8 @@ 
    Arguments:
    
 
     
    
     
-            
    385    def seg(self, sql: str, sep: str = " ") -> str:
-386        return f"{self.sep(sep)}{sql}"
+            
    396    def seg(self, sql: str, sep: str = " ") -> str:
+397        return f"{self.sep(sep)}{sql}"
 
    
 
 
@@ -5660,10 +5665,10 @@ 
    Arguments:
    
 
     
    
     
-            
    388    def pad_comment(self, comment: str) -> str:
-389        comment = " " + comment if comment[0].strip() else comment
-390        comment = comment + " " if comment[-1].strip() else comment
-391        return comment
+            
    399    def pad_comment(self, comment: str) -> str:
+400        comment = " " + comment if comment[0].strip() else comment
+401        comment = comment + " " if comment[-1].strip() else comment
+402        return comment
 
    
 
 
@@ -5681,33 +5686,33 @@ 
    Arguments:
    
 
     
    
     
-            
    393    def maybe_comment(
-394        self,
-395        sql: str,
-396        expression: t.Optional[exp.Expression] = None,
-397        comments: t.Optional[t.List[str]] = None,
-398    ) -> str:
-399        comments = ((expression and expression.comments) if comments is None else comments) if self._comments else None  # type: ignore
-400
-401        if not comments or isinstance(expression, exp.Binary):
-402            return sql
-403
-404        sep = "\n" if self.pretty else " "
-405        comments_sql = sep.join(
-406            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
-407        )
-408
-409        if not comments_sql:
-410            return sql
+            
    404    def maybe_comment(
+405        self,
+406        sql: str,
+407        expression: t.Optional[exp.Expression] = None,
+408        comments: t.Optional[t.List[str]] = None,
+409    ) -> str:
+410        comments = ((expression and expression.comments) if comments is None else comments) if self._comments else None  # type: ignore
 411
-412        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
-413            return (
-414                f"{self.sep()}{comments_sql}{sql}"
-415                if sql[0].isspace()
-416                else f"{comments_sql}{self.sep()}{sql}"
-417            )
-418
-419        return f"{sql} {comments_sql}"
+412        if not comments or isinstance(expression, exp.Binary):
+413            return sql
+414
+415        sep = "\n" if self.pretty else " "
+416        comments_sql = sep.join(
+417            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
+418        )
+419
+420        if not comments_sql:
+421            return sql
+422
+423        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
+424            return (
+425                f"{self.sep()}{comments_sql}{sql}"
+426                if sql[0].isspace()
+427                else f"{comments_sql}{self.sep()}{sql}"
+428            )
+429
+430        return f"{sql} {comments_sql}"
 
    
 
 
@@ -5725,15 +5730,15 @@ 
    Arguments:
    
 
     
    
     
-            
    421    def wrap(self, expression: exp.Expression | str) -> str:
-422        this_sql = self.indent(
-423            self.sql(expression)
-424            if isinstance(expression, (exp.Select, exp.Union))
-425            else self.sql(expression, "this"),
-426            level=1,
-427            pad=0,
-428        )
-429        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
+            
    432    def wrap(self, expression: exp.Expression | str) -> str:
+433        this_sql = self.indent(
+434            self.sql(expression)
+435            if isinstance(expression, (exp.Select, exp.Union))
+436            else self.sql(expression, "this"),
+437            level=1,
+438            pad=0,
+439        )
+440        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
 
    
 
 
@@ -5751,12 +5756,12 @@ 
    Arguments:
    
 
     
    
     
-            
    431    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
-432        original = self.identify
-433        self.identify = False
-434        result = func(*args, **kwargs)
-435        self.identify = original
-436        return result
+            
    442    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
+443        original = self.identify
+444        self.identify = False
+445        result = func(*args, **kwargs)
+446        self.identify = original
+447        return result
 
    
 
 
@@ -5774,12 +5779,12 @@ 
    Arguments:
    
 
     
    
     
-            
    438    def normalize_func(self, name: str) -> str:
-439        if self.normalize_functions == "upper":
-440            return name.upper()
-441        if self.normalize_functions == "lower":
-442            return name.lower()
-443        return name
+            
    449    def normalize_func(self, name: str) -> str:
+450        if self.normalize_functions == "upper":
+451            return name.upper()
+452        if self.normalize_functions == "lower":
+453            return name.lower()
+454        return name
 
    
 
 
@@ -5797,26 +5802,26 @@ 
    Arguments:
    
 
     
    
     
-            
    445    def indent(
-446        self,
-447        sql: str,
-448        level: int = 0,
-449        pad: t.Optional[int] = None,
-450        skip_first: bool = False,
-451        skip_last: bool = False,
-452    ) -> str:
-453        if not self.pretty:
-454            return sql
-455
-456        pad = self.pad if pad is None else pad
-457        lines = sql.split("\n")
-458
-459        return "\n".join(
-460            line
-461            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
-462            else f"{' ' * (level * self._indent + pad)}{line}"
-463            for i, line in enumerate(lines)
-464        )
+            
    456    def indent(
+457        self,
+458        sql: str,
+459        level: int = 0,
+460        pad: t.Optional[int] = None,
+461        skip_first: bool = False,
+462        skip_last: bool = False,
+463    ) -> str:
+464        if not self.pretty:
+465            return sql
+466
+467        pad = self.pad if pad is None else pad
+468        lines = sql.split("\n")
+469
+470        return "\n".join(
+471            line
+472            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
+473            else f"{' ' * (level * self._indent + pad)}{line}"
+474            for i, line in enumerate(lines)
+475        )
 
    
 
 
@@ -5834,52 +5839,52 @@ 
    Arguments:
    
 
     
    
     
-            
    466    def sql(
-467        self,
-468        expression: t.Optional[str | exp.Expression],
-469        key: t.Optional[str] = None,
-470        comment: bool = True,
-471    ) -> str:
-472        if not expression:
-473            return ""
-474
-475        if isinstance(expression, str):
-476            return expression
-477
-478        if key:
-479            return self.sql(expression.args.get(key))
-480
-481        if self._cache is not None:
-482            expression_id = hash(expression)
-483
-484            if expression_id in self._cache:
-485                return self._cache[expression_id]
-486
-487        transform = self.TRANSFORMS.get(expression.__class__)
+            
    477    def sql(
+478        self,
+479        expression: t.Optional[str | exp.Expression],
+480        key: t.Optional[str] = None,
+481        comment: bool = True,
+482    ) -> str:
+483        if not expression:
+484            return ""
+485
+486        if isinstance(expression, str):
+487            return expression
 488
-489        if callable(transform):
-490            sql = transform(self, expression)
-491        elif transform:
-492            sql = transform
-493        elif isinstance(expression, exp.Expression):
-494            exp_handler_name = f"{expression.key}_sql"
-495
-496            if hasattr(self, exp_handler_name):
-497                sql = getattr(self, exp_handler_name)(expression)
-498            elif isinstance(expression, exp.Func):
-499                sql = self.function_fallback_sql(expression)
-500            elif isinstance(expression, exp.Property):
-501                sql = self.property_sql(expression)
-502            else:
-503                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
-504        else:
-505            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
+489        if key:
+490            return self.sql(expression.args.get(key))
+491
+492        if self._cache is not None:
+493            expression_id = hash(expression)
+494
+495            if expression_id in self._cache:
+496                return self._cache[expression_id]
+497
+498        transform = self.TRANSFORMS.get(expression.__class__)
+499
+500        if callable(transform):
+501            sql = transform(self, expression)
+502        elif transform:
+503            sql = transform
+504        elif isinstance(expression, exp.Expression):
+505            exp_handler_name = f"{expression.key}_sql"
 506
-507        sql = self.maybe_comment(sql, expression) if self._comments and comment else sql
-508
-509        if self._cache is not None:
-510            self._cache[expression_id] = sql
-511        return sql
+507            if hasattr(self, exp_handler_name):
+508                sql = getattr(self, exp_handler_name)(expression)
+509            elif isinstance(expression, exp.Func):
+510                sql = self.function_fallback_sql(expression)
+511            elif isinstance(expression, exp.Property):
+512                sql = self.property_sql(expression)
+513            else:
+514                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
+515        else:
+516            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
+517
+518        sql = self.maybe_comment(sql, expression) if self._comments and comment else sql
+519
+520        if self._cache is not None:
+521            self._cache[expression_id] = sql
+522        return sql
 
    
 
 
@@ -5897,10 +5902,10 @@ 
    Arguments:
    
 
     
    
     
-            
    513    def uncache_sql(self, expression: exp.Uncache) -> str:
-514        table = self.sql(expression, "this")
-515        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
-516        return f"UNCACHE TABLE{exists_sql} {table}"
+            
    524    def uncache_sql(self, expression: exp.Uncache) -> str:
+525        table = self.sql(expression, "this")
+526        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
+527        return f"UNCACHE TABLE{exists_sql} {table}"
 
    
 
 
@@ -5918,15 +5923,15 @@ 
    Arguments:
    
 
     
    
     
-            
    518    def cache_sql(self, expression: exp.Cache) -> str:
-519        lazy = " LAZY" if expression.args.get("lazy") else ""
-520        table = self.sql(expression, "this")
-521        options = expression.args.get("options")
-522        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
-523        sql = self.sql(expression, "expression")
-524        sql = f" AS{self.sep()}{sql}" if sql else ""
-525        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
-526        return self.prepend_ctes(expression, sql)
+            
    529    def cache_sql(self, expression: exp.Cache) -> str:
+530        lazy = " LAZY" if expression.args.get("lazy") else ""
+531        table = self.sql(expression, "this")
+532        options = expression.args.get("options")
+533        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
+534        sql = self.sql(expression, "expression")
+535        sql = f" AS{self.sep()}{sql}" if sql else ""
+536        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
+537        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -5944,11 +5949,11 @@ 
    Arguments:
    
 
     
    
     
-            
    528    def characterset_sql(self, expression: exp.CharacterSet) -> str:
-529        if isinstance(expression.parent, exp.Cast):
-530            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
-531        default = "DEFAULT " if expression.args.get("default") else ""
-532        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
+            
    539    def characterset_sql(self, expression: exp.CharacterSet) -> str:
+540        if isinstance(expression.parent, exp.Cast):
+541            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
+542        default = "DEFAULT " if expression.args.get("default") else ""
+543        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
 
    
 
 
@@ -5966,17 +5971,17 @@ 
    Arguments:
    
 
     
    
     
-            
    534    def column_sql(self, expression: exp.Column) -> str:
-535        return ".".join(
-536            self.sql(part)
-537            for part in (
-538                expression.args.get("catalog"),
-539                expression.args.get("db"),
-540                expression.args.get("table"),
-541                expression.args.get("this"),
-542            )
-543            if part
-544        )
+            
    545    def column_sql(self, expression: exp.Column) -> str:
+546        return ".".join(
+547            self.sql(part)
+548            for part in (
+549                expression.args.get("catalog"),
+550                expression.args.get("db"),
+551                expression.args.get("table"),
+552                expression.args.get("this"),
+553            )
+554            if part
+555        )
 
    
 
 
@@ -5994,11 +5999,11 @@ 
    Arguments:
    
 
     
    
     
-            
    546    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
-547        this = self.sql(expression, "this")
-548        this = f" {this}" if this else ""
-549        position = self.sql(expression, "position")
-550        return f"{position}{this}"
+            
    557    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
+558        this = self.sql(expression, "this")
+559        this = f" {this}" if this else ""
+560        position = self.sql(expression, "position")
+561        return f"{position}{this}"
 
    
 
 
@@ -6016,17 +6021,17 @@ 
    Arguments:
    
 
     
    
     
-            
    552    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
-553        column = self.sql(expression, "this")
-554        kind = self.sql(expression, "kind")
-555        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
-556        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
-557        kind = f"{sep}{kind}" if kind else ""
-558        constraints = f" {constraints}" if constraints else ""
-559        position = self.sql(expression, "position")
-560        position = f" {position}" if position else ""
-561
-562        return f"{exists}{column}{kind}{constraints}{position}"
+            
    563    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
+564        column = self.sql(expression, "this")
+565        kind = self.sql(expression, "kind")
+566        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
+567        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
+568        kind = f"{sep}{kind}" if kind else ""
+569        constraints = f" {constraints}" if constraints else ""
+570        position = self.sql(expression, "position")
+571        position = f" {position}" if position else ""
+572
+573        return f"{exists}{column}{kind}{constraints}{position}"
 
    
 
 
@@ -6044,10 +6049,10 @@ 
    Arguments:
    
 
     
    
     
-            
    564    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
-565        this = self.sql(expression, "this")
-566        kind_sql = self.sql(expression, "kind").strip()
-567        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
+            
    575    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
+576        this = self.sql(expression, "this")
+577        kind_sql = self.sql(expression, "kind").strip()
+578        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
 
    
 
 
@@ -6065,8 +6070,8 @@ 
    Arguments:
    
 
     
    
     
-            
    569    def autoincrementcolumnconstraint_sql(self, _) -> str:
-570        return self.token_sql(TokenType.AUTO_INCREMENT)
+            
    580    def autoincrementcolumnconstraint_sql(self, _) -> str:
+581        return self.token_sql(TokenType.AUTO_INCREMENT)
 
    
 
 
@@ -6084,13 +6089,13 @@ 
    Arguments:
    
 
     
    
     
-            
    572    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
-573        if isinstance(expression.this, list):
-574            this = self.wrap(self.expressions(expression, key="this", flat=True))
-575        else:
-576            this = self.sql(expression, "this")
-577
-578        return f"COMPRESS {this}"
+            
    583    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
+584        if isinstance(expression.this, list):
+585            this = self.wrap(self.expressions(expression, key="this", flat=True))
+586        else:
+587            this = self.sql(expression, "this")
+588
+589        return f"COMPRESS {this}"
 
    
 
 
@@ -6108,38 +6113,38 @@ 
    Arguments:
    
 
     
    
     
-            
    580    def generatedasidentitycolumnconstraint_sql(
-581        self, expression: exp.GeneratedAsIdentityColumnConstraint
-582    ) -> str:
-583        this = ""
-584        if expression.this is not None:
-585            on_null = "ON NULL " if expression.args.get("on_null") else ""
-586            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
-587
-588        start = expression.args.get("start")
-589        start = f"START WITH {start}" if start else ""
-590        increment = expression.args.get("increment")
-591        increment = f" INCREMENT BY {increment}" if increment else ""
-592        minvalue = expression.args.get("minvalue")
-593        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
-594        maxvalue = expression.args.get("maxvalue")
-595        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
-596        cycle = expression.args.get("cycle")
-597        cycle_sql = ""
+            
    591    def generatedasidentitycolumnconstraint_sql(
+592        self, expression: exp.GeneratedAsIdentityColumnConstraint
+593    ) -> str:
+594        this = ""
+595        if expression.this is not None:
+596            on_null = "ON NULL " if expression.args.get("on_null") else ""
+597            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
 598
-599        if cycle is not None:
-600            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
-601            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
-602
-603        sequence_opts = ""
-604        if start or increment or cycle_sql:
-605            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
-606            sequence_opts = f" ({sequence_opts.strip()})"
-607
-608        expr = self.sql(expression, "expression")
-609        expr = f"({expr})" if expr else "IDENTITY"
-610
-611        return f"GENERATED{this}AS {expr}{sequence_opts}"
+599        start = expression.args.get("start")
+600        start = f"START WITH {start}" if start else ""
+601        increment = expression.args.get("increment")
+602        increment = f" INCREMENT BY {increment}" if increment else ""
+603        minvalue = expression.args.get("minvalue")
+604        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
+605        maxvalue = expression.args.get("maxvalue")
+606        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
+607        cycle = expression.args.get("cycle")
+608        cycle_sql = ""
+609
+610        if cycle is not None:
+611            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
+612            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
+613
+614        sequence_opts = ""
+615        if start or increment or cycle_sql:
+616            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
+617            sequence_opts = f" ({sequence_opts.strip()})"
+618
+619        expr = self.sql(expression, "expression")
+620        expr = f"({expr})" if expr else "IDENTITY"
+621
+622        return f"GENERATED{this}AS {expr}{sequence_opts}"
 
    
 
 
@@ -6157,8 +6162,8 @@ 
    Arguments:
    
 
     
    
     
-            
    613    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
-614        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
+            
    624    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
+625        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
 
    
 
 
@@ -6176,11 +6181,11 @@ 
    Arguments:
    
 
     
    
     
-            
    616    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
-617        desc = expression.args.get("desc")
-618        if desc is not None:
-619            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
-620        return f"PRIMARY KEY"
+            
    627    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
+628        desc = expression.args.get("desc")
+629        if desc is not None:
+630            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
+631        return f"PRIMARY KEY"
 
    
 
 
@@ -6198,8 +6203,8 @@ 
    Arguments:
    
 
     
    
     
-            
    622    def uniquecolumnconstraint_sql(self, _) -> str:
-623        return "UNIQUE"
+            
    633    def uniquecolumnconstraint_sql(self, _) -> str:
+634        return "UNIQUE"
 
    
 
 
@@ -6217,123 +6222,99 @@ 
    Arguments:
    
 
     
    
     
-            
    625    def create_sql(self, expression: exp.Create) -> str:
-626        kind = self.sql(expression, "kind").upper()
-627        properties = expression.args.get("properties")
-628        properties_exp = expression.copy()
-629        properties_locs = self.locate_properties(properties) if properties else {}
-630        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
-631            exp.Properties.Location.POST_WITH
-632        ):
-633            properties_exp.set(
-634                "properties",
-635                exp.Properties(
-636                    expressions=[
-637                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
-638                        *properties_locs[exp.Properties.Location.POST_WITH],
-639                    ]
-640                ),
-641            )
-642        if kind == "TABLE" and properties_locs.get(exp.Properties.Location.POST_NAME):
-643            this_name = self.sql(expression.this, "this")
-644            this_properties = self.properties(
-645                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_NAME]),
-646                wrapped=False,
-647            )
-648            this_schema = f"({self.expressions(expression.this)})"
-649            this = f"{this_name}, {this_properties} {this_schema}"
-650            properties_sql = ""
-651        else:
-652            this = self.sql(expression, "this")
-653            properties_sql = self.sql(properties_exp, "properties")
-654        begin = " BEGIN" if expression.args.get("begin") else ""
-655        expression_sql = self.sql(expression, "expression")
-656        if expression_sql:
-657            expression_sql = f"{begin}{self.sep()}{expression_sql}"
-658
-659            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
-660                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
-661                    postalias_props_sql = self.properties(
-662                        exp.Properties(
-663                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
-664                        ),
-665                        wrapped=False,
-666                    )
-667                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
-668                else:
-669                    expression_sql = f" AS{expression_sql}"
-670
-671        postindex_props_sql = ""
-672        if properties_locs.get(exp.Properties.Location.POST_INDEX):
-673            postindex_props_sql = self.properties(
-674                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
-675                wrapped=False,
-676                prefix=" ",
-677            )
-678
-679        indexes = expression.args.get("indexes")
-680        if indexes:
-681            indexes_sql: t.List[str] = []
-682            for index in indexes:
-683                ind_unique = " UNIQUE" if index.args.get("unique") else ""
-684                ind_primary = " PRIMARY" if index.args.get("primary") else ""
-685                ind_amp = " AMP" if index.args.get("amp") else ""
-686                ind_name = f" {index.name}" if index.name else ""
-687                ind_columns = (
-688                    f' ({self.expressions(index, key="columns", flat=True)})'
-689                    if index.args.get("columns")
-690                    else ""
-691                )
-692                ind_sql = f"{ind_unique}{ind_primary}{ind_amp} INDEX{ind_name}{ind_columns}"
+            
    636    def create_sql(self, expression: exp.Create) -> str:
+637        kind = self.sql(expression, "kind").upper()
+638        properties = expression.args.get("properties")
+639        properties_exp = expression.copy()
+640        properties_locs = self.locate_properties(properties) if properties else {}
+641        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
+642            exp.Properties.Location.POST_WITH
+643        ):
+644            properties_exp.set(
+645                "properties",
+646                exp.Properties(
+647                    expressions=[
+648                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
+649                        *properties_locs[exp.Properties.Location.POST_WITH],
+650                    ]
+651                ),
+652            )
+653        if kind == "TABLE" and properties_locs.get(exp.Properties.Location.POST_NAME):
+654            this_name = self.sql(expression.this, "this")
+655            this_properties = self.properties(
+656                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_NAME]),
+657                wrapped=False,
+658            )
+659            this_schema = f"({self.expressions(expression.this)})"
+660            this = f"{this_name}, {this_properties} {this_schema}"
+661            properties_sql = ""
+662        else:
+663            this = self.sql(expression, "this")
+664            properties_sql = self.sql(properties_exp, "properties")
+665        begin = " BEGIN" if expression.args.get("begin") else ""
+666        expression_sql = self.sql(expression, "expression")
+667        if expression_sql:
+668            expression_sql = f"{begin}{self.sep()}{expression_sql}"
+669
+670            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
+671                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
+672                    postalias_props_sql = self.properties(
+673                        exp.Properties(
+674                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
+675                        ),
+676                        wrapped=False,
+677                    )
+678                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
+679                else:
+680                    expression_sql = f" AS{expression_sql}"
+681
+682        postindex_props_sql = ""
+683        if properties_locs.get(exp.Properties.Location.POST_INDEX):
+684            postindex_props_sql = self.properties(
+685                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
+686                wrapped=False,
+687                prefix=" ",
+688            )
+689
+690        indexes = self.expressions(expression, "indexes", indent=False, sep=" ")
+691        indexes = f" {indexes}" if indexes else ""
+692        index_sql = indexes + postindex_props_sql
 693
-694                if indexes_sql:
-695                    indexes_sql.append(ind_sql)
-696                else:
-697                    indexes_sql.append(
-698                        f"{ind_sql}{postindex_props_sql}"
-699                        if index.args.get("primary")
-700                        else f"{postindex_props_sql}{ind_sql}"
-701                    )
-702
-703            index_sql = "".join(indexes_sql)
-704        else:
-705            index_sql = postindex_props_sql
-706
-707        replace = " OR REPLACE" if expression.args.get("replace") else ""
-708        unique = " UNIQUE" if expression.args.get("unique") else ""
-709
-710        postcreate_props_sql = ""
-711        if properties_locs.get(exp.Properties.Location.POST_CREATE):
-712            postcreate_props_sql = self.properties(
-713                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+694        replace = " OR REPLACE" if expression.args.get("replace") else ""
+695        unique = " UNIQUE" if expression.args.get("unique") else ""
+696
+697        postcreate_props_sql = ""
+698        if properties_locs.get(exp.Properties.Location.POST_CREATE):
+699            postcreate_props_sql = self.properties(
+700                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+701                sep=" ",
+702                prefix=" ",
+703                wrapped=False,
+704            )
+705
+706        modifiers = "".join((replace, unique, postcreate_props_sql))
+707
+708        postexpression_props_sql = ""
+709        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
+710            postexpression_props_sql = self.properties(
+711                exp.Properties(
+712                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
+713                ),
 714                sep=" ",
 715                prefix=" ",
 716                wrapped=False,
 717            )
 718
-719        modifiers = "".join((replace, unique, postcreate_props_sql))
-720
-721        postexpression_props_sql = ""
-722        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
-723            postexpression_props_sql = self.properties(
-724                exp.Properties(
-725                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
-726                ),
-727                sep=" ",
-728                prefix=" ",
-729                wrapped=False,
-730            )
-731
-732        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
-733        no_schema_binding = (
-734            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
-735        )
-736
-737        clone = self.sql(expression, "clone")
-738        clone = f" {clone}" if clone else ""
-739
-740        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
-741        return self.prepend_ctes(expression, expression_sql)
+719        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
+720        no_schema_binding = (
+721            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
+722        )
+723
+724        clone = self.sql(expression, "clone")
+725        clone = f" {clone}" if clone else ""
+726
+727        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
+728        return self.prepend_ctes(expression, expression_sql)
 
    
 
 
@@ -6351,16 +6332,16 @@ 
    Arguments:
    
 
     
    
     
-            
    743    def clone_sql(self, expression: exp.Clone) -> str:
-744        this = self.sql(expression, "this")
-745        when = self.sql(expression, "when")
-746
-747        if when:
-748            kind = self.sql(expression, "kind")
-749            expr = self.sql(expression, "expression")
-750            return f"CLONE {this} {when} ({kind} => {expr})"
-751
-752        return f"CLONE {this}"
+            
    730    def clone_sql(self, expression: exp.Clone) -> str:
+731        this = self.sql(expression, "this")
+732        when = self.sql(expression, "when")
+733
+734        if when:
+735            kind = self.sql(expression, "kind")
+736            expr = self.sql(expression, "expression")
+737            return f"CLONE {this} {when} ({kind} => {expr})"
+738
+739        return f"CLONE {this}"
 
    
 
 
@@ -6378,8 +6359,8 @@ 
    Arguments:
    
 
     
    
     
-            
    754    def describe_sql(self, expression: exp.Describe) -> str:
-755        return f"DESCRIBE {self.sql(expression, 'this')}"
+            
    741    def describe_sql(self, expression: exp.Describe) -> str:
+742        return f"DESCRIBE {self.sql(expression, 'this')}"
 
    
 
 
@@ -6397,11 +6378,11 @@ 
    Arguments:
    
 
     
    
     
-            
    757    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
-758        with_ = self.sql(expression, "with")
-759        if with_:
-760            sql = f"{with_}{self.sep()}{sql}"
-761        return sql
+            
    744    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
+745        with_ = self.sql(expression, "with")
+746        if with_:
+747            sql = f"{with_}{self.sep()}{sql}"
+748        return sql
 
    
 
 
@@ -6419,11 +6400,11 @@ 
    Arguments:
    
 
     
    
     
-            
    763    def with_sql(self, expression: exp.With) -> str:
-764        sql = self.expressions(expression, flat=True)
-765        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
-766
-767        return f"WITH {recursive}{sql}"
+            
    750    def with_sql(self, expression: exp.With) -> str:
+751        sql = self.expressions(expression, flat=True)
+752        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
+753
+754        return f"WITH {recursive}{sql}"
 
    
 
 
@@ -6441,9 +6422,9 @@ 
    Arguments:
    
 
     
    
     
-            
    769    def cte_sql(self, expression: exp.CTE) -> str:
-770        alias = self.sql(expression, "alias")
-771        return f"{alias} AS {self.wrap(expression)}"
+            
    756    def cte_sql(self, expression: exp.CTE) -> str:
+757        alias = self.sql(expression, "alias")
+758        return f"{alias} AS {self.wrap(expression)}"
 
    
 
 
@@ -6461,11 +6442,11 @@ 
    Arguments:
    
 
     
    
     
-            
    773    def tablealias_sql(self, expression: exp.TableAlias) -> str:
-774        alias = self.sql(expression, "this")
-775        columns = self.expressions(expression, key="columns", flat=True)
-776        columns = f"({columns})" if columns else ""
-777        return f"{alias}{columns}"
+            
    760    def tablealias_sql(self, expression: exp.TableAlias) -> str:
+761        alias = self.sql(expression, "this")
+762        columns = self.expressions(expression, key="columns", flat=True)
+763        columns = f"({columns})" if columns else ""
+764        return f"{alias}{columns}"
 
    
 
 
@@ -6483,11 +6464,11 @@ 
    Arguments:
    
 
     
    
     
-            
    779    def bitstring_sql(self, expression: exp.BitString) -> str:
-780        this = self.sql(expression, "this")
-781        if self.bit_start:
-782            return f"{self.bit_start}{this}{self.bit_end}"
-783        return f"{int(this, 2)}"
+            
    766    def bitstring_sql(self, expression: exp.BitString) -> str:
+767        this = self.sql(expression, "this")
+768        if self.bit_start:
+769            return f"{self.bit_start}{this}{self.bit_end}"
+770        return f"{int(this, 2)}"
 
    
 
 
@@ -6505,11 +6486,11 @@ 
    Arguments:
    
 
     
    
     
-            
    785    def hexstring_sql(self, expression: exp.HexString) -> str:
-786        this = self.sql(expression, "this")
-787        if self.hex_start:
-788            return f"{self.hex_start}{this}{self.hex_end}"
-789        return f"{int(this, 16)}"
+            
    772    def hexstring_sql(self, expression: exp.HexString) -> str:
+773        this = self.sql(expression, "this")
+774        if self.hex_start:
+775            return f"{self.hex_start}{this}{self.hex_end}"
+776        return f"{int(this, 16)}"
 
    
 
 
@@ -6527,11 +6508,32 @@ 
    Arguments:
    
 
     
    
     
-            
    791    def bytestring_sql(self, expression: exp.ByteString) -> str:
-792        this = self.sql(expression, "this")
-793        if self.byte_start:
-794            return f"{self.byte_start}{this}{self.byte_end}"
-795        return this
+            
    778    def bytestring_sql(self, expression: exp.ByteString) -> str:
+779        this = self.sql(expression, "this")
+780        if self.byte_start:
+781            return f"{self.byte_start}{this}{self.byte_end}"
+782        return this
+
    
+
+
+    
+
+                            
    
+                            
    
+                                        
+
    
+            
+        def
+        rawstring_sql(self, expression: sqlglot.expressions.RawString) -> str:
+
+                
+
+    
    
+    
+            
    784    def rawstring_sql(self, expression: exp.RawString) -> str:
+785        if self.raw_start:
+786            return f"{self.raw_start}{expression.name}{self.raw_end}"
+787        return self.sql(exp.Literal.string(expression.name.replace("\\", "\\\\")))
 
    
 
 
@@ -6549,11 +6551,11 @@ 
    Arguments:
    
 
     
    
     
-            
    797    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
-798        this = self.sql(expression, "this")
-799        specifier = self.sql(expression, "expression")
-800        specifier = f" {specifier}" if specifier else ""
-801        return f"{this}{specifier}"
+            
    789    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
+790        this = self.sql(expression, "this")
+791        specifier = self.sql(expression, "expression")
+792        specifier = f" {specifier}" if specifier else ""
+793        return f"{this}{specifier}"
 
    
 
 
@@ -6571,22 +6573,22 @@ 
    Arguments:
    
 
     
    
     
-            
    803    def datatype_sql(self, expression: exp.DataType) -> str:
-804        type_value = expression.this
-805        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
-806        nested = ""
-807        interior = self.expressions(expression, flat=True)
-808        values = ""
-809        if interior:
-810            if expression.args.get("nested"):
-811                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
-812                if expression.args.get("values") is not None:
-813                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
-814                    values = f"{delimiters[0]}{self.expressions(expression, key='values')}{delimiters[1]}"
-815            else:
-816                nested = f"({interior})"
-817
-818        return f"{type_sql}{nested}{values}"
+            
    795    def datatype_sql(self, expression: exp.DataType) -> str:
+796        type_value = expression.this
+797        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
+798        nested = ""
+799        interior = self.expressions(expression, flat=True)
+800        values = ""
+801        if interior:
+802            if expression.args.get("nested"):
+803                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
+804                if expression.args.get("values") is not None:
+805                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
+806                    values = f"{delimiters[0]}{self.expressions(expression, key='values')}{delimiters[1]}"
+807            else:
+808                nested = f"({interior})"
+809
+810        return f"{type_sql}{nested}{values}"
 
    
 
 
@@ -6604,11 +6606,11 @@ 
    Arguments:
    
 
     
    
     
-            
    820    def directory_sql(self, expression: exp.Directory) -> str:
-821        local = "LOCAL " if expression.args.get("local") else ""
-822        row_format = self.sql(expression, "row_format")
-823        row_format = f" {row_format}" if row_format else ""
-824        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
+            
    812    def directory_sql(self, expression: exp.Directory) -> str:
+813        local = "LOCAL " if expression.args.get("local") else ""
+814        row_format = self.sql(expression, "row_format")
+815        row_format = f" {row_format}" if row_format else ""
+816        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
 
    
 
 
@@ -6626,18 +6628,18 @@ 
    Arguments:
    
 
     
    
     
-            
    826    def delete_sql(self, expression: exp.Delete) -> str:
-827        this = self.sql(expression, "this")
-828        this = f" FROM {this}" if this else ""
-829        using_sql = (
-830            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
-831            if expression.args.get("using")
-832            else ""
-833        )
-834        where_sql = self.sql(expression, "where")
-835        returning = self.sql(expression, "returning")
-836        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
-837        return self.prepend_ctes(expression, sql)
+            
    818    def delete_sql(self, expression: exp.Delete) -> str:
+819        this = self.sql(expression, "this")
+820        this = f" FROM {this}" if this else ""
+821        using_sql = (
+822            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
+823            if expression.args.get("using")
+824            else ""
+825        )
+826        where_sql = self.sql(expression, "where")
+827        returning = self.sql(expression, "returning")
+828        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
+829        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -6655,18 +6657,18 @@ 
    Arguments:
    
 
     
    
     
-            
    839    def drop_sql(self, expression: exp.Drop) -> str:
-840        this = self.sql(expression, "this")
-841        kind = expression.args["kind"]
-842        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-843        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-844        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
-845        cascade = " CASCADE" if expression.args.get("cascade") else ""
-846        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
-847        purge = " PURGE" if expression.args.get("purge") else ""
-848        return (
-849            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
-850        )
+            
    831    def drop_sql(self, expression: exp.Drop) -> str:
+832        this = self.sql(expression, "this")
+833        kind = expression.args["kind"]
+834        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+835        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+836        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
+837        cascade = " CASCADE" if expression.args.get("cascade") else ""
+838        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
+839        purge = " PURGE" if expression.args.get("purge") else ""
+840        return (
+841            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
+842        )
 
    
 
 
@@ -6684,11 +6686,11 @@ 
    Arguments:
    
 
     
    
     
-            
    852    def except_sql(self, expression: exp.Except) -> str:
-853        return self.prepend_ctes(
-854            expression,
-855            self.set_operation(expression, self.except_op(expression)),
-856        )
+            
    844    def except_sql(self, expression: exp.Except) -> str:
+845        return self.prepend_ctes(
+846            expression,
+847            self.set_operation(expression, self.except_op(expression)),
+848        )
 
    
 
 
@@ -6706,8 +6708,8 @@ 
    Arguments:
    
 
     
    
     
-            
    858    def except_op(self, expression: exp.Except) -> str:
-859        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+            
    850    def except_op(self, expression: exp.Except) -> str:
+851        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
 
    
 
 
@@ -6725,15 +6727,15 @@ 
    Arguments:
    
 
     
    
     
-            
    861    def fetch_sql(self, expression: exp.Fetch) -> str:
-862        direction = expression.args.get("direction")
-863        direction = f" {direction.upper()}" if direction else ""
-864        count = expression.args.get("count")
-865        count = f" {count}" if count else ""
-866        if expression.args.get("percent"):
-867            count = f"{count} PERCENT"
-868        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
-869        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
+            
    853    def fetch_sql(self, expression: exp.Fetch) -> str:
+854        direction = expression.args.get("direction")
+855        direction = f" {direction.upper()}" if direction else ""
+856        count = expression.args.get("count")
+857        count = f" {count}" if count else ""
+858        if expression.args.get("percent"):
+859            count = f"{count} PERCENT"
+860        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
+861        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
 
    
 
 
@@ -6751,10 +6753,10 @@ 
    Arguments:
    
 
     
    
     
-            
    871    def filter_sql(self, expression: exp.Filter) -> str:
-872        this = self.sql(expression, "this")
-873        where = self.sql(expression, "expression")[1:]  # where has a leading space
-874        return f"{this} FILTER({where})"
+            
    863    def filter_sql(self, expression: exp.Filter) -> str:
+864        this = self.sql(expression, "this")
+865        where = self.sql(expression, "expression")[1:]  # where has a leading space
+866        return f"{this} FILTER({where})"
 
    
 
 
@@ -6772,10 +6774,10 @@ 
    Arguments:
    
 
     
    
     
-            
    876    def hint_sql(self, expression: exp.Hint) -> str:
-877        if self.sql(expression, "this"):
-878            self.unsupported("Hints are not supported")
-879        return ""
+            
    868    def hint_sql(self, expression: exp.Hint) -> str:
+869        if self.sql(expression, "this"):
+870            self.unsupported("Hints are not supported")
+871        return ""
 
    
 
 
@@ -6793,11 +6795,16 @@ 
    Arguments:
    
 
     
    
     
-            
    881    def index_sql(self, expression: exp.Index) -> str:
-882        this = self.sql(expression, "this")
-883        table = self.sql(expression, "table")
-884        columns = self.sql(expression, "columns")
-885        return f"{this} ON {table} {columns}"
+            
    873    def index_sql(self, expression: exp.Index) -> str:
+874        unique = "UNIQUE " if expression.args.get("unique") else ""
+875        primary = "PRIMARY " if expression.args.get("primary") else ""
+876        amp = "AMP " if expression.args.get("amp") else ""
+877        name = f"{expression.name} " if expression.name else ""
+878        table = self.sql(expression, "table")
+879        table = f"{self.INDEX_ON} {table} " if table else ""
+880        index = "INDEX " if not table else ""
+881        columns = self.expressions(expression, key="columns", flat=True)
+882        return f"{unique}{primary}{amp}{index}{name}{table}({columns})"
 
    
 
 
@@ -6815,18 +6822,18 @@ 
    Arguments:
    
 
     
    
     
-            
    887    def identifier_sql(self, expression: exp.Identifier) -> str:
-888        text = expression.name
-889        lower = text.lower()
-890        text = lower if self.normalize and not expression.quoted else text
-891        text = text.replace(self.identifier_end, self._escaped_identifier_end)
-892        if (
-893            expression.quoted
-894            or should_identify(text, self.identify)
-895            or lower in self.RESERVED_KEYWORDS
-896        ):
-897            text = f"{self.identifier_start}{text}{self.identifier_end}"
-898        return text
+            
    884    def identifier_sql(self, expression: exp.Identifier) -> str:
+885        text = expression.name
+886        lower = text.lower()
+887        text = lower if self.normalize and not expression.quoted else text
+888        text = text.replace(self.identifier_end, self._escaped_identifier_end)
+889        if (
+890            expression.quoted
+891            or should_identify(text, self.identify)
+892            or lower in self.RESERVED_KEYWORDS
+893        ):
+894            text = f"{self.identifier_start}{text}{self.identifier_end}"
+895        return text
 
    
 
 
@@ -6844,12 +6851,12 @@ 
    Arguments:
    
 
     
    
     
-            
    900    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
-901        input_format = self.sql(expression, "input_format")
-902        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
-903        output_format = self.sql(expression, "output_format")
-904        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
-905        return self.sep().join((input_format, output_format))
+            
    897    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
+898        input_format = self.sql(expression, "input_format")
+899        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
+900        output_format = self.sql(expression, "output_format")
+901        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
+902        return self.sep().join((input_format, output_format))
 
    
 
 
@@ -6861,14 +6868,15 @@ 
    Arguments:
    
 
    
             
         def
-        national_sql(self, expression: sqlglot.expressions.National) -> str:
+        national_sql(self, expression: sqlglot.expressions.National, prefix: str = 'N') -> str:
 
                 
 
     
    
     
-            
    907    def national_sql(self, expression: exp.National) -> str:
-908        return f"N{self.sql(expression, 'this')}"
+            
    904    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
+905        string = self.sql(exp.Literal.string(expression.name))
+906        return f"{prefix}{string}"
 
    
 
 
@@ -6886,8 +6894,8 @@ 
    Arguments:
    
 
     
    
     
-            
    910    def partition_sql(self, expression: exp.Partition) -> str:
-911        return f"PARTITION({self.expressions(expression)})"
+            
    908    def partition_sql(self, expression: exp.Partition) -> str:
+909        return f"PARTITION({self.expressions(expression)})"
 
    
 
 
@@ -6905,20 +6913,20 @@ 
    Arguments:
    
 
     
    
     
-            
    913    def properties_sql(self, expression: exp.Properties) -> str:
-914        root_properties = []
-915        with_properties = []
-916
-917        for p in expression.expressions:
-918            p_loc = self.PROPERTIES_LOCATION[p.__class__]
-919            if p_loc == exp.Properties.Location.POST_WITH:
-920                with_properties.append(p)
-921            elif p_loc == exp.Properties.Location.POST_SCHEMA:
-922                root_properties.append(p)
-923
-924        return self.root_properties(
-925            exp.Properties(expressions=root_properties)
-926        ) + self.with_properties(exp.Properties(expressions=with_properties))
+            
    911    def properties_sql(self, expression: exp.Properties) -> str:
+912        root_properties = []
+913        with_properties = []
+914
+915        for p in expression.expressions:
+916            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+917            if p_loc == exp.Properties.Location.POST_WITH:
+918                with_properties.append(p)
+919            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+920                root_properties.append(p)
+921
+922        return self.root_properties(
+923            exp.Properties(expressions=root_properties)
+924        ) + self.with_properties(exp.Properties(expressions=with_properties))
 
    
 
 
@@ -6936,10 +6944,10 @@ 
    Arguments:
    
 
     
    
     
-            
    928    def root_properties(self, properties: exp.Properties) -> str:
-929        if properties.expressions:
-930            return self.sep() + self.expressions(properties, indent=False, sep=" ")
-931        return ""
+            
    926    def root_properties(self, properties: exp.Properties) -> str:
+927        if properties.expressions:
+928            return self.sep() + self.expressions(properties, indent=False, sep=" ")
+929        return ""
 
    
 
 
@@ -6957,19 +6965,19 @@ 
    Arguments:
    
 
     
    
     
-            
    933    def properties(
-934        self,
-935        properties: exp.Properties,
-936        prefix: str = "",
-937        sep: str = ", ",
-938        suffix: str = "",
-939        wrapped: bool = True,
-940    ) -> str:
-941        if properties.expressions:
-942            expressions = self.expressions(properties, sep=sep, indent=False)
-943            expressions = self.wrap(expressions) if wrapped else expressions
-944            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
-945        return ""
+            
    931    def properties(
+932        self,
+933        properties: exp.Properties,
+934        prefix: str = "",
+935        sep: str = ", ",
+936        suffix: str = "",
+937        wrapped: bool = True,
+938    ) -> str:
+939        if properties.expressions:
+940            expressions = self.expressions(properties, sep=sep, indent=False)
+941            expressions = self.wrap(expressions) if wrapped else expressions
+942            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
+943        return ""
 
    
 
 
@@ -6987,8 +6995,8 @@ 
    Arguments:
    
 
     
    
     
-            
    947    def with_properties(self, properties: exp.Properties) -> str:
-948        return self.properties(properties, prefix=self.seg("WITH"))
+            
    945    def with_properties(self, properties: exp.Properties) -> str:
+946        return self.properties(properties, prefix=self.seg("WITH"))
 
    
 
 
@@ -7006,33 +7014,33 @@ 
    Arguments:
    
 
     
    
     
-            
    950    def locate_properties(
-951        self, properties: exp.Properties
-952    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
-953        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
-954            key: [] for key in exp.Properties.Location
-955        }
-956
-957        for p in properties.expressions:
-958            p_loc = self.PROPERTIES_LOCATION[p.__class__]
-959            if p_loc == exp.Properties.Location.POST_NAME:
-960                properties_locs[exp.Properties.Location.POST_NAME].append(p)
-961            elif p_loc == exp.Properties.Location.POST_INDEX:
-962                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
-963            elif p_loc == exp.Properties.Location.POST_SCHEMA:
-964                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
-965            elif p_loc == exp.Properties.Location.POST_WITH:
-966                properties_locs[exp.Properties.Location.POST_WITH].append(p)
-967            elif p_loc == exp.Properties.Location.POST_CREATE:
-968                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
-969            elif p_loc == exp.Properties.Location.POST_ALIAS:
-970                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
-971            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
-972                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
-973            elif p_loc == exp.Properties.Location.UNSUPPORTED:
-974                self.unsupported(f"Unsupported property {p.key}")
-975
-976        return properties_locs
+            
    948    def locate_properties(
+949        self, properties: exp.Properties
+950    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
+951        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
+952            key: [] for key in exp.Properties.Location
+953        }
+954
+955        for p in properties.expressions:
+956            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+957            if p_loc == exp.Properties.Location.POST_NAME:
+958                properties_locs[exp.Properties.Location.POST_NAME].append(p)
+959            elif p_loc == exp.Properties.Location.POST_INDEX:
+960                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
+961            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+962                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
+963            elif p_loc == exp.Properties.Location.POST_WITH:
+964                properties_locs[exp.Properties.Location.POST_WITH].append(p)
+965            elif p_loc == exp.Properties.Location.POST_CREATE:
+966                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
+967            elif p_loc == exp.Properties.Location.POST_ALIAS:
+968                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
+969            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
+970                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
+971            elif p_loc == exp.Properties.Location.UNSUPPORTED:
+972                self.unsupported(f"Unsupported property {p.key}")
+973
+974        return properties_locs
 
    
 
 
@@ -7050,16 +7058,16 @@ 
    Arguments:
    
 
     
    
     
-            
    978    def property_sql(self, expression: exp.Property) -> str:
-979        property_cls = expression.__class__
-980        if property_cls == exp.Property:
-981            return f"{expression.name}={self.sql(expression, 'value')}"
-982
-983        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
-984        if not property_name:
-985            self.unsupported(f"Unsupported property {expression.key}")
-986
-987        return f"{property_name}={self.sql(expression, 'this')}"
+            
    976    def property_sql(self, expression: exp.Property) -> str:
+977        property_cls = expression.__class__
+978        if property_cls == exp.Property:
+979            return f"{expression.name}={self.sql(expression, 'value')}"
+980
+981        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
+982        if not property_name:
+983            self.unsupported(f"Unsupported property {expression.key}")
+984
+985        return f"{property_name}={self.sql(expression, 'this')}"
 
    
 
 
@@ -7077,10 +7085,10 @@ 
    Arguments:
    
 
     
    
     
-            
    989    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
-990        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
-991        options = f" {options}" if options else ""
-992        return f"LIKE {self.sql(expression, 'this')}{options}"
+            
    987    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
+988        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
+989        options = f" {options}" if options else ""
+990        return f"LIKE {self.sql(expression, 'this')}{options}"
 
    
 
 
@@ -7098,10 +7106,10 @@ 
    Arguments:
    
 
     
    
     
-            
    994    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
-995        no = "NO " if expression.args.get("no") else ""
-996        protection = " PROTECTION" if expression.args.get("protection") else ""
-997        return f"{no}FALLBACK{protection}"
+            
    992    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
+993        no = "NO " if expression.args.get("no") else ""
+994        protection = " PROTECTION" if expression.args.get("protection") else ""
+995        return f"{no}FALLBACK{protection}"
 
    
 
 
@@ -7119,14 +7127,14 @@ 
    Arguments:
    
 
     
    
     
-            
     999    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
-1000        no = "NO " if expression.args.get("no") else ""
-1001        local = expression.args.get("local")
-1002        local = f"{local} " if local else ""
-1003        dual = "DUAL " if expression.args.get("dual") else ""
-1004        before = "BEFORE " if expression.args.get("before") else ""
-1005        after = "AFTER " if expression.args.get("after") else ""
-1006        return f"{no}{local}{dual}{before}{after}JOURNAL"
+            
     997    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
+ 998        no = "NO " if expression.args.get("no") else ""
+ 999        local = expression.args.get("local")
+1000        local = f"{local} " if local else ""
+1001        dual = "DUAL " if expression.args.get("dual") else ""
+1002        before = "BEFORE " if expression.args.get("before") else ""
+1003        after = "AFTER " if expression.args.get("after") else ""
+1004        return f"{no}{local}{dual}{before}{after}JOURNAL"
 
    
 
 
@@ -7144,10 +7152,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1008    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
-1009        freespace = self.sql(expression, "this")
-1010        percent = " PERCENT" if expression.args.get("percent") else ""
-1011        return f"FREESPACE={freespace}{percent}"
+            
    1006    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
+1007        freespace = self.sql(expression, "this")
+1008        percent = " PERCENT" if expression.args.get("percent") else ""
+1009        return f"FREESPACE={freespace}{percent}"
 
    
 
 
@@ -7165,14 +7173,14 @@ 
    Arguments:
    
 
     
    
     
-            
    1013    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
-1014        if expression.args.get("default"):
-1015            property = "DEFAULT"
-1016        elif expression.args.get("on"):
-1017            property = "ON"
-1018        else:
-1019            property = "OFF"
-1020        return f"CHECKSUM={property}"
+            
    1011    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
+1012        if expression.args.get("default"):
+1013            property = "DEFAULT"
+1014        elif expression.args.get("on"):
+1015            property = "ON"
+1016        else:
+1017            property = "OFF"
+1018        return f"CHECKSUM={property}"
 
    
 
 
@@ -7190,14 +7198,14 @@ 
    Arguments:
    
 
     
    
     
-            
    1022    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
-1023        if expression.args.get("no"):
-1024            return "NO MERGEBLOCKRATIO"
-1025        if expression.args.get("default"):
-1026            return "DEFAULT MERGEBLOCKRATIO"
-1027
-1028        percent = " PERCENT" if expression.args.get("percent") else ""
-1029        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+            
    1020    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
+1021        if expression.args.get("no"):
+1022            return "NO MERGEBLOCKRATIO"
+1023        if expression.args.get("default"):
+1024            return "DEFAULT MERGEBLOCKRATIO"
+1025
+1026        percent = " PERCENT" if expression.args.get("percent") else ""
+1027        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
 
    
 
 
@@ -7215,21 +7223,21 @@ 
    Arguments:
    
 
     
    
     
-            
    1031    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
-1032        default = expression.args.get("default")
-1033        minimum = expression.args.get("minimum")
-1034        maximum = expression.args.get("maximum")
-1035        if default or minimum or maximum:
-1036            if default:
-1037                prop = "DEFAULT"
-1038            elif minimum:
-1039                prop = "MINIMUM"
-1040            else:
-1041                prop = "MAXIMUM"
-1042            return f"{prop} DATABLOCKSIZE"
-1043        units = expression.args.get("units")
-1044        units = f" {units}" if units else ""
-1045        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
+            
    1029    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
+1030        default = expression.args.get("default")
+1031        minimum = expression.args.get("minimum")
+1032        maximum = expression.args.get("maximum")
+1033        if default or minimum or maximum:
+1034            if default:
+1035                prop = "DEFAULT"
+1036            elif minimum:
+1037                prop = "MINIMUM"
+1038            else:
+1039                prop = "MAXIMUM"
+1040            return f"{prop} DATABLOCKSIZE"
+1041        units = expression.args.get("units")
+1042        units = f" {units}" if units else ""
+1043        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
 
    
 
 
@@ -7247,24 +7255,24 @@ 
    Arguments:
    
 
     
    
     
-            
    1047    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
-1048        autotemp = expression.args.get("autotemp")
-1049        always = expression.args.get("always")
-1050        default = expression.args.get("default")
-1051        manual = expression.args.get("manual")
-1052        never = expression.args.get("never")
-1053
-1054        if autotemp is not None:
-1055            prop = f"AUTOTEMP({self.expressions(autotemp)})"
-1056        elif always:
-1057            prop = "ALWAYS"
-1058        elif default:
-1059            prop = "DEFAULT"
-1060        elif manual:
-1061            prop = "MANUAL"
-1062        elif never:
-1063            prop = "NEVER"
-1064        return f"BLOCKCOMPRESSION={prop}"
+            
    1045    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
+1046        autotemp = expression.args.get("autotemp")
+1047        always = expression.args.get("always")
+1048        default = expression.args.get("default")
+1049        manual = expression.args.get("manual")
+1050        never = expression.args.get("never")
+1051
+1052        if autotemp is not None:
+1053            prop = f"AUTOTEMP({self.expressions(autotemp)})"
+1054        elif always:
+1055            prop = "ALWAYS"
+1056        elif default:
+1057            prop = "DEFAULT"
+1058        elif manual:
+1059            prop = "MANUAL"
+1060        elif never:
+1061            prop = "NEVER"
+1062        return f"BLOCKCOMPRESSION={prop}"
 
    
 
 
@@ -7282,20 +7290,20 @@ 
    Arguments:
    
 
     
    
     
-            
    1066    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
-1067        no = expression.args.get("no")
-1068        no = " NO" if no else ""
-1069        concurrent = expression.args.get("concurrent")
-1070        concurrent = " CONCURRENT" if concurrent else ""
-1071
-1072        for_ = ""
-1073        if expression.args.get("for_all"):
-1074            for_ = " FOR ALL"
-1075        elif expression.args.get("for_insert"):
-1076            for_ = " FOR INSERT"
-1077        elif expression.args.get("for_none"):
-1078            for_ = " FOR NONE"
-1079        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+            
    1064    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
+1065        no = expression.args.get("no")
+1066        no = " NO" if no else ""
+1067        concurrent = expression.args.get("concurrent")
+1068        concurrent = " CONCURRENT" if concurrent else ""
+1069
+1070        for_ = ""
+1071        if expression.args.get("for_all"):
+1072            for_ = " FOR ALL"
+1073        elif expression.args.get("for_insert"):
+1074            for_ = " FOR INSERT"
+1075        elif expression.args.get("for_none"):
+1076            for_ = " FOR NONE"
+1077        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
 
    
 
 
@@ -7313,13 +7321,13 @@ 
    Arguments:
    
 
     
    
     
-            
    1081    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
-1082        kind = expression.args.get("kind")
-1083        this: str = f" {this}" if expression.this else ""
-1084        for_or_in = expression.args.get("for_or_in")
-1085        lock_type = expression.args.get("lock_type")
-1086        override = " OVERRIDE" if expression.args.get("override") else ""
-1087        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
+            
    1079    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
+1080        kind = expression.args.get("kind")
+1081        this: str = f" {this}" if expression.this else ""
+1082        for_or_in = expression.args.get("for_or_in")
+1083        lock_type = expression.args.get("lock_type")
+1084        override = " OVERRIDE" if expression.args.get("override") else ""
+1085        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
 
    
 
 
@@ -7337,13 +7345,13 @@ 
    Arguments:
    
 
     
    
     
-            
    1089    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
-1090        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
-1091        statistics = expression.args.get("statistics")
-1092        statistics_sql = ""
-1093        if statistics is not None:
-1094            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
-1095        return f"{data_sql}{statistics_sql}"
+            
    1087    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
+1088        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
+1089        statistics = expression.args.get("statistics")
+1090        statistics_sql = ""
+1091        if statistics is not None:
+1092            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
+1093        return f"{data_sql}{statistics_sql}"
 
    
 
 
@@ -7361,28 +7369,28 @@ 
    Arguments:
    
 
     
    
     
-            
    1097    def insert_sql(self, expression: exp.Insert) -> str:
-1098        overwrite = expression.args.get("overwrite")
-1099
-1100        if isinstance(expression.this, exp.Directory):
-1101            this = "OVERWRITE " if overwrite else "INTO "
-1102        else:
-1103            this = "OVERWRITE TABLE " if overwrite else "INTO "
-1104
-1105        alternative = expression.args.get("alternative")
-1106        alternative = f" OR {alternative} " if alternative else " "
-1107        this = f"{this}{self.sql(expression, 'this')}"
-1108
-1109        exists = " IF EXISTS " if expression.args.get("exists") else " "
-1110        partition_sql = (
-1111            self.sql(expression, "partition") if expression.args.get("partition") else ""
-1112        )
-1113        expression_sql = self.sql(expression, "expression")
-1114        conflict = self.sql(expression, "conflict")
-1115        returning = self.sql(expression, "returning")
-1116        sep = self.sep() if partition_sql else ""
-1117        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
-1118        return self.prepend_ctes(expression, sql)
+            
    1095    def insert_sql(self, expression: exp.Insert) -> str:
+1096        overwrite = expression.args.get("overwrite")
+1097
+1098        if isinstance(expression.this, exp.Directory):
+1099            this = "OVERWRITE " if overwrite else "INTO "
+1100        else:
+1101            this = "OVERWRITE TABLE " if overwrite else "INTO "
+1102
+1103        alternative = expression.args.get("alternative")
+1104        alternative = f" OR {alternative} " if alternative else " "
+1105        this = f"{this}{self.sql(expression, 'this')}"
+1106
+1107        exists = " IF EXISTS " if expression.args.get("exists") else " "
+1108        partition_sql = (
+1109            self.sql(expression, "partition") if expression.args.get("partition") else ""
+1110        )
+1111        expression_sql = self.sql(expression, "expression")
+1112        conflict = self.sql(expression, "conflict")
+1113        returning = self.sql(expression, "returning")
+1114        sep = self.sep() if partition_sql else ""
+1115        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
+1116        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -7400,11 +7408,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1120    def intersect_sql(self, expression: exp.Intersect) -> str:
-1121        return self.prepend_ctes(
-1122            expression,
-1123            self.set_operation(expression, self.intersect_op(expression)),
-1124        )
+            
    1118    def intersect_sql(self, expression: exp.Intersect) -> str:
+1119        return self.prepend_ctes(
+1120            expression,
+1121            self.set_operation(expression, self.intersect_op(expression)),
+1122        )
 
    
 
 
@@ -7422,8 +7430,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1126    def intersect_op(self, expression: exp.Intersect) -> str:
-1127        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+            
    1124    def intersect_op(self, expression: exp.Intersect) -> str:
+1125        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
 
    
 
 
@@ -7441,8 +7449,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1129    def introducer_sql(self, expression: exp.Introducer) -> str:
-1130        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
+            
    1127    def introducer_sql(self, expression: exp.Introducer) -> str:
+1128        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
 
    
 
 
@@ -7460,8 +7468,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1132    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
-1133        return expression.name.upper()
+            
    1130    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
+1131        return expression.name.upper()
 
    
 
 
@@ -7479,18 +7487,18 @@ 
    Arguments:
    
 
     
    
     
-            
    1135    def onconflict_sql(self, expression: exp.OnConflict) -> str:
-1136        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
-1137        constraint = self.sql(expression, "constraint")
-1138        if constraint:
-1139            constraint = f"ON CONSTRAINT {constraint}"
-1140        key = self.expressions(expression, key="key", flat=True)
-1141        do = "" if expression.args.get("duplicate") else " DO "
-1142        nothing = "NOTHING" if expression.args.get("nothing") else ""
-1143        expressions = self.expressions(expression, flat=True)
-1144        if expressions:
-1145            expressions = f"UPDATE SET {expressions}"
-1146        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
+            
    1133    def onconflict_sql(self, expression: exp.OnConflict) -> str:
+1134        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
+1135        constraint = self.sql(expression, "constraint")
+1136        if constraint:
+1137            constraint = f"ON CONSTRAINT {constraint}"
+1138        key = self.expressions(expression, key="key", flat=True)
+1139        do = "" if expression.args.get("duplicate") else " DO "
+1140        nothing = "NOTHING" if expression.args.get("nothing") else ""
+1141        expressions = self.expressions(expression, flat=True)
+1142        if expressions:
+1143            expressions = f"UPDATE SET {expressions}"
+1144        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
 
    
 
 
@@ -7508,8 +7516,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1148    def returning_sql(self, expression: exp.Returning) -> str:
-1149        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
+            
    1146    def returning_sql(self, expression: exp.Returning) -> str:
+1147        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
 
    
 
 
@@ -7527,20 +7535,20 @@ 
    Arguments:
    
 
     
    
     
-            
    1151    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
-1152        fields = expression.args.get("fields")
-1153        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
-1154        escaped = expression.args.get("escaped")
-1155        escaped = f" ESCAPED BY {escaped}" if escaped else ""
-1156        items = expression.args.get("collection_items")
-1157        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
-1158        keys = expression.args.get("map_keys")
-1159        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
-1160        lines = expression.args.get("lines")
-1161        lines = f" LINES TERMINATED BY {lines}" if lines else ""
-1162        null = expression.args.get("null")
-1163        null = f" NULL DEFINED AS {null}" if null else ""
-1164        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
+            
    1149    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
+1150        fields = expression.args.get("fields")
+1151        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
+1152        escaped = expression.args.get("escaped")
+1153        escaped = f" ESCAPED BY {escaped}" if escaped else ""
+1154        items = expression.args.get("collection_items")
+1155        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
+1156        keys = expression.args.get("map_keys")
+1157        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
+1158        lines = expression.args.get("lines")
+1159        lines = f" LINES TERMINATED BY {lines}" if lines else ""
+1160        null = expression.args.get("null")
+1161        null = f" NULL DEFINED AS {null}" if null else ""
+1162        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
 
    
 
 
@@ -7558,29 +7566,29 @@ 
    Arguments:
    
 
     
    
     
-            
    1166    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
-1167        table = ".".join(
-1168            part
-1169            for part in [
-1170                self.sql(expression, "catalog"),
-1171                self.sql(expression, "db"),
-1172                self.sql(expression, "this"),
-1173            ]
-1174            if part
-1175        )
-1176
-1177        alias = self.sql(expression, "alias")
-1178        alias = f"{sep}{alias}" if alias else ""
-1179        hints = self.expressions(expression, key="hints", flat=True)
-1180        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
-1181        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1182        pivots = f" {pivots}" if pivots else ""
-1183        joins = self.expressions(expression, key="joins", sep="")
-1184        laterals = self.expressions(expression, key="laterals", sep="")
-1185        system_time = expression.args.get("system_time")
-1186        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
-1187
-1188        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
+            
    1164    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
+1165        table = ".".join(
+1166            part
+1167            for part in [
+1168                self.sql(expression, "catalog"),
+1169                self.sql(expression, "db"),
+1170                self.sql(expression, "this"),
+1171            ]
+1172            if part
+1173        )
+1174
+1175        alias = self.sql(expression, "alias")
+1176        alias = f"{sep}{alias}" if alias else ""
+1177        hints = self.expressions(expression, key="hints", flat=True)
+1178        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
+1179        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1180        pivots = f" {pivots}" if pivots else ""
+1181        joins = self.expressions(expression, key="joins", sep="")
+1182        laterals = self.expressions(expression, key="laterals", sep="")
+1183        system_time = expression.args.get("system_time")
+1184        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+1185
+1186        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
 
    
 
 
@@ -7598,35 +7606,35 @@ 
    Arguments:
    
 
     
    
     
-            
    1190    def tablesample_sql(
-1191        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
-1192    ) -> str:
-1193        if self.alias_post_tablesample and expression.this.alias:
-1194            table = expression.this.copy()
-1195            table.set("alias", None)
-1196            this = self.sql(table)
-1197            alias = f"{sep}{self.sql(expression.this, 'alias')}"
-1198        else:
-1199            this = self.sql(expression, "this")
-1200            alias = ""
-1201        method = self.sql(expression, "method")
-1202        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
-1203        numerator = self.sql(expression, "bucket_numerator")
-1204        denominator = self.sql(expression, "bucket_denominator")
-1205        field = self.sql(expression, "bucket_field")
-1206        field = f" ON {field}" if field else ""
-1207        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
-1208        percent = self.sql(expression, "percent")
-1209        percent = f"{percent} PERCENT" if percent else ""
-1210        rows = self.sql(expression, "rows")
-1211        rows = f"{rows} ROWS" if rows else ""
-1212        size = self.sql(expression, "size")
-1213        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
-1214            size = f"{size} PERCENT"
-1215        seed = self.sql(expression, "seed")
-1216        seed = f" {seed_prefix} ({seed})" if seed else ""
-1217        kind = expression.args.get("kind", "TABLESAMPLE")
-1218        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
+            
    1188    def tablesample_sql(
+1189        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+1190    ) -> str:
+1191        if self.alias_post_tablesample and expression.this.alias:
+1192            table = expression.this.copy()
+1193            table.set("alias", None)
+1194            this = self.sql(table)
+1195            alias = f"{sep}{self.sql(expression.this, 'alias')}"
+1196        else:
+1197            this = self.sql(expression, "this")
+1198            alias = ""
+1199        method = self.sql(expression, "method")
+1200        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
+1201        numerator = self.sql(expression, "bucket_numerator")
+1202        denominator = self.sql(expression, "bucket_denominator")
+1203        field = self.sql(expression, "bucket_field")
+1204        field = f" ON {field}" if field else ""
+1205        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
+1206        percent = self.sql(expression, "percent")
+1207        percent = f"{percent} PERCENT" if percent else ""
+1208        rows = self.sql(expression, "rows")
+1209        rows = f"{rows} ROWS" if rows else ""
+1210        size = self.sql(expression, "size")
+1211        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
+1212            size = f"{size} PERCENT"
+1213        seed = self.sql(expression, "seed")
+1214        seed = f" {seed_prefix} ({seed})" if seed else ""
+1215        kind = expression.args.get("kind", "TABLESAMPLE")
+1216        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
 
    
 
 
@@ -7644,14 +7652,14 @@ 
    Arguments:
    
 
     
    
     
-            
    1220    def pivot_sql(self, expression: exp.Pivot) -> str:
-1221        alias = self.sql(expression, "alias")
-1222        alias = f" AS {alias}" if alias else ""
-1223        unpivot = expression.args.get("unpivot")
-1224        direction = "UNPIVOT" if unpivot else "PIVOT"
-1225        expressions = self.expressions(expression, flat=True)
-1226        field = self.sql(expression, "field")
-1227        return f"{direction}({expressions} FOR {field}){alias}"
+            
    1218    def pivot_sql(self, expression: exp.Pivot) -> str:
+1219        alias = self.sql(expression, "alias")
+1220        alias = f" AS {alias}" if alias else ""
+1221        unpivot = expression.args.get("unpivot")
+1222        direction = "UNPIVOT" if unpivot else "PIVOT"
+1223        expressions = self.expressions(expression, flat=True)
+1224        field = self.sql(expression, "field")
+1225        return f"{direction}({expressions} FOR {field}){alias}"
 
    
 
 
@@ -7669,8 +7677,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1229    def tuple_sql(self, expression: exp.Tuple) -> str:
-1230        return f"({self.expressions(expression, flat=True)})"
+            
    1227    def tuple_sql(self, expression: exp.Tuple) -> str:
+1228        return f"({self.expressions(expression, flat=True)})"
 
    
 
 
@@ -7688,14 +7696,14 @@ 
    Arguments:
    
 
     
    
     
-            
    1232    def update_sql(self, expression: exp.Update) -> str:
-1233        this = self.sql(expression, "this")
-1234        set_sql = self.expressions(expression, flat=True)
-1235        from_sql = self.sql(expression, "from")
-1236        where_sql = self.sql(expression, "where")
-1237        returning = self.sql(expression, "returning")
-1238        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
-1239        return self.prepend_ctes(expression, sql)
+            
    1230    def update_sql(self, expression: exp.Update) -> str:
+1231        this = self.sql(expression, "this")
+1232        set_sql = self.expressions(expression, flat=True)
+1233        from_sql = self.sql(expression, "from")
+1234        where_sql = self.sql(expression, "where")
+1235        returning = self.sql(expression, "returning")
+1236        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
+1237        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -7713,16 +7721,16 @@ 
    Arguments:
    
 
     
    
     
-            
    1241    def values_sql(self, expression: exp.Values) -> str:
-1242        args = self.expressions(expression)
-1243        alias = self.sql(expression, "alias")
-1244        values = f"VALUES{self.seg('')}{args}"
-1245        values = (
-1246            f"({values})"
-1247            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
-1248            else values
-1249        )
-1250        return f"{values} AS {alias}" if alias else values
+            
    1239    def values_sql(self, expression: exp.Values) -> str:
+1240        args = self.expressions(expression)
+1241        alias = self.sql(expression, "alias")
+1242        values = f"VALUES{self.seg('')}{args}"
+1243        values = (
+1244            f"({values})"
+1245            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
+1246            else values
+1247        )
+1248        return f"{values} AS {alias}" if alias else values
 
    
 
 
@@ -7740,8 +7748,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1252    def var_sql(self, expression: exp.Var) -> str:
-1253        return self.sql(expression, "this")
+            
    1250    def var_sql(self, expression: exp.Var) -> str:
+1251        return self.sql(expression, "this")
 
    
 
 
@@ -7759,10 +7767,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1255    def into_sql(self, expression: exp.Into) -> str:
-1256        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-1257        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
-1258        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
+            
    1253    def into_sql(self, expression: exp.Into) -> str:
+1254        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+1255        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
+1256        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
 
    
 
 
@@ -7780,8 +7788,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1260    def from_sql(self, expression: exp.From) -> str:
-1261        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
+            
    1258    def from_sql(self, expression: exp.From) -> str:
+1259        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
 
    
 
 
@@ -7799,39 +7807,39 @@ 
    Arguments:
    
 
     
    
     
-            
    1263    def group_sql(self, expression: exp.Group) -> str:
-1264        group_by = self.op_expressions("GROUP BY", expression)
-1265        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
-1266        grouping_sets = (
-1267            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
-1268        )
-1269
-1270        cube = expression.args.get("cube", [])
-1271        if seq_get(cube, 0) is True:
-1272            return f"{group_by}{self.seg('WITH CUBE')}"
-1273        else:
-1274            cube_sql = self.expressions(expression, key="cube", indent=False)
-1275            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
-1276
-1277        rollup = expression.args.get("rollup", [])
-1278        if seq_get(rollup, 0) is True:
-1279            return f"{group_by}{self.seg('WITH ROLLUP')}"
-1280        else:
-1281            rollup_sql = self.expressions(expression, key="rollup", indent=False)
-1282            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
-1283
-1284        groupings = csv(
-1285            grouping_sets,
-1286            cube_sql,
-1287            rollup_sql,
-1288            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
-1289            sep=self.GROUPINGS_SEP,
-1290        )
-1291
-1292        if expression.args.get("expressions") and groupings:
-1293            group_by = f"{group_by}{self.GROUPINGS_SEP}"
-1294
-1295        return f"{group_by}{groupings}"
+            
    1261    def group_sql(self, expression: exp.Group) -> str:
+1262        group_by = self.op_expressions("GROUP BY", expression)
+1263        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
+1264        grouping_sets = (
+1265            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
+1266        )
+1267
+1268        cube = expression.args.get("cube", [])
+1269        if seq_get(cube, 0) is True:
+1270            return f"{group_by}{self.seg('WITH CUBE')}"
+1271        else:
+1272            cube_sql = self.expressions(expression, key="cube", indent=False)
+1273            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
+1274
+1275        rollup = expression.args.get("rollup", [])
+1276        if seq_get(rollup, 0) is True:
+1277            return f"{group_by}{self.seg('WITH ROLLUP')}"
+1278        else:
+1279            rollup_sql = self.expressions(expression, key="rollup", indent=False)
+1280            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
+1281
+1282        groupings = csv(
+1283            grouping_sets,
+1284            cube_sql,
+1285            rollup_sql,
+1286            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
+1287            sep=self.GROUPINGS_SEP,
+1288        )
+1289
+1290        if expression.args.get("expressions") and groupings:
+1291            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1292
+1293        return f"{group_by}{groupings}"
 
    
 
 
@@ -7849,9 +7857,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1297    def having_sql(self, expression: exp.Having) -> str:
-1298        this = self.indent(self.sql(expression, "this"))
-1299        return f"{self.seg('HAVING')}{self.sep()}{this}"
+            
    1295    def having_sql(self, expression: exp.Having) -> str:
+1296        this = self.indent(self.sql(expression, "this"))
+1297        return f"{self.seg('HAVING')}{self.sep()}{this}"
 
    
 
 
@@ -7869,38 +7877,38 @@ 
    Arguments:
    
 
     
    
     
-            
    1301    def join_sql(self, expression: exp.Join) -> str:
-1302        op_sql = " ".join(
-1303            op
-1304            for op in (
-1305                "NATURAL" if expression.args.get("natural") else None,
-1306                "GLOBAL" if expression.args.get("global") else None,
-1307                expression.side,
-1308                expression.kind,
-1309                expression.hint if self.JOIN_HINTS else None,
-1310            )
-1311            if op
-1312        )
-1313        on_sql = self.sql(expression, "on")
-1314        using = expression.args.get("using")
-1315
-1316        if not on_sql and using:
-1317            on_sql = csv(*(self.sql(column) for column in using))
+            
    1299    def join_sql(self, expression: exp.Join) -> str:
+1300        op_sql = " ".join(
+1301            op
+1302            for op in (
+1303                "NATURAL" if expression.args.get("natural") else None,
+1304                "GLOBAL" if expression.args.get("global") else None,
+1305                expression.side,
+1306                expression.kind,
+1307                expression.hint if self.JOIN_HINTS else None,
+1308            )
+1309            if op
+1310        )
+1311        on_sql = self.sql(expression, "on")
+1312        using = expression.args.get("using")
+1313
+1314        if not on_sql and using:
+1315            on_sql = csv(*(self.sql(column) for column in using))
+1316
+1317        this_sql = self.sql(expression, "this")
 1318
-1319        this_sql = self.sql(expression, "this")
-1320
-1321        if on_sql:
-1322            on_sql = self.indent(on_sql, skip_first=True)
-1323            space = self.seg(" " * self.pad) if self.pretty else " "
-1324            if using:
-1325                on_sql = f"{space}USING ({on_sql})"
-1326            else:
-1327                on_sql = f"{space}ON {on_sql}"
-1328        elif not op_sql:
-1329            return f", {this_sql}"
-1330
-1331        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
-1332        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
+1319        if on_sql:
+1320            on_sql = self.indent(on_sql, skip_first=True)
+1321            space = self.seg(" " * self.pad) if self.pretty else " "
+1322            if using:
+1323                on_sql = f"{space}USING ({on_sql})"
+1324            else:
+1325                on_sql = f"{space}ON {on_sql}"
+1326        elif not op_sql:
+1327            return f", {this_sql}"
+1328
+1329        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
+1330        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
 
    
 
 
@@ -7918,10 +7926,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1334    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
-1335        args = self.expressions(expression, flat=True)
-1336        args = f"({args})" if len(args.split(",")) > 1 else args
-1337        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
+            
    1332    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
+1333        args = self.expressions(expression, flat=True)
+1334        args = f"({args})" if len(args.split(",")) > 1 else args
+1335        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
 
    
 
 
@@ -7939,23 +7947,23 @@ 
    Arguments:
    
 
     
    
     
-            
    1339    def lateral_sql(self, expression: exp.Lateral) -> str:
-1340        this = self.sql(expression, "this")
-1341
-1342        if isinstance(expression.this, exp.Subquery):
-1343            return f"LATERAL {this}"
-1344
-1345        if expression.args.get("view"):
-1346            alias = expression.args["alias"]
-1347            columns = self.expressions(alias, key="columns", flat=True)
-1348            table = f" {alias.name}" if alias.name else ""
-1349            columns = f" AS {columns}" if columns else ""
-1350            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
-1351            return f"{op_sql}{self.sep()}{this}{table}{columns}"
-1352
-1353        alias = self.sql(expression, "alias")
-1354        alias = f" AS {alias}" if alias else ""
-1355        return f"LATERAL {this}{alias}"
+            
    1337    def lateral_sql(self, expression: exp.Lateral) -> str:
+1338        this = self.sql(expression, "this")
+1339
+1340        if isinstance(expression.this, exp.Subquery):
+1341            return f"LATERAL {this}"
+1342
+1343        if expression.args.get("view"):
+1344            alias = expression.args["alias"]
+1345            columns = self.expressions(alias, key="columns", flat=True)
+1346            table = f" {alias.name}" if alias.name else ""
+1347            columns = f" AS {columns}" if columns else ""
+1348            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
+1349            return f"{op_sql}{self.sep()}{this}{table}{columns}"
+1350
+1351        alias = self.sql(expression, "alias")
+1352        alias = f" AS {alias}" if alias else ""
+1353        return f"LATERAL {this}{alias}"
 
    
 
 
@@ -7973,9 +7981,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1357    def limit_sql(self, expression: exp.Limit) -> str:
-1358        this = self.sql(expression, "this")
-1359        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
+            
    1355    def limit_sql(self, expression: exp.Limit) -> str:
+1356        this = self.sql(expression, "this")
+1357        return f"{this}{self.seg('LIMIT')} {self.sql(expression, 'expression')}"
 
    
 
 
@@ -7993,9 +8001,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1361    def offset_sql(self, expression: exp.Offset) -> str:
-1362        this = self.sql(expression, "this")
-1363        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
+            
    1359    def offset_sql(self, expression: exp.Offset) -> str:
+1360        this = self.sql(expression, "this")
+1361        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
 
    
 
 
@@ -8013,15 +8021,15 @@ 
    Arguments:
    
 
     
    
     
-            
    1365    def setitem_sql(self, expression: exp.SetItem) -> str:
-1366        kind = self.sql(expression, "kind")
-1367        kind = f"{kind} " if kind else ""
-1368        this = self.sql(expression, "this")
-1369        expressions = self.expressions(expression)
-1370        collate = self.sql(expression, "collate")
-1371        collate = f" COLLATE {collate}" if collate else ""
-1372        global_ = "GLOBAL " if expression.args.get("global") else ""
-1373        return f"{global_}{kind}{this}{expressions}{collate}"
+            
    1363    def setitem_sql(self, expression: exp.SetItem) -> str:
+1364        kind = self.sql(expression, "kind")
+1365        kind = f"{kind} " if kind else ""
+1366        this = self.sql(expression, "this")
+1367        expressions = self.expressions(expression)
+1368        collate = self.sql(expression, "collate")
+1369        collate = f" COLLATE {collate}" if collate else ""
+1370        global_ = "GLOBAL " if expression.args.get("global") else ""
+1371        return f"{global_}{kind}{this}{expressions}{collate}"
 
    
 
 
@@ -8039,11 +8047,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1375    def set_sql(self, expression: exp.Set) -> str:
-1376        expressions = (
-1377            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
-1378        )
-1379        return f"SET{expressions}"
+            
    1373    def set_sql(self, expression: exp.Set) -> str:
+1374        expressions = (
+1375            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
+1376        )
+1377        return f"SET{expressions}"
 
    
 
 
@@ -8061,8 +8069,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1381    def pragma_sql(self, expression: exp.Pragma) -> str:
-1382        return f"PRAGMA {self.sql(expression, 'this')}"
+            
    1379    def pragma_sql(self, expression: exp.Pragma) -> str:
+1380        return f"PRAGMA {self.sql(expression, 'this')}"
 
    
 
 
@@ -8080,23 +8088,23 @@ 
    Arguments:
    
 
     
    
     
-            
    1384    def lock_sql(self, expression: exp.Lock) -> str:
-1385        if not self.LOCKING_READS_SUPPORTED:
-1386            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
-1387            return ""
-1388
-1389        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
-1390        expressions = self.expressions(expression, flat=True)
-1391        expressions = f" OF {expressions}" if expressions else ""
-1392        wait = expression.args.get("wait")
-1393
-1394        if wait is not None:
-1395            if isinstance(wait, exp.Literal):
-1396                wait = f" WAIT {self.sql(wait)}"
-1397            else:
-1398                wait = " NOWAIT" if wait else " SKIP LOCKED"
-1399
-1400        return f"{lock_type}{expressions}{wait or ''}"
+            
    1382    def lock_sql(self, expression: exp.Lock) -> str:
+1383        if not self.LOCKING_READS_SUPPORTED:
+1384            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
+1385            return ""
+1386
+1387        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
+1388        expressions = self.expressions(expression, flat=True)
+1389        expressions = f" OF {expressions}" if expressions else ""
+1390        wait = expression.args.get("wait")
+1391
+1392        if wait is not None:
+1393            if isinstance(wait, exp.Literal):
+1394                wait = f" WAIT {self.sql(wait)}"
+1395            else:
+1396                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1397
+1398        return f"{lock_type}{expressions}{wait or ''}"
 
    
 
 
@@ -8114,14 +8122,14 @@ 
    Arguments:
    
 
     
    
     
-            
    1402    def literal_sql(self, expression: exp.Literal) -> str:
-1403        text = expression.this or ""
-1404        if expression.is_string:
-1405            text = text.replace(self.quote_end, self._escaped_quote_end)
-1406            if self.pretty:
-1407                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
-1408            text = f"{self.quote_start}{text}{self.quote_end}"
-1409        return text
+            
    1400    def literal_sql(self, expression: exp.Literal) -> str:
+1401        text = expression.this or ""
+1402        if expression.is_string:
+1403            text = text.replace(self.quote_end, self._escaped_quote_end)
+1404            if self.pretty:
+1405                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
+1406            text = f"{self.quote_start}{text}{self.quote_end}"
+1407        return text
 
    
 
 
@@ -8139,18 +8147,18 @@ 
    Arguments:
    
 
     
    
     
-            
    1411    def loaddata_sql(self, expression: exp.LoadData) -> str:
-1412        local = " LOCAL" if expression.args.get("local") else ""
-1413        inpath = f" INPATH {self.sql(expression, 'inpath')}"
-1414        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
-1415        this = f" INTO TABLE {self.sql(expression, 'this')}"
-1416        partition = self.sql(expression, "partition")
-1417        partition = f" {partition}" if partition else ""
-1418        input_format = self.sql(expression, "input_format")
-1419        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
-1420        serde = self.sql(expression, "serde")
-1421        serde = f" SERDE {serde}" if serde else ""
-1422        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
+            
    1409    def loaddata_sql(self, expression: exp.LoadData) -> str:
+1410        local = " LOCAL" if expression.args.get("local") else ""
+1411        inpath = f" INPATH {self.sql(expression, 'inpath')}"
+1412        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
+1413        this = f" INTO TABLE {self.sql(expression, 'this')}"
+1414        partition = self.sql(expression, "partition")
+1415        partition = f" {partition}" if partition else ""
+1416        input_format = self.sql(expression, "input_format")
+1417        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
+1418        serde = self.sql(expression, "serde")
+1419        serde = f" SERDE {serde}" if serde else ""
+1420        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
 
    
 
 
@@ -8168,8 +8176,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1424    def null_sql(self, *_) -> str:
-1425        return "NULL"
+            
    1422    def null_sql(self, *_) -> str:
+1423        return "NULL"
 
    
 
 
@@ -8187,8 +8195,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1427    def boolean_sql(self, expression: exp.Boolean) -> str:
-1428        return "TRUE" if expression.this else "FALSE"
+            
    1425    def boolean_sql(self, expression: exp.Boolean) -> str:
+1426        return "TRUE" if expression.this else "FALSE"
 
    
 
 
@@ -8206,10 +8214,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1430    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
-1431        this = self.sql(expression, "this")
-1432        this = f"{this} " if this else this
-1433        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
+            
    1428    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
+1429        this = self.sql(expression, "this")
+1430        this = f"{this} " if this else this
+1431        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
 
    
 
 
@@ -8227,8 +8235,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1435    def cluster_sql(self, expression: exp.Cluster) -> str:
-1436        return self.op_expressions("CLUSTER BY", expression)
+            
    1433    def cluster_sql(self, expression: exp.Cluster) -> str:
+1434        return self.op_expressions("CLUSTER BY", expression)
 
    
 
 
@@ -8246,8 +8254,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1438    def distribute_sql(self, expression: exp.Distribute) -> str:
-1439        return self.op_expressions("DISTRIBUTE BY", expression)
+            
    1436    def distribute_sql(self, expression: exp.Distribute) -> str:
+1437        return self.op_expressions("DISTRIBUTE BY", expression)
 
    
 
 
@@ -8265,8 +8273,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1441    def sort_sql(self, expression: exp.Sort) -> str:
-1442        return self.op_expressions("SORT BY", expression)
+            
    1439    def sort_sql(self, expression: exp.Sort) -> str:
+1440        return self.op_expressions("SORT BY", expression)
 
    
 
 
@@ -8284,36 +8292,36 @@ 
    Arguments:
    
 
     
    
     
-            
    1444    def ordered_sql(self, expression: exp.Ordered) -> str:
-1445        desc = expression.args.get("desc")
-1446        asc = not desc
-1447
-1448        nulls_first = expression.args.get("nulls_first")
-1449        nulls_last = not nulls_first
-1450        nulls_are_large = self.null_ordering == "nulls_are_large"
-1451        nulls_are_small = self.null_ordering == "nulls_are_small"
-1452        nulls_are_last = self.null_ordering == "nulls_are_last"
-1453
-1454        sort_order = " DESC" if desc else ""
-1455        nulls_sort_change = ""
-1456        if nulls_first and (
-1457            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
-1458        ):
-1459            nulls_sort_change = " NULLS FIRST"
-1460        elif (
-1461            nulls_last
-1462            and ((asc and nulls_are_small) or (desc and nulls_are_large))
-1463            and not nulls_are_last
-1464        ):
-1465            nulls_sort_change = " NULLS LAST"
-1466
-1467        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
-1468            self.unsupported(
-1469                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
-1470            )
-1471            nulls_sort_change = ""
-1472
-1473        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
+            
    1442    def ordered_sql(self, expression: exp.Ordered) -> str:
+1443        desc = expression.args.get("desc")
+1444        asc = not desc
+1445
+1446        nulls_first = expression.args.get("nulls_first")
+1447        nulls_last = not nulls_first
+1448        nulls_are_large = self.null_ordering == "nulls_are_large"
+1449        nulls_are_small = self.null_ordering == "nulls_are_small"
+1450        nulls_are_last = self.null_ordering == "nulls_are_last"
+1451
+1452        sort_order = " DESC" if desc else ""
+1453        nulls_sort_change = ""
+1454        if nulls_first and (
+1455            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
+1456        ):
+1457            nulls_sort_change = " NULLS FIRST"
+1458        elif (
+1459            nulls_last
+1460            and ((asc and nulls_are_small) or (desc and nulls_are_large))
+1461            and not nulls_are_last
+1462        ):
+1463            nulls_sort_change = " NULLS LAST"
+1464
+1465        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
+1466            self.unsupported(
+1467                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
+1468            )
+1469            nulls_sort_change = ""
+1470
+1471        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
 
    
 
 
@@ -8331,37 +8339,37 @@ 
    Arguments:
    
 
     
    
     
-            
    1475    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
-1476        partition = self.partition_by_sql(expression)
-1477        order = self.sql(expression, "order")
-1478        measures = self.expressions(expression, key="measures")
-1479        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
-1480        rows = self.sql(expression, "rows")
-1481        rows = self.seg(rows) if rows else ""
-1482        after = self.sql(expression, "after")
-1483        after = self.seg(after) if after else ""
-1484        pattern = self.sql(expression, "pattern")
-1485        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
-1486        definition_sqls = [
-1487            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
-1488            for definition in expression.args.get("define", [])
-1489        ]
-1490        definitions = self.expressions(sqls=definition_sqls)
-1491        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
-1492        body = "".join(
-1493            (
-1494                partition,
-1495                order,
-1496                measures,
-1497                rows,
-1498                after,
-1499                pattern,
-1500                define,
-1501            )
-1502        )
-1503        alias = self.sql(expression, "alias")
-1504        alias = f" {alias}" if alias else ""
-1505        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
+            
    1473    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
+1474        partition = self.partition_by_sql(expression)
+1475        order = self.sql(expression, "order")
+1476        measures = self.expressions(expression, key="measures")
+1477        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
+1478        rows = self.sql(expression, "rows")
+1479        rows = self.seg(rows) if rows else ""
+1480        after = self.sql(expression, "after")
+1481        after = self.seg(after) if after else ""
+1482        pattern = self.sql(expression, "pattern")
+1483        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
+1484        definition_sqls = [
+1485            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
+1486            for definition in expression.args.get("define", [])
+1487        ]
+1488        definitions = self.expressions(sqls=definition_sqls)
+1489        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
+1490        body = "".join(
+1491            (
+1492                partition,
+1493                order,
+1494                measures,
+1495                rows,
+1496                after,
+1497                pattern,
+1498                define,
+1499            )
+1500        )
+1501        alias = self.sql(expression, "alias")
+1502        alias = f" {alias}" if alias else ""
+1503        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
 
    
 
 
@@ -8379,31 +8387,31 @@ 
    Arguments:
    
 
     
    
     
-            
    1507    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
-1508        limit = expression.args.get("limit")
-1509
-1510        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
-1511            limit = exp.Limit(expression=limit.args.get("count"))
-1512        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
-1513            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+            
    1505    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
+1506        limit = expression.args.get("limit")
+1507
+1508        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
+1509            limit = exp.Limit(expression=limit.args.get("count"))
+1510        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
+1511            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1512
+1513        fetch = isinstance(limit, exp.Fetch)
 1514
-1515        fetch = isinstance(limit, exp.Fetch)
-1516
-1517        return csv(
-1518            *sqls,
-1519            *[self.sql(join) for join in expression.args.get("joins") or []],
-1520            self.sql(expression, "match"),
-1521            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
-1522            self.sql(expression, "where"),
-1523            self.sql(expression, "group"),
-1524            self.sql(expression, "having"),
-1525            *self.after_having_modifiers(expression),
-1526            self.sql(expression, "order"),
-1527            self.sql(expression, "offset") if fetch else self.sql(limit),
-1528            self.sql(limit) if fetch else self.sql(expression, "offset"),
-1529            *self.after_limit_modifiers(expression),
-1530            sep="",
-1531        )
+1515        return csv(
+1516            *sqls,
+1517            *[self.sql(join) for join in expression.args.get("joins") or []],
+1518            self.sql(expression, "match"),
+1519            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
+1520            self.sql(expression, "where"),
+1521            self.sql(expression, "group"),
+1522            self.sql(expression, "having"),
+1523            *self.after_having_modifiers(expression),
+1524            self.sql(expression, "order"),
+1525            self.sql(expression, "offset") if fetch else self.sql(limit),
+1526            self.sql(limit) if fetch else self.sql(expression, "offset"),
+1527            *self.after_limit_modifiers(expression),
+1528            sep="",
+1529        )
 
    
 
 
@@ -8415,19 +8423,19 @@ 
    Arguments:
    
 
    
             
         def
-        after_having_modifiers(self, expression):
+        after_having_modifiers(self, expression: sqlglot.expressions.Expression) -> List[str]:
 
                 
 
     
    
     
-            
    1533    def after_having_modifiers(self, expression):
-1534        return [
-1535            self.sql(expression, "qualify"),
-1536            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
-1537            if expression.args.get("windows")
-1538            else "",
-1539        ]
+            
    1531    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1532        return [
+1533            self.sql(expression, "qualify"),
+1534            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
+1535            if expression.args.get("windows")
+1536            else "",
+1537        ]
 
    
 
 
@@ -8439,16 +8447,16 @@ 
    Arguments:
    
 
    
             
         def
-        after_limit_modifiers(self, expression):
+        after_limit_modifiers(self, expression: sqlglot.expressions.Expression) -> List[str]:
 
                 
 
     
    
     
-            
    1541    def after_limit_modifiers(self, expression):
-1542        locks = self.expressions(expression, key="locks", sep=" ")
-1543        locks = f" {locks}" if locks else ""
-1544        return [locks, self.sql(expression, "sample")]
+            
    1539    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1540        locks = self.expressions(expression, key="locks", sep=" ")
+1541        locks = f" {locks}" if locks else ""
+1542        return [locks, self.sql(expression, "sample")]
 
    
 
 
@@ -8466,21 +8474,21 @@ 
    Arguments:
    
 
     
    
     
-            
    1546    def select_sql(self, expression: exp.Select) -> str:
-1547        hint = self.sql(expression, "hint")
-1548        distinct = self.sql(expression, "distinct")
-1549        distinct = f" {distinct}" if distinct else ""
-1550        kind = expression.args.get("kind")
-1551        kind = f" AS {kind}" if kind else ""
-1552        expressions = self.expressions(expression)
-1553        expressions = f"{self.sep()}{expressions}" if expressions else expressions
-1554        sql = self.query_modifiers(
-1555            expression,
-1556            f"SELECT{hint}{distinct}{kind}{expressions}",
-1557            self.sql(expression, "into", comment=False),
-1558            self.sql(expression, "from", comment=False),
-1559        )
-1560        return self.prepend_ctes(expression, sql)
+            
    1544    def select_sql(self, expression: exp.Select) -> str:
+1545        hint = self.sql(expression, "hint")
+1546        distinct = self.sql(expression, "distinct")
+1547        distinct = f" {distinct}" if distinct else ""
+1548        kind = expression.args.get("kind")
+1549        kind = f" AS {kind}" if kind else ""
+1550        expressions = self.expressions(expression)
+1551        expressions = f"{self.sep()}{expressions}" if expressions else expressions
+1552        sql = self.query_modifiers(
+1553            expression,
+1554            f"SELECT{hint}{distinct}{kind}{expressions}",
+1555            self.sql(expression, "into", comment=False),
+1556            self.sql(expression, "from", comment=False),
+1557        )
+1558        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -8498,11 +8506,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1562    def schema_sql(self, expression: exp.Schema) -> str:
-1563        this = self.sql(expression, "this")
-1564        this = f"{this} " if this else ""
-1565        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
-1566        return f"{this}{sql}"
+            
    1560    def schema_sql(self, expression: exp.Schema) -> str:
+1561        this = self.sql(expression, "this")
+1562        this = f"{this} " if this else ""
+1563        sql = f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
+1564        return f"{this}{sql}"
 
    
 
 
@@ -8520,12 +8528,12 @@ 
    Arguments:
    
 
     
    
     
-            
    1568    def star_sql(self, expression: exp.Star) -> str:
-1569        except_ = self.expressions(expression, key="except", flat=True)
-1570        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
-1571        replace = self.expressions(expression, key="replace", flat=True)
-1572        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
-1573        return f"*{except_}{replace}"
+            
    1566    def star_sql(self, expression: exp.Star) -> str:
+1567        except_ = self.expressions(expression, key="except", flat=True)
+1568        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
+1569        replace = self.expressions(expression, key="replace", flat=True)
+1570        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
+1571        return f"*{except_}{replace}"
 
    
 
 
@@ -8543,10 +8551,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1575    def parameter_sql(self, expression: exp.Parameter) -> str:
-1576        this = self.sql(expression, "this")
-1577        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
-1578        return f"{self.PARAMETER_TOKEN}{this}"
+            
    1573    def parameter_sql(self, expression: exp.Parameter) -> str:
+1574        this = self.sql(expression, "this")
+1575        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
+1576        return f"{self.PARAMETER_TOKEN}{this}"
 
    
 
 
@@ -8564,12 +8572,12 @@ 
    Arguments:
    
 
     
    
     
-            
    1580    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
-1581        this = self.sql(expression, "this")
-1582        kind = expression.text("kind")
-1583        if kind:
-1584            kind = f"{kind}."
-1585        return f"@@{kind}{this}"
+            
    1578    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
+1579        this = self.sql(expression, "this")
+1580        kind = expression.text("kind")
+1581        if kind:
+1582            kind = f"{kind}."
+1583        return f"@@{kind}{this}"
 
    
 
 
@@ -8587,8 +8595,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1587    def placeholder_sql(self, expression: exp.Placeholder) -> str:
-1588        return f":{expression.name}" if expression.name else "?"
+            
    1585    def placeholder_sql(self, expression: exp.Placeholder) -> str:
+1586        return f":{expression.name}" if expression.name else "?"
 
    
 
 
@@ -8606,15 +8614,15 @@ 
    Arguments:
    
 
     
    
     
-            
    1590    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
-1591        alias = self.sql(expression, "alias")
-1592        alias = f"{sep}{alias}" if alias else ""
-1593
-1594        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1595        pivots = f" {pivots}" if pivots else ""
-1596
-1597        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
-1598        return self.prepend_ctes(expression, sql)
+            
    1588    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
+1589        alias = self.sql(expression, "alias")
+1590        alias = f"{sep}{alias}" if alias else ""
+1591
+1592        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1593        pivots = f" {pivots}" if pivots else ""
+1594
+1595        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
+1596        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -8632,9 +8640,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1600    def qualify_sql(self, expression: exp.Qualify) -> str:
-1601        this = self.indent(self.sql(expression, "this"))
-1602        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
+            
    1598    def qualify_sql(self, expression: exp.Qualify) -> str:
+1599        this = self.indent(self.sql(expression, "this"))
+1600        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
 
    
 
 
@@ -8652,11 +8660,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1604    def union_sql(self, expression: exp.Union) -> str:
-1605        return self.prepend_ctes(
-1606            expression,
-1607            self.set_operation(expression, self.union_op(expression)),
-1608        )
+            
    1602    def union_sql(self, expression: exp.Union) -> str:
+1603        return self.prepend_ctes(
+1604            expression,
+1605            self.set_operation(expression, self.union_op(expression)),
+1606        )
 
    
 
 
@@ -8674,10 +8682,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1610    def union_op(self, expression: exp.Union) -> str:
-1611        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
-1612        kind = kind if expression.args.get("distinct") else " ALL"
-1613        return f"UNION{kind}"
+            
    1608    def union_op(self, expression: exp.Union) -> str:
+1609        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
+1610        kind = kind if expression.args.get("distinct") else " ALL"
+1611        return f"UNION{kind}"
 
    
 
 
@@ -8695,19 +8703,19 @@ 
    Arguments:
    
 
     
    
     
-            
    1615    def unnest_sql(self, expression: exp.Unnest) -> str:
-1616        args = self.expressions(expression, flat=True)
-1617        alias = expression.args.get("alias")
-1618        if alias and self.unnest_column_only:
-1619            columns = alias.columns
-1620            alias = self.sql(columns[0]) if columns else ""
-1621        else:
-1622            alias = self.sql(expression, "alias")
-1623        alias = f" AS {alias}" if alias else alias
-1624        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
-1625        offset = expression.args.get("offset")
-1626        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
-1627        return f"UNNEST({args}){ordinality}{alias}{offset}"
+            
    1613    def unnest_sql(self, expression: exp.Unnest) -> str:
+1614        args = self.expressions(expression, flat=True)
+1615        alias = expression.args.get("alias")
+1616        if alias and self.unnest_column_only:
+1617            columns = alias.columns
+1618            alias = self.sql(columns[0]) if columns else ""
+1619        else:
+1620            alias = self.sql(expression, "alias")
+1621        alias = f" AS {alias}" if alias else alias
+1622        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
+1623        offset = expression.args.get("offset")
+1624        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
+1625        return f"UNNEST({args}){ordinality}{alias}{offset}"
 
    
 
 
@@ -8725,9 +8733,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1629    def where_sql(self, expression: exp.Where) -> str:
-1630        this = self.indent(self.sql(expression, "this"))
-1631        return f"{self.seg('WHERE')}{self.sep()}{this}"
+            
    1627    def where_sql(self, expression: exp.Where) -> str:
+1628        this = self.indent(self.sql(expression, "this"))
+1629        return f"{self.seg('WHERE')}{self.sep()}{this}"
 
    
 
 
@@ -8745,34 +8753,34 @@ 
    Arguments:
    
 
     
    
     
-            
    1633    def window_sql(self, expression: exp.Window) -> str:
-1634        this = self.sql(expression, "this")
+            
    1631    def window_sql(self, expression: exp.Window) -> str:
+1632        this = self.sql(expression, "this")
+1633
+1634        partition = self.partition_by_sql(expression)
 1635
-1636        partition = self.partition_by_sql(expression)
-1637
-1638        order = expression.args.get("order")
-1639        order_sql = self.order_sql(order, flat=True) if order else ""
+1636        order = expression.args.get("order")
+1637        order_sql = self.order_sql(order, flat=True) if order else ""
+1638
+1639        partition_sql = partition + " " if partition and order else partition
 1640
-1641        partition_sql = partition + " " if partition and order else partition
-1642
-1643        spec = expression.args.get("spec")
-1644        spec_sql = " " + self.windowspec_sql(spec) if spec else ""
-1645
-1646        alias = self.sql(expression, "alias")
-1647        over = self.sql(expression, "over") or "OVER"
-1648        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
-1649
-1650        first = expression.args.get("first")
-1651        if first is not None:
-1652            first = " FIRST " if first else " LAST "
-1653        first = first or ""
-1654
-1655        if not partition and not order and not spec and alias:
-1656            return f"{this} {alias}"
+1641        spec = expression.args.get("spec")
+1642        spec_sql = " " + self.windowspec_sql(spec) if spec else ""
+1643
+1644        alias = self.sql(expression, "alias")
+1645        over = self.sql(expression, "over") or "OVER"
+1646        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
+1647
+1648        first = expression.args.get("first")
+1649        if first is not None:
+1650            first = " FIRST " if first else " LAST "
+1651        first = first or ""
+1652
+1653        if not partition and not order and not spec and alias:
+1654            return f"{this} {alias}"
+1655
+1656        window_args = alias + first + partition_sql + order_sql + spec_sql
 1657
-1658        window_args = alias + first + partition_sql + order_sql + spec_sql
-1659
-1660        return f"{this} ({window_args.strip()})"
+1658        return f"{this} ({window_args.strip()})"
 
    
 
 
@@ -8790,9 +8798,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1662    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
-1663        partition = self.expressions(expression, key="partition_by", flat=True)
-1664        return f"PARTITION BY {partition}" if partition else ""
+            
    1660    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
+1661        partition = self.expressions(expression, key="partition_by", flat=True)
+1662        return f"PARTITION BY {partition}" if partition else ""
 
    
 
 
@@ -8810,14 +8818,14 @@ 
    Arguments:
    
 
     
    
     
-            
    1666    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
-1667        kind = self.sql(expression, "kind")
-1668        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
-1669        end = (
-1670            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
-1671            or "CURRENT ROW"
-1672        )
-1673        return f"{kind} BETWEEN {start} AND {end}"
+            
    1664    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
+1665        kind = self.sql(expression, "kind")
+1666        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
+1667        end = (
+1668            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
+1669            or "CURRENT ROW"
+1670        )
+1671        return f"{kind} BETWEEN {start} AND {end}"
 
    
 
 
@@ -8835,10 +8843,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1675    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
-1676        this = self.sql(expression, "this")
-1677        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
-1678        return f"{this} WITHIN GROUP ({expression_sql})"
+            
    1673    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
+1674        this = self.sql(expression, "this")
+1675        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
+1676        return f"{this} WITHIN GROUP ({expression_sql})"
 
    
 
 
@@ -8856,11 +8864,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1680    def between_sql(self, expression: exp.Between) -> str:
-1681        this = self.sql(expression, "this")
-1682        low = self.sql(expression, "low")
-1683        high = self.sql(expression, "high")
-1684        return f"{this} BETWEEN {low} AND {high}"
+            
    1678    def between_sql(self, expression: exp.Between) -> str:
+1679        this = self.sql(expression, "this")
+1680        low = self.sql(expression, "low")
+1681        high = self.sql(expression, "high")
+1682        return f"{this} BETWEEN {low} AND {high}"
 
    
 
 
@@ -8878,11 +8886,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1686    def bracket_sql(self, expression: exp.Bracket) -> str:
-1687        expressions = apply_index_offset(expression.this, expression.expressions, self.index_offset)
-1688        expressions_sql = ", ".join(self.sql(e) for e in expressions)
-1689
-1690        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
+            
    1684    def bracket_sql(self, expression: exp.Bracket) -> str:
+1685        expressions = apply_index_offset(expression.this, expression.expressions, self.index_offset)
+1686        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1687
+1688        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
 
    
 
 
@@ -8900,8 +8908,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1692    def all_sql(self, expression: exp.All) -> str:
-1693        return f"ALL {self.wrap(expression)}"
+            
    1690    def all_sql(self, expression: exp.All) -> str:
+1691        return f"ALL {self.wrap(expression)}"
 
    
 
 
@@ -8919,11 +8927,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1695    def any_sql(self, expression: exp.Any) -> str:
-1696        this = self.sql(expression, "this")
-1697        if isinstance(expression.this, exp.Subqueryable):
-1698            this = self.wrap(this)
-1699        return f"ANY {this}"
+            
    1693    def any_sql(self, expression: exp.Any) -> str:
+1694        this = self.sql(expression, "this")
+1695        if isinstance(expression.this, exp.Subqueryable):
+1696            this = self.wrap(this)
+1697        return f"ANY {this}"
 
    
 
 
@@ -8941,8 +8949,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1701    def exists_sql(self, expression: exp.Exists) -> str:
-1702        return f"EXISTS{self.wrap(expression)}"
+            
    1699    def exists_sql(self, expression: exp.Exists) -> str:
+1700        return f"EXISTS{self.wrap(expression)}"
 
    
 
 
@@ -8960,25 +8968,25 @@ 
    Arguments:
    
 
     
    
     
-            
    1704    def case_sql(self, expression: exp.Case) -> str:
-1705        this = self.sql(expression, "this")
-1706        statements = [f"CASE {this}" if this else "CASE"]
-1707
-1708        for e in expression.args["ifs"]:
-1709            statements.append(f"WHEN {self.sql(e, 'this')}")
-1710            statements.append(f"THEN {self.sql(e, 'true')}")
+            
    1702    def case_sql(self, expression: exp.Case) -> str:
+1703        this = self.sql(expression, "this")
+1704        statements = [f"CASE {this}" if this else "CASE"]
+1705
+1706        for e in expression.args["ifs"]:
+1707            statements.append(f"WHEN {self.sql(e, 'this')}")
+1708            statements.append(f"THEN {self.sql(e, 'true')}")
+1709
+1710        default = self.sql(expression, "default")
 1711
-1712        default = self.sql(expression, "default")
-1713
-1714        if default:
-1715            statements.append(f"ELSE {default}")
+1712        if default:
+1713            statements.append(f"ELSE {default}")
+1714
+1715        statements.append("END")
 1716
-1717        statements.append("END")
-1718
-1719        if self.pretty and self.text_width(statements) > self._max_text_width:
-1720            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
-1721
-1722        return " ".join(statements)
+1717        if self.pretty and self.text_width(statements) > self._max_text_width:
+1718            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
+1719
+1720        return " ".join(statements)
 
    
 
 
@@ -8996,10 +9004,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1724    def constraint_sql(self, expression: exp.Constraint) -> str:
-1725        this = self.sql(expression, "this")
-1726        expressions = self.expressions(expression, flat=True)
-1727        return f"CONSTRAINT {this} {expressions}"
+            
    1722    def constraint_sql(self, expression: exp.Constraint) -> str:
+1723        this = self.sql(expression, "this")
+1724        expressions = self.expressions(expression, flat=True)
+1725        return f"CONSTRAINT {this} {expressions}"
 
    
 
 
@@ -9017,10 +9025,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1729    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
-1730        order = expression.args.get("order")
-1731        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
-1732        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+            
    1727    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
+1728        order = expression.args.get("order")
+1729        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
+1730        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
 
    
 
 
@@ -9038,10 +9046,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1734    def extract_sql(self, expression: exp.Extract) -> str:
-1735        this = self.sql(expression, "this")
-1736        expression_sql = self.sql(expression, "expression")
-1737        return f"EXTRACT({this} FROM {expression_sql})"
+            
    1732    def extract_sql(self, expression: exp.Extract) -> str:
+1733        this = self.sql(expression, "this")
+1734        expression_sql = self.sql(expression, "expression")
+1735        return f"EXTRACT({this} FROM {expression_sql})"
 
    
 
 
@@ -9059,15 +9067,15 @@ 
    Arguments:
    
 
     
    
     
-            
    1739    def trim_sql(self, expression: exp.Trim) -> str:
-1740        trim_type = self.sql(expression, "position")
-1741
-1742        if trim_type == "LEADING":
-1743            return self.func("LTRIM", expression.this)
-1744        elif trim_type == "TRAILING":
-1745            return self.func("RTRIM", expression.this)
-1746        else:
-1747            return self.func("TRIM", expression.this, expression.expression)
+            
    1737    def trim_sql(self, expression: exp.Trim) -> str:
+1738        trim_type = self.sql(expression, "position")
+1739
+1740        if trim_type == "LEADING":
+1741            return self.func("LTRIM", expression.this)
+1742        elif trim_type == "TRAILING":
+1743            return self.func("RTRIM", expression.this)
+1744        else:
+1745            return self.func("TRIM", expression.this, expression.expression)
 
    
 
 
@@ -9085,10 +9093,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1749    def concat_sql(self, expression: exp.Concat) -> str:
-1750        if len(expression.expressions) == 1:
-1751            return self.sql(expression.expressions[0])
-1752        return self.function_fallback_sql(expression)
+            
    1747    def concat_sql(self, expression: exp.Concat) -> str:
+1748        if len(expression.expressions) == 1:
+1749            return self.sql(expression.expressions[0])
+1750        return self.function_fallback_sql(expression)
 
    
 
 
@@ -9106,9 +9114,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1754    def check_sql(self, expression: exp.Check) -> str:
-1755        this = self.sql(expression, key="this")
-1756        return f"CHECK ({this})"
+            
    1752    def check_sql(self, expression: exp.Check) -> str:
+1753        this = self.sql(expression, key="this")
+1754        return f"CHECK ({this})"
 
    
 
 
@@ -9126,15 +9134,15 @@ 
    Arguments:
    
 
     
    
     
-            
    1758    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
-1759        expressions = self.expressions(expression, flat=True)
-1760        reference = self.sql(expression, "reference")
-1761        reference = f" {reference}" if reference else ""
-1762        delete = self.sql(expression, "delete")
-1763        delete = f" ON DELETE {delete}" if delete else ""
-1764        update = self.sql(expression, "update")
-1765        update = f" ON UPDATE {update}" if update else ""
-1766        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
+            
    1756    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
+1757        expressions = self.expressions(expression, flat=True)
+1758        reference = self.sql(expression, "reference")
+1759        reference = f" {reference}" if reference else ""
+1760        delete = self.sql(expression, "delete")
+1761        delete = f" ON DELETE {delete}" if delete else ""
+1762        update = self.sql(expression, "update")
+1763        update = f" ON UPDATE {update}" if update else ""
+1764        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
 
    
 
 
@@ -9152,11 +9160,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1768    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
-1769        expressions = self.expressions(expression, flat=True)
-1770        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1771        options = f" {options}" if options else ""
-1772        return f"PRIMARY KEY ({expressions}){options}"
+            
    1766    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
+1767        expressions = self.expressions(expression, flat=True)
+1768        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1769        options = f" {options}" if options else ""
+1770        return f"PRIMARY KEY ({expressions}){options}"
 
    
 
 
@@ -9174,9 +9182,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1774    def unique_sql(self, expression: exp.Unique) -> str:
-1775        columns = self.expressions(expression, key="expressions")
-1776        return f"UNIQUE ({columns})"
+            
    1772    def unique_sql(self, expression: exp.Unique) -> str:
+1773        columns = self.expressions(expression, key="expressions")
+1774        return f"UNIQUE ({columns})"
 
    
 
 
@@ -9194,10 +9202,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1778    def if_sql(self, expression: exp.If) -> str:
-1779        return self.case_sql(
-1780            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
-1781        )
+            
    1776    def if_sql(self, expression: exp.If) -> str:
+1777        return self.case_sql(
+1778            exp.Case(ifs=[expression.copy()], default=expression.args.get("false"))
+1779        )
 
    
 
 
@@ -9215,10 +9223,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1783    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
-1784        modifier = expression.args.get("modifier")
-1785        modifier = f" {modifier}" if modifier else ""
-1786        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
+            
    1781    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
+1782        modifier = expression.args.get("modifier")
+1783        modifier = f" {modifier}" if modifier else ""
+1784        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
 
    
 
 
@@ -9236,8 +9244,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1788    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
-1789        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
+            
    1786    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
+1787        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
 
    
 
 
@@ -9255,21 +9263,21 @@ 
    Arguments:
    
 
     
    
     
-            
    1791    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
-1792        expressions = self.expressions(expression)
-1793        null_handling = expression.args.get("null_handling")
-1794        null_handling = f" {null_handling}" if null_handling else ""
-1795        unique_keys = expression.args.get("unique_keys")
-1796        if unique_keys is not None:
-1797            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
-1798        else:
-1799            unique_keys = ""
-1800        return_type = self.sql(expression, "return_type")
-1801        return_type = f" RETURNING {return_type}" if return_type else ""
-1802        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
-1803        encoding = self.sql(expression, "encoding")
-1804        encoding = f" ENCODING {encoding}" if encoding else ""
-1805        return f"JSON_OBJECT({expressions}{null_handling}{unique_keys}{return_type}{format_json}{encoding})"
+            
    1789    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
+1790        expressions = self.expressions(expression)
+1791        null_handling = expression.args.get("null_handling")
+1792        null_handling = f" {null_handling}" if null_handling else ""
+1793        unique_keys = expression.args.get("unique_keys")
+1794        if unique_keys is not None:
+1795            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
+1796        else:
+1797            unique_keys = ""
+1798        return_type = self.sql(expression, "return_type")
+1799        return_type = f" RETURNING {return_type}" if return_type else ""
+1800        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
+1801        encoding = self.sql(expression, "encoding")
+1802        encoding = f" ENCODING {encoding}" if encoding else ""
+1803        return f"JSON_OBJECT({expressions}{null_handling}{unique_keys}{return_type}{format_json}{encoding})"
 
    
 
 
@@ -9287,13 +9295,13 @@ 
    Arguments:
    
 
     
    
     
-            
    1807    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
-1808        this = self.sql(expression, "this")
-1809        kind = self.sql(expression, "kind")
-1810        path = self.sql(expression, "path")
-1811        path = f" {path}" if path else ""
-1812        as_json = " AS JSON" if expression.args.get("as_json") else ""
-1813        return f"{this} {kind}{path}{as_json}"
+            
    1805    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
+1806        this = self.sql(expression, "this")
+1807        kind = self.sql(expression, "kind")
+1808        path = self.sql(expression, "path")
+1809        path = f" {path}" if path else ""
+1810        as_json = " AS JSON" if expression.args.get("as_json") else ""
+1811        return f"{this} {kind}{path}{as_json}"
 
    
 
 
@@ -9311,17 +9319,17 @@ 
    Arguments:
    
 
     
    
     
-            
    1815    def openjson_sql(self, expression: exp.OpenJSON) -> str:
-1816        this = self.sql(expression, "this")
-1817        path = self.sql(expression, "path")
-1818        path = f", {path}" if path else ""
-1819        expressions = self.expressions(expression)
-1820        with_ = (
-1821            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
-1822            if expressions
-1823            else ""
-1824        )
-1825        return f"OPENJSON({this}{path}){with_}"
+            
    1813    def openjson_sql(self, expression: exp.OpenJSON) -> str:
+1814        this = self.sql(expression, "this")
+1815        path = self.sql(expression, "path")
+1816        path = f", {path}" if path else ""
+1817        expressions = self.expressions(expression)
+1818        with_ = (
+1819            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
+1820            if expressions
+1821            else ""
+1822        )
+1823        return f"OPENJSON({this}{path}){with_}"
 
    
 
 
@@ -9339,22 +9347,22 @@ 
    Arguments:
    
 
     
    
     
-            
    1827    def in_sql(self, expression: exp.In) -> str:
-1828        query = expression.args.get("query")
-1829        unnest = expression.args.get("unnest")
-1830        field = expression.args.get("field")
-1831        is_global = " GLOBAL" if expression.args.get("is_global") else ""
-1832
-1833        if query:
-1834            in_sql = self.wrap(query)
-1835        elif unnest:
-1836            in_sql = self.in_unnest_op(unnest)
-1837        elif field:
-1838            in_sql = self.sql(field)
-1839        else:
-1840            in_sql = f"({self.expressions(expression, flat=True)})"
-1841
-1842        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
+            
    1825    def in_sql(self, expression: exp.In) -> str:
+1826        query = expression.args.get("query")
+1827        unnest = expression.args.get("unnest")
+1828        field = expression.args.get("field")
+1829        is_global = " GLOBAL" if expression.args.get("is_global") else ""
+1830
+1831        if query:
+1832            in_sql = self.wrap(query)
+1833        elif unnest:
+1834            in_sql = self.in_unnest_op(unnest)
+1835        elif field:
+1836            in_sql = self.sql(field)
+1837        else:
+1838            in_sql = f"({self.expressions(expression, flat=True)})"
+1839
+1840        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
 
    
 
 
@@ -9372,8 +9380,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1844    def in_unnest_op(self, unnest: exp.Unnest) -> str:
-1845        return f"(SELECT {self.sql(unnest)})"
+            
    1842    def in_unnest_op(self, unnest: exp.Unnest) -> str:
+1843        return f"(SELECT {self.sql(unnest)})"
 
    
 
 
@@ -9391,22 +9399,22 @@ 
    Arguments:
    
 
     
    
     
-            
    1847    def interval_sql(self, expression: exp.Interval) -> str:
-1848        unit = self.sql(expression, "unit")
-1849        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
-1850            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
-1851        unit = f" {unit}" if unit else ""
-1852
-1853        if self.SINGLE_STRING_INTERVAL:
-1854            this = expression.this.name if expression.this else ""
-1855            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
-1856
-1857        this = self.sql(expression, "this")
-1858        if this:
-1859            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
-1860            this = f" {this}" if unwrapped else f" ({this})"
-1861
-1862        return f"INTERVAL{this}{unit}"
+            
    1845    def interval_sql(self, expression: exp.Interval) -> str:
+1846        unit = self.sql(expression, "unit")
+1847        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
+1848            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
+1849        unit = f" {unit}" if unit else ""
+1850
+1851        if self.SINGLE_STRING_INTERVAL:
+1852            this = expression.this.name if expression.this else ""
+1853            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
+1854
+1855        this = self.sql(expression, "this")
+1856        if this:
+1857            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
+1858            this = f" {this}" if unwrapped else f" ({this})"
+1859
+1860        return f"INTERVAL{this}{unit}"
 
    
 
 
@@ -9424,8 +9432,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1864    def return_sql(self, expression: exp.Return) -> str:
-1865        return f"RETURN {self.sql(expression, 'this')}"
+            
    1862    def return_sql(self, expression: exp.Return) -> str:
+1863        return f"RETURN {self.sql(expression, 'this')}"
 
    
 
 
@@ -9443,13 +9451,13 @@ 
    Arguments:
    
 
     
    
     
-            
    1867    def reference_sql(self, expression: exp.Reference) -> str:
-1868        this = self.sql(expression, "this")
-1869        expressions = self.expressions(expression, flat=True)
-1870        expressions = f"({expressions})" if expressions else ""
-1871        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1872        options = f" {options}" if options else ""
-1873        return f"REFERENCES {this}{expressions}{options}"
+            
    1865    def reference_sql(self, expression: exp.Reference) -> str:
+1866        this = self.sql(expression, "this")
+1867        expressions = self.expressions(expression, flat=True)
+1868        expressions = f"({expressions})" if expressions else ""
+1869        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1870        options = f" {options}" if options else ""
+1871        return f"REFERENCES {this}{expressions}{options}"
 
    
 
 
@@ -9467,8 +9475,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1875    def anonymous_sql(self, expression: exp.Anonymous) -> str:
-1876        return self.func(expression.name, *expression.expressions)
+            
    1873    def anonymous_sql(self, expression: exp.Anonymous) -> str:
+1874        return self.func(expression.name, *expression.expressions)
 
    
 
 
@@ -9486,14 +9494,14 @@ 
    Arguments:
    
 
     
    
     
-            
    1878    def paren_sql(self, expression: exp.Paren) -> str:
-1879        if isinstance(expression.unnest(), exp.Select):
-1880            sql = self.wrap(expression)
-1881        else:
-1882            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
-1883            sql = f"({sql}{self.seg(')', sep='')}"
-1884
-1885        return self.prepend_ctes(expression, sql)
+            
    1876    def paren_sql(self, expression: exp.Paren) -> str:
+1877        if isinstance(expression.unnest(), exp.Select):
+1878            sql = self.wrap(expression)
+1879        else:
+1880            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
+1881            sql = f"({sql}{self.seg(')', sep='')}"
+1882
+1883        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -9511,11 +9519,11 @@ 
    Arguments:
    
 
     
    
     
-            
    1887    def neg_sql(self, expression: exp.Neg) -> str:
-1888        # This makes sure we don't convert "- - 5" to "--5", which is a comment
-1889        this_sql = self.sql(expression, "this")
-1890        sep = " " if this_sql[0] == "-" else ""
-1891        return f"-{sep}{this_sql}"
+            
    1885    def neg_sql(self, expression: exp.Neg) -> str:
+1886        # This makes sure we don't convert "- - 5" to "--5", which is a comment
+1887        this_sql = self.sql(expression, "this")
+1888        sep = " " if this_sql[0] == "-" else ""
+1889        return f"-{sep}{this_sql}"
 
    
 
 
@@ -9533,8 +9541,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1893    def not_sql(self, expression: exp.Not) -> str:
-1894        return f"NOT {self.sql(expression, 'this')}"
+            
    1891    def not_sql(self, expression: exp.Not) -> str:
+1892        return f"NOT {self.sql(expression, 'this')}"
 
    
 
 
@@ -9552,10 +9560,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1896    def alias_sql(self, expression: exp.Alias) -> str:
-1897        alias = self.sql(expression, "alias")
-1898        alias = f" AS {alias}" if alias else ""
-1899        return f"{self.sql(expression, 'this')}{alias}"
+            
    1894    def alias_sql(self, expression: exp.Alias) -> str:
+1895        alias = self.sql(expression, "alias")
+1896        alias = f" AS {alias}" if alias else ""
+1897        return f"{self.sql(expression, 'this')}{alias}"
 
    
 
 
@@ -9573,8 +9581,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1901    def aliases_sql(self, expression: exp.Aliases) -> str:
-1902        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
+            
    1899    def aliases_sql(self, expression: exp.Aliases) -> str:
+1900        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
 
    
 
 
@@ -9592,10 +9600,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1904    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
-1905        this = self.sql(expression, "this")
-1906        zone = self.sql(expression, "zone")
-1907        return f"{this} AT TIME ZONE {zone}"
+            
    1902    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
+1903        this = self.sql(expression, "this")
+1904        zone = self.sql(expression, "zone")
+1905        return f"{this} AT TIME ZONE {zone}"
 
    
 
 
@@ -9613,8 +9621,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1909    def add_sql(self, expression: exp.Add) -> str:
-1910        return self.binary(expression, "+")
+            
    1907    def add_sql(self, expression: exp.Add) -> str:
+1908        return self.binary(expression, "+")
 
    
 
 
@@ -9632,8 +9640,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1912    def and_sql(self, expression: exp.And) -> str:
-1913        return self.connector_sql(expression, "AND")
+            
    1910    def and_sql(self, expression: exp.And) -> str:
+1911        return self.connector_sql(expression, "AND")
 
    
 
 
@@ -9651,17 +9659,17 @@ 
    Arguments:
    
 
     
    
     
-            
    1915    def connector_sql(self, expression: exp.Connector, op: str) -> str:
-1916        if not self.pretty:
-1917            return self.binary(expression, op)
-1918
-1919        sqls = tuple(
-1920            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
-1921            for i, e in enumerate(expression.flatten(unnest=False))
-1922        )
-1923
-1924        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
-1925        return f"{sep}{op} ".join(sqls)
+            
    1913    def connector_sql(self, expression: exp.Connector, op: str) -> str:
+1914        if not self.pretty:
+1915            return self.binary(expression, op)
+1916
+1917        sqls = tuple(
+1918            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
+1919            for i, e in enumerate(expression.flatten(unnest=False))
+1920        )
+1921
+1922        sep = "\n" if self.text_width(sqls) > self._max_text_width else " "
+1923        return f"{sep}{op} ".join(sqls)
 
    
 
 
@@ -9679,8 +9687,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1927    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
-1928        return self.binary(expression, "&")
+            
    1925    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
+1926        return self.binary(expression, "&")
 
    
 
 
@@ -9698,8 +9706,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1930    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
-1931        return self.binary(expression, "<<")
+            
    1928    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
+1929        return self.binary(expression, "<<")
 
    
 
 
@@ -9717,8 +9725,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1933    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
-1934        return f"~{self.sql(expression, 'this')}"
+            
    1931    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
+1932        return f"~{self.sql(expression, 'this')}"
 
    
 
 
@@ -9736,8 +9744,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1936    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
-1937        return self.binary(expression, "|")
+            
    1934    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
+1935        return self.binary(expression, "|")
 
    
 
 
@@ -9755,8 +9763,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1939    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
-1940        return self.binary(expression, ">>")
+            
    1937    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
+1938        return self.binary(expression, ">>")
 
    
 
 
@@ -9774,8 +9782,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1942    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
-1943        return self.binary(expression, "^")
+            
    1940    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
+1941        return self.binary(expression, "^")
 
    
 
 
@@ -9793,8 +9801,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1945    def cast_sql(self, expression: exp.Cast) -> str:
-1946        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+            
    1943    def cast_sql(self, expression: exp.Cast) -> str:
+1944        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
 
    
 
 
@@ -9812,9 +9820,9 @@ 
    Arguments:
    
 
     
    
     
-            
    1948    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
-1949        zone = self.sql(expression, "this")
-1950        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
+            
    1946    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
+1947        zone = self.sql(expression, "this")
+1948        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
 
    
 
 
@@ -9832,8 +9840,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1952    def collate_sql(self, expression: exp.Collate) -> str:
-1953        return self.binary(expression, "COLLATE")
+            
    1950    def collate_sql(self, expression: exp.Collate) -> str:
+1951        return self.binary(expression, "COLLATE")
 
    
 
 
@@ -9851,8 +9859,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1955    def command_sql(self, expression: exp.Command) -> str:
-1956        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
+            
    1953    def command_sql(self, expression: exp.Command) -> str:
+1954        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
 
    
 
 
@@ -9870,12 +9878,12 @@ 
    Arguments:
    
 
     
    
     
-            
    1958    def comment_sql(self, expression: exp.Comment) -> str:
-1959        this = self.sql(expression, "this")
-1960        kind = expression.args["kind"]
-1961        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-1962        expression_sql = self.sql(expression, "expression")
-1963        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
+            
    1956    def comment_sql(self, expression: exp.Comment) -> str:
+1957        this = self.sql(expression, "this")
+1958        kind = expression.args["kind"]
+1959        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+1960        expression_sql = self.sql(expression, "expression")
+1961        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
 
    
 
 
@@ -9893,16 +9901,16 @@ 
    Arguments:
    
 
     
    
     
-            
    1965    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
-1966        this = self.sql(expression, "this")
-1967        delete = " DELETE" if expression.args.get("delete") else ""
-1968        recompress = self.sql(expression, "recompress")
-1969        recompress = f" RECOMPRESS {recompress}" if recompress else ""
-1970        to_disk = self.sql(expression, "to_disk")
-1971        to_disk = f" TO DISK {to_disk}" if to_disk else ""
-1972        to_volume = self.sql(expression, "to_volume")
-1973        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
-1974        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
+            
    1963    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
+1964        this = self.sql(expression, "this")
+1965        delete = " DELETE" if expression.args.get("delete") else ""
+1966        recompress = self.sql(expression, "recompress")
+1967        recompress = f" RECOMPRESS {recompress}" if recompress else ""
+1968        to_disk = self.sql(expression, "to_disk")
+1969        to_disk = f" TO DISK {to_disk}" if to_disk else ""
+1970        to_volume = self.sql(expression, "to_volume")
+1971        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
+1972        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
 
    
 
 
@@ -9920,16 +9928,16 @@ 
    Arguments:
    
 
     
    
     
-            
    1976    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
-1977        where = self.sql(expression, "where")
-1978        group = self.sql(expression, "group")
-1979        aggregates = self.expressions(expression, key="aggregates")
-1980        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
-1981
-1982        if not (where or group or aggregates) and len(expression.expressions) == 1:
-1983            return f"TTL {self.expressions(expression, flat=True)}"
-1984
-1985        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
+            
    1974    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
+1975        where = self.sql(expression, "where")
+1976        group = self.sql(expression, "group")
+1977        aggregates = self.expressions(expression, key="aggregates")
+1978        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
+1979
+1980        if not (where or group or aggregates) and len(expression.expressions) == 1:
+1981            return f"TTL {self.expressions(expression, flat=True)}"
+1982
+1983        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
 
    
 
 
@@ -9947,8 +9955,8 @@ 
    Arguments:
    
 
     
    
     
-            
    1987    def transaction_sql(self, expression: exp.Transaction) -> str:
-1988        return "BEGIN"
+            
    1985    def transaction_sql(self, expression: exp.Transaction) -> str:
+1986        return "BEGIN"
 
    
 
 
@@ -9966,12 +9974,12 @@ 
    Arguments:
    
 
     
    
     
-            
    1990    def commit_sql(self, expression: exp.Commit) -> str:
-1991        chain = expression.args.get("chain")
-1992        if chain is not None:
-1993            chain = " AND CHAIN" if chain else " AND NO CHAIN"
-1994
-1995        return f"COMMIT{chain or ''}"
+            
    1988    def commit_sql(self, expression: exp.Commit) -> str:
+1989        chain = expression.args.get("chain")
+1990        if chain is not None:
+1991            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+1992
+1993        return f"COMMIT{chain or ''}"
 
    
 
 
@@ -9989,10 +9997,10 @@ 
    Arguments:
    
 
     
    
     
-            
    1997    def rollback_sql(self, expression: exp.Rollback) -> str:
-1998        savepoint = expression.args.get("savepoint")
-1999        savepoint = f" TO {savepoint}" if savepoint else ""
-2000        return f"ROLLBACK{savepoint}"
+            
    1995    def rollback_sql(self, expression: exp.Rollback) -> str:
+1996        savepoint = expression.args.get("savepoint")
+1997        savepoint = f" TO {savepoint}" if savepoint else ""
+1998        return f"ROLLBACK{savepoint}"
 
    
 
 
@@ -10010,25 +10018,25 @@ 
    Arguments:
    
 
     
    
     
-            
    2002    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
-2003        this = self.sql(expression, "this")
-2004
-2005        dtype = self.sql(expression, "dtype")
-2006        if dtype:
-2007            collate = self.sql(expression, "collate")
-2008            collate = f" COLLATE {collate}" if collate else ""
-2009            using = self.sql(expression, "using")
-2010            using = f" USING {using}" if using else ""
-2011            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
-2012
-2013        default = self.sql(expression, "default")
-2014        if default:
-2015            return f"ALTER COLUMN {this} SET DEFAULT {default}"
-2016
-2017        if not expression.args.get("drop"):
-2018            self.unsupported("Unsupported ALTER COLUMN syntax")
-2019
-2020        return f"ALTER COLUMN {this} DROP DEFAULT"
+            
    2000    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
+2001        this = self.sql(expression, "this")
+2002
+2003        dtype = self.sql(expression, "dtype")
+2004        if dtype:
+2005            collate = self.sql(expression, "collate")
+2006            collate = f" COLLATE {collate}" if collate else ""
+2007            using = self.sql(expression, "using")
+2008            using = f" USING {using}" if using else ""
+2009            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
+2010
+2011        default = self.sql(expression, "default")
+2012        if default:
+2013            return f"ALTER COLUMN {this} SET DEFAULT {default}"
+2014
+2015        if not expression.args.get("drop"):
+2016            self.unsupported("Unsupported ALTER COLUMN syntax")
+2017
+2018        return f"ALTER COLUMN {this} DROP DEFAULT"
 
    
 
 
@@ -10046,14 +10054,14 @@ 
    Arguments:
    
 
     
    
     
-            
    2022    def renametable_sql(self, expression: exp.RenameTable) -> str:
-2023        if not self.RENAME_TABLE_WITH_DB:
-2024            # Remove db from tables
-2025            expression = expression.transform(
-2026                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
-2027            )
-2028        this = self.sql(expression, "this")
-2029        return f"RENAME TO {this}"
+            
    2020    def renametable_sql(self, expression: exp.RenameTable) -> str:
+2021        if not self.RENAME_TABLE_WITH_DB:
+2022            # Remove db from tables
+2023            expression = expression.transform(
+2024                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
+2025            )
+2026        this = self.sql(expression, "this")
+2027        return f"RENAME TO {this}"
 
    
 
 
@@ -10071,20 +10079,20 @@ 
    Arguments:
    
 
     
    
     
-            
    2031    def altertable_sql(self, expression: exp.AlterTable) -> str:
-2032        actions = expression.args["actions"]
-2033
-2034        if isinstance(actions[0], exp.ColumnDef):
-2035            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
-2036        elif isinstance(actions[0], exp.Schema):
-2037            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
-2038        elif isinstance(actions[0], exp.Delete):
-2039            actions = self.expressions(expression, key="actions", flat=True)
-2040        else:
-2041            actions = self.expressions(expression, key="actions")
-2042
-2043        exists = " IF EXISTS" if expression.args.get("exists") else ""
-2044        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+            
    2029    def altertable_sql(self, expression: exp.AlterTable) -> str:
+2030        actions = expression.args["actions"]
+2031
+2032        if isinstance(actions[0], exp.ColumnDef):
+2033            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
+2034        elif isinstance(actions[0], exp.Schema):
+2035            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
+2036        elif isinstance(actions[0], exp.Delete):
+2037            actions = self.expressions(expression, key="actions", flat=True)
+2038        else:
+2039            actions = self.expressions(expression, key="actions")
+2040
+2041        exists = " IF EXISTS" if expression.args.get("exists") else ""
+2042        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
 
    
 
 
@@ -10102,10 +10110,10 @@ 
    Arguments:
    
 
     
    
     
-            
    2046    def droppartition_sql(self, expression: exp.DropPartition) -> str:
-2047        expressions = self.expressions(expression)
-2048        exists = " IF EXISTS " if expression.args.get("exists") else " "
-2049        return f"DROP{exists}{expressions}"
+            
    2044    def droppartition_sql(self, expression: exp.DropPartition) -> str:
+2045        expressions = self.expressions(expression)
+2046        exists = " IF EXISTS " if expression.args.get("exists") else " "
+2047        return f"DROP{exists}{expressions}"
 
    
 
 
@@ -10123,16 +10131,16 @@ 
    Arguments:
    
 
     
    
     
-            
    2051    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
-2052        this = self.sql(expression, "this")
-2053        expression_ = self.sql(expression, "expression")
-2054        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
-2055
-2056        enforced = expression.args.get("enforced")
-2057        if enforced is not None:
-2058            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
-2059
-2060        return f"{add_constraint} {expression_}"
+            
    2049    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
+2050        this = self.sql(expression, "this")
+2051        expression_ = self.sql(expression, "expression")
+2052        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
+2053
+2054        enforced = expression.args.get("enforced")
+2055        if enforced is not None:
+2056            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2057
+2058        return f"{add_constraint} {expression_}"
 
    
 
 
@@ -10150,13 +10158,13 @@ 
    Arguments:
    
 
     
    
     
-            
    2062    def distinct_sql(self, expression: exp.Distinct) -> str:
-2063        this = self.expressions(expression, flat=True)
-2064        this = f" {this}" if this else ""
-2065
-2066        on = self.sql(expression, "on")
-2067        on = f" ON {on}" if on else ""
-2068        return f"DISTINCT{this}{on}"
+            
    2060    def distinct_sql(self, expression: exp.Distinct) -> str:
+2061        this = self.expressions(expression, flat=True)
+2062        this = f" {this}" if this else ""
+2063
+2064        on = self.sql(expression, "on")
+2065        on = f" ON {on}" if on else ""
+2066        return f"DISTINCT{this}{on}"
 
    
 
 
@@ -10174,8 +10182,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2070    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
-2071        return f"{self.sql(expression, 'this')} IGNORE NULLS"
+            
    2068    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
+2069        return f"{self.sql(expression, 'this')} IGNORE NULLS"
 
    
 
 
@@ -10193,8 +10201,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2073    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
-2074        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+            
    2071    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
+2072        return f"{self.sql(expression, 'this')} RESPECT NULLS"
 
    
 
 
@@ -10212,13 +10220,13 @@ 
    Arguments:
    
 
     
    
     
-            
    2076    def intdiv_sql(self, expression: exp.IntDiv) -> str:
-2077        return self.sql(
-2078            exp.Cast(
-2079                this=exp.Div(this=expression.this, expression=expression.expression),
-2080                to=exp.DataType(this=exp.DataType.Type.INT),
-2081            )
-2082        )
+            
    2074    def intdiv_sql(self, expression: exp.IntDiv) -> str:
+2075        return self.sql(
+2076            exp.Cast(
+2077                this=exp.Div(this=expression.this, expression=expression.expression),
+2078                to=exp.DataType(this=exp.DataType.Type.INT),
+2079            )
+2080        )
 
    
 
 
@@ -10236,8 +10244,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2084    def dpipe_sql(self, expression: exp.DPipe) -> str:
-2085        return self.binary(expression, "||")
+            
    2082    def dpipe_sql(self, expression: exp.DPipe) -> str:
+2083        return self.binary(expression, "||")
 
    
 
 
@@ -10255,8 +10263,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2087    def div_sql(self, expression: exp.Div) -> str:
-2088        return self.binary(expression, "/")
+            
    2085    def div_sql(self, expression: exp.Div) -> str:
+2086        return self.binary(expression, "/")
 
    
 
 
@@ -10274,8 +10282,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2090    def overlaps_sql(self, expression: exp.Overlaps) -> str:
-2091        return self.binary(expression, "OVERLAPS")
+            
    2088    def overlaps_sql(self, expression: exp.Overlaps) -> str:
+2089        return self.binary(expression, "OVERLAPS")
 
    
 
 
@@ -10293,8 +10301,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2093    def distance_sql(self, expression: exp.Distance) -> str:
-2094        return self.binary(expression, "<->")
+            
    2091    def distance_sql(self, expression: exp.Distance) -> str:
+2092        return self.binary(expression, "<->")
 
    
 
 
@@ -10312,8 +10320,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2096    def dot_sql(self, expression: exp.Dot) -> str:
-2097        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
+            
    2094    def dot_sql(self, expression: exp.Dot) -> str:
+2095        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
 
    
 
 
@@ -10331,8 +10339,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2099    def eq_sql(self, expression: exp.EQ) -> str:
-2100        return self.binary(expression, "=")
+            
    2097    def eq_sql(self, expression: exp.EQ) -> str:
+2098        return self.binary(expression, "=")
 
    
 
 
@@ -10350,8 +10358,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2102    def escape_sql(self, expression: exp.Escape) -> str:
-2103        return self.binary(expression, "ESCAPE")
+            
    2100    def escape_sql(self, expression: exp.Escape) -> str:
+2101        return self.binary(expression, "ESCAPE")
 
    
 
 
@@ -10369,8 +10377,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2105    def glob_sql(self, expression: exp.Glob) -> str:
-2106        return self.binary(expression, "GLOB")
+            
    2103    def glob_sql(self, expression: exp.Glob) -> str:
+2104        return self.binary(expression, "GLOB")
 
    
 
 
@@ -10388,8 +10396,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2108    def gt_sql(self, expression: exp.GT) -> str:
-2109        return self.binary(expression, ">")
+            
    2106    def gt_sql(self, expression: exp.GT) -> str:
+2107        return self.binary(expression, ">")
 
    
 
 
@@ -10407,8 +10415,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2111    def gte_sql(self, expression: exp.GTE) -> str:
-2112        return self.binary(expression, ">=")
+            
    2109    def gte_sql(self, expression: exp.GTE) -> str:
+2110        return self.binary(expression, ">=")
 
    
 
 
@@ -10426,8 +10434,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2114    def ilike_sql(self, expression: exp.ILike) -> str:
-2115        return self.binary(expression, "ILIKE")
+            
    2112    def ilike_sql(self, expression: exp.ILike) -> str:
+2113        return self.binary(expression, "ILIKE")
 
    
 
 
@@ -10445,8 +10453,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2117    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
-2118        return self.binary(expression, "ILIKE ANY")
+            
    2115    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
+2116        return self.binary(expression, "ILIKE ANY")
 
    
 
 
@@ -10464,8 +10472,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2120    def is_sql(self, expression: exp.Is) -> str:
-2121        return self.binary(expression, "IS")
+            
    2118    def is_sql(self, expression: exp.Is) -> str:
+2119        return self.binary(expression, "IS")
 
    
 
 
@@ -10483,8 +10491,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2123    def like_sql(self, expression: exp.Like) -> str:
-2124        return self.binary(expression, "LIKE")
+            
    2121    def like_sql(self, expression: exp.Like) -> str:
+2122        return self.binary(expression, "LIKE")
 
    
 
 
@@ -10502,8 +10510,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2126    def likeany_sql(self, expression: exp.LikeAny) -> str:
-2127        return self.binary(expression, "LIKE ANY")
+            
    2124    def likeany_sql(self, expression: exp.LikeAny) -> str:
+2125        return self.binary(expression, "LIKE ANY")
 
    
 
 
@@ -10521,8 +10529,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2129    def similarto_sql(self, expression: exp.SimilarTo) -> str:
-2130        return self.binary(expression, "SIMILAR TO")
+            
    2127    def similarto_sql(self, expression: exp.SimilarTo) -> str:
+2128        return self.binary(expression, "SIMILAR TO")
 
    
 
 
@@ -10540,8 +10548,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2132    def lt_sql(self, expression: exp.LT) -> str:
-2133        return self.binary(expression, "<")
+            
    2130    def lt_sql(self, expression: exp.LT) -> str:
+2131        return self.binary(expression, "<")
 
    
 
 
@@ -10559,8 +10567,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2135    def lte_sql(self, expression: exp.LTE) -> str:
-2136        return self.binary(expression, "<=")
+            
    2133    def lte_sql(self, expression: exp.LTE) -> str:
+2134        return self.binary(expression, "<=")
 
    
 
 
@@ -10578,8 +10586,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2138    def mod_sql(self, expression: exp.Mod) -> str:
-2139        return self.binary(expression, "%")
+            
    2136    def mod_sql(self, expression: exp.Mod) -> str:
+2137        return self.binary(expression, "%")
 
    
 
 
@@ -10597,8 +10605,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2141    def mul_sql(self, expression: exp.Mul) -> str:
-2142        return self.binary(expression, "*")
+            
    2139    def mul_sql(self, expression: exp.Mul) -> str:
+2140        return self.binary(expression, "*")
 
    
 
 
@@ -10616,8 +10624,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2144    def neq_sql(self, expression: exp.NEQ) -> str:
-2145        return self.binary(expression, "<>")
+            
    2142    def neq_sql(self, expression: exp.NEQ) -> str:
+2143        return self.binary(expression, "<>")
 
    
 
 
@@ -10635,8 +10643,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2147    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
-2148        return self.binary(expression, "IS NOT DISTINCT FROM")
+            
    2145    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
+2146        return self.binary(expression, "IS NOT DISTINCT FROM")
 
    
 
 
@@ -10654,8 +10662,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2150    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
-2151        return self.binary(expression, "IS DISTINCT FROM")
+            
    2148    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
+2149        return self.binary(expression, "IS DISTINCT FROM")
 
    
 
 
@@ -10673,8 +10681,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2153    def or_sql(self, expression: exp.Or) -> str:
-2154        return self.connector_sql(expression, "OR")
+            
    2151    def or_sql(self, expression: exp.Or) -> str:
+2152        return self.connector_sql(expression, "OR")
 
    
 
 
@@ -10692,8 +10700,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2156    def slice_sql(self, expression: exp.Slice) -> str:
-2157        return self.binary(expression, ":")
+            
    2154    def slice_sql(self, expression: exp.Slice) -> str:
+2155        return self.binary(expression, ":")
 
    
 
 
@@ -10711,8 +10719,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2159    def sub_sql(self, expression: exp.Sub) -> str:
-2160        return self.binary(expression, "-")
+            
    2157    def sub_sql(self, expression: exp.Sub) -> str:
+2158        return self.binary(expression, "-")
 
    
 
 
@@ -10730,8 +10738,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2162    def trycast_sql(self, expression: exp.TryCast) -> str:
-2163        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+            
    2160    def trycast_sql(self, expression: exp.TryCast) -> str:
+2161        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
 
    
 
 
@@ -10749,12 +10757,12 @@ 
    Arguments:
    
 
     
    
     
-            
    2165    def use_sql(self, expression: exp.Use) -> str:
-2166        kind = self.sql(expression, "kind")
-2167        kind = f" {kind}" if kind else ""
-2168        this = self.sql(expression, "this")
-2169        this = f" {this}" if this else ""
-2170        return f"USE{kind}{this}"
+            
    2163    def use_sql(self, expression: exp.Use) -> str:
+2164        kind = self.sql(expression, "kind")
+2165        kind = f" {kind}" if kind else ""
+2166        this = self.sql(expression, "this")
+2167        this = f" {this}" if this else ""
+2168        return f"USE{kind}{this}"
 
    
 
 
@@ -10772,9 +10780,9 @@ 
    Arguments:
    
 
     
    
     
-            
    2172    def binary(self, expression: exp.Binary, op: str) -> str:
-2173        op = self.maybe_comment(op, comments=expression.comments)
-2174        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
+            
    2170    def binary(self, expression: exp.Binary, op: str) -> str:
+2171        op = self.maybe_comment(op, comments=expression.comments)
+2172        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
 
    
 
 
@@ -10792,16 +10800,16 @@ 
    Arguments:
    
 
     
    
     
-            
    2176    def function_fallback_sql(self, expression: exp.Func) -> str:
-2177        args = []
-2178        for arg_value in expression.args.values():
-2179            if isinstance(arg_value, list):
-2180                for value in arg_value:
-2181                    args.append(value)
-2182            else:
-2183                args.append(arg_value)
-2184
-2185        return self.func(expression.sql_name(), *args)
+            
    2174    def function_fallback_sql(self, expression: exp.Func) -> str:
+2175        args = []
+2176        for arg_value in expression.args.values():
+2177            if isinstance(arg_value, list):
+2178                for value in arg_value:
+2179                    args.append(value)
+2180            else:
+2181                args.append(arg_value)
+2182
+2183        return self.func(expression.sql_name(), *args)
 
    
 
 
@@ -10819,8 +10827,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2187    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
-2188        return f"{self.normalize_func(name)}({self.format_args(*args)})"
+            
    2185    def func(self, name: str, *args: t.Optional[exp.Expression | str]) -> str:
+2186        return f"{self.normalize_func(name)}({self.format_args(*args)})"
 
    
 
 
@@ -10838,11 +10846,11 @@ 
    Arguments:
    
 
     
    
     
-            
    2190    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
-2191        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
-2192        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
-2193            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
-2194        return ", ".join(arg_sqls)
+            
    2188    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
+2189        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
+2190        if self.pretty and self.text_width(arg_sqls) > self._max_text_width:
+2191            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
+2192        return ", ".join(arg_sqls)
 
    
 
 
@@ -10860,8 +10868,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2196    def text_width(self, args: t.Iterable) -> int:
-2197        return sum(len(arg) for arg in args)
+            
    2194    def text_width(self, args: t.Iterable) -> int:
+2195        return sum(len(arg) for arg in args)
 
    
 
 
@@ -10879,8 +10887,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2199    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
-2200        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
+            
    2197    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
+2198        return format_time(self.sql(expression, "format"), self.time_mapping, self.time_trie)
 
    
 
 
@@ -10898,47 +10906,47 @@ 
    Arguments:
    
 
     
    
     
-            
    2202    def expressions(
-2203        self,
-2204        expression: t.Optional[exp.Expression] = None,
-2205        key: t.Optional[str] = None,
-2206        sqls: t.Optional[t.List[str]] = None,
-2207        flat: bool = False,
-2208        indent: bool = True,
-2209        sep: str = ", ",
-2210        prefix: str = "",
-2211    ) -> str:
-2212        expressions = expression.args.get(key or "expressions") if expression else sqls
-2213
-2214        if not expressions:
-2215            return ""
-2216
-2217        if flat:
-2218            return sep.join(self.sql(e) for e in expressions)
+            
    2200    def expressions(
+2201        self,
+2202        expression: t.Optional[exp.Expression] = None,
+2203        key: t.Optional[str] = None,
+2204        sqls: t.Optional[t.List[str]] = None,
+2205        flat: bool = False,
+2206        indent: bool = True,
+2207        sep: str = ", ",
+2208        prefix: str = "",
+2209    ) -> str:
+2210        expressions = expression.args.get(key or "expressions") if expression else sqls
+2211
+2212        if not expressions:
+2213            return ""
+2214
+2215        if flat:
+2216            return sep.join(self.sql(e) for e in expressions)
+2217
+2218        num_sqls = len(expressions)
 2219
-2220        num_sqls = len(expressions)
-2221
-2222        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
-2223        pad = " " * self.pad
-2224        stripped_sep = sep.strip()
-2225
-2226        result_sqls = []
-2227        for i, e in enumerate(expressions):
-2228            sql = self.sql(e, comment=False)
-2229            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
-2230
-2231            if self.pretty:
-2232                if self._leading_comma:
-2233                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
-2234                else:
-2235                    result_sqls.append(
-2236                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
-2237                    )
-2238            else:
-2239                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
-2240
-2241        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
-2242        return self.indent(result_sql, skip_first=False) if indent else result_sql
+2220        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
+2221        pad = " " * self.pad
+2222        stripped_sep = sep.strip()
+2223
+2224        result_sqls = []
+2225        for i, e in enumerate(expressions):
+2226            sql = self.sql(e, comment=False)
+2227            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
+2228
+2229            if self.pretty:
+2230                if self._leading_comma:
+2231                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
+2232                else:
+2233                    result_sqls.append(
+2234                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
+2235                    )
+2236            else:
+2237                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
+2238
+2239        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
+2240        return self.indent(result_sql, skip_first=False) if indent else result_sql
 
    
 
 
@@ -10956,12 +10964,12 @@ 
    Arguments:
    
 
     
    
     
-            
    2244    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
-2245        flat = flat or isinstance(expression.parent, exp.Properties)
-2246        expressions_sql = self.expressions(expression, flat=flat)
-2247        if flat:
-2248            return f"{op} {expressions_sql}"
-2249        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
+            
    2242    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
+2243        flat = flat or isinstance(expression.parent, exp.Properties)
+2244        expressions_sql = self.expressions(expression, flat=flat)
+2245        if flat:
+2246            return f"{op} {expressions_sql}"
+2247        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
 
    
 
 
@@ -10979,11 +10987,11 @@ 
    Arguments:
    
 
     
    
     
-            
    2251    def naked_property(self, expression: exp.Property) -> str:
-2252        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
-2253        if not property_name:
-2254            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
-2255        return f"{property_name} {self.sql(expression, 'this')}"
+            
    2249    def naked_property(self, expression: exp.Property) -> str:
+2250        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
+2251        if not property_name:
+2252            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
+2253        return f"{property_name} {self.sql(expression, 'this')}"
 
    
 
 
@@ -11001,12 +11009,12 @@ 
    Arguments:
    
 
     
    
     
-            
    2257    def set_operation(self, expression: exp.Expression, op: str) -> str:
-2258        this = self.sql(expression, "this")
-2259        op = self.seg(op)
-2260        return self.query_modifiers(
-2261            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
-2262        )
+            
    2255    def set_operation(self, expression: exp.Expression, op: str) -> str:
+2256        this = self.sql(expression, "this")
+2257        op = self.seg(op)
+2258        return self.query_modifiers(
+2259            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
+2260        )
 
    
 
 
@@ -11024,8 +11032,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2264    def tag_sql(self, expression: exp.Tag) -> str:
-2265        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
+            
    2262    def tag_sql(self, expression: exp.Tag) -> str:
+2263        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
 
    
 
 
@@ -11043,8 +11051,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2267    def token_sql(self, token_type: TokenType) -> str:
-2268        return self.TOKEN_MAPPING.get(token_type, token_type.name)
+            
    2265    def token_sql(self, token_type: TokenType) -> str:
+2266        return self.TOKEN_MAPPING.get(token_type, token_type.name)
 
    
 
 
@@ -11062,13 +11070,13 @@ 
    Arguments:
    
 
     
    
     
-            
    2270    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
-2271        this = self.sql(expression, "this")
-2272        expressions = self.no_identify(self.expressions, expression)
-2273        expressions = (
-2274            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
-2275        )
-2276        return f"{this}{expressions}"
+            
    2268    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
+2269        this = self.sql(expression, "this")
+2270        expressions = self.no_identify(self.expressions, expression)
+2271        expressions = (
+2272            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
+2273        )
+2274        return f"{this}{expressions}"
 
    
 
 
@@ -11086,10 +11094,10 @@ 
    Arguments:
    
 
     
    
     
-            
    2278    def joinhint_sql(self, expression: exp.JoinHint) -> str:
-2279        this = self.sql(expression, "this")
-2280        expressions = self.expressions(expression, flat=True)
-2281        return f"{this}({expressions})"
+            
    2276    def joinhint_sql(self, expression: exp.JoinHint) -> str:
+2277        this = self.sql(expression, "this")
+2278        expressions = self.expressions(expression, flat=True)
+2279        return f"{this}({expressions})"
 
    
 
 
@@ -11107,8 +11115,8 @@ 
    Arguments:
    
 
     
    
     
-            
    2283    def kwarg_sql(self, expression: exp.Kwarg) -> str:
-2284        return self.binary(expression, "=>")
+            
    2281    def kwarg_sql(self, expression: exp.Kwarg) -> str:
+2282        return self.binary(expression, "=>")
 
    
 
 
@@ -11126,25 +11134,25 @@ 
    Arguments:
    
 
     
    
     
-            
    2286    def when_sql(self, expression: exp.When) -> str:
-2287        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
-2288        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
-2289        condition = self.sql(expression, "condition")
-2290        condition = f" AND {condition}" if condition else ""
-2291
-2292        then_expression = expression.args.get("then")
-2293        if isinstance(then_expression, exp.Insert):
-2294            then = f"INSERT {self.sql(then_expression, 'this')}"
-2295            if "expression" in then_expression.args:
-2296                then += f" VALUES {self.sql(then_expression, 'expression')}"
-2297        elif isinstance(then_expression, exp.Update):
-2298            if isinstance(then_expression.args.get("expressions"), exp.Star):
-2299                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
-2300            else:
-2301                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
-2302        else:
-2303            then = self.sql(then_expression)
-2304        return f"WHEN {matched}{source}{condition} THEN {then}"
+            
    2284    def when_sql(self, expression: exp.When) -> str:
+2285        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
+2286        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
+2287        condition = self.sql(expression, "condition")
+2288        condition = f" AND {condition}" if condition else ""
+2289
+2290        then_expression = expression.args.get("then")
+2291        if isinstance(then_expression, exp.Insert):
+2292            then = f"INSERT {self.sql(then_expression, 'this')}"
+2293            if "expression" in then_expression.args:
+2294                then += f" VALUES {self.sql(then_expression, 'expression')}"
+2295        elif isinstance(then_expression, exp.Update):
+2296            if isinstance(then_expression.args.get("expressions"), exp.Star):
+2297                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
+2298            else:
+2299                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
+2300        else:
+2301            then = self.sql(then_expression)
+2302        return f"WHEN {matched}{source}{condition} THEN {then}"
 
    
 
 
@@ -11162,11 +11170,11 @@ 
    Arguments:
    
 
     
    
     
-            
    2306    def merge_sql(self, expression: exp.Merge) -> str:
-2307        this = self.sql(expression, "this")
-2308        using = f"USING {self.sql(expression, 'using')}"
-2309        on = f"ON {self.sql(expression, 'on')}"
-2310        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
+            
    2304    def merge_sql(self, expression: exp.Merge) -> str:
+2305        this = self.sql(expression, "this")
+2306        using = f"USING {self.sql(expression, 'using')}"
+2307        on = f"ON {self.sql(expression, 'on')}"
+2308        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
 
    
 
 
@@ -11184,11 +11192,11 @@ 
    Arguments:
    
 
     
    
     
-            
    2312    def tochar_sql(self, expression: exp.ToChar) -> str:
-2313        if expression.args.get("format"):
-2314            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
-2315
-2316        return self.sql(exp.cast(expression.this, "text"))
+            
    2310    def tochar_sql(self, expression: exp.ToChar) -> str:
+2311        if expression.args.get("format"):
+2312            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2313
+2314        return self.sql(exp.cast(expression.this, "text"))
 
    
 
 
@@ -11207,13 +11215,13 @@ 
    Arguments:
    
 
     
    
     
-            
    2319def cached_generator(
-2320    cache: t.Optional[t.Dict[int, str]] = None
-2321) -> t.Callable[[exp.Expression], str]:
-2322    """Returns a cached generator."""
-2323    cache = {} if cache is None else cache
-2324    generator = Generator(normalize=True, identify="safe")
-2325    return lambda e: generator.generate(e, cache)
+            
    2317def cached_generator(
+2318    cache: t.Optional[t.Dict[int, str]] = None
+2319) -> t.Callable[[exp.Expression], str]:
+2320    """Returns a cached generator."""
+2321    cache = {} if cache is None else cache
+2322    generator = Generator(normalize=True, identify="safe")
+2323    return lambda e: generator.generate(e, cache)
 
    
 
 
diff --git a/docs/sqlglot/helper.html b/docs/sqlglot/helper.html
index 7c7a34f8b8..500e09fb7f 100644
--- a/docs/sqlglot/helper.html
+++ b/docs/sqlglot/helper.html
@@ -130,430 +130,428 @@ 
    
  12
  13if t.TYPE_CHECKING:
  14    from sqlglot import exp
- 15    from sqlglot.expressions import Expression
- 16
- 17    T = t.TypeVar("T")
- 18    E = t.TypeVar("E", bound=Expression)
- 19
- 20CAMEL_CASE_PATTERN = re.compile("(?<!^)(?=[A-Z])")
- 21PYTHON_VERSION = sys.version_info[:2]
- 22logger = logging.getLogger("sqlglot")
- 23
- 24
- 25class AutoName(Enum):
- 26    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
- 27
- 28    def _generate_next_value_(name, _start, _count, _last_values):
- 29        return name
- 30
- 31
- 32def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
- 33    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
- 34    try:
- 35        return seq[index]
- 36    except IndexError:
- 37        return None
- 38
- 39
- 40@t.overload
- 41def ensure_list(value: t.Collection[T]) -> t.List[T]:
- 42    ...
- 43
- 44
- 45@t.overload
- 46def ensure_list(value: T) -> t.List[T]:
- 47    ...
- 48
- 49
- 50def ensure_list(value):
- 51    """
- 52    Ensures that a value is a list, otherwise casts or wraps it into one.
- 53
- 54    Args:
- 55        value: the value of interest.
- 56
- 57    Returns:
- 58        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
- 59    """
- 60    if value is None:
- 61        return []
- 62    if isinstance(value, (list, tuple)):
- 63        return list(value)
+ 15    from sqlglot._typing import E, T
+ 16    from sqlglot.expressions import Expression
+ 17
+ 18CAMEL_CASE_PATTERN = re.compile("(?<!^)(?=[A-Z])")
+ 19PYTHON_VERSION = sys.version_info[:2]
+ 20logger = logging.getLogger("sqlglot")
+ 21
+ 22
+ 23class AutoName(Enum):
+ 24    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
+ 25
+ 26    def _generate_next_value_(name, _start, _count, _last_values):
+ 27        return name
+ 28
+ 29
+ 30def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
+ 31    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
+ 32    try:
+ 33        return seq[index]
+ 34    except IndexError:
+ 35        return None
+ 36
+ 37
+ 38@t.overload
+ 39def ensure_list(value: t.Collection[T]) -> t.List[T]:
+ 40    ...
+ 41
+ 42
+ 43@t.overload
+ 44def ensure_list(value: T) -> t.List[T]:
+ 45    ...
+ 46
+ 47
+ 48def ensure_list(value):
+ 49    """
+ 50    Ensures that a value is a list, otherwise casts or wraps it into one.
+ 51
+ 52    Args:
+ 53        value: the value of interest.
+ 54
+ 55    Returns:
+ 56        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
+ 57    """
+ 58    if value is None:
+ 59        return []
+ 60    if isinstance(value, (list, tuple)):
+ 61        return list(value)
+ 62
+ 63    return [value]
  64
- 65    return [value]
- 66
- 67
- 68@t.overload
- 69def ensure_collection(value: t.Collection[T]) -> t.Collection[T]:
- 70    ...
- 71
- 72
- 73@t.overload
- 74def ensure_collection(value: T) -> t.Collection[T]:
- 75    ...
- 76
- 77
- 78def ensure_collection(value):
- 79    """
- 80    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
- 81
- 82    Args:
- 83        value: the value of interest.
- 84
- 85    Returns:
- 86        The value if it's a collection, or else the value wrapped in a list.
- 87    """
- 88    if value is None:
- 89        return []
- 90    return (
- 91        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
- 92    )
- 93
- 94
- 95def csv(*args, sep: str = ", ") -> str:
- 96    """
- 97    Formats any number of string arguments as CSV.
- 98
- 99    Args:
-100        args: the string arguments to format.
-101        sep: the argument separator.
-102
-103    Returns:
-104        The arguments formatted as a CSV string.
-105    """
-106    return sep.join(arg for arg in args if arg)
-107
-108
-109def subclasses(
-110    module_name: str,
-111    classes: t.Type | t.Tuple[t.Type, ...],
-112    exclude: t.Type | t.Tuple[t.Type, ...] = (),
-113) -> t.List[t.Type]:
-114    """
-115    Returns all subclasses for a collection of classes, possibly excluding some of them.
-116
-117    Args:
-118        module_name: the name of the module to search for subclasses in.
-119        classes: class(es) we want to find the subclasses of.
-120        exclude: class(es) we want to exclude from the returned list.
-121
-122    Returns:
-123        The target subclasses.
-124    """
-125    return [
-126        obj
-127        for _, obj in inspect.getmembers(
-128            sys.modules[module_name],
-129            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
-130        )
-131    ]
-132
-133
-134def apply_index_offset(
-135    this: exp.Expression,
-136    expressions: t.List[t.Optional[E]],
-137    offset: int,
-138) -> t.List[t.Optional[E]]:
-139    """
-140    Applies an offset to a given integer literal expression.
-141
-142    Args:
-143        this: the target of the index
-144        expressions: the expression the offset will be applied to, wrapped in a list.
-145        offset: the offset that will be applied.
-146
-147    Returns:
-148        The original expression with the offset applied to it, wrapped in a list. If the provided
-149        `expressions` argument contains more than one expressions, it's returned unaffected.
-150    """
-151    if not offset or len(expressions) != 1:
-152        return expressions
+ 65
+ 66@t.overload
+ 67def ensure_collection(value: t.Collection[T]) -> t.Collection[T]:
+ 68    ...
+ 69
+ 70
+ 71@t.overload
+ 72def ensure_collection(value: T) -> t.Collection[T]:
+ 73    ...
+ 74
+ 75
+ 76def ensure_collection(value):
+ 77    """
+ 78    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
+ 79
+ 80    Args:
+ 81        value: the value of interest.
+ 82
+ 83    Returns:
+ 84        The value if it's a collection, or else the value wrapped in a list.
+ 85    """
+ 86    if value is None:
+ 87        return []
+ 88    return (
+ 89        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
+ 90    )
+ 91
+ 92
+ 93def csv(*args: str, sep: str = ", ") -> str:
+ 94    """
+ 95    Formats any number of string arguments as CSV.
+ 96
+ 97    Args:
+ 98        args: the string arguments to format.
+ 99        sep: the argument separator.
+100
+101    Returns:
+102        The arguments formatted as a CSV string.
+103    """
+104    return sep.join(arg for arg in args if arg)
+105
+106
+107def subclasses(
+108    module_name: str,
+109    classes: t.Type | t.Tuple[t.Type, ...],
+110    exclude: t.Type | t.Tuple[t.Type, ...] = (),
+111) -> t.List[t.Type]:
+112    """
+113    Returns all subclasses for a collection of classes, possibly excluding some of them.
+114
+115    Args:
+116        module_name: the name of the module to search for subclasses in.
+117        classes: class(es) we want to find the subclasses of.
+118        exclude: class(es) we want to exclude from the returned list.
+119
+120    Returns:
+121        The target subclasses.
+122    """
+123    return [
+124        obj
+125        for _, obj in inspect.getmembers(
+126            sys.modules[module_name],
+127            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
+128        )
+129    ]
+130
+131
+132def apply_index_offset(
+133    this: exp.Expression,
+134    expressions: t.List[t.Optional[E]],
+135    offset: int,
+136) -> t.List[t.Optional[E]]:
+137    """
+138    Applies an offset to a given integer literal expression.
+139
+140    Args:
+141        this: the target of the index
+142        expressions: the expression the offset will be applied to, wrapped in a list.
+143        offset: the offset that will be applied.
+144
+145    Returns:
+146        The original expression with the offset applied to it, wrapped in a list. If the provided
+147        `expressions` argument contains more than one expressions, it's returned unaffected.
+148    """
+149    if not offset or len(expressions) != 1:
+150        return expressions
+151
+152    expression = expressions[0]
 153
-154    expression = expressions[0]
-155
-156    from sqlglot import exp
-157    from sqlglot.optimizer.annotate_types import annotate_types
-158    from sqlglot.optimizer.simplify import simplify
-159
-160    if not this.type:
-161        annotate_types(this)
-162
-163    if t.cast(exp.DataType, this.type).this not in (
-164        exp.DataType.Type.UNKNOWN,
-165        exp.DataType.Type.ARRAY,
-166    ):
-167        return expressions
-168
-169    if expression:
-170        if not expression.type:
-171            annotate_types(expression)
-172        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
-173            logger.warning("Applying array index offset (%s)", offset)
-174            expression = simplify(
-175                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
-176            )
-177            return [expression]
+154    from sqlglot import exp
+155    from sqlglot.optimizer.annotate_types import annotate_types
+156    from sqlglot.optimizer.simplify import simplify
+157
+158    if not this.type:
+159        annotate_types(this)
+160
+161    if t.cast(exp.DataType, this.type).this not in (
+162        exp.DataType.Type.UNKNOWN,
+163        exp.DataType.Type.ARRAY,
+164    ):
+165        return expressions
+166
+167    if expression:
+168        if not expression.type:
+169            annotate_types(expression)
+170        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
+171            logger.warning("Applying array index offset (%s)", offset)
+172            expression = simplify(
+173                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
+174            )
+175            return [expression]
+176
+177    return expressions
 178
-179    return expressions
-180
-181
-182def camel_to_snake_case(name: str) -> str:
-183    """Converts `name` from camelCase to snake_case and returns the result."""
-184    return CAMEL_CASE_PATTERN.sub("_", name).upper()
-185
-186
-187def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
-188    """
-189    Applies a transformation to a given expression until a fix point is reached.
-190
-191    Args:
-192        expression: the expression to be transformed.
-193        func: the transformation to be applied.
-194
-195    Returns:
-196        The transformed expression.
-197    """
-198    while True:
-199        for n, *_ in reversed(tuple(expression.walk())):
-200            n._hash = hash(n)
-201        start = hash(expression)
-202        expression = func(expression)
-203
-204        for n, *_ in expression.walk():
-205            n._hash = None
-206        if start == hash(expression):
-207            break
-208    return expression
-209
-210
-211def tsort(dag: t.Dict[T, t.List[T]]) -> t.List[T]:
-212    """
-213    Sorts a given directed acyclic graph in topological order.
-214
-215    Args:
-216        dag: the graph to be sorted.
-217
-218    Returns:
-219        A list that contains all of the graph's nodes in topological order.
-220    """
-221    result = []
-222
-223    def visit(node: T, visited: t.Set[T]) -> None:
-224        if node in result:
-225            return
-226        if node in visited:
-227            raise ValueError("Cycle error")
+179
+180def camel_to_snake_case(name: str) -> str:
+181    """Converts `name` from camelCase to snake_case and returns the result."""
+182    return CAMEL_CASE_PATTERN.sub("_", name).upper()
+183
+184
+185def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
+186    """
+187    Applies a transformation to a given expression until a fix point is reached.
+188
+189    Args:
+190        expression: the expression to be transformed.
+191        func: the transformation to be applied.
+192
+193    Returns:
+194        The transformed expression.
+195    """
+196    while True:
+197        for n, *_ in reversed(tuple(expression.walk())):
+198            n._hash = hash(n)
+199        start = hash(expression)
+200        expression = func(expression)
+201
+202        for n, *_ in expression.walk():
+203            n._hash = None
+204        if start == hash(expression):
+205            break
+206    return expression
+207
+208
+209def tsort(dag: t.Dict[T, t.List[T]]) -> t.List[T]:
+210    """
+211    Sorts a given directed acyclic graph in topological order.
+212
+213    Args:
+214        dag: the graph to be sorted.
+215
+216    Returns:
+217        A list that contains all of the graph's nodes in topological order.
+218    """
+219    result = []
+220
+221    def visit(node: T, visited: t.Set[T]) -> None:
+222        if node in result:
+223            return
+224        if node in visited:
+225            raise ValueError("Cycle error")
+226
+227        visited.add(node)
 228
-229        visited.add(node)
-230
-231        for dep in dag.get(node, []):
-232            visit(dep, visited)
-233
-234        visited.remove(node)
-235        result.append(node)
-236
-237    for node in dag:
-238        visit(node, set())
+229        for dep in dag.get(node, []):
+230            visit(dep, visited)
+231
+232        visited.remove(node)
+233        result.append(node)
+234
+235    for node in dag:
+236        visit(node, set())
+237
+238    return result
 239
-240    return result
-241
-242
-243def open_file(file_name: str) -> t.TextIO:
-244    """Open a file that may be compressed as gzip and return it in universal newline mode."""
-245    with open(file_name, "rb") as f:
-246        gzipped = f.read(2) == b"\x1f\x8b"
-247
-248    if gzipped:
-249        import gzip
+240
+241def open_file(file_name: str) -> t.TextIO:
+242    """Open a file that may be compressed as gzip and return it in universal newline mode."""
+243    with open(file_name, "rb") as f:
+244        gzipped = f.read(2) == b"\x1f\x8b"
+245
+246    if gzipped:
+247        import gzip
+248
+249        return gzip.open(file_name, "rt", newline="")
 250
-251        return gzip.open(file_name, "rt", newline="")
+251    return open(file_name, encoding="utf-8", newline="")
 252
-253    return open(file_name, encoding="utf-8", newline="")
-254
-255
-256@contextmanager
-257def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
-258    """
-259    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
-260
-261    Args:
-262        read_csv: a `ReadCSV` function call
-263
-264    Yields:
-265        A python csv reader.
-266    """
-267    args = read_csv.expressions
-268    file = open_file(read_csv.name)
-269
-270    delimiter = ","
-271    args = iter(arg.name for arg in args)
-272    for k, v in zip(args, args):
-273        if k == "delimiter":
-274            delimiter = v
-275
-276    try:
-277        import csv as csv_
-278
-279        yield csv_.reader(file, delimiter=delimiter)
-280    finally:
-281        file.close()
-282
-283
-284def find_new_name(taken: t.Collection[str], base: str) -> str:
-285    """
-286    Searches for a new name.
-287
-288    Args:
-289        taken: a collection of taken names.
-290        base: base name to alter.
-291
-292    Returns:
-293        The new, available name.
-294    """
-295    if base not in taken:
-296        return base
-297
-298    i = 2
-299    new = f"{base}_{i}"
-300    while new in taken:
-301        i += 1
-302        new = f"{base}_{i}"
+253
+254@contextmanager
+255def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
+256    """
+257    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
+258
+259    Args:
+260        read_csv: a `ReadCSV` function call
+261
+262    Yields:
+263        A python csv reader.
+264    """
+265    args = read_csv.expressions
+266    file = open_file(read_csv.name)
+267
+268    delimiter = ","
+269    args = iter(arg.name for arg in args)
+270    for k, v in zip(args, args):
+271        if k == "delimiter":
+272            delimiter = v
+273
+274    try:
+275        import csv as csv_
+276
+277        yield csv_.reader(file, delimiter=delimiter)
+278    finally:
+279        file.close()
+280
+281
+282def find_new_name(taken: t.Collection[str], base: str) -> str:
+283    """
+284    Searches for a new name.
+285
+286    Args:
+287        taken: a collection of taken names.
+288        base: base name to alter.
+289
+290    Returns:
+291        The new, available name.
+292    """
+293    if base not in taken:
+294        return base
+295
+296    i = 2
+297    new = f"{base}_{i}"
+298    while new in taken:
+299        i += 1
+300        new = f"{base}_{i}"
+301
+302    return new
 303
-304    return new
-305
-306
-307def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
-308    """Returns a dictionary created from an object's attributes."""
-309    return {**{k: copy(v) for k, v in vars(obj).copy().items()}, **kwargs}
-310
-311
-312def split_num_words(
-313    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
-314) -> t.List[t.Optional[str]]:
-315    """
-316    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
-317
-318    Args:
-319        value: the value to be split.
-320        sep: the value to use to split on.
-321        min_num_words: the minimum number of words that are going to be in the result.
-322        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
-323
-324    Examples:
-325        >>> split_num_words("db.table", ".", 3)
-326        [None, 'db', 'table']
-327        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
-328        ['db', 'table', None]
-329        >>> split_num_words("db.table", ".", 1)
-330        ['db', 'table']
-331
-332    Returns:
-333        The list of words returned by `split`, possibly augmented by a number of `None` values.
-334    """
-335    words = value.split(sep)
-336    if fill_from_start:
-337        return [None] * (min_num_words - len(words)) + words
-338    return words + [None] * (min_num_words - len(words))
-339
-340
-341def is_iterable(value: t.Any) -> bool:
-342    """
-343    Checks if the value is an iterable, excluding the types `str` and `bytes`.
-344
-345    Examples:
-346        >>> is_iterable([1,2])
-347        True
-348        >>> is_iterable("test")
-349        False
-350
-351    Args:
-352        value: the value to check if it is an iterable.
-353
-354    Returns:
-355        A `bool` value indicating if it is an iterable.
-356    """
-357    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
-358
-359
-360def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
-361    """
-362    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
-363    type `str` and `bytes` are not regarded as iterables.
-364
-365    Examples:
-366        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
-367        [1, 2, 3, 4, 5, 'bla']
-368        >>> list(flatten([1, 2, 3]))
-369        [1, 2, 3]
-370
-371    Args:
-372        values: the value to be flattened.
-373
-374    Yields:
-375        Non-iterable elements in `values`.
-376    """
-377    for value in values:
-378        if is_iterable(value):
-379            yield from flatten(value)
-380        else:
-381            yield value
-382
-383
-384def dict_depth(d: t.Dict) -> int:
-385    """
-386    Get the nesting depth of a dictionary.
-387
-388    For example:
-389        >>> dict_depth(None)
-390        0
-391        >>> dict_depth({})
+304
+305def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
+306    """Returns a dictionary created from an object's attributes."""
+307    return {**{k: copy(v) for k, v in vars(obj).copy().items()}, **kwargs}
+308
+309
+310def split_num_words(
+311    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
+312) -> t.List[t.Optional[str]]:
+313    """
+314    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
+315
+316    Args:
+317        value: the value to be split.
+318        sep: the value to use to split on.
+319        min_num_words: the minimum number of words that are going to be in the result.
+320        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
+321
+322    Examples:
+323        >>> split_num_words("db.table", ".", 3)
+324        [None, 'db', 'table']
+325        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
+326        ['db', 'table', None]
+327        >>> split_num_words("db.table", ".", 1)
+328        ['db', 'table']
+329
+330    Returns:
+331        The list of words returned by `split`, possibly augmented by a number of `None` values.
+332    """
+333    words = value.split(sep)
+334    if fill_from_start:
+335        return [None] * (min_num_words - len(words)) + words
+336    return words + [None] * (min_num_words - len(words))
+337
+338
+339def is_iterable(value: t.Any) -> bool:
+340    """
+341    Checks if the value is an iterable, excluding the types `str` and `bytes`.
+342
+343    Examples:
+344        >>> is_iterable([1,2])
+345        True
+346        >>> is_iterable("test")
+347        False
+348
+349    Args:
+350        value: the value to check if it is an iterable.
+351
+352    Returns:
+353        A `bool` value indicating if it is an iterable.
+354    """
+355    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
+356
+357
+358def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
+359    """
+360    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
+361    type `str` and `bytes` are not regarded as iterables.
+362
+363    Examples:
+364        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
+365        [1, 2, 3, 4, 5, 'bla']
+366        >>> list(flatten([1, 2, 3]))
+367        [1, 2, 3]
+368
+369    Args:
+370        values: the value to be flattened.
+371
+372    Yields:
+373        Non-iterable elements in `values`.
+374    """
+375    for value in values:
+376        if is_iterable(value):
+377            yield from flatten(value)
+378        else:
+379            yield value
+380
+381
+382def dict_depth(d: t.Dict) -> int:
+383    """
+384    Get the nesting depth of a dictionary.
+385
+386    For example:
+387        >>> dict_depth(None)
+388        0
+389        >>> dict_depth({})
+390        1
+391        >>> dict_depth({"a": "b"})
 392        1
-393        >>> dict_depth({"a": "b"})
-394        1
-395        >>> dict_depth({"a": {}})
-396        2
-397        >>> dict_depth({"a": {"b": {}}})
-398        3
-399
-400    Args:
-401        d (dict): dictionary
-402
-403    Returns:
-404        int: depth
-405    """
-406    try:
-407        return 1 + dict_depth(next(iter(d.values())))
-408    except AttributeError:
-409        # d doesn't have attribute "values"
-410        return 0
-411    except StopIteration:
-412        # d.values() returns an empty sequence
-413        return 1
-414
-415
-416def first(it: t.Iterable[T]) -> T:
-417    """Returns the first element from an iterable.
-418
-419    Useful for sets.
-420    """
-421    return next(i for i in it)
-422
-423
-424def should_identify(text: str, identify: str | bool) -> bool:
-425    """Checks if text should be identified given an identify option.
-426
-427    Args:
-428        text: the text to check.
-429        identify: "always" | True - always returns true, "safe" - true if no upper case
-430
-431    Returns:
-432        Whether or not a string should be identified.
-433    """
-434    if identify is True or identify == "always":
-435        return True
-436    if identify == "safe":
-437        return not any(char.isupper() for char in text)
-438    return False
+393        >>> dict_depth({"a": {}})
+394        2
+395        >>> dict_depth({"a": {"b": {}}})
+396        3
+397
+398    Args:
+399        d (dict): dictionary
+400
+401    Returns:
+402        int: depth
+403    """
+404    try:
+405        return 1 + dict_depth(next(iter(d.values())))
+406    except AttributeError:
+407        # d doesn't have attribute "values"
+408        return 0
+409    except StopIteration:
+410        # d.values() returns an empty sequence
+411        return 1
+412
+413
+414def first(it: t.Iterable[T]) -> T:
+415    """Returns the first element from an iterable.
+416
+417    Useful for sets.
+418    """
+419    return next(i for i in it)
+420
+421
+422def should_identify(text: str, identify: str | bool) -> bool:
+423    """Checks if text should be identified given an identify option.
+424
+425    Args:
+426        text: the text to check.
+427        identify: "always" | True - always returns true, "safe" - true if no upper case
+428
+429    Returns:
+430        Whether or not a string should be identified.
+431    """
+432    if identify is True or identify == "always":
+433        return True
+434    if identify == "safe":
+435        return not any(char.isupper() for char in text)
+436    return False
 
    
 
 
@@ -569,11 +567,11 @@ 
    
 
     
    
     
-            
    26class AutoName(Enum):
-27    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
-28
-29    def _generate_next_value_(name, _start, _count, _last_values):
-30        return name
+            
    24class AutoName(Enum):
+25    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
+26
+27    def _generate_next_value_(name, _start, _count, _last_values):
+28        return name
 
    
 
 
@@ -603,12 +601,12 @@ 
    Inherited Members
    
 
     
    
     
-            
    33def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
-34    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
-35    try:
-36        return seq[index]
-37    except IndexError:
-38        return None
+            
    31def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
+32    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
+33    try:
+34        return seq[index]
+35    except IndexError:
+36        return None
 
    
 
 
@@ -628,22 +626,22 @@ 
    Inherited Members
    
 
     
    
     
-            
    51def ensure_list(value):
-52    """
-53    Ensures that a value is a list, otherwise casts or wraps it into one.
-54
-55    Args:
-56        value: the value of interest.
-57
-58    Returns:
-59        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
-60    """
-61    if value is None:
-62        return []
-63    if isinstance(value, (list, tuple)):
-64        return list(value)
-65
-66    return [value]
+            
    49def ensure_list(value):
+50    """
+51    Ensures that a value is a list, otherwise casts or wraps it into one.
+52
+53    Args:
+54        value: the value of interest.
+55
+56    Returns:
+57        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
+58    """
+59    if value is None:
+60        return []
+61    if isinstance(value, (list, tuple)):
+62        return list(value)
+63
+64    return [value]
 
    
 
 
@@ -675,21 +673,21 @@ 
    Returns:
    
 
     
    
     
-            
    79def ensure_collection(value):
-80    """
-81    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
-82
-83    Args:
-84        value: the value of interest.
-85
-86    Returns:
-87        The value if it's a collection, or else the value wrapped in a list.
-88    """
-89    if value is None:
-90        return []
-91    return (
-92        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
-93    )
+            
    77def ensure_collection(value):
+78    """
+79    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
+80
+81    Args:
+82        value: the value of interest.
+83
+84    Returns:
+85        The value if it's a collection, or else the value wrapped in a list.
+86    """
+87    if value is None:
+88        return []
+89    return (
+90        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
+91    )
 
    
 
 
@@ -715,24 +713,24 @@ 
    Returns:
    
 
    
             
         def
-        csv(*args, sep: str = ', ') -> str:
+        csv(*args: str, sep: str = ', ') -> str:
 
                 
 
     
    
     
-            
     96def csv(*args, sep: str = ", ") -> str:
- 97    """
- 98    Formats any number of string arguments as CSV.
- 99
-100    Args:
-101        args: the string arguments to format.
-102        sep: the argument separator.
-103
-104    Returns:
-105        The arguments formatted as a CSV string.
-106    """
-107    return sep.join(arg for arg in args if arg)
+            
     94def csv(*args: str, sep: str = ", ") -> str:
+ 95    """
+ 96    Formats any number of string arguments as CSV.
+ 97
+ 98    Args:
+ 99        args: the string arguments to format.
+100        sep: the argument separator.
+101
+102    Returns:
+103        The arguments formatted as a CSV string.
+104    """
+105    return sep.join(arg for arg in args if arg)
 
    
 
 
@@ -765,29 +763,29 @@ 
    Returns:
    
 
     
    
     
-            
    110def subclasses(
-111    module_name: str,
-112    classes: t.Type | t.Tuple[t.Type, ...],
-113    exclude: t.Type | t.Tuple[t.Type, ...] = (),
-114) -> t.List[t.Type]:
-115    """
-116    Returns all subclasses for a collection of classes, possibly excluding some of them.
-117
-118    Args:
-119        module_name: the name of the module to search for subclasses in.
-120        classes: class(es) we want to find the subclasses of.
-121        exclude: class(es) we want to exclude from the returned list.
-122
-123    Returns:
-124        The target subclasses.
-125    """
-126    return [
-127        obj
-128        for _, obj in inspect.getmembers(
-129            sys.modules[module_name],
-130            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
-131        )
-132    ]
+            
    108def subclasses(
+109    module_name: str,
+110    classes: t.Type | t.Tuple[t.Type, ...],
+111    exclude: t.Type | t.Tuple[t.Type, ...] = (),
+112) -> t.List[t.Type]:
+113    """
+114    Returns all subclasses for a collection of classes, possibly excluding some of them.
+115
+116    Args:
+117        module_name: the name of the module to search for subclasses in.
+118        classes: class(es) we want to find the subclasses of.
+119        exclude: class(es) we want to exclude from the returned list.
+120
+121    Returns:
+122        The target subclasses.
+123    """
+124    return [
+125        obj
+126        for _, obj in inspect.getmembers(
+127            sys.modules[module_name],
+128            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
+129        )
+130    ]
 
    
 
 
@@ -821,52 +819,52 @@ 
    Returns:
    
 
     
    
     
-            
    135def apply_index_offset(
-136    this: exp.Expression,
-137    expressions: t.List[t.Optional[E]],
-138    offset: int,
-139) -> t.List[t.Optional[E]]:
-140    """
-141    Applies an offset to a given integer literal expression.
-142
-143    Args:
-144        this: the target of the index
-145        expressions: the expression the offset will be applied to, wrapped in a list.
-146        offset: the offset that will be applied.
-147
-148    Returns:
-149        The original expression with the offset applied to it, wrapped in a list. If the provided
-150        `expressions` argument contains more than one expressions, it's returned unaffected.
-151    """
-152    if not offset or len(expressions) != 1:
-153        return expressions
+            
    133def apply_index_offset(
+134    this: exp.Expression,
+135    expressions: t.List[t.Optional[E]],
+136    offset: int,
+137) -> t.List[t.Optional[E]]:
+138    """
+139    Applies an offset to a given integer literal expression.
+140
+141    Args:
+142        this: the target of the index
+143        expressions: the expression the offset will be applied to, wrapped in a list.
+144        offset: the offset that will be applied.
+145
+146    Returns:
+147        The original expression with the offset applied to it, wrapped in a list. If the provided
+148        `expressions` argument contains more than one expressions, it's returned unaffected.
+149    """
+150    if not offset or len(expressions) != 1:
+151        return expressions
+152
+153    expression = expressions[0]
 154
-155    expression = expressions[0]
-156
-157    from sqlglot import exp
-158    from sqlglot.optimizer.annotate_types import annotate_types
-159    from sqlglot.optimizer.simplify import simplify
-160
-161    if not this.type:
-162        annotate_types(this)
-163
-164    if t.cast(exp.DataType, this.type).this not in (
-165        exp.DataType.Type.UNKNOWN,
-166        exp.DataType.Type.ARRAY,
-167    ):
-168        return expressions
-169
-170    if expression:
-171        if not expression.type:
-172            annotate_types(expression)
-173        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
-174            logger.warning("Applying array index offset (%s)", offset)
-175            expression = simplify(
-176                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
-177            )
-178            return [expression]
-179
-180    return expressions
+155    from sqlglot import exp
+156    from sqlglot.optimizer.annotate_types import annotate_types
+157    from sqlglot.optimizer.simplify import simplify
+158
+159    if not this.type:
+160        annotate_types(this)
+161
+162    if t.cast(exp.DataType, this.type).this not in (
+163        exp.DataType.Type.UNKNOWN,
+164        exp.DataType.Type.ARRAY,
+165    ):
+166        return expressions
+167
+168    if expression:
+169        if not expression.type:
+170            annotate_types(expression)
+171        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
+172            logger.warning("Applying array index offset (%s)", offset)
+173            expression = simplify(
+174                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
+175            )
+176            return [expression]
+177
+178    return expressions
 
    
 
 
@@ -901,9 +899,9 @@ 
    Returns:
    
 
     
    
     
-            
    183def camel_to_snake_case(name: str) -> str:
-184    """Converts `name` from camelCase to snake_case and returns the result."""
-185    return CAMEL_CASE_PATTERN.sub("_", name).upper()
+            
    181def camel_to_snake_case(name: str) -> str:
+182    """Converts `name` from camelCase to snake_case and returns the result."""
+183    return CAMEL_CASE_PATTERN.sub("_", name).upper()
 
    
 
 
@@ -923,28 +921,28 @@ 
    Returns:
    
 
     
    
     
-            
    188def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
-189    """
-190    Applies a transformation to a given expression until a fix point is reached.
-191
-192    Args:
-193        expression: the expression to be transformed.
-194        func: the transformation to be applied.
-195
-196    Returns:
-197        The transformed expression.
-198    """
-199    while True:
-200        for n, *_ in reversed(tuple(expression.walk())):
-201            n._hash = hash(n)
-202        start = hash(expression)
-203        expression = func(expression)
-204
-205        for n, *_ in expression.walk():
-206            n._hash = None
-207        if start == hash(expression):
-208            break
-209    return expression
+            
    186def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
+187    """
+188    Applies a transformation to a given expression until a fix point is reached.
+189
+190    Args:
+191        expression: the expression to be transformed.
+192        func: the transformation to be applied.
+193
+194    Returns:
+195        The transformed expression.
+196    """
+197    while True:
+198        for n, *_ in reversed(tuple(expression.walk())):
+199            n._hash = hash(n)
+200        start = hash(expression)
+201        expression = func(expression)
+202
+203        for n, *_ in expression.walk():
+204            n._hash = None
+205        if start == hash(expression):
+206            break
+207    return expression
 
    
 
 
@@ -977,36 +975,36 @@ 
    Returns:
    
 
     
    
     
-            
    212def tsort(dag: t.Dict[T, t.List[T]]) -> t.List[T]:
-213    """
-214    Sorts a given directed acyclic graph in topological order.
-215
-216    Args:
-217        dag: the graph to be sorted.
-218
-219    Returns:
-220        A list that contains all of the graph's nodes in topological order.
-221    """
-222    result = []
-223
-224    def visit(node: T, visited: t.Set[T]) -> None:
-225        if node in result:
-226            return
-227        if node in visited:
-228            raise ValueError("Cycle error")
+            
    210def tsort(dag: t.Dict[T, t.List[T]]) -> t.List[T]:
+211    """
+212    Sorts a given directed acyclic graph in topological order.
+213
+214    Args:
+215        dag: the graph to be sorted.
+216
+217    Returns:
+218        A list that contains all of the graph's nodes in topological order.
+219    """
+220    result = []
+221
+222    def visit(node: T, visited: t.Set[T]) -> None:
+223        if node in result:
+224            return
+225        if node in visited:
+226            raise ValueError("Cycle error")
+227
+228        visited.add(node)
 229
-230        visited.add(node)
-231
-232        for dep in dag.get(node, []):
-233            visit(dep, visited)
-234
-235        visited.remove(node)
-236        result.append(node)
-237
-238    for node in dag:
-239        visit(node, set())
-240
-241    return result
+230        for dep in dag.get(node, []):
+231            visit(dep, visited)
+232
+233        visited.remove(node)
+234        result.append(node)
+235
+236    for node in dag:
+237        visit(node, set())
+238
+239    return result
 
    
 
 
@@ -1038,17 +1036,17 @@ 
    Returns:
    
 
     
    
     
-            
    244def open_file(file_name: str) -> t.TextIO:
-245    """Open a file that may be compressed as gzip and return it in universal newline mode."""
-246    with open(file_name, "rb") as f:
-247        gzipped = f.read(2) == b"\x1f\x8b"
-248
-249    if gzipped:
-250        import gzip
+            
    242def open_file(file_name: str) -> t.TextIO:
+243    """Open a file that may be compressed as gzip and return it in universal newline mode."""
+244    with open(file_name, "rb") as f:
+245        gzipped = f.read(2) == b"\x1f\x8b"
+246
+247    if gzipped:
+248        import gzip
+249
+250        return gzip.open(file_name, "rt", newline="")
 251
-252        return gzip.open(file_name, "rt", newline="")
-253
-254    return open(file_name, encoding="utf-8", newline="")
+252    return open(file_name, encoding="utf-8", newline="")
 
    
 
 
@@ -1069,32 +1067,32 @@ 
    Returns:
    
 
     
    
     
-            
    257@contextmanager
-258def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
-259    """
-260    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
-261
-262    Args:
-263        read_csv: a `ReadCSV` function call
-264
-265    Yields:
-266        A python csv reader.
-267    """
-268    args = read_csv.expressions
-269    file = open_file(read_csv.name)
-270
-271    delimiter = ","
-272    args = iter(arg.name for arg in args)
-273    for k, v in zip(args, args):
-274        if k == "delimiter":
-275            delimiter = v
-276
-277    try:
-278        import csv as csv_
-279
-280        yield csv_.reader(file, delimiter=delimiter)
-281    finally:
-282        file.close()
+            
    255@contextmanager
+256def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
+257    """
+258    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
+259
+260    Args:
+261        read_csv: a `ReadCSV` function call
+262
+263    Yields:
+264        A python csv reader.
+265    """
+266    args = read_csv.expressions
+267    file = open_file(read_csv.name)
+268
+269    delimiter = ","
+270    args = iter(arg.name for arg in args)
+271    for k, v in zip(args, args):
+272        if k == "delimiter":
+273            delimiter = v
+274
+275    try:
+276        import csv as csv_
+277
+278        yield csv_.reader(file, delimiter=delimiter)
+279    finally:
+280        file.close()
 
    
 
 
@@ -1126,27 +1124,27 @@ 
    Yields:
    
 
     
    
     
-            
    285def find_new_name(taken: t.Collection[str], base: str) -> str:
-286    """
-287    Searches for a new name.
-288
-289    Args:
-290        taken: a collection of taken names.
-291        base: base name to alter.
-292
-293    Returns:
-294        The new, available name.
-295    """
-296    if base not in taken:
-297        return base
-298
-299    i = 2
-300    new = f"{base}_{i}"
-301    while new in taken:
-302        i += 1
-303        new = f"{base}_{i}"
-304
-305    return new
+            
    283def find_new_name(taken: t.Collection[str], base: str) -> str:
+284    """
+285    Searches for a new name.
+286
+287    Args:
+288        taken: a collection of taken names.
+289        base: base name to alter.
+290
+291    Returns:
+292        The new, available name.
+293    """
+294    if base not in taken:
+295        return base
+296
+297    i = 2
+298    new = f"{base}_{i}"
+299    while new in taken:
+300        i += 1
+301        new = f"{base}_{i}"
+302
+303    return new
 
    
 
 
@@ -1179,9 +1177,9 @@ 
    Returns:
    
 
     
    
     
-            
    308def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
-309    """Returns a dictionary created from an object's attributes."""
-310    return {**{k: copy(v) for k, v in vars(obj).copy().items()}, **kwargs}
+            
    306def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
+307    """Returns a dictionary created from an object's attributes."""
+308    return {**{k: copy(v) for k, v in vars(obj).copy().items()}, **kwargs}
 
    
 
 
@@ -1201,33 +1199,33 @@ 
    Returns:
    
 
     
    
     
-            
    313def split_num_words(
-314    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
-315) -> t.List[t.Optional[str]]:
-316    """
-317    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
-318
-319    Args:
-320        value: the value to be split.
-321        sep: the value to use to split on.
-322        min_num_words: the minimum number of words that are going to be in the result.
-323        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
-324
-325    Examples:
-326        >>> split_num_words("db.table", ".", 3)
-327        [None, 'db', 'table']
-328        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
-329        ['db', 'table', None]
-330        >>> split_num_words("db.table", ".", 1)
-331        ['db', 'table']
-332
-333    Returns:
-334        The list of words returned by `split`, possibly augmented by a number of `None` values.
-335    """
-336    words = value.split(sep)
-337    if fill_from_start:
-338        return [None] * (min_num_words - len(words)) + words
-339    return words + [None] * (min_num_words - len(words))
+            
    311def split_num_words(
+312    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
+313) -> t.List[t.Optional[str]]:
+314    """
+315    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
+316
+317    Args:
+318        value: the value to be split.
+319        sep: the value to use to split on.
+320        min_num_words: the minimum number of words that are going to be in the result.
+321        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
+322
+323    Examples:
+324        >>> split_num_words("db.table", ".", 3)
+325        [None, 'db', 'table']
+326        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
+327        ['db', 'table', None]
+328        >>> split_num_words("db.table", ".", 1)
+329        ['db', 'table']
+330
+331    Returns:
+332        The list of words returned by `split`, possibly augmented by a number of `None` values.
+333    """
+334    words = value.split(sep)
+335    if fill_from_start:
+336        return [None] * (min_num_words - len(words)) + words
+337    return words + [None] * (min_num_words - len(words))
 
    
 
 
@@ -1276,23 +1274,23 @@ 
    Returns:
    
 
     
    
     
-            
    342def is_iterable(value: t.Any) -> bool:
-343    """
-344    Checks if the value is an iterable, excluding the types `str` and `bytes`.
-345
-346    Examples:
-347        >>> is_iterable([1,2])
-348        True
-349        >>> is_iterable("test")
-350        False
-351
-352    Args:
-353        value: the value to check if it is an iterable.
-354
-355    Returns:
-356        A `bool` value indicating if it is an iterable.
-357    """
-358    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
+            
    340def is_iterable(value: t.Any) -> bool:
+341    """
+342    Checks if the value is an iterable, excluding the types `str` and `bytes`.
+343
+344    Examples:
+345        >>> is_iterable([1,2])
+346        True
+347        >>> is_iterable("test")
+348        False
+349
+350    Args:
+351        value: the value to check if it is an iterable.
+352
+353    Returns:
+354        A `bool` value indicating if it is an iterable.
+355    """
+356    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
 
    
 
 
@@ -1336,28 +1334,28 @@ 
    Returns:
    
 
     
    
     
-            
    361def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
-362    """
-363    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
-364    type `str` and `bytes` are not regarded as iterables.
-365
-366    Examples:
-367        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
-368        [1, 2, 3, 4, 5, 'bla']
-369        >>> list(flatten([1, 2, 3]))
-370        [1, 2, 3]
-371
-372    Args:
-373        values: the value to be flattened.
-374
-375    Yields:
-376        Non-iterable elements in `values`.
-377    """
-378    for value in values:
-379        if is_iterable(value):
-380            yield from flatten(value)
-381        else:
-382            yield value
+            
    359def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
+360    """
+361    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
+362    type `str` and `bytes` are not regarded as iterables.
+363
+364    Examples:
+365        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
+366        [1, 2, 3, 4, 5, 'bla']
+367        >>> list(flatten([1, 2, 3]))
+368        [1, 2, 3]
+369
+370    Args:
+371        values: the value to be flattened.
+372
+373    Yields:
+374        Non-iterable elements in `values`.
+375    """
+376    for value in values:
+377        if is_iterable(value):
+378            yield from flatten(value)
+379        else:
+380            yield value
 
    
 
 
@@ -1402,36 +1400,36 @@ 
    Yields:
    
 
     
    
     
-            
    385def dict_depth(d: t.Dict) -> int:
-386    """
-387    Get the nesting depth of a dictionary.
-388
-389    For example:
-390        >>> dict_depth(None)
-391        0
-392        >>> dict_depth({})
+            
    383def dict_depth(d: t.Dict) -> int:
+384    """
+385    Get the nesting depth of a dictionary.
+386
+387    For example:
+388        >>> dict_depth(None)
+389        0
+390        >>> dict_depth({})
+391        1
+392        >>> dict_depth({"a": "b"})
 393        1
-394        >>> dict_depth({"a": "b"})
-395        1
-396        >>> dict_depth({"a": {}})
-397        2
-398        >>> dict_depth({"a": {"b": {}}})
-399        3
-400
-401    Args:
-402        d (dict): dictionary
-403
-404    Returns:
-405        int: depth
-406    """
-407    try:
-408        return 1 + dict_depth(next(iter(d.values())))
-409    except AttributeError:
-410        # d doesn't have attribute "values"
-411        return 0
-412    except StopIteration:
-413        # d.values() returns an empty sequence
-414        return 1
+394        >>> dict_depth({"a": {}})
+395        2
+396        >>> dict_depth({"a": {"b": {}}})
+397        3
+398
+399    Args:
+400        d (dict): dictionary
+401
+402    Returns:
+403        int: depth
+404    """
+405    try:
+406        return 1 + dict_depth(next(iter(d.values())))
+407    except AttributeError:
+408        # d doesn't have attribute "values"
+409        return 0
+410    except StopIteration:
+411        # d.values() returns an empty sequence
+412        return 1
 
    
 
 
@@ -1481,12 +1479,12 @@ 
    Returns:
    
 
     
    
     
-            
    417def first(it: t.Iterable[T]) -> T:
-418    """Returns the first element from an iterable.
-419
-420    Useful for sets.
-421    """
-422    return next(i for i in it)
+            
    415def first(it: t.Iterable[T]) -> T:
+416    """Returns the first element from an iterable.
+417
+418    Useful for sets.
+419    """
+420    return next(i for i in it)
 
    
 
 
@@ -1508,21 +1506,21 @@ 
    Returns:
    
 
     
    
     
-            
    425def should_identify(text: str, identify: str | bool) -> bool:
-426    """Checks if text should be identified given an identify option.
-427
-428    Args:
-429        text: the text to check.
-430        identify: "always" | True - always returns true, "safe" - true if no upper case
-431
-432    Returns:
-433        Whether or not a string should be identified.
-434    """
-435    if identify is True or identify == "always":
-436        return True
-437    if identify == "safe":
-438        return not any(char.isupper() for char in text)
-439    return False
+            
    423def should_identify(text: str, identify: str | bool) -> bool:
+424    """Checks if text should be identified given an identify option.
+425
+426    Args:
+427        text: the text to check.
+428        identify: "always" | True - always returns true, "safe" - true if no upper case
+429
+430    Returns:
+431        Whether or not a string should be identified.
+432    """
+433    if identify is True or identify == "always":
+434        return True
+435    if identify == "safe":
+436        return not any(char.isupper() for char in text)
+437    return False
 
    
 
 
diff --git a/docs/sqlglot/lineage.html b/docs/sqlglot/lineage.html
index 88c6d41632..966dd69014 100644
--- a/docs/sqlglot/lineage.html
+++ b/docs/sqlglot/lineage.html
@@ -87,255 +87,259 @@ 
    
   5from dataclasses import dataclass, field
   6
   7from sqlglot import Schema, exp, maybe_parse
-  8from sqlglot.optimizer import Scope, build_scope, optimize
-  9from sqlglot.optimizer.lower_identities import lower_identities
- 10from sqlglot.optimizer.qualify_columns import qualify_columns
- 11from sqlglot.optimizer.qualify_tables import qualify_tables
- 12
- 13if t.TYPE_CHECKING:
- 14    from sqlglot.dialects.dialect import DialectType
- 15
+  8from sqlglot.errors import SqlglotError
+  9from sqlglot.optimizer import Scope, build_scope, optimize
+ 10from sqlglot.optimizer.lower_identities import lower_identities
+ 11from sqlglot.optimizer.qualify_columns import qualify_columns
+ 12from sqlglot.optimizer.qualify_tables import qualify_tables
+ 13
+ 14if t.TYPE_CHECKING:
+ 15    from sqlglot.dialects.dialect import DialectType
  16
- 17@dataclass(frozen=True)
- 18class Node:
- 19    name: str
- 20    expression: exp.Expression
- 21    source: exp.Expression
- 22    downstream: t.List[Node] = field(default_factory=list)
- 23    alias: str = ""
- 24
- 25    def walk(self) -> t.Iterator[Node]:
- 26        yield self
- 27
- 28        for d in self.downstream:
- 29            if isinstance(d, Node):
- 30                yield from d.walk()
- 31            else:
- 32                yield d
- 33
- 34    def to_html(self, **opts) -> LineageHTML:
- 35        return LineageHTML(self, **opts)
- 36
+ 17
+ 18@dataclass(frozen=True)
+ 19class Node:
+ 20    name: str
+ 21    expression: exp.Expression
+ 22    source: exp.Expression
+ 23    downstream: t.List[Node] = field(default_factory=list)
+ 24    alias: str = ""
+ 25
+ 26    def walk(self) -> t.Iterator[Node]:
+ 27        yield self
+ 28
+ 29        for d in self.downstream:
+ 30            if isinstance(d, Node):
+ 31                yield from d.walk()
+ 32            else:
+ 33                yield d
+ 34
+ 35    def to_html(self, **opts) -> LineageHTML:
+ 36        return LineageHTML(self, **opts)
  37
- 38def lineage(
- 39    column: str | exp.Column,
- 40    sql: str | exp.Expression,
- 41    schema: t.Optional[t.Dict | Schema] = None,
- 42    sources: t.Optional[t.Dict[str, str | exp.Subqueryable]] = None,
- 43    rules: t.Sequence[t.Callable] = (lower_identities, qualify_tables, qualify_columns),
- 44    dialect: DialectType = None,
- 45) -> Node:
- 46    """Build the lineage graph for a column of a SQL query.
- 47
- 48    Args:
- 49        column: The column to build the lineage for.
- 50        sql: The SQL string or expression.
- 51        schema: The schema of tables.
- 52        sources: A mapping of queries which will be used to continue building lineage.
- 53        rules: Optimizer rules to apply, by default only qualifying tables and columns.
- 54        dialect: The dialect of input SQL.
- 55
- 56    Returns:
- 57        A lineage node.
- 58    """
- 59
- 60    expression = maybe_parse(sql, dialect=dialect)
- 61
- 62    if sources:
- 63        expression = exp.expand(
- 64            expression,
- 65            {
- 66                k: t.cast(exp.Subqueryable, maybe_parse(v, dialect=dialect))
- 67                for k, v in sources.items()
- 68            },
- 69        )
- 70
- 71    optimized = optimize(expression, schema=schema, rules=rules)
- 72    scope = build_scope(optimized)
- 73
- 74    def to_node(
- 75        column_name: str,
- 76        scope: Scope,
- 77        scope_name: t.Optional[str] = None,
- 78        upstream: t.Optional[Node] = None,
- 79        alias: t.Optional[str] = None,
- 80    ) -> Node:
- 81        aliases = {
- 82            dt.alias: dt.comments[0].split()[1]
- 83            for dt in scope.derived_tables
- 84            if dt.comments and dt.comments[0].startswith("source: ")
- 85        }
- 86        if isinstance(scope.expression, exp.Union):
- 87            for scope in scope.union_scopes:
- 88                node = to_node(
- 89                    column_name,
- 90                    scope=scope,
- 91                    scope_name=scope_name,
- 92                    upstream=upstream,
- 93                    alias=aliases.get(scope_name),
- 94                )
- 95            return node
- 96
- 97        # Find the specific select clause that is the source of the column we want.
- 98        # This can either be a specific, named select or a generic `*` clause.
- 99        select = next(
-100            (select for select in scope.selects if select.alias_or_name == column_name),
-101            exp.Star() if scope.expression.is_star else None,
-102        )
-103
-104        if not select:
-105            raise ValueError(f"Could not find {column_name} in {scope.expression}")
-106
-107        if isinstance(scope.expression, exp.Select):
-108            # For better ergonomics in our node labels, replace the full select with
-109            # a version that has only the column we care about.
-110            #   "x", SELECT x, y FROM foo
-111            #     => "x", SELECT x FROM foo
-112            source = t.cast(exp.Expression, scope.expression.select(select, append=False))
-113        else:
-114            source = scope.expression
-115
-116        # Create the node for this step in the lineage chain, and attach it to the previous one.
-117        node = Node(
-118            name=f"{scope_name}.{column_name}" if scope_name else column_name,
-119            source=source,
-120            expression=select,
-121            alias=alias or "",
-122        )
-123        if upstream:
-124            upstream.downstream.append(node)
-125
-126        # Find all columns that went into creating this one to list their lineage nodes.
-127        for c in set(select.find_all(exp.Column)):
-128            table = c.table
-129            source = scope.sources.get(table)
-130
-131            if isinstance(source, Scope):
-132                # The table itself came from a more specific scope. Recurse into that one using the unaliased column name.
-133                to_node(
-134                    c.name, scope=source, scope_name=table, upstream=node, alias=aliases.get(table)
-135                )
-136            else:
-137                # The source is not a scope - we've reached the end of the line. At this point, if a source is not found
-138                # it means this column's lineage is unknown. This can happen if the definition of a source used in a query
-139                # is not passed into the `sources` map.
-140                source = source or exp.Placeholder()
-141                node.downstream.append(Node(name=c.sql(), source=source, expression=source))
-142
-143        return node
-144
-145    return to_node(column if isinstance(column, str) else column.name, scope)
+ 38
+ 39def lineage(
+ 40    column: str | exp.Column,
+ 41    sql: str | exp.Expression,
+ 42    schema: t.Optional[t.Dict | Schema] = None,
+ 43    sources: t.Optional[t.Dict[str, str | exp.Subqueryable]] = None,
+ 44    rules: t.Sequence[t.Callable] = (lower_identities, qualify_tables, qualify_columns),
+ 45    dialect: DialectType = None,
+ 46) -> Node:
+ 47    """Build the lineage graph for a column of a SQL query.
+ 48
+ 49    Args:
+ 50        column: The column to build the lineage for.
+ 51        sql: The SQL string or expression.
+ 52        schema: The schema of tables.
+ 53        sources: A mapping of queries which will be used to continue building lineage.
+ 54        rules: Optimizer rules to apply, by default only qualifying tables and columns.
+ 55        dialect: The dialect of input SQL.
+ 56
+ 57    Returns:
+ 58        A lineage node.
+ 59    """
+ 60
+ 61    expression = maybe_parse(sql, dialect=dialect)
+ 62
+ 63    if sources:
+ 64        expression = exp.expand(
+ 65            expression,
+ 66            {
+ 67                k: t.cast(exp.Subqueryable, maybe_parse(v, dialect=dialect))
+ 68                for k, v in sources.items()
+ 69            },
+ 70        )
+ 71
+ 72    optimized = optimize(expression, schema=schema, rules=rules)
+ 73    scope = build_scope(optimized)
+ 74
+ 75    if not scope:
+ 76        raise SqlglotError("Cannot build lineage, sql must be SELECT")
+ 77
+ 78    def to_node(
+ 79        column_name: str,
+ 80        scope: Scope,
+ 81        scope_name: t.Optional[str] = None,
+ 82        upstream: t.Optional[Node] = None,
+ 83        alias: t.Optional[str] = None,
+ 84    ) -> Node:
+ 85        aliases = {
+ 86            dt.alias: dt.comments[0].split()[1]
+ 87            for dt in scope.derived_tables
+ 88            if dt.comments and dt.comments[0].startswith("source: ")
+ 89        }
+ 90        if isinstance(scope.expression, exp.Union):
+ 91            for scope in scope.union_scopes:
+ 92                node = to_node(
+ 93                    column_name,
+ 94                    scope=scope,
+ 95                    scope_name=scope_name,
+ 96                    upstream=upstream,
+ 97                    alias=aliases.get(scope_name),
+ 98                )
+ 99            return node
+100
+101        # Find the specific select clause that is the source of the column we want.
+102        # This can either be a specific, named select or a generic `*` clause.
+103        select = next(
+104            (select for select in scope.selects if select.alias_or_name == column_name),
+105            exp.Star() if scope.expression.is_star else None,
+106        )
+107
+108        if not select:
+109            raise ValueError(f"Could not find {column_name} in {scope.expression}")
+110
+111        if isinstance(scope.expression, exp.Select):
+112            # For better ergonomics in our node labels, replace the full select with
+113            # a version that has only the column we care about.
+114            #   "x", SELECT x, y FROM foo
+115            #     => "x", SELECT x FROM foo
+116            source = t.cast(exp.Expression, scope.expression.select(select, append=False))
+117        else:
+118            source = scope.expression
+119
+120        # Create the node for this step in the lineage chain, and attach it to the previous one.
+121        node = Node(
+122            name=f"{scope_name}.{column_name}" if scope_name else column_name,
+123            source=source,
+124            expression=select,
+125            alias=alias or "",
+126        )
+127        if upstream:
+128            upstream.downstream.append(node)
+129
+130        # Find all columns that went into creating this one to list their lineage nodes.
+131        for c in set(select.find_all(exp.Column)):
+132            table = c.table
+133            source = scope.sources.get(table)
+134
+135            if isinstance(source, Scope):
+136                # The table itself came from a more specific scope. Recurse into that one using the unaliased column name.
+137                to_node(
+138                    c.name, scope=source, scope_name=table, upstream=node, alias=aliases.get(table)
+139                )
+140            else:
+141                # The source is not a scope - we've reached the end of the line. At this point, if a source is not found
+142                # it means this column's lineage is unknown. This can happen if the definition of a source used in a query
+143                # is not passed into the `sources` map.
+144                source = source or exp.Placeholder()
+145                node.downstream.append(Node(name=c.sql(), source=source, expression=source))
 146
-147
-148class LineageHTML:
-149    """Node to HTML generator using vis.js.
+147        return node
+148
+149    return to_node(column if isinstance(column, str) else column.name, scope)
 150
-151    https://visjs.github.io/vis-network/docs/network/
-152    """
-153
-154    def __init__(
-155        self,
-156        node: Node,
-157        dialect: DialectType = None,
-158        imports: bool = True,
-159        **opts: t.Any,
-160    ):
-161        self.node = node
-162        self.imports = imports
-163
-164        self.options = {
-165            "height": "500px",
-166            "width": "100%",
-167            "layout": {
-168                "hierarchical": {
-169                    "enabled": True,
-170                    "nodeSpacing": 200,
-171                    "sortMethod": "directed",
-172                },
-173            },
-174            "interaction": {
-175                "dragNodes": False,
-176                "selectable": False,
+151
+152class LineageHTML:
+153    """Node to HTML generator using vis.js.
+154
+155    https://visjs.github.io/vis-network/docs/network/
+156    """
+157
+158    def __init__(
+159        self,
+160        node: Node,
+161        dialect: DialectType = None,
+162        imports: bool = True,
+163        **opts: t.Any,
+164    ):
+165        self.node = node
+166        self.imports = imports
+167
+168        self.options = {
+169            "height": "500px",
+170            "width": "100%",
+171            "layout": {
+172                "hierarchical": {
+173                    "enabled": True,
+174                    "nodeSpacing": 200,
+175                    "sortMethod": "directed",
+176                },
 177            },
-178            "physics": {
-179                "enabled": False,
-180            },
-181            "edges": {
-182                "arrows": "to",
-183            },
-184            "nodes": {
-185                "font": "20px monaco",
-186                "shape": "box",
-187                "widthConstraint": {
-188                    "maximum": 300,
-189                },
-190            },
-191            **opts,
-192        }
-193
-194        self.nodes = {}
-195        self.edges = []
-196
-197        for node in node.walk():
-198            if isinstance(node.expression, exp.Table):
-199                label = f"FROM {node.expression.this}"
-200                title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>"
-201                group = 1
-202            else:
-203                label = node.expression.sql(pretty=True, dialect=dialect)
-204                source = node.source.transform(
-205                    lambda n: exp.Tag(this=n, prefix="<b>", postfix="</b>")
-206                    if n is node.expression
-207                    else n,
-208                    copy=False,
-209                ).sql(pretty=True, dialect=dialect)
-210                title = f"<pre>{source}</pre>"
-211                group = 0
-212
-213            node_id = id(node)
-214
-215            self.nodes[node_id] = {
-216                "id": node_id,
-217                "label": label,
-218                "title": title,
-219                "group": group,
-220            }
-221
-222            for d in node.downstream:
-223                self.edges.append({"from": node_id, "to": id(d)})
-224
-225    def __str__(self):
-226        nodes = json.dumps(list(self.nodes.values()))
-227        edges = json.dumps(self.edges)
-228        options = json.dumps(self.options)
-229        imports = (
-230            """<script type="text/javascript" src="https://unpkg.com/vis-data@latest/peer/umd/vis-data.min.js"></script>
-231  <script type="text/javascript" src="https://unpkg.com/vis-network@latest/peer/umd/vis-network.min.js"></script>
-232  <link rel="stylesheet" type="text/css" href="https://unpkg.com/vis-network/styles/vis-network.min.css" />"""
-233            if self.imports
-234            else ""
-235        )
-236
-237        return f"""<div>
-238  <div id="sqlglot-lineage"></div>
-239  {imports}
-240  <script type="text/javascript">
-241    var nodes = new vis.DataSet({nodes})
-242    nodes.forEach(row => row["title"] = new DOMParser().parseFromString(row["title"], "text/html").body.childNodes[0])
-243
-244    new vis.Network(
-245        document.getElementById("sqlglot-lineage"),
-246        {{
-247            nodes: nodes,
-248            edges: new vis.DataSet({edges})
-249        }},
-250        {options},
-251    )
-252  </script>
-253</div>"""
-254
-255    def _repr_html_(self) -> str:
-256        return self.__str__()
+178            "interaction": {
+179                "dragNodes": False,
+180                "selectable": False,
+181            },
+182            "physics": {
+183                "enabled": False,
+184            },
+185            "edges": {
+186                "arrows": "to",
+187            },
+188            "nodes": {
+189                "font": "20px monaco",
+190                "shape": "box",
+191                "widthConstraint": {
+192                    "maximum": 300,
+193                },
+194            },
+195            **opts,
+196        }
+197
+198        self.nodes = {}
+199        self.edges = []
+200
+201        for node in node.walk():
+202            if isinstance(node.expression, exp.Table):
+203                label = f"FROM {node.expression.this}"
+204                title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>"
+205                group = 1
+206            else:
+207                label = node.expression.sql(pretty=True, dialect=dialect)
+208                source = node.source.transform(
+209                    lambda n: exp.Tag(this=n, prefix="<b>", postfix="</b>")
+210                    if n is node.expression
+211                    else n,
+212                    copy=False,
+213                ).sql(pretty=True, dialect=dialect)
+214                title = f"<pre>{source}</pre>"
+215                group = 0
+216
+217            node_id = id(node)
+218
+219            self.nodes[node_id] = {
+220                "id": node_id,
+221                "label": label,
+222                "title": title,
+223                "group": group,
+224            }
+225
+226            for d in node.downstream:
+227                self.edges.append({"from": node_id, "to": id(d)})
+228
+229    def __str__(self):
+230        nodes = json.dumps(list(self.nodes.values()))
+231        edges = json.dumps(self.edges)
+232        options = json.dumps(self.options)
+233        imports = (
+234            """<script type="text/javascript" src="https://unpkg.com/vis-data@latest/peer/umd/vis-data.min.js"></script>
+235  <script type="text/javascript" src="https://unpkg.com/vis-network@latest/peer/umd/vis-network.min.js"></script>
+236  <link rel="stylesheet" type="text/css" href="https://unpkg.com/vis-network/styles/vis-network.min.css" />"""
+237            if self.imports
+238            else ""
+239        )
+240
+241        return f"""<div>
+242  <div id="sqlglot-lineage"></div>
+243  {imports}
+244  <script type="text/javascript">
+245    var nodes = new vis.DataSet({nodes})
+246    nodes.forEach(row => row["title"] = new DOMParser().parseFromString(row["title"], "text/html").body.childNodes[0])
+247
+248    new vis.Network(
+249        document.getElementById("sqlglot-lineage"),
+250        {{
+251            nodes: nodes,
+252            edges: new vis.DataSet({edges})
+253        }},
+254        {options},
+255    )
+256  </script>
+257</div>"""
+258
+259    def _repr_html_(self) -> str:
+260        return self.__str__()
 
    
 
 
@@ -352,25 +356,25 @@ 
    
 
     
    
     
-            
    18@dataclass(frozen=True)
-19class Node:
-20    name: str
-21    expression: exp.Expression
-22    source: exp.Expression
-23    downstream: t.List[Node] = field(default_factory=list)
-24    alias: str = ""
-25
-26    def walk(self) -> t.Iterator[Node]:
-27        yield self
-28
-29        for d in self.downstream:
-30            if isinstance(d, Node):
-31                yield from d.walk()
-32            else:
-33                yield d
-34
-35    def to_html(self, **opts) -> LineageHTML:
-36        return LineageHTML(self, **opts)
+            
    19@dataclass(frozen=True)
+20class Node:
+21    name: str
+22    expression: exp.Expression
+23    source: exp.Expression
+24    downstream: t.List[Node] = field(default_factory=list)
+25    alias: str = ""
+26
+27    def walk(self) -> t.Iterator[Node]:
+28        yield self
+29
+30        for d in self.downstream:
+31            if isinstance(d, Node):
+32                yield from d.walk()
+33            else:
+34                yield d
+35
+36    def to_html(self, **opts) -> LineageHTML:
+37        return LineageHTML(self, **opts)
 
    
 
 
@@ -399,14 +403,14 @@ 
    
 
     
    
     
-            
    26    def walk(self) -> t.Iterator[Node]:
-27        yield self
-28
-29        for d in self.downstream:
-30            if isinstance(d, Node):
-31                yield from d.walk()
-32            else:
-33                yield d
+            
    27    def walk(self) -> t.Iterator[Node]:
+28        yield self
+29
+30        for d in self.downstream:
+31            if isinstance(d, Node):
+32                yield from d.walk()
+33            else:
+34                yield d
 
    
 
 
@@ -424,8 +428,8 @@ 
    
 
     
    
     
-            
    35    def to_html(self, **opts) -> LineageHTML:
-36        return LineageHTML(self, **opts)
+            
    36    def to_html(self, **opts) -> LineageHTML:
+37        return LineageHTML(self, **opts)
 
    
 
 
@@ -438,120 +442,123 @@ 
    
 
    
             
         def
-        lineage(	column: str | sqlglot.expressions.Column,	sql: str | sqlglot.expressions.Expression,	schema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,	sources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,	rules: Sequence[Callable] = (<function lower_identities at 0x7f07e306f9a0>, <function qualify_tables at 0x7f07e2fba170>, <function qualify_columns at 0x7f07e2fb8f70>),	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:
+        lineage(	column: str | sqlglot.expressions.Column,	sql: str | sqlglot.expressions.Expression,	schema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,	sources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,	rules: Sequence[Callable] = (<function lower_identities at 0x7f4773a8b6d0>, <function qualify_tables at 0x7f4773a65d80>, <function qualify_columns at 0x7f4773a64c10>),	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.lineage.Node:
 
                 
 
     
    
     
-            
     39def lineage(
- 40    column: str | exp.Column,
- 41    sql: str | exp.Expression,
- 42    schema: t.Optional[t.Dict | Schema] = None,
- 43    sources: t.Optional[t.Dict[str, str | exp.Subqueryable]] = None,
- 44    rules: t.Sequence[t.Callable] = (lower_identities, qualify_tables, qualify_columns),
- 45    dialect: DialectType = None,
- 46) -> Node:
- 47    """Build the lineage graph for a column of a SQL query.
- 48
- 49    Args:
- 50        column: The column to build the lineage for.
- 51        sql: The SQL string or expression.
- 52        schema: The schema of tables.
- 53        sources: A mapping of queries which will be used to continue building lineage.
- 54        rules: Optimizer rules to apply, by default only qualifying tables and columns.
- 55        dialect: The dialect of input SQL.
- 56
- 57    Returns:
- 58        A lineage node.
- 59    """
- 60
- 61    expression = maybe_parse(sql, dialect=dialect)
- 62
- 63    if sources:
- 64        expression = exp.expand(
- 65            expression,
- 66            {
- 67                k: t.cast(exp.Subqueryable, maybe_parse(v, dialect=dialect))
- 68                for k, v in sources.items()
- 69            },
- 70        )
- 71
- 72    optimized = optimize(expression, schema=schema, rules=rules)
- 73    scope = build_scope(optimized)
- 74
- 75    def to_node(
- 76        column_name: str,
- 77        scope: Scope,
- 78        scope_name: t.Optional[str] = None,
- 79        upstream: t.Optional[Node] = None,
- 80        alias: t.Optional[str] = None,
- 81    ) -> Node:
- 82        aliases = {
- 83            dt.alias: dt.comments[0].split()[1]
- 84            for dt in scope.derived_tables
- 85            if dt.comments and dt.comments[0].startswith("source: ")
- 86        }
- 87        if isinstance(scope.expression, exp.Union):
- 88            for scope in scope.union_scopes:
- 89                node = to_node(
- 90                    column_name,
- 91                    scope=scope,
- 92                    scope_name=scope_name,
- 93                    upstream=upstream,
- 94                    alias=aliases.get(scope_name),
- 95                )
- 96            return node
- 97
- 98        # Find the specific select clause that is the source of the column we want.
- 99        # This can either be a specific, named select or a generic `*` clause.
-100        select = next(
-101            (select for select in scope.selects if select.alias_or_name == column_name),
-102            exp.Star() if scope.expression.is_star else None,
-103        )
-104
-105        if not select:
-106            raise ValueError(f"Could not find {column_name} in {scope.expression}")
-107
-108        if isinstance(scope.expression, exp.Select):
-109            # For better ergonomics in our node labels, replace the full select with
-110            # a version that has only the column we care about.
-111            #   "x", SELECT x, y FROM foo
-112            #     => "x", SELECT x FROM foo
-113            source = t.cast(exp.Expression, scope.expression.select(select, append=False))
-114        else:
-115            source = scope.expression
-116
-117        # Create the node for this step in the lineage chain, and attach it to the previous one.
-118        node = Node(
-119            name=f"{scope_name}.{column_name}" if scope_name else column_name,
-120            source=source,
-121            expression=select,
-122            alias=alias or "",
-123        )
-124        if upstream:
-125            upstream.downstream.append(node)
-126
-127        # Find all columns that went into creating this one to list their lineage nodes.
-128        for c in set(select.find_all(exp.Column)):
-129            table = c.table
-130            source = scope.sources.get(table)
-131
-132            if isinstance(source, Scope):
-133                # The table itself came from a more specific scope. Recurse into that one using the unaliased column name.
-134                to_node(
-135                    c.name, scope=source, scope_name=table, upstream=node, alias=aliases.get(table)
-136                )
-137            else:
-138                # The source is not a scope - we've reached the end of the line. At this point, if a source is not found
-139                # it means this column's lineage is unknown. This can happen if the definition of a source used in a query
-140                # is not passed into the `sources` map.
-141                source = source or exp.Placeholder()
-142                node.downstream.append(Node(name=c.sql(), source=source, expression=source))
-143
-144        return node
-145
-146    return to_node(column if isinstance(column, str) else column.name, scope)
+            
     40def lineage(
+ 41    column: str | exp.Column,
+ 42    sql: str | exp.Expression,
+ 43    schema: t.Optional[t.Dict | Schema] = None,
+ 44    sources: t.Optional[t.Dict[str, str | exp.Subqueryable]] = None,
+ 45    rules: t.Sequence[t.Callable] = (lower_identities, qualify_tables, qualify_columns),
+ 46    dialect: DialectType = None,
+ 47) -> Node:
+ 48    """Build the lineage graph for a column of a SQL query.
+ 49
+ 50    Args:
+ 51        column: The column to build the lineage for.
+ 52        sql: The SQL string or expression.
+ 53        schema: The schema of tables.
+ 54        sources: A mapping of queries which will be used to continue building lineage.
+ 55        rules: Optimizer rules to apply, by default only qualifying tables and columns.
+ 56        dialect: The dialect of input SQL.
+ 57
+ 58    Returns:
+ 59        A lineage node.
+ 60    """
+ 61
+ 62    expression = maybe_parse(sql, dialect=dialect)
+ 63
+ 64    if sources:
+ 65        expression = exp.expand(
+ 66            expression,
+ 67            {
+ 68                k: t.cast(exp.Subqueryable, maybe_parse(v, dialect=dialect))
+ 69                for k, v in sources.items()
+ 70            },
+ 71        )
+ 72
+ 73    optimized = optimize(expression, schema=schema, rules=rules)
+ 74    scope = build_scope(optimized)
+ 75
+ 76    if not scope:
+ 77        raise SqlglotError("Cannot build lineage, sql must be SELECT")
+ 78
+ 79    def to_node(
+ 80        column_name: str,
+ 81        scope: Scope,
+ 82        scope_name: t.Optional[str] = None,
+ 83        upstream: t.Optional[Node] = None,
+ 84        alias: t.Optional[str] = None,
+ 85    ) -> Node:
+ 86        aliases = {
+ 87            dt.alias: dt.comments[0].split()[1]
+ 88            for dt in scope.derived_tables
+ 89            if dt.comments and dt.comments[0].startswith("source: ")
+ 90        }
+ 91        if isinstance(scope.expression, exp.Union):
+ 92            for scope in scope.union_scopes:
+ 93                node = to_node(
+ 94                    column_name,
+ 95                    scope=scope,
+ 96                    scope_name=scope_name,
+ 97                    upstream=upstream,
+ 98                    alias=aliases.get(scope_name),
+ 99                )
+100            return node
+101
+102        # Find the specific select clause that is the source of the column we want.
+103        # This can either be a specific, named select or a generic `*` clause.
+104        select = next(
+105            (select for select in scope.selects if select.alias_or_name == column_name),
+106            exp.Star() if scope.expression.is_star else None,
+107        )
+108
+109        if not select:
+110            raise ValueError(f"Could not find {column_name} in {scope.expression}")
+111
+112        if isinstance(scope.expression, exp.Select):
+113            # For better ergonomics in our node labels, replace the full select with
+114            # a version that has only the column we care about.
+115            #   "x", SELECT x, y FROM foo
+116            #     => "x", SELECT x FROM foo
+117            source = t.cast(exp.Expression, scope.expression.select(select, append=False))
+118        else:
+119            source = scope.expression
+120
+121        # Create the node for this step in the lineage chain, and attach it to the previous one.
+122        node = Node(
+123            name=f"{scope_name}.{column_name}" if scope_name else column_name,
+124            source=source,
+125            expression=select,
+126            alias=alias or "",
+127        )
+128        if upstream:
+129            upstream.downstream.append(node)
+130
+131        # Find all columns that went into creating this one to list their lineage nodes.
+132        for c in set(select.find_all(exp.Column)):
+133            table = c.table
+134            source = scope.sources.get(table)
+135
+136            if isinstance(source, Scope):
+137                # The table itself came from a more specific scope. Recurse into that one using the unaliased column name.
+138                to_node(
+139                    c.name, scope=source, scope_name=table, upstream=node, alias=aliases.get(table)
+140                )
+141            else:
+142                # The source is not a scope - we've reached the end of the line. At this point, if a source is not found
+143                # it means this column's lineage is unknown. This can happen if the definition of a source used in a query
+144                # is not passed into the `sources` map.
+145                source = source or exp.Placeholder()
+146                node.downstream.append(Node(name=c.sql(), source=source, expression=source))
+147
+148        return node
+149
+150    return to_node(column if isinstance(column, str) else column.name, scope)
 
    
 
 
@@ -588,115 +595,115 @@ 
    Returns:
    
 
     
    
     
-            
    149class LineageHTML:
-150    """Node to HTML generator using vis.js.
-151
-152    https://visjs.github.io/vis-network/docs/network/
-153    """
-154
-155    def __init__(
-156        self,
-157        node: Node,
-158        dialect: DialectType = None,
-159        imports: bool = True,
-160        **opts: t.Any,
-161    ):
-162        self.node = node
-163        self.imports = imports
-164
-165        self.options = {
-166            "height": "500px",
-167            "width": "100%",
-168            "layout": {
-169                "hierarchical": {
-170                    "enabled": True,
-171                    "nodeSpacing": 200,
-172                    "sortMethod": "directed",
-173                },
-174            },
-175            "interaction": {
-176                "dragNodes": False,
-177                "selectable": False,
+            
    153class LineageHTML:
+154    """Node to HTML generator using vis.js.
+155
+156    https://visjs.github.io/vis-network/docs/network/
+157    """
+158
+159    def __init__(
+160        self,
+161        node: Node,
+162        dialect: DialectType = None,
+163        imports: bool = True,
+164        **opts: t.Any,
+165    ):
+166        self.node = node
+167        self.imports = imports
+168
+169        self.options = {
+170            "height": "500px",
+171            "width": "100%",
+172            "layout": {
+173                "hierarchical": {
+174                    "enabled": True,
+175                    "nodeSpacing": 200,
+176                    "sortMethod": "directed",
+177                },
 178            },
-179            "physics": {
-180                "enabled": False,
-181            },
-182            "edges": {
-183                "arrows": "to",
-184            },
-185            "nodes": {
-186                "font": "20px monaco",
-187                "shape": "box",
-188                "widthConstraint": {
-189                    "maximum": 300,
-190                },
-191            },
-192            **opts,
-193        }
-194
-195        self.nodes = {}
-196        self.edges = []
-197
-198        for node in node.walk():
-199            if isinstance(node.expression, exp.Table):
-200                label = f"FROM {node.expression.this}"
-201                title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>"
-202                group = 1
-203            else:
-204                label = node.expression.sql(pretty=True, dialect=dialect)
-205                source = node.source.transform(
-206                    lambda n: exp.Tag(this=n, prefix="<b>", postfix="</b>")
-207                    if n is node.expression
-208                    else n,
-209                    copy=False,
-210                ).sql(pretty=True, dialect=dialect)
-211                title = f"<pre>{source}</pre>"
-212                group = 0
-213
-214            node_id = id(node)
-215
-216            self.nodes[node_id] = {
-217                "id": node_id,
-218                "label": label,
-219                "title": title,
-220                "group": group,
-221            }
-222
-223            for d in node.downstream:
-224                self.edges.append({"from": node_id, "to": id(d)})
-225
-226    def __str__(self):
-227        nodes = json.dumps(list(self.nodes.values()))
-228        edges = json.dumps(self.edges)
-229        options = json.dumps(self.options)
-230        imports = (
-231            """<script type="text/javascript" src="https://unpkg.com/vis-data@latest/peer/umd/vis-data.min.js"></script>
-232  <script type="text/javascript" src="https://unpkg.com/vis-network@latest/peer/umd/vis-network.min.js"></script>
-233  <link rel="stylesheet" type="text/css" href="https://unpkg.com/vis-network/styles/vis-network.min.css" />"""
-234            if self.imports
-235            else ""
-236        )
-237
-238        return f"""<div>
-239  <div id="sqlglot-lineage"></div>
-240  {imports}
-241  <script type="text/javascript">
-242    var nodes = new vis.DataSet({nodes})
-243    nodes.forEach(row => row["title"] = new DOMParser().parseFromString(row["title"], "text/html").body.childNodes[0])
-244
-245    new vis.Network(
-246        document.getElementById("sqlglot-lineage"),
-247        {{
-248            nodes: nodes,
-249            edges: new vis.DataSet({edges})
-250        }},
-251        {options},
-252    )
-253  </script>
-254</div>"""
-255
-256    def _repr_html_(self) -> str:
-257        return self.__str__()
+179            "interaction": {
+180                "dragNodes": False,
+181                "selectable": False,
+182            },
+183            "physics": {
+184                "enabled": False,
+185            },
+186            "edges": {
+187                "arrows": "to",
+188            },
+189            "nodes": {
+190                "font": "20px monaco",
+191                "shape": "box",
+192                "widthConstraint": {
+193                    "maximum": 300,
+194                },
+195            },
+196            **opts,
+197        }
+198
+199        self.nodes = {}
+200        self.edges = []
+201
+202        for node in node.walk():
+203            if isinstance(node.expression, exp.Table):
+204                label = f"FROM {node.expression.this}"
+205                title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>"
+206                group = 1
+207            else:
+208                label = node.expression.sql(pretty=True, dialect=dialect)
+209                source = node.source.transform(
+210                    lambda n: exp.Tag(this=n, prefix="<b>", postfix="</b>")
+211                    if n is node.expression
+212                    else n,
+213                    copy=False,
+214                ).sql(pretty=True, dialect=dialect)
+215                title = f"<pre>{source}</pre>"
+216                group = 0
+217
+218            node_id = id(node)
+219
+220            self.nodes[node_id] = {
+221                "id": node_id,
+222                "label": label,
+223                "title": title,
+224                "group": group,
+225            }
+226
+227            for d in node.downstream:
+228                self.edges.append({"from": node_id, "to": id(d)})
+229
+230    def __str__(self):
+231        nodes = json.dumps(list(self.nodes.values()))
+232        edges = json.dumps(self.edges)
+233        options = json.dumps(self.options)
+234        imports = (
+235            """<script type="text/javascript" src="https://unpkg.com/vis-data@latest/peer/umd/vis-data.min.js"></script>
+236  <script type="text/javascript" src="https://unpkg.com/vis-network@latest/peer/umd/vis-network.min.js"></script>
+237  <link rel="stylesheet" type="text/css" href="https://unpkg.com/vis-network/styles/vis-network.min.css" />"""
+238            if self.imports
+239            else ""
+240        )
+241
+242        return f"""<div>
+243  <div id="sqlglot-lineage"></div>
+244  {imports}
+245  <script type="text/javascript">
+246    var nodes = new vis.DataSet({nodes})
+247    nodes.forEach(row => row["title"] = new DOMParser().parseFromString(row["title"], "text/html").body.childNodes[0])
+248
+249    new vis.Network(
+250        document.getElementById("sqlglot-lineage"),
+251        {{
+252            nodes: nodes,
+253            edges: new vis.DataSet({edges})
+254        }},
+255        {options},
+256    )
+257  </script>
+258</div>"""
+259
+260    def _repr_html_(self) -> str:
+261        return self.__str__()
 
    
 
 
@@ -716,76 +723,76 @@ 
    Returns:
    
 
     
    
     
-            
    155    def __init__(
-156        self,
-157        node: Node,
-158        dialect: DialectType = None,
-159        imports: bool = True,
-160        **opts: t.Any,
-161    ):
-162        self.node = node
-163        self.imports = imports
-164
-165        self.options = {
-166            "height": "500px",
-167            "width": "100%",
-168            "layout": {
-169                "hierarchical": {
-170                    "enabled": True,
-171                    "nodeSpacing": 200,
-172                    "sortMethod": "directed",
-173                },
-174            },
-175            "interaction": {
-176                "dragNodes": False,
-177                "selectable": False,
+            
    159    def __init__(
+160        self,
+161        node: Node,
+162        dialect: DialectType = None,
+163        imports: bool = True,
+164        **opts: t.Any,
+165    ):
+166        self.node = node
+167        self.imports = imports
+168
+169        self.options = {
+170            "height": "500px",
+171            "width": "100%",
+172            "layout": {
+173                "hierarchical": {
+174                    "enabled": True,
+175                    "nodeSpacing": 200,
+176                    "sortMethod": "directed",
+177                },
 178            },
-179            "physics": {
-180                "enabled": False,
-181            },
-182            "edges": {
-183                "arrows": "to",
-184            },
-185            "nodes": {
-186                "font": "20px monaco",
-187                "shape": "box",
-188                "widthConstraint": {
-189                    "maximum": 300,
-190                },
-191            },
-192            **opts,
-193        }
-194
-195        self.nodes = {}
-196        self.edges = []
-197
-198        for node in node.walk():
-199            if isinstance(node.expression, exp.Table):
-200                label = f"FROM {node.expression.this}"
-201                title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>"
-202                group = 1
-203            else:
-204                label = node.expression.sql(pretty=True, dialect=dialect)
-205                source = node.source.transform(
-206                    lambda n: exp.Tag(this=n, prefix="<b>", postfix="</b>")
-207                    if n is node.expression
-208                    else n,
-209                    copy=False,
-210                ).sql(pretty=True, dialect=dialect)
-211                title = f"<pre>{source}</pre>"
-212                group = 0
-213
-214            node_id = id(node)
-215
-216            self.nodes[node_id] = {
-217                "id": node_id,
-218                "label": label,
-219                "title": title,
-220                "group": group,
-221            }
-222
-223            for d in node.downstream:
-224                self.edges.append({"from": node_id, "to": id(d)})
+179            "interaction": {
+180                "dragNodes": False,
+181                "selectable": False,
+182            },
+183            "physics": {
+184                "enabled": False,
+185            },
+186            "edges": {
+187                "arrows": "to",
+188            },
+189            "nodes": {
+190                "font": "20px monaco",
+191                "shape": "box",
+192                "widthConstraint": {
+193                    "maximum": 300,
+194                },
+195            },
+196            **opts,
+197        }
+198
+199        self.nodes = {}
+200        self.edges = []
+201
+202        for node in node.walk():
+203            if isinstance(node.expression, exp.Table):
+204                label = f"FROM {node.expression.this}"
+205                title = f"<pre>SELECT {node.name} FROM {node.expression.this}</pre>"
+206                group = 1
+207            else:
+208                label = node.expression.sql(pretty=True, dialect=dialect)
+209                source = node.source.transform(
+210                    lambda n: exp.Tag(this=n, prefix="<b>", postfix="</b>")
+211                    if n is node.expression
+212                    else n,
+213                    copy=False,
+214                ).sql(pretty=True, dialect=dialect)
+215                title = f"<pre>{source}</pre>"
+216                group = 0
+217
+218            node_id = id(node)
+219
+220            self.nodes[node_id] = {
+221                "id": node_id,
+222                "label": label,
+223                "title": title,
+224                "group": group,
+225            }
+226
+227            for d in node.downstream:
+228                self.edges.append({"from": node_id, "to": id(d)})
 
    
 
 
diff --git a/docs/sqlglot/optimizer/eliminate_ctes.html b/docs/sqlglot/optimizer/eliminate_ctes.html
index 3b66f784a6..afa0f099b5 100644
--- a/docs/sqlglot/optimizer/eliminate_ctes.html
+++ b/docs/sqlglot/optimizer/eliminate_ctes.html
@@ -77,27 +77,28 @@ 
    
 19    """
 20    root = build_scope(expression)
 21
-22    ref_count = root.ref_count()
-23
-24    # Traverse the scope tree in reverse so we can remove chains of unused CTEs
-25    for scope in reversed(list(root.traverse())):
-26        if scope.is_cte:
-27            count = ref_count[id(scope)]
-28            if count <= 0:
-29                cte_node = scope.expression.parent
-30                with_node = cte_node.parent
-31                cte_node.pop()
-32
-33                # Pop the entire WITH clause if this is the last CTE
-34                if len(with_node.expressions) <= 0:
-35                    with_node.pop()
-36
-37                # Decrement the ref count for all sources this CTE selects from
-38                for _, source in scope.selected_sources.values():
-39                    if isinstance(source, Scope):
-40                        ref_count[id(source)] -= 1
-41
-42    return expression
+22    if root:
+23        ref_count = root.ref_count()
+24
+25        # Traverse the scope tree in reverse so we can remove chains of unused CTEs
+26        for scope in reversed(list(root.traverse())):
+27            if scope.is_cte:
+28                count = ref_count[id(scope)]
+29                if count <= 0:
+30                    cte_node = scope.expression.parent
+31                    with_node = cte_node.parent
+32                    cte_node.pop()
+33
+34                    # Pop the entire WITH clause if this is the last CTE
+35                    if len(with_node.expressions) <= 0:
+36                        with_node.pop()
+37
+38                    # Decrement the ref count for all sources this CTE selects from
+39                    for _, source in scope.selected_sources.values():
+40                        if isinstance(source, Scope):
+41                            ref_count[id(source)] -= 1
+42
+43    return expression
 
    
 
 
@@ -131,27 +132,28 @@ 
    
 20    """
 21    root = build_scope(expression)
 22
-23    ref_count = root.ref_count()
-24
-25    # Traverse the scope tree in reverse so we can remove chains of unused CTEs
-26    for scope in reversed(list(root.traverse())):
-27        if scope.is_cte:
-28            count = ref_count[id(scope)]
-29            if count <= 0:
-30                cte_node = scope.expression.parent
-31                with_node = cte_node.parent
-32                cte_node.pop()
-33
-34                # Pop the entire WITH clause if this is the last CTE
-35                if len(with_node.expressions) <= 0:
-36                    with_node.pop()
-37
-38                # Decrement the ref count for all sources this CTE selects from
-39                for _, source in scope.selected_sources.values():
-40                    if isinstance(source, Scope):
-41                        ref_count[id(source)] -= 1
-42
-43    return expression
+23    if root:
+24        ref_count = root.ref_count()
+25
+26        # Traverse the scope tree in reverse so we can remove chains of unused CTEs
+27        for scope in reversed(list(root.traverse())):
+28            if scope.is_cte:
+29                count = ref_count[id(scope)]
+30                if count <= 0:
+31                    cte_node = scope.expression.parent
+32                    with_node = cte_node.parent
+33                    cte_node.pop()
+34
+35                    # Pop the entire WITH clause if this is the last CTE
+36                    if len(with_node.expressions) <= 0:
+37                        with_node.pop()
+38
+39                    # Decrement the ref count for all sources this CTE selects from
+40                    for _, source in scope.selected_sources.values():
+41                        if isinstance(source, Scope):
+42                            ref_count[id(source)] -= 1
+43
+44    return expression
 
    
 
 
diff --git a/docs/sqlglot/optimizer/eliminate_subqueries.html b/docs/sqlglot/optimizer/eliminate_subqueries.html
index 95a3a02f55..3b25367eda 100644
--- a/docs/sqlglot/optimizer/eliminate_subqueries.html
+++ b/docs/sqlglot/optimizer/eliminate_subqueries.html
@@ -90,169 +90,172 @@ 
    
  32
  33    root = build_scope(expression)
  34
- 35    # Map of alias->Scope|Table
- 36    # These are all aliases that are already used in the expression.
- 37    # We don't want to create new CTEs that conflict with these names.
- 38    taken = {}
- 39
- 40    # All CTE aliases in the root scope are taken
- 41    for scope in root.cte_scopes:
- 42        taken[scope.expression.parent.alias] = scope
- 43
- 44    # All table names are taken
- 45    for scope in root.traverse():
- 46        taken.update(
- 47            {
- 48                source.name: source
- 49                for _, source in scope.sources.items()
- 50                if isinstance(source, exp.Table)
- 51            }
- 52        )
- 53
- 54    # Map of Expression->alias
- 55    # Existing CTES in the root expression. We'll use this for deduplication.
- 56    existing_ctes = {}
- 57
- 58    with_ = root.expression.args.get("with")
- 59    recursive = False
- 60    if with_:
- 61        recursive = with_.args.get("recursive")
- 62        for cte in with_.expressions:
- 63            existing_ctes[cte.this] = cte.alias
- 64    new_ctes = []
- 65
- 66    # We're adding more CTEs, but we want to maintain the DAG order.
- 67    # Derived tables within an existing CTE need to come before the existing CTE.
- 68    for cte_scope in root.cte_scopes:
- 69        # Append all the new CTEs from this existing CTE
- 70        for scope in cte_scope.traverse():
- 71            if scope is cte_scope:
- 72                # Don't try to eliminate this CTE itself
- 73                continue
- 74            new_cte = _eliminate(scope, existing_ctes, taken)
- 75            if new_cte:
- 76                new_ctes.append(new_cte)
- 77
- 78        # Append the existing CTE itself
- 79        new_ctes.append(cte_scope.expression.parent)
+ 35    if not root:
+ 36        return expression
+ 37
+ 38    # Map of alias->Scope|Table
+ 39    # These are all aliases that are already used in the expression.
+ 40    # We don't want to create new CTEs that conflict with these names.
+ 41    taken = {}
+ 42
+ 43    # All CTE aliases in the root scope are taken
+ 44    for scope in root.cte_scopes:
+ 45        taken[scope.expression.parent.alias] = scope
+ 46
+ 47    # All table names are taken
+ 48    for scope in root.traverse():
+ 49        taken.update(
+ 50            {
+ 51                source.name: source
+ 52                for _, source in scope.sources.items()
+ 53                if isinstance(source, exp.Table)
+ 54            }
+ 55        )
+ 56
+ 57    # Map of Expression->alias
+ 58    # Existing CTES in the root expression. We'll use this for deduplication.
+ 59    existing_ctes = {}
+ 60
+ 61    with_ = root.expression.args.get("with")
+ 62    recursive = False
+ 63    if with_:
+ 64        recursive = with_.args.get("recursive")
+ 65        for cte in with_.expressions:
+ 66            existing_ctes[cte.this] = cte.alias
+ 67    new_ctes = []
+ 68
+ 69    # We're adding more CTEs, but we want to maintain the DAG order.
+ 70    # Derived tables within an existing CTE need to come before the existing CTE.
+ 71    for cte_scope in root.cte_scopes:
+ 72        # Append all the new CTEs from this existing CTE
+ 73        for scope in cte_scope.traverse():
+ 74            if scope is cte_scope:
+ 75                # Don't try to eliminate this CTE itself
+ 76                continue
+ 77            new_cte = _eliminate(scope, existing_ctes, taken)
+ 78            if new_cte:
+ 79                new_ctes.append(new_cte)
  80
- 81    # Now append the rest
- 82    for scope in itertools.chain(root.union_scopes, root.subquery_scopes, root.table_scopes):
- 83        for child_scope in scope.traverse():
- 84            new_cte = _eliminate(child_scope, existing_ctes, taken)
- 85            if new_cte:
- 86                new_ctes.append(new_cte)
- 87
- 88    if new_ctes:
- 89        expression.set("with", exp.With(expressions=new_ctes, recursive=recursive))
+ 81        # Append the existing CTE itself
+ 82        new_ctes.append(cte_scope.expression.parent)
+ 83
+ 84    # Now append the rest
+ 85    for scope in itertools.chain(root.union_scopes, root.subquery_scopes, root.table_scopes):
+ 86        for child_scope in scope.traverse():
+ 87            new_cte = _eliminate(child_scope, existing_ctes, taken)
+ 88            if new_cte:
+ 89                new_ctes.append(new_cte)
  90
- 91    return expression
- 92
+ 91    if new_ctes:
+ 92        expression.set("with", exp.With(expressions=new_ctes, recursive=recursive))
  93
- 94def _eliminate(scope, existing_ctes, taken):
- 95    if scope.is_union:
- 96        return _eliminate_union(scope, existing_ctes, taken)
- 97
- 98    if scope.is_derived_table:
- 99        return _eliminate_derived_table(scope, existing_ctes, taken)
+ 94    return expression
+ 95
+ 96
+ 97def _eliminate(scope, existing_ctes, taken):
+ 98    if scope.is_union:
+ 99        return _eliminate_union(scope, existing_ctes, taken)
 100
-101    if scope.is_cte:
-102        return _eliminate_cte(scope, existing_ctes, taken)
+101    if scope.is_derived_table:
+102        return _eliminate_derived_table(scope, existing_ctes, taken)
 103
-104
-105def _eliminate_union(scope, existing_ctes, taken):
-106    duplicate_cte_alias = existing_ctes.get(scope.expression)
+104    if scope.is_cte:
+105        return _eliminate_cte(scope, existing_ctes, taken)
+106
 107
-108    alias = duplicate_cte_alias or find_new_name(taken=taken, base="cte")
-109
-110    taken[alias] = scope
-111
-112    # Try to maintain the selections
-113    expressions = scope.selects
-114    selects = [
-115        exp.alias_(exp.column(e.alias_or_name, table=alias), alias=e.alias_or_name, copy=False)
-116        for e in expressions
-117        if e.alias_or_name
-118    ]
-119    # If not all selections have an alias, just select *
-120    if len(selects) != len(expressions):
-121        selects = ["*"]
-122
-123    scope.expression.replace(
-124        exp.select(*selects).from_(exp.alias_(exp.table_(alias), alias=alias, copy=False))
-125    )
-126
-127    if not duplicate_cte_alias:
-128        existing_ctes[scope.expression] = alias
-129        return exp.CTE(
-130            this=scope.expression,
-131            alias=exp.TableAlias(this=exp.to_identifier(alias)),
-132        )
-133
-134
-135def _eliminate_derived_table(scope, existing_ctes, taken):
-136    # This ensures we don't drop the "pivot" arg from a pivoted subquery
-137    if scope.parent.pivots:
-138        return None
-139
-140    parent = scope.expression.parent
-141    name, cte = _new_cte(scope, existing_ctes, taken)
+108def _eliminate_union(scope, existing_ctes, taken):
+109    duplicate_cte_alias = existing_ctes.get(scope.expression)
+110
+111    alias = duplicate_cte_alias or find_new_name(taken=taken, base="cte")
+112
+113    taken[alias] = scope
+114
+115    # Try to maintain the selections
+116    expressions = scope.selects
+117    selects = [
+118        exp.alias_(exp.column(e.alias_or_name, table=alias), alias=e.alias_or_name, copy=False)
+119        for e in expressions
+120        if e.alias_or_name
+121    ]
+122    # If not all selections have an alias, just select *
+123    if len(selects) != len(expressions):
+124        selects = ["*"]
+125
+126    scope.expression.replace(
+127        exp.select(*selects).from_(exp.alias_(exp.table_(alias), alias=alias, copy=False))
+128    )
+129
+130    if not duplicate_cte_alias:
+131        existing_ctes[scope.expression] = alias
+132        return exp.CTE(
+133            this=scope.expression,
+134            alias=exp.TableAlias(this=exp.to_identifier(alias)),
+135        )
+136
+137
+138def _eliminate_derived_table(scope, existing_ctes, taken):
+139    # This ensures we don't drop the "pivot" arg from a pivoted subquery
+140    if scope.parent.pivots:
+141        return None
 142
-143    table = exp.alias_(exp.table_(name), alias=parent.alias or name)
-144    parent.replace(table)
+143    parent = scope.expression.parent
+144    name, cte = _new_cte(scope, existing_ctes, taken)
 145
-146    return cte
-147
+146    table = exp.alias_(exp.table_(name), alias=parent.alias or name)
+147    parent.replace(table)
 148
-149def _eliminate_cte(scope, existing_ctes, taken):
-150    parent = scope.expression.parent
-151    name, cte = _new_cte(scope, existing_ctes, taken)
-152
-153    with_ = parent.parent
-154    parent.pop()
-155    if not with_.expressions:
-156        with_.pop()
-157
-158    # Rename references to this CTE
-159    for child_scope in scope.parent.traverse():
-160        for table, source in child_scope.selected_sources.values():
-161            if source is scope:
-162                new_table = exp.alias_(exp.table_(name), alias=table.alias_or_name, copy=False)
-163                table.replace(new_table)
-164
-165    return cte
-166
+149    return cte
+150
+151
+152def _eliminate_cte(scope, existing_ctes, taken):
+153    parent = scope.expression.parent
+154    name, cte = _new_cte(scope, existing_ctes, taken)
+155
+156    with_ = parent.parent
+157    parent.pop()
+158    if not with_.expressions:
+159        with_.pop()
+160
+161    # Rename references to this CTE
+162    for child_scope in scope.parent.traverse():
+163        for table, source in child_scope.selected_sources.values():
+164            if source is scope:
+165                new_table = exp.alias_(exp.table_(name), alias=table.alias_or_name, copy=False)
+166                table.replace(new_table)
 167
-168def _new_cte(scope, existing_ctes, taken):
-169    """
-170    Returns:
-171        tuple of (name, cte)
-172        where `name` is a new name for this CTE in the root scope and `cte` is a new CTE instance.
-173        If this CTE duplicates an existing CTE, `cte` will be None.
-174    """
-175    duplicate_cte_alias = existing_ctes.get(scope.expression)
-176    parent = scope.expression.parent
-177    name = parent.alias
-178
-179    if not name:
-180        name = find_new_name(taken=taken, base="cte")
+168    return cte
+169
+170
+171def _new_cte(scope, existing_ctes, taken):
+172    """
+173    Returns:
+174        tuple of (name, cte)
+175        where `name` is a new name for this CTE in the root scope and `cte` is a new CTE instance.
+176        If this CTE duplicates an existing CTE, `cte` will be None.
+177    """
+178    duplicate_cte_alias = existing_ctes.get(scope.expression)
+179    parent = scope.expression.parent
+180    name = parent.alias
 181
-182    if duplicate_cte_alias:
-183        name = duplicate_cte_alias
-184    elif taken.get(name):
-185        name = find_new_name(taken=taken, base=name)
-186
-187    taken[name] = scope
-188
-189    if not duplicate_cte_alias:
-190        existing_ctes[scope.expression] = name
-191        cte = exp.CTE(
-192            this=scope.expression,
-193            alias=exp.TableAlias(this=exp.to_identifier(name)),
-194        )
-195    else:
-196        cte = None
-197    return name, cte
+182    if not name:
+183        name = find_new_name(taken=taken, base="cte")
+184
+185    if duplicate_cte_alias:
+186        name = duplicate_cte_alias
+187    elif taken.get(name):
+188        name = find_new_name(taken=taken, base=name)
+189
+190    taken[name] = scope
+191
+192    if not duplicate_cte_alias:
+193        existing_ctes[scope.expression] = name
+194        cte = exp.CTE(
+195            this=scope.expression,
+196            alias=exp.TableAlias(this=exp.to_identifier(name)),
+197        )
+198    else:
+199        cte = None
+200    return name, cte
 
    
 
 
@@ -295,63 +298,66 @@ 
    
 33
 34    root = build_scope(expression)
 35
-36    # Map of alias->Scope|Table
-37    # These are all aliases that are already used in the expression.
-38    # We don't want to create new CTEs that conflict with these names.
-39    taken = {}
-40
-41    # All CTE aliases in the root scope are taken
-42    for scope in root.cte_scopes:
-43        taken[scope.expression.parent.alias] = scope
-44
-45    # All table names are taken
-46    for scope in root.traverse():
-47        taken.update(
-48            {
-49                source.name: source
-50                for _, source in scope.sources.items()
-51                if isinstance(source, exp.Table)
-52            }
-53        )
-54
-55    # Map of Expression->alias
-56    # Existing CTES in the root expression. We'll use this for deduplication.
-57    existing_ctes = {}
-58
-59    with_ = root.expression.args.get("with")
-60    recursive = False
-61    if with_:
-62        recursive = with_.args.get("recursive")
-63        for cte in with_.expressions:
-64            existing_ctes[cte.this] = cte.alias
-65    new_ctes = []
-66
-67    # We're adding more CTEs, but we want to maintain the DAG order.
-68    # Derived tables within an existing CTE need to come before the existing CTE.
-69    for cte_scope in root.cte_scopes:
-70        # Append all the new CTEs from this existing CTE
-71        for scope in cte_scope.traverse():
-72            if scope is cte_scope:
-73                # Don't try to eliminate this CTE itself
-74                continue
-75            new_cte = _eliminate(scope, existing_ctes, taken)
-76            if new_cte:
-77                new_ctes.append(new_cte)
-78
-79        # Append the existing CTE itself
-80        new_ctes.append(cte_scope.expression.parent)
+36    if not root:
+37        return expression
+38
+39    # Map of alias->Scope|Table
+40    # These are all aliases that are already used in the expression.
+41    # We don't want to create new CTEs that conflict with these names.
+42    taken = {}
+43
+44    # All CTE aliases in the root scope are taken
+45    for scope in root.cte_scopes:
+46        taken[scope.expression.parent.alias] = scope
+47
+48    # All table names are taken
+49    for scope in root.traverse():
+50        taken.update(
+51            {
+52                source.name: source
+53                for _, source in scope.sources.items()
+54                if isinstance(source, exp.Table)
+55            }
+56        )
+57
+58    # Map of Expression->alias
+59    # Existing CTES in the root expression. We'll use this for deduplication.
+60    existing_ctes = {}
+61
+62    with_ = root.expression.args.get("with")
+63    recursive = False
+64    if with_:
+65        recursive = with_.args.get("recursive")
+66        for cte in with_.expressions:
+67            existing_ctes[cte.this] = cte.alias
+68    new_ctes = []
+69
+70    # We're adding more CTEs, but we want to maintain the DAG order.
+71    # Derived tables within an existing CTE need to come before the existing CTE.
+72    for cte_scope in root.cte_scopes:
+73        # Append all the new CTEs from this existing CTE
+74        for scope in cte_scope.traverse():
+75            if scope is cte_scope:
+76                # Don't try to eliminate this CTE itself
+77                continue
+78            new_cte = _eliminate(scope, existing_ctes, taken)
+79            if new_cte:
+80                new_ctes.append(new_cte)
 81
-82    # Now append the rest
-83    for scope in itertools.chain(root.union_scopes, root.subquery_scopes, root.table_scopes):
-84        for child_scope in scope.traverse():
-85            new_cte = _eliminate(child_scope, existing_ctes, taken)
-86            if new_cte:
-87                new_ctes.append(new_cte)
-88
-89    if new_ctes:
-90        expression.set("with", exp.With(expressions=new_ctes, recursive=recursive))
+82        # Append the existing CTE itself
+83        new_ctes.append(cte_scope.expression.parent)
+84
+85    # Now append the rest
+86    for scope in itertools.chain(root.union_scopes, root.subquery_scopes, root.table_scopes):
+87        for child_scope in scope.traverse():
+88            new_cte = _eliminate(child_scope, existing_ctes, taken)
+89            if new_cte:
+90                new_ctes.append(new_cte)
 91
-92    return expression
+92    if new_ctes:
+93        expression.set("with", exp.With(expressions=new_ctes, recursive=recursive))
+94
+95    return expression
 
    
 
 
diff --git a/docs/sqlglot/optimizer/optimizer.html b/docs/sqlglot/optimizer/optimizer.html
index f72be7e3b5..acc8630086 100644
--- a/docs/sqlglot/optimizer/optimizer.html
+++ b/docs/sqlglot/optimizer/optimizer.html
@@ -156,7 +156,7 @@ 
    
 
    
             
         def
-        optimize(	expression: str | sqlglot.expressions.Expression,	schema: Union[dict, sqlglot.schema.Schema, NoneType] = None,	db: Optional[str] = None,	catalog: Optional[str] = None,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	rules: Sequence[Callable] = (<function lower_identities at 0x7f07e306f9a0>, <function qualify_tables at 0x7f07e2fba170>, <function isolate_table_selects at 0x7f07e306f640>, <function qualify_columns at 0x7f07e2fb8f70>, <function pushdown_projections at 0x7f07e2fb9b40>, <function validate_qualify_columns at 0x7f07e2fb9000>, <function normalize at 0x7f07e306d900>, <function unnest_subqueries at 0x7f07e2fba200>, <function pushdown_predicates at 0x7f07e2fb8a60>, <function optimize_joins at 0x7f07e2fb8700>, <function eliminate_subqueries at 0x7f07e306f5b0>, <function merge_subqueries at 0x7f07e306fc70>, <function eliminate_joins at 0x7f07e306d6c0>, <function eliminate_ctes at 0x7f07e306d5a0>, <function annotate_types at 0x7f07e2fc5cf0>, <function canonicalize at 0x7f07e306d000>, <function simplify at 0x7f07e306dab0>),	**kwargs):
+        optimize(	expression: str | sqlglot.expressions.Expression,	schema: Union[dict, sqlglot.schema.Schema, NoneType] = None,	db: Optional[str] = None,	catalog: Optional[str] = None,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,	rules: Sequence[Callable] = (<function lower_identities at 0x7f4773a8b6d0>, <function qualify_tables at 0x7f4773a65d80>, <function isolate_table_selects at 0x7f4773a8b370>, <function qualify_columns at 0x7f4773a64c10>, <function pushdown_projections at 0x7f4773a65750>, <function validate_qualify_columns at 0x7f4773a64ca0>, <function normalize at 0x7f4773a89630>, <function unnest_subqueries at 0x7f4773a65e10>, <function pushdown_predicates at 0x7f4773a64700>, <function optimize_joins at 0x7f4773a643a0>, <function eliminate_subqueries at 0x7f4773a8b2e0>, <function merge_subqueries at 0x7f4773a8b9a0>, <function eliminate_joins at 0x7f4773a893f0>, <function eliminate_ctes at 0x7f4773a892d0>, <function annotate_types at 0x7f4773ab9a20>, <function canonicalize at 0x7f4773a88d30>, <function simplify at 0x7f4773a897e0>),	**kwargs):
 
                 
 
diff --git a/docs/sqlglot/optimizer/pushdown_predicates.html b/docs/sqlglot/optimizer/pushdown_predicates.html
index 48701766c8..67fac86919 100644
--- a/docs/sqlglot/optimizer/pushdown_predicates.html
+++ b/docs/sqlglot/optimizer/pushdown_predicates.html
@@ -94,180 +94,182 @@ 
    
  21        sqlglot.Expression: optimized expression
  22    """
  23    root = build_scope(expression)
- 24    scope_ref_count = root.ref_count()
- 25
- 26    for scope in reversed(list(root.traverse())):
- 27        select = scope.expression
- 28        where = select.args.get("where")
- 29        if where:
- 30            selected_sources = scope.selected_sources
- 31            # a right join can only push down to itself and not the source FROM table
- 32            for k, (node, source) in selected_sources.items():
- 33                parent = node.find_ancestor(exp.Join, exp.From)
- 34                if isinstance(parent, exp.Join) and parent.side == "RIGHT":
- 35                    selected_sources = {k: (node, source)}
- 36                    break
- 37            pushdown(where.this, selected_sources, scope_ref_count)
- 38
- 39        # joins should only pushdown into itself, not to other joins
- 40        # so we limit the selected sources to only itself
- 41        for join in select.args.get("joins") or []:
- 42            name = join.this.alias_or_name
- 43            pushdown(join.args.get("on"), {name: scope.selected_sources[name]}, scope_ref_count)
- 44
- 45    return expression
+ 24
+ 25    if root:
+ 26        scope_ref_count = root.ref_count()
+ 27
+ 28        for scope in reversed(list(root.traverse())):
+ 29            select = scope.expression
+ 30            where = select.args.get("where")
+ 31            if where:
+ 32                selected_sources = scope.selected_sources
+ 33                # a right join can only push down to itself and not the source FROM table
+ 34                for k, (node, source) in selected_sources.items():
+ 35                    parent = node.find_ancestor(exp.Join, exp.From)
+ 36                    if isinstance(parent, exp.Join) and parent.side == "RIGHT":
+ 37                        selected_sources = {k: (node, source)}
+ 38                        break
+ 39                pushdown(where.this, selected_sources, scope_ref_count)
+ 40
+ 41            # joins should only pushdown into itself, not to other joins
+ 42            # so we limit the selected sources to only itself
+ 43            for join in select.args.get("joins") or []:
+ 44                name = join.this.alias_or_name
+ 45                pushdown(join.args.get("on"), {name: scope.selected_sources[name]}, scope_ref_count)
  46
- 47
- 48def pushdown(condition, sources, scope_ref_count):
- 49    if not condition:
- 50        return
- 51
- 52    condition = condition.replace(simplify(condition))
- 53    cnf_like = normalized(condition) or not normalized(condition, dnf=True)
- 54
- 55    predicates = list(
- 56        condition.flatten()
- 57        if isinstance(condition, exp.And if cnf_like else exp.Or)
- 58        else [condition]
- 59    )
- 60
- 61    if cnf_like:
- 62        pushdown_cnf(predicates, sources, scope_ref_count)
- 63    else:
- 64        pushdown_dnf(predicates, sources, scope_ref_count)
- 65
- 66
- 67def pushdown_cnf(predicates, scope, scope_ref_count):
- 68    """
- 69    If the predicates are in CNF like form, we can simply replace each block in the parent.
- 70    """
- 71    for predicate in predicates:
- 72        for node in nodes_for_predicate(predicate, scope, scope_ref_count).values():
- 73            if isinstance(node, exp.Join):
- 74                predicate.replace(exp.true())
- 75                node.on(predicate, copy=False)
- 76                break
- 77            if isinstance(node, exp.Select):
- 78                predicate.replace(exp.true())
- 79                node.where(replace_aliases(node, predicate), copy=False)
- 80
- 81
- 82def pushdown_dnf(predicates, scope, scope_ref_count):
- 83    """
- 84    If the predicates are in DNF form, we can only push down conditions that are in all blocks.
- 85    Additionally, we can't remove predicates from their original form.
- 86    """
- 87    # find all the tables that can be pushdown too
- 88    # these are tables that are referenced in all blocks of a DNF
- 89    # (a.x AND b.x) OR (a.y AND c.y)
- 90    # only table a can be push down
- 91    pushdown_tables = set()
- 92
- 93    for a in predicates:
- 94        a_tables = set(exp.column_table_names(a))
- 95
- 96        for b in predicates:
- 97            a_tables &= set(exp.column_table_names(b))
- 98
- 99        pushdown_tables.update(a_tables)
+ 47    return expression
+ 48
+ 49
+ 50def pushdown(condition, sources, scope_ref_count):
+ 51    if not condition:
+ 52        return
+ 53
+ 54    condition = condition.replace(simplify(condition))
+ 55    cnf_like = normalized(condition) or not normalized(condition, dnf=True)
+ 56
+ 57    predicates = list(
+ 58        condition.flatten()
+ 59        if isinstance(condition, exp.And if cnf_like else exp.Or)
+ 60        else [condition]
+ 61    )
+ 62
+ 63    if cnf_like:
+ 64        pushdown_cnf(predicates, sources, scope_ref_count)
+ 65    else:
+ 66        pushdown_dnf(predicates, sources, scope_ref_count)
+ 67
+ 68
+ 69def pushdown_cnf(predicates, scope, scope_ref_count):
+ 70    """
+ 71    If the predicates are in CNF like form, we can simply replace each block in the parent.
+ 72    """
+ 73    for predicate in predicates:
+ 74        for node in nodes_for_predicate(predicate, scope, scope_ref_count).values():
+ 75            if isinstance(node, exp.Join):
+ 76                predicate.replace(exp.true())
+ 77                node.on(predicate, copy=False)
+ 78                break
+ 79            if isinstance(node, exp.Select):
+ 80                predicate.replace(exp.true())
+ 81                node.where(replace_aliases(node, predicate), copy=False)
+ 82
+ 83
+ 84def pushdown_dnf(predicates, scope, scope_ref_count):
+ 85    """
+ 86    If the predicates are in DNF form, we can only push down conditions that are in all blocks.
+ 87    Additionally, we can't remove predicates from their original form.
+ 88    """
+ 89    # find all the tables that can be pushdown too
+ 90    # these are tables that are referenced in all blocks of a DNF
+ 91    # (a.x AND b.x) OR (a.y AND c.y)
+ 92    # only table a can be push down
+ 93    pushdown_tables = set()
+ 94
+ 95    for a in predicates:
+ 96        a_tables = set(exp.column_table_names(a))
+ 97
+ 98        for b in predicates:
+ 99            a_tables &= set(exp.column_table_names(b))
 100
-101    conditions = {}
+101        pushdown_tables.update(a_tables)
 102
-103    # for every pushdown table, find all related conditions in all predicates
-104    # combine them with ORS
-105    # (a.x AND and a.y AND b.x) OR (a.z AND c.y) -> (a.x AND a.y) OR (a.z)
-106    for table in sorted(pushdown_tables):
-107        for predicate in predicates:
-108            nodes = nodes_for_predicate(predicate, scope, scope_ref_count)
-109
-110            if table not in nodes:
-111                continue
-112
-113            predicate_condition = None
+103    conditions = {}
+104
+105    # for every pushdown table, find all related conditions in all predicates
+106    # combine them with ORS
+107    # (a.x AND and a.y AND b.x) OR (a.z AND c.y) -> (a.x AND a.y) OR (a.z)
+108    for table in sorted(pushdown_tables):
+109        for predicate in predicates:
+110            nodes = nodes_for_predicate(predicate, scope, scope_ref_count)
+111
+112            if table not in nodes:
+113                continue
 114
-115            for column in predicate.find_all(exp.Column):
-116                if column.table == table:
-117                    condition = column.find_ancestor(exp.Condition)
-118                    predicate_condition = (
-119                        exp.and_(predicate_condition, condition)
-120                        if predicate_condition
-121                        else condition
-122                    )
-123
-124            if predicate_condition:
-125                conditions[table] = (
-126                    exp.or_(conditions[table], predicate_condition)
-127                    if table in conditions
-128                    else predicate_condition
-129                )
-130
-131        for name, node in nodes.items():
-132            if name not in conditions:
-133                continue
-134
-135            predicate = conditions[name]
+115            predicate_condition = None
+116
+117            for column in predicate.find_all(exp.Column):
+118                if column.table == table:
+119                    condition = column.find_ancestor(exp.Condition)
+120                    predicate_condition = (
+121                        exp.and_(predicate_condition, condition)
+122                        if predicate_condition
+123                        else condition
+124                    )
+125
+126            if predicate_condition:
+127                conditions[table] = (
+128                    exp.or_(conditions[table], predicate_condition)
+129                    if table in conditions
+130                    else predicate_condition
+131                )
+132
+133        for name, node in nodes.items():
+134            if name not in conditions:
+135                continue
 136
-137            if isinstance(node, exp.Join):
-138                node.on(predicate, copy=False)
-139            elif isinstance(node, exp.Select):
-140                node.where(replace_aliases(node, predicate), copy=False)
-141
-142
-143def nodes_for_predicate(predicate, sources, scope_ref_count):
-144    nodes = {}
-145    tables = exp.column_table_names(predicate)
-146    where_condition = isinstance(predicate.find_ancestor(exp.Join, exp.Where), exp.Where)
-147
-148    for table in tables:
-149        node, source = sources.get(table) or (None, None)
-150
-151        # if the predicate is in a where statement we can try to push it down
-152        # we want to find the root join or from statement
-153        if node and where_condition:
-154            node = node.find_ancestor(exp.Join, exp.From)
-155
-156        # a node can reference a CTE which should be pushed down
-157        if isinstance(node, exp.From) and not isinstance(source, exp.Table):
-158            with_ = source.parent.expression.args.get("with")
-159            if with_ and with_.recursive:
-160                return {}
-161            node = source.expression
-162
-163        if isinstance(node, exp.Join):
-164            if node.side and node.side != "RIGHT":
-165                return {}
-166            nodes[table] = node
-167        elif isinstance(node, exp.Select) and len(tables) == 1:
-168            # We can't push down window expressions
-169            has_window_expression = any(
-170                select for select in node.selects if select.find(exp.Window)
-171            )
-172            # we can't push down predicates to select statements if they are referenced in
-173            # multiple places.
-174            if (
-175                not node.args.get("group")
-176                and scope_ref_count[id(source)] < 2
-177                and not has_window_expression
-178            ):
-179                nodes[table] = node
-180    return nodes
-181
-182
-183def replace_aliases(source, predicate):
-184    aliases = {}
-185
-186    for select in source.selects:
-187        if isinstance(select, exp.Alias):
-188            aliases[select.alias] = select.this
-189        else:
-190            aliases[select.name] = select
-191
-192    def _replace_alias(column):
-193        if isinstance(column, exp.Column) and column.name in aliases:
-194            return aliases[column.name].copy()
-195        return column
-196
-197    return predicate.transform(_replace_alias)
+137            predicate = conditions[name]
+138
+139            if isinstance(node, exp.Join):
+140                node.on(predicate, copy=False)
+141            elif isinstance(node, exp.Select):
+142                node.where(replace_aliases(node, predicate), copy=False)
+143
+144
+145def nodes_for_predicate(predicate, sources, scope_ref_count):
+146    nodes = {}
+147    tables = exp.column_table_names(predicate)
+148    where_condition = isinstance(predicate.find_ancestor(exp.Join, exp.Where), exp.Where)
+149
+150    for table in tables:
+151        node, source = sources.get(table) or (None, None)
+152
+153        # if the predicate is in a where statement we can try to push it down
+154        # we want to find the root join or from statement
+155        if node and where_condition:
+156            node = node.find_ancestor(exp.Join, exp.From)
+157
+158        # a node can reference a CTE which should be pushed down
+159        if isinstance(node, exp.From) and not isinstance(source, exp.Table):
+160            with_ = source.parent.expression.args.get("with")
+161            if with_ and with_.recursive:
+162                return {}
+163            node = source.expression
+164
+165        if isinstance(node, exp.Join):
+166            if node.side and node.side != "RIGHT":
+167                return {}
+168            nodes[table] = node
+169        elif isinstance(node, exp.Select) and len(tables) == 1:
+170            # We can't push down window expressions
+171            has_window_expression = any(
+172                select for select in node.selects if select.find(exp.Window)
+173            )
+174            # we can't push down predicates to select statements if they are referenced in
+175            # multiple places.
+176            if (
+177                not node.args.get("group")
+178                and scope_ref_count[id(source)] < 2
+179                and not has_window_expression
+180            ):
+181                nodes[table] = node
+182    return nodes
+183
+184
+185def replace_aliases(source, predicate):
+186    aliases = {}
+187
+188    for select in source.selects:
+189        if isinstance(select, exp.Alias):
+190            aliases[select.alias] = select.this
+191        else:
+192            aliases[select.name] = select
+193
+194    def _replace_alias(column):
+195        if isinstance(column, exp.Column) and column.name in aliases:
+196            return aliases[column.name].copy()
+197        return column
+198
+199    return predicate.transform(_replace_alias)
 
    
 
 
@@ -300,28 +302,30 @@ 
    
 22        sqlglot.Expression: optimized expression
 23    """
 24    root = build_scope(expression)
-25    scope_ref_count = root.ref_count()
-26
-27    for scope in reversed(list(root.traverse())):
-28        select = scope.expression
-29        where = select.args.get("where")
-30        if where:
-31            selected_sources = scope.selected_sources
-32            # a right join can only push down to itself and not the source FROM table
-33            for k, (node, source) in selected_sources.items():
-34                parent = node.find_ancestor(exp.Join, exp.From)
-35                if isinstance(parent, exp.Join) and parent.side == "RIGHT":
-36                    selected_sources = {k: (node, source)}
-37                    break
-38            pushdown(where.this, selected_sources, scope_ref_count)
-39
-40        # joins should only pushdown into itself, not to other joins
-41        # so we limit the selected sources to only itself
-42        for join in select.args.get("joins") or []:
-43            name = join.this.alias_or_name
-44            pushdown(join.args.get("on"), {name: scope.selected_sources[name]}, scope_ref_count)
-45
-46    return expression
+25
+26    if root:
+27        scope_ref_count = root.ref_count()
+28
+29        for scope in reversed(list(root.traverse())):
+30            select = scope.expression
+31            where = select.args.get("where")
+32            if where:
+33                selected_sources = scope.selected_sources
+34                # a right join can only push down to itself and not the source FROM table
+35                for k, (node, source) in selected_sources.items():
+36                    parent = node.find_ancestor(exp.Join, exp.From)
+37                    if isinstance(parent, exp.Join) and parent.side == "RIGHT":
+38                        selected_sources = {k: (node, source)}
+39                        break
+40                pushdown(where.this, selected_sources, scope_ref_count)
+41
+42            # joins should only pushdown into itself, not to other joins
+43            # so we limit the selected sources to only itself
+44            for join in select.args.get("joins") or []:
+45                name = join.this.alias_or_name
+46                pushdown(join.args.get("on"), {name: scope.selected_sources[name]}, scope_ref_count)
+47
+48    return expression
 
    
 
 
@@ -366,23 +370,23 @@ 
    Returns:
    
 
     
    
     
-            
    49def pushdown(condition, sources, scope_ref_count):
-50    if not condition:
-51        return
-52
-53    condition = condition.replace(simplify(condition))
-54    cnf_like = normalized(condition) or not normalized(condition, dnf=True)
-55
-56    predicates = list(
-57        condition.flatten()
-58        if isinstance(condition, exp.And if cnf_like else exp.Or)
-59        else [condition]
-60    )
-61
-62    if cnf_like:
-63        pushdown_cnf(predicates, sources, scope_ref_count)
-64    else:
-65        pushdown_dnf(predicates, sources, scope_ref_count)
+            
    51def pushdown(condition, sources, scope_ref_count):
+52    if not condition:
+53        return
+54
+55    condition = condition.replace(simplify(condition))
+56    cnf_like = normalized(condition) or not normalized(condition, dnf=True)
+57
+58    predicates = list(
+59        condition.flatten()
+60        if isinstance(condition, exp.And if cnf_like else exp.Or)
+61        else [condition]
+62    )
+63
+64    if cnf_like:
+65        pushdown_cnf(predicates, sources, scope_ref_count)
+66    else:
+67        pushdown_dnf(predicates, sources, scope_ref_count)
 
    
 
 
@@ -400,19 +404,19 @@ 
    Returns:
    
 
     
    
     
-            
    68def pushdown_cnf(predicates, scope, scope_ref_count):
-69    """
-70    If the predicates are in CNF like form, we can simply replace each block in the parent.
-71    """
-72    for predicate in predicates:
-73        for node in nodes_for_predicate(predicate, scope, scope_ref_count).values():
-74            if isinstance(node, exp.Join):
-75                predicate.replace(exp.true())
-76                node.on(predicate, copy=False)
-77                break
-78            if isinstance(node, exp.Select):
-79                predicate.replace(exp.true())
-80                node.where(replace_aliases(node, predicate), copy=False)
+            
    70def pushdown_cnf(predicates, scope, scope_ref_count):
+71    """
+72    If the predicates are in CNF like form, we can simply replace each block in the parent.
+73    """
+74    for predicate in predicates:
+75        for node in nodes_for_predicate(predicate, scope, scope_ref_count).values():
+76            if isinstance(node, exp.Join):
+77                predicate.replace(exp.true())
+78                node.on(predicate, copy=False)
+79                break
+80            if isinstance(node, exp.Select):
+81                predicate.replace(exp.true())
+82                node.where(replace_aliases(node, predicate), copy=False)
 
    
 
 
@@ -432,65 +436,65 @@ 
    Returns:
    
 
     
    
     
-            
     83def pushdown_dnf(predicates, scope, scope_ref_count):
- 84    """
- 85    If the predicates are in DNF form, we can only push down conditions that are in all blocks.
- 86    Additionally, we can't remove predicates from their original form.
- 87    """
- 88    # find all the tables that can be pushdown too
- 89    # these are tables that are referenced in all blocks of a DNF
- 90    # (a.x AND b.x) OR (a.y AND c.y)
- 91    # only table a can be push down
- 92    pushdown_tables = set()
- 93
- 94    for a in predicates:
- 95        a_tables = set(exp.column_table_names(a))
- 96
- 97        for b in predicates:
- 98            a_tables &= set(exp.column_table_names(b))
- 99
-100        pushdown_tables.update(a_tables)
+            
     85def pushdown_dnf(predicates, scope, scope_ref_count):
+ 86    """
+ 87    If the predicates are in DNF form, we can only push down conditions that are in all blocks.
+ 88    Additionally, we can't remove predicates from their original form.
+ 89    """
+ 90    # find all the tables that can be pushdown too
+ 91    # these are tables that are referenced in all blocks of a DNF
+ 92    # (a.x AND b.x) OR (a.y AND c.y)
+ 93    # only table a can be push down
+ 94    pushdown_tables = set()
+ 95
+ 96    for a in predicates:
+ 97        a_tables = set(exp.column_table_names(a))
+ 98
+ 99        for b in predicates:
+100            a_tables &= set(exp.column_table_names(b))
 101
-102    conditions = {}
+102        pushdown_tables.update(a_tables)
 103
-104    # for every pushdown table, find all related conditions in all predicates
-105    # combine them with ORS
-106    # (a.x AND and a.y AND b.x) OR (a.z AND c.y) -> (a.x AND a.y) OR (a.z)
-107    for table in sorted(pushdown_tables):
-108        for predicate in predicates:
-109            nodes = nodes_for_predicate(predicate, scope, scope_ref_count)
-110
-111            if table not in nodes:
-112                continue
-113
-114            predicate_condition = None
+104    conditions = {}
+105
+106    # for every pushdown table, find all related conditions in all predicates
+107    # combine them with ORS
+108    # (a.x AND and a.y AND b.x) OR (a.z AND c.y) -> (a.x AND a.y) OR (a.z)
+109    for table in sorted(pushdown_tables):
+110        for predicate in predicates:
+111            nodes = nodes_for_predicate(predicate, scope, scope_ref_count)
+112
+113            if table not in nodes:
+114                continue
 115
-116            for column in predicate.find_all(exp.Column):
-117                if column.table == table:
-118                    condition = column.find_ancestor(exp.Condition)
-119                    predicate_condition = (
-120                        exp.and_(predicate_condition, condition)
-121                        if predicate_condition
-122                        else condition
-123                    )
-124
-125            if predicate_condition:
-126                conditions[table] = (
-127                    exp.or_(conditions[table], predicate_condition)
-128                    if table in conditions
-129                    else predicate_condition
-130                )
-131
-132        for name, node in nodes.items():
-133            if name not in conditions:
-134                continue
-135
-136            predicate = conditions[name]
+116            predicate_condition = None
+117
+118            for column in predicate.find_all(exp.Column):
+119                if column.table == table:
+120                    condition = column.find_ancestor(exp.Condition)
+121                    predicate_condition = (
+122                        exp.and_(predicate_condition, condition)
+123                        if predicate_condition
+124                        else condition
+125                    )
+126
+127            if predicate_condition:
+128                conditions[table] = (
+129                    exp.or_(conditions[table], predicate_condition)
+130                    if table in conditions
+131                    else predicate_condition
+132                )
+133
+134        for name, node in nodes.items():
+135            if name not in conditions:
+136                continue
 137
-138            if isinstance(node, exp.Join):
-139                node.on(predicate, copy=False)
-140            elif isinstance(node, exp.Select):
-141                node.where(replace_aliases(node, predicate), copy=False)
+138            predicate = conditions[name]
+139
+140            if isinstance(node, exp.Join):
+141                node.on(predicate, copy=False)
+142            elif isinstance(node, exp.Select):
+143                node.where(replace_aliases(node, predicate), copy=False)
 
    
 
 
@@ -511,44 +515,44 @@ 
    Returns:
    
 
     
    
     
-            
    144def nodes_for_predicate(predicate, sources, scope_ref_count):
-145    nodes = {}
-146    tables = exp.column_table_names(predicate)
-147    where_condition = isinstance(predicate.find_ancestor(exp.Join, exp.Where), exp.Where)
-148
-149    for table in tables:
-150        node, source = sources.get(table) or (None, None)
-151
-152        # if the predicate is in a where statement we can try to push it down
-153        # we want to find the root join or from statement
-154        if node and where_condition:
-155            node = node.find_ancestor(exp.Join, exp.From)
-156
-157        # a node can reference a CTE which should be pushed down
-158        if isinstance(node, exp.From) and not isinstance(source, exp.Table):
-159            with_ = source.parent.expression.args.get("with")
-160            if with_ and with_.recursive:
-161                return {}
-162            node = source.expression
-163
-164        if isinstance(node, exp.Join):
-165            if node.side and node.side != "RIGHT":
-166                return {}
-167            nodes[table] = node
-168        elif isinstance(node, exp.Select) and len(tables) == 1:
-169            # We can't push down window expressions
-170            has_window_expression = any(
-171                select for select in node.selects if select.find(exp.Window)
-172            )
-173            # we can't push down predicates to select statements if they are referenced in
-174            # multiple places.
-175            if (
-176                not node.args.get("group")
-177                and scope_ref_count[id(source)] < 2
-178                and not has_window_expression
-179            ):
-180                nodes[table] = node
-181    return nodes
+            
    146def nodes_for_predicate(predicate, sources, scope_ref_count):
+147    nodes = {}
+148    tables = exp.column_table_names(predicate)
+149    where_condition = isinstance(predicate.find_ancestor(exp.Join, exp.Where), exp.Where)
+150
+151    for table in tables:
+152        node, source = sources.get(table) or (None, None)
+153
+154        # if the predicate is in a where statement we can try to push it down
+155        # we want to find the root join or from statement
+156        if node and where_condition:
+157            node = node.find_ancestor(exp.Join, exp.From)
+158
+159        # a node can reference a CTE which should be pushed down
+160        if isinstance(node, exp.From) and not isinstance(source, exp.Table):
+161            with_ = source.parent.expression.args.get("with")
+162            if with_ and with_.recursive:
+163                return {}
+164            node = source.expression
+165
+166        if isinstance(node, exp.Join):
+167            if node.side and node.side != "RIGHT":
+168                return {}
+169            nodes[table] = node
+170        elif isinstance(node, exp.Select) and len(tables) == 1:
+171            # We can't push down window expressions
+172            has_window_expression = any(
+173                select for select in node.selects if select.find(exp.Window)
+174            )
+175            # we can't push down predicates to select statements if they are referenced in
+176            # multiple places.
+177            if (
+178                not node.args.get("group")
+179                and scope_ref_count[id(source)] < 2
+180                and not has_window_expression
+181            ):
+182                nodes[table] = node
+183    return nodes
 
    
 
 
@@ -566,21 +570,21 @@ 
    Returns:
    
 
     
    
     
-            
    184def replace_aliases(source, predicate):
-185    aliases = {}
-186
-187    for select in source.selects:
-188        if isinstance(select, exp.Alias):
-189            aliases[select.alias] = select.this
-190        else:
-191            aliases[select.name] = select
-192
-193    def _replace_alias(column):
-194        if isinstance(column, exp.Column) and column.name in aliases:
-195            return aliases[column.name].copy()
-196        return column
-197
-198    return predicate.transform(_replace_alias)
+            
    186def replace_aliases(source, predicate):
+187    aliases = {}
+188
+189    for select in source.selects:
+190        if isinstance(select, exp.Alias):
+191            aliases[select.alias] = select.this
+192        else:
+193            aliases[select.name] = select
+194
+195    def _replace_alias(column):
+196        if isinstance(column, exp.Column) and column.name in aliases:
+197            return aliases[column.name].copy()
+198        return column
+199
+200    return predicate.transform(_replace_alias)
 
    
 
 
diff --git a/docs/sqlglot/optimizer/scope.html b/docs/sqlglot/optimizer/scope.html
index 07769d6ddb..15605b3443 100644
--- a/docs/sqlglot/optimizer/scope.html
+++ b/docs/sqlglot/optimizer/scope.html
@@ -189,708 +189,714 @@ 
    
                         
 
                         
      1import itertools
-  2from collections import defaultdict
-  3from enum import Enum, auto
-  4
-  5from sqlglot import exp
-  6from sqlglot.errors import OptimizeError
-  7from sqlglot.helper import find_new_name
-  8
+  2import typing as t
+  3from collections import defaultdict
+  4from enum import Enum, auto
+  5
+  6from sqlglot import exp
+  7from sqlglot.errors import OptimizeError
+  8from sqlglot.helper import find_new_name
   9
- 10class ScopeType(Enum):
- 11    ROOT = auto()
- 12    SUBQUERY = auto()
- 13    DERIVED_TABLE = auto()
- 14    CTE = auto()
- 15    UNION = auto()
- 16    UDTF = auto()
- 17
+ 10
+ 11class ScopeType(Enum):
+ 12    ROOT = auto()
+ 13    SUBQUERY = auto()
+ 14    DERIVED_TABLE = auto()
+ 15    CTE = auto()
+ 16    UNION = auto()
+ 17    UDTF = auto()
  18
- 19class Scope:
- 20    """
- 21    Selection scope.
- 22
- 23    Attributes:
- 24        expression (exp.Select|exp.Union): Root expression of this scope
- 25        sources (dict[str, exp.Table|Scope]): Mapping of source name to either
- 26            a Table expression or another Scope instance. For example:
- 27                SELECT * FROM x                     {"x": Table(this="x")}
- 28                SELECT * FROM x AS y                {"y": Table(this="x")}
- 29                SELECT * FROM (SELECT ...) AS y     {"y": Scope(...)}
- 30        lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals
- 31            For example:
- 32                SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;
- 33            The LATERAL VIEW EXPLODE gets x as a source.
- 34        outer_column_list (list[str]): If this is a derived table or CTE, and the outer query
- 35            defines a column list of it's alias of this scope, this is that list of columns.
- 36            For example:
- 37                SELECT * FROM (SELECT ...) AS y(col1, col2)
- 38            The inner query would have `["col1", "col2"]` for its `outer_column_list`
- 39        parent (Scope): Parent scope
- 40        scope_type (ScopeType): Type of this scope, relative to it's parent
- 41        subquery_scopes (list[Scope]): List of all child scopes for subqueries
- 42        cte_scopes (list[Scope]): List of all child scopes for CTEs
- 43        derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
- 44        udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
- 45        table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
- 46        union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be
- 47            a list of the left and right child scopes.
- 48    """
- 49
- 50    def __init__(
- 51        self,
- 52        expression,
- 53        sources=None,
- 54        outer_column_list=None,
- 55        parent=None,
- 56        scope_type=ScopeType.ROOT,
- 57        lateral_sources=None,
- 58    ):
- 59        self.expression = expression
- 60        self.sources = sources or {}
- 61        self.lateral_sources = lateral_sources.copy() if lateral_sources else {}
- 62        self.sources.update(self.lateral_sources)
- 63        self.outer_column_list = outer_column_list or []
- 64        self.parent = parent
- 65        self.scope_type = scope_type
- 66        self.subquery_scopes = []
- 67        self.derived_table_scopes = []
- 68        self.table_scopes = []
- 69        self.cte_scopes = []
- 70        self.union_scopes = []
- 71        self.udtf_scopes = []
- 72        self.clear_cache()
- 73
- 74    def clear_cache(self):
- 75        self._collected = False
- 76        self._raw_columns = None
- 77        self._derived_tables = None
- 78        self._udtfs = None
- 79        self._tables = None
- 80        self._ctes = None
- 81        self._subqueries = None
- 82        self._selected_sources = None
- 83        self._columns = None
- 84        self._external_columns = None
- 85        self._join_hints = None
- 86        self._pivots = None
- 87
- 88    def branch(self, expression, scope_type, chain_sources=None, **kwargs):
- 89        """Branch from the current scope to a new, inner scope"""
- 90        return Scope(
- 91            expression=expression.unnest(),
- 92            sources={**self.cte_sources, **(chain_sources or {})},
- 93            parent=self,
- 94            scope_type=scope_type,
- 95            **kwargs,
- 96        )
- 97
- 98    def _collect(self):
- 99        self._tables = []
-100        self._ctes = []
-101        self._subqueries = []
-102        self._derived_tables = []
-103        self._udtfs = []
-104        self._raw_columns = []
-105        self._join_hints = []
-106
-107        for node, parent, _ in self.walk(bfs=False):
-108            if node is self.expression:
-109                continue
-110            elif isinstance(node, exp.Column) and not isinstance(node.this, exp.Star):
-111                self._raw_columns.append(node)
-112            elif isinstance(node, exp.Table) and not isinstance(node.parent, exp.JoinHint):
-113                self._tables.append(node)
-114            elif isinstance(node, exp.JoinHint):
-115                self._join_hints.append(node)
-116            elif isinstance(node, exp.UDTF):
-117                self._udtfs.append(node)
-118            elif isinstance(node, exp.CTE):
-119                self._ctes.append(node)
-120            elif isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)):
-121                self._derived_tables.append(node)
-122            elif isinstance(node, exp.Subqueryable):
-123                self._subqueries.append(node)
-124
-125        self._collected = True
-126
-127    def _ensure_collected(self):
-128        if not self._collected:
-129            self._collect()
-130
-131    def walk(self, bfs=True):
-132        return walk_in_scope(self.expression, bfs=bfs)
-133
-134    def find(self, *expression_types, bfs=True):
-135        """
-136        Returns the first node in this scope which matches at least one of the specified types.
-137
-138        This does NOT traverse into subscopes.
-139
-140        Args:
-141            expression_types (type): the expression type(s) to match.
-142            bfs (bool): True to use breadth-first search, False to use depth-first.
-143
-144        Returns:
-145            exp.Expression: the node which matches the criteria or None if no node matching
-146            the criteria was found.
-147        """
-148        return next(self.find_all(*expression_types, bfs=bfs), None)
-149
-150    def find_all(self, *expression_types, bfs=True):
-151        """
-152        Returns a generator object which visits all nodes in this scope and only yields those that
-153        match at least one of the specified expression types.
-154
-155        This does NOT traverse into subscopes.
-156
-157        Args:
-158            expression_types (type): the expression type(s) to match.
-159            bfs (bool): True to use breadth-first search, False to use depth-first.
-160
-161        Yields:
-162            exp.Expression: nodes
-163        """
-164        for expression, *_ in self.walk(bfs=bfs):
-165            if isinstance(expression, expression_types):
-166                yield expression
-167
-168    def replace(self, old, new):
-169        """
-170        Replace `old` with `new`.
-171
-172        This can be used instead of `exp.Expression.replace` to ensure the `Scope` is kept up-to-date.
-173
-174        Args:
-175            old (exp.Expression): old node
-176            new (exp.Expression): new node
-177        """
-178        old.replace(new)
-179        self.clear_cache()
-180
-181    @property
-182    def tables(self):
-183        """
-184        List of tables in this scope.
-185
-186        Returns:
-187            list[exp.Table]: tables
-188        """
-189        self._ensure_collected()
-190        return self._tables
-191
-192    @property
-193    def ctes(self):
-194        """
-195        List of CTEs in this scope.
-196
-197        Returns:
-198            list[exp.CTE]: ctes
-199        """
-200        self._ensure_collected()
-201        return self._ctes
-202
-203    @property
-204    def derived_tables(self):
-205        """
-206        List of derived tables in this scope.
-207
-208        For example:
-209            SELECT * FROM (SELECT ...) <- that's a derived table
-210
-211        Returns:
-212            list[exp.Subquery]: derived tables
-213        """
-214        self._ensure_collected()
-215        return self._derived_tables
-216
-217    @property
-218    def udtfs(self):
-219        """
-220        List of "User Defined Tabular Functions" in this scope.
-221
-222        Returns:
-223            list[exp.UDTF]: UDTFs
-224        """
-225        self._ensure_collected()
-226        return self._udtfs
-227
-228    @property
-229    def subqueries(self):
-230        """
-231        List of subqueries in this scope.
-232
-233        For example:
-234            SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery
-235
-236        Returns:
-237            list[exp.Subqueryable]: subqueries
-238        """
-239        self._ensure_collected()
-240        return self._subqueries
-241
-242    @property
-243    def columns(self):
-244        """
-245        List of columns in this scope.
-246
-247        Returns:
-248            list[exp.Column]: Column instances in this scope, plus any
-249                Columns that reference this scope from correlated subqueries.
-250        """
-251        if self._columns is None:
-252            self._ensure_collected()
-253            columns = self._raw_columns
-254
-255            external_columns = [
-256                column
-257                for scope in itertools.chain(self.subquery_scopes, self.udtf_scopes)
-258                for column in scope.external_columns
-259            ]
-260
-261            named_selects = set(self.expression.named_selects)
-262
-263            self._columns = []
-264            for column in columns + external_columns:
-265                ancestor = column.find_ancestor(
-266                    exp.Select, exp.Qualify, exp.Order, exp.Having, exp.Hint
-267                )
-268                if (
-269                    not ancestor
-270                    or column.table
-271                    or isinstance(ancestor, exp.Select)
-272                    or (isinstance(ancestor, exp.Order) and isinstance(ancestor.parent, exp.Window))
-273                    or (column.name not in named_selects and not isinstance(ancestor, exp.Hint))
-274                ):
-275                    self._columns.append(column)
-276
-277        return self._columns
-278
-279    @property
-280    def selected_sources(self):
-281        """
-282        Mapping of nodes and sources that are actually selected from in this scope.
-283
-284        That is, all tables in a schema are selectable at any point. But a
-285        table only becomes a selected source if it's included in a FROM or JOIN clause.
-286
-287        Returns:
-288            dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes
-289        """
-290        if self._selected_sources is None:
-291            referenced_names = []
-292
-293            for table in self.tables:
-294                referenced_names.append((table.alias_or_name, table))
-295            for expression in itertools.chain(self.derived_tables, self.udtfs):
-296                referenced_names.append((expression.alias, expression.unnest()))
-297            result = {}
-298
-299            for name, node in referenced_names:
-300                if name in result:
-301                    raise OptimizeError(f"Alias already used: {name}")
-302                if name in self.sources:
-303                    result[name] = (node, self.sources[name])
-304
-305            self._selected_sources = result
-306        return self._selected_sources
-307
-308    @property
-309    def cte_sources(self):
-310        """
-311        Sources that are CTEs.
-312
-313        Returns:
-314            dict[str, Scope]: Mapping of source alias to Scope
-315        """
-316        return {
-317            alias: scope
-318            for alias, scope in self.sources.items()
-319            if isinstance(scope, Scope) and scope.is_cte
-320        }
-321
-322    @property
-323    def selects(self):
-324        """
-325        Select expressions of this scope.
-326
-327        For example, for the following expression:
-328            SELECT 1 as a, 2 as b FROM x
-329
-330        The outputs are the "1 as a" and "2 as b" expressions.
-331
-332        Returns:
-333            list[exp.Expression]: expressions
-334        """
-335        if isinstance(self.expression, exp.Union):
-336            return self.expression.unnest().selects
-337        return self.expression.selects
-338
-339    @property
-340    def external_columns(self):
-341        """
-342        Columns that appear to reference sources in outer scopes.
-343
-344        Returns:
-345            list[exp.Column]: Column instances that don't reference
-346                sources in the current scope.
-347        """
-348        if self._external_columns is None:
-349            self._external_columns = [
-350                c for c in self.columns if c.table not in self.selected_sources
-351            ]
-352        return self._external_columns
-353
-354    @property
-355    def unqualified_columns(self):
-356        """
-357        Unqualified columns in the current scope.
-358
-359        Returns:
-360             list[exp.Column]: Unqualified columns
-361        """
-362        return [c for c in self.columns if not c.table]
-363
-364    @property
-365    def join_hints(self):
-366        """
-367        Hints that exist in the scope that reference tables
-368
-369        Returns:
-370            list[exp.JoinHint]: Join hints that are referenced within the scope
-371        """
-372        if self._join_hints is None:
-373            return []
-374        return self._join_hints
-375
-376    @property
-377    def pivots(self):
-378        if not self._pivots:
-379            self._pivots = [
-380                pivot
-381                for node in self.tables + self.derived_tables
-382                for pivot in node.args.get("pivots") or []
-383            ]
-384
-385        return self._pivots
-386
-387    def source_columns(self, source_name):
-388        """
-389        Get all columns in the current scope for a particular source.
-390
-391        Args:
-392            source_name (str): Name of the source
-393        Returns:
-394            list[exp.Column]: Column instances that reference `source_name`
-395        """
-396        return [column for column in self.columns if column.table == source_name]
-397
-398    @property
-399    def is_subquery(self):
-400        """Determine if this scope is a subquery"""
-401        return self.scope_type == ScopeType.SUBQUERY
-402
-403    @property
-404    def is_derived_table(self):
-405        """Determine if this scope is a derived table"""
-406        return self.scope_type == ScopeType.DERIVED_TABLE
-407
-408    @property
-409    def is_union(self):
-410        """Determine if this scope is a union"""
-411        return self.scope_type == ScopeType.UNION
-412
-413    @property
-414    def is_cte(self):
-415        """Determine if this scope is a common table expression"""
-416        return self.scope_type == ScopeType.CTE
-417
-418    @property
-419    def is_root(self):
-420        """Determine if this is the root scope"""
-421        return self.scope_type == ScopeType.ROOT
-422
-423    @property
-424    def is_udtf(self):
-425        """Determine if this scope is a UDTF (User Defined Table Function)"""
-426        return self.scope_type == ScopeType.UDTF
-427
-428    @property
-429    def is_correlated_subquery(self):
-430        """Determine if this scope is a correlated subquery"""
-431        return bool(self.is_subquery and self.external_columns)
-432
-433    def rename_source(self, old_name, new_name):
-434        """Rename a source in this scope"""
-435        columns = self.sources.pop(old_name or "", [])
-436        self.sources[new_name] = columns
-437
-438    def add_source(self, name, source):
-439        """Add a source to this scope"""
-440        self.sources[name] = source
-441        self.clear_cache()
-442
-443    def remove_source(self, name):
-444        """Remove a source from this scope"""
-445        self.sources.pop(name, None)
-446        self.clear_cache()
-447
-448    def __repr__(self):
-449        return f"Scope<{self.expression.sql()}>"
-450
-451    def traverse(self):
-452        """
-453        Traverse the scope tree from this node.
-454
-455        Yields:
-456            Scope: scope instances in depth-first-search post-order
-457        """
-458        for child_scope in itertools.chain(
-459            self.cte_scopes, self.union_scopes, self.table_scopes, self.subquery_scopes
-460        ):
-461            yield from child_scope.traverse()
-462        yield self
-463
-464    def ref_count(self):
-465        """
-466        Count the number of times each scope in this tree is referenced.
-467
-468        Returns:
-469            dict[int, int]: Mapping of Scope instance ID to reference count
-470        """
-471        scope_ref_count = defaultdict(lambda: 0)
-472
-473        for scope in self.traverse():
-474            for _, source in scope.selected_sources.values():
-475                scope_ref_count[id(source)] += 1
-476
-477        return scope_ref_count
-478
+ 19
+ 20class Scope:
+ 21    """
+ 22    Selection scope.
+ 23
+ 24    Attributes:
+ 25        expression (exp.Select|exp.Union): Root expression of this scope
+ 26        sources (dict[str, exp.Table|Scope]): Mapping of source name to either
+ 27            a Table expression or another Scope instance. For example:
+ 28                SELECT * FROM x                     {"x": Table(this="x")}
+ 29                SELECT * FROM x AS y                {"y": Table(this="x")}
+ 30                SELECT * FROM (SELECT ...) AS y     {"y": Scope(...)}
+ 31        lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals
+ 32            For example:
+ 33                SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;
+ 34            The LATERAL VIEW EXPLODE gets x as a source.
+ 35        outer_column_list (list[str]): If this is a derived table or CTE, and the outer query
+ 36            defines a column list of it's alias of this scope, this is that list of columns.
+ 37            For example:
+ 38                SELECT * FROM (SELECT ...) AS y(col1, col2)
+ 39            The inner query would have `["col1", "col2"]` for its `outer_column_list`
+ 40        parent (Scope): Parent scope
+ 41        scope_type (ScopeType): Type of this scope, relative to it's parent
+ 42        subquery_scopes (list[Scope]): List of all child scopes for subqueries
+ 43        cte_scopes (list[Scope]): List of all child scopes for CTEs
+ 44        derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
+ 45        udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
+ 46        table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
+ 47        union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be
+ 48            a list of the left and right child scopes.
+ 49    """
+ 50
+ 51    def __init__(
+ 52        self,
+ 53        expression,
+ 54        sources=None,
+ 55        outer_column_list=None,
+ 56        parent=None,
+ 57        scope_type=ScopeType.ROOT,
+ 58        lateral_sources=None,
+ 59    ):
+ 60        self.expression = expression
+ 61        self.sources = sources or {}
+ 62        self.lateral_sources = lateral_sources.copy() if lateral_sources else {}
+ 63        self.sources.update(self.lateral_sources)
+ 64        self.outer_column_list = outer_column_list or []
+ 65        self.parent = parent
+ 66        self.scope_type = scope_type
+ 67        self.subquery_scopes = []
+ 68        self.derived_table_scopes = []
+ 69        self.table_scopes = []
+ 70        self.cte_scopes = []
+ 71        self.union_scopes = []
+ 72        self.udtf_scopes = []
+ 73        self.clear_cache()
+ 74
+ 75    def clear_cache(self):
+ 76        self._collected = False
+ 77        self._raw_columns = None
+ 78        self._derived_tables = None
+ 79        self._udtfs = None
+ 80        self._tables = None
+ 81        self._ctes = None
+ 82        self._subqueries = None
+ 83        self._selected_sources = None
+ 84        self._columns = None
+ 85        self._external_columns = None
+ 86        self._join_hints = None
+ 87        self._pivots = None
+ 88
+ 89    def branch(self, expression, scope_type, chain_sources=None, **kwargs):
+ 90        """Branch from the current scope to a new, inner scope"""
+ 91        return Scope(
+ 92            expression=expression.unnest(),
+ 93            sources={**self.cte_sources, **(chain_sources or {})},
+ 94            parent=self,
+ 95            scope_type=scope_type,
+ 96            **kwargs,
+ 97        )
+ 98
+ 99    def _collect(self):
+100        self._tables = []
+101        self._ctes = []
+102        self._subqueries = []
+103        self._derived_tables = []
+104        self._udtfs = []
+105        self._raw_columns = []
+106        self._join_hints = []
+107
+108        for node, parent, _ in self.walk(bfs=False):
+109            if node is self.expression:
+110                continue
+111            elif isinstance(node, exp.Column) and not isinstance(node.this, exp.Star):
+112                self._raw_columns.append(node)
+113            elif isinstance(node, exp.Table) and not isinstance(node.parent, exp.JoinHint):
+114                self._tables.append(node)
+115            elif isinstance(node, exp.JoinHint):
+116                self._join_hints.append(node)
+117            elif isinstance(node, exp.UDTF):
+118                self._udtfs.append(node)
+119            elif isinstance(node, exp.CTE):
+120                self._ctes.append(node)
+121            elif isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)):
+122                self._derived_tables.append(node)
+123            elif isinstance(node, exp.Subqueryable):
+124                self._subqueries.append(node)
+125
+126        self._collected = True
+127
+128    def _ensure_collected(self):
+129        if not self._collected:
+130            self._collect()
+131
+132    def walk(self, bfs=True):
+133        return walk_in_scope(self.expression, bfs=bfs)
+134
+135    def find(self, *expression_types, bfs=True):
+136        """
+137        Returns the first node in this scope which matches at least one of the specified types.
+138
+139        This does NOT traverse into subscopes.
+140
+141        Args:
+142            expression_types (type): the expression type(s) to match.
+143            bfs (bool): True to use breadth-first search, False to use depth-first.
+144
+145        Returns:
+146            exp.Expression: the node which matches the criteria or None if no node matching
+147            the criteria was found.
+148        """
+149        return next(self.find_all(*expression_types, bfs=bfs), None)
+150
+151    def find_all(self, *expression_types, bfs=True):
+152        """
+153        Returns a generator object which visits all nodes in this scope and only yields those that
+154        match at least one of the specified expression types.
+155
+156        This does NOT traverse into subscopes.
+157
+158        Args:
+159            expression_types (type): the expression type(s) to match.
+160            bfs (bool): True to use breadth-first search, False to use depth-first.
+161
+162        Yields:
+163            exp.Expression: nodes
+164        """
+165        for expression, *_ in self.walk(bfs=bfs):
+166            if isinstance(expression, expression_types):
+167                yield expression
+168
+169    def replace(self, old, new):
+170        """
+171        Replace `old` with `new`.
+172
+173        This can be used instead of `exp.Expression.replace` to ensure the `Scope` is kept up-to-date.
+174
+175        Args:
+176            old (exp.Expression): old node
+177            new (exp.Expression): new node
+178        """
+179        old.replace(new)
+180        self.clear_cache()
+181
+182    @property
+183    def tables(self):
+184        """
+185        List of tables in this scope.
+186
+187        Returns:
+188            list[exp.Table]: tables
+189        """
+190        self._ensure_collected()
+191        return self._tables
+192
+193    @property
+194    def ctes(self):
+195        """
+196        List of CTEs in this scope.
+197
+198        Returns:
+199            list[exp.CTE]: ctes
+200        """
+201        self._ensure_collected()
+202        return self._ctes
+203
+204    @property
+205    def derived_tables(self):
+206        """
+207        List of derived tables in this scope.
+208
+209        For example:
+210            SELECT * FROM (SELECT ...) <- that's a derived table
+211
+212        Returns:
+213            list[exp.Subquery]: derived tables
+214        """
+215        self._ensure_collected()
+216        return self._derived_tables
+217
+218    @property
+219    def udtfs(self):
+220        """
+221        List of "User Defined Tabular Functions" in this scope.
+222
+223        Returns:
+224            list[exp.UDTF]: UDTFs
+225        """
+226        self._ensure_collected()
+227        return self._udtfs
+228
+229    @property
+230    def subqueries(self):
+231        """
+232        List of subqueries in this scope.
+233
+234        For example:
+235            SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery
+236
+237        Returns:
+238            list[exp.Subqueryable]: subqueries
+239        """
+240        self._ensure_collected()
+241        return self._subqueries
+242
+243    @property
+244    def columns(self):
+245        """
+246        List of columns in this scope.
+247
+248        Returns:
+249            list[exp.Column]: Column instances in this scope, plus any
+250                Columns that reference this scope from correlated subqueries.
+251        """
+252        if self._columns is None:
+253            self._ensure_collected()
+254            columns = self._raw_columns
+255
+256            external_columns = [
+257                column
+258                for scope in itertools.chain(self.subquery_scopes, self.udtf_scopes)
+259                for column in scope.external_columns
+260            ]
+261
+262            named_selects = set(self.expression.named_selects)
+263
+264            self._columns = []
+265            for column in columns + external_columns:
+266                ancestor = column.find_ancestor(
+267                    exp.Select, exp.Qualify, exp.Order, exp.Having, exp.Hint
+268                )
+269                if (
+270                    not ancestor
+271                    or column.table
+272                    or isinstance(ancestor, exp.Select)
+273                    or (isinstance(ancestor, exp.Order) and isinstance(ancestor.parent, exp.Window))
+274                    or (column.name not in named_selects and not isinstance(ancestor, exp.Hint))
+275                ):
+276                    self._columns.append(column)
+277
+278        return self._columns
+279
+280    @property
+281    def selected_sources(self):
+282        """
+283        Mapping of nodes and sources that are actually selected from in this scope.
+284
+285        That is, all tables in a schema are selectable at any point. But a
+286        table only becomes a selected source if it's included in a FROM or JOIN clause.
+287
+288        Returns:
+289            dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes
+290        """
+291        if self._selected_sources is None:
+292            referenced_names = []
+293
+294            for table in self.tables:
+295                referenced_names.append((table.alias_or_name, table))
+296            for expression in itertools.chain(self.derived_tables, self.udtfs):
+297                referenced_names.append((expression.alias, expression.unnest()))
+298            result = {}
+299
+300            for name, node in referenced_names:
+301                if name in result:
+302                    raise OptimizeError(f"Alias already used: {name}")
+303                if name in self.sources:
+304                    result[name] = (node, self.sources[name])
+305
+306            self._selected_sources = result
+307        return self._selected_sources
+308
+309    @property
+310    def cte_sources(self):
+311        """
+312        Sources that are CTEs.
+313
+314        Returns:
+315            dict[str, Scope]: Mapping of source alias to Scope
+316        """
+317        return {
+318            alias: scope
+319            for alias, scope in self.sources.items()
+320            if isinstance(scope, Scope) and scope.is_cte
+321        }
+322
+323    @property
+324    def selects(self):
+325        """
+326        Select expressions of this scope.
+327
+328        For example, for the following expression:
+329            SELECT 1 as a, 2 as b FROM x
+330
+331        The outputs are the "1 as a" and "2 as b" expressions.
+332
+333        Returns:
+334            list[exp.Expression]: expressions
+335        """
+336        if isinstance(self.expression, exp.Union):
+337            return self.expression.unnest().selects
+338        return self.expression.selects
+339
+340    @property
+341    def external_columns(self):
+342        """
+343        Columns that appear to reference sources in outer scopes.
+344
+345        Returns:
+346            list[exp.Column]: Column instances that don't reference
+347                sources in the current scope.
+348        """
+349        if self._external_columns is None:
+350            self._external_columns = [
+351                c for c in self.columns if c.table not in self.selected_sources
+352            ]
+353        return self._external_columns
+354
+355    @property
+356    def unqualified_columns(self):
+357        """
+358        Unqualified columns in the current scope.
+359
+360        Returns:
+361             list[exp.Column]: Unqualified columns
+362        """
+363        return [c for c in self.columns if not c.table]
+364
+365    @property
+366    def join_hints(self):
+367        """
+368        Hints that exist in the scope that reference tables
+369
+370        Returns:
+371            list[exp.JoinHint]: Join hints that are referenced within the scope
+372        """
+373        if self._join_hints is None:
+374            return []
+375        return self._join_hints
+376
+377    @property
+378    def pivots(self):
+379        if not self._pivots:
+380            self._pivots = [
+381                pivot
+382                for node in self.tables + self.derived_tables
+383                for pivot in node.args.get("pivots") or []
+384            ]
+385
+386        return self._pivots
+387
+388    def source_columns(self, source_name):
+389        """
+390        Get all columns in the current scope for a particular source.
+391
+392        Args:
+393            source_name (str): Name of the source
+394        Returns:
+395            list[exp.Column]: Column instances that reference `source_name`
+396        """
+397        return [column for column in self.columns if column.table == source_name]
+398
+399    @property
+400    def is_subquery(self):
+401        """Determine if this scope is a subquery"""
+402        return self.scope_type == ScopeType.SUBQUERY
+403
+404    @property
+405    def is_derived_table(self):
+406        """Determine if this scope is a derived table"""
+407        return self.scope_type == ScopeType.DERIVED_TABLE
+408
+409    @property
+410    def is_union(self):
+411        """Determine if this scope is a union"""
+412        return self.scope_type == ScopeType.UNION
+413
+414    @property
+415    def is_cte(self):
+416        """Determine if this scope is a common table expression"""
+417        return self.scope_type == ScopeType.CTE
+418
+419    @property
+420    def is_root(self):
+421        """Determine if this is the root scope"""
+422        return self.scope_type == ScopeType.ROOT
+423
+424    @property
+425    def is_udtf(self):
+426        """Determine if this scope is a UDTF (User Defined Table Function)"""
+427        return self.scope_type == ScopeType.UDTF
+428
+429    @property
+430    def is_correlated_subquery(self):
+431        """Determine if this scope is a correlated subquery"""
+432        return bool(self.is_subquery and self.external_columns)
+433
+434    def rename_source(self, old_name, new_name):
+435        """Rename a source in this scope"""
+436        columns = self.sources.pop(old_name or "", [])
+437        self.sources[new_name] = columns
+438
+439    def add_source(self, name, source):
+440        """Add a source to this scope"""
+441        self.sources[name] = source
+442        self.clear_cache()
+443
+444    def remove_source(self, name):
+445        """Remove a source from this scope"""
+446        self.sources.pop(name, None)
+447        self.clear_cache()
+448
+449    def __repr__(self):
+450        return f"Scope<{self.expression.sql()}>"
+451
+452    def traverse(self):
+453        """
+454        Traverse the scope tree from this node.
+455
+456        Yields:
+457            Scope: scope instances in depth-first-search post-order
+458        """
+459        for child_scope in itertools.chain(
+460            self.cte_scopes, self.union_scopes, self.table_scopes, self.subquery_scopes
+461        ):
+462            yield from child_scope.traverse()
+463        yield self
+464
+465    def ref_count(self):
+466        """
+467        Count the number of times each scope in this tree is referenced.
+468
+469        Returns:
+470            dict[int, int]: Mapping of Scope instance ID to reference count
+471        """
+472        scope_ref_count = defaultdict(lambda: 0)
+473
+474        for scope in self.traverse():
+475            for _, source in scope.selected_sources.values():
+476                scope_ref_count[id(source)] += 1
+477
+478        return scope_ref_count
 479
-480def traverse_scope(expression):
-481    """
-482    Traverse an expression by it's "scopes".
-483
-484    "Scope" represents the current context of a Select statement.
-485
-486    This is helpful for optimizing queries, where we need more information than
-487    the expression tree itself. For example, we might care about the source
-488    names within a subquery. Returns a list because a generator could result in
-489    incomplete properties which is confusing.
-490
-491    Examples:
-492        >>> import sqlglot
-493        >>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")
-494        >>> scopes = traverse_scope(expression)
-495        >>> scopes[0].expression.sql(), list(scopes[0].sources)
-496        ('SELECT a FROM x', ['x'])
-497        >>> scopes[1].expression.sql(), list(scopes[1].sources)
-498        ('SELECT a FROM (SELECT a FROM x) AS y', ['y'])
-499
-500    Args:
-501        expression (exp.Expression): expression to traverse
-502    Returns:
-503        list[Scope]: scope instances
-504    """
-505    return list(_traverse_scope(Scope(expression)))
-506
-507
-508def build_scope(expression):
-509    """
-510    Build a scope tree.
-511
-512    Args:
-513        expression (exp.Expression): expression to build the scope tree for
-514    Returns:
-515        Scope: root scope
-516    """
-517    return traverse_scope(expression)[-1]
-518
-519
-520def _traverse_scope(scope):
-521    if isinstance(scope.expression, exp.Select):
-522        yield from _traverse_select(scope)
-523    elif isinstance(scope.expression, exp.Union):
-524        yield from _traverse_union(scope)
-525    elif isinstance(scope.expression, exp.Subquery):
-526        yield from _traverse_subqueries(scope)
-527    elif isinstance(scope.expression, exp.Table):
-528        # This case corresponds to a "join construct", i.e. (tbl1 JOIN tbl2 ON ..)
-529        yield from _traverse_tables(scope)
-530    elif isinstance(scope.expression, exp.UDTF):
-531        pass
-532    else:
-533        raise OptimizeError(f"Unexpected expression type: {type(scope.expression)}")
-534    yield scope
-535
-536
-537def _traverse_select(scope):
-538    yield from _traverse_ctes(scope)
-539    yield from _traverse_tables(scope)
-540    yield from _traverse_subqueries(scope)
+480
+481def traverse_scope(expression: exp.Expression) -> t.List[Scope]:
+482    """
+483    Traverse an expression by it's "scopes".
+484
+485    "Scope" represents the current context of a Select statement.
+486
+487    This is helpful for optimizing queries, where we need more information than
+488    the expression tree itself. For example, we might care about the source
+489    names within a subquery. Returns a list because a generator could result in
+490    incomplete properties which is confusing.
+491
+492    Examples:
+493        >>> import sqlglot
+494        >>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")
+495        >>> scopes = traverse_scope(expression)
+496        >>> scopes[0].expression.sql(), list(scopes[0].sources)
+497        ('SELECT a FROM x', ['x'])
+498        >>> scopes[1].expression.sql(), list(scopes[1].sources)
+499        ('SELECT a FROM (SELECT a FROM x) AS y', ['y'])
+500
+501    Args:
+502        expression (exp.Expression): expression to traverse
+503    Returns:
+504        list[Scope]: scope instances
+505    """
+506    if not isinstance(expression, exp.Unionable):
+507        return []
+508    return list(_traverse_scope(Scope(expression)))
+509
+510
+511def build_scope(expression: exp.Expression) -> t.Optional[Scope]:
+512    """
+513    Build a scope tree.
+514
+515    Args:
+516        expression (exp.Expression): expression to build the scope tree for
+517    Returns:
+518        Scope: root scope
+519    """
+520    scopes = traverse_scope(expression)
+521    if scopes:
+522        return scopes[-1]
+523    return None
+524
+525
+526def _traverse_scope(scope):
+527    if isinstance(scope.expression, exp.Select):
+528        yield from _traverse_select(scope)
+529    elif isinstance(scope.expression, exp.Union):
+530        yield from _traverse_union(scope)
+531    elif isinstance(scope.expression, exp.Subquery):
+532        yield from _traverse_subqueries(scope)
+533    elif isinstance(scope.expression, exp.Table):
+534        # This case corresponds to a "join construct", i.e. (tbl1 JOIN tbl2 ON ..)
+535        yield from _traverse_tables(scope)
+536    elif isinstance(scope.expression, exp.UDTF):
+537        pass
+538    else:
+539        raise OptimizeError(f"Unexpected expression type: {type(scope.expression)}")
+540    yield scope
 541
 542
-543def _traverse_union(scope):
+543def _traverse_select(scope):
 544    yield from _traverse_ctes(scope)
-545
-546    # The last scope to be yield should be the top most scope
-547    left = None
-548    for left in _traverse_scope(scope.branch(scope.expression.left, scope_type=ScopeType.UNION)):
-549        yield left
-550
-551    right = None
-552    for right in _traverse_scope(scope.branch(scope.expression.right, scope_type=ScopeType.UNION)):
-553        yield right
-554
-555    scope.union_scopes = [left, right]
+545    yield from _traverse_tables(scope)
+546    yield from _traverse_subqueries(scope)
+547
+548
+549def _traverse_union(scope):
+550    yield from _traverse_ctes(scope)
+551
+552    # The last scope to be yield should be the top most scope
+553    left = None
+554    for left in _traverse_scope(scope.branch(scope.expression.left, scope_type=ScopeType.UNION)):
+555        yield left
 556
-557
-558def _traverse_ctes(scope):
-559    sources = {}
+557    right = None
+558    for right in _traverse_scope(scope.branch(scope.expression.right, scope_type=ScopeType.UNION)):
+559        yield right
 560
-561    for cte in scope.ctes:
-562        recursive_scope = None
+561    scope.union_scopes = [left, right]
+562
 563
-564        # if the scope is a recursive cte, it must be in the form of
-565        # base_case UNION recursive. thus the recursive scope is the first
-566        # section of the union.
-567        if scope.expression.args["with"].recursive:
-568            union = cte.this
+564def _traverse_ctes(scope):
+565    sources = {}
+566
+567    for cte in scope.ctes:
+568        recursive_scope = None
 569
-570            if isinstance(union, exp.Union):
-571                recursive_scope = scope.branch(union.this, scope_type=ScopeType.CTE)
-572
-573        for child_scope in _traverse_scope(
-574            scope.branch(
-575                cte.this,
-576                chain_sources=sources,
-577                outer_column_list=cte.alias_column_names,
-578                scope_type=ScopeType.CTE,
-579            )
-580        ):
-581            yield child_scope
-582
-583            alias = cte.alias
-584            sources[alias] = child_scope
-585
-586            if recursive_scope:
-587                child_scope.add_source(alias, recursive_scope)
+570        # if the scope is a recursive cte, it must be in the form of
+571        # base_case UNION recursive. thus the recursive scope is the first
+572        # section of the union.
+573        if scope.expression.args["with"].recursive:
+574            union = cte.this
+575
+576            if isinstance(union, exp.Union):
+577                recursive_scope = scope.branch(union.this, scope_type=ScopeType.CTE)
+578
+579        for child_scope in _traverse_scope(
+580            scope.branch(
+581                cte.this,
+582                chain_sources=sources,
+583                outer_column_list=cte.alias_column_names,
+584                scope_type=ScopeType.CTE,
+585            )
+586        ):
+587            yield child_scope
 588
-589        # append the final child_scope yielded
-590        scope.cte_scopes.append(child_scope)
+589            alias = cte.alias
+590            sources[alias] = child_scope
 591
-592    scope.sources.update(sources)
-593
+592            if recursive_scope:
+593                child_scope.add_source(alias, recursive_scope)
 594
-595def _traverse_tables(scope):
-596    sources = {}
+595        # append the final child_scope yielded
+596        scope.cte_scopes.append(child_scope)
 597
-598    # Traverse FROMs, JOINs, and LATERALs in the order they are defined
-599    expressions = []
-600    from_ = scope.expression.args.get("from")
-601    if from_:
-602        expressions.append(from_.this)
+598    scope.sources.update(sources)
+599
+600
+601def _traverse_tables(scope):
+602    sources = {}
 603
-604    for join in scope.expression.args.get("joins") or []:
-605        expressions.append(join.this)
-606
-607    if isinstance(scope.expression, exp.Table):
-608        expressions.append(scope.expression)
+604    # Traverse FROMs, JOINs, and LATERALs in the order they are defined
+605    expressions = []
+606    from_ = scope.expression.args.get("from")
+607    if from_:
+608        expressions.append(from_.this)
 609
-610    expressions.extend(scope.expression.args.get("laterals") or [])
-611
-612    for expression in expressions:
-613        if isinstance(expression, exp.Table):
-614            table_name = expression.name
-615            source_name = expression.alias_or_name
-616
-617            if table_name in scope.sources:
-618                # This is a reference to a parent source (e.g. a CTE), not an actual table, unless
-619                # it is pivoted, because then we get back a new table and hence a new source.
-620                pivots = expression.args.get("pivots")
-621                if pivots:
-622                    sources[pivots[0].alias] = expression
-623                else:
-624                    sources[source_name] = scope.sources[table_name]
-625            elif source_name in sources:
-626                sources[find_new_name(sources, table_name)] = expression
-627            else:
-628                sources[source_name] = expression
-629            continue
-630
-631        if isinstance(expression, exp.UDTF):
-632            lateral_sources = sources
-633            scope_type = ScopeType.UDTF
-634            scopes = scope.udtf_scopes
-635        else:
-636            lateral_sources = None
-637            scope_type = ScopeType.DERIVED_TABLE
-638            scopes = scope.derived_table_scopes
-639
-640        for child_scope in _traverse_scope(
-641            scope.branch(
-642                expression,
-643                lateral_sources=lateral_sources,
-644                outer_column_list=expression.alias_column_names,
-645                scope_type=scope_type,
-646            )
-647        ):
-648            yield child_scope
-649
-650            # Tables without aliases will be set as ""
-651            # This shouldn't be a problem once qualify_columns runs, as it adds aliases on everything.
-652            # Until then, this means that only a single, unaliased derived table is allowed (rather,
-653            # the latest one wins.
-654            alias = expression.alias
-655            sources[alias] = child_scope
-656
-657        # append the final child_scope yielded
-658        scopes.append(child_scope)
-659        scope.table_scopes.append(child_scope)
-660
-661    scope.sources.update(sources)
+610    for join in scope.expression.args.get("joins") or []:
+611        expressions.append(join.this)
+612
+613    if isinstance(scope.expression, exp.Table):
+614        expressions.append(scope.expression)
+615
+616    expressions.extend(scope.expression.args.get("laterals") or [])
+617
+618    for expression in expressions:
+619        if isinstance(expression, exp.Table):
+620            table_name = expression.name
+621            source_name = expression.alias_or_name
+622
+623            if table_name in scope.sources:
+624                # This is a reference to a parent source (e.g. a CTE), not an actual table, unless
+625                # it is pivoted, because then we get back a new table and hence a new source.
+626                pivots = expression.args.get("pivots")
+627                if pivots:
+628                    sources[pivots[0].alias] = expression
+629                else:
+630                    sources[source_name] = scope.sources[table_name]
+631            elif source_name in sources:
+632                sources[find_new_name(sources, table_name)] = expression
+633            else:
+634                sources[source_name] = expression
+635            continue
+636
+637        if isinstance(expression, exp.UDTF):
+638            lateral_sources = sources
+639            scope_type = ScopeType.UDTF
+640            scopes = scope.udtf_scopes
+641        else:
+642            lateral_sources = None
+643            scope_type = ScopeType.DERIVED_TABLE
+644            scopes = scope.derived_table_scopes
+645
+646        for child_scope in _traverse_scope(
+647            scope.branch(
+648                expression,
+649                lateral_sources=lateral_sources,
+650                outer_column_list=expression.alias_column_names,
+651                scope_type=scope_type,
+652            )
+653        ):
+654            yield child_scope
+655
+656            # Tables without aliases will be set as ""
+657            # This shouldn't be a problem once qualify_columns runs, as it adds aliases on everything.
+658            # Until then, this means that only a single, unaliased derived table is allowed (rather,
+659            # the latest one wins.
+660            alias = expression.alias
+661            sources[alias] = child_scope
 662
-663
-664def _traverse_subqueries(scope):
-665    for subquery in scope.subqueries:
-666        top = None
-667        for child_scope in _traverse_scope(scope.branch(subquery, scope_type=ScopeType.SUBQUERY)):
-668            yield child_scope
-669            top = child_scope
-670        scope.subquery_scopes.append(top)
-671
-672
-673def walk_in_scope(expression, bfs=True):
-674    """
-675    Returns a generator object which visits all nodes in the syntrax tree, stopping at
-676    nodes that start child scopes.
+663        # append the final child_scope yielded
+664        scopes.append(child_scope)
+665        scope.table_scopes.append(child_scope)
+666
+667    scope.sources.update(sources)
+668
+669
+670def _traverse_subqueries(scope):
+671    for subquery in scope.subqueries:
+672        top = None
+673        for child_scope in _traverse_scope(scope.branch(subquery, scope_type=ScopeType.SUBQUERY)):
+674            yield child_scope
+675            top = child_scope
+676        scope.subquery_scopes.append(top)
 677
-678    Args:
-679        expression (exp.Expression):
-680        bfs (bool): if set to True the BFS traversal order will be applied,
-681            otherwise the DFS traversal will be used instead.
-682
-683    Yields:
-684        tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key
-685    """
-686    # We'll use this variable to pass state into the dfs generator.
-687    # Whenever we set it to True, we exclude a subtree from traversal.
-688    prune = False
-689
-690    for node, parent, key in expression.walk(bfs=bfs, prune=lambda *_: prune):
-691        prune = False
-692
-693        yield node, parent, key
-694
-695        if node is expression:
-696            continue
-697        if (
-698            isinstance(node, exp.CTE)
-699            or (isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)))
-700            or isinstance(node, exp.UDTF)
-701            or isinstance(node, exp.Subqueryable)
-702        ):
-703            prune = True
+678
+679def walk_in_scope(expression, bfs=True):
+680    """
+681    Returns a generator object which visits all nodes in the syntrax tree, stopping at
+682    nodes that start child scopes.
+683
+684    Args:
+685        expression (exp.Expression):
+686        bfs (bool): if set to True the BFS traversal order will be applied,
+687            otherwise the DFS traversal will be used instead.
+688
+689    Yields:
+690        tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key
+691    """
+692    # We'll use this variable to pass state into the dfs generator.
+693    # Whenever we set it to True, we exclude a subtree from traversal.
+694    prune = False
+695
+696    for node, parent, key in expression.walk(bfs=bfs, prune=lambda *_: prune):
+697        prune = False
+698
+699        yield node, parent, key
+700
+701        if node is expression:
+702            continue
+703        if (
+704            isinstance(node, exp.CTE)
+705            or (isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)))
+706            or isinstance(node, exp.UDTF)
+707            or isinstance(node, exp.Subqueryable)
+708        ):
+709            prune = True
 
    
 
 
@@ -906,13 +912,13 @@ 
    
 
     
    
     
-            
    11class ScopeType(Enum):
-12    ROOT = auto()
-13    SUBQUERY = auto()
-14    DERIVED_TABLE = auto()
-15    CTE = auto()
-16    UNION = auto()
-17    UDTF = auto()
+            
    12class ScopeType(Enum):
+13    ROOT = auto()
+14    SUBQUERY = auto()
+15    DERIVED_TABLE = auto()
+16    CTE = auto()
+17    UNION = auto()
+18    UDTF = auto()
 
    
 
 
@@ -1014,465 +1020,465 @@ 
    Inherited Members
    
 
     
    
     
-            
     20class Scope:
- 21    """
- 22    Selection scope.
- 23
- 24    Attributes:
- 25        expression (exp.Select|exp.Union): Root expression of this scope
- 26        sources (dict[str, exp.Table|Scope]): Mapping of source name to either
- 27            a Table expression or another Scope instance. For example:
- 28                SELECT * FROM x                     {"x": Table(this="x")}
- 29                SELECT * FROM x AS y                {"y": Table(this="x")}
- 30                SELECT * FROM (SELECT ...) AS y     {"y": Scope(...)}
- 31        lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals
- 32            For example:
- 33                SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;
- 34            The LATERAL VIEW EXPLODE gets x as a source.
- 35        outer_column_list (list[str]): If this is a derived table or CTE, and the outer query
- 36            defines a column list of it's alias of this scope, this is that list of columns.
- 37            For example:
- 38                SELECT * FROM (SELECT ...) AS y(col1, col2)
- 39            The inner query would have `["col1", "col2"]` for its `outer_column_list`
- 40        parent (Scope): Parent scope
- 41        scope_type (ScopeType): Type of this scope, relative to it's parent
- 42        subquery_scopes (list[Scope]): List of all child scopes for subqueries
- 43        cte_scopes (list[Scope]): List of all child scopes for CTEs
- 44        derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
- 45        udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
- 46        table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
- 47        union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be
- 48            a list of the left and right child scopes.
- 49    """
- 50
- 51    def __init__(
- 52        self,
- 53        expression,
- 54        sources=None,
- 55        outer_column_list=None,
- 56        parent=None,
- 57        scope_type=ScopeType.ROOT,
- 58        lateral_sources=None,
- 59    ):
- 60        self.expression = expression
- 61        self.sources = sources or {}
- 62        self.lateral_sources = lateral_sources.copy() if lateral_sources else {}
- 63        self.sources.update(self.lateral_sources)
- 64        self.outer_column_list = outer_column_list or []
- 65        self.parent = parent
- 66        self.scope_type = scope_type
- 67        self.subquery_scopes = []
- 68        self.derived_table_scopes = []
- 69        self.table_scopes = []
- 70        self.cte_scopes = []
- 71        self.union_scopes = []
- 72        self.udtf_scopes = []
- 73        self.clear_cache()
- 74
- 75    def clear_cache(self):
- 76        self._collected = False
- 77        self._raw_columns = None
- 78        self._derived_tables = None
- 79        self._udtfs = None
- 80        self._tables = None
- 81        self._ctes = None
- 82        self._subqueries = None
- 83        self._selected_sources = None
- 84        self._columns = None
- 85        self._external_columns = None
- 86        self._join_hints = None
- 87        self._pivots = None
- 88
- 89    def branch(self, expression, scope_type, chain_sources=None, **kwargs):
- 90        """Branch from the current scope to a new, inner scope"""
- 91        return Scope(
- 92            expression=expression.unnest(),
- 93            sources={**self.cte_sources, **(chain_sources or {})},
- 94            parent=self,
- 95            scope_type=scope_type,
- 96            **kwargs,
- 97        )
- 98
- 99    def _collect(self):
-100        self._tables = []
-101        self._ctes = []
-102        self._subqueries = []
-103        self._derived_tables = []
-104        self._udtfs = []
-105        self._raw_columns = []
-106        self._join_hints = []
-107
-108        for node, parent, _ in self.walk(bfs=False):
-109            if node is self.expression:
-110                continue
-111            elif isinstance(node, exp.Column) and not isinstance(node.this, exp.Star):
-112                self._raw_columns.append(node)
-113            elif isinstance(node, exp.Table) and not isinstance(node.parent, exp.JoinHint):
-114                self._tables.append(node)
-115            elif isinstance(node, exp.JoinHint):
-116                self._join_hints.append(node)
-117            elif isinstance(node, exp.UDTF):
-118                self._udtfs.append(node)
-119            elif isinstance(node, exp.CTE):
-120                self._ctes.append(node)
-121            elif isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)):
-122                self._derived_tables.append(node)
-123            elif isinstance(node, exp.Subqueryable):
-124                self._subqueries.append(node)
-125
-126        self._collected = True
-127
-128    def _ensure_collected(self):
-129        if not self._collected:
-130            self._collect()
-131
-132    def walk(self, bfs=True):
-133        return walk_in_scope(self.expression, bfs=bfs)
-134
-135    def find(self, *expression_types, bfs=True):
-136        """
-137        Returns the first node in this scope which matches at least one of the specified types.
-138
-139        This does NOT traverse into subscopes.
-140
-141        Args:
-142            expression_types (type): the expression type(s) to match.
-143            bfs (bool): True to use breadth-first search, False to use depth-first.
-144
-145        Returns:
-146            exp.Expression: the node which matches the criteria or None if no node matching
-147            the criteria was found.
-148        """
-149        return next(self.find_all(*expression_types, bfs=bfs), None)
-150
-151    def find_all(self, *expression_types, bfs=True):
-152        """
-153        Returns a generator object which visits all nodes in this scope and only yields those that
-154        match at least one of the specified expression types.
-155
-156        This does NOT traverse into subscopes.
-157
-158        Args:
-159            expression_types (type): the expression type(s) to match.
-160            bfs (bool): True to use breadth-first search, False to use depth-first.
-161
-162        Yields:
-163            exp.Expression: nodes
-164        """
-165        for expression, *_ in self.walk(bfs=bfs):
-166            if isinstance(expression, expression_types):
-167                yield expression
-168
-169    def replace(self, old, new):
-170        """
-171        Replace `old` with `new`.
-172
-173        This can be used instead of `exp.Expression.replace` to ensure the `Scope` is kept up-to-date.
-174
-175        Args:
-176            old (exp.Expression): old node
-177            new (exp.Expression): new node
-178        """
-179        old.replace(new)
-180        self.clear_cache()
-181
-182    @property
-183    def tables(self):
-184        """
-185        List of tables in this scope.
-186
-187        Returns:
-188            list[exp.Table]: tables
-189        """
-190        self._ensure_collected()
-191        return self._tables
-192
-193    @property
-194    def ctes(self):
-195        """
-196        List of CTEs in this scope.
-197
-198        Returns:
-199            list[exp.CTE]: ctes
-200        """
-201        self._ensure_collected()
-202        return self._ctes
-203
-204    @property
-205    def derived_tables(self):
-206        """
-207        List of derived tables in this scope.
-208
-209        For example:
-210            SELECT * FROM (SELECT ...) <- that's a derived table
-211
-212        Returns:
-213            list[exp.Subquery]: derived tables
-214        """
-215        self._ensure_collected()
-216        return self._derived_tables
-217
-218    @property
-219    def udtfs(self):
-220        """
-221        List of "User Defined Tabular Functions" in this scope.
-222
-223        Returns:
-224            list[exp.UDTF]: UDTFs
-225        """
-226        self._ensure_collected()
-227        return self._udtfs
-228
-229    @property
-230    def subqueries(self):
-231        """
-232        List of subqueries in this scope.
-233
-234        For example:
-235            SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery
-236
-237        Returns:
-238            list[exp.Subqueryable]: subqueries
-239        """
-240        self._ensure_collected()
-241        return self._subqueries
-242
-243    @property
-244    def columns(self):
-245        """
-246        List of columns in this scope.
-247
-248        Returns:
-249            list[exp.Column]: Column instances in this scope, plus any
-250                Columns that reference this scope from correlated subqueries.
-251        """
-252        if self._columns is None:
-253            self._ensure_collected()
-254            columns = self._raw_columns
-255
-256            external_columns = [
-257                column
-258                for scope in itertools.chain(self.subquery_scopes, self.udtf_scopes)
-259                for column in scope.external_columns
-260            ]
-261
-262            named_selects = set(self.expression.named_selects)
-263
-264            self._columns = []
-265            for column in columns + external_columns:
-266                ancestor = column.find_ancestor(
-267                    exp.Select, exp.Qualify, exp.Order, exp.Having, exp.Hint
-268                )
-269                if (
-270                    not ancestor
-271                    or column.table
-272                    or isinstance(ancestor, exp.Select)
-273                    or (isinstance(ancestor, exp.Order) and isinstance(ancestor.parent, exp.Window))
-274                    or (column.name not in named_selects and not isinstance(ancestor, exp.Hint))
-275                ):
-276                    self._columns.append(column)
-277
-278        return self._columns
-279
-280    @property
-281    def selected_sources(self):
-282        """
-283        Mapping of nodes and sources that are actually selected from in this scope.
-284
-285        That is, all tables in a schema are selectable at any point. But a
-286        table only becomes a selected source if it's included in a FROM or JOIN clause.
-287
-288        Returns:
-289            dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes
-290        """
-291        if self._selected_sources is None:
-292            referenced_names = []
-293
-294            for table in self.tables:
-295                referenced_names.append((table.alias_or_name, table))
-296            for expression in itertools.chain(self.derived_tables, self.udtfs):
-297                referenced_names.append((expression.alias, expression.unnest()))
-298            result = {}
-299
-300            for name, node in referenced_names:
-301                if name in result:
-302                    raise OptimizeError(f"Alias already used: {name}")
-303                if name in self.sources:
-304                    result[name] = (node, self.sources[name])
-305
-306            self._selected_sources = result
-307        return self._selected_sources
-308
-309    @property
-310    def cte_sources(self):
-311        """
-312        Sources that are CTEs.
-313
-314        Returns:
-315            dict[str, Scope]: Mapping of source alias to Scope
-316        """
-317        return {
-318            alias: scope
-319            for alias, scope in self.sources.items()
-320            if isinstance(scope, Scope) and scope.is_cte
-321        }
-322
-323    @property
-324    def selects(self):
-325        """
-326        Select expressions of this scope.
-327
-328        For example, for the following expression:
-329            SELECT 1 as a, 2 as b FROM x
-330
-331        The outputs are the "1 as a" and "2 as b" expressions.
-332
-333        Returns:
-334            list[exp.Expression]: expressions
-335        """
-336        if isinstance(self.expression, exp.Union):
-337            return self.expression.unnest().selects
-338        return self.expression.selects
-339
-340    @property
-341    def external_columns(self):
-342        """
-343        Columns that appear to reference sources in outer scopes.
-344
-345        Returns:
-346            list[exp.Column]: Column instances that don't reference
-347                sources in the current scope.
-348        """
-349        if self._external_columns is None:
-350            self._external_columns = [
-351                c for c in self.columns if c.table not in self.selected_sources
-352            ]
-353        return self._external_columns
-354
-355    @property
-356    def unqualified_columns(self):
-357        """
-358        Unqualified columns in the current scope.
-359
-360        Returns:
-361             list[exp.Column]: Unqualified columns
-362        """
-363        return [c for c in self.columns if not c.table]
-364
-365    @property
-366    def join_hints(self):
-367        """
-368        Hints that exist in the scope that reference tables
-369
-370        Returns:
-371            list[exp.JoinHint]: Join hints that are referenced within the scope
-372        """
-373        if self._join_hints is None:
-374            return []
-375        return self._join_hints
-376
-377    @property
-378    def pivots(self):
-379        if not self._pivots:
-380            self._pivots = [
-381                pivot
-382                for node in self.tables + self.derived_tables
-383                for pivot in node.args.get("pivots") or []
-384            ]
-385
-386        return self._pivots
-387
-388    def source_columns(self, source_name):
-389        """
-390        Get all columns in the current scope for a particular source.
-391
-392        Args:
-393            source_name (str): Name of the source
-394        Returns:
-395            list[exp.Column]: Column instances that reference `source_name`
-396        """
-397        return [column for column in self.columns if column.table == source_name]
-398
-399    @property
-400    def is_subquery(self):
-401        """Determine if this scope is a subquery"""
-402        return self.scope_type == ScopeType.SUBQUERY
-403
-404    @property
-405    def is_derived_table(self):
-406        """Determine if this scope is a derived table"""
-407        return self.scope_type == ScopeType.DERIVED_TABLE
-408
-409    @property
-410    def is_union(self):
-411        """Determine if this scope is a union"""
-412        return self.scope_type == ScopeType.UNION
-413
-414    @property
-415    def is_cte(self):
-416        """Determine if this scope is a common table expression"""
-417        return self.scope_type == ScopeType.CTE
-418
-419    @property
-420    def is_root(self):
-421        """Determine if this is the root scope"""
-422        return self.scope_type == ScopeType.ROOT
-423
-424    @property
-425    def is_udtf(self):
-426        """Determine if this scope is a UDTF (User Defined Table Function)"""
-427        return self.scope_type == ScopeType.UDTF
-428
-429    @property
-430    def is_correlated_subquery(self):
-431        """Determine if this scope is a correlated subquery"""
-432        return bool(self.is_subquery and self.external_columns)
-433
-434    def rename_source(self, old_name, new_name):
-435        """Rename a source in this scope"""
-436        columns = self.sources.pop(old_name or "", [])
-437        self.sources[new_name] = columns
-438
-439    def add_source(self, name, source):
-440        """Add a source to this scope"""
-441        self.sources[name] = source
-442        self.clear_cache()
-443
-444    def remove_source(self, name):
-445        """Remove a source from this scope"""
-446        self.sources.pop(name, None)
-447        self.clear_cache()
-448
-449    def __repr__(self):
-450        return f"Scope<{self.expression.sql()}>"
-451
-452    def traverse(self):
-453        """
-454        Traverse the scope tree from this node.
-455
-456        Yields:
-457            Scope: scope instances in depth-first-search post-order
-458        """
-459        for child_scope in itertools.chain(
-460            self.cte_scopes, self.union_scopes, self.table_scopes, self.subquery_scopes
-461        ):
-462            yield from child_scope.traverse()
-463        yield self
-464
-465    def ref_count(self):
-466        """
-467        Count the number of times each scope in this tree is referenced.
-468
-469        Returns:
-470            dict[int, int]: Mapping of Scope instance ID to reference count
-471        """
-472        scope_ref_count = defaultdict(lambda: 0)
-473
-474        for scope in self.traverse():
-475            for _, source in scope.selected_sources.values():
-476                scope_ref_count[id(source)] += 1
-477
-478        return scope_ref_count
+            
     21class Scope:
+ 22    """
+ 23    Selection scope.
+ 24
+ 25    Attributes:
+ 26        expression (exp.Select|exp.Union): Root expression of this scope
+ 27        sources (dict[str, exp.Table|Scope]): Mapping of source name to either
+ 28            a Table expression or another Scope instance. For example:
+ 29                SELECT * FROM x                     {"x": Table(this="x")}
+ 30                SELECT * FROM x AS y                {"y": Table(this="x")}
+ 31                SELECT * FROM (SELECT ...) AS y     {"y": Scope(...)}
+ 32        lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals
+ 33            For example:
+ 34                SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;
+ 35            The LATERAL VIEW EXPLODE gets x as a source.
+ 36        outer_column_list (list[str]): If this is a derived table or CTE, and the outer query
+ 37            defines a column list of it's alias of this scope, this is that list of columns.
+ 38            For example:
+ 39                SELECT * FROM (SELECT ...) AS y(col1, col2)
+ 40            The inner query would have `["col1", "col2"]` for its `outer_column_list`
+ 41        parent (Scope): Parent scope
+ 42        scope_type (ScopeType): Type of this scope, relative to it's parent
+ 43        subquery_scopes (list[Scope]): List of all child scopes for subqueries
+ 44        cte_scopes (list[Scope]): List of all child scopes for CTEs
+ 45        derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
+ 46        udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
+ 47        table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
+ 48        union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be
+ 49            a list of the left and right child scopes.
+ 50    """
+ 51
+ 52    def __init__(
+ 53        self,
+ 54        expression,
+ 55        sources=None,
+ 56        outer_column_list=None,
+ 57        parent=None,
+ 58        scope_type=ScopeType.ROOT,
+ 59        lateral_sources=None,
+ 60    ):
+ 61        self.expression = expression
+ 62        self.sources = sources or {}
+ 63        self.lateral_sources = lateral_sources.copy() if lateral_sources else {}
+ 64        self.sources.update(self.lateral_sources)
+ 65        self.outer_column_list = outer_column_list or []
+ 66        self.parent = parent
+ 67        self.scope_type = scope_type
+ 68        self.subquery_scopes = []
+ 69        self.derived_table_scopes = []
+ 70        self.table_scopes = []
+ 71        self.cte_scopes = []
+ 72        self.union_scopes = []
+ 73        self.udtf_scopes = []
+ 74        self.clear_cache()
+ 75
+ 76    def clear_cache(self):
+ 77        self._collected = False
+ 78        self._raw_columns = None
+ 79        self._derived_tables = None
+ 80        self._udtfs = None
+ 81        self._tables = None
+ 82        self._ctes = None
+ 83        self._subqueries = None
+ 84        self._selected_sources = None
+ 85        self._columns = None
+ 86        self._external_columns = None
+ 87        self._join_hints = None
+ 88        self._pivots = None
+ 89
+ 90    def branch(self, expression, scope_type, chain_sources=None, **kwargs):
+ 91        """Branch from the current scope to a new, inner scope"""
+ 92        return Scope(
+ 93            expression=expression.unnest(),
+ 94            sources={**self.cte_sources, **(chain_sources or {})},
+ 95            parent=self,
+ 96            scope_type=scope_type,
+ 97            **kwargs,
+ 98        )
+ 99
+100    def _collect(self):
+101        self._tables = []
+102        self._ctes = []
+103        self._subqueries = []
+104        self._derived_tables = []
+105        self._udtfs = []
+106        self._raw_columns = []
+107        self._join_hints = []
+108
+109        for node, parent, _ in self.walk(bfs=False):
+110            if node is self.expression:
+111                continue
+112            elif isinstance(node, exp.Column) and not isinstance(node.this, exp.Star):
+113                self._raw_columns.append(node)
+114            elif isinstance(node, exp.Table) and not isinstance(node.parent, exp.JoinHint):
+115                self._tables.append(node)
+116            elif isinstance(node, exp.JoinHint):
+117                self._join_hints.append(node)
+118            elif isinstance(node, exp.UDTF):
+119                self._udtfs.append(node)
+120            elif isinstance(node, exp.CTE):
+121                self._ctes.append(node)
+122            elif isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)):
+123                self._derived_tables.append(node)
+124            elif isinstance(node, exp.Subqueryable):
+125                self._subqueries.append(node)
+126
+127        self._collected = True
+128
+129    def _ensure_collected(self):
+130        if not self._collected:
+131            self._collect()
+132
+133    def walk(self, bfs=True):
+134        return walk_in_scope(self.expression, bfs=bfs)
+135
+136    def find(self, *expression_types, bfs=True):
+137        """
+138        Returns the first node in this scope which matches at least one of the specified types.
+139
+140        This does NOT traverse into subscopes.
+141
+142        Args:
+143            expression_types (type): the expression type(s) to match.
+144            bfs (bool): True to use breadth-first search, False to use depth-first.
+145
+146        Returns:
+147            exp.Expression: the node which matches the criteria or None if no node matching
+148            the criteria was found.
+149        """
+150        return next(self.find_all(*expression_types, bfs=bfs), None)
+151
+152    def find_all(self, *expression_types, bfs=True):
+153        """
+154        Returns a generator object which visits all nodes in this scope and only yields those that
+155        match at least one of the specified expression types.
+156
+157        This does NOT traverse into subscopes.
+158
+159        Args:
+160            expression_types (type): the expression type(s) to match.
+161            bfs (bool): True to use breadth-first search, False to use depth-first.
+162
+163        Yields:
+164            exp.Expression: nodes
+165        """
+166        for expression, *_ in self.walk(bfs=bfs):
+167            if isinstance(expression, expression_types):
+168                yield expression
+169
+170    def replace(self, old, new):
+171        """
+172        Replace `old` with `new`.
+173
+174        This can be used instead of `exp.Expression.replace` to ensure the `Scope` is kept up-to-date.
+175
+176        Args:
+177            old (exp.Expression): old node
+178            new (exp.Expression): new node
+179        """
+180        old.replace(new)
+181        self.clear_cache()
+182
+183    @property
+184    def tables(self):
+185        """
+186        List of tables in this scope.
+187
+188        Returns:
+189            list[exp.Table]: tables
+190        """
+191        self._ensure_collected()
+192        return self._tables
+193
+194    @property
+195    def ctes(self):
+196        """
+197        List of CTEs in this scope.
+198
+199        Returns:
+200            list[exp.CTE]: ctes
+201        """
+202        self._ensure_collected()
+203        return self._ctes
+204
+205    @property
+206    def derived_tables(self):
+207        """
+208        List of derived tables in this scope.
+209
+210        For example:
+211            SELECT * FROM (SELECT ...) <- that's a derived table
+212
+213        Returns:
+214            list[exp.Subquery]: derived tables
+215        """
+216        self._ensure_collected()
+217        return self._derived_tables
+218
+219    @property
+220    def udtfs(self):
+221        """
+222        List of "User Defined Tabular Functions" in this scope.
+223
+224        Returns:
+225            list[exp.UDTF]: UDTFs
+226        """
+227        self._ensure_collected()
+228        return self._udtfs
+229
+230    @property
+231    def subqueries(self):
+232        """
+233        List of subqueries in this scope.
+234
+235        For example:
+236            SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery
+237
+238        Returns:
+239            list[exp.Subqueryable]: subqueries
+240        """
+241        self._ensure_collected()
+242        return self._subqueries
+243
+244    @property
+245    def columns(self):
+246        """
+247        List of columns in this scope.
+248
+249        Returns:
+250            list[exp.Column]: Column instances in this scope, plus any
+251                Columns that reference this scope from correlated subqueries.
+252        """
+253        if self._columns is None:
+254            self._ensure_collected()
+255            columns = self._raw_columns
+256
+257            external_columns = [
+258                column
+259                for scope in itertools.chain(self.subquery_scopes, self.udtf_scopes)
+260                for column in scope.external_columns
+261            ]
+262
+263            named_selects = set(self.expression.named_selects)
+264
+265            self._columns = []
+266            for column in columns + external_columns:
+267                ancestor = column.find_ancestor(
+268                    exp.Select, exp.Qualify, exp.Order, exp.Having, exp.Hint
+269                )
+270                if (
+271                    not ancestor
+272                    or column.table
+273                    or isinstance(ancestor, exp.Select)
+274                    or (isinstance(ancestor, exp.Order) and isinstance(ancestor.parent, exp.Window))
+275                    or (column.name not in named_selects and not isinstance(ancestor, exp.Hint))
+276                ):
+277                    self._columns.append(column)
+278
+279        return self._columns
+280
+281    @property
+282    def selected_sources(self):
+283        """
+284        Mapping of nodes and sources that are actually selected from in this scope.
+285
+286        That is, all tables in a schema are selectable at any point. But a
+287        table only becomes a selected source if it's included in a FROM or JOIN clause.
+288
+289        Returns:
+290            dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes
+291        """
+292        if self._selected_sources is None:
+293            referenced_names = []
+294
+295            for table in self.tables:
+296                referenced_names.append((table.alias_or_name, table))
+297            for expression in itertools.chain(self.derived_tables, self.udtfs):
+298                referenced_names.append((expression.alias, expression.unnest()))
+299            result = {}
+300
+301            for name, node in referenced_names:
+302                if name in result:
+303                    raise OptimizeError(f"Alias already used: {name}")
+304                if name in self.sources:
+305                    result[name] = (node, self.sources[name])
+306
+307            self._selected_sources = result
+308        return self._selected_sources
+309
+310    @property
+311    def cte_sources(self):
+312        """
+313        Sources that are CTEs.
+314
+315        Returns:
+316            dict[str, Scope]: Mapping of source alias to Scope
+317        """
+318        return {
+319            alias: scope
+320            for alias, scope in self.sources.items()
+321            if isinstance(scope, Scope) and scope.is_cte
+322        }
+323
+324    @property
+325    def selects(self):
+326        """
+327        Select expressions of this scope.
+328
+329        For example, for the following expression:
+330            SELECT 1 as a, 2 as b FROM x
+331
+332        The outputs are the "1 as a" and "2 as b" expressions.
+333
+334        Returns:
+335            list[exp.Expression]: expressions
+336        """
+337        if isinstance(self.expression, exp.Union):
+338            return self.expression.unnest().selects
+339        return self.expression.selects
+340
+341    @property
+342    def external_columns(self):
+343        """
+344        Columns that appear to reference sources in outer scopes.
+345
+346        Returns:
+347            list[exp.Column]: Column instances that don't reference
+348                sources in the current scope.
+349        """
+350        if self._external_columns is None:
+351            self._external_columns = [
+352                c for c in self.columns if c.table not in self.selected_sources
+353            ]
+354        return self._external_columns
+355
+356    @property
+357    def unqualified_columns(self):
+358        """
+359        Unqualified columns in the current scope.
+360
+361        Returns:
+362             list[exp.Column]: Unqualified columns
+363        """
+364        return [c for c in self.columns if not c.table]
+365
+366    @property
+367    def join_hints(self):
+368        """
+369        Hints that exist in the scope that reference tables
+370
+371        Returns:
+372            list[exp.JoinHint]: Join hints that are referenced within the scope
+373        """
+374        if self._join_hints is None:
+375            return []
+376        return self._join_hints
+377
+378    @property
+379    def pivots(self):
+380        if not self._pivots:
+381            self._pivots = [
+382                pivot
+383                for node in self.tables + self.derived_tables
+384                for pivot in node.args.get("pivots") or []
+385            ]
+386
+387        return self._pivots
+388
+389    def source_columns(self, source_name):
+390        """
+391        Get all columns in the current scope for a particular source.
+392
+393        Args:
+394            source_name (str): Name of the source
+395        Returns:
+396            list[exp.Column]: Column instances that reference `source_name`
+397        """
+398        return [column for column in self.columns if column.table == source_name]
+399
+400    @property
+401    def is_subquery(self):
+402        """Determine if this scope is a subquery"""
+403        return self.scope_type == ScopeType.SUBQUERY
+404
+405    @property
+406    def is_derived_table(self):
+407        """Determine if this scope is a derived table"""
+408        return self.scope_type == ScopeType.DERIVED_TABLE
+409
+410    @property
+411    def is_union(self):
+412        """Determine if this scope is a union"""
+413        return self.scope_type == ScopeType.UNION
+414
+415    @property
+416    def is_cte(self):
+417        """Determine if this scope is a common table expression"""
+418        return self.scope_type == ScopeType.CTE
+419
+420    @property
+421    def is_root(self):
+422        """Determine if this is the root scope"""
+423        return self.scope_type == ScopeType.ROOT
+424
+425    @property
+426    def is_udtf(self):
+427        """Determine if this scope is a UDTF (User Defined Table Function)"""
+428        return self.scope_type == ScopeType.UDTF
+429
+430    @property
+431    def is_correlated_subquery(self):
+432        """Determine if this scope is a correlated subquery"""
+433        return bool(self.is_subquery and self.external_columns)
+434
+435    def rename_source(self, old_name, new_name):
+436        """Rename a source in this scope"""
+437        columns = self.sources.pop(old_name or "", [])
+438        self.sources[new_name] = columns
+439
+440    def add_source(self, name, source):
+441        """Add a source to this scope"""
+442        self.sources[name] = source
+443        self.clear_cache()
+444
+445    def remove_source(self, name):
+446        """Remove a source from this scope"""
+447        self.sources.pop(name, None)
+448        self.clear_cache()
+449
+450    def __repr__(self):
+451        return f"Scope<{self.expression.sql()}>"
+452
+453    def traverse(self):
+454        """
+455        Traverse the scope tree from this node.
+456
+457        Yields:
+458            Scope: scope instances in depth-first-search post-order
+459        """
+460        for child_scope in itertools.chain(
+461            self.cte_scopes, self.union_scopes, self.table_scopes, self.subquery_scopes
+462        ):
+463            yield from child_scope.traverse()
+464        yield self
+465
+466    def ref_count(self):
+467        """
+468        Count the number of times each scope in this tree is referenced.
+469
+470        Returns:
+471            dict[int, int]: Mapping of Scope instance ID to reference count
+472        """
+473        scope_ref_count = defaultdict(lambda: 0)
+474
+475        for scope in self.traverse():
+476            for _, source in scope.selected_sources.values():
+477                scope_ref_count[id(source)] += 1
+478
+479        return scope_ref_count
 
    
 
 
@@ -1519,29 +1525,29 @@ 
    Attributes:
    
 
     
    
     
-            
    51    def __init__(
-52        self,
-53        expression,
-54        sources=None,
-55        outer_column_list=None,
-56        parent=None,
-57        scope_type=ScopeType.ROOT,
-58        lateral_sources=None,
-59    ):
-60        self.expression = expression
-61        self.sources = sources or {}
-62        self.lateral_sources = lateral_sources.copy() if lateral_sources else {}
-63        self.sources.update(self.lateral_sources)
-64        self.outer_column_list = outer_column_list or []
-65        self.parent = parent
-66        self.scope_type = scope_type
-67        self.subquery_scopes = []
-68        self.derived_table_scopes = []
-69        self.table_scopes = []
-70        self.cte_scopes = []
-71        self.union_scopes = []
-72        self.udtf_scopes = []
-73        self.clear_cache()
+            
    52    def __init__(
+53        self,
+54        expression,
+55        sources=None,
+56        outer_column_list=None,
+57        parent=None,
+58        scope_type=ScopeType.ROOT,
+59        lateral_sources=None,
+60    ):
+61        self.expression = expression
+62        self.sources = sources or {}
+63        self.lateral_sources = lateral_sources.copy() if lateral_sources else {}
+64        self.sources.update(self.lateral_sources)
+65        self.outer_column_list = outer_column_list or []
+66        self.parent = parent
+67        self.scope_type = scope_type
+68        self.subquery_scopes = []
+69        self.derived_table_scopes = []
+70        self.table_scopes = []
+71        self.cte_scopes = []
+72        self.union_scopes = []
+73        self.udtf_scopes = []
+74        self.clear_cache()
 
    
 
 
@@ -1559,19 +1565,19 @@ 
    Attributes:
    
 
     
    
     
-            
    75    def clear_cache(self):
-76        self._collected = False
-77        self._raw_columns = None
-78        self._derived_tables = None
-79        self._udtfs = None
-80        self._tables = None
-81        self._ctes = None
-82        self._subqueries = None
-83        self._selected_sources = None
-84        self._columns = None
-85        self._external_columns = None
-86        self._join_hints = None
-87        self._pivots = None
+            
    76    def clear_cache(self):
+77        self._collected = False
+78        self._raw_columns = None
+79        self._derived_tables = None
+80        self._udtfs = None
+81        self._tables = None
+82        self._ctes = None
+83        self._subqueries = None
+84        self._selected_sources = None
+85        self._columns = None
+86        self._external_columns = None
+87        self._join_hints = None
+88        self._pivots = None
 
    
 
 
@@ -1589,15 +1595,15 @@ 
    Attributes:
    
 
     
    
     
-            
    89    def branch(self, expression, scope_type, chain_sources=None, **kwargs):
-90        """Branch from the current scope to a new, inner scope"""
-91        return Scope(
-92            expression=expression.unnest(),
-93            sources={**self.cte_sources, **(chain_sources or {})},
-94            parent=self,
-95            scope_type=scope_type,
-96            **kwargs,
-97        )
+            
    90    def branch(self, expression, scope_type, chain_sources=None, **kwargs):
+91        """Branch from the current scope to a new, inner scope"""
+92        return Scope(
+93            expression=expression.unnest(),
+94            sources={**self.cte_sources, **(chain_sources or {})},
+95            parent=self,
+96            scope_type=scope_type,
+97            **kwargs,
+98        )
 
    
 
 
@@ -1617,8 +1623,8 @@ 
    Attributes:
    
 
     
    
     
-            
    132    def walk(self, bfs=True):
-133        return walk_in_scope(self.expression, bfs=bfs)
+            
    133    def walk(self, bfs=True):
+134        return walk_in_scope(self.expression, bfs=bfs)
 
    
 
 
@@ -1636,21 +1642,21 @@ 
    Attributes:
    
 
     
    
     
-            
    135    def find(self, *expression_types, bfs=True):
-136        """
-137        Returns the first node in this scope which matches at least one of the specified types.
-138
-139        This does NOT traverse into subscopes.
-140
-141        Args:
-142            expression_types (type): the expression type(s) to match.
-143            bfs (bool): True to use breadth-first search, False to use depth-first.
-144
-145        Returns:
-146            exp.Expression: the node which matches the criteria or None if no node matching
-147            the criteria was found.
-148        """
-149        return next(self.find_all(*expression_types, bfs=bfs), None)
+            
    136    def find(self, *expression_types, bfs=True):
+137        """
+138        Returns the first node in this scope which matches at least one of the specified types.
+139
+140        This does NOT traverse into subscopes.
+141
+142        Args:
+143            expression_types (type): the expression type(s) to match.
+144            bfs (bool): True to use breadth-first search, False to use depth-first.
+145
+146        Returns:
+147            exp.Expression: the node which matches the criteria or None if no node matching
+148            the criteria was found.
+149        """
+150        return next(self.find_all(*expression_types, bfs=bfs), None)
 
    
 
 
@@ -1686,23 +1692,23 @@ 
    Returns:
    
 
     
    
     
-            
    151    def find_all(self, *expression_types, bfs=True):
-152        """
-153        Returns a generator object which visits all nodes in this scope and only yields those that
-154        match at least one of the specified expression types.
-155
-156        This does NOT traverse into subscopes.
-157
-158        Args:
-159            expression_types (type): the expression type(s) to match.
-160            bfs (bool): True to use breadth-first search, False to use depth-first.
-161
-162        Yields:
-163            exp.Expression: nodes
-164        """
-165        for expression, *_ in self.walk(bfs=bfs):
-166            if isinstance(expression, expression_types):
-167                yield expression
+            
    152    def find_all(self, *expression_types, bfs=True):
+153        """
+154        Returns a generator object which visits all nodes in this scope and only yields those that
+155        match at least one of the specified expression types.
+156
+157        This does NOT traverse into subscopes.
+158
+159        Args:
+160            expression_types (type): the expression type(s) to match.
+161            bfs (bool): True to use breadth-first search, False to use depth-first.
+162
+163        Yields:
+164            exp.Expression: nodes
+165        """
+166        for expression, *_ in self.walk(bfs=bfs):
+167            if isinstance(expression, expression_types):
+168                yield expression
 
    
 
 
@@ -1738,18 +1744,18 @@ 
    Yields:
    
 
     
    
     
-            
    169    def replace(self, old, new):
-170        """
-171        Replace `old` with `new`.
-172
-173        This can be used instead of `exp.Expression.replace` to ensure the `Scope` is kept up-to-date.
-174
-175        Args:
-176            old (exp.Expression): old node
-177            new (exp.Expression): new node
-178        """
-179        old.replace(new)
-180        self.clear_cache()
+            
    170    def replace(self, old, new):
+171        """
+172        Replace `old` with `new`.
+173
+174        This can be used instead of `exp.Expression.replace` to ensure the `Scope` is kept up-to-date.
+175
+176        Args:
+177            old (exp.Expression): old node
+178            new (exp.Expression): new node
+179        """
+180        old.replace(new)
+181        self.clear_cache()
 
    
 
 
@@ -2028,16 +2034,16 @@ 
    Returns:
    
 
     
    
     
-            
    388    def source_columns(self, source_name):
-389        """
-390        Get all columns in the current scope for a particular source.
-391
-392        Args:
-393            source_name (str): Name of the source
-394        Returns:
-395            list[exp.Column]: Column instances that reference `source_name`
-396        """
-397        return [column for column in self.columns if column.table == source_name]
+            
    389    def source_columns(self, source_name):
+390        """
+391        Get all columns in the current scope for a particular source.
+392
+393        Args:
+394            source_name (str): Name of the source
+395        Returns:
+396            list[exp.Column]: Column instances that reference `source_name`
+397        """
+398        return [column for column in self.columns if column.table == source_name]
 
    
 
 
@@ -2160,10 +2166,10 @@ 
    Returns:
    
 
     
    
     
-            
    434    def rename_source(self, old_name, new_name):
-435        """Rename a source in this scope"""
-436        columns = self.sources.pop(old_name or "", [])
-437        self.sources[new_name] = columns
+            
    435    def rename_source(self, old_name, new_name):
+436        """Rename a source in this scope"""
+437        columns = self.sources.pop(old_name or "", [])
+438        self.sources[new_name] = columns
 
    
 
 
@@ -2183,10 +2189,10 @@ 
    Returns:
    
 
     
    
     
-            
    439    def add_source(self, name, source):
-440        """Add a source to this scope"""
-441        self.sources[name] = source
-442        self.clear_cache()
+            
    440    def add_source(self, name, source):
+441        """Add a source to this scope"""
+442        self.sources[name] = source
+443        self.clear_cache()
 
    
 
 
@@ -2206,10 +2212,10 @@ 
    Returns:
    
 
     
    
     
-            
    444    def remove_source(self, name):
-445        """Remove a source from this scope"""
-446        self.sources.pop(name, None)
-447        self.clear_cache()
+            
    445    def remove_source(self, name):
+446        """Remove a source from this scope"""
+447        self.sources.pop(name, None)
+448        self.clear_cache()
 
    
 
 
@@ -2229,18 +2235,18 @@ 
    Returns:
    
 
     
    
     
-            
    452    def traverse(self):
-453        """
-454        Traverse the scope tree from this node.
-455
-456        Yields:
-457            Scope: scope instances in depth-first-search post-order
-458        """
-459        for child_scope in itertools.chain(
-460            self.cte_scopes, self.union_scopes, self.table_scopes, self.subquery_scopes
-461        ):
-462            yield from child_scope.traverse()
-463        yield self
+            
    453    def traverse(self):
+454        """
+455        Traverse the scope tree from this node.
+456
+457        Yields:
+458            Scope: scope instances in depth-first-search post-order
+459        """
+460        for child_scope in itertools.chain(
+461            self.cte_scopes, self.union_scopes, self.table_scopes, self.subquery_scopes
+462        ):
+463            yield from child_scope.traverse()
+464        yield self
 
    
 
 
@@ -2266,20 +2272,20 @@ 
    Yields:
    
 
     
    
     
-            
    465    def ref_count(self):
-466        """
-467        Count the number of times each scope in this tree is referenced.
-468
-469        Returns:
-470            dict[int, int]: Mapping of Scope instance ID to reference count
-471        """
-472        scope_ref_count = defaultdict(lambda: 0)
-473
-474        for scope in self.traverse():
-475            for _, source in scope.selected_sources.values():
-476                scope_ref_count[id(source)] += 1
-477
-478        return scope_ref_count
+            
    466    def ref_count(self):
+467        """
+468        Count the number of times each scope in this tree is referenced.
+469
+470        Returns:
+471            dict[int, int]: Mapping of Scope instance ID to reference count
+472        """
+473        scope_ref_count = defaultdict(lambda: 0)
+474
+475        for scope in self.traverse():
+476            for _, source in scope.selected_sources.values():
+477                scope_ref_count[id(source)] += 1
+478
+479        return scope_ref_count
 
    
 
 
@@ -2300,38 +2306,40 @@ 
    Returns:
    
 
    
             
         def
-        traverse_scope(expression):
+        traverse_scope(	expression: sqlglot.expressions.Expression) -> List[sqlglot.optimizer.scope.Scope]:
 
                 
 
     
    
     
-            
    481def traverse_scope(expression):
-482    """
-483    Traverse an expression by it's "scopes".
-484
-485    "Scope" represents the current context of a Select statement.
-486
-487    This is helpful for optimizing queries, where we need more information than
-488    the expression tree itself. For example, we might care about the source
-489    names within a subquery. Returns a list because a generator could result in
-490    incomplete properties which is confusing.
-491
-492    Examples:
-493        >>> import sqlglot
-494        >>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")
-495        >>> scopes = traverse_scope(expression)
-496        >>> scopes[0].expression.sql(), list(scopes[0].sources)
-497        ('SELECT a FROM x', ['x'])
-498        >>> scopes[1].expression.sql(), list(scopes[1].sources)
-499        ('SELECT a FROM (SELECT a FROM x) AS y', ['y'])
-500
-501    Args:
-502        expression (exp.Expression): expression to traverse
-503    Returns:
-504        list[Scope]: scope instances
-505    """
-506    return list(_traverse_scope(Scope(expression)))
+            
    482def traverse_scope(expression: exp.Expression) -> t.List[Scope]:
+483    """
+484    Traverse an expression by it's "scopes".
+485
+486    "Scope" represents the current context of a Select statement.
+487
+488    This is helpful for optimizing queries, where we need more information than
+489    the expression tree itself. For example, we might care about the source
+490    names within a subquery. Returns a list because a generator could result in
+491    incomplete properties which is confusing.
+492
+493    Examples:
+494        >>> import sqlglot
+495        >>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")
+496        >>> scopes = traverse_scope(expression)
+497        >>> scopes[0].expression.sql(), list(scopes[0].sources)
+498        ('SELECT a FROM x', ['x'])
+499        >>> scopes[1].expression.sql(), list(scopes[1].sources)
+500        ('SELECT a FROM (SELECT a FROM x) AS y', ['y'])
+501
+502    Args:
+503        expression (exp.Expression): expression to traverse
+504    Returns:
+505        list[Scope]: scope instances
+506    """
+507    if not isinstance(expression, exp.Unionable):
+508        return []
+509    return list(_traverse_scope(Scope(expression)))
 
    
 
 
@@ -2379,22 +2387,25 @@ 
    Returns:
    
 
    
             
         def
-        build_scope(expression):
+        build_scope(	expression: sqlglot.expressions.Expression) -> Optional[sqlglot.optimizer.scope.Scope]:
 
                 
 
     
    
     
-            
    509def build_scope(expression):
-510    """
-511    Build a scope tree.
-512
-513    Args:
-514        expression (exp.Expression): expression to build the scope tree for
-515    Returns:
-516        Scope: root scope
-517    """
-518    return traverse_scope(expression)[-1]
+            
    512def build_scope(expression: exp.Expression) -> t.Optional[Scope]:
+513    """
+514    Build a scope tree.
+515
+516    Args:
+517        expression (exp.Expression): expression to build the scope tree for
+518    Returns:
+519        Scope: root scope
+520    """
+521    scopes = traverse_scope(expression)
+522    if scopes:
+523        return scopes[-1]
+524    return None
 
    
 
 
@@ -2426,37 +2437,37 @@ 
    Returns:
    
 
     
    
     
-            
    674def walk_in_scope(expression, bfs=True):
-675    """
-676    Returns a generator object which visits all nodes in the syntrax tree, stopping at
-677    nodes that start child scopes.
-678
-679    Args:
-680        expression (exp.Expression):
-681        bfs (bool): if set to True the BFS traversal order will be applied,
-682            otherwise the DFS traversal will be used instead.
-683
-684    Yields:
-685        tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key
-686    """
-687    # We'll use this variable to pass state into the dfs generator.
-688    # Whenever we set it to True, we exclude a subtree from traversal.
-689    prune = False
-690
-691    for node, parent, key in expression.walk(bfs=bfs, prune=lambda *_: prune):
-692        prune = False
-693
-694        yield node, parent, key
-695
-696        if node is expression:
-697            continue
-698        if (
-699            isinstance(node, exp.CTE)
-700            or (isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)))
-701            or isinstance(node, exp.UDTF)
-702            or isinstance(node, exp.Subqueryable)
-703        ):
-704            prune = True
+            
    680def walk_in_scope(expression, bfs=True):
+681    """
+682    Returns a generator object which visits all nodes in the syntrax tree, stopping at
+683    nodes that start child scopes.
+684
+685    Args:
+686        expression (exp.Expression):
+687        bfs (bool): if set to True the BFS traversal order will be applied,
+688            otherwise the DFS traversal will be used instead.
+689
+690    Yields:
+691        tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key
+692    """
+693    # We'll use this variable to pass state into the dfs generator.
+694    # Whenever we set it to True, we exclude a subtree from traversal.
+695    prune = False
+696
+697    for node, parent, key in expression.walk(bfs=bfs, prune=lambda *_: prune):
+698        prune = False
+699
+700        yield node, parent, key
+701
+702        if node is expression:
+703            continue
+704        if (
+705            isinstance(node, exp.CTE)
+706            or (isinstance(node, exp.Subquery) and isinstance(parent, (exp.From, exp.Join)))
+707            or isinstance(node, exp.UDTF)
+708            or isinstance(node, exp.Subqueryable)
+709        ):
+710            prune = True
 
    
 
 
diff --git a/docs/sqlglot/parser.html b/docs/sqlglot/parser.html
index e982d16bbe..f481effa3a 100644
--- a/docs/sqlglot/parser.html
+++ b/docs/sqlglot/parser.html
@@ -104,4532 +104,4547 @@ 
    
   10from sqlglot.tokens import Token, Tokenizer, TokenType
   11from sqlglot.trie import in_trie, new_trie
   12
-  13logger = logging.getLogger("sqlglot")
-  14
-  15E = t.TypeVar("E", bound=exp.Expression)
-  16
+  13if t.TYPE_CHECKING:
+  14    from sqlglot._typing import E
+  15
+  16logger = logging.getLogger("sqlglot")
   17
-  18def parse_var_map(args: t.Sequence) -> exp.Expression:
-  19    if len(args) == 1 and args[0].is_star:
-  20        return exp.StarMap(this=args[0])
-  21
-  22    keys = []
-  23    values = []
-  24    for i in range(0, len(args), 2):
-  25        keys.append(args[i])
-  26        values.append(args[i + 1])
-  27    return exp.VarMap(
-  28        keys=exp.Array(expressions=keys),
-  29        values=exp.Array(expressions=values),
-  30    )
-  31
+  18
+  19def parse_var_map(args: t.List) -> exp.Expression:
+  20    if len(args) == 1 and args[0].is_star:
+  21        return exp.StarMap(this=args[0])
+  22
+  23    keys = []
+  24    values = []
+  25    for i in range(0, len(args), 2):
+  26        keys.append(args[i])
+  27        values.append(args[i + 1])
+  28    return exp.VarMap(
+  29        keys=exp.Array(expressions=keys),
+  30        values=exp.Array(expressions=values),
+  31    )
   32
-  33def parse_like(args):
-  34    like = exp.Like(this=seq_get(args, 1), expression=seq_get(args, 0))
-  35    return exp.Escape(this=like, expression=seq_get(args, 2)) if len(args) > 2 else like
-  36
+  33
+  34def parse_like(args: t.List) -> exp.Expression:
+  35    like = exp.Like(this=seq_get(args, 1), expression=seq_get(args, 0))
+  36    return exp.Escape(this=like, expression=seq_get(args, 2)) if len(args) > 2 else like
   37
-  38def binary_range_parser(
-  39    expr_type: t.Type[exp.Expression],
-  40) -> t.Callable[[Parser, t.Optional[exp.Expression]], t.Optional[exp.Expression]]:
-  41    return lambda self, this: self._parse_escape(
-  42        self.expression(expr_type, this=this, expression=self._parse_bitwise())
-  43    )
-  44
+  38
+  39def binary_range_parser(
+  40    expr_type: t.Type[exp.Expression],
+  41) -> t.Callable[[Parser, t.Optional[exp.Expression]], t.Optional[exp.Expression]]:
+  42    return lambda self, this: self._parse_escape(
+  43        self.expression(expr_type, this=this, expression=self._parse_bitwise())
+  44    )
   45
-  46class _Parser(type):
-  47    def __new__(cls, clsname, bases, attrs):
-  48        klass = super().__new__(cls, clsname, bases, attrs)
-  49        klass._show_trie = new_trie(key.split(" ") for key in klass.SHOW_PARSERS)
-  50        klass._set_trie = new_trie(key.split(" ") for key in klass.SET_PARSERS)
-  51
-  52        return klass
-  53
+  46
+  47class _Parser(type):
+  48    def __new__(cls, clsname, bases, attrs):
+  49        klass = super().__new__(cls, clsname, bases, attrs)
+  50        klass._show_trie = new_trie(key.split(" ") for key in klass.SHOW_PARSERS)
+  51        klass._set_trie = new_trie(key.split(" ") for key in klass.SET_PARSERS)
+  52
+  53        return klass
   54
-  55class Parser(metaclass=_Parser):
-  56    """
-  57    Parser consumes a list of tokens produced by the `sqlglot.tokens.Tokenizer` and produces
-  58    a parsed syntax tree.
-  59
-  60    Args:
-  61        error_level: the desired error level.
-  62            Default: ErrorLevel.RAISE
-  63        error_message_context: determines the amount of context to capture from a
-  64            query string when displaying the error message (in number of characters).
-  65            Default: 50.
-  66        index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.
-  67            Default: 0
-  68        alias_post_tablesample: If the table alias comes after tablesample.
-  69            Default: False
-  70        max_errors: Maximum number of error messages to include in a raised ParseError.
-  71            This is only relevant if error_level is ErrorLevel.RAISE.
-  72            Default: 3
-  73        null_ordering: Indicates the default null ordering method to use if not explicitly set.
-  74            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
-  75            Default: "nulls_are_small"
-  76    """
-  77
-  78    FUNCTIONS: t.Dict[str, t.Callable] = {
-  79        **{name: f.from_arg_list for f in exp.ALL_FUNCTIONS for name in f.sql_names()},
-  80        "DATE_TO_DATE_STR": lambda args: exp.Cast(
-  81            this=seq_get(args, 0),
-  82            to=exp.DataType(this=exp.DataType.Type.TEXT),
-  83        ),
-  84        "GLOB": lambda args: exp.Glob(this=seq_get(args, 1), expression=seq_get(args, 0)),
-  85        "IFNULL": exp.Coalesce.from_arg_list,
-  86        "LIKE": parse_like,
-  87        "TIME_TO_TIME_STR": lambda args: exp.Cast(
-  88            this=seq_get(args, 0),
-  89            to=exp.DataType(this=exp.DataType.Type.TEXT),
-  90        ),
-  91        "TS_OR_DS_TO_DATE_STR": lambda args: exp.Substring(
-  92            this=exp.Cast(
-  93                this=seq_get(args, 0),
-  94                to=exp.DataType(this=exp.DataType.Type.TEXT),
-  95            ),
-  96            start=exp.Literal.number(1),
-  97            length=exp.Literal.number(10),
-  98        ),
-  99        "VAR_MAP": parse_var_map,
- 100    }
- 101
- 102    NO_PAREN_FUNCTIONS = {
- 103        TokenType.CURRENT_DATE: exp.CurrentDate,
- 104        TokenType.CURRENT_DATETIME: exp.CurrentDate,
- 105        TokenType.CURRENT_TIME: exp.CurrentTime,
- 106        TokenType.CURRENT_TIMESTAMP: exp.CurrentTimestamp,
- 107        TokenType.CURRENT_USER: exp.CurrentUser,
- 108    }
- 109
- 110    JOIN_HINTS: t.Set[str] = set()
- 111
- 112    NESTED_TYPE_TOKENS = {
- 113        TokenType.ARRAY,
- 114        TokenType.MAP,
- 115        TokenType.NULLABLE,
- 116        TokenType.STRUCT,
- 117    }
- 118
- 119    TYPE_TOKENS = {
- 120        TokenType.BIT,
- 121        TokenType.BOOLEAN,
- 122        TokenType.TINYINT,
- 123        TokenType.UTINYINT,
- 124        TokenType.SMALLINT,
- 125        TokenType.USMALLINT,
- 126        TokenType.INT,
- 127        TokenType.UINT,
- 128        TokenType.BIGINT,
- 129        TokenType.UBIGINT,
- 130        TokenType.INT128,
- 131        TokenType.UINT128,
- 132        TokenType.INT256,
- 133        TokenType.UINT256,
- 134        TokenType.FLOAT,
- 135        TokenType.DOUBLE,
- 136        TokenType.CHAR,
- 137        TokenType.NCHAR,
- 138        TokenType.VARCHAR,
- 139        TokenType.NVARCHAR,
- 140        TokenType.TEXT,
- 141        TokenType.MEDIUMTEXT,
- 142        TokenType.LONGTEXT,
- 143        TokenType.MEDIUMBLOB,
- 144        TokenType.LONGBLOB,
- 145        TokenType.BINARY,
- 146        TokenType.VARBINARY,
- 147        TokenType.JSON,
- 148        TokenType.JSONB,
- 149        TokenType.INTERVAL,
- 150        TokenType.TIME,
- 151        TokenType.TIMESTAMP,
- 152        TokenType.TIMESTAMPTZ,
- 153        TokenType.TIMESTAMPLTZ,
- 154        TokenType.DATETIME,
- 155        TokenType.DATETIME64,
- 156        TokenType.DATE,
- 157        TokenType.DECIMAL,
- 158        TokenType.BIGDECIMAL,
- 159        TokenType.UUID,
- 160        TokenType.GEOGRAPHY,
- 161        TokenType.GEOMETRY,
- 162        TokenType.HLLSKETCH,
- 163        TokenType.HSTORE,
- 164        TokenType.PSEUDO_TYPE,
- 165        TokenType.SUPER,
- 166        TokenType.SERIAL,
- 167        TokenType.SMALLSERIAL,
- 168        TokenType.BIGSERIAL,
- 169        TokenType.XML,
- 170        TokenType.UNIQUEIDENTIFIER,
- 171        TokenType.MONEY,
- 172        TokenType.SMALLMONEY,
- 173        TokenType.ROWVERSION,
- 174        TokenType.IMAGE,
- 175        TokenType.VARIANT,
- 176        TokenType.OBJECT,
- 177        TokenType.INET,
- 178        *NESTED_TYPE_TOKENS,
- 179    }
- 180
- 181    SUBQUERY_PREDICATES = {
- 182        TokenType.ANY: exp.Any,
- 183        TokenType.ALL: exp.All,
- 184        TokenType.EXISTS: exp.Exists,
- 185        TokenType.SOME: exp.Any,
- 186    }
- 187
- 188    RESERVED_KEYWORDS = {*Tokenizer.SINGLE_TOKENS.values(), TokenType.SELECT}
- 189
- 190    DB_CREATABLES = {
- 191        TokenType.DATABASE,
- 192        TokenType.SCHEMA,
- 193        TokenType.TABLE,
- 194        TokenType.VIEW,
- 195    }
- 196
- 197    CREATABLES = {
- 198        TokenType.COLUMN,
- 199        TokenType.FUNCTION,
- 200        TokenType.INDEX,
- 201        TokenType.PROCEDURE,
- 202        *DB_CREATABLES,
- 203    }
- 204
- 205    ID_VAR_TOKENS = {
- 206        TokenType.VAR,
- 207        TokenType.ANTI,
- 208        TokenType.APPLY,
- 209        TokenType.ASC,
- 210        TokenType.AUTO_INCREMENT,
- 211        TokenType.BEGIN,
- 212        TokenType.CACHE,
- 213        TokenType.COLLATE,
- 214        TokenType.COMMAND,
- 215        TokenType.COMMENT,
- 216        TokenType.COMMIT,
- 217        TokenType.CONSTRAINT,
- 218        TokenType.DEFAULT,
- 219        TokenType.DELETE,
- 220        TokenType.DESC,
- 221        TokenType.DESCRIBE,
- 222        TokenType.DIV,
- 223        TokenType.END,
- 224        TokenType.EXECUTE,
- 225        TokenType.ESCAPE,
- 226        TokenType.FALSE,
- 227        TokenType.FIRST,
- 228        TokenType.FILTER,
- 229        TokenType.FORMAT,
- 230        TokenType.FULL,
- 231        TokenType.IF,
- 232        TokenType.IS,
- 233        TokenType.ISNULL,
- 234        TokenType.INTERVAL,
- 235        TokenType.KEEP,
- 236        TokenType.LEFT,
- 237        TokenType.LOAD,
- 238        TokenType.MERGE,
- 239        TokenType.NATURAL,
- 240        TokenType.NEXT,
- 241        TokenType.OFFSET,
- 242        TokenType.ORDINALITY,
- 243        TokenType.OVERWRITE,
- 244        TokenType.PARTITION,
- 245        TokenType.PERCENT,
- 246        TokenType.PIVOT,
- 247        TokenType.PRAGMA,
- 248        TokenType.RANGE,
- 249        TokenType.REFERENCES,
- 250        TokenType.RIGHT,
- 251        TokenType.ROW,
- 252        TokenType.ROWS,
- 253        TokenType.SEMI,
- 254        TokenType.SET,
- 255        TokenType.SETTINGS,
- 256        TokenType.SHOW,
- 257        TokenType.TEMPORARY,
- 258        TokenType.TOP,
- 259        TokenType.TRUE,
- 260        TokenType.UNIQUE,
- 261        TokenType.UNPIVOT,
- 262        TokenType.VOLATILE,
- 263        TokenType.WINDOW,
- 264        *CREATABLES,
- 265        *SUBQUERY_PREDICATES,
- 266        *TYPE_TOKENS,
- 267        *NO_PAREN_FUNCTIONS,
- 268    }
- 269
- 270    INTERVAL_VARS = ID_VAR_TOKENS - {TokenType.END}
- 271
- 272    TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - {
- 273        TokenType.APPLY,
- 274        TokenType.FULL,
- 275        TokenType.LEFT,
- 276        TokenType.LOCK,
- 277        TokenType.NATURAL,
- 278        TokenType.OFFSET,
- 279        TokenType.RIGHT,
- 280        TokenType.WINDOW,
- 281    }
- 282
- 283    COMMENT_TABLE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.IS}
- 284
- 285    UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET}
- 286
- 287    TRIM_TYPES = {"LEADING", "TRAILING", "BOTH"}
- 288
- 289    FUNC_TOKENS = {
- 290        TokenType.COMMAND,
- 291        TokenType.CURRENT_DATE,
- 292        TokenType.CURRENT_DATETIME,
- 293        TokenType.CURRENT_TIMESTAMP,
- 294        TokenType.CURRENT_TIME,
- 295        TokenType.CURRENT_USER,
- 296        TokenType.FILTER,
- 297        TokenType.FIRST,
- 298        TokenType.FORMAT,
- 299        TokenType.GLOB,
- 300        TokenType.IDENTIFIER,
- 301        TokenType.INDEX,
- 302        TokenType.ISNULL,
- 303        TokenType.ILIKE,
- 304        TokenType.LIKE,
- 305        TokenType.MERGE,
- 306        TokenType.OFFSET,
- 307        TokenType.PRIMARY_KEY,
- 308        TokenType.RANGE,
- 309        TokenType.REPLACE,
- 310        TokenType.ROW,
- 311        TokenType.UNNEST,
- 312        TokenType.VAR,
- 313        TokenType.LEFT,
- 314        TokenType.RIGHT,
- 315        TokenType.DATE,
- 316        TokenType.DATETIME,
- 317        TokenType.TABLE,
- 318        TokenType.TIMESTAMP,
- 319        TokenType.TIMESTAMPTZ,
- 320        TokenType.WINDOW,
- 321        *TYPE_TOKENS,
- 322        *SUBQUERY_PREDICATES,
- 323    }
- 324
- 325    CONJUNCTION = {
- 326        TokenType.AND: exp.And,
- 327        TokenType.OR: exp.Or,
- 328    }
- 329
- 330    EQUALITY = {
- 331        TokenType.EQ: exp.EQ,
- 332        TokenType.NEQ: exp.NEQ,
- 333        TokenType.NULLSAFE_EQ: exp.NullSafeEQ,
- 334    }
- 335
- 336    COMPARISON = {
- 337        TokenType.GT: exp.GT,
- 338        TokenType.GTE: exp.GTE,
- 339        TokenType.LT: exp.LT,
- 340        TokenType.LTE: exp.LTE,
- 341    }
- 342
- 343    BITWISE = {
- 344        TokenType.AMP: exp.BitwiseAnd,
- 345        TokenType.CARET: exp.BitwiseXor,
- 346        TokenType.PIPE: exp.BitwiseOr,
- 347        TokenType.DPIPE: exp.DPipe,
- 348    }
- 349
- 350    TERM = {
- 351        TokenType.DASH: exp.Sub,
- 352        TokenType.PLUS: exp.Add,
- 353        TokenType.MOD: exp.Mod,
- 354        TokenType.COLLATE: exp.Collate,
- 355    }
- 356
- 357    FACTOR = {
- 358        TokenType.DIV: exp.IntDiv,
- 359        TokenType.LR_ARROW: exp.Distance,
- 360        TokenType.SLASH: exp.Div,
- 361        TokenType.STAR: exp.Mul,
- 362    }
- 363
- 364    TIMESTAMPS = {
- 365        TokenType.TIME,
- 366        TokenType.TIMESTAMP,
- 367        TokenType.TIMESTAMPTZ,
- 368        TokenType.TIMESTAMPLTZ,
- 369    }
- 370
- 371    SET_OPERATIONS = {
- 372        TokenType.UNION,
- 373        TokenType.INTERSECT,
- 374        TokenType.EXCEPT,
- 375    }
- 376
- 377    JOIN_SIDES = {
- 378        TokenType.LEFT,
- 379        TokenType.RIGHT,
- 380        TokenType.FULL,
- 381    }
- 382
- 383    JOIN_KINDS = {
- 384        TokenType.INNER,
- 385        TokenType.OUTER,
- 386        TokenType.CROSS,
- 387        TokenType.SEMI,
- 388        TokenType.ANTI,
- 389    }
- 390
- 391    LAMBDAS = {
- 392        TokenType.ARROW: lambda self, expressions: self.expression(
- 393            exp.Lambda,
- 394            this=self._replace_lambda(
- 395                self._parse_conjunction(),
- 396                {node.name for node in expressions},
- 397            ),
- 398            expressions=expressions,
- 399        ),
- 400        TokenType.FARROW: lambda self, expressions: self.expression(
- 401            exp.Kwarg,
- 402            this=exp.Var(this=expressions[0].name),
- 403            expression=self._parse_conjunction(),
- 404        ),
- 405    }
- 406
- 407    COLUMN_OPERATORS = {
- 408        TokenType.DOT: None,
- 409        TokenType.DCOLON: lambda self, this, to: self.expression(
- 410            exp.Cast if self.STRICT_CAST else exp.TryCast,
- 411            this=this,
- 412            to=to,
- 413        ),
- 414        TokenType.ARROW: lambda self, this, path: self.expression(
- 415            exp.JSONExtract,
- 416            this=this,
- 417            expression=path,
- 418        ),
- 419        TokenType.DARROW: lambda self, this, path: self.expression(
- 420            exp.JSONExtractScalar,
- 421            this=this,
- 422            expression=path,
- 423        ),
- 424        TokenType.HASH_ARROW: lambda self, this, path: self.expression(
- 425            exp.JSONBExtract,
- 426            this=this,
- 427            expression=path,
- 428        ),
- 429        TokenType.DHASH_ARROW: lambda self, this, path: self.expression(
- 430            exp.JSONBExtractScalar,
- 431            this=this,
- 432            expression=path,
- 433        ),
- 434        TokenType.PLACEHOLDER: lambda self, this, key: self.expression(
- 435            exp.JSONBContains,
- 436            this=this,
- 437            expression=key,
- 438        ),
- 439    }
- 440
- 441    EXPRESSION_PARSERS = {
- 442        exp.Column: lambda self: self._parse_column(),
- 443        exp.DataType: lambda self: self._parse_types(),
- 444        exp.From: lambda self: self._parse_from(),
- 445        exp.Group: lambda self: self._parse_group(),
- 446        exp.Identifier: lambda self: self._parse_id_var(),
- 447        exp.Lateral: lambda self: self._parse_lateral(),
- 448        exp.Join: lambda self: self._parse_join(),
- 449        exp.Order: lambda self: self._parse_order(),
- 450        exp.Cluster: lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
- 451        exp.Sort: lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
- 452        exp.Lambda: lambda self: self._parse_lambda(),
- 453        exp.Limit: lambda self: self._parse_limit(),
- 454        exp.Offset: lambda self: self._parse_offset(),
- 455        exp.TableAlias: lambda self: self._parse_table_alias(),
- 456        exp.Table: lambda self: self._parse_table_parts(),
- 457        exp.Condition: lambda self: self._parse_conjunction(),
- 458        exp.Expression: lambda self: self._parse_statement(),
- 459        exp.Properties: lambda self: self._parse_properties(),
- 460        exp.Where: lambda self: self._parse_where(),
- 461        exp.Ordered: lambda self: self._parse_ordered(),
- 462        exp.Having: lambda self: self._parse_having(),
- 463        exp.With: lambda self: self._parse_with(),
- 464        exp.Window: lambda self: self._parse_named_window(),
- 465        exp.Qualify: lambda self: self._parse_qualify(),
- 466        exp.Returning: lambda self: self._parse_returning(),
- 467        "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(),
- 468    }
- 469
- 470    STATEMENT_PARSERS = {
- 471        TokenType.ALTER: lambda self: self._parse_alter(),
- 472        TokenType.BEGIN: lambda self: self._parse_transaction(),
- 473        TokenType.CACHE: lambda self: self._parse_cache(),
- 474        TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(),
- 475        TokenType.COMMENT: lambda self: self._parse_comment(),
- 476        TokenType.CREATE: lambda self: self._parse_create(),
- 477        TokenType.DELETE: lambda self: self._parse_delete(),
- 478        TokenType.DESC: lambda self: self._parse_describe(),
- 479        TokenType.DESCRIBE: lambda self: self._parse_describe(),
- 480        TokenType.DROP: lambda self: self._parse_drop(),
- 481        TokenType.END: lambda self: self._parse_commit_or_rollback(),
- 482        TokenType.INSERT: lambda self: self._parse_insert(),
- 483        TokenType.LOAD: lambda self: self._parse_load(),
- 484        TokenType.MERGE: lambda self: self._parse_merge(),
- 485        TokenType.PRAGMA: lambda self: self.expression(exp.Pragma, this=self._parse_expression()),
- 486        TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(),
- 487        TokenType.SET: lambda self: self._parse_set(),
- 488        TokenType.UNCACHE: lambda self: self._parse_uncache(),
- 489        TokenType.UPDATE: lambda self: self._parse_update(),
- 490        TokenType.USE: lambda self: self.expression(
- 491            exp.Use,
- 492            kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA"))
- 493            and exp.Var(this=self._prev.text),
- 494            this=self._parse_table(schema=False),
- 495        ),
- 496    }
- 497
- 498    UNARY_PARSERS = {
- 499        TokenType.PLUS: lambda self: self._parse_unary(),  # Unary + is handled as a no-op
- 500        TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()),
- 501        TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()),
- 502        TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()),
- 503    }
- 504
- 505    PRIMARY_PARSERS = {
- 506        TokenType.STRING: lambda self, token: self.expression(
- 507            exp.Literal, this=token.text, is_string=True
- 508        ),
- 509        TokenType.NUMBER: lambda self, token: self.expression(
- 510            exp.Literal, this=token.text, is_string=False
- 511        ),
- 512        TokenType.STAR: lambda self, _: self.expression(
- 513            exp.Star,
- 514            **{"except": self._parse_except(), "replace": self._parse_replace()},
- 515        ),
- 516        TokenType.NULL: lambda self, _: self.expression(exp.Null),
- 517        TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True),
- 518        TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False),
- 519        TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text),
- 520        TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text),
- 521        TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text),
- 522        TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token),
- 523        TokenType.NATIONAL: lambda self, token: self._parse_national(token),
- 524        TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(),
- 525    }
- 526
- 527    PLACEHOLDER_PARSERS = {
- 528        TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder),
- 529        TokenType.PARAMETER: lambda self: self._parse_parameter(),
- 530        TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text)
- 531        if self._match_set((TokenType.NUMBER, TokenType.VAR))
- 532        else None,
- 533    }
- 534
- 535    RANGE_PARSERS = {
- 536        TokenType.BETWEEN: lambda self, this: self._parse_between(this),
- 537        TokenType.GLOB: binary_range_parser(exp.Glob),
- 538        TokenType.ILIKE: binary_range_parser(exp.ILike),
- 539        TokenType.IN: lambda self, this: self._parse_in(this),
- 540        TokenType.IRLIKE: binary_range_parser(exp.RegexpILike),
- 541        TokenType.IS: lambda self, this: self._parse_is(this),
- 542        TokenType.LIKE: binary_range_parser(exp.Like),
- 543        TokenType.OVERLAPS: binary_range_parser(exp.Overlaps),
- 544        TokenType.RLIKE: binary_range_parser(exp.RegexpLike),
- 545        TokenType.SIMILAR_TO: binary_range_parser(exp.SimilarTo),
- 546    }
- 547
- 548    PROPERTY_PARSERS: t.Dict[str, t.Callable] = {
- 549        "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty),
- 550        "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty),
- 551        "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(),
- 552        "CHARACTER SET": lambda self: self._parse_character_set(),
- 553        "CHECKSUM": lambda self: self._parse_checksum(),
- 554        "CLUSTER": lambda self: self._parse_cluster(),
- 555        "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty),
- 556        "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty),
- 557        "DATABLOCKSIZE": lambda self, **kwargs: self._parse_datablocksize(**kwargs),
- 558        "DEFINER": lambda self: self._parse_definer(),
- 559        "DETERMINISTIC": lambda self: self.expression(
- 560            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
- 561        ),
- 562        "DISTKEY": lambda self: self._parse_distkey(),
- 563        "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty),
- 564        "ENGINE": lambda self: self._parse_property_assignment(exp.EngineProperty),
- 565        "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty),
- 566        "EXTERNAL": lambda self: self.expression(exp.ExternalProperty),
- 567        "FALLBACK": lambda self, **kwargs: self._parse_fallback(**kwargs),
- 568        "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
- 569        "FREESPACE": lambda self: self._parse_freespace(),
- 570        "IMMUTABLE": lambda self: self.expression(
- 571            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
- 572        ),
- 573        "JOURNAL": lambda self, **kwargs: self._parse_journal(**kwargs),
- 574        "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty),
- 575        "LIKE": lambda self: self._parse_create_like(),
- 576        "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty),
- 577        "LOCK": lambda self: self._parse_locking(),
- 578        "LOCKING": lambda self: self._parse_locking(),
- 579        "LOG": lambda self, **kwargs: self._parse_log(**kwargs),
- 580        "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty),
- 581        "MERGEBLOCKRATIO": lambda self, **kwargs: self._parse_mergeblockratio(**kwargs),
- 582        "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True),
- 583        "NO": lambda self: self._parse_no_property(),
- 584        "ON": lambda self: self._parse_on_property(),
- 585        "ORDER BY": lambda self: self._parse_order(skip_order_token=True),
- 586        "PARTITION BY": lambda self: self._parse_partitioned_by(),
- 587        "PARTITIONED BY": lambda self: self._parse_partitioned_by(),
- 588        "PARTITIONED_BY": lambda self: self._parse_partitioned_by(),
- 589        "PRIMARY KEY": lambda self: self._parse_primary_key(),
- 590        "RETURNS": lambda self: self._parse_returns(),
- 591        "ROW": lambda self: self._parse_row(),
- 592        "ROW_FORMAT": lambda self: self._parse_property_assignment(exp.RowFormatProperty),
- 593        "SET": lambda self: self.expression(exp.SetProperty, multi=False),
- 594        "SETTINGS": lambda self: self.expression(
- 595            exp.SettingsProperty, expressions=self._parse_csv(self._parse_set_item)
- 596        ),
- 597        "SORTKEY": lambda self: self._parse_sortkey(),
- 598        "STABLE": lambda self: self.expression(
- 599            exp.StabilityProperty, this=exp.Literal.string("STABLE")
+  55
+  56class Parser(metaclass=_Parser):
+  57    """
+  58    Parser consumes a list of tokens produced by the `sqlglot.tokens.Tokenizer` and produces
+  59    a parsed syntax tree.
+  60
+  61    Args:
+  62        error_level: the desired error level.
+  63            Default: ErrorLevel.RAISE
+  64        error_message_context: determines the amount of context to capture from a
+  65            query string when displaying the error message (in number of characters).
+  66            Default: 50.
+  67        index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.
+  68            Default: 0
+  69        alias_post_tablesample: If the table alias comes after tablesample.
+  70            Default: False
+  71        max_errors: Maximum number of error messages to include in a raised ParseError.
+  72            This is only relevant if error_level is ErrorLevel.RAISE.
+  73            Default: 3
+  74        null_ordering: Indicates the default null ordering method to use if not explicitly set.
+  75            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
+  76            Default: "nulls_are_small"
+  77    """
+  78
+  79    FUNCTIONS: t.Dict[str, t.Callable] = {
+  80        **{name: f.from_arg_list for f in exp.ALL_FUNCTIONS for name in f.sql_names()},
+  81        "DATE_TO_DATE_STR": lambda args: exp.Cast(
+  82            this=seq_get(args, 0),
+  83            to=exp.DataType(this=exp.DataType.Type.TEXT),
+  84        ),
+  85        "GLOB": lambda args: exp.Glob(this=seq_get(args, 1), expression=seq_get(args, 0)),
+  86        "IFNULL": exp.Coalesce.from_arg_list,
+  87        "LIKE": parse_like,
+  88        "TIME_TO_TIME_STR": lambda args: exp.Cast(
+  89            this=seq_get(args, 0),
+  90            to=exp.DataType(this=exp.DataType.Type.TEXT),
+  91        ),
+  92        "TS_OR_DS_TO_DATE_STR": lambda args: exp.Substring(
+  93            this=exp.Cast(
+  94                this=seq_get(args, 0),
+  95                to=exp.DataType(this=exp.DataType.Type.TEXT),
+  96            ),
+  97            start=exp.Literal.number(1),
+  98            length=exp.Literal.number(10),
+  99        ),
+ 100        "VAR_MAP": parse_var_map,
+ 101    }
+ 102
+ 103    NO_PAREN_FUNCTIONS = {
+ 104        TokenType.CURRENT_DATE: exp.CurrentDate,
+ 105        TokenType.CURRENT_DATETIME: exp.CurrentDate,
+ 106        TokenType.CURRENT_TIME: exp.CurrentTime,
+ 107        TokenType.CURRENT_TIMESTAMP: exp.CurrentTimestamp,
+ 108        TokenType.CURRENT_USER: exp.CurrentUser,
+ 109    }
+ 110
+ 111    JOIN_HINTS: t.Set[str] = set()
+ 112
+ 113    NESTED_TYPE_TOKENS = {
+ 114        TokenType.ARRAY,
+ 115        TokenType.MAP,
+ 116        TokenType.NULLABLE,
+ 117        TokenType.STRUCT,
+ 118    }
+ 119
+ 120    TYPE_TOKENS = {
+ 121        TokenType.BIT,
+ 122        TokenType.BOOLEAN,
+ 123        TokenType.TINYINT,
+ 124        TokenType.UTINYINT,
+ 125        TokenType.SMALLINT,
+ 126        TokenType.USMALLINT,
+ 127        TokenType.INT,
+ 128        TokenType.UINT,
+ 129        TokenType.BIGINT,
+ 130        TokenType.UBIGINT,
+ 131        TokenType.INT128,
+ 132        TokenType.UINT128,
+ 133        TokenType.INT256,
+ 134        TokenType.UINT256,
+ 135        TokenType.FLOAT,
+ 136        TokenType.DOUBLE,
+ 137        TokenType.CHAR,
+ 138        TokenType.NCHAR,
+ 139        TokenType.VARCHAR,
+ 140        TokenType.NVARCHAR,
+ 141        TokenType.TEXT,
+ 142        TokenType.MEDIUMTEXT,
+ 143        TokenType.LONGTEXT,
+ 144        TokenType.MEDIUMBLOB,
+ 145        TokenType.LONGBLOB,
+ 146        TokenType.BINARY,
+ 147        TokenType.VARBINARY,
+ 148        TokenType.JSON,
+ 149        TokenType.JSONB,
+ 150        TokenType.INTERVAL,
+ 151        TokenType.TIME,
+ 152        TokenType.TIMESTAMP,
+ 153        TokenType.TIMESTAMPTZ,
+ 154        TokenType.TIMESTAMPLTZ,
+ 155        TokenType.DATETIME,
+ 156        TokenType.DATETIME64,
+ 157        TokenType.DATE,
+ 158        TokenType.DECIMAL,
+ 159        TokenType.BIGDECIMAL,
+ 160        TokenType.UUID,
+ 161        TokenType.GEOGRAPHY,
+ 162        TokenType.GEOMETRY,
+ 163        TokenType.HLLSKETCH,
+ 164        TokenType.HSTORE,
+ 165        TokenType.PSEUDO_TYPE,
+ 166        TokenType.SUPER,
+ 167        TokenType.SERIAL,
+ 168        TokenType.SMALLSERIAL,
+ 169        TokenType.BIGSERIAL,
+ 170        TokenType.XML,
+ 171        TokenType.UNIQUEIDENTIFIER,
+ 172        TokenType.MONEY,
+ 173        TokenType.SMALLMONEY,
+ 174        TokenType.ROWVERSION,
+ 175        TokenType.IMAGE,
+ 176        TokenType.VARIANT,
+ 177        TokenType.OBJECT,
+ 178        TokenType.INET,
+ 179        *NESTED_TYPE_TOKENS,
+ 180    }
+ 181
+ 182    SUBQUERY_PREDICATES = {
+ 183        TokenType.ANY: exp.Any,
+ 184        TokenType.ALL: exp.All,
+ 185        TokenType.EXISTS: exp.Exists,
+ 186        TokenType.SOME: exp.Any,
+ 187    }
+ 188
+ 189    RESERVED_KEYWORDS = {*Tokenizer.SINGLE_TOKENS.values(), TokenType.SELECT}
+ 190
+ 191    DB_CREATABLES = {
+ 192        TokenType.DATABASE,
+ 193        TokenType.SCHEMA,
+ 194        TokenType.TABLE,
+ 195        TokenType.VIEW,
+ 196    }
+ 197
+ 198    CREATABLES = {
+ 199        TokenType.COLUMN,
+ 200        TokenType.FUNCTION,
+ 201        TokenType.INDEX,
+ 202        TokenType.PROCEDURE,
+ 203        *DB_CREATABLES,
+ 204    }
+ 205
+ 206    ID_VAR_TOKENS = {
+ 207        TokenType.VAR,
+ 208        TokenType.ANTI,
+ 209        TokenType.APPLY,
+ 210        TokenType.ASC,
+ 211        TokenType.AUTO_INCREMENT,
+ 212        TokenType.BEGIN,
+ 213        TokenType.CACHE,
+ 214        TokenType.COLLATE,
+ 215        TokenType.COMMAND,
+ 216        TokenType.COMMENT,
+ 217        TokenType.COMMIT,
+ 218        TokenType.CONSTRAINT,
+ 219        TokenType.DEFAULT,
+ 220        TokenType.DELETE,
+ 221        TokenType.DESC,
+ 222        TokenType.DESCRIBE,
+ 223        TokenType.DIV,
+ 224        TokenType.END,
+ 225        TokenType.EXECUTE,
+ 226        TokenType.ESCAPE,
+ 227        TokenType.FALSE,
+ 228        TokenType.FIRST,
+ 229        TokenType.FILTER,
+ 230        TokenType.FORMAT,
+ 231        TokenType.FULL,
+ 232        TokenType.IF,
+ 233        TokenType.IS,
+ 234        TokenType.ISNULL,
+ 235        TokenType.INTERVAL,
+ 236        TokenType.KEEP,
+ 237        TokenType.LEFT,
+ 238        TokenType.LOAD,
+ 239        TokenType.MERGE,
+ 240        TokenType.NATURAL,
+ 241        TokenType.NEXT,
+ 242        TokenType.OFFSET,
+ 243        TokenType.ORDINALITY,
+ 244        TokenType.OVERWRITE,
+ 245        TokenType.PARTITION,
+ 246        TokenType.PERCENT,
+ 247        TokenType.PIVOT,
+ 248        TokenType.PRAGMA,
+ 249        TokenType.RANGE,
+ 250        TokenType.REFERENCES,
+ 251        TokenType.RIGHT,
+ 252        TokenType.ROW,
+ 253        TokenType.ROWS,
+ 254        TokenType.SEMI,
+ 255        TokenType.SET,
+ 256        TokenType.SETTINGS,
+ 257        TokenType.SHOW,
+ 258        TokenType.TEMPORARY,
+ 259        TokenType.TOP,
+ 260        TokenType.TRUE,
+ 261        TokenType.UNIQUE,
+ 262        TokenType.UNPIVOT,
+ 263        TokenType.VOLATILE,
+ 264        TokenType.WINDOW,
+ 265        *CREATABLES,
+ 266        *SUBQUERY_PREDICATES,
+ 267        *TYPE_TOKENS,
+ 268        *NO_PAREN_FUNCTIONS,
+ 269    }
+ 270
+ 271    INTERVAL_VARS = ID_VAR_TOKENS - {TokenType.END}
+ 272
+ 273    TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - {
+ 274        TokenType.APPLY,
+ 275        TokenType.FULL,
+ 276        TokenType.LEFT,
+ 277        TokenType.LOCK,
+ 278        TokenType.NATURAL,
+ 279        TokenType.OFFSET,
+ 280        TokenType.RIGHT,
+ 281        TokenType.WINDOW,
+ 282    }
+ 283
+ 284    COMMENT_TABLE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.IS}
+ 285
+ 286    UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET}
+ 287
+ 288    TRIM_TYPES = {"LEADING", "TRAILING", "BOTH"}
+ 289
+ 290    FUNC_TOKENS = {
+ 291        TokenType.COMMAND,
+ 292        TokenType.CURRENT_DATE,
+ 293        TokenType.CURRENT_DATETIME,
+ 294        TokenType.CURRENT_TIMESTAMP,
+ 295        TokenType.CURRENT_TIME,
+ 296        TokenType.CURRENT_USER,
+ 297        TokenType.FILTER,
+ 298        TokenType.FIRST,
+ 299        TokenType.FORMAT,
+ 300        TokenType.GLOB,
+ 301        TokenType.IDENTIFIER,
+ 302        TokenType.INDEX,
+ 303        TokenType.ISNULL,
+ 304        TokenType.ILIKE,
+ 305        TokenType.LIKE,
+ 306        TokenType.MERGE,
+ 307        TokenType.OFFSET,
+ 308        TokenType.PRIMARY_KEY,
+ 309        TokenType.RANGE,
+ 310        TokenType.REPLACE,
+ 311        TokenType.ROW,
+ 312        TokenType.UNNEST,
+ 313        TokenType.VAR,
+ 314        TokenType.LEFT,
+ 315        TokenType.RIGHT,
+ 316        TokenType.DATE,
+ 317        TokenType.DATETIME,
+ 318        TokenType.TABLE,
+ 319        TokenType.TIMESTAMP,
+ 320        TokenType.TIMESTAMPTZ,
+ 321        TokenType.WINDOW,
+ 322        *TYPE_TOKENS,
+ 323        *SUBQUERY_PREDICATES,
+ 324    }
+ 325
+ 326    CONJUNCTION = {
+ 327        TokenType.AND: exp.And,
+ 328        TokenType.OR: exp.Or,
+ 329    }
+ 330
+ 331    EQUALITY = {
+ 332        TokenType.EQ: exp.EQ,
+ 333        TokenType.NEQ: exp.NEQ,
+ 334        TokenType.NULLSAFE_EQ: exp.NullSafeEQ,
+ 335    }
+ 336
+ 337    COMPARISON = {
+ 338        TokenType.GT: exp.GT,
+ 339        TokenType.GTE: exp.GTE,
+ 340        TokenType.LT: exp.LT,
+ 341        TokenType.LTE: exp.LTE,
+ 342    }
+ 343
+ 344    BITWISE = {
+ 345        TokenType.AMP: exp.BitwiseAnd,
+ 346        TokenType.CARET: exp.BitwiseXor,
+ 347        TokenType.PIPE: exp.BitwiseOr,
+ 348        TokenType.DPIPE: exp.DPipe,
+ 349    }
+ 350
+ 351    TERM = {
+ 352        TokenType.DASH: exp.Sub,
+ 353        TokenType.PLUS: exp.Add,
+ 354        TokenType.MOD: exp.Mod,
+ 355        TokenType.COLLATE: exp.Collate,
+ 356    }
+ 357
+ 358    FACTOR = {
+ 359        TokenType.DIV: exp.IntDiv,
+ 360        TokenType.LR_ARROW: exp.Distance,
+ 361        TokenType.SLASH: exp.Div,
+ 362        TokenType.STAR: exp.Mul,
+ 363    }
+ 364
+ 365    TIMESTAMPS = {
+ 366        TokenType.TIME,
+ 367        TokenType.TIMESTAMP,
+ 368        TokenType.TIMESTAMPTZ,
+ 369        TokenType.TIMESTAMPLTZ,
+ 370    }
+ 371
+ 372    SET_OPERATIONS = {
+ 373        TokenType.UNION,
+ 374        TokenType.INTERSECT,
+ 375        TokenType.EXCEPT,
+ 376    }
+ 377
+ 378    JOIN_SIDES = {
+ 379        TokenType.LEFT,
+ 380        TokenType.RIGHT,
+ 381        TokenType.FULL,
+ 382    }
+ 383
+ 384    JOIN_KINDS = {
+ 385        TokenType.INNER,
+ 386        TokenType.OUTER,
+ 387        TokenType.CROSS,
+ 388        TokenType.SEMI,
+ 389        TokenType.ANTI,
+ 390    }
+ 391
+ 392    LAMBDAS = {
+ 393        TokenType.ARROW: lambda self, expressions: self.expression(
+ 394            exp.Lambda,
+ 395            this=self._replace_lambda(
+ 396                self._parse_conjunction(),
+ 397                {node.name for node in expressions},
+ 398            ),
+ 399            expressions=expressions,
+ 400        ),
+ 401        TokenType.FARROW: lambda self, expressions: self.expression(
+ 402            exp.Kwarg,
+ 403            this=exp.Var(this=expressions[0].name),
+ 404            expression=self._parse_conjunction(),
+ 405        ),
+ 406    }
+ 407
+ 408    COLUMN_OPERATORS = {
+ 409        TokenType.DOT: None,
+ 410        TokenType.DCOLON: lambda self, this, to: self.expression(
+ 411            exp.Cast if self.STRICT_CAST else exp.TryCast,
+ 412            this=this,
+ 413            to=to,
+ 414        ),
+ 415        TokenType.ARROW: lambda self, this, path: self.expression(
+ 416            exp.JSONExtract,
+ 417            this=this,
+ 418            expression=path,
+ 419        ),
+ 420        TokenType.DARROW: lambda self, this, path: self.expression(
+ 421            exp.JSONExtractScalar,
+ 422            this=this,
+ 423            expression=path,
+ 424        ),
+ 425        TokenType.HASH_ARROW: lambda self, this, path: self.expression(
+ 426            exp.JSONBExtract,
+ 427            this=this,
+ 428            expression=path,
+ 429        ),
+ 430        TokenType.DHASH_ARROW: lambda self, this, path: self.expression(
+ 431            exp.JSONBExtractScalar,
+ 432            this=this,
+ 433            expression=path,
+ 434        ),
+ 435        TokenType.PLACEHOLDER: lambda self, this, key: self.expression(
+ 436            exp.JSONBContains,
+ 437            this=this,
+ 438            expression=key,
+ 439        ),
+ 440    }
+ 441
+ 442    EXPRESSION_PARSERS = {
+ 443        exp.Column: lambda self: self._parse_column(),
+ 444        exp.DataType: lambda self: self._parse_types(),
+ 445        exp.From: lambda self: self._parse_from(),
+ 446        exp.Group: lambda self: self._parse_group(),
+ 447        exp.Identifier: lambda self: self._parse_id_var(),
+ 448        exp.Lateral: lambda self: self._parse_lateral(),
+ 449        exp.Join: lambda self: self._parse_join(),
+ 450        exp.Order: lambda self: self._parse_order(),
+ 451        exp.Cluster: lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
+ 452        exp.Sort: lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
+ 453        exp.Lambda: lambda self: self._parse_lambda(),
+ 454        exp.Limit: lambda self: self._parse_limit(),
+ 455        exp.Offset: lambda self: self._parse_offset(),
+ 456        exp.TableAlias: lambda self: self._parse_table_alias(),
+ 457        exp.Table: lambda self: self._parse_table_parts(),
+ 458        exp.Condition: lambda self: self._parse_conjunction(),
+ 459        exp.Expression: lambda self: self._parse_statement(),
+ 460        exp.Properties: lambda self: self._parse_properties(),
+ 461        exp.Where: lambda self: self._parse_where(),
+ 462        exp.Ordered: lambda self: self._parse_ordered(),
+ 463        exp.Having: lambda self: self._parse_having(),
+ 464        exp.With: lambda self: self._parse_with(),
+ 465        exp.Window: lambda self: self._parse_named_window(),
+ 466        exp.Qualify: lambda self: self._parse_qualify(),
+ 467        exp.Returning: lambda self: self._parse_returning(),
+ 468        "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(),
+ 469    }
+ 470
+ 471    STATEMENT_PARSERS = {
+ 472        TokenType.ALTER: lambda self: self._parse_alter(),
+ 473        TokenType.BEGIN: lambda self: self._parse_transaction(),
+ 474        TokenType.CACHE: lambda self: self._parse_cache(),
+ 475        TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(),
+ 476        TokenType.COMMENT: lambda self: self._parse_comment(),
+ 477        TokenType.CREATE: lambda self: self._parse_create(),
+ 478        TokenType.DELETE: lambda self: self._parse_delete(),
+ 479        TokenType.DESC: lambda self: self._parse_describe(),
+ 480        TokenType.DESCRIBE: lambda self: self._parse_describe(),
+ 481        TokenType.DROP: lambda self: self._parse_drop(),
+ 482        TokenType.END: lambda self: self._parse_commit_or_rollback(),
+ 483        TokenType.INSERT: lambda self: self._parse_insert(),
+ 484        TokenType.LOAD: lambda self: self._parse_load(),
+ 485        TokenType.MERGE: lambda self: self._parse_merge(),
+ 486        TokenType.PRAGMA: lambda self: self.expression(exp.Pragma, this=self._parse_expression()),
+ 487        TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(),
+ 488        TokenType.SET: lambda self: self._parse_set(),
+ 489        TokenType.UNCACHE: lambda self: self._parse_uncache(),
+ 490        TokenType.UPDATE: lambda self: self._parse_update(),
+ 491        TokenType.USE: lambda self: self.expression(
+ 492            exp.Use,
+ 493            kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA"))
+ 494            and exp.Var(this=self._prev.text),
+ 495            this=self._parse_table(schema=False),
+ 496        ),
+ 497    }
+ 498
+ 499    UNARY_PARSERS = {
+ 500        TokenType.PLUS: lambda self: self._parse_unary(),  # Unary + is handled as a no-op
+ 501        TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()),
+ 502        TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()),
+ 503        TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()),
+ 504    }
+ 505
+ 506    PRIMARY_PARSERS = {
+ 507        TokenType.STRING: lambda self, token: self.expression(
+ 508            exp.Literal, this=token.text, is_string=True
+ 509        ),
+ 510        TokenType.NUMBER: lambda self, token: self.expression(
+ 511            exp.Literal, this=token.text, is_string=False
+ 512        ),
+ 513        TokenType.STAR: lambda self, _: self.expression(
+ 514            exp.Star,
+ 515            **{"except": self._parse_except(), "replace": self._parse_replace()},
+ 516        ),
+ 517        TokenType.NULL: lambda self, _: self.expression(exp.Null),
+ 518        TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True),
+ 519        TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False),
+ 520        TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text),
+ 521        TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text),
+ 522        TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text),
+ 523        TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token),
+ 524        TokenType.NATIONAL_STRING: lambda self, token: self.expression(
+ 525            exp.National, this=token.text
+ 526        ),
+ 527        TokenType.RAW_STRING: lambda self, token: self.expression(exp.RawString, this=token.text),
+ 528        TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(),
+ 529    }
+ 530
+ 531    PLACEHOLDER_PARSERS = {
+ 532        TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder),
+ 533        TokenType.PARAMETER: lambda self: self._parse_parameter(),
+ 534        TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text)
+ 535        if self._match_set((TokenType.NUMBER, TokenType.VAR))
+ 536        else None,
+ 537    }
+ 538
+ 539    RANGE_PARSERS = {
+ 540        TokenType.BETWEEN: lambda self, this: self._parse_between(this),
+ 541        TokenType.GLOB: binary_range_parser(exp.Glob),
+ 542        TokenType.ILIKE: binary_range_parser(exp.ILike),
+ 543        TokenType.IN: lambda self, this: self._parse_in(this),
+ 544        TokenType.IRLIKE: binary_range_parser(exp.RegexpILike),
+ 545        TokenType.IS: lambda self, this: self._parse_is(this),
+ 546        TokenType.LIKE: binary_range_parser(exp.Like),
+ 547        TokenType.OVERLAPS: binary_range_parser(exp.Overlaps),
+ 548        TokenType.RLIKE: binary_range_parser(exp.RegexpLike),
+ 549        TokenType.SIMILAR_TO: binary_range_parser(exp.SimilarTo),
+ 550    }
+ 551
+ 552    PROPERTY_PARSERS: t.Dict[str, t.Callable] = {
+ 553        "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty),
+ 554        "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty),
+ 555        "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(),
+ 556        "CHARACTER SET": lambda self: self._parse_character_set(),
+ 557        "CHECKSUM": lambda self: self._parse_checksum(),
+ 558        "CLUSTER": lambda self: self._parse_cluster(),
+ 559        "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty),
+ 560        "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty),
+ 561        "DATABLOCKSIZE": lambda self, **kwargs: self._parse_datablocksize(**kwargs),
+ 562        "DEFINER": lambda self: self._parse_definer(),
+ 563        "DETERMINISTIC": lambda self: self.expression(
+ 564            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
+ 565        ),
+ 566        "DISTKEY": lambda self: self._parse_distkey(),
+ 567        "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty),
+ 568        "ENGINE": lambda self: self._parse_property_assignment(exp.EngineProperty),
+ 569        "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty),
+ 570        "EXTERNAL": lambda self: self.expression(exp.ExternalProperty),
+ 571        "FALLBACK": lambda self, **kwargs: self._parse_fallback(**kwargs),
+ 572        "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
+ 573        "FREESPACE": lambda self: self._parse_freespace(),
+ 574        "IMMUTABLE": lambda self: self.expression(
+ 575            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
+ 576        ),
+ 577        "JOURNAL": lambda self, **kwargs: self._parse_journal(**kwargs),
+ 578        "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty),
+ 579        "LIKE": lambda self: self._parse_create_like(),
+ 580        "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty),
+ 581        "LOCK": lambda self: self._parse_locking(),
+ 582        "LOCKING": lambda self: self._parse_locking(),
+ 583        "LOG": lambda self, **kwargs: self._parse_log(**kwargs),
+ 584        "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty),
+ 585        "MERGEBLOCKRATIO": lambda self, **kwargs: self._parse_mergeblockratio(**kwargs),
+ 586        "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True),
+ 587        "NO": lambda self: self._parse_no_property(),
+ 588        "ON": lambda self: self._parse_on_property(),
+ 589        "ORDER BY": lambda self: self._parse_order(skip_order_token=True),
+ 590        "PARTITION BY": lambda self: self._parse_partitioned_by(),
+ 591        "PARTITIONED BY": lambda self: self._parse_partitioned_by(),
+ 592        "PARTITIONED_BY": lambda self: self._parse_partitioned_by(),
+ 593        "PRIMARY KEY": lambda self: self._parse_primary_key(),
+ 594        "RETURNS": lambda self: self._parse_returns(),
+ 595        "ROW": lambda self: self._parse_row(),
+ 596        "ROW_FORMAT": lambda self: self._parse_property_assignment(exp.RowFormatProperty),
+ 597        "SET": lambda self: self.expression(exp.SetProperty, multi=False),
+ 598        "SETTINGS": lambda self: self.expression(
+ 599            exp.SettingsProperty, expressions=self._parse_csv(self._parse_set_item)
  600        ),
- 601        "STORED": lambda self: self._parse_stored(),
- 602        "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property),
- 603        "TEMP": lambda self: self.expression(exp.TemporaryProperty),
- 604        "TEMPORARY": lambda self: self.expression(exp.TemporaryProperty),
- 605        "TRANSIENT": lambda self: self.expression(exp.TransientProperty),
- 606        "TTL": lambda self: self._parse_ttl(),
- 607        "USING": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
- 608        "VOLATILE": lambda self: self._parse_volatile_property(),
- 609        "WITH": lambda self: self._parse_with_property(),
- 610    }
- 611
- 612    CONSTRAINT_PARSERS = {
- 613        "AUTOINCREMENT": lambda self: self._parse_auto_increment(),
- 614        "AUTO_INCREMENT": lambda self: self._parse_auto_increment(),
- 615        "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False),
- 616        "CHARACTER SET": lambda self: self.expression(
- 617            exp.CharacterSetColumnConstraint, this=self._parse_var_or_string()
- 618        ),
- 619        "CHECK": lambda self: self.expression(
- 620            exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction)
- 621        ),
- 622        "COLLATE": lambda self: self.expression(
- 623            exp.CollateColumnConstraint, this=self._parse_var()
- 624        ),
- 625        "COMMENT": lambda self: self.expression(
- 626            exp.CommentColumnConstraint, this=self._parse_string()
- 627        ),
- 628        "COMPRESS": lambda self: self._parse_compress(),
- 629        "DEFAULT": lambda self: self.expression(
- 630            exp.DefaultColumnConstraint, this=self._parse_bitwise()
+ 601        "SORTKEY": lambda self: self._parse_sortkey(),
+ 602        "STABLE": lambda self: self.expression(
+ 603            exp.StabilityProperty, this=exp.Literal.string("STABLE")
+ 604        ),
+ 605        "STORED": lambda self: self._parse_stored(),
+ 606        "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property),
+ 607        "TEMP": lambda self: self.expression(exp.TemporaryProperty),
+ 608        "TEMPORARY": lambda self: self.expression(exp.TemporaryProperty),
+ 609        "TRANSIENT": lambda self: self.expression(exp.TransientProperty),
+ 610        "TTL": lambda self: self._parse_ttl(),
+ 611        "USING": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
+ 612        "VOLATILE": lambda self: self._parse_volatile_property(),
+ 613        "WITH": lambda self: self._parse_with_property(),
+ 614    }
+ 615
+ 616    CONSTRAINT_PARSERS = {
+ 617        "AUTOINCREMENT": lambda self: self._parse_auto_increment(),
+ 618        "AUTO_INCREMENT": lambda self: self._parse_auto_increment(),
+ 619        "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False),
+ 620        "CHARACTER SET": lambda self: self.expression(
+ 621            exp.CharacterSetColumnConstraint, this=self._parse_var_or_string()
+ 622        ),
+ 623        "CHECK": lambda self: self.expression(
+ 624            exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction)
+ 625        ),
+ 626        "COLLATE": lambda self: self.expression(
+ 627            exp.CollateColumnConstraint, this=self._parse_var()
+ 628        ),
+ 629        "COMMENT": lambda self: self.expression(
+ 630            exp.CommentColumnConstraint, this=self._parse_string()
  631        ),
- 632        "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()),
- 633        "FOREIGN KEY": lambda self: self._parse_foreign_key(),
- 634        "FORMAT": lambda self: self.expression(
- 635            exp.DateFormatColumnConstraint, this=self._parse_var_or_string()
- 636        ),
- 637        "GENERATED": lambda self: self._parse_generated_as_identity(),
- 638        "IDENTITY": lambda self: self._parse_auto_increment(),
- 639        "INLINE": lambda self: self._parse_inline(),
- 640        "LIKE": lambda self: self._parse_create_like(),
- 641        "NOT": lambda self: self._parse_not_constraint(),
- 642        "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True),
- 643        "ON": lambda self: self._match(TokenType.UPDATE)
- 644        and self.expression(exp.OnUpdateColumnConstraint, this=self._parse_function()),
- 645        "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()),
- 646        "PRIMARY KEY": lambda self: self._parse_primary_key(),
- 647        "REFERENCES": lambda self: self._parse_references(match=False),
- 648        "TITLE": lambda self: self.expression(
- 649            exp.TitleColumnConstraint, this=self._parse_var_or_string()
- 650        ),
- 651        "TTL": lambda self: self.expression(exp.MergeTreeTTL, expressions=[self._parse_bitwise()]),
- 652        "UNIQUE": lambda self: self._parse_unique(),
- 653        "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint),
- 654    }
- 655
- 656    ALTER_PARSERS = {
- 657        "ADD": lambda self: self._parse_alter_table_add(),
- 658        "ALTER": lambda self: self._parse_alter_table_alter(),
- 659        "DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()),
- 660        "DROP": lambda self: self._parse_alter_table_drop(),
- 661        "RENAME": lambda self: self._parse_alter_table_rename(),
- 662    }
- 663
- 664    SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"}
- 665
- 666    NO_PAREN_FUNCTION_PARSERS = {
- 667        TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()),
- 668        TokenType.CASE: lambda self: self._parse_case(),
- 669        TokenType.IF: lambda self: self._parse_if(),
- 670        TokenType.NEXT_VALUE_FOR: lambda self: self.expression(
- 671            exp.NextValueFor,
- 672            this=self._parse_column(),
- 673            order=self._match(TokenType.OVER) and self._parse_wrapped(self._parse_order),
- 674        ),
- 675    }
- 676
- 677    FUNCTION_PARSERS: t.Dict[str, t.Callable] = {
- 678        "CAST": lambda self: self._parse_cast(self.STRICT_CAST),
- 679        "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST),
- 680        "DECODE": lambda self: self._parse_decode(),
- 681        "EXTRACT": lambda self: self._parse_extract(),
- 682        "JSON_OBJECT": lambda self: self._parse_json_object(),
- 683        "LOG": lambda self: self._parse_logarithm(),
- 684        "MATCH": lambda self: self._parse_match_against(),
- 685        "OPENJSON": lambda self: self._parse_open_json(),
- 686        "POSITION": lambda self: self._parse_position(),
- 687        "STRING_AGG": lambda self: self._parse_string_agg(),
- 688        "SUBSTRING": lambda self: self._parse_substring(),
- 689        "STRUCT": lambda self: self._parse_struct(),
- 690        "TRIM": lambda self: self._parse_trim(),
- 691        "TRY_CAST": lambda self: self._parse_cast(False),
- 692        "TRY_CONVERT": lambda self: self._parse_convert(False),
- 693    }
- 694
- 695    QUERY_MODIFIER_PARSERS = {
- 696        "joins": lambda self: list(iter(self._parse_join, None)),
- 697        "laterals": lambda self: list(iter(self._parse_lateral, None)),
- 698        "match": lambda self: self._parse_match_recognize(),
- 699        "where": lambda self: self._parse_where(),
- 700        "group": lambda self: self._parse_group(),
- 701        "having": lambda self: self._parse_having(),
- 702        "qualify": lambda self: self._parse_qualify(),
- 703        "windows": lambda self: self._parse_window_clause(),
- 704        "order": lambda self: self._parse_order(),
- 705        "limit": lambda self: self._parse_limit(),
- 706        "offset": lambda self: self._parse_offset(),
- 707        "locks": lambda self: self._parse_locks(),
- 708        "sample": lambda self: self._parse_table_sample(as_modifier=True),
- 709    }
- 710
- 711    SET_PARSERS = {
- 712        "GLOBAL": lambda self: self._parse_set_item_assignment("GLOBAL"),
- 713        "LOCAL": lambda self: self._parse_set_item_assignment("LOCAL"),
- 714        "SESSION": lambda self: self._parse_set_item_assignment("SESSION"),
- 715        "TRANSACTION": lambda self: self._parse_set_transaction(),
- 716    }
- 717
- 718    SHOW_PARSERS: t.Dict[str, t.Callable] = {}
- 719
- 720    TYPE_LITERAL_PARSERS: t.Dict[exp.DataType.Type, t.Callable] = {}
- 721
- 722    MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table)
+ 632        "COMPRESS": lambda self: self._parse_compress(),
+ 633        "DEFAULT": lambda self: self.expression(
+ 634            exp.DefaultColumnConstraint, this=self._parse_bitwise()
+ 635        ),
+ 636        "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()),
+ 637        "FOREIGN KEY": lambda self: self._parse_foreign_key(),
+ 638        "FORMAT": lambda self: self.expression(
+ 639            exp.DateFormatColumnConstraint, this=self._parse_var_or_string()
+ 640        ),
+ 641        "GENERATED": lambda self: self._parse_generated_as_identity(),
+ 642        "IDENTITY": lambda self: self._parse_auto_increment(),
+ 643        "INLINE": lambda self: self._parse_inline(),
+ 644        "LIKE": lambda self: self._parse_create_like(),
+ 645        "NOT": lambda self: self._parse_not_constraint(),
+ 646        "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True),
+ 647        "ON": lambda self: self._match(TokenType.UPDATE)
+ 648        and self.expression(exp.OnUpdateColumnConstraint, this=self._parse_function()),
+ 649        "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()),
+ 650        "PRIMARY KEY": lambda self: self._parse_primary_key(),
+ 651        "REFERENCES": lambda self: self._parse_references(match=False),
+ 652        "TITLE": lambda self: self.expression(
+ 653            exp.TitleColumnConstraint, this=self._parse_var_or_string()
+ 654        ),
+ 655        "TTL": lambda self: self.expression(exp.MergeTreeTTL, expressions=[self._parse_bitwise()]),
+ 656        "UNIQUE": lambda self: self._parse_unique(),
+ 657        "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint),
+ 658    }
+ 659
+ 660    ALTER_PARSERS = {
+ 661        "ADD": lambda self: self._parse_alter_table_add(),
+ 662        "ALTER": lambda self: self._parse_alter_table_alter(),
+ 663        "DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()),
+ 664        "DROP": lambda self: self._parse_alter_table_drop(),
+ 665        "RENAME": lambda self: self._parse_alter_table_rename(),
+ 666    }
+ 667
+ 668    SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"}
+ 669
+ 670    NO_PAREN_FUNCTION_PARSERS = {
+ 671        TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()),
+ 672        TokenType.CASE: lambda self: self._parse_case(),
+ 673        TokenType.IF: lambda self: self._parse_if(),
+ 674        TokenType.NEXT_VALUE_FOR: lambda self: self.expression(
+ 675            exp.NextValueFor,
+ 676            this=self._parse_column(),
+ 677            order=self._match(TokenType.OVER) and self._parse_wrapped(self._parse_order),
+ 678        ),
+ 679    }
+ 680
+ 681    FUNCTIONS_WITH_ALIASED_ARGS = {"STRUCT"}
+ 682
+ 683    FUNCTION_PARSERS: t.Dict[str, t.Callable] = {
+ 684        "CAST": lambda self: self._parse_cast(self.STRICT_CAST),
+ 685        "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST),
+ 686        "DECODE": lambda self: self._parse_decode(),
+ 687        "EXTRACT": lambda self: self._parse_extract(),
+ 688        "JSON_OBJECT": lambda self: self._parse_json_object(),
+ 689        "LOG": lambda self: self._parse_logarithm(),
+ 690        "MATCH": lambda self: self._parse_match_against(),
+ 691        "OPENJSON": lambda self: self._parse_open_json(),
+ 692        "POSITION": lambda self: self._parse_position(),
+ 693        "SAFE_CAST": lambda self: self._parse_cast(False),
+ 694        "STRING_AGG": lambda self: self._parse_string_agg(),
+ 695        "SUBSTRING": lambda self: self._parse_substring(),
+ 696        "TRIM": lambda self: self._parse_trim(),
+ 697        "TRY_CAST": lambda self: self._parse_cast(False),
+ 698        "TRY_CONVERT": lambda self: self._parse_convert(False),
+ 699    }
+ 700
+ 701    QUERY_MODIFIER_PARSERS = {
+ 702        "joins": lambda self: list(iter(self._parse_join, None)),
+ 703        "laterals": lambda self: list(iter(self._parse_lateral, None)),
+ 704        "match": lambda self: self._parse_match_recognize(),
+ 705        "where": lambda self: self._parse_where(),
+ 706        "group": lambda self: self._parse_group(),
+ 707        "having": lambda self: self._parse_having(),
+ 708        "qualify": lambda self: self._parse_qualify(),
+ 709        "windows": lambda self: self._parse_window_clause(),
+ 710        "order": lambda self: self._parse_order(),
+ 711        "limit": lambda self: self._parse_limit(),
+ 712        "offset": lambda self: self._parse_offset(),
+ 713        "locks": lambda self: self._parse_locks(),
+ 714        "sample": lambda self: self._parse_table_sample(as_modifier=True),
+ 715    }
+ 716
+ 717    SET_PARSERS = {
+ 718        "GLOBAL": lambda self: self._parse_set_item_assignment("GLOBAL"),
+ 719        "LOCAL": lambda self: self._parse_set_item_assignment("LOCAL"),
+ 720        "SESSION": lambda self: self._parse_set_item_assignment("SESSION"),
+ 721        "TRANSACTION": lambda self: self._parse_set_transaction(),
+ 722    }
  723
- 724    TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"}
+ 724    SHOW_PARSERS: t.Dict[str, t.Callable] = {}
  725
- 726    TRANSACTION_CHARACTERISTICS = {
- 727        "ISOLATION LEVEL REPEATABLE READ",
- 728        "ISOLATION LEVEL READ COMMITTED",
- 729        "ISOLATION LEVEL READ UNCOMMITTED",
- 730        "ISOLATION LEVEL SERIALIZABLE",
- 731        "READ WRITE",
- 732        "READ ONLY",
- 733    }
- 734
- 735    INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"}
- 736
- 737    CLONE_KINDS = {"TIMESTAMP", "OFFSET", "STATEMENT"}
- 738
- 739    WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS}
- 740    WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER}
- 741
- 742    ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY}
- 743
- 744    STRICT_CAST = True
- 745
- 746    CONVERT_TYPE_FIRST = False
+ 726    TYPE_LITERAL_PARSERS: t.Dict[exp.DataType.Type, t.Callable] = {}
+ 727
+ 728    MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table)
+ 729
+ 730    TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"}
+ 731
+ 732    TRANSACTION_CHARACTERISTICS = {
+ 733        "ISOLATION LEVEL REPEATABLE READ",
+ 734        "ISOLATION LEVEL READ COMMITTED",
+ 735        "ISOLATION LEVEL READ UNCOMMITTED",
+ 736        "ISOLATION LEVEL SERIALIZABLE",
+ 737        "READ WRITE",
+ 738        "READ ONLY",
+ 739    }
+ 740
+ 741    INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"}
+ 742
+ 743    CLONE_KINDS = {"TIMESTAMP", "OFFSET", "STATEMENT"}
+ 744
+ 745    WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS}
+ 746    WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER}
  747
- 748    PREFIXED_PIVOT_COLUMNS = False
- 749    IDENTIFY_PIVOT_STRINGS = False
- 750
- 751    LOG_BASE_FIRST = True
- 752    LOG_DEFAULTS_TO_LN = False
+ 748    ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY}
+ 749
+ 750    STRICT_CAST = True
+ 751
+ 752    CONVERT_TYPE_FIRST = False
  753
- 754    __slots__ = (
- 755        "error_level",
- 756        "error_message_context",
- 757        "sql",
- 758        "errors",
- 759        "index_offset",
- 760        "unnest_column_only",
- 761        "alias_post_tablesample",
- 762        "max_errors",
- 763        "null_ordering",
- 764        "_tokens",
- 765        "_index",
- 766        "_curr",
- 767        "_next",
- 768        "_prev",
- 769        "_prev_comments",
- 770        "_show_trie",
- 771        "_set_trie",
- 772    )
- 773
- 774    def __init__(
- 775        self,
- 776        error_level: t.Optional[ErrorLevel] = None,
- 777        error_message_context: int = 100,
- 778        index_offset: int = 0,
- 779        unnest_column_only: bool = False,
- 780        alias_post_tablesample: bool = False,
- 781        max_errors: int = 3,
- 782        null_ordering: t.Optional[str] = None,
- 783    ):
- 784        self.error_level = error_level or ErrorLevel.IMMEDIATE
- 785        self.error_message_context = error_message_context
- 786        self.index_offset = index_offset
- 787        self.unnest_column_only = unnest_column_only
- 788        self.alias_post_tablesample = alias_post_tablesample
- 789        self.max_errors = max_errors
- 790        self.null_ordering = null_ordering
- 791        self.reset()
- 792
- 793    def reset(self):
- 794        self.sql = ""
- 795        self.errors = []
- 796        self._tokens = []
- 797        self._index = 0
- 798        self._curr = None
- 799        self._next = None
- 800        self._prev = None
- 801        self._prev_comments = None
- 802
- 803    def parse(
- 804        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
- 805    ) -> t.List[t.Optional[exp.Expression]]:
- 806        """
- 807        Parses a list of tokens and returns a list of syntax trees, one tree
- 808        per parsed SQL statement.
- 809
- 810        Args:
- 811            raw_tokens: the list of tokens.
- 812            sql: the original SQL string, used to produce helpful debug messages.
- 813
- 814        Returns:
- 815            The list of syntax trees.
- 816        """
- 817        return self._parse(
- 818            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
- 819        )
- 820
- 821    def parse_into(
- 822        self,
- 823        expression_types: exp.IntoType,
- 824        raw_tokens: t.List[Token],
- 825        sql: t.Optional[str] = None,
- 826    ) -> t.List[t.Optional[exp.Expression]]:
- 827        """
- 828        Parses a list of tokens into a given Expression type. If a collection of Expression
- 829        types is given instead, this method will try to parse the token list into each one
- 830        of them, stopping at the first for which the parsing succeeds.
- 831
- 832        Args:
- 833            expression_types: the expression type(s) to try and parse the token list into.
- 834            raw_tokens: the list of tokens.
- 835            sql: the original SQL string, used to produce helpful debug messages.
- 836
- 837        Returns:
- 838            The target Expression.
- 839        """
- 840        errors = []
- 841        for expression_type in ensure_collection(expression_types):
- 842            parser = self.EXPRESSION_PARSERS.get(expression_type)
- 843            if not parser:
- 844                raise TypeError(f"No parser registered for {expression_type}")
- 845            try:
- 846                return self._parse(parser, raw_tokens, sql)
- 847            except ParseError as e:
- 848                e.errors[0]["into_expression"] = expression_type
- 849                errors.append(e)
- 850        raise ParseError(
- 851            f"Failed to parse into {expression_types}",
- 852            errors=merge_errors(errors),
- 853        ) from errors[-1]
- 854
- 855    def _parse(
- 856        self,
- 857        parse_method: t.Callable[[Parser], t.Optional[exp.Expression]],
- 858        raw_tokens: t.List[Token],
- 859        sql: t.Optional[str] = None,
- 860    ) -> t.List[t.Optional[exp.Expression]]:
- 861        self.reset()
- 862        self.sql = sql or ""
- 863        total = len(raw_tokens)
- 864        chunks: t.List[t.List[Token]] = [[]]
- 865
- 866        for i, token in enumerate(raw_tokens):
- 867            if token.token_type == TokenType.SEMICOLON:
- 868                if i < total - 1:
- 869                    chunks.append([])
- 870            else:
- 871                chunks[-1].append(token)
- 872
- 873        expressions = []
- 874
- 875        for tokens in chunks:
- 876            self._index = -1
- 877            self._tokens = tokens
- 878            self._advance()
- 879
- 880            expressions.append(parse_method(self))
- 881
- 882            if self._index < len(self._tokens):
- 883                self.raise_error("Invalid expression / Unexpected token")
- 884
- 885            self.check_errors()
- 886
- 887        return expressions
- 888
- 889    def check_errors(self) -> None:
- 890        """
- 891        Logs or raises any found errors, depending on the chosen error level setting.
- 892        """
- 893        if self.error_level == ErrorLevel.WARN:
- 894            for error in self.errors:
- 895                logger.error(str(error))
- 896        elif self.error_level == ErrorLevel.RAISE and self.errors:
- 897            raise ParseError(
- 898                concat_messages(self.errors, self.max_errors),
- 899                errors=merge_errors(self.errors),
- 900            )
- 901
- 902    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
- 903        """
- 904        Appends an error in the list of recorded errors or raises it, depending on the chosen
- 905        error level setting.
- 906        """
- 907        token = token or self._curr or self._prev or Token.string("")
- 908        start = token.start
- 909        end = token.end + 1
- 910        start_context = self.sql[max(start - self.error_message_context, 0) : start]
- 911        highlight = self.sql[start:end]
- 912        end_context = self.sql[end : end + self.error_message_context]
- 913
- 914        error = ParseError.new(
- 915            f"{message}. Line {token.line}, Col: {token.col}.\n"
- 916            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
- 917            description=message,
- 918            line=token.line,
- 919            col=token.col,
- 920            start_context=start_context,
- 921            highlight=highlight,
- 922            end_context=end_context,
- 923        )
- 924
- 925        if self.error_level == ErrorLevel.IMMEDIATE:
- 926            raise error
- 927
- 928        self.errors.append(error)
- 929
- 930    def expression(
- 931        self, exp_class: t.Type[E], comments: t.Optional[t.List[str]] = None, **kwargs
- 932    ) -> E:
- 933        """
- 934        Creates a new, validated Expression.
+ 754    PREFIXED_PIVOT_COLUMNS = False
+ 755    IDENTIFY_PIVOT_STRINGS = False
+ 756
+ 757    LOG_BASE_FIRST = True
+ 758    LOG_DEFAULTS_TO_LN = False
+ 759
+ 760    __slots__ = (
+ 761        "error_level",
+ 762        "error_message_context",
+ 763        "sql",
+ 764        "errors",
+ 765        "index_offset",
+ 766        "unnest_column_only",
+ 767        "alias_post_tablesample",
+ 768        "max_errors",
+ 769        "null_ordering",
+ 770        "_tokens",
+ 771        "_index",
+ 772        "_curr",
+ 773        "_next",
+ 774        "_prev",
+ 775        "_prev_comments",
+ 776        "_show_trie",
+ 777        "_set_trie",
+ 778    )
+ 779
+ 780    def __init__(
+ 781        self,
+ 782        error_level: t.Optional[ErrorLevel] = None,
+ 783        error_message_context: int = 100,
+ 784        index_offset: int = 0,
+ 785        unnest_column_only: bool = False,
+ 786        alias_post_tablesample: bool = False,
+ 787        max_errors: int = 3,
+ 788        null_ordering: t.Optional[str] = None,
+ 789    ):
+ 790        self.error_level = error_level or ErrorLevel.IMMEDIATE
+ 791        self.error_message_context = error_message_context
+ 792        self.index_offset = index_offset
+ 793        self.unnest_column_only = unnest_column_only
+ 794        self.alias_post_tablesample = alias_post_tablesample
+ 795        self.max_errors = max_errors
+ 796        self.null_ordering = null_ordering
+ 797        self.reset()
+ 798
+ 799    def reset(self):
+ 800        self.sql = ""
+ 801        self.errors = []
+ 802        self._tokens = []
+ 803        self._index = 0
+ 804        self._curr = None
+ 805        self._next = None
+ 806        self._prev = None
+ 807        self._prev_comments = None
+ 808
+ 809    def parse(
+ 810        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
+ 811    ) -> t.List[t.Optional[exp.Expression]]:
+ 812        """
+ 813        Parses a list of tokens and returns a list of syntax trees, one tree
+ 814        per parsed SQL statement.
+ 815
+ 816        Args:
+ 817            raw_tokens: the list of tokens.
+ 818            sql: the original SQL string, used to produce helpful debug messages.
+ 819
+ 820        Returns:
+ 821            The list of syntax trees.
+ 822        """
+ 823        return self._parse(
+ 824            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
+ 825        )
+ 826
+ 827    def parse_into(
+ 828        self,
+ 829        expression_types: exp.IntoType,
+ 830        raw_tokens: t.List[Token],
+ 831        sql: t.Optional[str] = None,
+ 832    ) -> t.List[t.Optional[exp.Expression]]:
+ 833        """
+ 834        Parses a list of tokens into a given Expression type. If a collection of Expression
+ 835        types is given instead, this method will try to parse the token list into each one
+ 836        of them, stopping at the first for which the parsing succeeds.
+ 837
+ 838        Args:
+ 839            expression_types: the expression type(s) to try and parse the token list into.
+ 840            raw_tokens: the list of tokens.
+ 841            sql: the original SQL string, used to produce helpful debug messages.
+ 842
+ 843        Returns:
+ 844            The target Expression.
+ 845        """
+ 846        errors = []
+ 847        for expression_type in ensure_collection(expression_types):
+ 848            parser = self.EXPRESSION_PARSERS.get(expression_type)
+ 849            if not parser:
+ 850                raise TypeError(f"No parser registered for {expression_type}")
+ 851            try:
+ 852                return self._parse(parser, raw_tokens, sql)
+ 853            except ParseError as e:
+ 854                e.errors[0]["into_expression"] = expression_type
+ 855                errors.append(e)
+ 856        raise ParseError(
+ 857            f"Failed to parse into {expression_types}",
+ 858            errors=merge_errors(errors),
+ 859        ) from errors[-1]
+ 860
+ 861    def _parse(
+ 862        self,
+ 863        parse_method: t.Callable[[Parser], t.Optional[exp.Expression]],
+ 864        raw_tokens: t.List[Token],
+ 865        sql: t.Optional[str] = None,
+ 866    ) -> t.List[t.Optional[exp.Expression]]:
+ 867        self.reset()
+ 868        self.sql = sql or ""
+ 869        total = len(raw_tokens)
+ 870        chunks: t.List[t.List[Token]] = [[]]
+ 871
+ 872        for i, token in enumerate(raw_tokens):
+ 873            if token.token_type == TokenType.SEMICOLON:
+ 874                if i < total - 1:
+ 875                    chunks.append([])
+ 876            else:
+ 877                chunks[-1].append(token)
+ 878
+ 879        expressions = []
+ 880
+ 881        for tokens in chunks:
+ 882            self._index = -1
+ 883            self._tokens = tokens
+ 884            self._advance()
+ 885
+ 886            expressions.append(parse_method(self))
+ 887
+ 888            if self._index < len(self._tokens):
+ 889                self.raise_error("Invalid expression / Unexpected token")
+ 890
+ 891            self.check_errors()
+ 892
+ 893        return expressions
+ 894
+ 895    def check_errors(self) -> None:
+ 896        """
+ 897        Logs or raises any found errors, depending on the chosen error level setting.
+ 898        """
+ 899        if self.error_level == ErrorLevel.WARN:
+ 900            for error in self.errors:
+ 901                logger.error(str(error))
+ 902        elif self.error_level == ErrorLevel.RAISE and self.errors:
+ 903            raise ParseError(
+ 904                concat_messages(self.errors, self.max_errors),
+ 905                errors=merge_errors(self.errors),
+ 906            )
+ 907
+ 908    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
+ 909        """
+ 910        Appends an error in the list of recorded errors or raises it, depending on the chosen
+ 911        error level setting.
+ 912        """
+ 913        token = token or self._curr or self._prev or Token.string("")
+ 914        start = token.start
+ 915        end = token.end + 1
+ 916        start_context = self.sql[max(start - self.error_message_context, 0) : start]
+ 917        highlight = self.sql[start:end]
+ 918        end_context = self.sql[end : end + self.error_message_context]
+ 919
+ 920        error = ParseError.new(
+ 921            f"{message}. Line {token.line}, Col: {token.col}.\n"
+ 922            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
+ 923            description=message,
+ 924            line=token.line,
+ 925            col=token.col,
+ 926            start_context=start_context,
+ 927            highlight=highlight,
+ 928            end_context=end_context,
+ 929        )
+ 930
+ 931        if self.error_level == ErrorLevel.IMMEDIATE:
+ 932            raise error
+ 933
+ 934        self.errors.append(error)
  935
- 936        Args:
- 937            exp_class: the expression class to instantiate.
- 938            comments: an optional list of comments to attach to the expression.
- 939            kwargs: the arguments to set for the expression along with their respective values.
- 940
- 941        Returns:
- 942            The target expression.
- 943        """
- 944        instance = exp_class(**kwargs)
- 945        instance.add_comments(comments) if comments else self._add_comments(instance)
- 946        self.validate_expression(instance)
- 947        return instance
- 948
- 949    def _add_comments(self, expression: t.Optional[exp.Expression]) -> None:
- 950        if expression and self._prev_comments:
- 951            expression.add_comments(self._prev_comments)
- 952            self._prev_comments = None
- 953
- 954    def validate_expression(
- 955        self, expression: exp.Expression, args: t.Optional[t.List] = None
- 956    ) -> None:
- 957        """
- 958        Validates an already instantiated expression, making sure that all its mandatory arguments
- 959        are set.
- 960
- 961        Args:
- 962            expression: the expression to validate.
- 963            args: an optional list of items that was used to instantiate the expression, if it's a Func.
- 964        """
- 965        if self.error_level == ErrorLevel.IGNORE:
- 966            return
- 967
- 968        for error_message in expression.error_messages(args):
- 969            self.raise_error(error_message)
- 970
- 971    def _find_sql(self, start: Token, end: Token) -> str:
- 972        return self.sql[start.start : end.end + 1]
+ 936    def expression(
+ 937        self, exp_class: t.Type[E], comments: t.Optional[t.List[str]] = None, **kwargs
+ 938    ) -> E:
+ 939        """
+ 940        Creates a new, validated Expression.
+ 941
+ 942        Args:
+ 943            exp_class: the expression class to instantiate.
+ 944            comments: an optional list of comments to attach to the expression.
+ 945            kwargs: the arguments to set for the expression along with their respective values.
+ 946
+ 947        Returns:
+ 948            The target expression.
+ 949        """
+ 950        instance = exp_class(**kwargs)
+ 951        instance.add_comments(comments) if comments else self._add_comments(instance)
+ 952        self.validate_expression(instance)
+ 953        return instance
+ 954
+ 955    def _add_comments(self, expression: t.Optional[exp.Expression]) -> None:
+ 956        if expression and self._prev_comments:
+ 957            expression.add_comments(self._prev_comments)
+ 958            self._prev_comments = None
+ 959
+ 960    def validate_expression(
+ 961        self, expression: exp.Expression, args: t.Optional[t.List] = None
+ 962    ) -> None:
+ 963        """
+ 964        Validates an already instantiated expression, making sure that all its mandatory arguments
+ 965        are set.
+ 966
+ 967        Args:
+ 968            expression: the expression to validate.
+ 969            args: an optional list of items that was used to instantiate the expression, if it's a Func.
+ 970        """
+ 971        if self.error_level == ErrorLevel.IGNORE:
+ 972            return
  973
- 974    def _advance(self, times: int = 1) -> None:
- 975        self._index += times
- 976        self._curr = seq_get(self._tokens, self._index)
- 977        self._next = seq_get(self._tokens, self._index + 1)
- 978        if self._index > 0:
- 979            self._prev = self._tokens[self._index - 1]
- 980            self._prev_comments = self._prev.comments
- 981        else:
- 982            self._prev = None
- 983            self._prev_comments = None
- 984
- 985    def _retreat(self, index: int) -> None:
- 986        if index != self._index:
- 987            self._advance(index - self._index)
- 988
- 989    def _parse_command(self) -> exp.Command:
- 990        return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string())
- 991
- 992    def _parse_comment(self, allow_exists: bool = True) -> exp.Expression:
- 993        start = self._prev
- 994        exists = self._parse_exists() if allow_exists else None
- 995
- 996        self._match(TokenType.ON)
+ 974        for error_message in expression.error_messages(args):
+ 975            self.raise_error(error_message)
+ 976
+ 977    def _find_sql(self, start: Token, end: Token) -> str:
+ 978        return self.sql[start.start : end.end + 1]
+ 979
+ 980    def _advance(self, times: int = 1) -> None:
+ 981        self._index += times
+ 982        self._curr = seq_get(self._tokens, self._index)
+ 983        self._next = seq_get(self._tokens, self._index + 1)
+ 984        if self._index > 0:
+ 985            self._prev = self._tokens[self._index - 1]
+ 986            self._prev_comments = self._prev.comments
+ 987        else:
+ 988            self._prev = None
+ 989            self._prev_comments = None
+ 990
+ 991    def _retreat(self, index: int) -> None:
+ 992        if index != self._index:
+ 993            self._advance(index - self._index)
+ 994
+ 995    def _parse_command(self) -> exp.Command:
+ 996        return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string())
  997
- 998        kind = self._match_set(self.CREATABLES) and self._prev
- 999
-1000        if not kind:
-1001            return self._parse_as_command(start)
-1002
-1003        if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
-1004            this = self._parse_user_defined_function(kind=kind.token_type)
-1005        elif kind.token_type == TokenType.TABLE:
-1006            this = self._parse_table(alias_tokens=self.COMMENT_TABLE_ALIAS_TOKENS)
-1007        elif kind.token_type == TokenType.COLUMN:
-1008            this = self._parse_column()
-1009        else:
-1010            this = self._parse_id_var()
-1011
-1012        self._match(TokenType.IS)
-1013
-1014        return self.expression(
-1015            exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists
-1016        )
+ 998    def _parse_comment(self, allow_exists: bool = True) -> exp.Expression:
+ 999        start = self._prev
+1000        exists = self._parse_exists() if allow_exists else None
+1001
+1002        self._match(TokenType.ON)
+1003
+1004        kind = self._match_set(self.CREATABLES) and self._prev
+1005
+1006        if not kind:
+1007            return self._parse_as_command(start)
+1008
+1009        if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
+1010            this = self._parse_user_defined_function(kind=kind.token_type)
+1011        elif kind.token_type == TokenType.TABLE:
+1012            this = self._parse_table(alias_tokens=self.COMMENT_TABLE_ALIAS_TOKENS)
+1013        elif kind.token_type == TokenType.COLUMN:
+1014            this = self._parse_column()
+1015        else:
+1016            this = self._parse_id_var()
 1017
-1018    # https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl
-1019    def _parse_ttl(self) -> exp.Expression:
-1020        def _parse_ttl_action() -> t.Optional[exp.Expression]:
-1021            this = self._parse_bitwise()
-1022
-1023            if self._match_text_seq("DELETE"):
-1024                return self.expression(exp.MergeTreeTTLAction, this=this, delete=True)
-1025            if self._match_text_seq("RECOMPRESS"):
-1026                return self.expression(
-1027                    exp.MergeTreeTTLAction, this=this, recompress=self._parse_bitwise()
-1028                )
-1029            if self._match_text_seq("TO", "DISK"):
-1030                return self.expression(
-1031                    exp.MergeTreeTTLAction, this=this, to_disk=self._parse_string()
-1032                )
-1033            if self._match_text_seq("TO", "VOLUME"):
-1034                return self.expression(
-1035                    exp.MergeTreeTTLAction, this=this, to_volume=self._parse_string()
-1036                )
-1037
-1038            return this
-1039
-1040        expressions = self._parse_csv(_parse_ttl_action)
-1041        where = self._parse_where()
-1042        group = self._parse_group()
+1018        self._match(TokenType.IS)
+1019
+1020        return self.expression(
+1021            exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists
+1022        )
+1023
+1024    # https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl
+1025    def _parse_ttl(self) -> exp.Expression:
+1026        def _parse_ttl_action() -> t.Optional[exp.Expression]:
+1027            this = self._parse_bitwise()
+1028
+1029            if self._match_text_seq("DELETE"):
+1030                return self.expression(exp.MergeTreeTTLAction, this=this, delete=True)
+1031            if self._match_text_seq("RECOMPRESS"):
+1032                return self.expression(
+1033                    exp.MergeTreeTTLAction, this=this, recompress=self._parse_bitwise()
+1034                )
+1035            if self._match_text_seq("TO", "DISK"):
+1036                return self.expression(
+1037                    exp.MergeTreeTTLAction, this=this, to_disk=self._parse_string()
+1038                )
+1039            if self._match_text_seq("TO", "VOLUME"):
+1040                return self.expression(
+1041                    exp.MergeTreeTTLAction, this=this, to_volume=self._parse_string()
+1042                )
 1043
-1044        aggregates = None
-1045        if group and self._match(TokenType.SET):
-1046            aggregates = self._parse_csv(self._parse_set_item)
-1047
-1048        return self.expression(
-1049            exp.MergeTreeTTL,
-1050            expressions=expressions,
-1051            where=where,
-1052            group=group,
-1053            aggregates=aggregates,
-1054        )
-1055
-1056    def _parse_statement(self) -> t.Optional[exp.Expression]:
-1057        if self._curr is None:
-1058            return None
-1059
-1060        if self._match_set(self.STATEMENT_PARSERS):
-1061            return self.STATEMENT_PARSERS[self._prev.token_type](self)
-1062
-1063        if self._match_set(Tokenizer.COMMANDS):
-1064            return self._parse_command()
+1044            return this
+1045
+1046        expressions = self._parse_csv(_parse_ttl_action)
+1047        where = self._parse_where()
+1048        group = self._parse_group()
+1049
+1050        aggregates = None
+1051        if group and self._match(TokenType.SET):
+1052            aggregates = self._parse_csv(self._parse_set_item)
+1053
+1054        return self.expression(
+1055            exp.MergeTreeTTL,
+1056            expressions=expressions,
+1057            where=where,
+1058            group=group,
+1059            aggregates=aggregates,
+1060        )
+1061
+1062    def _parse_statement(self) -> t.Optional[exp.Expression]:
+1063        if self._curr is None:
+1064            return None
 1065
-1066        expression = self._parse_expression()
-1067        expression = self._parse_set_operations(expression) if expression else self._parse_select()
-1068        return self._parse_query_modifiers(expression)
-1069
-1070    def _parse_drop(self) -> t.Optional[exp.Drop | exp.Command]:
-1071        start = self._prev
-1072        temporary = self._match(TokenType.TEMPORARY)
-1073        materialized = self._match_text_seq("MATERIALIZED")
-1074        kind = self._match_set(self.CREATABLES) and self._prev.text
-1075        if not kind:
-1076            return self._parse_as_command(start)
-1077
-1078        return self.expression(
-1079            exp.Drop,
-1080            exists=self._parse_exists(),
-1081            this=self._parse_table(schema=True),
-1082            kind=kind,
-1083            temporary=temporary,
-1084            materialized=materialized,
-1085            cascade=self._match_text_seq("CASCADE"),
-1086            constraints=self._match_text_seq("CONSTRAINTS"),
-1087            purge=self._match_text_seq("PURGE"),
-1088        )
-1089
-1090    def _parse_exists(self, not_: bool = False) -> t.Optional[bool]:
-1091        return (
-1092            self._match(TokenType.IF)
-1093            and (not not_ or self._match(TokenType.NOT))
-1094            and self._match(TokenType.EXISTS)
-1095        )
-1096
-1097    def _parse_create(self) -> t.Optional[exp.Expression]:
-1098        start = self._prev
-1099        replace = self._prev.text.upper() == "REPLACE" or self._match_pair(
-1100            TokenType.OR, TokenType.REPLACE
+1066        if self._match_set(self.STATEMENT_PARSERS):
+1067            return self.STATEMENT_PARSERS[self._prev.token_type](self)
+1068
+1069        if self._match_set(Tokenizer.COMMANDS):
+1070            return self._parse_command()
+1071
+1072        expression = self._parse_expression()
+1073        expression = self._parse_set_operations(expression) if expression else self._parse_select()
+1074        return self._parse_query_modifiers(expression)
+1075
+1076    def _parse_drop(self) -> t.Optional[exp.Drop | exp.Command]:
+1077        start = self._prev
+1078        temporary = self._match(TokenType.TEMPORARY)
+1079        materialized = self._match_text_seq("MATERIALIZED")
+1080        kind = self._match_set(self.CREATABLES) and self._prev.text
+1081        if not kind:
+1082            return self._parse_as_command(start)
+1083
+1084        return self.expression(
+1085            exp.Drop,
+1086            exists=self._parse_exists(),
+1087            this=self._parse_table(schema=True),
+1088            kind=kind,
+1089            temporary=temporary,
+1090            materialized=materialized,
+1091            cascade=self._match_text_seq("CASCADE"),
+1092            constraints=self._match_text_seq("CONSTRAINTS"),
+1093            purge=self._match_text_seq("PURGE"),
+1094        )
+1095
+1096    def _parse_exists(self, not_: bool = False) -> t.Optional[bool]:
+1097        return (
+1098            self._match(TokenType.IF)
+1099            and (not not_ or self._match(TokenType.NOT))
+1100            and self._match(TokenType.EXISTS)
 1101        )
-1102        unique = self._match(TokenType.UNIQUE)
-1103
-1104        if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False):
-1105            self._match(TokenType.TABLE)
-1106
-1107        properties = None
-1108        create_token = self._match_set(self.CREATABLES) and self._prev
+1102
+1103    def _parse_create(self) -> t.Optional[exp.Expression]:
+1104        start = self._prev
+1105        replace = self._prev.text.upper() == "REPLACE" or self._match_pair(
+1106            TokenType.OR, TokenType.REPLACE
+1107        )
+1108        unique = self._match(TokenType.UNIQUE)
 1109
-1110        if not create_token:
-1111            properties = self._parse_properties()  # exp.Properties.Location.POST_CREATE
-1112            create_token = self._match_set(self.CREATABLES) and self._prev
-1113
-1114            if not properties or not create_token:
-1115                return self._parse_as_command(start)
-1116
-1117        exists = self._parse_exists(not_=True)
-1118        this = None
-1119        expression = None
-1120        indexes = None
-1121        no_schema_binding = None
-1122        begin = None
-1123        clone = None
-1124
-1125        if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
-1126            this = self._parse_user_defined_function(kind=create_token.token_type)
-1127            temp_properties = self._parse_properties()
-1128            if properties and temp_properties:
-1129                properties.expressions.extend(temp_properties.expressions)
-1130            elif temp_properties:
-1131                properties = temp_properties
-1132
-1133            self._match(TokenType.ALIAS)
-1134            begin = self._match(TokenType.BEGIN)
-1135            return_ = self._match_text_seq("RETURN")
-1136            expression = self._parse_statement()
-1137
-1138            if return_:
-1139                expression = self.expression(exp.Return, this=expression)
-1140        elif create_token.token_type == TokenType.INDEX:
-1141            this = self._parse_index()
-1142        elif create_token.token_type in self.DB_CREATABLES:
-1143            table_parts = self._parse_table_parts(schema=True)
-1144
-1145            # exp.Properties.Location.POST_NAME
-1146            if self._match(TokenType.COMMA):
-1147                temp_properties = self._parse_properties(before=True)
-1148                if properties and temp_properties:
-1149                    properties.expressions.extend(temp_properties.expressions)
-1150                elif temp_properties:
-1151                    properties = temp_properties
-1152
-1153            this = self._parse_schema(this=table_parts)
-1154
-1155            # exp.Properties.Location.POST_SCHEMA and POST_WITH
-1156            temp_properties = self._parse_properties()
-1157            if properties and temp_properties:
-1158                properties.expressions.extend(temp_properties.expressions)
-1159            elif temp_properties:
-1160                properties = temp_properties
-1161
-1162            self._match(TokenType.ALIAS)
-1163
-1164            # exp.Properties.Location.POST_ALIAS
-1165            if not (
-1166                self._match(TokenType.SELECT, advance=False)
-1167                or self._match(TokenType.WITH, advance=False)
-1168                or self._match(TokenType.L_PAREN, advance=False)
-1169            ):
-1170                temp_properties = self._parse_properties()
-1171                if properties and temp_properties:
-1172                    properties.expressions.extend(temp_properties.expressions)
-1173                elif temp_properties:
-1174                    properties = temp_properties
-1175
-1176            expression = self._parse_ddl_select()
-1177
-1178            if create_token.token_type == TokenType.TABLE:
-1179                indexes = []
-1180                while True:
-1181                    index = self._parse_create_table_index()
-1182
-1183                    # exp.Properties.Location.POST_EXPRESSION or exp.Properties.Location.POST_INDEX
-1184                    temp_properties = self._parse_properties()
-1185                    if properties and temp_properties:
-1186                        properties.expressions.extend(temp_properties.expressions)
-1187                    elif temp_properties:
-1188                        properties = temp_properties
-1189
-1190                    if not index:
-1191                        break
-1192                    else:
-1193                        self._match(TokenType.COMMA)
-1194                        indexes.append(index)
-1195            elif create_token.token_type == TokenType.VIEW:
-1196                if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"):
-1197                    no_schema_binding = True
-1198
-1199            if self._match_text_seq("CLONE"):
-1200                clone = self._parse_table(schema=True)
-1201                when = self._match_texts({"AT", "BEFORE"}) and self._prev.text.upper()
-1202                clone_kind = (
-1203                    self._match(TokenType.L_PAREN)
-1204                    and self._match_texts(self.CLONE_KINDS)
-1205                    and self._prev.text.upper()
-1206                )
-1207                clone_expression = self._match(TokenType.FARROW) and self._parse_bitwise()
-1208                self._match(TokenType.R_PAREN)
-1209                clone = self.expression(
-1210                    exp.Clone, this=clone, when=when, kind=clone_kind, expression=clone_expression
-1211                )
-1212
-1213        return self.expression(
-1214            exp.Create,
-1215            this=this,
-1216            kind=create_token.text,
-1217            replace=replace,
-1218            unique=unique,
-1219            expression=expression,
-1220            exists=exists,
-1221            properties=properties,
-1222            indexes=indexes,
-1223            no_schema_binding=no_schema_binding,
-1224            begin=begin,
-1225            clone=clone,
-1226        )
-1227
-1228    def _parse_property_before(self) -> t.Optional[exp.Expression]:
-1229        # only used for teradata currently
-1230        self._match(TokenType.COMMA)
-1231
-1232        kwargs = {
-1233            "no": self._match_text_seq("NO"),
-1234            "dual": self._match_text_seq("DUAL"),
-1235            "before": self._match_text_seq("BEFORE"),
-1236            "default": self._match_text_seq("DEFAULT"),
-1237            "local": (self._match_text_seq("LOCAL") and "LOCAL")
-1238            or (self._match_text_seq("NOT", "LOCAL") and "NOT LOCAL"),
-1239            "after": self._match_text_seq("AFTER"),
-1240            "minimum": self._match_texts(("MIN", "MINIMUM")),
-1241            "maximum": self._match_texts(("MAX", "MAXIMUM")),
-1242        }
-1243
-1244        if self._match_texts(self.PROPERTY_PARSERS):
-1245            parser = self.PROPERTY_PARSERS[self._prev.text.upper()]
-1246            try:
-1247                return parser(self, **{k: v for k, v in kwargs.items() if v})
-1248            except TypeError:
-1249                self.raise_error(f"Cannot parse property '{self._prev.text}'")
-1250
-1251        return None
-1252
-1253    def _parse_property(self) -> t.Optional[exp.Expression]:
-1254        if self._match_texts(self.PROPERTY_PARSERS):
-1255            return self.PROPERTY_PARSERS[self._prev.text.upper()](self)
+1110        if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False):
+1111            self._match(TokenType.TABLE)
+1112
+1113        properties = None
+1114        create_token = self._match_set(self.CREATABLES) and self._prev
+1115
+1116        if not create_token:
+1117            properties = self._parse_properties()  # exp.Properties.Location.POST_CREATE
+1118            create_token = self._match_set(self.CREATABLES) and self._prev
+1119
+1120            if not properties or not create_token:
+1121                return self._parse_as_command(start)
+1122
+1123        exists = self._parse_exists(not_=True)
+1124        this = None
+1125        expression = None
+1126        indexes = None
+1127        no_schema_binding = None
+1128        begin = None
+1129        clone = None
+1130
+1131        if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
+1132            this = self._parse_user_defined_function(kind=create_token.token_type)
+1133            temp_properties = self._parse_properties()
+1134            if properties and temp_properties:
+1135                properties.expressions.extend(temp_properties.expressions)
+1136            elif temp_properties:
+1137                properties = temp_properties
+1138
+1139            self._match(TokenType.ALIAS)
+1140            begin = self._match(TokenType.BEGIN)
+1141            return_ = self._match_text_seq("RETURN")
+1142            expression = self._parse_statement()
+1143
+1144            if return_:
+1145                expression = self.expression(exp.Return, this=expression)
+1146        elif create_token.token_type == TokenType.INDEX:
+1147            this = self._parse_index(index=self._parse_id_var())
+1148        elif create_token.token_type in self.DB_CREATABLES:
+1149            table_parts = self._parse_table_parts(schema=True)
+1150
+1151            # exp.Properties.Location.POST_NAME
+1152            if self._match(TokenType.COMMA):
+1153                temp_properties = self._parse_properties(before=True)
+1154                if properties and temp_properties:
+1155                    properties.expressions.extend(temp_properties.expressions)
+1156                elif temp_properties:
+1157                    properties = temp_properties
+1158
+1159            this = self._parse_schema(this=table_parts)
+1160
+1161            # exp.Properties.Location.POST_SCHEMA and POST_WITH
+1162            temp_properties = self._parse_properties()
+1163            if properties and temp_properties:
+1164                properties.expressions.extend(temp_properties.expressions)
+1165            elif temp_properties:
+1166                properties = temp_properties
+1167
+1168            self._match(TokenType.ALIAS)
+1169
+1170            # exp.Properties.Location.POST_ALIAS
+1171            if not (
+1172                self._match(TokenType.SELECT, advance=False)
+1173                or self._match(TokenType.WITH, advance=False)
+1174                or self._match(TokenType.L_PAREN, advance=False)
+1175            ):
+1176                temp_properties = self._parse_properties()
+1177                if properties and temp_properties:
+1178                    properties.expressions.extend(temp_properties.expressions)
+1179                elif temp_properties:
+1180                    properties = temp_properties
+1181
+1182            expression = self._parse_ddl_select()
+1183
+1184            if create_token.token_type == TokenType.TABLE:
+1185                indexes = []
+1186                while True:
+1187                    index = self._parse_index()
+1188
+1189                    # exp.Properties.Location.POST_EXPRESSION or exp.Properties.Location.POST_INDEX
+1190                    temp_properties = self._parse_properties()
+1191                    if properties and temp_properties:
+1192                        properties.expressions.extend(temp_properties.expressions)
+1193                    elif temp_properties:
+1194                        properties = temp_properties
+1195
+1196                    if not index:
+1197                        break
+1198                    else:
+1199                        self._match(TokenType.COMMA)
+1200                        indexes.append(index)
+1201            elif create_token.token_type == TokenType.VIEW:
+1202                if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"):
+1203                    no_schema_binding = True
+1204
+1205            if self._match_text_seq("CLONE"):
+1206                clone = self._parse_table(schema=True)
+1207                when = self._match_texts({"AT", "BEFORE"}) and self._prev.text.upper()
+1208                clone_kind = (
+1209                    self._match(TokenType.L_PAREN)
+1210                    and self._match_texts(self.CLONE_KINDS)
+1211                    and self._prev.text.upper()
+1212                )
+1213                clone_expression = self._match(TokenType.FARROW) and self._parse_bitwise()
+1214                self._match(TokenType.R_PAREN)
+1215                clone = self.expression(
+1216                    exp.Clone, this=clone, when=when, kind=clone_kind, expression=clone_expression
+1217                )
+1218
+1219        return self.expression(
+1220            exp.Create,
+1221            this=this,
+1222            kind=create_token.text,
+1223            replace=replace,
+1224            unique=unique,
+1225            expression=expression,
+1226            exists=exists,
+1227            properties=properties,
+1228            indexes=indexes,
+1229            no_schema_binding=no_schema_binding,
+1230            begin=begin,
+1231            clone=clone,
+1232        )
+1233
+1234    def _parse_property_before(self) -> t.Optional[exp.Expression]:
+1235        # only used for teradata currently
+1236        self._match(TokenType.COMMA)
+1237
+1238        kwargs = {
+1239            "no": self._match_text_seq("NO"),
+1240            "dual": self._match_text_seq("DUAL"),
+1241            "before": self._match_text_seq("BEFORE"),
+1242            "default": self._match_text_seq("DEFAULT"),
+1243            "local": (self._match_text_seq("LOCAL") and "LOCAL")
+1244            or (self._match_text_seq("NOT", "LOCAL") and "NOT LOCAL"),
+1245            "after": self._match_text_seq("AFTER"),
+1246            "minimum": self._match_texts(("MIN", "MINIMUM")),
+1247            "maximum": self._match_texts(("MAX", "MAXIMUM")),
+1248        }
+1249
+1250        if self._match_texts(self.PROPERTY_PARSERS):
+1251            parser = self.PROPERTY_PARSERS[self._prev.text.upper()]
+1252            try:
+1253                return parser(self, **{k: v for k, v in kwargs.items() if v})
+1254            except TypeError:
+1255                self.raise_error(f"Cannot parse property '{self._prev.text}'")
 1256
-1257        if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET):
-1258            return self._parse_character_set(default=True)
-1259
-1260        if self._match_text_seq("COMPOUND", "SORTKEY"):
-1261            return self._parse_sortkey(compound=True)
+1257        return None
+1258
+1259    def _parse_property(self) -> t.Optional[exp.Expression]:
+1260        if self._match_texts(self.PROPERTY_PARSERS):
+1261            return self.PROPERTY_PARSERS[self._prev.text.upper()](self)
 1262
-1263        if self._match_text_seq("SQL", "SECURITY"):
-1264            return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER"))
+1263        if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET):
+1264            return self._parse_character_set(default=True)
 1265
-1266        assignment = self._match_pair(
-1267            TokenType.VAR, TokenType.EQ, advance=False
-1268        ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False)
-1269
-1270        if assignment:
-1271            key = self._parse_var_or_string()
-1272            self._match(TokenType.EQ)
-1273            return self.expression(exp.Property, this=key, value=self._parse_column())
-1274
-1275        return None
-1276
-1277    def _parse_stored(self) -> exp.Expression:
-1278        self._match(TokenType.ALIAS)
-1279
-1280        input_format = self._parse_string() if self._match_text_seq("INPUTFORMAT") else None
-1281        output_format = self._parse_string() if self._match_text_seq("OUTPUTFORMAT") else None
+1266        if self._match_text_seq("COMPOUND", "SORTKEY"):
+1267            return self._parse_sortkey(compound=True)
+1268
+1269        if self._match_text_seq("SQL", "SECURITY"):
+1270            return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER"))
+1271
+1272        assignment = self._match_pair(
+1273            TokenType.VAR, TokenType.EQ, advance=False
+1274        ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False)
+1275
+1276        if assignment:
+1277            key = self._parse_var_or_string()
+1278            self._match(TokenType.EQ)
+1279            return self.expression(exp.Property, this=key, value=self._parse_column())
+1280
+1281        return None
 1282
-1283        return self.expression(
-1284            exp.FileFormatProperty,
-1285            this=self.expression(
-1286                exp.InputOutputFormat, input_format=input_format, output_format=output_format
-1287            )
-1288            if input_format or output_format
-1289            else self._parse_var_or_string() or self._parse_number() or self._parse_id_var(),
-1290        )
-1291
-1292    def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression:
-1293        self._match(TokenType.EQ)
-1294        self._match(TokenType.ALIAS)
-1295        return self.expression(exp_class, this=self._parse_field())
-1296
-1297    def _parse_properties(self, before=None) -> t.Optional[exp.Expression]:
-1298        properties = []
-1299
-1300        while True:
-1301            if before:
-1302                prop = self._parse_property_before()
-1303            else:
-1304                prop = self._parse_property()
+1283    def _parse_stored(self) -> exp.Expression:
+1284        self._match(TokenType.ALIAS)
+1285
+1286        input_format = self._parse_string() if self._match_text_seq("INPUTFORMAT") else None
+1287        output_format = self._parse_string() if self._match_text_seq("OUTPUTFORMAT") else None
+1288
+1289        return self.expression(
+1290            exp.FileFormatProperty,
+1291            this=self.expression(
+1292                exp.InputOutputFormat, input_format=input_format, output_format=output_format
+1293            )
+1294            if input_format or output_format
+1295            else self._parse_var_or_string() or self._parse_number() or self._parse_id_var(),
+1296        )
+1297
+1298    def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression:
+1299        self._match(TokenType.EQ)
+1300        self._match(TokenType.ALIAS)
+1301        return self.expression(exp_class, this=self._parse_field())
+1302
+1303    def _parse_properties(self, before: t.Optional[bool] = None) -> t.Optional[exp.Expression]:
+1304        properties = []
 1305
-1306            if not prop:
-1307                break
-1308            for p in ensure_list(prop):
-1309                properties.append(p)
-1310
-1311        if properties:
-1312            return self.expression(exp.Properties, expressions=properties)
-1313
-1314        return None
-1315
-1316    def _parse_fallback(self, no: bool = False) -> exp.Expression:
-1317        return self.expression(
-1318            exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION")
-1319        )
-1320
-1321    def _parse_volatile_property(self) -> exp.Expression:
-1322        if self._index >= 2:
-1323            pre_volatile_token = self._tokens[self._index - 2]
-1324        else:
-1325            pre_volatile_token = None
+1306        while True:
+1307            if before:
+1308                prop = self._parse_property_before()
+1309            else:
+1310                prop = self._parse_property()
+1311
+1312            if not prop:
+1313                break
+1314            for p in ensure_list(prop):
+1315                properties.append(p)
+1316
+1317        if properties:
+1318            return self.expression(exp.Properties, expressions=properties)
+1319
+1320        return None
+1321
+1322    def _parse_fallback(self, no: bool = False) -> exp.Expression:
+1323        return self.expression(
+1324            exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION")
+1325        )
 1326
-1327        if pre_volatile_token and pre_volatile_token.token_type in (
-1328            TokenType.CREATE,
-1329            TokenType.REPLACE,
-1330            TokenType.UNIQUE,
-1331        ):
-1332            return exp.VolatileProperty()
-1333
-1334        return self.expression(exp.StabilityProperty, this=exp.Literal.string("VOLATILE"))
-1335
-1336    def _parse_with_property(
-1337        self,
-1338    ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]:
-1339        self._match(TokenType.WITH)
-1340        if self._match(TokenType.L_PAREN, advance=False):
-1341            return self._parse_wrapped_csv(self._parse_property)
-1342
-1343        if self._match_text_seq("JOURNAL"):
-1344            return self._parse_withjournaltable()
-1345
-1346        if self._match_text_seq("DATA"):
-1347            return self._parse_withdata(no=False)
-1348        elif self._match_text_seq("NO", "DATA"):
-1349            return self._parse_withdata(no=True)
-1350
-1351        if not self._next:
-1352            return None
-1353
-1354        return self._parse_withisolatedloading()
-1355
-1356    # https://dev.mysql.com/doc/refman/8.0/en/create-view.html
-1357    def _parse_definer(self) -> t.Optional[exp.Expression]:
-1358        self._match(TokenType.EQ)
+1327    def _parse_volatile_property(self) -> exp.Expression:
+1328        if self._index >= 2:
+1329            pre_volatile_token = self._tokens[self._index - 2]
+1330        else:
+1331            pre_volatile_token = None
+1332
+1333        if pre_volatile_token and pre_volatile_token.token_type in (
+1334            TokenType.CREATE,
+1335            TokenType.REPLACE,
+1336            TokenType.UNIQUE,
+1337        ):
+1338            return exp.VolatileProperty()
+1339
+1340        return self.expression(exp.StabilityProperty, this=exp.Literal.string("VOLATILE"))
+1341
+1342    def _parse_with_property(
+1343        self,
+1344    ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]:
+1345        self._match(TokenType.WITH)
+1346        if self._match(TokenType.L_PAREN, advance=False):
+1347            return self._parse_wrapped_csv(self._parse_property)
+1348
+1349        if self._match_text_seq("JOURNAL"):
+1350            return self._parse_withjournaltable()
+1351
+1352        if self._match_text_seq("DATA"):
+1353            return self._parse_withdata(no=False)
+1354        elif self._match_text_seq("NO", "DATA"):
+1355            return self._parse_withdata(no=True)
+1356
+1357        if not self._next:
+1358            return None
 1359
-1360        user = self._parse_id_var()
-1361        self._match(TokenType.PARAMETER)
-1362        host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text)
-1363
-1364        if not user or not host:
-1365            return None
-1366
-1367        return exp.DefinerProperty(this=f"{user}@{host}")
-1368
-1369    def _parse_withjournaltable(self) -> exp.Expression:
-1370        self._match(TokenType.TABLE)
-1371        self._match(TokenType.EQ)
-1372        return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts())
-1373
-1374    def _parse_log(self, no: bool = False) -> exp.Expression:
-1375        return self.expression(exp.LogProperty, no=no)
-1376
-1377    def _parse_journal(self, **kwargs) -> exp.Expression:
-1378        return self.expression(exp.JournalProperty, **kwargs)
+1360        return self._parse_withisolatedloading()
+1361
+1362    # https://dev.mysql.com/doc/refman/8.0/en/create-view.html
+1363    def _parse_definer(self) -> t.Optional[exp.Expression]:
+1364        self._match(TokenType.EQ)
+1365
+1366        user = self._parse_id_var()
+1367        self._match(TokenType.PARAMETER)
+1368        host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text)
+1369
+1370        if not user or not host:
+1371            return None
+1372
+1373        return exp.DefinerProperty(this=f"{user}@{host}")
+1374
+1375    def _parse_withjournaltable(self) -> exp.Expression:
+1376        self._match(TokenType.TABLE)
+1377        self._match(TokenType.EQ)
+1378        return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts())
 1379
-1380    def _parse_checksum(self) -> exp.Expression:
-1381        self._match(TokenType.EQ)
+1380    def _parse_log(self, no: bool = False) -> exp.Expression:
+1381        return self.expression(exp.LogProperty, no=no)
 1382
-1383        on = None
-1384        if self._match(TokenType.ON):
-1385            on = True
-1386        elif self._match_text_seq("OFF"):
-1387            on = False
-1388        default = self._match(TokenType.DEFAULT)
-1389
-1390        return self.expression(
-1391            exp.ChecksumProperty,
-1392            on=on,
-1393            default=default,
-1394        )
+1383    def _parse_journal(self, **kwargs) -> exp.Expression:
+1384        return self.expression(exp.JournalProperty, **kwargs)
+1385
+1386    def _parse_checksum(self) -> exp.Expression:
+1387        self._match(TokenType.EQ)
+1388
+1389        on = None
+1390        if self._match(TokenType.ON):
+1391            on = True
+1392        elif self._match_text_seq("OFF"):
+1393            on = False
+1394        default = self._match(TokenType.DEFAULT)
 1395
-1396    def _parse_cluster(self) -> t.Optional[exp.Expression]:
-1397        if not self._match_text_seq("BY"):
-1398            self._retreat(self._index - 1)
-1399            return None
-1400        return self.expression(
-1401            exp.Cluster,
-1402            expressions=self._parse_csv(self._parse_ordered),
-1403        )
-1404
-1405    def _parse_freespace(self) -> exp.Expression:
-1406        self._match(TokenType.EQ)
-1407        return self.expression(
-1408            exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT)
+1396        return self.expression(
+1397            exp.ChecksumProperty,
+1398            on=on,
+1399            default=default,
+1400        )
+1401
+1402    def _parse_cluster(self) -> t.Optional[exp.Expression]:
+1403        if not self._match_text_seq("BY"):
+1404            self._retreat(self._index - 1)
+1405            return None
+1406        return self.expression(
+1407            exp.Cluster,
+1408            expressions=self._parse_csv(self._parse_ordered),
 1409        )
 1410
-1411    def _parse_mergeblockratio(self, no: bool = False, default: bool = False) -> exp.Expression:
-1412        if self._match(TokenType.EQ):
-1413            return self.expression(
-1414                exp.MergeBlockRatioProperty,
-1415                this=self._parse_number(),
-1416                percent=self._match(TokenType.PERCENT),
-1417            )
-1418        return self.expression(
-1419            exp.MergeBlockRatioProperty,
-1420            no=no,
-1421            default=default,
-1422        )
-1423
-1424    def _parse_datablocksize(
-1425        self,
-1426        default: t.Optional[bool] = None,
-1427        minimum: t.Optional[bool] = None,
-1428        maximum: t.Optional[bool] = None,
-1429    ) -> exp.Expression:
-1430        self._match(TokenType.EQ)
-1431        size = self._parse_number()
-1432        units = None
-1433        if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")):
-1434            units = self._prev.text
-1435        return self.expression(
-1436            exp.DataBlocksizeProperty,
-1437            size=size,
-1438            units=units,
-1439            default=default,
-1440            minimum=minimum,
-1441            maximum=maximum,
-1442        )
-1443
-1444    def _parse_blockcompression(self) -> exp.Expression:
-1445        self._match(TokenType.EQ)
-1446        always = self._match_text_seq("ALWAYS")
-1447        manual = self._match_text_seq("MANUAL")
-1448        never = self._match_text_seq("NEVER")
-1449        default = self._match_text_seq("DEFAULT")
-1450        autotemp = None
-1451        if self._match_text_seq("AUTOTEMP"):
-1452            autotemp = self._parse_schema()
-1453
-1454        return self.expression(
-1455            exp.BlockCompressionProperty,
-1456            always=always,
-1457            manual=manual,
-1458            never=never,
-1459            default=default,
-1460            autotemp=autotemp,
-1461        )
-1462
-1463    def _parse_withisolatedloading(self) -> exp.Expression:
-1464        no = self._match_text_seq("NO")
-1465        concurrent = self._match_text_seq("CONCURRENT")
-1466        self._match_text_seq("ISOLATED", "LOADING")
-1467        for_all = self._match_text_seq("FOR", "ALL")
-1468        for_insert = self._match_text_seq("FOR", "INSERT")
-1469        for_none = self._match_text_seq("FOR", "NONE")
-1470        return self.expression(
-1471            exp.IsolatedLoadingProperty,
-1472            no=no,
-1473            concurrent=concurrent,
-1474            for_all=for_all,
-1475            for_insert=for_insert,
-1476            for_none=for_none,
-1477        )
-1478
-1479    def _parse_locking(self) -> exp.Expression:
-1480        if self._match(TokenType.TABLE):
-1481            kind = "TABLE"
-1482        elif self._match(TokenType.VIEW):
-1483            kind = "VIEW"
-1484        elif self._match(TokenType.ROW):
-1485            kind = "ROW"
-1486        elif self._match_text_seq("DATABASE"):
-1487            kind = "DATABASE"
-1488        else:
-1489            kind = None
-1490
-1491        if kind in ("DATABASE", "TABLE", "VIEW"):
-1492            this = self._parse_table_parts()
-1493        else:
-1494            this = None
-1495
-1496        if self._match(TokenType.FOR):
-1497            for_or_in = "FOR"
-1498        elif self._match(TokenType.IN):
-1499            for_or_in = "IN"
-1500        else:
-1501            for_or_in = None
-1502
-1503        if self._match_text_seq("ACCESS"):
-1504            lock_type = "ACCESS"
-1505        elif self._match_texts(("EXCL", "EXCLUSIVE")):
-1506            lock_type = "EXCLUSIVE"
-1507        elif self._match_text_seq("SHARE"):
-1508            lock_type = "SHARE"
-1509        elif self._match_text_seq("READ"):
-1510            lock_type = "READ"
-1511        elif self._match_text_seq("WRITE"):
-1512            lock_type = "WRITE"
-1513        elif self._match_text_seq("CHECKSUM"):
-1514            lock_type = "CHECKSUM"
-1515        else:
-1516            lock_type = None
-1517
-1518        override = self._match_text_seq("OVERRIDE")
-1519
-1520        return self.expression(
-1521            exp.LockingProperty,
-1522            this=this,
-1523            kind=kind,
-1524            for_or_in=for_or_in,
-1525            lock_type=lock_type,
-1526            override=override,
-1527        )
-1528
-1529    def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]:
-1530        if self._match(TokenType.PARTITION_BY):
-1531            return self._parse_csv(self._parse_conjunction)
-1532        return []
-1533
-1534    def _parse_partitioned_by(self) -> exp.Expression:
-1535        self._match(TokenType.EQ)
-1536        return self.expression(
-1537            exp.PartitionedByProperty,
-1538            this=self._parse_schema() or self._parse_bracket(self._parse_field()),
-1539        )
-1540
-1541    def _parse_withdata(self, no=False) -> exp.Expression:
-1542        if self._match_text_seq("AND", "STATISTICS"):
-1543            statistics = True
-1544        elif self._match_text_seq("AND", "NO", "STATISTICS"):
-1545            statistics = False
-1546        else:
-1547            statistics = None
-1548
-1549        return self.expression(exp.WithDataProperty, no=no, statistics=statistics)
-1550
-1551    def _parse_no_property(self) -> t.Optional[exp.Property]:
-1552        if self._match_text_seq("PRIMARY", "INDEX"):
-1553            return exp.NoPrimaryIndexProperty()
-1554        return None
-1555
-1556    def _parse_on_property(self) -> t.Optional[exp.Property]:
-1557        if self._match_text_seq("COMMIT", "PRESERVE", "ROWS"):
-1558            return exp.OnCommitProperty()
-1559        elif self._match_text_seq("COMMIT", "DELETE", "ROWS"):
-1560            return exp.OnCommitProperty(delete=True)
-1561        return None
-1562
-1563    def _parse_distkey(self) -> exp.Expression:
-1564        return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var))
-1565
-1566    def _parse_create_like(self) -> t.Optional[exp.Expression]:
-1567        table = self._parse_table(schema=True)
-1568        options = []
-1569        while self._match_texts(("INCLUDING", "EXCLUDING")):
-1570            this = self._prev.text.upper()
-1571            id_var = self._parse_id_var()
-1572
-1573            if not id_var:
-1574                return None
-1575
-1576            options.append(
-1577                self.expression(
-1578                    exp.Property,
-1579                    this=this,
-1580                    value=exp.Var(this=id_var.this.upper()),
-1581                )
-1582            )
-1583        return self.expression(exp.LikeProperty, this=table, expressions=options)
-1584
-1585    def _parse_sortkey(self, compound: bool = False) -> exp.Expression:
-1586        return self.expression(
-1587            exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound
-1588        )
-1589
-1590    def _parse_character_set(self, default: bool = False) -> exp.Expression:
-1591        self._match(TokenType.EQ)
+1411    def _parse_freespace(self) -> exp.Expression:
+1412        self._match(TokenType.EQ)
+1413        return self.expression(
+1414            exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT)
+1415        )
+1416
+1417    def _parse_mergeblockratio(self, no: bool = False, default: bool = False) -> exp.Expression:
+1418        if self._match(TokenType.EQ):
+1419            return self.expression(
+1420                exp.MergeBlockRatioProperty,
+1421                this=self._parse_number(),
+1422                percent=self._match(TokenType.PERCENT),
+1423            )
+1424        return self.expression(
+1425            exp.MergeBlockRatioProperty,
+1426            no=no,
+1427            default=default,
+1428        )
+1429
+1430    def _parse_datablocksize(
+1431        self,
+1432        default: t.Optional[bool] = None,
+1433        minimum: t.Optional[bool] = None,
+1434        maximum: t.Optional[bool] = None,
+1435    ) -> exp.Expression:
+1436        self._match(TokenType.EQ)
+1437        size = self._parse_number()
+1438        units = None
+1439        if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")):
+1440            units = self._prev.text
+1441        return self.expression(
+1442            exp.DataBlocksizeProperty,
+1443            size=size,
+1444            units=units,
+1445            default=default,
+1446            minimum=minimum,
+1447            maximum=maximum,
+1448        )
+1449
+1450    def _parse_blockcompression(self) -> exp.Expression:
+1451        self._match(TokenType.EQ)
+1452        always = self._match_text_seq("ALWAYS")
+1453        manual = self._match_text_seq("MANUAL")
+1454        never = self._match_text_seq("NEVER")
+1455        default = self._match_text_seq("DEFAULT")
+1456        autotemp = None
+1457        if self._match_text_seq("AUTOTEMP"):
+1458            autotemp = self._parse_schema()
+1459
+1460        return self.expression(
+1461            exp.BlockCompressionProperty,
+1462            always=always,
+1463            manual=manual,
+1464            never=never,
+1465            default=default,
+1466            autotemp=autotemp,
+1467        )
+1468
+1469    def _parse_withisolatedloading(self) -> exp.Expression:
+1470        no = self._match_text_seq("NO")
+1471        concurrent = self._match_text_seq("CONCURRENT")
+1472        self._match_text_seq("ISOLATED", "LOADING")
+1473        for_all = self._match_text_seq("FOR", "ALL")
+1474        for_insert = self._match_text_seq("FOR", "INSERT")
+1475        for_none = self._match_text_seq("FOR", "NONE")
+1476        return self.expression(
+1477            exp.IsolatedLoadingProperty,
+1478            no=no,
+1479            concurrent=concurrent,
+1480            for_all=for_all,
+1481            for_insert=for_insert,
+1482            for_none=for_none,
+1483        )
+1484
+1485    def _parse_locking(self) -> exp.Expression:
+1486        if self._match(TokenType.TABLE):
+1487            kind = "TABLE"
+1488        elif self._match(TokenType.VIEW):
+1489            kind = "VIEW"
+1490        elif self._match(TokenType.ROW):
+1491            kind = "ROW"
+1492        elif self._match_text_seq("DATABASE"):
+1493            kind = "DATABASE"
+1494        else:
+1495            kind = None
+1496
+1497        if kind in ("DATABASE", "TABLE", "VIEW"):
+1498            this = self._parse_table_parts()
+1499        else:
+1500            this = None
+1501
+1502        if self._match(TokenType.FOR):
+1503            for_or_in = "FOR"
+1504        elif self._match(TokenType.IN):
+1505            for_or_in = "IN"
+1506        else:
+1507            for_or_in = None
+1508
+1509        if self._match_text_seq("ACCESS"):
+1510            lock_type = "ACCESS"
+1511        elif self._match_texts(("EXCL", "EXCLUSIVE")):
+1512            lock_type = "EXCLUSIVE"
+1513        elif self._match_text_seq("SHARE"):
+1514            lock_type = "SHARE"
+1515        elif self._match_text_seq("READ"):
+1516            lock_type = "READ"
+1517        elif self._match_text_seq("WRITE"):
+1518            lock_type = "WRITE"
+1519        elif self._match_text_seq("CHECKSUM"):
+1520            lock_type = "CHECKSUM"
+1521        else:
+1522            lock_type = None
+1523
+1524        override = self._match_text_seq("OVERRIDE")
+1525
+1526        return self.expression(
+1527            exp.LockingProperty,
+1528            this=this,
+1529            kind=kind,
+1530            for_or_in=for_or_in,
+1531            lock_type=lock_type,
+1532            override=override,
+1533        )
+1534
+1535    def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]:
+1536        if self._match(TokenType.PARTITION_BY):
+1537            return self._parse_csv(self._parse_conjunction)
+1538        return []
+1539
+1540    def _parse_partitioned_by(self) -> exp.Expression:
+1541        self._match(TokenType.EQ)
+1542        return self.expression(
+1543            exp.PartitionedByProperty,
+1544            this=self._parse_schema() or self._parse_bracket(self._parse_field()),
+1545        )
+1546
+1547    def _parse_withdata(self, no: bool = False) -> exp.Expression:
+1548        if self._match_text_seq("AND", "STATISTICS"):
+1549            statistics = True
+1550        elif self._match_text_seq("AND", "NO", "STATISTICS"):
+1551            statistics = False
+1552        else:
+1553            statistics = None
+1554
+1555        return self.expression(exp.WithDataProperty, no=no, statistics=statistics)
+1556
+1557    def _parse_no_property(self) -> t.Optional[exp.Property]:
+1558        if self._match_text_seq("PRIMARY", "INDEX"):
+1559            return exp.NoPrimaryIndexProperty()
+1560        return None
+1561
+1562    def _parse_on_property(self) -> t.Optional[exp.Property]:
+1563        if self._match_text_seq("COMMIT", "PRESERVE", "ROWS"):
+1564            return exp.OnCommitProperty()
+1565        elif self._match_text_seq("COMMIT", "DELETE", "ROWS"):
+1566            return exp.OnCommitProperty(delete=True)
+1567        return None
+1568
+1569    def _parse_distkey(self) -> exp.Expression:
+1570        return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var))
+1571
+1572    def _parse_create_like(self) -> t.Optional[exp.Expression]:
+1573        table = self._parse_table(schema=True)
+1574        options = []
+1575        while self._match_texts(("INCLUDING", "EXCLUDING")):
+1576            this = self._prev.text.upper()
+1577            id_var = self._parse_id_var()
+1578
+1579            if not id_var:
+1580                return None
+1581
+1582            options.append(
+1583                self.expression(
+1584                    exp.Property,
+1585                    this=this,
+1586                    value=exp.Var(this=id_var.this.upper()),
+1587                )
+1588            )
+1589        return self.expression(exp.LikeProperty, this=table, expressions=options)
+1590
+1591    def _parse_sortkey(self, compound: bool = False) -> exp.Expression:
 1592        return self.expression(
-1593            exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default
+1593            exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound
 1594        )
 1595
-1596    def _parse_returns(self) -> exp.Expression:
-1597        value: t.Optional[exp.Expression]
-1598        is_table = self._match(TokenType.TABLE)
-1599
-1600        if is_table:
-1601            if self._match(TokenType.LT):
-1602                value = self.expression(
-1603                    exp.Schema,
-1604                    this="TABLE",
-1605                    expressions=self._parse_csv(self._parse_struct_types),
-1606                )
-1607                if not self._match(TokenType.GT):
-1608                    self.raise_error("Expecting >")
-1609            else:
-1610                value = self._parse_schema(exp.Var(this="TABLE"))
-1611        else:
-1612            value = self._parse_types()
-1613
-1614        return self.expression(exp.ReturnsProperty, this=value, is_table=is_table)
-1615
-1616    def _parse_describe(self) -> exp.Expression:
-1617        kind = self._match_set(self.CREATABLES) and self._prev.text
-1618        this = self._parse_table()
+1596    def _parse_character_set(self, default: bool = False) -> exp.Expression:
+1597        self._match(TokenType.EQ)
+1598        return self.expression(
+1599            exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default
+1600        )
+1601
+1602    def _parse_returns(self) -> exp.Expression:
+1603        value: t.Optional[exp.Expression]
+1604        is_table = self._match(TokenType.TABLE)
+1605
+1606        if is_table:
+1607            if self._match(TokenType.LT):
+1608                value = self.expression(
+1609                    exp.Schema,
+1610                    this="TABLE",
+1611                    expressions=self._parse_csv(self._parse_struct_types),
+1612                )
+1613                if not self._match(TokenType.GT):
+1614                    self.raise_error("Expecting >")
+1615            else:
+1616                value = self._parse_schema(exp.Var(this="TABLE"))
+1617        else:
+1618            value = self._parse_types()
 1619
-1620        return self.expression(exp.Describe, this=this, kind=kind)
+1620        return self.expression(exp.ReturnsProperty, this=value, is_table=is_table)
 1621
-1622    def _parse_insert(self) -> exp.Expression:
-1623        overwrite = self._match(TokenType.OVERWRITE)
-1624        local = self._match_text_seq("LOCAL")
-1625        alternative = None
-1626
-1627        if self._match_text_seq("DIRECTORY"):
-1628            this: t.Optional[exp.Expression] = self.expression(
-1629                exp.Directory,
-1630                this=self._parse_var_or_string(),
-1631                local=local,
-1632                row_format=self._parse_row_format(match_row=True),
-1633            )
-1634        else:
-1635            if self._match(TokenType.OR):
-1636                alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text
-1637
-1638            self._match(TokenType.INTO)
-1639            self._match(TokenType.TABLE)
-1640            this = self._parse_table(schema=True)
-1641
-1642        return self.expression(
-1643            exp.Insert,
-1644            this=this,
-1645            exists=self._parse_exists(),
-1646            partition=self._parse_partition(),
-1647            expression=self._parse_ddl_select(),
-1648            conflict=self._parse_on_conflict(),
-1649            returning=self._parse_returning(),
-1650            overwrite=overwrite,
-1651            alternative=alternative,
-1652        )
-1653
-1654    def _parse_on_conflict(self) -> t.Optional[exp.Expression]:
-1655        conflict = self._match_text_seq("ON", "CONFLICT")
-1656        duplicate = self._match_text_seq("ON", "DUPLICATE", "KEY")
-1657
-1658        if not (conflict or duplicate):
-1659            return None
-1660
-1661        nothing = None
-1662        expressions = None
-1663        key = None
-1664        constraint = None
-1665
-1666        if conflict:
-1667            if self._match_text_seq("ON", "CONSTRAINT"):
-1668                constraint = self._parse_id_var()
-1669            else:
-1670                key = self._parse_csv(self._parse_value)
+1622    def _parse_describe(self) -> exp.Expression:
+1623        kind = self._match_set(self.CREATABLES) and self._prev.text
+1624        this = self._parse_table()
+1625
+1626        return self.expression(exp.Describe, this=this, kind=kind)
+1627
+1628    def _parse_insert(self) -> exp.Expression:
+1629        overwrite = self._match(TokenType.OVERWRITE)
+1630        local = self._match_text_seq("LOCAL")
+1631        alternative = None
+1632
+1633        if self._match_text_seq("DIRECTORY"):
+1634            this: t.Optional[exp.Expression] = self.expression(
+1635                exp.Directory,
+1636                this=self._parse_var_or_string(),
+1637                local=local,
+1638                row_format=self._parse_row_format(match_row=True),
+1639            )
+1640        else:
+1641            if self._match(TokenType.OR):
+1642                alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text
+1643
+1644            self._match(TokenType.INTO)
+1645            self._match(TokenType.TABLE)
+1646            this = self._parse_table(schema=True)
+1647
+1648        return self.expression(
+1649            exp.Insert,
+1650            this=this,
+1651            exists=self._parse_exists(),
+1652            partition=self._parse_partition(),
+1653            expression=self._parse_ddl_select(),
+1654            conflict=self._parse_on_conflict(),
+1655            returning=self._parse_returning(),
+1656            overwrite=overwrite,
+1657            alternative=alternative,
+1658        )
+1659
+1660    def _parse_on_conflict(self) -> t.Optional[exp.Expression]:
+1661        conflict = self._match_text_seq("ON", "CONFLICT")
+1662        duplicate = self._match_text_seq("ON", "DUPLICATE", "KEY")
+1663
+1664        if not (conflict or duplicate):
+1665            return None
+1666
+1667        nothing = None
+1668        expressions = None
+1669        key = None
+1670        constraint = None
 1671
-1672        self._match_text_seq("DO")
-1673        if self._match_text_seq("NOTHING"):
-1674            nothing = True
-1675        else:
-1676            self._match(TokenType.UPDATE)
-1677            expressions = self._match(TokenType.SET) and self._parse_csv(self._parse_equality)
-1678
-1679        return self.expression(
-1680            exp.OnConflict,
-1681            duplicate=duplicate,
-1682            expressions=expressions,
-1683            nothing=nothing,
-1684            key=key,
-1685            constraint=constraint,
-1686        )
-1687
-1688    def _parse_returning(self) -> t.Optional[exp.Expression]:
-1689        if not self._match(TokenType.RETURNING):
-1690            return None
-1691
-1692        return self.expression(exp.Returning, expressions=self._parse_csv(self._parse_column))
+1672        if conflict:
+1673            if self._match_text_seq("ON", "CONSTRAINT"):
+1674                constraint = self._parse_id_var()
+1675            else:
+1676                key = self._parse_csv(self._parse_value)
+1677
+1678        self._match_text_seq("DO")
+1679        if self._match_text_seq("NOTHING"):
+1680            nothing = True
+1681        else:
+1682            self._match(TokenType.UPDATE)
+1683            expressions = self._match(TokenType.SET) and self._parse_csv(self._parse_equality)
+1684
+1685        return self.expression(
+1686            exp.OnConflict,
+1687            duplicate=duplicate,
+1688            expressions=expressions,
+1689            nothing=nothing,
+1690            key=key,
+1691            constraint=constraint,
+1692        )
 1693
-1694    def _parse_row(self) -> t.Optional[exp.Expression]:
-1695        if not self._match(TokenType.FORMAT):
+1694    def _parse_returning(self) -> t.Optional[exp.Expression]:
+1695        if not self._match(TokenType.RETURNING):
 1696            return None
-1697        return self._parse_row_format()
-1698
-1699    def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]:
-1700        if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT):
-1701            return None
-1702
-1703        if self._match_text_seq("SERDE"):
-1704            return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string())
-1705
-1706        self._match_text_seq("DELIMITED")
-1707
-1708        kwargs = {}
-1709
-1710        if self._match_text_seq("FIELDS", "TERMINATED", "BY"):
-1711            kwargs["fields"] = self._parse_string()
-1712            if self._match_text_seq("ESCAPED", "BY"):
-1713                kwargs["escaped"] = self._parse_string()
-1714        if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"):
-1715            kwargs["collection_items"] = self._parse_string()
-1716        if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"):
-1717            kwargs["map_keys"] = self._parse_string()
-1718        if self._match_text_seq("LINES", "TERMINATED", "BY"):
-1719            kwargs["lines"] = self._parse_string()
-1720        if self._match_text_seq("NULL", "DEFINED", "AS"):
-1721            kwargs["null"] = self._parse_string()
-1722
-1723        return self.expression(exp.RowFormatDelimitedProperty, **kwargs)  # type: ignore
-1724
-1725    def _parse_load(self) -> exp.Expression:
-1726        if self._match_text_seq("DATA"):
-1727            local = self._match_text_seq("LOCAL")
-1728            self._match_text_seq("INPATH")
-1729            inpath = self._parse_string()
-1730            overwrite = self._match(TokenType.OVERWRITE)
-1731            self._match_pair(TokenType.INTO, TokenType.TABLE)
-1732
-1733            return self.expression(
-1734                exp.LoadData,
-1735                this=self._parse_table(schema=True),
-1736                local=local,
-1737                overwrite=overwrite,
-1738                inpath=inpath,
-1739                partition=self._parse_partition(),
-1740                input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(),
-1741                serde=self._match_text_seq("SERDE") and self._parse_string(),
-1742            )
-1743        return self._parse_as_command(self._prev)
-1744
-1745    def _parse_delete(self) -> exp.Expression:
-1746        self._match(TokenType.FROM)
-1747
-1748        return self.expression(
-1749            exp.Delete,
-1750            this=self._parse_table(),
-1751            using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()),
-1752            where=self._parse_where(),
-1753            returning=self._parse_returning(),
-1754        )
-1755
-1756    def _parse_update(self) -> exp.Expression:
-1757        return self.expression(
-1758            exp.Update,
-1759            **{  # type: ignore
-1760                "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS),
-1761                "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality),
-1762                "from": self._parse_from(modifiers=True),
-1763                "where": self._parse_where(),
-1764                "returning": self._parse_returning(),
-1765            },
-1766        )
-1767
-1768    def _parse_uncache(self) -> exp.Expression:
-1769        if not self._match(TokenType.TABLE):
-1770            self.raise_error("Expecting TABLE after UNCACHE")
-1771
-1772        return self.expression(
-1773            exp.Uncache,
-1774            exists=self._parse_exists(),
-1775            this=self._parse_table(schema=True),
-1776        )
+1697
+1698        return self.expression(exp.Returning, expressions=self._parse_csv(self._parse_column))
+1699
+1700    def _parse_row(self) -> t.Optional[exp.Expression]:
+1701        if not self._match(TokenType.FORMAT):
+1702            return None
+1703        return self._parse_row_format()
+1704
+1705    def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]:
+1706        if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT):
+1707            return None
+1708
+1709        if self._match_text_seq("SERDE"):
+1710            return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string())
+1711
+1712        self._match_text_seq("DELIMITED")
+1713
+1714        kwargs = {}
+1715
+1716        if self._match_text_seq("FIELDS", "TERMINATED", "BY"):
+1717            kwargs["fields"] = self._parse_string()
+1718            if self._match_text_seq("ESCAPED", "BY"):
+1719                kwargs["escaped"] = self._parse_string()
+1720        if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"):
+1721            kwargs["collection_items"] = self._parse_string()
+1722        if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"):
+1723            kwargs["map_keys"] = self._parse_string()
+1724        if self._match_text_seq("LINES", "TERMINATED", "BY"):
+1725            kwargs["lines"] = self._parse_string()
+1726        if self._match_text_seq("NULL", "DEFINED", "AS"):
+1727            kwargs["null"] = self._parse_string()
+1728
+1729        return self.expression(exp.RowFormatDelimitedProperty, **kwargs)  # type: ignore
+1730
+1731    def _parse_load(self) -> exp.Expression:
+1732        if self._match_text_seq("DATA"):
+1733            local = self._match_text_seq("LOCAL")
+1734            self._match_text_seq("INPATH")
+1735            inpath = self._parse_string()
+1736            overwrite = self._match(TokenType.OVERWRITE)
+1737            self._match_pair(TokenType.INTO, TokenType.TABLE)
+1738
+1739            return self.expression(
+1740                exp.LoadData,
+1741                this=self._parse_table(schema=True),
+1742                local=local,
+1743                overwrite=overwrite,
+1744                inpath=inpath,
+1745                partition=self._parse_partition(),
+1746                input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(),
+1747                serde=self._match_text_seq("SERDE") and self._parse_string(),
+1748            )
+1749        return self._parse_as_command(self._prev)
+1750
+1751    def _parse_delete(self) -> exp.Expression:
+1752        self._match(TokenType.FROM)
+1753
+1754        return self.expression(
+1755            exp.Delete,
+1756            this=self._parse_table(),
+1757            using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()),
+1758            where=self._parse_where(),
+1759            returning=self._parse_returning(),
+1760        )
+1761
+1762    def _parse_update(self) -> exp.Expression:
+1763        return self.expression(
+1764            exp.Update,
+1765            **{  # type: ignore
+1766                "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS),
+1767                "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality),
+1768                "from": self._parse_from(modifiers=True),
+1769                "where": self._parse_where(),
+1770                "returning": self._parse_returning(),
+1771            },
+1772        )
+1773
+1774    def _parse_uncache(self) -> exp.Expression:
+1775        if not self._match(TokenType.TABLE):
+1776            self.raise_error("Expecting TABLE after UNCACHE")
 1777
-1778    def _parse_cache(self) -> exp.Expression:
-1779        lazy = self._match_text_seq("LAZY")
-1780        self._match(TokenType.TABLE)
-1781        table = self._parse_table(schema=True)
-1782        options = []
+1778        return self.expression(
+1779            exp.Uncache,
+1780            exists=self._parse_exists(),
+1781            this=self._parse_table(schema=True),
+1782        )
 1783
-1784        if self._match_text_seq("OPTIONS"):
-1785            self._match_l_paren()
-1786            k = self._parse_string()
-1787            self._match(TokenType.EQ)
-1788            v = self._parse_string()
-1789            options = [k, v]
-1790            self._match_r_paren()
-1791
-1792        self._match(TokenType.ALIAS)
-1793        return self.expression(
-1794            exp.Cache,
-1795            this=table,
-1796            lazy=lazy,
-1797            options=options,
-1798            expression=self._parse_select(nested=True),
-1799        )
-1800
-1801    def _parse_partition(self) -> t.Optional[exp.Expression]:
-1802        if not self._match(TokenType.PARTITION):
-1803            return None
-1804
-1805        return self.expression(
-1806            exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction)
-1807        )
-1808
-1809    def _parse_value(self) -> exp.Expression:
-1810        if self._match(TokenType.L_PAREN):
-1811            expressions = self._parse_csv(self._parse_conjunction)
-1812            self._match_r_paren()
-1813            return self.expression(exp.Tuple, expressions=expressions)
+1784    def _parse_cache(self) -> exp.Expression:
+1785        lazy = self._match_text_seq("LAZY")
+1786        self._match(TokenType.TABLE)
+1787        table = self._parse_table(schema=True)
+1788        options = []
+1789
+1790        if self._match_text_seq("OPTIONS"):
+1791            self._match_l_paren()
+1792            k = self._parse_string()
+1793            self._match(TokenType.EQ)
+1794            v = self._parse_string()
+1795            options = [k, v]
+1796            self._match_r_paren()
+1797
+1798        self._match(TokenType.ALIAS)
+1799        return self.expression(
+1800            exp.Cache,
+1801            this=table,
+1802            lazy=lazy,
+1803            options=options,
+1804            expression=self._parse_select(nested=True),
+1805        )
+1806
+1807    def _parse_partition(self) -> t.Optional[exp.Expression]:
+1808        if not self._match(TokenType.PARTITION):
+1809            return None
+1810
+1811        return self.expression(
+1812            exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction)
+1813        )
 1814
-1815        # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows.
-1816        # Source: https://prestodb.io/docs/current/sql/values.html
-1817        return self.expression(exp.Tuple, expressions=[self._parse_conjunction()])
-1818
-1819    def _parse_select(
-1820        self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True
-1821    ) -> t.Optional[exp.Expression]:
-1822        cte = self._parse_with()
-1823        if cte:
-1824            this = self._parse_statement()
-1825
-1826            if not this:
-1827                self.raise_error("Failed to parse any statement following CTE")
-1828                return cte
-1829
-1830            if "with" in this.arg_types:
-1831                this.set("with", cte)
-1832            else:
-1833                self.raise_error(f"{this.key} does not support CTE")
-1834                this = cte
-1835        elif self._match(TokenType.SELECT):
-1836            comments = self._prev_comments
-1837
-1838            hint = self._parse_hint()
-1839            all_ = self._match(TokenType.ALL)
-1840            distinct = self._match(TokenType.DISTINCT)
-1841
-1842            kind = (
-1843                self._match(TokenType.ALIAS)
-1844                and self._match_texts(("STRUCT", "VALUE"))
-1845                and self._prev.text
-1846            )
+1815    def _parse_value(self) -> exp.Expression:
+1816        if self._match(TokenType.L_PAREN):
+1817            expressions = self._parse_csv(self._parse_conjunction)
+1818            self._match_r_paren()
+1819            return self.expression(exp.Tuple, expressions=expressions)
+1820
+1821        # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows.
+1822        # Source: https://prestodb.io/docs/current/sql/values.html
+1823        return self.expression(exp.Tuple, expressions=[self._parse_conjunction()])
+1824
+1825    def _parse_select(
+1826        self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True
+1827    ) -> t.Optional[exp.Expression]:
+1828        cte = self._parse_with()
+1829        if cte:
+1830            this = self._parse_statement()
+1831
+1832            if not this:
+1833                self.raise_error("Failed to parse any statement following CTE")
+1834                return cte
+1835
+1836            if "with" in this.arg_types:
+1837                this.set("with", cte)
+1838            else:
+1839                self.raise_error(f"{this.key} does not support CTE")
+1840                this = cte
+1841        elif self._match(TokenType.SELECT):
+1842            comments = self._prev_comments
+1843
+1844            hint = self._parse_hint()
+1845            all_ = self._match(TokenType.ALL)
+1846            distinct = self._match(TokenType.DISTINCT)
 1847
-1848            if distinct:
-1849                distinct = self.expression(
-1850                    exp.Distinct,
-1851                    on=self._parse_value() if self._match(TokenType.ON) else None,
-1852                )
+1848            kind = (
+1849                self._match(TokenType.ALIAS)
+1850                and self._match_texts(("STRUCT", "VALUE"))
+1851                and self._prev.text
+1852            )
 1853
-1854            if all_ and distinct:
-1855                self.raise_error("Cannot specify both ALL and DISTINCT after SELECT")
-1856
-1857            limit = self._parse_limit(top=True)
-1858            expressions = self._parse_csv(self._parse_expression)
+1854            if distinct:
+1855                distinct = self.expression(
+1856                    exp.Distinct,
+1857                    on=self._parse_value() if self._match(TokenType.ON) else None,
+1858                )
 1859
-1860            this = self.expression(
-1861                exp.Select,
-1862                kind=kind,
-1863                hint=hint,
-1864                distinct=distinct,
-1865                expressions=expressions,
-1866                limit=limit,
-1867            )
-1868            this.comments = comments
-1869
-1870            into = self._parse_into()
-1871            if into:
-1872                this.set("into", into)
-1873
-1874            from_ = self._parse_from()
-1875            if from_:
-1876                this.set("from", from_)
-1877
-1878            this = self._parse_query_modifiers(this)
-1879        elif (table or nested) and self._match(TokenType.L_PAREN):
-1880            this = self._parse_table() if table else self._parse_select(nested=True)
-1881            this = self._parse_set_operations(self._parse_query_modifiers(this))
-1882            self._match_r_paren()
+1860            if all_ and distinct:
+1861                self.raise_error("Cannot specify both ALL and DISTINCT after SELECT")
+1862
+1863            limit = self._parse_limit(top=True)
+1864            expressions = self._parse_csv(self._parse_expression)
+1865
+1866            this = self.expression(
+1867                exp.Select,
+1868                kind=kind,
+1869                hint=hint,
+1870                distinct=distinct,
+1871                expressions=expressions,
+1872                limit=limit,
+1873            )
+1874            this.comments = comments
+1875
+1876            into = self._parse_into()
+1877            if into:
+1878                this.set("into", into)
+1879
+1880            from_ = self._parse_from()
+1881            if from_:
+1882                this.set("from", from_)
 1883
-1884            # early return so that subquery unions aren't parsed again
-1885            # SELECT * FROM (SELECT 1) UNION ALL SELECT 1
-1886            # Union ALL should be a property of the top select node, not the subquery
-1887            return self._parse_subquery(this, parse_alias=parse_subquery_alias)
-1888        elif self._match(TokenType.VALUES):
-1889            this = self.expression(
-1890                exp.Values,
-1891                expressions=self._parse_csv(self._parse_value),
-1892                alias=self._parse_table_alias(),
-1893            )
-1894        else:
-1895            this = None
-1896
-1897        return self._parse_set_operations(this)
-1898
-1899    def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]:
-1900        if not skip_with_token and not self._match(TokenType.WITH):
-1901            return None
+1884            this = self._parse_query_modifiers(this)
+1885        elif (table or nested) and self._match(TokenType.L_PAREN):
+1886            this = self._parse_table() if table else self._parse_select(nested=True)
+1887            this = self._parse_set_operations(self._parse_query_modifiers(this))
+1888            self._match_r_paren()
+1889
+1890            # early return so that subquery unions aren't parsed again
+1891            # SELECT * FROM (SELECT 1) UNION ALL SELECT 1
+1892            # Union ALL should be a property of the top select node, not the subquery
+1893            return self._parse_subquery(this, parse_alias=parse_subquery_alias)
+1894        elif self._match(TokenType.VALUES):
+1895            this = self.expression(
+1896                exp.Values,
+1897                expressions=self._parse_csv(self._parse_value),
+1898                alias=self._parse_table_alias(),
+1899            )
+1900        else:
+1901            this = None
 1902
-1903        comments = self._prev_comments
-1904        recursive = self._match(TokenType.RECURSIVE)
-1905
-1906        expressions = []
-1907        while True:
-1908            expressions.append(self._parse_cte())
-1909
-1910            if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH):
-1911                break
-1912            else:
-1913                self._match(TokenType.WITH)
-1914
-1915        return self.expression(
-1916            exp.With, comments=comments, expressions=expressions, recursive=recursive
-1917        )
-1918
-1919    def _parse_cte(self) -> exp.Expression:
-1920        alias = self._parse_table_alias()
-1921        if not alias or not alias.this:
-1922            self.raise_error("Expected CTE to have alias")
-1923
-1924        self._match(TokenType.ALIAS)
-1925
-1926        return self.expression(
-1927            exp.CTE,
-1928            this=self._parse_wrapped(self._parse_statement),
-1929            alias=alias,
-1930        )
+1903        return self._parse_set_operations(this)
+1904
+1905    def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]:
+1906        if not skip_with_token and not self._match(TokenType.WITH):
+1907            return None
+1908
+1909        comments = self._prev_comments
+1910        recursive = self._match(TokenType.RECURSIVE)
+1911
+1912        expressions = []
+1913        while True:
+1914            expressions.append(self._parse_cte())
+1915
+1916            if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH):
+1917                break
+1918            else:
+1919                self._match(TokenType.WITH)
+1920
+1921        return self.expression(
+1922            exp.With, comments=comments, expressions=expressions, recursive=recursive
+1923        )
+1924
+1925    def _parse_cte(self) -> exp.Expression:
+1926        alias = self._parse_table_alias()
+1927        if not alias or not alias.this:
+1928            self.raise_error("Expected CTE to have alias")
+1929
+1930        self._match(TokenType.ALIAS)
 1931
-1932    def _parse_table_alias(
-1933        self, alias_tokens: t.Optional[t.Collection[TokenType]] = None
-1934    ) -> t.Optional[exp.Expression]:
-1935        any_token = self._match(TokenType.ALIAS)
-1936        alias = (
-1937            self._parse_id_var(any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
-1938            or self._parse_string_as_identifier()
-1939        )
-1940
-1941        index = self._index
-1942        if self._match(TokenType.L_PAREN):
-1943            columns = self._parse_csv(self._parse_function_parameter)
-1944            self._match_r_paren() if columns else self._retreat(index)
-1945        else:
-1946            columns = None
-1947
-1948        if not alias and not columns:
-1949            return None
-1950
-1951        return self.expression(exp.TableAlias, this=alias, columns=columns)
-1952
-1953    def _parse_subquery(
-1954        self, this: t.Optional[exp.Expression], parse_alias: bool = True
-1955    ) -> exp.Expression:
-1956        return self.expression(
-1957            exp.Subquery,
-1958            this=this,
-1959            pivots=self._parse_pivots(),
-1960            alias=self._parse_table_alias() if parse_alias else None,
-1961        )
-1962
-1963    def _parse_query_modifiers(
-1964        self, this: t.Optional[exp.Expression]
-1965    ) -> t.Optional[exp.Expression]:
-1966        if isinstance(this, self.MODIFIABLES):
-1967            for key, parser in self.QUERY_MODIFIER_PARSERS.items():
-1968                expression = parser(self)
-1969
-1970                if expression:
-1971                    this.set(key, expression)
-1972        return this
-1973
-1974    def _parse_hint(self) -> t.Optional[exp.Expression]:
-1975        if self._match(TokenType.HINT):
-1976            hints = self._parse_csv(self._parse_function)
-1977            if not self._match_pair(TokenType.STAR, TokenType.SLASH):
-1978                self.raise_error("Expected */ after HINT")
-1979            return self.expression(exp.Hint, expressions=hints)
-1980
-1981        return None
-1982
-1983    def _parse_into(self) -> t.Optional[exp.Expression]:
-1984        if not self._match(TokenType.INTO):
-1985            return None
+1932        return self.expression(
+1933            exp.CTE,
+1934            this=self._parse_wrapped(self._parse_statement),
+1935            alias=alias,
+1936        )
+1937
+1938    def _parse_table_alias(
+1939        self, alias_tokens: t.Optional[t.Collection[TokenType]] = None
+1940    ) -> t.Optional[exp.Expression]:
+1941        any_token = self._match(TokenType.ALIAS)
+1942        alias = (
+1943            self._parse_id_var(any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
+1944            or self._parse_string_as_identifier()
+1945        )
+1946
+1947        index = self._index
+1948        if self._match(TokenType.L_PAREN):
+1949            columns = self._parse_csv(self._parse_function_parameter)
+1950            self._match_r_paren() if columns else self._retreat(index)
+1951        else:
+1952            columns = None
+1953
+1954        if not alias and not columns:
+1955            return None
+1956
+1957        return self.expression(exp.TableAlias, this=alias, columns=columns)
+1958
+1959    def _parse_subquery(
+1960        self, this: t.Optional[exp.Expression], parse_alias: bool = True
+1961    ) -> exp.Expression:
+1962        return self.expression(
+1963            exp.Subquery,
+1964            this=this,
+1965            pivots=self._parse_pivots(),
+1966            alias=self._parse_table_alias() if parse_alias else None,
+1967        )
+1968
+1969    def _parse_query_modifiers(
+1970        self, this: t.Optional[exp.Expression]
+1971    ) -> t.Optional[exp.Expression]:
+1972        if isinstance(this, self.MODIFIABLES):
+1973            for key, parser in self.QUERY_MODIFIER_PARSERS.items():
+1974                expression = parser(self)
+1975
+1976                if expression:
+1977                    this.set(key, expression)
+1978        return this
+1979
+1980    def _parse_hint(self) -> t.Optional[exp.Expression]:
+1981        if self._match(TokenType.HINT):
+1982            hints = self._parse_csv(self._parse_function)
+1983            if not self._match_pair(TokenType.STAR, TokenType.SLASH):
+1984                self.raise_error("Expected */ after HINT")
+1985            return self.expression(exp.Hint, expressions=hints)
 1986
-1987        temp = self._match(TokenType.TEMPORARY)
-1988        unlogged = self._match_text_seq("UNLOGGED")
-1989        self._match(TokenType.TABLE)
-1990
-1991        return self.expression(
-1992            exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged
-1993        )
-1994
-1995    def _parse_from(self, modifiers: bool = False) -> t.Optional[exp.Expression]:
-1996        if not self._match(TokenType.FROM):
-1997            return None
-1998
-1999        comments = self._prev_comments
-2000        this = self._parse_table()
-2001
-2002        return self.expression(
-2003            exp.From,
-2004            comments=comments,
-2005            this=self._parse_query_modifiers(this) if modifiers else this,
-2006        )
+1987        return None
+1988
+1989    def _parse_into(self) -> t.Optional[exp.Expression]:
+1990        if not self._match(TokenType.INTO):
+1991            return None
+1992
+1993        temp = self._match(TokenType.TEMPORARY)
+1994        unlogged = self._match_text_seq("UNLOGGED")
+1995        self._match(TokenType.TABLE)
+1996
+1997        return self.expression(
+1998            exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged
+1999        )
+2000
+2001    def _parse_from(self, modifiers: bool = False) -> t.Optional[exp.Expression]:
+2002        if not self._match(TokenType.FROM):
+2003            return None
+2004
+2005        comments = self._prev_comments
+2006        this = self._parse_table()
 2007
-2008    def _parse_match_recognize(self) -> t.Optional[exp.Expression]:
-2009        if not self._match(TokenType.MATCH_RECOGNIZE):
-2010            return None
-2011
-2012        self._match_l_paren()
+2008        return self.expression(
+2009            exp.From,
+2010            comments=comments,
+2011            this=self._parse_query_modifiers(this) if modifiers else this,
+2012        )
 2013
-2014        partition = self._parse_partition_by()
-2015        order = self._parse_order()
-2016        measures = (
-2017            self._parse_csv(self._parse_expression) if self._match_text_seq("MEASURES") else None
-2018        )
+2014    def _parse_match_recognize(self) -> t.Optional[exp.Expression]:
+2015        if not self._match(TokenType.MATCH_RECOGNIZE):
+2016            return None
+2017
+2018        self._match_l_paren()
 2019
-2020        if self._match_text_seq("ONE", "ROW", "PER", "MATCH"):
-2021            rows = exp.Var(this="ONE ROW PER MATCH")
-2022        elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"):
-2023            text = "ALL ROWS PER MATCH"
-2024            if self._match_text_seq("SHOW", "EMPTY", "MATCHES"):
-2025                text += f" SHOW EMPTY MATCHES"
-2026            elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"):
-2027                text += f" OMIT EMPTY MATCHES"
-2028            elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"):
-2029                text += f" WITH UNMATCHED ROWS"
-2030            rows = exp.Var(this=text)
-2031        else:
-2032            rows = None
-2033
-2034        if self._match_text_seq("AFTER", "MATCH", "SKIP"):
-2035            text = "AFTER MATCH SKIP"
-2036            if self._match_text_seq("PAST", "LAST", "ROW"):
-2037                text += f" PAST LAST ROW"
-2038            elif self._match_text_seq("TO", "NEXT", "ROW"):
-2039                text += f" TO NEXT ROW"
-2040            elif self._match_text_seq("TO", "FIRST"):
-2041                text += f" TO FIRST {self._advance_any().text}"  # type: ignore
-2042            elif self._match_text_seq("TO", "LAST"):
-2043                text += f" TO LAST {self._advance_any().text}"  # type: ignore
-2044            after = exp.Var(this=text)
-2045        else:
-2046            after = None
-2047
-2048        if self._match_text_seq("PATTERN"):
-2049            self._match_l_paren()
-2050
-2051            if not self._curr:
-2052                self.raise_error("Expecting )", self._curr)
+2020        partition = self._parse_partition_by()
+2021        order = self._parse_order()
+2022        measures = (
+2023            self._parse_csv(self._parse_expression) if self._match_text_seq("MEASURES") else None
+2024        )
+2025
+2026        if self._match_text_seq("ONE", "ROW", "PER", "MATCH"):
+2027            rows = exp.Var(this="ONE ROW PER MATCH")
+2028        elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"):
+2029            text = "ALL ROWS PER MATCH"
+2030            if self._match_text_seq("SHOW", "EMPTY", "MATCHES"):
+2031                text += f" SHOW EMPTY MATCHES"
+2032            elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"):
+2033                text += f" OMIT EMPTY MATCHES"
+2034            elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"):
+2035                text += f" WITH UNMATCHED ROWS"
+2036            rows = exp.Var(this=text)
+2037        else:
+2038            rows = None
+2039
+2040        if self._match_text_seq("AFTER", "MATCH", "SKIP"):
+2041            text = "AFTER MATCH SKIP"
+2042            if self._match_text_seq("PAST", "LAST", "ROW"):
+2043                text += f" PAST LAST ROW"
+2044            elif self._match_text_seq("TO", "NEXT", "ROW"):
+2045                text += f" TO NEXT ROW"
+2046            elif self._match_text_seq("TO", "FIRST"):
+2047                text += f" TO FIRST {self._advance_any().text}"  # type: ignore
+2048            elif self._match_text_seq("TO", "LAST"):
+2049                text += f" TO LAST {self._advance_any().text}"  # type: ignore
+2050            after = exp.Var(this=text)
+2051        else:
+2052            after = None
 2053
-2054            paren = 1
-2055            start = self._curr
+2054        if self._match_text_seq("PATTERN"):
+2055            self._match_l_paren()
 2056
-2057            while self._curr and paren > 0:
-2058                if self._curr.token_type == TokenType.L_PAREN:
-2059                    paren += 1
-2060                if self._curr.token_type == TokenType.R_PAREN:
-2061                    paren -= 1
-2062                end = self._prev
-2063                self._advance()
-2064            if paren > 0:
-2065                self.raise_error("Expecting )", self._curr)
-2066            pattern = exp.Var(this=self._find_sql(start, end))
-2067        else:
-2068            pattern = None
-2069
-2070        define = (
-2071            self._parse_csv(
-2072                lambda: self.expression(
-2073                    exp.Alias,
-2074                    alias=self._parse_id_var(any_token=True),
-2075                    this=self._match(TokenType.ALIAS) and self._parse_conjunction(),
-2076                )
-2077            )
-2078            if self._match_text_seq("DEFINE")
-2079            else None
-2080        )
-2081
-2082        self._match_r_paren()
-2083
-2084        return self.expression(
-2085            exp.MatchRecognize,
-2086            partition_by=partition,
-2087            order=order,
-2088            measures=measures,
-2089            rows=rows,
-2090            after=after,
-2091            pattern=pattern,
-2092            define=define,
-2093            alias=self._parse_table_alias(),
-2094        )
-2095
-2096    def _parse_lateral(self) -> t.Optional[exp.Expression]:
-2097        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY)
-2098        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY)
-2099
-2100        if outer_apply or cross_apply:
-2101            this = self._parse_select(table=True)
-2102            view = None
-2103            outer = not cross_apply
-2104        elif self._match(TokenType.LATERAL):
-2105            this = self._parse_select(table=True)
-2106            view = self._match(TokenType.VIEW)
-2107            outer = self._match(TokenType.OUTER)
-2108        else:
-2109            return None
-2110
-2111        if not this:
-2112            this = self._parse_function() or self._parse_id_var(any_token=False)
-2113            while self._match(TokenType.DOT):
-2114                this = exp.Dot(
-2115                    this=this,
-2116                    expression=self._parse_function() or self._parse_id_var(any_token=False),
-2117                )
-2118
-2119        table_alias: t.Optional[exp.Expression]
-2120
-2121        if view:
-2122            table = self._parse_id_var(any_token=False)
-2123            columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else []
-2124            table_alias = self.expression(exp.TableAlias, this=table, columns=columns)
-2125        else:
-2126            table_alias = self._parse_table_alias()
-2127
-2128        expression = self.expression(
-2129            exp.Lateral,
-2130            this=this,
-2131            view=view,
-2132            outer=outer,
-2133            alias=table_alias,
-2134        )
-2135
-2136        return expression
-2137
-2138    def _parse_join_side_and_kind(
-2139        self,
-2140    ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
-2141        return (
-2142            self._match(TokenType.NATURAL) and self._prev,
-2143            self._match_set(self.JOIN_SIDES) and self._prev,
-2144            self._match_set(self.JOIN_KINDS) and self._prev,
-2145        )
-2146
-2147    def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
-2148        if self._match(TokenType.COMMA):
-2149            return self.expression(exp.Join, this=self._parse_table())
-2150
-2151        index = self._index
-2152        natural, side, kind = self._parse_join_side_and_kind()
-2153        hint = self._prev.text if self._match_texts(self.JOIN_HINTS) else None
-2154        join = self._match(TokenType.JOIN)
-2155
-2156        if not skip_join_token and not join:
-2157            self._retreat(index)
-2158            kind = None
-2159            natural = None
-2160            side = None
+2057            if not self._curr:
+2058                self.raise_error("Expecting )", self._curr)
+2059
+2060            paren = 1
+2061            start = self._curr
+2062
+2063            while self._curr and paren > 0:
+2064                if self._curr.token_type == TokenType.L_PAREN:
+2065                    paren += 1
+2066                if self._curr.token_type == TokenType.R_PAREN:
+2067                    paren -= 1
+2068                end = self._prev
+2069                self._advance()
+2070            if paren > 0:
+2071                self.raise_error("Expecting )", self._curr)
+2072            pattern = exp.Var(this=self._find_sql(start, end))
+2073        else:
+2074            pattern = None
+2075
+2076        define = (
+2077            self._parse_csv(
+2078                lambda: self.expression(
+2079                    exp.Alias,
+2080                    alias=self._parse_id_var(any_token=True),
+2081                    this=self._match(TokenType.ALIAS) and self._parse_conjunction(),
+2082                )
+2083            )
+2084            if self._match_text_seq("DEFINE")
+2085            else None
+2086        )
+2087
+2088        self._match_r_paren()
+2089
+2090        return self.expression(
+2091            exp.MatchRecognize,
+2092            partition_by=partition,
+2093            order=order,
+2094            measures=measures,
+2095            rows=rows,
+2096            after=after,
+2097            pattern=pattern,
+2098            define=define,
+2099            alias=self._parse_table_alias(),
+2100        )
+2101
+2102    def _parse_lateral(self) -> t.Optional[exp.Expression]:
+2103        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY)
+2104        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY)
+2105
+2106        if outer_apply or cross_apply:
+2107            this = self._parse_select(table=True)
+2108            view = None
+2109            outer = not cross_apply
+2110        elif self._match(TokenType.LATERAL):
+2111            this = self._parse_select(table=True)
+2112            view = self._match(TokenType.VIEW)
+2113            outer = self._match(TokenType.OUTER)
+2114        else:
+2115            return None
+2116
+2117        if not this:
+2118            this = self._parse_function() or self._parse_id_var(any_token=False)
+2119            while self._match(TokenType.DOT):
+2120                this = exp.Dot(
+2121                    this=this,
+2122                    expression=self._parse_function() or self._parse_id_var(any_token=False),
+2123                )
+2124
+2125        table_alias: t.Optional[exp.Expression]
+2126
+2127        if view:
+2128            table = self._parse_id_var(any_token=False)
+2129            columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else []
+2130            table_alias = self.expression(exp.TableAlias, this=table, columns=columns)
+2131        else:
+2132            table_alias = self._parse_table_alias()
+2133
+2134        expression = self.expression(
+2135            exp.Lateral,
+2136            this=this,
+2137            view=view,
+2138            outer=outer,
+2139            alias=table_alias,
+2140        )
+2141
+2142        return expression
+2143
+2144    def _parse_join_side_and_kind(
+2145        self,
+2146    ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
+2147        return (
+2148            self._match(TokenType.NATURAL) and self._prev,
+2149            self._match_set(self.JOIN_SIDES) and self._prev,
+2150            self._match_set(self.JOIN_KINDS) and self._prev,
+2151        )
+2152
+2153    def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
+2154        if self._match(TokenType.COMMA):
+2155            return self.expression(exp.Join, this=self._parse_table())
+2156
+2157        index = self._index
+2158        natural, side, kind = self._parse_join_side_and_kind()
+2159        hint = self._prev.text if self._match_texts(self.JOIN_HINTS) else None
+2160        join = self._match(TokenType.JOIN)
 2161
-2162        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY, False)
-2163        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY, False)
-2164
-2165        if not skip_join_token and not join and not outer_apply and not cross_apply:
-2166            return None
+2162        if not skip_join_token and not join:
+2163            self._retreat(index)
+2164            kind = None
+2165            natural = None
+2166            side = None
 2167
-2168        if outer_apply:
-2169            side = Token(TokenType.LEFT, "LEFT")
+2168        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY, False)
+2169        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY, False)
 2170
-2171        kwargs: t.Dict[
-2172            str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]]
-2173        ] = {"this": self._parse_table()}
-2174
-2175        if natural:
-2176            kwargs["natural"] = True
-2177        if side:
-2178            kwargs["side"] = side.text
-2179        if kind:
-2180            kwargs["kind"] = kind.text
-2181        if hint:
-2182            kwargs["hint"] = hint
-2183
-2184        if self._match(TokenType.ON):
-2185            kwargs["on"] = self._parse_conjunction()
-2186        elif self._match(TokenType.USING):
-2187            kwargs["using"] = self._parse_wrapped_id_vars()
-2188
-2189        return self.expression(exp.Join, **kwargs)  # type: ignore
-2190
-2191    def _parse_index(self) -> exp.Expression:
-2192        index = self._parse_id_var()
-2193        self._match(TokenType.ON)
-2194        self._match(TokenType.TABLE)  # hive
-2195
-2196        return self.expression(
-2197            exp.Index,
-2198            this=index,
-2199            table=self.expression(exp.Table, this=self._parse_id_var()),
-2200            columns=self._parse_expression(),
-2201        )
-2202
-2203    def _parse_create_table_index(self) -> t.Optional[exp.Expression]:
-2204        unique = self._match(TokenType.UNIQUE)
-2205        primary = self._match_text_seq("PRIMARY")
-2206        amp = self._match_text_seq("AMP")
-2207        if not self._match(TokenType.INDEX):
-2208            return None
-2209        index = self._parse_id_var()
-2210        columns = None
-2211        if self._match(TokenType.L_PAREN, advance=False):
-2212            columns = self._parse_wrapped_csv(self._parse_column)
-2213        return self.expression(
-2214            exp.Index,
-2215            this=index,
-2216            columns=columns,
-2217            unique=unique,
-2218            primary=primary,
-2219            amp=amp,
-2220        )
-2221
-2222    def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
-2223        return (
-2224            (not schema and self._parse_function())
-2225            or self._parse_id_var(any_token=False)
-2226            or self._parse_string_as_identifier()
-2227            or self._parse_placeholder()
-2228        )
-2229
-2230    def _parse_table_parts(self, schema: bool = False) -> exp.Table:
-2231        catalog = None
-2232        db = None
-2233        table = self._parse_table_part(schema=schema)
-2234
-2235        while self._match(TokenType.DOT):
-2236            if catalog:
-2237                # This allows nesting the table in arbitrarily many dot expressions if needed
-2238                table = self.expression(
-2239                    exp.Dot, this=table, expression=self._parse_table_part(schema=schema)
-2240                )
-2241            else:
-2242                catalog = db
-2243                db = table
-2244                table = self._parse_table_part(schema=schema)
+2171        if not skip_join_token and not join and not outer_apply and not cross_apply:
+2172            return None
+2173
+2174        if outer_apply:
+2175            side = Token(TokenType.LEFT, "LEFT")
+2176
+2177        kwargs: t.Dict[
+2178            str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]]
+2179        ] = {"this": self._parse_table()}
+2180
+2181        if natural:
+2182            kwargs["natural"] = True
+2183        if side:
+2184            kwargs["side"] = side.text
+2185        if kind:
+2186            kwargs["kind"] = kind.text
+2187        if hint:
+2188            kwargs["hint"] = hint
+2189
+2190        if self._match(TokenType.ON):
+2191            kwargs["on"] = self._parse_conjunction()
+2192        elif self._match(TokenType.USING):
+2193            kwargs["using"] = self._parse_wrapped_id_vars()
+2194
+2195        return self.expression(exp.Join, **kwargs)  # type: ignore
+2196
+2197    def _parse_index(
+2198        self,
+2199        index: t.Optional[exp.Expression] = None,
+2200    ) -> t.Optional[exp.Expression]:
+2201        if index:
+2202            unique = None
+2203            primary = None
+2204            amp = None
+2205
+2206            self._match(TokenType.ON)
+2207            self._match(TokenType.TABLE)  # hive
+2208            table = self._parse_table_parts(schema=True)
+2209        else:
+2210            unique = self._match(TokenType.UNIQUE)
+2211            primary = self._match_text_seq("PRIMARY")
+2212            amp = self._match_text_seq("AMP")
+2213            if not self._match(TokenType.INDEX):
+2214                return None
+2215            index = self._parse_id_var()
+2216            table = None
+2217
+2218        if self._match(TokenType.L_PAREN, advance=False):
+2219            columns = self._parse_wrapped_csv(self._parse_ordered)
+2220        else:
+2221            columns = None
+2222
+2223        return self.expression(
+2224            exp.Index,
+2225            this=index,
+2226            table=table,
+2227            columns=columns,
+2228            unique=unique,
+2229            primary=primary,
+2230            amp=amp,
+2231        )
+2232
+2233    def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
+2234        return (
+2235            (not schema and self._parse_function())
+2236            or self._parse_id_var(any_token=False)
+2237            or self._parse_string_as_identifier()
+2238            or self._parse_placeholder()
+2239        )
+2240
+2241    def _parse_table_parts(self, schema: bool = False) -> exp.Table:
+2242        catalog = None
+2243        db = None
+2244        table = self._parse_table_part(schema=schema)
 2245
-2246        if not table:
-2247            self.raise_error(f"Expected table name but got {self._curr}")
-2248
-2249        return self.expression(
-2250            exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots()
-2251        )
-2252
-2253    def _parse_table(
-2254        self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
-2255    ) -> t.Optional[exp.Expression]:
-2256        lateral = self._parse_lateral()
-2257        if lateral:
-2258            return lateral
+2246        while self._match(TokenType.DOT):
+2247            if catalog:
+2248                # This allows nesting the table in arbitrarily many dot expressions if needed
+2249                table = self.expression(
+2250                    exp.Dot, this=table, expression=self._parse_table_part(schema=schema)
+2251                )
+2252            else:
+2253                catalog = db
+2254                db = table
+2255                table = self._parse_table_part(schema=schema)
+2256
+2257        if not table:
+2258            self.raise_error(f"Expected table name but got {self._curr}")
 2259
-2260        unnest = self._parse_unnest()
-2261        if unnest:
-2262            return unnest
+2260        return self.expression(
+2261            exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots()
+2262        )
 2263
-2264        values = self._parse_derived_table_values()
-2265        if values:
-2266            return values
-2267
-2268        subquery = self._parse_select(table=True)
-2269        if subquery:
-2270            if not subquery.args.get("pivots"):
-2271                subquery.set("pivots", self._parse_pivots())
-2272            return subquery
-2273
-2274        this: exp.Expression = self._parse_table_parts(schema=schema)
-2275
-2276        if schema:
-2277            return self._parse_schema(this=this)
+2264    def _parse_table(
+2265        self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
+2266    ) -> t.Optional[exp.Expression]:
+2267        lateral = self._parse_lateral()
+2268        if lateral:
+2269            return lateral
+2270
+2271        unnest = self._parse_unnest()
+2272        if unnest:
+2273            return unnest
+2274
+2275        values = self._parse_derived_table_values()
+2276        if values:
+2277            return values
 2278
-2279        if self.alias_post_tablesample:
-2280            table_sample = self._parse_table_sample()
-2281
-2282        alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
-2283        if alias:
-2284            this.set("alias", alias)
-2285
-2286        if not this.args.get("pivots"):
-2287            this.set("pivots", self._parse_pivots())
-2288
-2289        if self._match_pair(TokenType.WITH, TokenType.L_PAREN):
-2290            this.set(
-2291                "hints",
-2292                self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)),
-2293            )
-2294            self._match_r_paren()
-2295
-2296        if not self.alias_post_tablesample:
-2297            table_sample = self._parse_table_sample()
-2298
-2299        if table_sample:
-2300            table_sample.set("this", this)
-2301            this = table_sample
-2302
-2303        return this
-2304
-2305    def _parse_unnest(self) -> t.Optional[exp.Expression]:
-2306        if not self._match(TokenType.UNNEST):
-2307            return None
-2308
-2309        expressions = self._parse_wrapped_csv(self._parse_type)
-2310        ordinality = self._match_pair(TokenType.WITH, TokenType.ORDINALITY)
-2311        alias = self._parse_table_alias()
-2312
-2313        if alias and self.unnest_column_only:
-2314            if alias.args.get("columns"):
-2315                self.raise_error("Unexpected extra column alias in unnest.")
-2316            alias.set("columns", [alias.this])
-2317            alias.set("this", None)
-2318
-2319        offset = None
-2320        if self._match_pair(TokenType.WITH, TokenType.OFFSET):
-2321            self._match(TokenType.ALIAS)
-2322            offset = self._parse_id_var() or exp.Identifier(this="offset")
+2279        subquery = self._parse_select(table=True)
+2280        if subquery:
+2281            if not subquery.args.get("pivots"):
+2282                subquery.set("pivots", self._parse_pivots())
+2283            return subquery
+2284
+2285        this: exp.Expression = self._parse_table_parts(schema=schema)
+2286
+2287        if schema:
+2288            return self._parse_schema(this=this)
+2289
+2290        if self.alias_post_tablesample:
+2291            table_sample = self._parse_table_sample()
+2292
+2293        alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
+2294        if alias:
+2295            this.set("alias", alias)
+2296
+2297        if not this.args.get("pivots"):
+2298            this.set("pivots", self._parse_pivots())
+2299
+2300        if self._match_pair(TokenType.WITH, TokenType.L_PAREN):
+2301            this.set(
+2302                "hints",
+2303                self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)),
+2304            )
+2305            self._match_r_paren()
+2306
+2307        if not self.alias_post_tablesample:
+2308            table_sample = self._parse_table_sample()
+2309
+2310        if table_sample:
+2311            table_sample.set("this", this)
+2312            this = table_sample
+2313
+2314        return this
+2315
+2316    def _parse_unnest(self) -> t.Optional[exp.Expression]:
+2317        if not self._match(TokenType.UNNEST):
+2318            return None
+2319
+2320        expressions = self._parse_wrapped_csv(self._parse_type)
+2321        ordinality = self._match_pair(TokenType.WITH, TokenType.ORDINALITY)
+2322        alias = self._parse_table_alias()
 2323
-2324        return self.expression(
-2325            exp.Unnest,
-2326            expressions=expressions,
-2327            ordinality=ordinality,
-2328            alias=alias,
-2329            offset=offset,
-2330        )
-2331
-2332    def _parse_derived_table_values(self) -> t.Optional[exp.Expression]:
-2333        is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES)
-2334        if not is_derived and not self._match(TokenType.VALUES):
-2335            return None
-2336
-2337        expressions = self._parse_csv(self._parse_value)
-2338
-2339        if is_derived:
-2340            self._match_r_paren()
-2341
-2342        return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias())
-2343
-2344    def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.Expression]:
-2345        if not self._match(TokenType.TABLE_SAMPLE) and not (
-2346            as_modifier and self._match_text_seq("USING", "SAMPLE")
-2347        ):
-2348            return None
+2324        if alias and self.unnest_column_only:
+2325            if alias.args.get("columns"):
+2326                self.raise_error("Unexpected extra column alias in unnest.")
+2327            alias.set("columns", [alias.this])
+2328            alias.set("this", None)
+2329
+2330        offset = None
+2331        if self._match_pair(TokenType.WITH, TokenType.OFFSET):
+2332            self._match(TokenType.ALIAS)
+2333            offset = self._parse_id_var() or exp.Identifier(this="offset")
+2334
+2335        return self.expression(
+2336            exp.Unnest,
+2337            expressions=expressions,
+2338            ordinality=ordinality,
+2339            alias=alias,
+2340            offset=offset,
+2341        )
+2342
+2343    def _parse_derived_table_values(self) -> t.Optional[exp.Expression]:
+2344        is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES)
+2345        if not is_derived and not self._match(TokenType.VALUES):
+2346            return None
+2347
+2348        expressions = self._parse_csv(self._parse_value)
 2349
-2350        bucket_numerator = None
-2351        bucket_denominator = None
-2352        bucket_field = None
-2353        percent = None
-2354        rows = None
-2355        size = None
-2356        seed = None
-2357
-2358        kind = (
-2359            self._prev.text if self._prev.token_type == TokenType.TABLE_SAMPLE else "USING SAMPLE"
-2360        )
-2361        method = self._parse_var(tokens=(TokenType.ROW,))
-2362
-2363        self._match(TokenType.L_PAREN)
-2364
-2365        num = self._parse_number()
-2366
-2367        if self._match_text_seq("BUCKET"):
-2368            bucket_numerator = self._parse_number()
-2369            self._match_text_seq("OUT", "OF")
-2370            bucket_denominator = bucket_denominator = self._parse_number()
-2371            self._match(TokenType.ON)
-2372            bucket_field = self._parse_field()
-2373        elif self._match_set((TokenType.PERCENT, TokenType.MOD)):
-2374            percent = num
-2375        elif self._match(TokenType.ROWS):
-2376            rows = num
-2377        else:
-2378            size = num
-2379
-2380        self._match(TokenType.R_PAREN)
-2381
-2382        if self._match(TokenType.L_PAREN):
-2383            method = self._parse_var()
-2384            seed = self._match(TokenType.COMMA) and self._parse_number()
-2385            self._match_r_paren()
-2386        elif self._match_texts(("SEED", "REPEATABLE")):
-2387            seed = self._parse_wrapped(self._parse_number)
-2388
-2389        return self.expression(
-2390            exp.TableSample,
-2391            method=method,
-2392            bucket_numerator=bucket_numerator,
-2393            bucket_denominator=bucket_denominator,
-2394            bucket_field=bucket_field,
-2395            percent=percent,
-2396            rows=rows,
-2397            size=size,
-2398            seed=seed,
-2399            kind=kind,
-2400        )
-2401
-2402    def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]:
-2403        return list(iter(self._parse_pivot, None))
-2404
-2405    def _parse_pivot(self) -> t.Optional[exp.Expression]:
-2406        index = self._index
-2407
-2408        if self._match(TokenType.PIVOT):
-2409            unpivot = False
-2410        elif self._match(TokenType.UNPIVOT):
-2411            unpivot = True
-2412        else:
-2413            return None
-2414
-2415        expressions = []
-2416        field = None
-2417
-2418        if not self._match(TokenType.L_PAREN):
-2419            self._retreat(index)
-2420            return None
-2421
-2422        if unpivot:
-2423            expressions = self._parse_csv(self._parse_column)
-2424        else:
-2425            expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function()))
-2426
-2427        if not expressions:
-2428            self.raise_error("Failed to parse PIVOT's aggregation list")
-2429
-2430        if not self._match(TokenType.FOR):
-2431            self.raise_error("Expecting FOR")
+2350        if is_derived:
+2351            self._match_r_paren()
+2352
+2353        return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias())
+2354
+2355    def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.Expression]:
+2356        if not self._match(TokenType.TABLE_SAMPLE) and not (
+2357            as_modifier and self._match_text_seq("USING", "SAMPLE")
+2358        ):
+2359            return None
+2360
+2361        bucket_numerator = None
+2362        bucket_denominator = None
+2363        bucket_field = None
+2364        percent = None
+2365        rows = None
+2366        size = None
+2367        seed = None
+2368
+2369        kind = (
+2370            self._prev.text if self._prev.token_type == TokenType.TABLE_SAMPLE else "USING SAMPLE"
+2371        )
+2372        method = self._parse_var(tokens=(TokenType.ROW,))
+2373
+2374        self._match(TokenType.L_PAREN)
+2375
+2376        num = self._parse_number()
+2377
+2378        if self._match_text_seq("BUCKET"):
+2379            bucket_numerator = self._parse_number()
+2380            self._match_text_seq("OUT", "OF")
+2381            bucket_denominator = bucket_denominator = self._parse_number()
+2382            self._match(TokenType.ON)
+2383            bucket_field = self._parse_field()
+2384        elif self._match_set((TokenType.PERCENT, TokenType.MOD)):
+2385            percent = num
+2386        elif self._match(TokenType.ROWS):
+2387            rows = num
+2388        else:
+2389            size = num
+2390
+2391        self._match(TokenType.R_PAREN)
+2392
+2393        if self._match(TokenType.L_PAREN):
+2394            method = self._parse_var()
+2395            seed = self._match(TokenType.COMMA) and self._parse_number()
+2396            self._match_r_paren()
+2397        elif self._match_texts(("SEED", "REPEATABLE")):
+2398            seed = self._parse_wrapped(self._parse_number)
+2399
+2400        return self.expression(
+2401            exp.TableSample,
+2402            method=method,
+2403            bucket_numerator=bucket_numerator,
+2404            bucket_denominator=bucket_denominator,
+2405            bucket_field=bucket_field,
+2406            percent=percent,
+2407            rows=rows,
+2408            size=size,
+2409            seed=seed,
+2410            kind=kind,
+2411        )
+2412
+2413    def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]:
+2414        return list(iter(self._parse_pivot, None))
+2415
+2416    def _parse_pivot(self) -> t.Optional[exp.Expression]:
+2417        index = self._index
+2418
+2419        if self._match(TokenType.PIVOT):
+2420            unpivot = False
+2421        elif self._match(TokenType.UNPIVOT):
+2422            unpivot = True
+2423        else:
+2424            return None
+2425
+2426        expressions = []
+2427        field = None
+2428
+2429        if not self._match(TokenType.L_PAREN):
+2430            self._retreat(index)
+2431            return None
 2432
-2433        value = self._parse_column()
-2434
-2435        if not self._match(TokenType.IN):
-2436            self.raise_error("Expecting IN")
+2433        if unpivot:
+2434            expressions = self._parse_csv(self._parse_column)
+2435        else:
+2436            expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function()))
 2437
-2438        field = self._parse_in(value, alias=True)
-2439
-2440        self._match_r_paren()
-2441
-2442        pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot)
+2438        if not expressions:
+2439            self.raise_error("Failed to parse PIVOT's aggregation list")
+2440
+2441        if not self._match(TokenType.FOR):
+2442            self.raise_error("Expecting FOR")
 2443
-2444        if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False):
-2445            pivot.set("alias", self._parse_table_alias())
-2446
-2447        if not unpivot:
-2448            names = self._pivot_column_names(t.cast(t.List[exp.Expression], expressions))
-2449
-2450            columns: t.List[exp.Expression] = []
-2451            for fld in pivot.args["field"].expressions:
-2452                field_name = fld.sql() if self.IDENTIFY_PIVOT_STRINGS else fld.alias_or_name
-2453                for name in names:
-2454                    if self.PREFIXED_PIVOT_COLUMNS:
-2455                        name = f"{name}_{field_name}" if name else field_name
-2456                    else:
-2457                        name = f"{field_name}_{name}" if name else field_name
-2458
-2459                    columns.append(exp.to_identifier(name))
+2444        value = self._parse_column()
+2445
+2446        if not self._match(TokenType.IN):
+2447            self.raise_error("Expecting IN")
+2448
+2449        field = self._parse_in(value, alias=True)
+2450
+2451        self._match_r_paren()
+2452
+2453        pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot)
+2454
+2455        if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False):
+2456            pivot.set("alias", self._parse_table_alias())
+2457
+2458        if not unpivot:
+2459            names = self._pivot_column_names(t.cast(t.List[exp.Expression], expressions))
 2460
-2461            pivot.set("columns", columns)
-2462
-2463        return pivot
-2464
-2465    def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
-2466        return [agg.alias for agg in aggregations]
-2467
-2468    def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]:
-2469        if not skip_where_token and not self._match(TokenType.WHERE):
-2470            return None
+2461            columns: t.List[exp.Expression] = []
+2462            for fld in pivot.args["field"].expressions:
+2463                field_name = fld.sql() if self.IDENTIFY_PIVOT_STRINGS else fld.alias_or_name
+2464                for name in names:
+2465                    if self.PREFIXED_PIVOT_COLUMNS:
+2466                        name = f"{name}_{field_name}" if name else field_name
+2467                    else:
+2468                        name = f"{field_name}_{name}" if name else field_name
+2469
+2470                    columns.append(exp.to_identifier(name))
 2471
-2472        return self.expression(
-2473            exp.Where, comments=self._prev_comments, this=self._parse_conjunction()
-2474        )
+2472            pivot.set("columns", columns)
+2473
+2474        return pivot
 2475
-2476    def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]:
-2477        if not skip_group_by_token and not self._match(TokenType.GROUP_BY):
-2478            return None
-2479
-2480        elements = defaultdict(list)
-2481
-2482        while True:
-2483            expressions = self._parse_csv(self._parse_conjunction)
-2484            if expressions:
-2485                elements["expressions"].extend(expressions)
+2476    def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
+2477        return [agg.alias for agg in aggregations]
+2478
+2479    def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]:
+2480        if not skip_where_token and not self._match(TokenType.WHERE):
+2481            return None
+2482
+2483        return self.expression(
+2484            exp.Where, comments=self._prev_comments, this=self._parse_conjunction()
+2485        )
 2486
-2487            grouping_sets = self._parse_grouping_sets()
-2488            if grouping_sets:
-2489                elements["grouping_sets"].extend(grouping_sets)
+2487    def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]:
+2488        if not skip_group_by_token and not self._match(TokenType.GROUP_BY):
+2489            return None
 2490
-2491            rollup = None
-2492            cube = None
-2493            totals = None
-2494
-2495            with_ = self._match(TokenType.WITH)
-2496            if self._match(TokenType.ROLLUP):
-2497                rollup = with_ or self._parse_wrapped_csv(self._parse_column)
-2498                elements["rollup"].extend(ensure_list(rollup))
-2499
-2500            if self._match(TokenType.CUBE):
-2501                cube = with_ or self._parse_wrapped_csv(self._parse_column)
-2502                elements["cube"].extend(ensure_list(cube))
-2503
-2504            if self._match_text_seq("TOTALS"):
-2505                totals = True
-2506                elements["totals"] = True  # type: ignore
-2507
-2508            if not (grouping_sets or rollup or cube or totals):
-2509                break
+2491        elements = defaultdict(list)
+2492
+2493        while True:
+2494            expressions = self._parse_csv(self._parse_conjunction)
+2495            if expressions:
+2496                elements["expressions"].extend(expressions)
+2497
+2498            grouping_sets = self._parse_grouping_sets()
+2499            if grouping_sets:
+2500                elements["grouping_sets"].extend(grouping_sets)
+2501
+2502            rollup = None
+2503            cube = None
+2504            totals = None
+2505
+2506            with_ = self._match(TokenType.WITH)
+2507            if self._match(TokenType.ROLLUP):
+2508                rollup = with_ or self._parse_wrapped_csv(self._parse_column)
+2509                elements["rollup"].extend(ensure_list(rollup))
 2510
-2511        return self.expression(exp.Group, **elements)  # type: ignore
-2512
-2513    def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-2514        if not self._match(TokenType.GROUPING_SETS):
-2515            return None
-2516
-2517        return self._parse_wrapped_csv(self._parse_grouping_set)
+2511            if self._match(TokenType.CUBE):
+2512                cube = with_ or self._parse_wrapped_csv(self._parse_column)
+2513                elements["cube"].extend(ensure_list(cube))
+2514
+2515            if self._match_text_seq("TOTALS"):
+2516                totals = True
+2517                elements["totals"] = True  # type: ignore
 2518
-2519    def _parse_grouping_set(self) -> t.Optional[exp.Expression]:
-2520        if self._match(TokenType.L_PAREN):
-2521            grouping_set = self._parse_csv(self._parse_column)
-2522            self._match_r_paren()
-2523            return self.expression(exp.Tuple, expressions=grouping_set)
-2524
-2525        return self._parse_column()
-2526
-2527    def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]:
-2528        if not skip_having_token and not self._match(TokenType.HAVING):
-2529            return None
-2530        return self.expression(exp.Having, this=self._parse_conjunction())
-2531
-2532    def _parse_qualify(self) -> t.Optional[exp.Expression]:
-2533        if not self._match(TokenType.QUALIFY):
-2534            return None
-2535        return self.expression(exp.Qualify, this=self._parse_conjunction())
-2536
-2537    def _parse_order(
-2538        self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False
-2539    ) -> t.Optional[exp.Expression]:
-2540        if not skip_order_token and not self._match(TokenType.ORDER_BY):
-2541            return this
+2519            if not (grouping_sets or rollup or cube or totals):
+2520                break
+2521
+2522        return self.expression(exp.Group, **elements)  # type: ignore
+2523
+2524    def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+2525        if not self._match(TokenType.GROUPING_SETS):
+2526            return None
+2527
+2528        return self._parse_wrapped_csv(self._parse_grouping_set)
+2529
+2530    def _parse_grouping_set(self) -> t.Optional[exp.Expression]:
+2531        if self._match(TokenType.L_PAREN):
+2532            grouping_set = self._parse_csv(self._parse_column)
+2533            self._match_r_paren()
+2534            return self.expression(exp.Tuple, expressions=grouping_set)
+2535
+2536        return self._parse_column()
+2537
+2538    def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]:
+2539        if not skip_having_token and not self._match(TokenType.HAVING):
+2540            return None
+2541        return self.expression(exp.Having, this=self._parse_conjunction())
 2542
-2543        return self.expression(
-2544            exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered)
-2545        )
-2546
-2547    def _parse_sort(
-2548        self, exp_class: t.Type[exp.Expression], *texts: str
-2549    ) -> t.Optional[exp.Expression]:
-2550        if not self._match_text_seq(*texts):
-2551            return None
-2552        return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered))
+2543    def _parse_qualify(self) -> t.Optional[exp.Expression]:
+2544        if not self._match(TokenType.QUALIFY):
+2545            return None
+2546        return self.expression(exp.Qualify, this=self._parse_conjunction())
+2547
+2548    def _parse_order(
+2549        self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False
+2550    ) -> t.Optional[exp.Expression]:
+2551        if not skip_order_token and not self._match(TokenType.ORDER_BY):
+2552            return this
 2553
-2554    def _parse_ordered(self) -> exp.Expression:
-2555        this = self._parse_conjunction()
-2556        self._match(TokenType.ASC)
-2557        is_desc = self._match(TokenType.DESC)
-2558        is_nulls_first = self._match_text_seq("NULLS", "FIRST")
-2559        is_nulls_last = self._match_text_seq("NULLS", "LAST")
-2560        desc = is_desc or False
-2561        asc = not desc
-2562        nulls_first = is_nulls_first or False
-2563        explicitly_null_ordered = is_nulls_first or is_nulls_last
-2564        if (
-2565            not explicitly_null_ordered
-2566            and (
-2567                (asc and self.null_ordering == "nulls_are_small")
-2568                or (desc and self.null_ordering != "nulls_are_small")
-2569            )
-2570            and self.null_ordering != "nulls_are_last"
-2571        ):
-2572            nulls_first = True
-2573
-2574        return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first)
-2575
-2576    def _parse_limit(
-2577        self, this: t.Optional[exp.Expression] = None, top: bool = False
-2578    ) -> t.Optional[exp.Expression]:
-2579        if self._match(TokenType.TOP if top else TokenType.LIMIT):
-2580            limit_paren = self._match(TokenType.L_PAREN)
-2581            limit_exp = self.expression(
-2582                exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term()
-2583            )
+2554        return self.expression(
+2555            exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered)
+2556        )
+2557
+2558    def _parse_sort(
+2559        self, exp_class: t.Type[exp.Expression], *texts: str
+2560    ) -> t.Optional[exp.Expression]:
+2561        if not self._match_text_seq(*texts):
+2562            return None
+2563        return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered))
+2564
+2565    def _parse_ordered(self) -> exp.Expression:
+2566        this = self._parse_conjunction()
+2567        self._match(TokenType.ASC)
+2568        is_desc = self._match(TokenType.DESC)
+2569        is_nulls_first = self._match_text_seq("NULLS", "FIRST")
+2570        is_nulls_last = self._match_text_seq("NULLS", "LAST")
+2571        desc = is_desc or False
+2572        asc = not desc
+2573        nulls_first = is_nulls_first or False
+2574        explicitly_null_ordered = is_nulls_first or is_nulls_last
+2575        if (
+2576            not explicitly_null_ordered
+2577            and (
+2578                (asc and self.null_ordering == "nulls_are_small")
+2579                or (desc and self.null_ordering != "nulls_are_small")
+2580            )
+2581            and self.null_ordering != "nulls_are_last"
+2582        ):
+2583            nulls_first = True
 2584
-2585            if limit_paren:
-2586                self._match_r_paren()
-2587
-2588            return limit_exp
-2589
-2590        if self._match(TokenType.FETCH):
-2591            direction = self._match_set((TokenType.FIRST, TokenType.NEXT))
-2592            direction = self._prev.text if direction else "FIRST"
-2593
-2594            count = self._parse_number()
-2595            percent = self._match(TokenType.PERCENT)
-2596
-2597            self._match_set((TokenType.ROW, TokenType.ROWS))
+2585        return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first)
+2586
+2587    def _parse_limit(
+2588        self, this: t.Optional[exp.Expression] = None, top: bool = False
+2589    ) -> t.Optional[exp.Expression]:
+2590        if self._match(TokenType.TOP if top else TokenType.LIMIT):
+2591            limit_paren = self._match(TokenType.L_PAREN)
+2592            limit_exp = self.expression(
+2593                exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term()
+2594            )
+2595
+2596            if limit_paren:
+2597                self._match_r_paren()
 2598
-2599            only = self._match_text_seq("ONLY")
-2600            with_ties = self._match_text_seq("WITH", "TIES")
-2601
-2602            if only and with_ties:
-2603                self.raise_error("Cannot specify both ONLY and WITH TIES in FETCH clause")
+2599            return limit_exp
+2600
+2601        if self._match(TokenType.FETCH):
+2602            direction = self._match_set((TokenType.FIRST, TokenType.NEXT))
+2603            direction = self._prev.text if direction else "FIRST"
 2604
-2605            return self.expression(
-2606                exp.Fetch,
-2607                direction=direction,
-2608                count=count,
-2609                percent=percent,
-2610                with_ties=with_ties,
-2611            )
+2605            count = self._parse_number()
+2606            percent = self._match(TokenType.PERCENT)
+2607
+2608            self._match_set((TokenType.ROW, TokenType.ROWS))
+2609
+2610            only = self._match_text_seq("ONLY")
+2611            with_ties = self._match_text_seq("WITH", "TIES")
 2612
-2613        return this
-2614
-2615    def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
-2616        if not self._match_set((TokenType.OFFSET, TokenType.COMMA)):
-2617            return this
-2618
-2619        count = self._parse_number()
-2620        self._match_set((TokenType.ROW, TokenType.ROWS))
-2621        return self.expression(exp.Offset, this=this, expression=count)
-2622
-2623    def _parse_locks(self) -> t.List[exp.Expression]:
-2624        # Lists are invariant, so we need to use a type hint here
-2625        locks: t.List[exp.Expression] = []
-2626
-2627        while True:
-2628            if self._match_text_seq("FOR", "UPDATE"):
-2629                update = True
-2630            elif self._match_text_seq("FOR", "SHARE") or self._match_text_seq(
-2631                "LOCK", "IN", "SHARE", "MODE"
-2632            ):
-2633                update = False
-2634            else:
-2635                break
-2636
-2637            expressions = None
-2638            if self._match_text_seq("OF"):
-2639                expressions = self._parse_csv(lambda: self._parse_table(schema=True))
-2640
-2641            wait: t.Optional[bool | exp.Expression] = None
-2642            if self._match_text_seq("NOWAIT"):
-2643                wait = True
-2644            elif self._match_text_seq("WAIT"):
-2645                wait = self._parse_primary()
-2646            elif self._match_text_seq("SKIP", "LOCKED"):
-2647                wait = False
-2648
-2649            locks.append(
-2650                self.expression(exp.Lock, update=update, expressions=expressions, wait=wait)
-2651            )
-2652
-2653        return locks
-2654
-2655    def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2656        if not self._match_set(self.SET_OPERATIONS):
-2657            return this
-2658
-2659        token_type = self._prev.token_type
-2660
-2661        if token_type == TokenType.UNION:
-2662            expression = exp.Union
-2663        elif token_type == TokenType.EXCEPT:
-2664            expression = exp.Except
-2665        else:
-2666            expression = exp.Intersect
-2667
-2668        return self.expression(
-2669            expression,
-2670            this=this,
-2671            distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL),
-2672            expression=self._parse_set_operations(self._parse_select(nested=True)),
-2673        )
-2674
-2675    def _parse_expression(self) -> t.Optional[exp.Expression]:
-2676        return self._parse_alias(self._parse_conjunction())
-2677
-2678    def _parse_conjunction(self) -> t.Optional[exp.Expression]:
-2679        return self._parse_tokens(self._parse_equality, self.CONJUNCTION)
-2680
-2681    def _parse_equality(self) -> t.Optional[exp.Expression]:
-2682        return self._parse_tokens(self._parse_comparison, self.EQUALITY)
-2683
-2684    def _parse_comparison(self) -> t.Optional[exp.Expression]:
-2685        return self._parse_tokens(self._parse_range, self.COMPARISON)
-2686
-2687    def _parse_range(self) -> t.Optional[exp.Expression]:
-2688        this = self._parse_bitwise()
-2689        negate = self._match(TokenType.NOT)
-2690
-2691        if self._match_set(self.RANGE_PARSERS):
-2692            expression = self.RANGE_PARSERS[self._prev.token_type](self, this)
-2693            if not expression:
-2694                return this
-2695
-2696            this = expression
-2697        elif self._match(TokenType.ISNULL):
-2698            this = self.expression(exp.Is, this=this, expression=exp.Null())
-2699
-2700        # Postgres supports ISNULL and NOTNULL for conditions.
-2701        # https://blog.andreiavram.ro/postgresql-null-composite-type/
-2702        if self._match(TokenType.NOTNULL):
-2703            this = self.expression(exp.Is, this=this, expression=exp.Null())
-2704            this = self.expression(exp.Not, this=this)
-2705
-2706        if negate:
-2707            this = self.expression(exp.Not, this=this)
-2708
-2709        if self._match(TokenType.IS):
-2710            this = self._parse_is(this)
-2711
-2712        return this
-2713
-2714    def _parse_is(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2715        index = self._index - 1
-2716        negate = self._match(TokenType.NOT)
-2717        if self._match_text_seq("DISTINCT", "FROM"):
-2718            klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ
-2719            return self.expression(klass, this=this, expression=self._parse_expression())
-2720
-2721        expression = self._parse_null() or self._parse_boolean()
-2722        if not expression:
-2723            self._retreat(index)
-2724            return None
-2725
-2726        this = self.expression(exp.Is, this=this, expression=expression)
-2727        return self.expression(exp.Not, this=this) if negate else this
-2728
-2729    def _parse_in(self, this: t.Optional[exp.Expression], alias: bool = False) -> exp.Expression:
-2730        unnest = self._parse_unnest()
-2731        if unnest:
-2732            this = self.expression(exp.In, this=this, unnest=unnest)
-2733        elif self._match(TokenType.L_PAREN):
-2734            expressions = self._parse_csv(lambda: self._parse_select_or_expression(alias=alias))
-2735
-2736            if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable):
-2737                this = self.expression(exp.In, this=this, query=expressions[0])
-2738            else:
-2739                this = self.expression(exp.In, this=this, expressions=expressions)
-2740
-2741            self._match_r_paren(this)
-2742        else:
-2743            this = self.expression(exp.In, this=this, field=self._parse_field())
-2744
-2745        return this
+2613            if only and with_ties:
+2614                self.raise_error("Cannot specify both ONLY and WITH TIES in FETCH clause")
+2615
+2616            return self.expression(
+2617                exp.Fetch,
+2618                direction=direction,
+2619                count=count,
+2620                percent=percent,
+2621                with_ties=with_ties,
+2622            )
+2623
+2624        return this
+2625
+2626    def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
+2627        if not self._match_set((TokenType.OFFSET, TokenType.COMMA)):
+2628            return this
+2629
+2630        count = self._parse_number()
+2631        self._match_set((TokenType.ROW, TokenType.ROWS))
+2632        return self.expression(exp.Offset, this=this, expression=count)
+2633
+2634    def _parse_locks(self) -> t.List[exp.Expression]:
+2635        # Lists are invariant, so we need to use a type hint here
+2636        locks: t.List[exp.Expression] = []
+2637
+2638        while True:
+2639            if self._match_text_seq("FOR", "UPDATE"):
+2640                update = True
+2641            elif self._match_text_seq("FOR", "SHARE") or self._match_text_seq(
+2642                "LOCK", "IN", "SHARE", "MODE"
+2643            ):
+2644                update = False
+2645            else:
+2646                break
+2647
+2648            expressions = None
+2649            if self._match_text_seq("OF"):
+2650                expressions = self._parse_csv(lambda: self._parse_table(schema=True))
+2651
+2652            wait: t.Optional[bool | exp.Expression] = None
+2653            if self._match_text_seq("NOWAIT"):
+2654                wait = True
+2655            elif self._match_text_seq("WAIT"):
+2656                wait = self._parse_primary()
+2657            elif self._match_text_seq("SKIP", "LOCKED"):
+2658                wait = False
+2659
+2660            locks.append(
+2661                self.expression(exp.Lock, update=update, expressions=expressions, wait=wait)
+2662            )
+2663
+2664        return locks
+2665
+2666    def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2667        if not self._match_set(self.SET_OPERATIONS):
+2668            return this
+2669
+2670        token_type = self._prev.token_type
+2671
+2672        if token_type == TokenType.UNION:
+2673            expression = exp.Union
+2674        elif token_type == TokenType.EXCEPT:
+2675            expression = exp.Except
+2676        else:
+2677            expression = exp.Intersect
+2678
+2679        return self.expression(
+2680            expression,
+2681            this=this,
+2682            distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL),
+2683            expression=self._parse_set_operations(self._parse_select(nested=True)),
+2684        )
+2685
+2686    def _parse_expression(self) -> t.Optional[exp.Expression]:
+2687        return self._parse_alias(self._parse_conjunction())
+2688
+2689    def _parse_conjunction(self) -> t.Optional[exp.Expression]:
+2690        return self._parse_tokens(self._parse_equality, self.CONJUNCTION)
+2691
+2692    def _parse_equality(self) -> t.Optional[exp.Expression]:
+2693        return self._parse_tokens(self._parse_comparison, self.EQUALITY)
+2694
+2695    def _parse_comparison(self) -> t.Optional[exp.Expression]:
+2696        return self._parse_tokens(self._parse_range, self.COMPARISON)
+2697
+2698    def _parse_range(self) -> t.Optional[exp.Expression]:
+2699        this = self._parse_bitwise()
+2700        negate = self._match(TokenType.NOT)
+2701
+2702        if self._match_set(self.RANGE_PARSERS):
+2703            expression = self.RANGE_PARSERS[self._prev.token_type](self, this)
+2704            if not expression:
+2705                return this
+2706
+2707            this = expression
+2708        elif self._match(TokenType.ISNULL):
+2709            this = self.expression(exp.Is, this=this, expression=exp.Null())
+2710
+2711        # Postgres supports ISNULL and NOTNULL for conditions.
+2712        # https://blog.andreiavram.ro/postgresql-null-composite-type/
+2713        if self._match(TokenType.NOTNULL):
+2714            this = self.expression(exp.Is, this=this, expression=exp.Null())
+2715            this = self.expression(exp.Not, this=this)
+2716
+2717        if negate:
+2718            this = self.expression(exp.Not, this=this)
+2719
+2720        if self._match(TokenType.IS):
+2721            this = self._parse_is(this)
+2722
+2723        return this
+2724
+2725    def _parse_is(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2726        index = self._index - 1
+2727        negate = self._match(TokenType.NOT)
+2728        if self._match_text_seq("DISTINCT", "FROM"):
+2729            klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ
+2730            return self.expression(klass, this=this, expression=self._parse_expression())
+2731
+2732        expression = self._parse_null() or self._parse_boolean()
+2733        if not expression:
+2734            self._retreat(index)
+2735            return None
+2736
+2737        this = self.expression(exp.Is, this=this, expression=expression)
+2738        return self.expression(exp.Not, this=this) if negate else this
+2739
+2740    def _parse_in(self, this: t.Optional[exp.Expression], alias: bool = False) -> exp.Expression:
+2741        unnest = self._parse_unnest()
+2742        if unnest:
+2743            this = self.expression(exp.In, this=this, unnest=unnest)
+2744        elif self._match(TokenType.L_PAREN):
+2745            expressions = self._parse_csv(lambda: self._parse_select_or_expression(alias=alias))
 2746
-2747    def _parse_between(self, this: exp.Expression) -> exp.Expression:
-2748        low = self._parse_bitwise()
-2749        self._match(TokenType.AND)
-2750        high = self._parse_bitwise()
-2751        return self.expression(exp.Between, this=this, low=low, high=high)
-2752
-2753    def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2754        if not self._match(TokenType.ESCAPE):
-2755            return this
-2756        return self.expression(exp.Escape, this=this, expression=self._parse_string())
+2747            if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable):
+2748                this = self.expression(exp.In, this=this, query=expressions[0])
+2749            else:
+2750                this = self.expression(exp.In, this=this, expressions=expressions)
+2751
+2752            self._match_r_paren(this)
+2753        else:
+2754            this = self.expression(exp.In, this=this, field=self._parse_field())
+2755
+2756        return this
 2757
-2758    def _parse_interval(self) -> t.Optional[exp.Expression]:
-2759        if not self._match(TokenType.INTERVAL):
-2760            return None
-2761
-2762        this = self._parse_primary() or self._parse_term()
-2763        unit = self._parse_function() or self._parse_var()
-2764
-2765        # Most dialects support, e.g., the form INTERVAL '5' day, thus we try to parse
-2766        # each INTERVAL expression into this canonical form so it's easy to transpile
-2767        if this and isinstance(this, exp.Literal):
-2768            if this.is_number:
-2769                this = exp.Literal.string(this.name)
-2770
-2771            # Try to not clutter Snowflake's multi-part intervals like INTERVAL '1 day, 1 year'
-2772            parts = this.name.split()
-2773            if not unit and len(parts) <= 2:
-2774                this = exp.Literal.string(seq_get(parts, 0))
-2775                unit = self.expression(exp.Var, this=seq_get(parts, 1))
-2776
-2777        return self.expression(exp.Interval, this=this, unit=unit)
-2778
-2779    def _parse_bitwise(self) -> t.Optional[exp.Expression]:
-2780        this = self._parse_term()
+2758    def _parse_between(self, this: exp.Expression) -> exp.Expression:
+2759        low = self._parse_bitwise()
+2760        self._match(TokenType.AND)
+2761        high = self._parse_bitwise()
+2762        return self.expression(exp.Between, this=this, low=low, high=high)
+2763
+2764    def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2765        if not self._match(TokenType.ESCAPE):
+2766            return this
+2767        return self.expression(exp.Escape, this=this, expression=self._parse_string())
+2768
+2769    def _parse_interval(self) -> t.Optional[exp.Expression]:
+2770        if not self._match(TokenType.INTERVAL):
+2771            return None
+2772
+2773        this = self._parse_primary() or self._parse_term()
+2774        unit = self._parse_function() or self._parse_var()
+2775
+2776        # Most dialects support, e.g., the form INTERVAL '5' day, thus we try to parse
+2777        # each INTERVAL expression into this canonical form so it's easy to transpile
+2778        if this and isinstance(this, exp.Literal):
+2779            if this.is_number:
+2780                this = exp.Literal.string(this.name)
 2781
-2782        while True:
-2783            if self._match_set(self.BITWISE):
-2784                this = self.expression(
-2785                    self.BITWISE[self._prev.token_type],
-2786                    this=this,
-2787                    expression=self._parse_term(),
-2788                )
-2789            elif self._match_pair(TokenType.LT, TokenType.LT):
-2790                this = self.expression(
-2791                    exp.BitwiseLeftShift, this=this, expression=self._parse_term()
-2792                )
-2793            elif self._match_pair(TokenType.GT, TokenType.GT):
-2794                this = self.expression(
-2795                    exp.BitwiseRightShift, this=this, expression=self._parse_term()
-2796                )
-2797            else:
-2798                break
-2799
-2800        return this
-2801
-2802    def _parse_term(self) -> t.Optional[exp.Expression]:
-2803        return self._parse_tokens(self._parse_factor, self.TERM)
-2804
-2805    def _parse_factor(self) -> t.Optional[exp.Expression]:
-2806        return self._parse_tokens(self._parse_unary, self.FACTOR)
-2807
-2808    def _parse_unary(self) -> t.Optional[exp.Expression]:
-2809        if self._match_set(self.UNARY_PARSERS):
-2810            return self.UNARY_PARSERS[self._prev.token_type](self)
-2811        return self._parse_at_time_zone(self._parse_type())
+2782            # Try to not clutter Snowflake's multi-part intervals like INTERVAL '1 day, 1 year'
+2783            parts = this.name.split()
+2784            if not unit and len(parts) <= 2:
+2785                this = exp.Literal.string(seq_get(parts, 0))
+2786                unit = self.expression(exp.Var, this=seq_get(parts, 1))
+2787
+2788        return self.expression(exp.Interval, this=this, unit=unit)
+2789
+2790    def _parse_bitwise(self) -> t.Optional[exp.Expression]:
+2791        this = self._parse_term()
+2792
+2793        while True:
+2794            if self._match_set(self.BITWISE):
+2795                this = self.expression(
+2796                    self.BITWISE[self._prev.token_type],
+2797                    this=this,
+2798                    expression=self._parse_term(),
+2799                )
+2800            elif self._match_pair(TokenType.LT, TokenType.LT):
+2801                this = self.expression(
+2802                    exp.BitwiseLeftShift, this=this, expression=self._parse_term()
+2803                )
+2804            elif self._match_pair(TokenType.GT, TokenType.GT):
+2805                this = self.expression(
+2806                    exp.BitwiseRightShift, this=this, expression=self._parse_term()
+2807                )
+2808            else:
+2809                break
+2810
+2811        return this
 2812
-2813    def _parse_type(self) -> t.Optional[exp.Expression]:
-2814        interval = self._parse_interval()
-2815        if interval:
-2816            return interval
-2817
-2818        index = self._index
-2819        data_type = self._parse_types(check_func=True)
-2820        this = self._parse_column()
-2821
-2822        if data_type:
-2823            if isinstance(this, exp.Literal):
-2824                parser = self.TYPE_LITERAL_PARSERS.get(data_type.this)
-2825                if parser:
-2826                    return parser(self, this, data_type)
-2827                return self.expression(exp.Cast, this=this, to=data_type)
-2828            if not data_type.expressions:
-2829                self._retreat(index)
-2830                return self._parse_column()
-2831            return data_type
+2813    def _parse_term(self) -> t.Optional[exp.Expression]:
+2814        return self._parse_tokens(self._parse_factor, self.TERM)
+2815
+2816    def _parse_factor(self) -> t.Optional[exp.Expression]:
+2817        return self._parse_tokens(self._parse_unary, self.FACTOR)
+2818
+2819    def _parse_unary(self) -> t.Optional[exp.Expression]:
+2820        if self._match_set(self.UNARY_PARSERS):
+2821            return self.UNARY_PARSERS[self._prev.token_type](self)
+2822        return self._parse_at_time_zone(self._parse_type())
+2823
+2824    def _parse_type(self) -> t.Optional[exp.Expression]:
+2825        interval = self._parse_interval()
+2826        if interval:
+2827            return interval
+2828
+2829        index = self._index
+2830        data_type = self._parse_types(check_func=True)
+2831        this = self._parse_column()
 2832
-2833        return this
-2834
-2835    def _parse_type_size(self) -> t.Optional[exp.Expression]:
-2836        this = self._parse_type()
-2837        if not this:
-2838            return None
-2839
-2840        return self.expression(
-2841            exp.DataTypeSize, this=this, expression=self._parse_var(any_token=True)
-2842        )
+2833        if data_type:
+2834            if isinstance(this, exp.Literal):
+2835                parser = self.TYPE_LITERAL_PARSERS.get(data_type.this)
+2836                if parser:
+2837                    return parser(self, this, data_type)
+2838                return self.expression(exp.Cast, this=this, to=data_type)
+2839            if not data_type.expressions:
+2840                self._retreat(index)
+2841                return self._parse_column()
+2842            return data_type
 2843
-2844    def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
-2845        index = self._index
-2846
-2847        prefix = self._match_text_seq("SYSUDTLIB", ".")
-2848
-2849        if not self._match_set(self.TYPE_TOKENS):
-2850            return None
-2851
-2852        type_token = self._prev.token_type
-2853
-2854        if type_token == TokenType.PSEUDO_TYPE:
-2855            return self.expression(exp.PseudoType, this=self._prev.text)
-2856
-2857        nested = type_token in self.NESTED_TYPE_TOKENS
-2858        is_struct = type_token == TokenType.STRUCT
-2859        expressions = None
-2860        maybe_func = False
-2861
-2862        if self._match(TokenType.L_PAREN):
-2863            if is_struct:
-2864                expressions = self._parse_csv(self._parse_struct_types)
-2865            elif nested:
-2866                expressions = self._parse_csv(self._parse_types)
-2867            else:
-2868                expressions = self._parse_csv(self._parse_type_size)
-2869
-2870            if not expressions or not self._match(TokenType.R_PAREN):
-2871                self._retreat(index)
-2872                return None
-2873
-2874            maybe_func = True
-2875
-2876        if self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
-2877            this = exp.DataType(
-2878                this=exp.DataType.Type.ARRAY,
-2879                expressions=[exp.DataType.build(type_token.value, expressions=expressions)],
-2880                nested=True,
-2881            )
-2882
-2883            while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
-2884                this = exp.DataType(
-2885                    this=exp.DataType.Type.ARRAY,
-2886                    expressions=[this],
-2887                    nested=True,
-2888                )
-2889
-2890            return this
-2891
-2892        if self._match(TokenType.L_BRACKET):
-2893            self._retreat(index)
-2894            return None
-2895
-2896        values: t.Optional[t.List[t.Optional[exp.Expression]]] = None
-2897        if nested and self._match(TokenType.LT):
-2898            if is_struct:
-2899                expressions = self._parse_csv(self._parse_struct_types)
-2900            else:
-2901                expressions = self._parse_csv(self._parse_types)
+2844        return this
+2845
+2846    def _parse_type_size(self) -> t.Optional[exp.Expression]:
+2847        this = self._parse_type()
+2848        if not this:
+2849            return None
+2850
+2851        return self.expression(
+2852            exp.DataTypeSize, this=this, expression=self._parse_var(any_token=True)
+2853        )
+2854
+2855    def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
+2856        index = self._index
+2857
+2858        prefix = self._match_text_seq("SYSUDTLIB", ".")
+2859
+2860        if not self._match_set(self.TYPE_TOKENS):
+2861            return None
+2862
+2863        type_token = self._prev.token_type
+2864
+2865        if type_token == TokenType.PSEUDO_TYPE:
+2866            return self.expression(exp.PseudoType, this=self._prev.text)
+2867
+2868        nested = type_token in self.NESTED_TYPE_TOKENS
+2869        is_struct = type_token == TokenType.STRUCT
+2870        expressions = None
+2871        maybe_func = False
+2872
+2873        if self._match(TokenType.L_PAREN):
+2874            if is_struct:
+2875                expressions = self._parse_csv(self._parse_struct_types)
+2876            elif nested:
+2877                expressions = self._parse_csv(self._parse_types)
+2878            else:
+2879                expressions = self._parse_csv(self._parse_type_size)
+2880
+2881            if not expressions or not self._match(TokenType.R_PAREN):
+2882                self._retreat(index)
+2883                return None
+2884
+2885            maybe_func = True
+2886
+2887        if self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
+2888            this = exp.DataType(
+2889                this=exp.DataType.Type.ARRAY,
+2890                expressions=[exp.DataType.build(type_token.value, expressions=expressions)],
+2891                nested=True,
+2892            )
+2893
+2894            while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
+2895                this = exp.DataType(
+2896                    this=exp.DataType.Type.ARRAY,
+2897                    expressions=[this],
+2898                    nested=True,
+2899                )
+2900
+2901            return this
 2902
-2903            if not self._match(TokenType.GT):
-2904                self.raise_error("Expecting >")
-2905
-2906            if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)):
-2907                values = self._parse_csv(self._parse_conjunction)
-2908                self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN))
-2909
-2910        value: t.Optional[exp.Expression] = None
-2911        if type_token in self.TIMESTAMPS:
-2912            if self._match_text_seq("WITH", "TIME", "ZONE") or type_token == TokenType.TIMESTAMPTZ:
-2913                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions)
-2914            elif (
-2915                self._match_text_seq("WITH", "LOCAL", "TIME", "ZONE")
-2916                or type_token == TokenType.TIMESTAMPLTZ
-2917            ):
-2918                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions)
-2919            elif self._match_text_seq("WITHOUT", "TIME", "ZONE"):
-2920                if type_token == TokenType.TIME:
-2921                    value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions)
-2922                else:
-2923                    value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
-2924
-2925            maybe_func = maybe_func and value is None
-2926
-2927            if value is None:
-2928                value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
-2929        elif type_token == TokenType.INTERVAL:
-2930            unit = self._parse_var()
-2931
-2932            if not unit:
-2933                value = self.expression(exp.DataType, this=exp.DataType.Type.INTERVAL)
-2934            else:
-2935                value = self.expression(exp.Interval, unit=unit)
-2936
-2937        if maybe_func and check_func:
-2938            index2 = self._index
-2939            peek = self._parse_string()
-2940
-2941            if not peek:
-2942                self._retreat(index)
-2943                return None
-2944
-2945            self._retreat(index2)
-2946
-2947        if value:
-2948            return value
-2949
-2950        return exp.DataType(
-2951            this=exp.DataType.Type[type_token.value.upper()],
-2952            expressions=expressions,
-2953            nested=nested,
-2954            values=values,
-2955            prefix=prefix,
-2956        )
+2903        if self._match(TokenType.L_BRACKET):
+2904            self._retreat(index)
+2905            return None
+2906
+2907        values: t.Optional[t.List[t.Optional[exp.Expression]]] = None
+2908        if nested and self._match(TokenType.LT):
+2909            if is_struct:
+2910                expressions = self._parse_csv(self._parse_struct_types)
+2911            else:
+2912                expressions = self._parse_csv(self._parse_types)
+2913
+2914            if not self._match(TokenType.GT):
+2915                self.raise_error("Expecting >")
+2916
+2917            if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)):
+2918                values = self._parse_csv(self._parse_conjunction)
+2919                self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN))
+2920
+2921        value: t.Optional[exp.Expression] = None
+2922        if type_token in self.TIMESTAMPS:
+2923            if self._match_text_seq("WITH", "TIME", "ZONE") or type_token == TokenType.TIMESTAMPTZ:
+2924                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions)
+2925            elif (
+2926                self._match_text_seq("WITH", "LOCAL", "TIME", "ZONE")
+2927                or type_token == TokenType.TIMESTAMPLTZ
+2928            ):
+2929                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions)
+2930            elif self._match_text_seq("WITHOUT", "TIME", "ZONE"):
+2931                if type_token == TokenType.TIME:
+2932                    value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions)
+2933                else:
+2934                    value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
+2935
+2936            maybe_func = maybe_func and value is None
+2937
+2938            if value is None:
+2939                value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
+2940        elif type_token == TokenType.INTERVAL:
+2941            unit = self._parse_var()
+2942
+2943            if not unit:
+2944                value = self.expression(exp.DataType, this=exp.DataType.Type.INTERVAL)
+2945            else:
+2946                value = self.expression(exp.Interval, unit=unit)
+2947
+2948        if maybe_func and check_func:
+2949            index2 = self._index
+2950            peek = self._parse_string()
+2951
+2952            if not peek:
+2953                self._retreat(index)
+2954                return None
+2955
+2956            self._retreat(index2)
 2957
-2958    def _parse_struct_types(self) -> t.Optional[exp.Expression]:
-2959        this = self._parse_type() or self._parse_id_var()
-2960        self._match(TokenType.COLON)
-2961        return self._parse_column_def(this)
-2962
-2963    def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2964        if not self._match_text_seq("AT", "TIME", "ZONE"):
-2965            return this
-2966        return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary())
-2967
-2968    def _parse_column(self) -> t.Optional[exp.Expression]:
-2969        this = self._parse_field()
-2970        if isinstance(this, exp.Identifier):
-2971            this = self.expression(exp.Column, this=this)
-2972        elif not this:
-2973            return self._parse_bracket(this)
-2974        this = self._parse_bracket(this)
-2975
-2976        while self._match_set(self.COLUMN_OPERATORS):
-2977            op_token = self._prev.token_type
-2978            op = self.COLUMN_OPERATORS.get(op_token)
-2979
-2980            if op_token == TokenType.DCOLON:
-2981                field = self._parse_types()
-2982                if not field:
-2983                    self.raise_error("Expected type")
-2984            elif op and self._curr:
-2985                self._advance()
-2986                value = self._prev.text
-2987                field = (
-2988                    exp.Literal.number(value)
-2989                    if self._prev.token_type == TokenType.NUMBER
-2990                    else exp.Literal.string(value)
-2991                )
-2992            else:
-2993                field = (
-2994                    self._parse_star()
-2995                    or self._parse_function(anonymous=True)
-2996                    or self._parse_id_var()
-2997                )
-2998
-2999            if isinstance(field, exp.Func):
-3000                # bigquery allows function calls like x.y.count(...)
-3001                # SAFE.SUBSTR(...)
-3002                # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules
-3003                this = self._replace_columns_with_dots(this)
-3004
-3005            if op:
-3006                this = op(self, this, field)
-3007            elif isinstance(this, exp.Column) and not this.args.get("catalog"):
-3008                this = self.expression(
-3009                    exp.Column,
-3010                    this=field,
-3011                    table=this.this,
-3012                    db=this.args.get("table"),
-3013                    catalog=this.args.get("db"),
-3014                )
-3015            else:
-3016                this = self.expression(exp.Dot, this=this, expression=field)
-3017            this = self._parse_bracket(this)
-3018
-3019        return this
-3020
-3021    def _parse_primary(self) -> t.Optional[exp.Expression]:
-3022        if self._match_set(self.PRIMARY_PARSERS):
-3023            token_type = self._prev.token_type
-3024            primary = self.PRIMARY_PARSERS[token_type](self, self._prev)
-3025
-3026            if token_type == TokenType.STRING:
-3027                expressions = [primary]
-3028                while self._match(TokenType.STRING):
-3029                    expressions.append(exp.Literal.string(self._prev.text))
-3030                if len(expressions) > 1:
-3031                    return self.expression(exp.Concat, expressions=expressions)
-3032            return primary
-3033
-3034        if self._match_pair(TokenType.DOT, TokenType.NUMBER):
-3035            return exp.Literal.number(f"0.{self._prev.text}")
+2958        if value:
+2959            return value
+2960
+2961        return exp.DataType(
+2962            this=exp.DataType.Type[type_token.value.upper()],
+2963            expressions=expressions,
+2964            nested=nested,
+2965            values=values,
+2966            prefix=prefix,
+2967        )
+2968
+2969    def _parse_struct_types(self) -> t.Optional[exp.Expression]:
+2970        this = self._parse_type() or self._parse_id_var()
+2971        self._match(TokenType.COLON)
+2972        return self._parse_column_def(this)
+2973
+2974    def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2975        if not self._match_text_seq("AT", "TIME", "ZONE"):
+2976            return this
+2977        return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary())
+2978
+2979    def _parse_column(self) -> t.Optional[exp.Expression]:
+2980        this = self._parse_field()
+2981        if isinstance(this, exp.Identifier):
+2982            this = self.expression(exp.Column, this=this)
+2983        elif not this:
+2984            return self._parse_bracket(this)
+2985        this = self._parse_bracket(this)
+2986
+2987        while self._match_set(self.COLUMN_OPERATORS):
+2988            op_token = self._prev.token_type
+2989            op = self.COLUMN_OPERATORS.get(op_token)
+2990
+2991            if op_token == TokenType.DCOLON:
+2992                field = self._parse_types()
+2993                if not field:
+2994                    self.raise_error("Expected type")
+2995            elif op and self._curr:
+2996                self._advance()
+2997                value = self._prev.text
+2998                field = (
+2999                    exp.Literal.number(value)
+3000                    if self._prev.token_type == TokenType.NUMBER
+3001                    else exp.Literal.string(value)
+3002                )
+3003            else:
+3004                field = (
+3005                    self._parse_star()
+3006                    or self._parse_function(anonymous=True)
+3007                    or self._parse_id_var()
+3008                )
+3009
+3010            if isinstance(field, exp.Func):
+3011                # bigquery allows function calls like x.y.count(...)
+3012                # SAFE.SUBSTR(...)
+3013                # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules
+3014                this = self._replace_columns_with_dots(this)
+3015
+3016            if op:
+3017                this = op(self, this, field)
+3018            elif isinstance(this, exp.Column) and not this.args.get("catalog"):
+3019                this = self.expression(
+3020                    exp.Column,
+3021                    this=field,
+3022                    table=this.this,
+3023                    db=this.args.get("table"),
+3024                    catalog=this.args.get("db"),
+3025                )
+3026            else:
+3027                this = self.expression(exp.Dot, this=this, expression=field)
+3028            this = self._parse_bracket(this)
+3029
+3030        return this
+3031
+3032    def _parse_primary(self) -> t.Optional[exp.Expression]:
+3033        if self._match_set(self.PRIMARY_PARSERS):
+3034            token_type = self._prev.token_type
+3035            primary = self.PRIMARY_PARSERS[token_type](self, self._prev)
 3036
-3037        if self._match(TokenType.L_PAREN):
-3038            comments = self._prev_comments
-3039            query = self._parse_select()
-3040
-3041            if query:
-3042                expressions = [query]
-3043            else:
-3044                expressions = self._parse_csv(self._parse_expression)
-3045
-3046            this = self._parse_query_modifiers(seq_get(expressions, 0))
+3037            if token_type == TokenType.STRING:
+3038                expressions = [primary]
+3039                while self._match(TokenType.STRING):
+3040                    expressions.append(exp.Literal.string(self._prev.text))
+3041                if len(expressions) > 1:
+3042                    return self.expression(exp.Concat, expressions=expressions)
+3043            return primary
+3044
+3045        if self._match_pair(TokenType.DOT, TokenType.NUMBER):
+3046            return exp.Literal.number(f"0.{self._prev.text}")
 3047
-3048            if isinstance(this, exp.Subqueryable):
-3049                this = self._parse_set_operations(
-3050                    self._parse_subquery(this=this, parse_alias=False)
-3051                )
-3052            elif len(expressions) > 1:
-3053                this = self.expression(exp.Tuple, expressions=expressions)
+3048        if self._match(TokenType.L_PAREN):
+3049            comments = self._prev_comments
+3050            query = self._parse_select()
+3051
+3052            if query:
+3053                expressions = [query]
 3054            else:
-3055                this = self.expression(exp.Paren, this=self._parse_set_operations(this))
+3055                expressions = self._parse_csv(self._parse_expression)
 3056
-3057            if this:
-3058                this.add_comments(comments)
-3059            self._match_r_paren(expression=this)
-3060
-3061            return this
-3062
-3063        return None
-3064
-3065    def _parse_field(
-3066        self,
-3067        any_token: bool = False,
-3068        tokens: t.Optional[t.Collection[TokenType]] = None,
-3069    ) -> t.Optional[exp.Expression]:
-3070        return (
-3071            self._parse_primary()
-3072            or self._parse_function()
-3073            or self._parse_id_var(any_token=any_token, tokens=tokens)
-3074        )
+3057            this = self._parse_query_modifiers(seq_get(expressions, 0))
+3058
+3059            if isinstance(this, exp.Subqueryable):
+3060                this = self._parse_set_operations(
+3061                    self._parse_subquery(this=this, parse_alias=False)
+3062                )
+3063            elif len(expressions) > 1:
+3064                this = self.expression(exp.Tuple, expressions=expressions)
+3065            else:
+3066                this = self.expression(exp.Paren, this=self._parse_set_operations(this))
+3067
+3068            if this:
+3069                this.add_comments(comments)
+3070            self._match_r_paren(expression=this)
+3071
+3072            return this
+3073
+3074        return None
 3075
-3076    def _parse_function(
-3077        self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
-3078    ) -> t.Optional[exp.Expression]:
-3079        if not self._curr:
-3080            return None
-3081
-3082        token_type = self._curr.token_type
-3083
-3084        if self._match_set(self.NO_PAREN_FUNCTION_PARSERS):
-3085            return self.NO_PAREN_FUNCTION_PARSERS[token_type](self)
+3076    def _parse_field(
+3077        self,
+3078        any_token: bool = False,
+3079        tokens: t.Optional[t.Collection[TokenType]] = None,
+3080    ) -> t.Optional[exp.Expression]:
+3081        return (
+3082            self._parse_primary()
+3083            or self._parse_function()
+3084            or self._parse_id_var(any_token=any_token, tokens=tokens)
+3085        )
 3086
-3087        if not self._next or self._next.token_type != TokenType.L_PAREN:
-3088            if token_type in self.NO_PAREN_FUNCTIONS:
-3089                self._advance()
-3090                return self.expression(self.NO_PAREN_FUNCTIONS[token_type])
-3091
-3092            return None
-3093
-3094        if token_type not in self.FUNC_TOKENS:
-3095            return None
-3096
-3097        this = self._curr.text
-3098        upper = this.upper()
-3099        self._advance(2)
-3100
-3101        parser = self.FUNCTION_PARSERS.get(upper)
+3087    def _parse_function(
+3088        self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
+3089    ) -> t.Optional[exp.Expression]:
+3090        if not self._curr:
+3091            return None
+3092
+3093        token_type = self._curr.token_type
+3094
+3095        if self._match_set(self.NO_PAREN_FUNCTION_PARSERS):
+3096            return self.NO_PAREN_FUNCTION_PARSERS[token_type](self)
+3097
+3098        if not self._next or self._next.token_type != TokenType.L_PAREN:
+3099            if token_type in self.NO_PAREN_FUNCTIONS:
+3100                self._advance()
+3101                return self.expression(self.NO_PAREN_FUNCTIONS[token_type])
 3102
-3103        if parser and not anonymous:
-3104            this = parser(self)
-3105        else:
-3106            subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type)
+3103            return None
+3104
+3105        if token_type not in self.FUNC_TOKENS:
+3106            return None
 3107
-3108            if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH):
-3109                this = self.expression(subquery_predicate, this=self._parse_select())
-3110                self._match_r_paren()
-3111                return this
-3112
-3113            if functions is None:
-3114                functions = self.FUNCTIONS
-3115
-3116            function = functions.get(upper)
-3117            args = self._parse_csv(self._parse_lambda)
+3108        this = self._curr.text
+3109        upper = this.upper()
+3110        self._advance(2)
+3111
+3112        parser = self.FUNCTION_PARSERS.get(upper)
+3113
+3114        if parser and not anonymous:
+3115            this = parser(self)
+3116        else:
+3117            subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type)
 3118
-3119            if function and not anonymous:
-3120                this = function(args)
-3121                self.validate_expression(this, args)
-3122            else:
-3123                this = self.expression(exp.Anonymous, this=this, expressions=args)
-3124
-3125        self._match_r_paren(this)
-3126        return self._parse_window(this)
-3127
-3128    def _parse_function_parameter(self) -> t.Optional[exp.Expression]:
-3129        return self._parse_column_def(self._parse_id_var())
-3130
-3131    def _parse_user_defined_function(
-3132        self, kind: t.Optional[TokenType] = None
-3133    ) -> t.Optional[exp.Expression]:
-3134        this = self._parse_id_var()
-3135
-3136        while self._match(TokenType.DOT):
-3137            this = self.expression(exp.Dot, this=this, expression=self._parse_id_var())
-3138
-3139        if not self._match(TokenType.L_PAREN):
-3140            return this
-3141
-3142        expressions = self._parse_csv(self._parse_function_parameter)
-3143        self._match_r_paren()
-3144        return self.expression(
-3145            exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True
-3146        )
-3147
-3148    def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]:
-3149        literal = self._parse_primary()
-3150        if literal:
-3151            return self.expression(exp.Introducer, this=token.text, expression=literal)
-3152
-3153        return self.expression(exp.Identifier, this=token.text)
+3119            if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH):
+3120                this = self.expression(subquery_predicate, this=self._parse_select())
+3121                self._match_r_paren()
+3122                return this
+3123
+3124            if functions is None:
+3125                functions = self.FUNCTIONS
+3126
+3127            function = functions.get(upper)
+3128
+3129            alias = upper in self.FUNCTIONS_WITH_ALIASED_ARGS
+3130            args = self._parse_csv(lambda: self._parse_lambda(alias=alias))
+3131
+3132            if function and not anonymous:
+3133                this = function(args)
+3134                self.validate_expression(this, args)
+3135            else:
+3136                this = self.expression(exp.Anonymous, this=this, expressions=args)
+3137
+3138        self._match_r_paren(this)
+3139        return self._parse_window(this)
+3140
+3141    def _parse_function_parameter(self) -> t.Optional[exp.Expression]:
+3142        return self._parse_column_def(self._parse_id_var())
+3143
+3144    def _parse_user_defined_function(
+3145        self, kind: t.Optional[TokenType] = None
+3146    ) -> t.Optional[exp.Expression]:
+3147        this = self._parse_id_var()
+3148
+3149        while self._match(TokenType.DOT):
+3150            this = self.expression(exp.Dot, this=this, expression=self._parse_id_var())
+3151
+3152        if not self._match(TokenType.L_PAREN):
+3153            return this
 3154
-3155    def _parse_national(self, token: Token) -> exp.Expression:
-3156        return self.expression(exp.National, this=exp.Literal.string(token.text))
-3157
-3158    def _parse_session_parameter(self) -> exp.Expression:
-3159        kind = None
-3160        this = self._parse_id_var() or self._parse_primary()
-3161
-3162        if this and self._match(TokenType.DOT):
-3163            kind = this.name
-3164            this = self._parse_var() or self._parse_primary()
+3155        expressions = self._parse_csv(self._parse_function_parameter)
+3156        self._match_r_paren()
+3157        return self.expression(
+3158            exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True
+3159        )
+3160
+3161    def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]:
+3162        literal = self._parse_primary()
+3163        if literal:
+3164            return self.expression(exp.Introducer, this=token.text, expression=literal)
 3165
-3166        return self.expression(exp.SessionParameter, this=this, kind=kind)
+3166        return self.expression(exp.Identifier, this=token.text)
 3167
-3168    def _parse_lambda(self, alias: bool = False) -> t.Optional[exp.Expression]:
-3169        index = self._index
-3170
-3171        if self._match(TokenType.L_PAREN):
-3172            expressions = self._parse_csv(self._parse_id_var)
-3173
-3174            if not self._match(TokenType.R_PAREN):
-3175                self._retreat(index)
-3176        else:
-3177            expressions = [self._parse_id_var()]
-3178
-3179        if self._match_set(self.LAMBDAS):
-3180            return self.LAMBDAS[self._prev.token_type](self, expressions)
-3181
-3182        self._retreat(index)
+3168    def _parse_session_parameter(self) -> exp.Expression:
+3169        kind = None
+3170        this = self._parse_id_var() or self._parse_primary()
+3171
+3172        if this and self._match(TokenType.DOT):
+3173            kind = this.name
+3174            this = self._parse_var() or self._parse_primary()
+3175
+3176        return self.expression(exp.SessionParameter, this=this, kind=kind)
+3177
+3178    def _parse_lambda(self, alias: bool = False) -> t.Optional[exp.Expression]:
+3179        index = self._index
+3180
+3181        if self._match(TokenType.L_PAREN):
+3182            expressions = self._parse_csv(self._parse_id_var)
 3183
-3184        this: t.Optional[exp.Expression]
-3185
-3186        if self._match(TokenType.DISTINCT):
-3187            this = self.expression(
-3188                exp.Distinct, expressions=self._parse_csv(self._parse_conjunction)
-3189            )
-3190        else:
-3191            this = self._parse_select_or_expression(alias=alias)
-3192
-3193            if isinstance(this, exp.EQ):
-3194                left = this.this
-3195                if isinstance(left, exp.Column):
-3196                    left.replace(exp.Var(this=left.text("this")))
-3197
-3198        return self._parse_limit(self._parse_order(self._parse_respect_or_ignore_nulls(this)))
-3199
-3200    def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
-3201        index = self._index
+3184            if not self._match(TokenType.R_PAREN):
+3185                self._retreat(index)
+3186        else:
+3187            expressions = [self._parse_id_var()]
+3188
+3189        if self._match_set(self.LAMBDAS):
+3190            return self.LAMBDAS[self._prev.token_type](self, expressions)
+3191
+3192        self._retreat(index)
+3193
+3194        this: t.Optional[exp.Expression]
+3195
+3196        if self._match(TokenType.DISTINCT):
+3197            this = self.expression(
+3198                exp.Distinct, expressions=self._parse_csv(self._parse_conjunction)
+3199            )
+3200        else:
+3201            this = self._parse_select_or_expression(alias=alias)
 3202
-3203        try:
-3204            if self._parse_select(nested=True):
-3205                return this
-3206        except Exception:
-3207            pass
-3208        finally:
-3209            self._retreat(index)
-3210
-3211        if not self._match(TokenType.L_PAREN):
-3212            return this
-3213
-3214        args = self._parse_csv(
-3215            lambda: self._parse_constraint()
-3216            or self._parse_column_def(self._parse_field(any_token=True))
-3217        )
-3218        self._match_r_paren()
-3219        return self.expression(exp.Schema, this=this, expressions=args)
+3203            if isinstance(this, exp.EQ):
+3204                left = this.this
+3205                if isinstance(left, exp.Column):
+3206                    left.replace(exp.Var(this=left.text("this")))
+3207
+3208        return self._parse_limit(self._parse_order(self._parse_respect_or_ignore_nulls(this)))
+3209
+3210    def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
+3211        index = self._index
+3212
+3213        try:
+3214            if self._parse_select(nested=True):
+3215                return this
+3216        except Exception:
+3217            pass
+3218        finally:
+3219            self._retreat(index)
 3220
-3221    def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-3222        # column defs are not really columns, they're identifiers
-3223        if isinstance(this, exp.Column):
-3224            this = this.this
-3225        kind = self._parse_types()
-3226
-3227        if self._match_text_seq("FOR", "ORDINALITY"):
-3228            return self.expression(exp.ColumnDef, this=this, ordinality=True)
-3229
-3230        constraints = []
-3231        while True:
-3232            constraint = self._parse_column_constraint()
-3233            if not constraint:
-3234                break
-3235            constraints.append(constraint)
+3221        if not self._match(TokenType.L_PAREN):
+3222            return this
+3223
+3224        args = self._parse_csv(
+3225            lambda: self._parse_constraint()
+3226            or self._parse_column_def(self._parse_field(any_token=True))
+3227        )
+3228        self._match_r_paren()
+3229        return self.expression(exp.Schema, this=this, expressions=args)
+3230
+3231    def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+3232        # column defs are not really columns, they're identifiers
+3233        if isinstance(this, exp.Column):
+3234            this = this.this
+3235        kind = self._parse_types()
 3236
-3237        if not kind and not constraints:
-3238            return this
+3237        if self._match_text_seq("FOR", "ORDINALITY"):
+3238            return self.expression(exp.ColumnDef, this=this, ordinality=True)
 3239
-3240        return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints)
-3241
-3242    def _parse_auto_increment(self) -> exp.Expression:
-3243        start = None
-3244        increment = None
-3245
-3246        if self._match(TokenType.L_PAREN, advance=False):
-3247            args = self._parse_wrapped_csv(self._parse_bitwise)
-3248            start = seq_get(args, 0)
-3249            increment = seq_get(args, 1)
-3250        elif self._match_text_seq("START"):
-3251            start = self._parse_bitwise()
-3252            self._match_text_seq("INCREMENT")
-3253            increment = self._parse_bitwise()
-3254
-3255        if start and increment:
-3256            return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment)
-3257
-3258        return exp.AutoIncrementColumnConstraint()
-3259
-3260    def _parse_compress(self) -> exp.Expression:
-3261        if self._match(TokenType.L_PAREN, advance=False):
-3262            return self.expression(
-3263                exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise)
-3264            )
-3265
-3266        return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise())
+3240        constraints = []
+3241        while True:
+3242            constraint = self._parse_column_constraint()
+3243            if not constraint:
+3244                break
+3245            constraints.append(constraint)
+3246
+3247        if not kind and not constraints:
+3248            return this
+3249
+3250        return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints)
+3251
+3252    def _parse_auto_increment(self) -> exp.Expression:
+3253        start = None
+3254        increment = None
+3255
+3256        if self._match(TokenType.L_PAREN, advance=False):
+3257            args = self._parse_wrapped_csv(self._parse_bitwise)
+3258            start = seq_get(args, 0)
+3259            increment = seq_get(args, 1)
+3260        elif self._match_text_seq("START"):
+3261            start = self._parse_bitwise()
+3262            self._match_text_seq("INCREMENT")
+3263            increment = self._parse_bitwise()
+3264
+3265        if start and increment:
+3266            return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment)
 3267
-3268    def _parse_generated_as_identity(self) -> exp.Expression:
-3269        if self._match_text_seq("BY", "DEFAULT"):
-3270            on_null = self._match_pair(TokenType.ON, TokenType.NULL)
-3271            this = self.expression(
-3272                exp.GeneratedAsIdentityColumnConstraint, this=False, on_null=on_null
-3273            )
-3274        else:
-3275            self._match_text_seq("ALWAYS")
-3276            this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True)
+3268        return exp.AutoIncrementColumnConstraint()
+3269
+3270    def _parse_compress(self) -> exp.Expression:
+3271        if self._match(TokenType.L_PAREN, advance=False):
+3272            return self.expression(
+3273                exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise)
+3274            )
+3275
+3276        return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise())
 3277
-3278        self._match(TokenType.ALIAS)
-3279        identity = self._match_text_seq("IDENTITY")
-3280
-3281        if self._match(TokenType.L_PAREN):
-3282            if self._match_text_seq("START", "WITH"):
-3283                this.set("start", self._parse_bitwise())
-3284            if self._match_text_seq("INCREMENT", "BY"):
-3285                this.set("increment", self._parse_bitwise())
-3286            if self._match_text_seq("MINVALUE"):
-3287                this.set("minvalue", self._parse_bitwise())
-3288            if self._match_text_seq("MAXVALUE"):
-3289                this.set("maxvalue", self._parse_bitwise())
+3278    def _parse_generated_as_identity(self) -> exp.Expression:
+3279        if self._match_text_seq("BY", "DEFAULT"):
+3280            on_null = self._match_pair(TokenType.ON, TokenType.NULL)
+3281            this = self.expression(
+3282                exp.GeneratedAsIdentityColumnConstraint, this=False, on_null=on_null
+3283            )
+3284        else:
+3285            self._match_text_seq("ALWAYS")
+3286            this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True)
+3287
+3288        self._match(TokenType.ALIAS)
+3289        identity = self._match_text_seq("IDENTITY")
 3290
-3291            if self._match_text_seq("CYCLE"):
-3292                this.set("cycle", True)
-3293            elif self._match_text_seq("NO", "CYCLE"):
-3294                this.set("cycle", False)
-3295
-3296            if not identity:
-3297                this.set("expression", self._parse_bitwise())
-3298
-3299            self._match_r_paren()
+3291        if self._match(TokenType.L_PAREN):
+3292            if self._match_text_seq("START", "WITH"):
+3293                this.set("start", self._parse_bitwise())
+3294            if self._match_text_seq("INCREMENT", "BY"):
+3295                this.set("increment", self._parse_bitwise())
+3296            if self._match_text_seq("MINVALUE"):
+3297                this.set("minvalue", self._parse_bitwise())
+3298            if self._match_text_seq("MAXVALUE"):
+3299                this.set("maxvalue", self._parse_bitwise())
 3300
-3301        return this
-3302
-3303    def _parse_inline(self) -> t.Optional[exp.Expression]:
-3304        self._match_text_seq("LENGTH")
-3305        return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise())
-3306
-3307    def _parse_not_constraint(self) -> t.Optional[exp.Expression]:
-3308        if self._match_text_seq("NULL"):
-3309            return self.expression(exp.NotNullColumnConstraint)
-3310        if self._match_text_seq("CASESPECIFIC"):
-3311            return self.expression(exp.CaseSpecificColumnConstraint, not_=True)
-3312        return None
-3313
-3314    def _parse_column_constraint(self) -> t.Optional[exp.Expression]:
-3315        if self._match(TokenType.CONSTRAINT):
-3316            this = self._parse_id_var()
-3317        else:
-3318            this = None
-3319
-3320        if self._match_texts(self.CONSTRAINT_PARSERS):
-3321            return self.expression(
-3322                exp.ColumnConstraint,
-3323                this=this,
-3324                kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self),
-3325            )
-3326
-3327        return this
-3328
-3329    def _parse_constraint(self) -> t.Optional[exp.Expression]:
-3330        if not self._match(TokenType.CONSTRAINT):
-3331            return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS)
-3332
-3333        this = self._parse_id_var()
-3334        expressions = []
-3335
-3336        while True:
-3337            constraint = self._parse_unnamed_constraint() or self._parse_function()
-3338            if not constraint:
-3339                break
-3340            expressions.append(constraint)
-3341
-3342        return self.expression(exp.Constraint, this=this, expressions=expressions)
-3343
-3344    def _parse_unnamed_constraint(
-3345        self, constraints: t.Optional[t.Collection[str]] = None
-3346    ) -> t.Optional[exp.Expression]:
-3347        if not self._match_texts(constraints or self.CONSTRAINT_PARSERS):
-3348            return None
-3349
-3350        constraint = self._prev.text.upper()
-3351        if constraint not in self.CONSTRAINT_PARSERS:
-3352            self.raise_error(f"No parser found for schema constraint {constraint}.")
+3301            if self._match_text_seq("CYCLE"):
+3302                this.set("cycle", True)
+3303            elif self._match_text_seq("NO", "CYCLE"):
+3304                this.set("cycle", False)
+3305
+3306            if not identity:
+3307                this.set("expression", self._parse_bitwise())
+3308
+3309            self._match_r_paren()
+3310
+3311        return this
+3312
+3313    def _parse_inline(self) -> t.Optional[exp.Expression]:
+3314        self._match_text_seq("LENGTH")
+3315        return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise())
+3316
+3317    def _parse_not_constraint(self) -> t.Optional[exp.Expression]:
+3318        if self._match_text_seq("NULL"):
+3319            return self.expression(exp.NotNullColumnConstraint)
+3320        if self._match_text_seq("CASESPECIFIC"):
+3321            return self.expression(exp.CaseSpecificColumnConstraint, not_=True)
+3322        return None
+3323
+3324    def _parse_column_constraint(self) -> t.Optional[exp.Expression]:
+3325        if self._match(TokenType.CONSTRAINT):
+3326            this = self._parse_id_var()
+3327        else:
+3328            this = None
+3329
+3330        if self._match_texts(self.CONSTRAINT_PARSERS):
+3331            return self.expression(
+3332                exp.ColumnConstraint,
+3333                this=this,
+3334                kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self),
+3335            )
+3336
+3337        return this
+3338
+3339    def _parse_constraint(self) -> t.Optional[exp.Expression]:
+3340        if not self._match(TokenType.CONSTRAINT):
+3341            return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS)
+3342
+3343        this = self._parse_id_var()
+3344        expressions = []
+3345
+3346        while True:
+3347            constraint = self._parse_unnamed_constraint() or self._parse_function()
+3348            if not constraint:
+3349                break
+3350            expressions.append(constraint)
+3351
+3352        return self.expression(exp.Constraint, this=this, expressions=expressions)
 3353
-3354        return self.CONSTRAINT_PARSERS[constraint](self)
-3355
-3356    def _parse_unique(self) -> exp.Expression:
-3357        if not self._match(TokenType.L_PAREN, advance=False):
-3358            return self.expression(exp.UniqueColumnConstraint)
-3359        return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars())
-3360
-3361    def _parse_key_constraint_options(self) -> t.List[str]:
-3362        options = []
-3363        while True:
-3364            if not self._curr:
-3365                break
-3366
-3367            if self._match(TokenType.ON):
-3368                action = None
-3369                on = self._advance_any() and self._prev.text
+3354    def _parse_unnamed_constraint(
+3355        self, constraints: t.Optional[t.Collection[str]] = None
+3356    ) -> t.Optional[exp.Expression]:
+3357        if not self._match_texts(constraints or self.CONSTRAINT_PARSERS):
+3358            return None
+3359
+3360        constraint = self._prev.text.upper()
+3361        if constraint not in self.CONSTRAINT_PARSERS:
+3362            self.raise_error(f"No parser found for schema constraint {constraint}.")
+3363
+3364        return self.CONSTRAINT_PARSERS[constraint](self)
+3365
+3366    def _parse_unique(self) -> exp.Expression:
+3367        if not self._match(TokenType.L_PAREN, advance=False):
+3368            return self.expression(exp.UniqueColumnConstraint)
+3369        return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars())
 3370
-3371                if self._match_text_seq("NO", "ACTION"):
-3372                    action = "NO ACTION"
-3373                elif self._match_text_seq("CASCADE"):
-3374                    action = "CASCADE"
-3375                elif self._match_pair(TokenType.SET, TokenType.NULL):
-3376                    action = "SET NULL"
-3377                elif self._match_pair(TokenType.SET, TokenType.DEFAULT):
-3378                    action = "SET DEFAULT"
-3379                else:
-3380                    self.raise_error("Invalid key constraint")
-3381
-3382                options.append(f"ON {on} {action}")
-3383            elif self._match_text_seq("NOT", "ENFORCED"):
-3384                options.append("NOT ENFORCED")
-3385            elif self._match_text_seq("DEFERRABLE"):
-3386                options.append("DEFERRABLE")
-3387            elif self._match_text_seq("INITIALLY", "DEFERRED"):
-3388                options.append("INITIALLY DEFERRED")
-3389            elif self._match_text_seq("NORELY"):
-3390                options.append("NORELY")
-3391            elif self._match_text_seq("MATCH", "FULL"):
-3392                options.append("MATCH FULL")
-3393            else:
-3394                break
-3395
-3396        return options
-3397
-3398    def _parse_references(self, match=True) -> t.Optional[exp.Expression]:
-3399        if match and not self._match(TokenType.REFERENCES):
-3400            return None
-3401
-3402        expressions = None
-3403        this = self._parse_id_var()
-3404
-3405        if self._match(TokenType.L_PAREN, advance=False):
-3406            expressions = self._parse_wrapped_id_vars()
+3371    def _parse_key_constraint_options(self) -> t.List[str]:
+3372        options = []
+3373        while True:
+3374            if not self._curr:
+3375                break
+3376
+3377            if self._match(TokenType.ON):
+3378                action = None
+3379                on = self._advance_any() and self._prev.text
+3380
+3381                if self._match_text_seq("NO", "ACTION"):
+3382                    action = "NO ACTION"
+3383                elif self._match_text_seq("CASCADE"):
+3384                    action = "CASCADE"
+3385                elif self._match_pair(TokenType.SET, TokenType.NULL):
+3386                    action = "SET NULL"
+3387                elif self._match_pair(TokenType.SET, TokenType.DEFAULT):
+3388                    action = "SET DEFAULT"
+3389                else:
+3390                    self.raise_error("Invalid key constraint")
+3391
+3392                options.append(f"ON {on} {action}")
+3393            elif self._match_text_seq("NOT", "ENFORCED"):
+3394                options.append("NOT ENFORCED")
+3395            elif self._match_text_seq("DEFERRABLE"):
+3396                options.append("DEFERRABLE")
+3397            elif self._match_text_seq("INITIALLY", "DEFERRED"):
+3398                options.append("INITIALLY DEFERRED")
+3399            elif self._match_text_seq("NORELY"):
+3400                options.append("NORELY")
+3401            elif self._match_text_seq("MATCH", "FULL"):
+3402                options.append("MATCH FULL")
+3403            else:
+3404                break
+3405
+3406        return options
 3407
-3408        options = self._parse_key_constraint_options()
-3409        return self.expression(exp.Reference, this=this, expressions=expressions, options=options)
-3410
-3411    def _parse_foreign_key(self) -> exp.Expression:
-3412        expressions = self._parse_wrapped_id_vars()
-3413        reference = self._parse_references()
-3414        options = {}
-3415
-3416        while self._match(TokenType.ON):
-3417            if not self._match_set((TokenType.DELETE, TokenType.UPDATE)):
-3418                self.raise_error("Expected DELETE or UPDATE")
-3419
-3420            kind = self._prev.text.lower()
-3421
-3422            if self._match_text_seq("NO", "ACTION"):
-3423                action = "NO ACTION"
-3424            elif self._match(TokenType.SET):
-3425                self._match_set((TokenType.NULL, TokenType.DEFAULT))
-3426                action = "SET " + self._prev.text.upper()
-3427            else:
-3428                self._advance()
-3429                action = self._prev.text.upper()
-3430
-3431            options[kind] = action
-3432
-3433        return self.expression(
-3434            exp.ForeignKey, expressions=expressions, reference=reference, **options  # type: ignore
-3435        )
-3436
-3437    def _parse_primary_key(self) -> exp.Expression:
-3438        desc = (
-3439            self._match_set((TokenType.ASC, TokenType.DESC))
-3440            and self._prev.token_type == TokenType.DESC
-3441        )
+3408    def _parse_references(self, match: bool = True) -> t.Optional[exp.Expression]:
+3409        if match and not self._match(TokenType.REFERENCES):
+3410            return None
+3411
+3412        expressions = None
+3413        this = self._parse_id_var()
+3414
+3415        if self._match(TokenType.L_PAREN, advance=False):
+3416            expressions = self._parse_wrapped_id_vars()
+3417
+3418        options = self._parse_key_constraint_options()
+3419        return self.expression(exp.Reference, this=this, expressions=expressions, options=options)
+3420
+3421    def _parse_foreign_key(self) -> exp.Expression:
+3422        expressions = self._parse_wrapped_id_vars()
+3423        reference = self._parse_references()
+3424        options = {}
+3425
+3426        while self._match(TokenType.ON):
+3427            if not self._match_set((TokenType.DELETE, TokenType.UPDATE)):
+3428                self.raise_error("Expected DELETE or UPDATE")
+3429
+3430            kind = self._prev.text.lower()
+3431
+3432            if self._match_text_seq("NO", "ACTION"):
+3433                action = "NO ACTION"
+3434            elif self._match(TokenType.SET):
+3435                self._match_set((TokenType.NULL, TokenType.DEFAULT))
+3436                action = "SET " + self._prev.text.upper()
+3437            else:
+3438                self._advance()
+3439                action = self._prev.text.upper()
+3440
+3441            options[kind] = action
 3442
-3443        if not self._match(TokenType.L_PAREN, advance=False):
-3444            return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc)
-3445
-3446        expressions = self._parse_wrapped_csv(self._parse_field)
-3447        options = self._parse_key_constraint_options()
-3448        return self.expression(exp.PrimaryKey, expressions=expressions, options=options)
-3449
-3450    def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-3451        if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)):
-3452            return this
-3453
-3454        bracket_kind = self._prev.token_type
-3455        expressions: t.List[t.Optional[exp.Expression]]
-3456
-3457        if self._match(TokenType.COLON):
-3458            expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())]
-3459        else:
-3460            expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction()))
-3461
-3462        # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs
-3463        if bracket_kind == TokenType.L_BRACE:
-3464            this = self.expression(exp.Struct, expressions=expressions)
-3465        elif not this or this.name.upper() == "ARRAY":
-3466            this = self.expression(exp.Array, expressions=expressions)
-3467        else:
-3468            expressions = apply_index_offset(this, expressions, -self.index_offset)
-3469            this = self.expression(exp.Bracket, this=this, expressions=expressions)
-3470
-3471        if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET:
-3472            self.raise_error("Expected ]")
-3473        elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE:
-3474            self.raise_error("Expected }")
-3475
-3476        self._add_comments(this)
-3477        return self._parse_bracket(this)
-3478
-3479    def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-3480        if self._match(TokenType.COLON):
-3481            return self.expression(exp.Slice, this=this, expression=self._parse_conjunction())
-3482        return this
-3483
-3484    def _parse_case(self) -> t.Optional[exp.Expression]:
-3485        ifs = []
-3486        default = None
-3487
-3488        expression = self._parse_conjunction()
-3489
-3490        while self._match(TokenType.WHEN):
-3491            this = self._parse_conjunction()
-3492            self._match(TokenType.THEN)
-3493            then = self._parse_conjunction()
-3494            ifs.append(self.expression(exp.If, this=this, true=then))
-3495
-3496        if self._match(TokenType.ELSE):
-3497            default = self._parse_conjunction()
-3498
-3499        if not self._match(TokenType.END):
-3500            self.raise_error("Expected END after CASE", self._prev)
-3501
-3502        return self._parse_window(
-3503            self.expression(exp.Case, this=expression, ifs=ifs, default=default)
-3504        )
+3443        return self.expression(
+3444            exp.ForeignKey, expressions=expressions, reference=reference, **options  # type: ignore
+3445        )
+3446
+3447    def _parse_primary_key(self) -> exp.Expression:
+3448        desc = (
+3449            self._match_set((TokenType.ASC, TokenType.DESC))
+3450            and self._prev.token_type == TokenType.DESC
+3451        )
+3452
+3453        if not self._match(TokenType.L_PAREN, advance=False):
+3454            return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc)
+3455
+3456        expressions = self._parse_wrapped_csv(self._parse_field)
+3457        options = self._parse_key_constraint_options()
+3458        return self.expression(exp.PrimaryKey, expressions=expressions, options=options)
+3459
+3460    def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+3461        if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)):
+3462            return this
+3463
+3464        bracket_kind = self._prev.token_type
+3465        expressions: t.List[t.Optional[exp.Expression]]
+3466
+3467        if self._match(TokenType.COLON):
+3468            expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())]
+3469        else:
+3470            expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction()))
+3471
+3472        # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs
+3473        if bracket_kind == TokenType.L_BRACE:
+3474            this = self.expression(exp.Struct, expressions=expressions)
+3475        elif not this or this.name.upper() == "ARRAY":
+3476            this = self.expression(exp.Array, expressions=expressions)
+3477        else:
+3478            expressions = apply_index_offset(this, expressions, -self.index_offset)
+3479            this = self.expression(exp.Bracket, this=this, expressions=expressions)
+3480
+3481        if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET:
+3482            self.raise_error("Expected ]")
+3483        elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE:
+3484            self.raise_error("Expected }")
+3485
+3486        self._add_comments(this)
+3487        return self._parse_bracket(this)
+3488
+3489    def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+3490        if self._match(TokenType.COLON):
+3491            return self.expression(exp.Slice, this=this, expression=self._parse_conjunction())
+3492        return this
+3493
+3494    def _parse_case(self) -> t.Optional[exp.Expression]:
+3495        ifs = []
+3496        default = None
+3497
+3498        expression = self._parse_conjunction()
+3499
+3500        while self._match(TokenType.WHEN):
+3501            this = self._parse_conjunction()
+3502            self._match(TokenType.THEN)
+3503            then = self._parse_conjunction()
+3504            ifs.append(self.expression(exp.If, this=this, true=then))
 3505
-3506    def _parse_if(self) -> t.Optional[exp.Expression]:
-3507        if self._match(TokenType.L_PAREN):
-3508            args = self._parse_csv(self._parse_conjunction)
-3509            this = exp.If.from_arg_list(args)
-3510            self.validate_expression(this, args)
-3511            self._match_r_paren()
-3512        else:
-3513            index = self._index - 1
-3514            condition = self._parse_conjunction()
+3506        if self._match(TokenType.ELSE):
+3507            default = self._parse_conjunction()
+3508
+3509        if not self._match(TokenType.END):
+3510            self.raise_error("Expected END after CASE", self._prev)
+3511
+3512        return self._parse_window(
+3513            self.expression(exp.Case, this=expression, ifs=ifs, default=default)
+3514        )
 3515
-3516            if not condition:
-3517                self._retreat(index)
-3518                return None
-3519
-3520            self._match(TokenType.THEN)
-3521            true = self._parse_conjunction()
-3522            false = self._parse_conjunction() if self._match(TokenType.ELSE) else None
-3523            self._match(TokenType.END)
-3524            this = self.expression(exp.If, this=condition, true=true, false=false)
+3516    def _parse_if(self) -> t.Optional[exp.Expression]:
+3517        if self._match(TokenType.L_PAREN):
+3518            args = self._parse_csv(self._parse_conjunction)
+3519            this = exp.If.from_arg_list(args)
+3520            self.validate_expression(this, args)
+3521            self._match_r_paren()
+3522        else:
+3523            index = self._index - 1
+3524            condition = self._parse_conjunction()
 3525
-3526        return self._parse_window(this)
-3527
-3528    def _parse_extract(self) -> exp.Expression:
-3529        this = self._parse_function() or self._parse_var() or self._parse_type()
-3530
-3531        if self._match(TokenType.FROM):
-3532            return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
-3533
-3534        if not self._match(TokenType.COMMA):
-3535            self.raise_error("Expected FROM or comma after EXTRACT", self._prev)
-3536
-3537        return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
-3538
-3539    def _parse_cast(self, strict: bool) -> exp.Expression:
-3540        this = self._parse_conjunction()
-3541
-3542        if not self._match(TokenType.ALIAS):
-3543            if self._match(TokenType.COMMA):
-3544                return self.expression(
-3545                    exp.CastToStrType, this=this, expression=self._parse_string()
-3546                )
-3547            else:
-3548                self.raise_error("Expected AS after CAST")
-3549
-3550        to = self._parse_types()
+3526            if not condition:
+3527                self._retreat(index)
+3528                return None
+3529
+3530            self._match(TokenType.THEN)
+3531            true = self._parse_conjunction()
+3532            false = self._parse_conjunction() if self._match(TokenType.ELSE) else None
+3533            self._match(TokenType.END)
+3534            this = self.expression(exp.If, this=condition, true=true, false=false)
+3535
+3536        return self._parse_window(this)
+3537
+3538    def _parse_extract(self) -> exp.Expression:
+3539        this = self._parse_function() or self._parse_var() or self._parse_type()
+3540
+3541        if self._match(TokenType.FROM):
+3542            return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
+3543
+3544        if not self._match(TokenType.COMMA):
+3545            self.raise_error("Expected FROM or comma after EXTRACT", self._prev)
+3546
+3547        return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
+3548
+3549    def _parse_cast(self, strict: bool) -> exp.Expression:
+3550        this = self._parse_conjunction()
 3551
-3552        if not to:
-3553            self.raise_error("Expected TYPE after CAST")
-3554        elif to.this == exp.DataType.Type.CHAR:
-3555            if self._match(TokenType.CHARACTER_SET):
-3556                to = self.expression(exp.CharacterSet, this=self._parse_var_or_string())
-3557
-3558        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
+3552        if not self._match(TokenType.ALIAS):
+3553            if self._match(TokenType.COMMA):
+3554                return self.expression(
+3555                    exp.CastToStrType, this=this, expression=self._parse_string()
+3556                )
+3557            else:
+3558                self.raise_error("Expected AS after CAST")
 3559
-3560    def _parse_string_agg(self) -> exp.Expression:
-3561        expression: t.Optional[exp.Expression]
-3562
-3563        if self._match(TokenType.DISTINCT):
-3564            args = self._parse_csv(self._parse_conjunction)
-3565            expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)])
-3566        else:
-3567            args = self._parse_csv(self._parse_conjunction)
-3568            expression = seq_get(args, 0)
+3560        to = self._parse_types()
+3561
+3562        if not to:
+3563            self.raise_error("Expected TYPE after CAST")
+3564        elif to.this == exp.DataType.Type.CHAR:
+3565            if self._match(TokenType.CHARACTER_SET):
+3566                to = self.expression(exp.CharacterSet, this=self._parse_var_or_string())
+3567
+3568        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
 3569
-3570        index = self._index
-3571        if not self._match(TokenType.R_PAREN):
-3572            # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]])
-3573            order = self._parse_order(this=expression)
-3574            return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
-3575
-3576        # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]).
-3577        # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that
-3578        # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them.
-3579        if not self._match_text_seq("WITHIN", "GROUP"):
-3580            self._retreat(index)
-3581            this = exp.GroupConcat.from_arg_list(args)
-3582            self.validate_expression(this, args)
-3583            return this
-3584
-3585        self._match_l_paren()  # The corresponding match_r_paren will be called in parse_function (caller)
-3586        order = self._parse_order(this=expression)
-3587        return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
-3588
-3589    def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
-3590        to: t.Optional[exp.Expression]
-3591        this = self._parse_bitwise()
-3592
-3593        if self._match(TokenType.USING):
-3594            to = self.expression(exp.CharacterSet, this=self._parse_var())
-3595        elif self._match(TokenType.COMMA):
-3596            to = self._parse_bitwise()
-3597        else:
-3598            to = None
-3599
-3600        # Swap the argument order if needed to produce the correct AST
-3601        if self.CONVERT_TYPE_FIRST:
-3602            this, to = to, this
-3603
-3604        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
-3605
-3606    def _parse_decode(self) -> t.Optional[exp.Expression]:
-3607        """
-3608        There are generally two variants of the DECODE function:
+3570    def _parse_string_agg(self) -> exp.Expression:
+3571        expression: t.Optional[exp.Expression]
+3572
+3573        if self._match(TokenType.DISTINCT):
+3574            args = self._parse_csv(self._parse_conjunction)
+3575            expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)])
+3576        else:
+3577            args = self._parse_csv(self._parse_conjunction)
+3578            expression = seq_get(args, 0)
+3579
+3580        index = self._index
+3581        if not self._match(TokenType.R_PAREN):
+3582            # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]])
+3583            order = self._parse_order(this=expression)
+3584            return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
+3585
+3586        # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]).
+3587        # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that
+3588        # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them.
+3589        if not self._match_text_seq("WITHIN", "GROUP"):
+3590            self._retreat(index)
+3591            this = exp.GroupConcat.from_arg_list(args)
+3592            self.validate_expression(this, args)
+3593            return this
+3594
+3595        self._match_l_paren()  # The corresponding match_r_paren will be called in parse_function (caller)
+3596        order = self._parse_order(this=expression)
+3597        return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
+3598
+3599    def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
+3600        to: t.Optional[exp.Expression]
+3601        this = self._parse_bitwise()
+3602
+3603        if self._match(TokenType.USING):
+3604            to = self.expression(exp.CharacterSet, this=self._parse_var())
+3605        elif self._match(TokenType.COMMA):
+3606            to = self._parse_bitwise()
+3607        else:
+3608            to = None
 3609
-3610        - DECODE(bin, charset)
-3611        - DECODE(expression, search, result [, search, result] ... [, default])
-3612
-3613        The second variant will always be parsed into a CASE expression. Note that NULL
-3614        needs special treatment, since we need to explicitly check for it with `IS NULL`,
-3615        instead of relying on pattern matching.
-3616        """
-3617        args = self._parse_csv(self._parse_conjunction)
-3618
-3619        if len(args) < 3:
-3620            return self.expression(exp.Decode, this=seq_get(args, 0), charset=seq_get(args, 1))
-3621
-3622        expression, *expressions = args
-3623        if not expression:
-3624            return None
-3625
-3626        ifs = []
-3627        for search, result in zip(expressions[::2], expressions[1::2]):
-3628            if not search or not result:
-3629                return None
-3630
-3631            if isinstance(search, exp.Literal):
-3632                ifs.append(
-3633                    exp.If(this=exp.EQ(this=expression.copy(), expression=search), true=result)
-3634                )
-3635            elif isinstance(search, exp.Null):
-3636                ifs.append(
-3637                    exp.If(this=exp.Is(this=expression.copy(), expression=exp.Null()), true=result)
-3638                )
-3639            else:
-3640                cond = exp.or_(
-3641                    exp.EQ(this=expression.copy(), expression=search),
-3642                    exp.and_(
-3643                        exp.Is(this=expression.copy(), expression=exp.Null()),
-3644                        exp.Is(this=search.copy(), expression=exp.Null()),
-3645                        copy=False,
-3646                    ),
-3647                    copy=False,
+3610        # Swap the argument order if needed to produce the correct AST
+3611        if self.CONVERT_TYPE_FIRST:
+3612            this, to = to, this
+3613
+3614        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
+3615
+3616    def _parse_decode(self) -> t.Optional[exp.Expression]:
+3617        """
+3618        There are generally two variants of the DECODE function:
+3619
+3620        - DECODE(bin, charset)
+3621        - DECODE(expression, search, result [, search, result] ... [, default])
+3622
+3623        The second variant will always be parsed into a CASE expression. Note that NULL
+3624        needs special treatment, since we need to explicitly check for it with `IS NULL`,
+3625        instead of relying on pattern matching.
+3626        """
+3627        args = self._parse_csv(self._parse_conjunction)
+3628
+3629        if len(args) < 3:
+3630            return self.expression(exp.Decode, this=seq_get(args, 0), charset=seq_get(args, 1))
+3631
+3632        expression, *expressions = args
+3633        if not expression:
+3634            return None
+3635
+3636        ifs = []
+3637        for search, result in zip(expressions[::2], expressions[1::2]):
+3638            if not search or not result:
+3639                return None
+3640
+3641            if isinstance(search, exp.Literal):
+3642                ifs.append(
+3643                    exp.If(this=exp.EQ(this=expression.copy(), expression=search), true=result)
+3644                )
+3645            elif isinstance(search, exp.Null):
+3646                ifs.append(
+3647                    exp.If(this=exp.Is(this=expression.copy(), expression=exp.Null()), true=result)
 3648                )
-3649                ifs.append(exp.If(this=cond, true=result))
-3650
-3651        return exp.Case(ifs=ifs, default=expressions[-1] if len(expressions) % 2 == 1 else None)
-3652
-3653    def _parse_json_key_value(self) -> t.Optional[exp.Expression]:
-3654        self._match_text_seq("KEY")
-3655        key = self._parse_field()
-3656        self._match(TokenType.COLON)
-3657        self._match_text_seq("VALUE")
-3658        value = self._parse_field()
-3659        if not key and not value:
-3660            return None
-3661        return self.expression(exp.JSONKeyValue, this=key, expression=value)
+3649            else:
+3650                cond = exp.or_(
+3651                    exp.EQ(this=expression.copy(), expression=search),
+3652                    exp.and_(
+3653                        exp.Is(this=expression.copy(), expression=exp.Null()),
+3654                        exp.Is(this=search.copy(), expression=exp.Null()),
+3655                        copy=False,
+3656                    ),
+3657                    copy=False,
+3658                )
+3659                ifs.append(exp.If(this=cond, true=result))
+3660
+3661        return exp.Case(ifs=ifs, default=expressions[-1] if len(expressions) % 2 == 1 else None)
 3662
-3663    def _parse_json_object(self) -> exp.Expression:
-3664        expressions = self._parse_csv(self._parse_json_key_value)
-3665
-3666        null_handling = None
-3667        if self._match_text_seq("NULL", "ON", "NULL"):
-3668            null_handling = "NULL ON NULL"
-3669        elif self._match_text_seq("ABSENT", "ON", "NULL"):
-3670            null_handling = "ABSENT ON NULL"
-3671
-3672        unique_keys = None
-3673        if self._match_text_seq("WITH", "UNIQUE"):
-3674            unique_keys = True
-3675        elif self._match_text_seq("WITHOUT", "UNIQUE"):
-3676            unique_keys = False
-3677
-3678        self._match_text_seq("KEYS")
-3679
-3680        return_type = self._match_text_seq("RETURNING") and self._parse_type()
-3681        format_json = self._match_text_seq("FORMAT", "JSON")
-3682        encoding = self._match_text_seq("ENCODING") and self._parse_var()
-3683
-3684        return self.expression(
-3685            exp.JSONObject,
-3686            expressions=expressions,
-3687            null_handling=null_handling,
-3688            unique_keys=unique_keys,
-3689            return_type=return_type,
-3690            format_json=format_json,
-3691            encoding=encoding,
-3692        )
+3663    def _parse_json_key_value(self) -> t.Optional[exp.Expression]:
+3664        self._match_text_seq("KEY")
+3665        key = self._parse_field()
+3666        self._match(TokenType.COLON)
+3667        self._match_text_seq("VALUE")
+3668        value = self._parse_field()
+3669        if not key and not value:
+3670            return None
+3671        return self.expression(exp.JSONKeyValue, this=key, expression=value)
+3672
+3673    def _parse_json_object(self) -> exp.Expression:
+3674        expressions = self._parse_csv(self._parse_json_key_value)
+3675
+3676        null_handling = None
+3677        if self._match_text_seq("NULL", "ON", "NULL"):
+3678            null_handling = "NULL ON NULL"
+3679        elif self._match_text_seq("ABSENT", "ON", "NULL"):
+3680            null_handling = "ABSENT ON NULL"
+3681
+3682        unique_keys = None
+3683        if self._match_text_seq("WITH", "UNIQUE"):
+3684            unique_keys = True
+3685        elif self._match_text_seq("WITHOUT", "UNIQUE"):
+3686            unique_keys = False
+3687
+3688        self._match_text_seq("KEYS")
+3689
+3690        return_type = self._match_text_seq("RETURNING") and self._parse_type()
+3691        format_json = self._match_text_seq("FORMAT", "JSON")
+3692        encoding = self._match_text_seq("ENCODING") and self._parse_var()
 3693
-3694    def _parse_logarithm(self) -> exp.Expression:
-3695        # Default argument order is base, expression
-3696        args = self._parse_csv(self._parse_range)
-3697
-3698        if len(args) > 1:
-3699            if not self.LOG_BASE_FIRST:
-3700                args.reverse()
-3701            return exp.Log.from_arg_list(args)
-3702
-3703        return self.expression(
-3704            exp.Ln if self.LOG_DEFAULTS_TO_LN else exp.Log, this=seq_get(args, 0)
-3705        )
-3706
-3707    def _parse_match_against(self) -> exp.Expression:
-3708        expressions = self._parse_csv(self._parse_column)
-3709
-3710        self._match_text_seq(")", "AGAINST", "(")
-3711
-3712        this = self._parse_string()
-3713
-3714        if self._match_text_seq("IN", "NATURAL", "LANGUAGE", "MODE"):
-3715            modifier = "IN NATURAL LANGUAGE MODE"
-3716            if self._match_text_seq("WITH", "QUERY", "EXPANSION"):
-3717                modifier = f"{modifier} WITH QUERY EXPANSION"
-3718        elif self._match_text_seq("IN", "BOOLEAN", "MODE"):
-3719            modifier = "IN BOOLEAN MODE"
-3720        elif self._match_text_seq("WITH", "QUERY", "EXPANSION"):
-3721            modifier = "WITH QUERY EXPANSION"
-3722        else:
-3723            modifier = None
-3724
-3725        return self.expression(
-3726            exp.MatchAgainst, this=this, expressions=expressions, modifier=modifier
-3727        )
-3728
-3729    # https://learn.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql?view=sql-server-ver16
-3730    def _parse_open_json(self) -> exp.Expression:
-3731        this = self._parse_bitwise()
-3732        path = self._match(TokenType.COMMA) and self._parse_string()
-3733
-3734        def _parse_open_json_column_def() -> exp.Expression:
-3735            this = self._parse_field(any_token=True)
-3736            kind = self._parse_types()
-3737            path = self._parse_string()
-3738            as_json = self._match_pair(TokenType.ALIAS, TokenType.JSON)
-3739            return self.expression(
-3740                exp.OpenJSONColumnDef, this=this, kind=kind, path=path, as_json=as_json
-3741            )
-3742
-3743        expressions = None
-3744        if self._match_pair(TokenType.R_PAREN, TokenType.WITH):
-3745            self._match_l_paren()
-3746            expressions = self._parse_csv(_parse_open_json_column_def)
-3747
-3748        return self.expression(exp.OpenJSON, this=this, path=path, expressions=expressions)
-3749
-3750    def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
-3751        args = self._parse_csv(self._parse_bitwise)
+3694        return self.expression(
+3695            exp.JSONObject,
+3696            expressions=expressions,
+3697            null_handling=null_handling,
+3698            unique_keys=unique_keys,
+3699            return_type=return_type,
+3700            format_json=format_json,
+3701            encoding=encoding,
+3702        )
+3703
+3704    def _parse_logarithm(self) -> exp.Expression:
+3705        # Default argument order is base, expression
+3706        args = self._parse_csv(self._parse_range)
+3707
+3708        if len(args) > 1:
+3709            if not self.LOG_BASE_FIRST:
+3710                args.reverse()
+3711            return exp.Log.from_arg_list(args)
+3712
+3713        return self.expression(
+3714            exp.Ln if self.LOG_DEFAULTS_TO_LN else exp.Log, this=seq_get(args, 0)
+3715        )
+3716
+3717    def _parse_match_against(self) -> exp.Expression:
+3718        expressions = self._parse_csv(self._parse_column)
+3719
+3720        self._match_text_seq(")", "AGAINST", "(")
+3721
+3722        this = self._parse_string()
+3723
+3724        if self._match_text_seq("IN", "NATURAL", "LANGUAGE", "MODE"):
+3725            modifier = "IN NATURAL LANGUAGE MODE"
+3726            if self._match_text_seq("WITH", "QUERY", "EXPANSION"):
+3727                modifier = f"{modifier} WITH QUERY EXPANSION"
+3728        elif self._match_text_seq("IN", "BOOLEAN", "MODE"):
+3729            modifier = "IN BOOLEAN MODE"
+3730        elif self._match_text_seq("WITH", "QUERY", "EXPANSION"):
+3731            modifier = "WITH QUERY EXPANSION"
+3732        else:
+3733            modifier = None
+3734
+3735        return self.expression(
+3736            exp.MatchAgainst, this=this, expressions=expressions, modifier=modifier
+3737        )
+3738
+3739    # https://learn.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql?view=sql-server-ver16
+3740    def _parse_open_json(self) -> exp.Expression:
+3741        this = self._parse_bitwise()
+3742        path = self._match(TokenType.COMMA) and self._parse_string()
+3743
+3744        def _parse_open_json_column_def() -> exp.Expression:
+3745            this = self._parse_field(any_token=True)
+3746            kind = self._parse_types()
+3747            path = self._parse_string()
+3748            as_json = self._match_pair(TokenType.ALIAS, TokenType.JSON)
+3749            return self.expression(
+3750                exp.OpenJSONColumnDef, this=this, kind=kind, path=path, as_json=as_json
+3751            )
 3752
-3753        if self._match(TokenType.IN):
-3754            return self.expression(
-3755                exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0)
-3756            )
+3753        expressions = None
+3754        if self._match_pair(TokenType.R_PAREN, TokenType.WITH):
+3755            self._match_l_paren()
+3756            expressions = self._parse_csv(_parse_open_json_column_def)
 3757
-3758        if haystack_first:
-3759            haystack = seq_get(args, 0)
-3760            needle = seq_get(args, 1)
-3761        else:
-3762            needle = seq_get(args, 0)
-3763            haystack = seq_get(args, 1)
-3764
-3765        this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2))
-3766
-3767        self.validate_expression(this, args)
-3768
-3769        return this
-3770
-3771    def _parse_join_hint(self, func_name: str) -> exp.Expression:
-3772        args = self._parse_csv(self._parse_table)
-3773        return exp.JoinHint(this=func_name.upper(), expressions=args)
+3758        return self.expression(exp.OpenJSON, this=this, path=path, expressions=expressions)
+3759
+3760    def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
+3761        args = self._parse_csv(self._parse_bitwise)
+3762
+3763        if self._match(TokenType.IN):
+3764            return self.expression(
+3765                exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0)
+3766            )
+3767
+3768        if haystack_first:
+3769            haystack = seq_get(args, 0)
+3770            needle = seq_get(args, 1)
+3771        else:
+3772            needle = seq_get(args, 0)
+3773            haystack = seq_get(args, 1)
 3774
-3775    def _parse_substring(self) -> exp.Expression:
-3776        # Postgres supports the form: substring(string [from int] [for int])
-3777        # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6
+3775        this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2))
+3776
+3777        self.validate_expression(this, args)
 3778
-3779        args = self._parse_csv(self._parse_bitwise)
+3779        return this
 3780
-3781        if self._match(TokenType.FROM):
-3782            args.append(self._parse_bitwise())
-3783            if self._match(TokenType.FOR):
-3784                args.append(self._parse_bitwise())
-3785
-3786        this = exp.Substring.from_arg_list(args)
-3787        self.validate_expression(this, args)
+3781    def _parse_join_hint(self, func_name: str) -> exp.Expression:
+3782        args = self._parse_csv(self._parse_table)
+3783        return exp.JoinHint(this=func_name.upper(), expressions=args)
+3784
+3785    def _parse_substring(self) -> exp.Expression:
+3786        # Postgres supports the form: substring(string [from int] [for int])
+3787        # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6
 3788
-3789        return this
+3789        args = self._parse_csv(self._parse_bitwise)
 3790
-3791    def _parse_struct(self) -> exp.Struct:
-3792        return exp.Struct.from_arg_list(self._parse_csv(lambda: self._parse_lambda(alias=True)))
-3793
-3794    def _parse_trim(self) -> exp.Expression:
-3795        # https://www.w3resource.com/sql/character-functions/trim.php
-3796        # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html
-3797
-3798        position = None
-3799        collation = None
+3791        if self._match(TokenType.FROM):
+3792            args.append(self._parse_bitwise())
+3793            if self._match(TokenType.FOR):
+3794                args.append(self._parse_bitwise())
+3795
+3796        this = exp.Substring.from_arg_list(args)
+3797        self.validate_expression(this, args)
+3798
+3799        return this
 3800
-3801        if self._match_texts(self.TRIM_TYPES):
-3802            position = self._prev.text.upper()
-3803
-3804        expression = self._parse_bitwise()
-3805        if self._match_set((TokenType.FROM, TokenType.COMMA)):
-3806            this = self._parse_bitwise()
-3807        else:
-3808            this = expression
-3809            expression = None
+3801    def _parse_trim(self) -> exp.Expression:
+3802        # https://www.w3resource.com/sql/character-functions/trim.php
+3803        # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html
+3804
+3805        position = None
+3806        collation = None
+3807
+3808        if self._match_texts(self.TRIM_TYPES):
+3809            position = self._prev.text.upper()
 3810
-3811        if self._match(TokenType.COLLATE):
-3812            collation = self._parse_bitwise()
-3813
-3814        return self.expression(
-3815            exp.Trim,
-3816            this=this,
-3817            position=position,
-3818            expression=expression,
-3819            collation=collation,
-3820        )
-3821
-3822    def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-3823        return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window)
-3824
-3825    def _parse_named_window(self) -> t.Optional[exp.Expression]:
-3826        return self._parse_window(self._parse_id_var(), alias=True)
-3827
-3828    def _parse_respect_or_ignore_nulls(
-3829        self, this: t.Optional[exp.Expression]
-3830    ) -> t.Optional[exp.Expression]:
-3831        if self._match_text_seq("IGNORE", "NULLS"):
-3832            return self.expression(exp.IgnoreNulls, this=this)
-3833        if self._match_text_seq("RESPECT", "NULLS"):
-3834            return self.expression(exp.RespectNulls, this=this)
-3835        return this
-3836
-3837    def _parse_window(
-3838        self, this: t.Optional[exp.Expression], alias: bool = False
-3839    ) -> t.Optional[exp.Expression]:
-3840        if self._match_pair(TokenType.FILTER, TokenType.L_PAREN):
-3841            this = self.expression(exp.Filter, this=this, expression=self._parse_where())
-3842            self._match_r_paren()
+3811        expression = self._parse_bitwise()
+3812        if self._match_set((TokenType.FROM, TokenType.COMMA)):
+3813            this = self._parse_bitwise()
+3814        else:
+3815            this = expression
+3816            expression = None
+3817
+3818        if self._match(TokenType.COLLATE):
+3819            collation = self._parse_bitwise()
+3820
+3821        return self.expression(
+3822            exp.Trim,
+3823            this=this,
+3824            position=position,
+3825            expression=expression,
+3826            collation=collation,
+3827        )
+3828
+3829    def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+3830        return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window)
+3831
+3832    def _parse_named_window(self) -> t.Optional[exp.Expression]:
+3833        return self._parse_window(self._parse_id_var(), alias=True)
+3834
+3835    def _parse_respect_or_ignore_nulls(
+3836        self, this: t.Optional[exp.Expression]
+3837    ) -> t.Optional[exp.Expression]:
+3838        if self._match_text_seq("IGNORE", "NULLS"):
+3839            return self.expression(exp.IgnoreNulls, this=this)
+3840        if self._match_text_seq("RESPECT", "NULLS"):
+3841            return self.expression(exp.RespectNulls, this=this)
+3842        return this
 3843
-3844        # T-SQL allows the OVER (...) syntax after WITHIN GROUP.
-3845        # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16
-3846        if self._match_text_seq("WITHIN", "GROUP"):
-3847            order = self._parse_wrapped(self._parse_order)
-3848            this = self.expression(exp.WithinGroup, this=this, expression=order)
-3849
-3850        # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER
-3851        # Some dialects choose to implement and some do not.
-3852        # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html
-3853
-3854        # There is some code above in _parse_lambda that handles
-3855        #   SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ...
+3844    def _parse_window(
+3845        self, this: t.Optional[exp.Expression], alias: bool = False
+3846    ) -> t.Optional[exp.Expression]:
+3847        if self._match_pair(TokenType.FILTER, TokenType.L_PAREN):
+3848            this = self.expression(exp.Filter, this=this, expression=self._parse_where())
+3849            self._match_r_paren()
+3850
+3851        # T-SQL allows the OVER (...) syntax after WITHIN GROUP.
+3852        # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16
+3853        if self._match_text_seq("WITHIN", "GROUP"):
+3854            order = self._parse_wrapped(self._parse_order)
+3855            this = self.expression(exp.WithinGroup, this=this, expression=order)
 3856
-3857        # The below changes handle
-3858        #   SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ...
-3859
-3860        # Oracle allows both formats
-3861        #   (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html)
-3862        #   and Snowflake chose to do the same for familiarity
-3863        #   https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes
-3864        this = self._parse_respect_or_ignore_nulls(this)
-3865
-3866        # bigquery select from window x AS (partition by ...)
-3867        if alias:
-3868            over = None
-3869            self._match(TokenType.ALIAS)
-3870        elif not self._match_set(self.WINDOW_BEFORE_PAREN_TOKENS):
-3871            return this
-3872        else:
-3873            over = self._prev.text.upper()
-3874
-3875        if not self._match(TokenType.L_PAREN):
-3876            return self.expression(
-3877                exp.Window, this=this, alias=self._parse_id_var(False), over=over
-3878            )
-3879
-3880        window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS)
+3857        # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER
+3858        # Some dialects choose to implement and some do not.
+3859        # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html
+3860
+3861        # There is some code above in _parse_lambda that handles
+3862        #   SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ...
+3863
+3864        # The below changes handle
+3865        #   SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ...
+3866
+3867        # Oracle allows both formats
+3868        #   (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html)
+3869        #   and Snowflake chose to do the same for familiarity
+3870        #   https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes
+3871        this = self._parse_respect_or_ignore_nulls(this)
+3872
+3873        # bigquery select from window x AS (partition by ...)
+3874        if alias:
+3875            over = None
+3876            self._match(TokenType.ALIAS)
+3877        elif not self._match_set(self.WINDOW_BEFORE_PAREN_TOKENS):
+3878            return this
+3879        else:
+3880            over = self._prev.text.upper()
 3881
-3882        first = self._match(TokenType.FIRST)
-3883        if self._match_text_seq("LAST"):
-3884            first = False
-3885
-3886        partition = self._parse_partition_by()
-3887        order = self._parse_order()
-3888        kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text
-3889
-3890        if kind:
-3891            self._match(TokenType.BETWEEN)
-3892            start = self._parse_window_spec()
-3893            self._match(TokenType.AND)
-3894            end = self._parse_window_spec()
-3895
-3896            spec = self.expression(
-3897                exp.WindowSpec,
-3898                kind=kind,
-3899                start=start["value"],
-3900                start_side=start["side"],
-3901                end=end["value"],
-3902                end_side=end["side"],
-3903            )
-3904        else:
-3905            spec = None
-3906
-3907        self._match_r_paren()
-3908
-3909        return self.expression(
-3910            exp.Window,
-3911            this=this,
-3912            partition_by=partition,
-3913            order=order,
-3914            spec=spec,
-3915            alias=window_alias,
-3916            over=over,
-3917            first=first,
-3918        )
-3919
-3920    def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]:
-3921        self._match(TokenType.BETWEEN)
-3922
-3923        return {
-3924            "value": (
-3925                (self._match_text_seq("UNBOUNDED") and "UNBOUNDED")
-3926                or (self._match_text_seq("CURRENT", "ROW") and "CURRENT ROW")
-3927                or self._parse_bitwise()
-3928            ),
-3929            "side": self._match_texts(("PRECEDING", "FOLLOWING")) and self._prev.text,
-3930        }
-3931
-3932    def _parse_alias(
-3933        self, this: t.Optional[exp.Expression], explicit: bool = False
-3934    ) -> t.Optional[exp.Expression]:
-3935        any_token = self._match(TokenType.ALIAS)
-3936
-3937        if explicit and not any_token:
-3938            return this
-3939
-3940        if self._match(TokenType.L_PAREN):
-3941            aliases = self.expression(
-3942                exp.Aliases,
-3943                this=this,
-3944                expressions=self._parse_csv(lambda: self._parse_id_var(any_token)),
-3945            )
-3946            self._match_r_paren(aliases)
-3947            return aliases
-3948
-3949        alias = self._parse_id_var(any_token)
-3950
-3951        if alias:
-3952            return self.expression(exp.Alias, this=this, alias=alias)
-3953
-3954        return this
+3882        if not self._match(TokenType.L_PAREN):
+3883            return self.expression(
+3884                exp.Window, this=this, alias=self._parse_id_var(False), over=over
+3885            )
+3886
+3887        window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS)
+3888
+3889        first = self._match(TokenType.FIRST)
+3890        if self._match_text_seq("LAST"):
+3891            first = False
+3892
+3893        partition = self._parse_partition_by()
+3894        order = self._parse_order()
+3895        kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text
+3896
+3897        if kind:
+3898            self._match(TokenType.BETWEEN)
+3899            start = self._parse_window_spec()
+3900            self._match(TokenType.AND)
+3901            end = self._parse_window_spec()
+3902
+3903            spec = self.expression(
+3904                exp.WindowSpec,
+3905                kind=kind,
+3906                start=start["value"],
+3907                start_side=start["side"],
+3908                end=end["value"],
+3909                end_side=end["side"],
+3910            )
+3911        else:
+3912            spec = None
+3913
+3914        self._match_r_paren()
+3915
+3916        return self.expression(
+3917            exp.Window,
+3918            this=this,
+3919            partition_by=partition,
+3920            order=order,
+3921            spec=spec,
+3922            alias=window_alias,
+3923            over=over,
+3924            first=first,
+3925        )
+3926
+3927    def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]:
+3928        self._match(TokenType.BETWEEN)
+3929
+3930        return {
+3931            "value": (
+3932                (self._match_text_seq("UNBOUNDED") and "UNBOUNDED")
+3933                or (self._match_text_seq("CURRENT", "ROW") and "CURRENT ROW")
+3934                or self._parse_bitwise()
+3935            ),
+3936            "side": self._match_texts(("PRECEDING", "FOLLOWING")) and self._prev.text,
+3937        }
+3938
+3939    def _parse_alias(
+3940        self, this: t.Optional[exp.Expression], explicit: bool = False
+3941    ) -> t.Optional[exp.Expression]:
+3942        any_token = self._match(TokenType.ALIAS)
+3943
+3944        if explicit and not any_token:
+3945            return this
+3946
+3947        if self._match(TokenType.L_PAREN):
+3948            aliases = self.expression(
+3949                exp.Aliases,
+3950                this=this,
+3951                expressions=self._parse_csv(lambda: self._parse_id_var(any_token)),
+3952            )
+3953            self._match_r_paren(aliases)
+3954            return aliases
 3955
-3956    def _parse_id_var(
-3957        self,
-3958        any_token: bool = True,
-3959        tokens: t.Optional[t.Collection[TokenType]] = None,
-3960        prefix_tokens: t.Optional[t.Collection[TokenType]] = None,
-3961    ) -> t.Optional[exp.Expression]:
-3962        identifier = self._parse_identifier()
-3963
-3964        if identifier:
-3965            return identifier
-3966
-3967        prefix = ""
-3968
-3969        if prefix_tokens:
-3970            while self._match_set(prefix_tokens):
-3971                prefix += self._prev.text
-3972
-3973        if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS):
-3974            quoted = self._prev.token_type == TokenType.STRING
-3975            return exp.Identifier(this=prefix + self._prev.text, quoted=quoted)
-3976
-3977        return None
-3978
-3979    def _parse_string(self) -> t.Optional[exp.Expression]:
-3980        if self._match(TokenType.STRING):
-3981            return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev)
-3982        return self._parse_placeholder()
+3956        alias = self._parse_id_var(any_token)
+3957
+3958        if alias:
+3959            return self.expression(exp.Alias, this=this, alias=alias)
+3960
+3961        return this
+3962
+3963    def _parse_id_var(
+3964        self,
+3965        any_token: bool = True,
+3966        tokens: t.Optional[t.Collection[TokenType]] = None,
+3967        prefix_tokens: t.Optional[t.Collection[TokenType]] = None,
+3968    ) -> t.Optional[exp.Expression]:
+3969        identifier = self._parse_identifier()
+3970
+3971        if identifier:
+3972            return identifier
+3973
+3974        prefix = ""
+3975
+3976        if prefix_tokens:
+3977            while self._match_set(prefix_tokens):
+3978                prefix += self._prev.text
+3979
+3980        if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS):
+3981            quoted = self._prev.token_type == TokenType.STRING
+3982            return exp.Identifier(this=prefix + self._prev.text, quoted=quoted)
 3983
-3984    def _parse_string_as_identifier(self) -> t.Optional[exp.Expression]:
-3985        return exp.to_identifier(self._match(TokenType.STRING) and self._prev.text, quoted=True)
-3986
-3987    def _parse_number(self) -> t.Optional[exp.Expression]:
-3988        if self._match(TokenType.NUMBER):
-3989            return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev)
-3990        return self._parse_placeholder()
-3991
-3992    def _parse_identifier(self) -> t.Optional[exp.Expression]:
-3993        if self._match(TokenType.IDENTIFIER):
-3994            return self.expression(exp.Identifier, this=self._prev.text, quoted=True)
-3995        return self._parse_placeholder()
-3996
-3997    def _parse_var(
-3998        self, any_token: bool = False, tokens: t.Optional[t.Collection[TokenType]] = None
-3999    ) -> t.Optional[exp.Expression]:
-4000        if (
-4001            (any_token and self._advance_any())
-4002            or self._match(TokenType.VAR)
-4003            or (self._match_set(tokens) if tokens else False)
-4004        ):
-4005            return self.expression(exp.Var, this=self._prev.text)
-4006        return self._parse_placeholder()
-4007
-4008    def _advance_any(self) -> t.Optional[Token]:
-4009        if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS:
-4010            self._advance()
-4011            return self._prev
-4012        return None
-4013
-4014    def _parse_var_or_string(self) -> t.Optional[exp.Expression]:
-4015        return self._parse_var() or self._parse_string()
-4016
-4017    def _parse_null(self) -> t.Optional[exp.Expression]:
-4018        if self._match(TokenType.NULL):
-4019            return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev)
-4020        return None
-4021
-4022    def _parse_boolean(self) -> t.Optional[exp.Expression]:
-4023        if self._match(TokenType.TRUE):
-4024            return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev)
-4025        if self._match(TokenType.FALSE):
-4026            return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev)
+3984        return None
+3985
+3986    def _parse_string(self) -> t.Optional[exp.Expression]:
+3987        if self._match(TokenType.STRING):
+3988            return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev)
+3989        return self._parse_placeholder()
+3990
+3991    def _parse_string_as_identifier(self) -> t.Optional[exp.Expression]:
+3992        return exp.to_identifier(self._match(TokenType.STRING) and self._prev.text, quoted=True)
+3993
+3994    def _parse_number(self) -> t.Optional[exp.Expression]:
+3995        if self._match(TokenType.NUMBER):
+3996            return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev)
+3997        return self._parse_placeholder()
+3998
+3999    def _parse_identifier(self) -> t.Optional[exp.Expression]:
+4000        if self._match(TokenType.IDENTIFIER):
+4001            return self.expression(exp.Identifier, this=self._prev.text, quoted=True)
+4002        return self._parse_placeholder()
+4003
+4004    def _parse_var(
+4005        self, any_token: bool = False, tokens: t.Optional[t.Collection[TokenType]] = None
+4006    ) -> t.Optional[exp.Expression]:
+4007        if (
+4008            (any_token and self._advance_any())
+4009            or self._match(TokenType.VAR)
+4010            or (self._match_set(tokens) if tokens else False)
+4011        ):
+4012            return self.expression(exp.Var, this=self._prev.text)
+4013        return self._parse_placeholder()
+4014
+4015    def _advance_any(self) -> t.Optional[Token]:
+4016        if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS:
+4017            self._advance()
+4018            return self._prev
+4019        return None
+4020
+4021    def _parse_var_or_string(self) -> t.Optional[exp.Expression]:
+4022        return self._parse_var() or self._parse_string()
+4023
+4024    def _parse_null(self) -> t.Optional[exp.Expression]:
+4025        if self._match(TokenType.NULL):
+4026            return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev)
 4027        return None
 4028
-4029    def _parse_star(self) -> t.Optional[exp.Expression]:
-4030        if self._match(TokenType.STAR):
-4031            return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev)
-4032        return None
-4033
-4034    def _parse_parameter(self) -> exp.Expression:
-4035        wrapped = self._match(TokenType.L_BRACE)
-4036        this = self._parse_var() or self._parse_identifier() or self._parse_primary()
-4037        self._match(TokenType.R_BRACE)
-4038        return self.expression(exp.Parameter, this=this, wrapped=wrapped)
-4039
-4040    def _parse_placeholder(self) -> t.Optional[exp.Expression]:
-4041        if self._match_set(self.PLACEHOLDER_PARSERS):
-4042            placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self)
-4043            if placeholder:
-4044                return placeholder
-4045            self._advance(-1)
-4046        return None
-4047
-4048    def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-4049        if not self._match(TokenType.EXCEPT):
-4050            return None
-4051        if self._match(TokenType.L_PAREN, advance=False):
-4052            return self._parse_wrapped_csv(self._parse_column)
-4053        return self._parse_csv(self._parse_column)
+4029    def _parse_boolean(self) -> t.Optional[exp.Expression]:
+4030        if self._match(TokenType.TRUE):
+4031            return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev)
+4032        if self._match(TokenType.FALSE):
+4033            return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev)
+4034        return None
+4035
+4036    def _parse_star(self) -> t.Optional[exp.Expression]:
+4037        if self._match(TokenType.STAR):
+4038            return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev)
+4039        return None
+4040
+4041    def _parse_parameter(self) -> exp.Expression:
+4042        wrapped = self._match(TokenType.L_BRACE)
+4043        this = self._parse_var() or self._parse_identifier() or self._parse_primary()
+4044        self._match(TokenType.R_BRACE)
+4045        return self.expression(exp.Parameter, this=this, wrapped=wrapped)
+4046
+4047    def _parse_placeholder(self) -> t.Optional[exp.Expression]:
+4048        if self._match_set(self.PLACEHOLDER_PARSERS):
+4049            placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self)
+4050            if placeholder:
+4051                return placeholder
+4052            self._advance(-1)
+4053        return None
 4054
-4055    def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-4056        if not self._match(TokenType.REPLACE):
+4055    def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+4056        if not self._match(TokenType.EXCEPT):
 4057            return None
 4058        if self._match(TokenType.L_PAREN, advance=False):
-4059            return self._parse_wrapped_csv(self._parse_expression)
-4060        return self._parse_csv(self._parse_expression)
+4059            return self._parse_wrapped_csv(self._parse_column)
+4060        return self._parse_csv(self._parse_column)
 4061
-4062    def _parse_csv(
-4063        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA
-4064    ) -> t.List[t.Optional[exp.Expression]]:
-4065        parse_result = parse_method()
-4066        items = [parse_result] if parse_result is not None else []
-4067
-4068        while self._match(sep):
-4069            self._add_comments(parse_result)
-4070            parse_result = parse_method()
-4071            if parse_result is not None:
-4072                items.append(parse_result)
-4073
-4074        return items
-4075
-4076    def _parse_tokens(
-4077        self, parse_method: t.Callable, expressions: t.Dict
-4078    ) -> t.Optional[exp.Expression]:
-4079        this = parse_method()
+4062    def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+4063        if not self._match(TokenType.REPLACE):
+4064            return None
+4065        if self._match(TokenType.L_PAREN, advance=False):
+4066            return self._parse_wrapped_csv(self._parse_expression)
+4067        return self._parse_csv(self._parse_expression)
+4068
+4069    def _parse_csv(
+4070        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA
+4071    ) -> t.List[t.Optional[exp.Expression]]:
+4072        parse_result = parse_method()
+4073        items = [parse_result] if parse_result is not None else []
+4074
+4075        while self._match(sep):
+4076            self._add_comments(parse_result)
+4077            parse_result = parse_method()
+4078            if parse_result is not None:
+4079                items.append(parse_result)
 4080
-4081        while self._match_set(expressions):
-4082            this = self.expression(
-4083                expressions[self._prev.token_type],
-4084                this=this,
-4085                comments=self._prev_comments,
-4086                expression=parse_method(),
-4087            )
-4088
-4089        return this
-4090
-4091    def _parse_wrapped_id_vars(self, optional: bool = False) -> t.List[t.Optional[exp.Expression]]:
-4092        return self._parse_wrapped_csv(self._parse_id_var, optional=optional)
-4093
-4094    def _parse_wrapped_csv(
-4095        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA, optional: bool = False
-4096    ) -> t.List[t.Optional[exp.Expression]]:
-4097        return self._parse_wrapped(
-4098            lambda: self._parse_csv(parse_method, sep=sep), optional=optional
-4099        )
+4081        return items
+4082
+4083    def _parse_tokens(
+4084        self, parse_method: t.Callable, expressions: t.Dict
+4085    ) -> t.Optional[exp.Expression]:
+4086        this = parse_method()
+4087
+4088        while self._match_set(expressions):
+4089            this = self.expression(
+4090                expressions[self._prev.token_type],
+4091                this=this,
+4092                comments=self._prev_comments,
+4093                expression=parse_method(),
+4094            )
+4095
+4096        return this
+4097
+4098    def _parse_wrapped_id_vars(self, optional: bool = False) -> t.List[t.Optional[exp.Expression]]:
+4099        return self._parse_wrapped_csv(self._parse_id_var, optional=optional)
 4100
-4101    def _parse_wrapped(self, parse_method: t.Callable, optional: bool = False) -> t.Any:
-4102        wrapped = self._match(TokenType.L_PAREN)
-4103        if not wrapped and not optional:
-4104            self.raise_error("Expecting (")
-4105        parse_result = parse_method()
-4106        if wrapped:
-4107            self._match_r_paren()
-4108        return parse_result
-4109
-4110    def _parse_select_or_expression(self, alias: bool = False) -> t.Optional[exp.Expression]:
-4111        return self._parse_select() or self._parse_set_operations(
-4112            self._parse_expression() if alias else self._parse_conjunction()
-4113        )
-4114
-4115    def _parse_ddl_select(self) -> t.Optional[exp.Expression]:
-4116        return self._parse_set_operations(
-4117            self._parse_select(nested=True, parse_subquery_alias=False)
-4118        )
-4119
-4120    def _parse_transaction(self) -> exp.Expression:
-4121        this = None
-4122        if self._match_texts(self.TRANSACTION_KIND):
-4123            this = self._prev.text
-4124
-4125        self._match_texts({"TRANSACTION", "WORK"})
+4101    def _parse_wrapped_csv(
+4102        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA, optional: bool = False
+4103    ) -> t.List[t.Optional[exp.Expression]]:
+4104        return self._parse_wrapped(
+4105            lambda: self._parse_csv(parse_method, sep=sep), optional=optional
+4106        )
+4107
+4108    def _parse_wrapped(self, parse_method: t.Callable, optional: bool = False) -> t.Any:
+4109        wrapped = self._match(TokenType.L_PAREN)
+4110        if not wrapped and not optional:
+4111            self.raise_error("Expecting (")
+4112        parse_result = parse_method()
+4113        if wrapped:
+4114            self._match_r_paren()
+4115        return parse_result
+4116
+4117    def _parse_select_or_expression(self, alias: bool = False) -> t.Optional[exp.Expression]:
+4118        return self._parse_select() or self._parse_set_operations(
+4119            self._parse_expression() if alias else self._parse_conjunction()
+4120        )
+4121
+4122    def _parse_ddl_select(self) -> t.Optional[exp.Expression]:
+4123        return self._parse_set_operations(
+4124            self._parse_select(nested=True, parse_subquery_alias=False)
+4125        )
 4126
-4127        modes = []
-4128        while True:
-4129            mode = []
-4130            while self._match(TokenType.VAR):
-4131                mode.append(self._prev.text)
-4132
-4133            if mode:
-4134                modes.append(" ".join(mode))
-4135            if not self._match(TokenType.COMMA):
-4136                break
-4137
-4138        return self.expression(exp.Transaction, this=this, modes=modes)
+4127    def _parse_transaction(self) -> exp.Expression:
+4128        this = None
+4129        if self._match_texts(self.TRANSACTION_KIND):
+4130            this = self._prev.text
+4131
+4132        self._match_texts({"TRANSACTION", "WORK"})
+4133
+4134        modes = []
+4135        while True:
+4136            mode = []
+4137            while self._match(TokenType.VAR):
+4138                mode.append(self._prev.text)
 4139
-4140    def _parse_commit_or_rollback(self) -> exp.Expression:
-4141        chain = None
-4142        savepoint = None
-4143        is_rollback = self._prev.token_type == TokenType.ROLLBACK
+4140            if mode:
+4141                modes.append(" ".join(mode))
+4142            if not self._match(TokenType.COMMA):
+4143                break
 4144
-4145        self._match_texts({"TRANSACTION", "WORK"})
+4145        return self.expression(exp.Transaction, this=this, modes=modes)
 4146
-4147        if self._match_text_seq("TO"):
-4148            self._match_text_seq("SAVEPOINT")
-4149            savepoint = self._parse_id_var()
-4150
-4151        if self._match(TokenType.AND):
-4152            chain = not self._match_text_seq("NO")
-4153            self._match_text_seq("CHAIN")
-4154
-4155        if is_rollback:
-4156            return self.expression(exp.Rollback, savepoint=savepoint)
-4157        return self.expression(exp.Commit, chain=chain)
-4158
-4159    def _parse_add_column(self) -> t.Optional[exp.Expression]:
-4160        if not self._match_text_seq("ADD"):
-4161            return None
-4162
-4163        self._match(TokenType.COLUMN)
-4164        exists_column = self._parse_exists(not_=True)
-4165        expression = self._parse_column_def(self._parse_field(any_token=True))
-4166
-4167        if expression:
-4168            expression.set("exists", exists_column)
+4147    def _parse_commit_or_rollback(self) -> exp.Expression:
+4148        chain = None
+4149        savepoint = None
+4150        is_rollback = self._prev.token_type == TokenType.ROLLBACK
+4151
+4152        self._match_texts({"TRANSACTION", "WORK"})
+4153
+4154        if self._match_text_seq("TO"):
+4155            self._match_text_seq("SAVEPOINT")
+4156            savepoint = self._parse_id_var()
+4157
+4158        if self._match(TokenType.AND):
+4159            chain = not self._match_text_seq("NO")
+4160            self._match_text_seq("CHAIN")
+4161
+4162        if is_rollback:
+4163            return self.expression(exp.Rollback, savepoint=savepoint)
+4164        return self.expression(exp.Commit, chain=chain)
+4165
+4166    def _parse_add_column(self) -> t.Optional[exp.Expression]:
+4167        if not self._match_text_seq("ADD"):
+4168            return None
 4169
-4170            # https://docs.databricks.com/delta/update-schema.html#explicitly-update-schema-to-add-columns
-4171            if self._match_texts(("FIRST", "AFTER")):
-4172                position = self._prev.text
-4173                column_position = self.expression(
-4174                    exp.ColumnPosition, this=self._parse_column(), position=position
-4175                )
-4176                expression.set("position", column_position)
-4177
-4178        return expression
-4179
-4180    def _parse_drop_column(self) -> t.Optional[exp.Expression]:
-4181        drop = self._match(TokenType.DROP) and self._parse_drop()
-4182        if drop and not isinstance(drop, exp.Command):
-4183            drop.set("kind", drop.args.get("kind", "COLUMN"))
-4184        return drop
-4185
-4186    # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html
-4187    def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression:
-4188        return self.expression(
-4189            exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists
-4190        )
-4191
-4192    def _parse_add_constraint(self) -> t.Optional[exp.Expression]:
-4193        this = None
-4194        kind = self._prev.token_type
-4195
-4196        if kind == TokenType.CONSTRAINT:
-4197            this = self._parse_id_var()
+4170        self._match(TokenType.COLUMN)
+4171        exists_column = self._parse_exists(not_=True)
+4172        expression = self._parse_column_def(self._parse_field(any_token=True))
+4173
+4174        if expression:
+4175            expression.set("exists", exists_column)
+4176
+4177            # https://docs.databricks.com/delta/update-schema.html#explicitly-update-schema-to-add-columns
+4178            if self._match_texts(("FIRST", "AFTER")):
+4179                position = self._prev.text
+4180                column_position = self.expression(
+4181                    exp.ColumnPosition, this=self._parse_column(), position=position
+4182                )
+4183                expression.set("position", column_position)
+4184
+4185        return expression
+4186
+4187    def _parse_drop_column(self) -> t.Optional[exp.Expression]:
+4188        drop = self._match(TokenType.DROP) and self._parse_drop()
+4189        if drop and not isinstance(drop, exp.Command):
+4190            drop.set("kind", drop.args.get("kind", "COLUMN"))
+4191        return drop
+4192
+4193    # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html
+4194    def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression:
+4195        return self.expression(
+4196            exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists
+4197        )
 4198
-4199            if self._match_text_seq("CHECK"):
-4200                expression = self._parse_wrapped(self._parse_conjunction)
-4201                enforced = self._match_text_seq("ENFORCED")
+4199    def _parse_add_constraint(self) -> t.Optional[exp.Expression]:
+4200        this = None
+4201        kind = self._prev.token_type
 4202
-4203                return self.expression(
-4204                    exp.AddConstraint, this=this, expression=expression, enforced=enforced
-4205                )
-4206
-4207        if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY):
-4208            expression = self._parse_foreign_key()
-4209        elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY):
-4210            expression = self._parse_primary_key()
-4211        else:
-4212            expression = None
+4203        if kind == TokenType.CONSTRAINT:
+4204            this = self._parse_id_var()
+4205
+4206            if self._match_text_seq("CHECK"):
+4207                expression = self._parse_wrapped(self._parse_conjunction)
+4208                enforced = self._match_text_seq("ENFORCED")
+4209
+4210                return self.expression(
+4211                    exp.AddConstraint, this=this, expression=expression, enforced=enforced
+4212                )
 4213
-4214        return self.expression(exp.AddConstraint, this=this, expression=expression)
-4215
-4216    def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]:
-4217        index = self._index - 1
-4218
-4219        if self._match_set(self.ADD_CONSTRAINT_TOKENS):
-4220            return self._parse_csv(self._parse_add_constraint)
-4221
-4222        self._retreat(index)
-4223        return self._parse_csv(self._parse_add_column)
-4224
-4225    def _parse_alter_table_alter(self) -> exp.Expression:
-4226        self._match(TokenType.COLUMN)
-4227        column = self._parse_field(any_token=True)
+4214        if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY):
+4215            expression = self._parse_foreign_key()
+4216        elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY):
+4217            expression = self._parse_primary_key()
+4218        else:
+4219            expression = None
+4220
+4221        return self.expression(exp.AddConstraint, this=this, expression=expression)
+4222
+4223    def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]:
+4224        index = self._index - 1
+4225
+4226        if self._match_set(self.ADD_CONSTRAINT_TOKENS):
+4227            return self._parse_csv(self._parse_add_constraint)
 4228
-4229        if self._match_pair(TokenType.DROP, TokenType.DEFAULT):
-4230            return self.expression(exp.AlterColumn, this=column, drop=True)
-4231        if self._match_pair(TokenType.SET, TokenType.DEFAULT):
-4232            return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction())
-4233
-4234        self._match_text_seq("SET", "DATA")
-4235        return self.expression(
-4236            exp.AlterColumn,
-4237            this=column,
-4238            dtype=self._match_text_seq("TYPE") and self._parse_types(),
-4239            collate=self._match(TokenType.COLLATE) and self._parse_term(),
-4240            using=self._match(TokenType.USING) and self._parse_conjunction(),
-4241        )
-4242
-4243    def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]:
-4244        index = self._index - 1
-4245
-4246        partition_exists = self._parse_exists()
-4247        if self._match(TokenType.PARTITION, advance=False):
-4248            return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists))
+4229        self._retreat(index)
+4230        return self._parse_csv(self._parse_add_column)
+4231
+4232    def _parse_alter_table_alter(self) -> exp.Expression:
+4233        self._match(TokenType.COLUMN)
+4234        column = self._parse_field(any_token=True)
+4235
+4236        if self._match_pair(TokenType.DROP, TokenType.DEFAULT):
+4237            return self.expression(exp.AlterColumn, this=column, drop=True)
+4238        if self._match_pair(TokenType.SET, TokenType.DEFAULT):
+4239            return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction())
+4240
+4241        self._match_text_seq("SET", "DATA")
+4242        return self.expression(
+4243            exp.AlterColumn,
+4244            this=column,
+4245            dtype=self._match_text_seq("TYPE") and self._parse_types(),
+4246            collate=self._match(TokenType.COLLATE) and self._parse_term(),
+4247            using=self._match(TokenType.USING) and self._parse_conjunction(),
+4248        )
 4249
-4250        self._retreat(index)
-4251        return self._parse_csv(self._parse_drop_column)
+4250    def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]:
+4251        index = self._index - 1
 4252
-4253    def _parse_alter_table_rename(self) -> exp.Expression:
-4254        self._match_text_seq("TO")
-4255        return self.expression(exp.RenameTable, this=self._parse_table(schema=True))
+4253        partition_exists = self._parse_exists()
+4254        if self._match(TokenType.PARTITION, advance=False):
+4255            return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists))
 4256
-4257    def _parse_alter(self) -> t.Optional[exp.Expression]:
-4258        start = self._prev
+4257        self._retreat(index)
+4258        return self._parse_csv(self._parse_drop_column)
 4259
-4260        if not self._match(TokenType.TABLE):
-4261            return self._parse_as_command(start)
-4262
-4263        exists = self._parse_exists()
-4264        this = self._parse_table(schema=True)
-4265
-4266        if self._next:
-4267            self._advance()
-4268        parser = self.ALTER_PARSERS.get(self._prev.text.upper()) if self._prev else None
+4260    def _parse_alter_table_rename(self) -> exp.Expression:
+4261        self._match_text_seq("TO")
+4262        return self.expression(exp.RenameTable, this=self._parse_table(schema=True))
+4263
+4264    def _parse_alter(self) -> t.Optional[exp.Expression]:
+4265        start = self._prev
+4266
+4267        if not self._match(TokenType.TABLE):
+4268            return self._parse_as_command(start)
 4269
-4270        if parser:
-4271            actions = ensure_list(parser(self))
+4270        exists = self._parse_exists()
+4271        this = self._parse_table(schema=True)
 4272
-4273            if not self._curr:
-4274                return self.expression(
-4275                    exp.AlterTable,
-4276                    this=this,
-4277                    exists=exists,
-4278                    actions=actions,
-4279                )
-4280        return self._parse_as_command(start)
-4281
-4282    def _parse_merge(self) -> exp.Expression:
-4283        self._match(TokenType.INTO)
-4284        target = self._parse_table()
-4285
-4286        self._match(TokenType.USING)
-4287        using = self._parse_table()
+4273        if self._next:
+4274            self._advance()
+4275        parser = self.ALTER_PARSERS.get(self._prev.text.upper()) if self._prev else None
+4276
+4277        if parser:
+4278            actions = ensure_list(parser(self))
+4279
+4280            if not self._curr:
+4281                return self.expression(
+4282                    exp.AlterTable,
+4283                    this=this,
+4284                    exists=exists,
+4285                    actions=actions,
+4286                )
+4287        return self._parse_as_command(start)
 4288
-4289        self._match(TokenType.ON)
-4290        on = self._parse_conjunction()
-4291
-4292        whens = []
-4293        while self._match(TokenType.WHEN):
-4294            matched = not self._match(TokenType.NOT)
-4295            self._match_text_seq("MATCHED")
-4296            source = (
-4297                False
-4298                if self._match_text_seq("BY", "TARGET")
-4299                else self._match_text_seq("BY", "SOURCE")
-4300            )
-4301            condition = self._parse_conjunction() if self._match(TokenType.AND) else None
-4302
-4303            self._match(TokenType.THEN)
-4304
-4305            if self._match(TokenType.INSERT):
-4306                _this = self._parse_star()
-4307                if _this:
-4308                    then: t.Optional[exp.Expression] = self.expression(exp.Insert, this=_this)
-4309                else:
-4310                    then = self.expression(
-4311                        exp.Insert,
-4312                        this=self._parse_value(),
-4313                        expression=self._match(TokenType.VALUES) and self._parse_value(),
-4314                    )
-4315            elif self._match(TokenType.UPDATE):
-4316                expressions = self._parse_star()
-4317                if expressions:
-4318                    then = self.expression(exp.Update, expressions=expressions)
-4319                else:
-4320                    then = self.expression(
-4321                        exp.Update,
-4322                        expressions=self._match(TokenType.SET)
-4323                        and self._parse_csv(self._parse_equality),
-4324                    )
-4325            elif self._match(TokenType.DELETE):
-4326                then = self.expression(exp.Var, this=self._prev.text)
-4327            else:
-4328                then = None
-4329
-4330            whens.append(
-4331                self.expression(
-4332                    exp.When,
-4333                    matched=matched,
-4334                    source=source,
-4335                    condition=condition,
-4336                    then=then,
-4337                )
-4338            )
-4339
-4340        return self.expression(
-4341            exp.Merge,
-4342            this=target,
-4343            using=using,
-4344            on=on,
-4345            expressions=whens,
-4346        )
-4347
-4348    def _parse_show(self) -> t.Optional[exp.Expression]:
-4349        parser = self._find_parser(self.SHOW_PARSERS, self._show_trie)  # type: ignore
-4350        if parser:
-4351            return parser(self)
-4352        self._advance()
-4353        return self.expression(exp.Show, this=self._prev.text.upper())
+4289    def _parse_merge(self) -> exp.Expression:
+4290        self._match(TokenType.INTO)
+4291        target = self._parse_table()
+4292
+4293        self._match(TokenType.USING)
+4294        using = self._parse_table()
+4295
+4296        self._match(TokenType.ON)
+4297        on = self._parse_conjunction()
+4298
+4299        whens = []
+4300        while self._match(TokenType.WHEN):
+4301            matched = not self._match(TokenType.NOT)
+4302            self._match_text_seq("MATCHED")
+4303            source = (
+4304                False
+4305                if self._match_text_seq("BY", "TARGET")
+4306                else self._match_text_seq("BY", "SOURCE")
+4307            )
+4308            condition = self._parse_conjunction() if self._match(TokenType.AND) else None
+4309
+4310            self._match(TokenType.THEN)
+4311
+4312            if self._match(TokenType.INSERT):
+4313                _this = self._parse_star()
+4314                if _this:
+4315                    then: t.Optional[exp.Expression] = self.expression(exp.Insert, this=_this)
+4316                else:
+4317                    then = self.expression(
+4318                        exp.Insert,
+4319                        this=self._parse_value(),
+4320                        expression=self._match(TokenType.VALUES) and self._parse_value(),
+4321                    )
+4322            elif self._match(TokenType.UPDATE):
+4323                expressions = self._parse_star()
+4324                if expressions:
+4325                    then = self.expression(exp.Update, expressions=expressions)
+4326                else:
+4327                    then = self.expression(
+4328                        exp.Update,
+4329                        expressions=self._match(TokenType.SET)
+4330                        and self._parse_csv(self._parse_equality),
+4331                    )
+4332            elif self._match(TokenType.DELETE):
+4333                then = self.expression(exp.Var, this=self._prev.text)
+4334            else:
+4335                then = None
+4336
+4337            whens.append(
+4338                self.expression(
+4339                    exp.When,
+4340                    matched=matched,
+4341                    source=source,
+4342                    condition=condition,
+4343                    then=then,
+4344                )
+4345            )
+4346
+4347        return self.expression(
+4348            exp.Merge,
+4349            this=target,
+4350            using=using,
+4351            on=on,
+4352            expressions=whens,
+4353        )
 4354
-4355    def _parse_set_item_assignment(
-4356        self, kind: t.Optional[str] = None
-4357    ) -> t.Optional[exp.Expression]:
-4358        index = self._index
-4359
-4360        if kind in {"GLOBAL", "SESSION"} and self._match_text_seq("TRANSACTION"):
-4361            return self._parse_set_transaction(global_=kind == "GLOBAL")
-4362
-4363        left = self._parse_primary() or self._parse_id_var()
-4364
-4365        if not self._match_texts(("=", "TO")):
-4366            self._retreat(index)
-4367            return None
-4368
-4369        right = self._parse_statement() or self._parse_id_var()
-4370        this = self.expression(
-4371            exp.EQ,
-4372            this=left,
-4373            expression=right,
-4374        )
+4355    def _parse_show(self) -> t.Optional[exp.Expression]:
+4356        parser = self._find_parser(self.SHOW_PARSERS, self._show_trie)  # type: ignore
+4357        if parser:
+4358            return parser(self)
+4359        self._advance()
+4360        return self.expression(exp.Show, this=self._prev.text.upper())
+4361
+4362    def _parse_set_item_assignment(
+4363        self, kind: t.Optional[str] = None
+4364    ) -> t.Optional[exp.Expression]:
+4365        index = self._index
+4366
+4367        if kind in {"GLOBAL", "SESSION"} and self._match_text_seq("TRANSACTION"):
+4368            return self._parse_set_transaction(global_=kind == "GLOBAL")
+4369
+4370        left = self._parse_primary() or self._parse_id_var()
+4371
+4372        if not self._match_texts(("=", "TO")):
+4373            self._retreat(index)
+4374            return None
 4375
-4376        return self.expression(
-4377            exp.SetItem,
-4378            this=this,
-4379            kind=kind,
-4380        )
-4381
-4382    def _parse_set_transaction(self, global_: bool = False) -> exp.Expression:
-4383        self._match_text_seq("TRANSACTION")
-4384        characteristics = self._parse_csv(
-4385            lambda: self._parse_var_from_options(self.TRANSACTION_CHARACTERISTICS)
-4386        )
-4387        return self.expression(
-4388            exp.SetItem,
-4389            expressions=characteristics,
-4390            kind="TRANSACTION",
-4391            **{"global": global_},  # type: ignore
-4392        )
-4393
-4394    def _parse_set_item(self) -> t.Optional[exp.Expression]:
-4395        parser = self._find_parser(self.SET_PARSERS, self._set_trie)  # type: ignore
-4396        return parser(self) if parser else self._parse_set_item_assignment(kind=None)
-4397
-4398    def _parse_set(self) -> exp.Expression:
-4399        index = self._index
-4400        set_ = self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item))
-4401
-4402        if self._curr:
-4403            self._retreat(index)
-4404            return self._parse_as_command(self._prev)
-4405
-4406        return set_
-4407
-4408    def _parse_var_from_options(self, options: t.Collection[str]) -> t.Optional[exp.Expression]:
-4409        for option in options:
-4410            if self._match_text_seq(*option.split(" ")):
-4411                return exp.Var(this=option)
-4412        return None
-4413
-4414    def _parse_as_command(self, start: Token) -> exp.Command:
-4415        while self._curr:
-4416            self._advance()
-4417        text = self._find_sql(start, self._prev)
-4418        size = len(start.text)
-4419        return exp.Command(this=text[:size], expression=text[size:])
+4376        right = self._parse_statement() or self._parse_id_var()
+4377        this = self.expression(
+4378            exp.EQ,
+4379            this=left,
+4380            expression=right,
+4381        )
+4382
+4383        return self.expression(
+4384            exp.SetItem,
+4385            this=this,
+4386            kind=kind,
+4387        )
+4388
+4389    def _parse_set_transaction(self, global_: bool = False) -> exp.Expression:
+4390        self._match_text_seq("TRANSACTION")
+4391        characteristics = self._parse_csv(
+4392            lambda: self._parse_var_from_options(self.TRANSACTION_CHARACTERISTICS)
+4393        )
+4394        return self.expression(
+4395            exp.SetItem,
+4396            expressions=characteristics,
+4397            kind="TRANSACTION",
+4398            **{"global": global_},  # type: ignore
+4399        )
+4400
+4401    def _parse_set_item(self) -> t.Optional[exp.Expression]:
+4402        parser = self._find_parser(self.SET_PARSERS, self._set_trie)  # type: ignore
+4403        return parser(self) if parser else self._parse_set_item_assignment(kind=None)
+4404
+4405    def _parse_set(self) -> exp.Expression:
+4406        index = self._index
+4407        set_ = self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item))
+4408
+4409        if self._curr:
+4410            self._retreat(index)
+4411            return self._parse_as_command(self._prev)
+4412
+4413        return set_
+4414
+4415    def _parse_var_from_options(self, options: t.Collection[str]) -> t.Optional[exp.Expression]:
+4416        for option in options:
+4417            if self._match_text_seq(*option.split(" ")):
+4418                return exp.Var(this=option)
+4419        return None
 4420
-4421    def _find_parser(
-4422        self, parsers: t.Dict[str, t.Callable], trie: t.Dict
-4423    ) -> t.Optional[t.Callable]:
-4424        if not self._curr:
-4425            return None
-4426
-4427        index = self._index
-4428        this = []
-4429        while True:
-4430            # The current token might be multiple words
-4431            curr = self._curr.text.upper()
-4432            key = curr.split(" ")
-4433            this.append(curr)
-4434            self._advance()
-4435            result, trie = in_trie(trie, key)
-4436            if result == 0:
-4437                break
-4438            if result == 2:
-4439                subparser = parsers[" ".join(this)]
-4440                return subparser
-4441        self._retreat(index)
-4442        return None
-4443
-4444    def _match(self, token_type, advance=True, expression=None):
-4445        if not self._curr:
-4446            return None
-4447
-4448        if self._curr.token_type == token_type:
-4449            if advance:
-4450                self._advance()
-4451            self._add_comments(expression)
-4452            return True
-4453
-4454        return None
-4455
-4456    def _match_set(self, types, advance=True):
-4457        if not self._curr:
-4458            return None
-4459
-4460        if self._curr.token_type in types:
-4461            if advance:
-4462                self._advance()
-4463            return True
-4464
-4465        return None
+4421    def _parse_as_command(self, start: Token) -> exp.Command:
+4422        while self._curr:
+4423            self._advance()
+4424        text = self._find_sql(start, self._prev)
+4425        size = len(start.text)
+4426        return exp.Command(this=text[:size], expression=text[size:])
+4427
+4428    def _find_parser(
+4429        self, parsers: t.Dict[str, t.Callable], trie: t.Dict
+4430    ) -> t.Optional[t.Callable]:
+4431        if not self._curr:
+4432            return None
+4433
+4434        index = self._index
+4435        this = []
+4436        while True:
+4437            # The current token might be multiple words
+4438            curr = self._curr.text.upper()
+4439            key = curr.split(" ")
+4440            this.append(curr)
+4441            self._advance()
+4442            result, trie = in_trie(trie, key)
+4443            if result == 0:
+4444                break
+4445            if result == 2:
+4446                subparser = parsers[" ".join(this)]
+4447                return subparser
+4448        self._retreat(index)
+4449        return None
+4450
+4451    def _match(self, token_type, advance=True, expression=None):
+4452        if not self._curr:
+4453            return None
+4454
+4455        if self._curr.token_type == token_type:
+4456            if advance:
+4457                self._advance()
+4458            self._add_comments(expression)
+4459            return True
+4460
+4461        return None
+4462
+4463    def _match_set(self, types, advance=True):
+4464        if not self._curr:
+4465            return None
 4466
-4467    def _match_pair(self, token_type_a, token_type_b, advance=True):
-4468        if not self._curr or not self._next:
-4469            return None
-4470
-4471        if self._curr.token_type == token_type_a and self._next.token_type == token_type_b:
-4472            if advance:
-4473                self._advance(2)
-4474            return True
-4475
-4476        return None
+4467        if self._curr.token_type in types:
+4468            if advance:
+4469                self._advance()
+4470            return True
+4471
+4472        return None
+4473
+4474    def _match_pair(self, token_type_a, token_type_b, advance=True):
+4475        if not self._curr or not self._next:
+4476            return None
 4477
-4478    def _match_l_paren(self, expression=None):
-4479        if not self._match(TokenType.L_PAREN, expression=expression):
-4480            self.raise_error("Expecting (")
-4481
-4482    def _match_r_paren(self, expression=None):
-4483        if not self._match(TokenType.R_PAREN, expression=expression):
-4484            self.raise_error("Expecting )")
-4485
-4486    def _match_texts(self, texts, advance=True):
-4487        if self._curr and self._curr.text.upper() in texts:
-4488            if advance:
-4489                self._advance()
-4490            return True
-4491        return False
+4478        if self._curr.token_type == token_type_a and self._next.token_type == token_type_b:
+4479            if advance:
+4480                self._advance(2)
+4481            return True
+4482
+4483        return None
+4484
+4485    def _match_l_paren(self, expression: t.Optional[exp.Expression] = None) -> None:
+4486        if not self._match(TokenType.L_PAREN, expression=expression):
+4487            self.raise_error("Expecting (")
+4488
+4489    def _match_r_paren(self, expression: t.Optional[exp.Expression] = None) -> None:
+4490        if not self._match(TokenType.R_PAREN, expression=expression):
+4491            self.raise_error("Expecting )")
 4492
-4493    def _match_text_seq(self, *texts, advance=True):
-4494        index = self._index
-4495        for text in texts:
-4496            if self._curr and self._curr.text.upper() == text:
-4497                self._advance()
-4498            else:
-4499                self._retreat(index)
-4500                return False
-4501
-4502        if not advance:
-4503            self._retreat(index)
-4504
-4505        return True
-4506
-4507    def _replace_columns_with_dots(self, this):
-4508        if isinstance(this, exp.Dot):
-4509            exp.replace_children(this, self._replace_columns_with_dots)
-4510        elif isinstance(this, exp.Column):
-4511            exp.replace_children(this, self._replace_columns_with_dots)
-4512            table = this.args.get("table")
-4513            this = (
-4514                self.expression(exp.Dot, this=table, expression=this.this)
-4515                if table
-4516                else self.expression(exp.Var, this=this.name)
-4517            )
-4518        elif isinstance(this, exp.Identifier):
-4519            this = self.expression(exp.Var, this=this.name)
-4520        return this
-4521
-4522    def _replace_lambda(self, node, lambda_variables):
-4523        for column in node.find_all(exp.Column):
-4524            if column.parts[0].name in lambda_variables:
-4525                dot_or_id = column.to_dot() if column.table else column.this
-4526                parent = column.parent
-4527
-4528                while isinstance(parent, exp.Dot):
-4529                    if not isinstance(parent.parent, exp.Dot):
-4530                        parent.replace(dot_or_id)
-4531                        break
-4532                    parent = parent.parent
-4533                else:
-4534                    if column is node:
-4535                        node = dot_or_id
-4536                    else:
-4537                        column.replace(dot_or_id)
-4538        return node
+4493    def _match_texts(self, texts, advance=True):
+4494        if self._curr and self._curr.text.upper() in texts:
+4495            if advance:
+4496                self._advance()
+4497            return True
+4498        return False
+4499
+4500    def _match_text_seq(self, *texts, advance=True):
+4501        index = self._index
+4502        for text in texts:
+4503            if self._curr and self._curr.text.upper() == text:
+4504                self._advance()
+4505            else:
+4506                self._retreat(index)
+4507                return False
+4508
+4509        if not advance:
+4510            self._retreat(index)
+4511
+4512        return True
+4513
+4514    def _replace_columns_with_dots(
+4515        self, this: t.Optional[exp.Expression]
+4516    ) -> t.Optional[exp.Expression]:
+4517        if isinstance(this, exp.Dot):
+4518            exp.replace_children(this, self._replace_columns_with_dots)
+4519        elif isinstance(this, exp.Column):
+4520            exp.replace_children(this, self._replace_columns_with_dots)
+4521            table = this.args.get("table")
+4522            this = (
+4523                self.expression(exp.Dot, this=table, expression=this.this)
+4524                if table
+4525                else self.expression(exp.Var, this=this.name)
+4526            )
+4527        elif isinstance(this, exp.Identifier):
+4528            this = self.expression(exp.Var, this=this.name)
+4529
+4530        return this
+4531
+4532    def _replace_lambda(
+4533        self, node: t.Optional[exp.Expression], lambda_variables: t.Set[str]
+4534    ) -> t.Optional[exp.Expression]:
+4535        if not node:
+4536            return node
+4537
+4538        for column in node.find_all(exp.Column):
+4539            if column.parts[0].name in lambda_variables:
+4540                dot_or_id = column.to_dot() if column.table else column.this
+4541                parent = column.parent
+4542
+4543                while isinstance(parent, exp.Dot):
+4544                    if not isinstance(parent.parent, exp.Dot):
+4545                        parent.replace(dot_or_id)
+4546                        break
+4547                    parent = parent.parent
+4548                else:
+4549                    if column is node:
+4550                        node = dot_or_id
+4551                    else:
+4552                        column.replace(dot_or_id)
+4553        return node
 
    
 
 
@@ -4639,25 +4654,25 @@ 
    
 
    
             
         def
-        parse_var_map(args: Sequence) -> sqlglot.expressions.Expression:
+        parse_var_map(args: List) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    19def parse_var_map(args: t.Sequence) -> exp.Expression:
-20    if len(args) == 1 and args[0].is_star:
-21        return exp.StarMap(this=args[0])
-22
-23    keys = []
-24    values = []
-25    for i in range(0, len(args), 2):
-26        keys.append(args[i])
-27        values.append(args[i + 1])
-28    return exp.VarMap(
-29        keys=exp.Array(expressions=keys),
-30        values=exp.Array(expressions=values),
-31    )
+            
    20def parse_var_map(args: t.List) -> exp.Expression:
+21    if len(args) == 1 and args[0].is_star:
+22        return exp.StarMap(this=args[0])
+23
+24    keys = []
+25    values = []
+26    for i in range(0, len(args), 2):
+27        keys.append(args[i])
+28        values.append(args[i + 1])
+29    return exp.VarMap(
+30        keys=exp.Array(expressions=keys),
+31        values=exp.Array(expressions=values),
+32    )
 
    
 
 
@@ -4669,15 +4684,15 @@ 
    
 
    
             
         def
-        parse_like(args):
+        parse_like(args: List) -> sqlglot.expressions.Expression:
 
                 
 
     
    
     
-            
    34def parse_like(args):
-35    like = exp.Like(this=seq_get(args, 1), expression=seq_get(args, 0))
-36    return exp.Escape(this=like, expression=seq_get(args, 2)) if len(args) > 2 else like
+            
    35def parse_like(args: t.List) -> exp.Expression:
+36    like = exp.Like(this=seq_get(args, 1), expression=seq_get(args, 0))
+37    return exp.Escape(this=like, expression=seq_get(args, 2)) if len(args) > 2 else like
 
    
 
 
@@ -4695,12 +4710,12 @@ 
    
 
     
    
     
-            
    39def binary_range_parser(
-40    expr_type: t.Type[exp.Expression],
-41) -> t.Callable[[Parser, t.Optional[exp.Expression]], t.Optional[exp.Expression]]:
-42    return lambda self, this: self._parse_escape(
-43        self.expression(expr_type, this=this, expression=self._parse_bitwise())
-44    )
+            
    40def binary_range_parser(
+41    expr_type: t.Type[exp.Expression],
+42) -> t.Callable[[Parser, t.Optional[exp.Expression]], t.Optional[exp.Expression]]:
+43    return lambda self, this: self._parse_escape(
+44        self.expression(expr_type, this=this, expression=self._parse_bitwise())
+45    )
 
    
 
 
@@ -4718,4490 +4733,4504 @@ 
    
 
     
    
     
-            
      56class Parser(metaclass=_Parser):
-  57    """
-  58    Parser consumes a list of tokens produced by the `sqlglot.tokens.Tokenizer` and produces
-  59    a parsed syntax tree.
-  60
-  61    Args:
-  62        error_level: the desired error level.
-  63            Default: ErrorLevel.RAISE
-  64        error_message_context: determines the amount of context to capture from a
-  65            query string when displaying the error message (in number of characters).
-  66            Default: 50.
-  67        index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.
-  68            Default: 0
-  69        alias_post_tablesample: If the table alias comes after tablesample.
-  70            Default: False
-  71        max_errors: Maximum number of error messages to include in a raised ParseError.
-  72            This is only relevant if error_level is ErrorLevel.RAISE.
-  73            Default: 3
-  74        null_ordering: Indicates the default null ordering method to use if not explicitly set.
-  75            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
-  76            Default: "nulls_are_small"
-  77    """
-  78
-  79    FUNCTIONS: t.Dict[str, t.Callable] = {
-  80        **{name: f.from_arg_list for f in exp.ALL_FUNCTIONS for name in f.sql_names()},
-  81        "DATE_TO_DATE_STR": lambda args: exp.Cast(
-  82            this=seq_get(args, 0),
-  83            to=exp.DataType(this=exp.DataType.Type.TEXT),
-  84        ),
-  85        "GLOB": lambda args: exp.Glob(this=seq_get(args, 1), expression=seq_get(args, 0)),
-  86        "IFNULL": exp.Coalesce.from_arg_list,
-  87        "LIKE": parse_like,
-  88        "TIME_TO_TIME_STR": lambda args: exp.Cast(
-  89            this=seq_get(args, 0),
-  90            to=exp.DataType(this=exp.DataType.Type.TEXT),
-  91        ),
-  92        "TS_OR_DS_TO_DATE_STR": lambda args: exp.Substring(
-  93            this=exp.Cast(
-  94                this=seq_get(args, 0),
-  95                to=exp.DataType(this=exp.DataType.Type.TEXT),
-  96            ),
-  97            start=exp.Literal.number(1),
-  98            length=exp.Literal.number(10),
-  99        ),
- 100        "VAR_MAP": parse_var_map,
- 101    }
- 102
- 103    NO_PAREN_FUNCTIONS = {
- 104        TokenType.CURRENT_DATE: exp.CurrentDate,
- 105        TokenType.CURRENT_DATETIME: exp.CurrentDate,
- 106        TokenType.CURRENT_TIME: exp.CurrentTime,
- 107        TokenType.CURRENT_TIMESTAMP: exp.CurrentTimestamp,
- 108        TokenType.CURRENT_USER: exp.CurrentUser,
- 109    }
- 110
- 111    JOIN_HINTS: t.Set[str] = set()
- 112
- 113    NESTED_TYPE_TOKENS = {
- 114        TokenType.ARRAY,
- 115        TokenType.MAP,
- 116        TokenType.NULLABLE,
- 117        TokenType.STRUCT,
- 118    }
- 119
- 120    TYPE_TOKENS = {
- 121        TokenType.BIT,
- 122        TokenType.BOOLEAN,
- 123        TokenType.TINYINT,
- 124        TokenType.UTINYINT,
- 125        TokenType.SMALLINT,
- 126        TokenType.USMALLINT,
- 127        TokenType.INT,
- 128        TokenType.UINT,
- 129        TokenType.BIGINT,
- 130        TokenType.UBIGINT,
- 131        TokenType.INT128,
- 132        TokenType.UINT128,
- 133        TokenType.INT256,
- 134        TokenType.UINT256,
- 135        TokenType.FLOAT,
- 136        TokenType.DOUBLE,
- 137        TokenType.CHAR,
- 138        TokenType.NCHAR,
- 139        TokenType.VARCHAR,
- 140        TokenType.NVARCHAR,
- 141        TokenType.TEXT,
- 142        TokenType.MEDIUMTEXT,
- 143        TokenType.LONGTEXT,
- 144        TokenType.MEDIUMBLOB,
- 145        TokenType.LONGBLOB,
- 146        TokenType.BINARY,
- 147        TokenType.VARBINARY,
- 148        TokenType.JSON,
- 149        TokenType.JSONB,
- 150        TokenType.INTERVAL,
- 151        TokenType.TIME,
- 152        TokenType.TIMESTAMP,
- 153        TokenType.TIMESTAMPTZ,
- 154        TokenType.TIMESTAMPLTZ,
- 155        TokenType.DATETIME,
- 156        TokenType.DATETIME64,
- 157        TokenType.DATE,
- 158        TokenType.DECIMAL,
- 159        TokenType.BIGDECIMAL,
- 160        TokenType.UUID,
- 161        TokenType.GEOGRAPHY,
- 162        TokenType.GEOMETRY,
- 163        TokenType.HLLSKETCH,
- 164        TokenType.HSTORE,
- 165        TokenType.PSEUDO_TYPE,
- 166        TokenType.SUPER,
- 167        TokenType.SERIAL,
- 168        TokenType.SMALLSERIAL,
- 169        TokenType.BIGSERIAL,
- 170        TokenType.XML,
- 171        TokenType.UNIQUEIDENTIFIER,
- 172        TokenType.MONEY,
- 173        TokenType.SMALLMONEY,
- 174        TokenType.ROWVERSION,
- 175        TokenType.IMAGE,
- 176        TokenType.VARIANT,
- 177        TokenType.OBJECT,
- 178        TokenType.INET,
- 179        *NESTED_TYPE_TOKENS,
- 180    }
- 181
- 182    SUBQUERY_PREDICATES = {
- 183        TokenType.ANY: exp.Any,
- 184        TokenType.ALL: exp.All,
- 185        TokenType.EXISTS: exp.Exists,
- 186        TokenType.SOME: exp.Any,
- 187    }
- 188
- 189    RESERVED_KEYWORDS = {*Tokenizer.SINGLE_TOKENS.values(), TokenType.SELECT}
- 190
- 191    DB_CREATABLES = {
- 192        TokenType.DATABASE,
- 193        TokenType.SCHEMA,
- 194        TokenType.TABLE,
- 195        TokenType.VIEW,
- 196    }
- 197
- 198    CREATABLES = {
- 199        TokenType.COLUMN,
- 200        TokenType.FUNCTION,
- 201        TokenType.INDEX,
- 202        TokenType.PROCEDURE,
- 203        *DB_CREATABLES,
- 204    }
- 205
- 206    ID_VAR_TOKENS = {
- 207        TokenType.VAR,
- 208        TokenType.ANTI,
- 209        TokenType.APPLY,
- 210        TokenType.ASC,
- 211        TokenType.AUTO_INCREMENT,
- 212        TokenType.BEGIN,
- 213        TokenType.CACHE,
- 214        TokenType.COLLATE,
- 215        TokenType.COMMAND,
- 216        TokenType.COMMENT,
- 217        TokenType.COMMIT,
- 218        TokenType.CONSTRAINT,
- 219        TokenType.DEFAULT,
- 220        TokenType.DELETE,
- 221        TokenType.DESC,
- 222        TokenType.DESCRIBE,
- 223        TokenType.DIV,
- 224        TokenType.END,
- 225        TokenType.EXECUTE,
- 226        TokenType.ESCAPE,
- 227        TokenType.FALSE,
- 228        TokenType.FIRST,
- 229        TokenType.FILTER,
- 230        TokenType.FORMAT,
- 231        TokenType.FULL,
- 232        TokenType.IF,
- 233        TokenType.IS,
- 234        TokenType.ISNULL,
- 235        TokenType.INTERVAL,
- 236        TokenType.KEEP,
- 237        TokenType.LEFT,
- 238        TokenType.LOAD,
- 239        TokenType.MERGE,
- 240        TokenType.NATURAL,
- 241        TokenType.NEXT,
- 242        TokenType.OFFSET,
- 243        TokenType.ORDINALITY,
- 244        TokenType.OVERWRITE,
- 245        TokenType.PARTITION,
- 246        TokenType.PERCENT,
- 247        TokenType.PIVOT,
- 248        TokenType.PRAGMA,
- 249        TokenType.RANGE,
- 250        TokenType.REFERENCES,
- 251        TokenType.RIGHT,
- 252        TokenType.ROW,
- 253        TokenType.ROWS,
- 254        TokenType.SEMI,
- 255        TokenType.SET,
- 256        TokenType.SETTINGS,
- 257        TokenType.SHOW,
- 258        TokenType.TEMPORARY,
- 259        TokenType.TOP,
- 260        TokenType.TRUE,
- 261        TokenType.UNIQUE,
- 262        TokenType.UNPIVOT,
- 263        TokenType.VOLATILE,
- 264        TokenType.WINDOW,
- 265        *CREATABLES,
- 266        *SUBQUERY_PREDICATES,
- 267        *TYPE_TOKENS,
- 268        *NO_PAREN_FUNCTIONS,
- 269    }
- 270
- 271    INTERVAL_VARS = ID_VAR_TOKENS - {TokenType.END}
- 272
- 273    TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - {
- 274        TokenType.APPLY,
- 275        TokenType.FULL,
- 276        TokenType.LEFT,
- 277        TokenType.LOCK,
- 278        TokenType.NATURAL,
- 279        TokenType.OFFSET,
- 280        TokenType.RIGHT,
- 281        TokenType.WINDOW,
- 282    }
- 283
- 284    COMMENT_TABLE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.IS}
- 285
- 286    UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET}
- 287
- 288    TRIM_TYPES = {"LEADING", "TRAILING", "BOTH"}
- 289
- 290    FUNC_TOKENS = {
- 291        TokenType.COMMAND,
- 292        TokenType.CURRENT_DATE,
- 293        TokenType.CURRENT_DATETIME,
- 294        TokenType.CURRENT_TIMESTAMP,
- 295        TokenType.CURRENT_TIME,
- 296        TokenType.CURRENT_USER,
- 297        TokenType.FILTER,
- 298        TokenType.FIRST,
- 299        TokenType.FORMAT,
- 300        TokenType.GLOB,
- 301        TokenType.IDENTIFIER,
- 302        TokenType.INDEX,
- 303        TokenType.ISNULL,
- 304        TokenType.ILIKE,
- 305        TokenType.LIKE,
- 306        TokenType.MERGE,
- 307        TokenType.OFFSET,
- 308        TokenType.PRIMARY_KEY,
- 309        TokenType.RANGE,
- 310        TokenType.REPLACE,
- 311        TokenType.ROW,
- 312        TokenType.UNNEST,
- 313        TokenType.VAR,
- 314        TokenType.LEFT,
- 315        TokenType.RIGHT,
- 316        TokenType.DATE,
- 317        TokenType.DATETIME,
- 318        TokenType.TABLE,
- 319        TokenType.TIMESTAMP,
- 320        TokenType.TIMESTAMPTZ,
- 321        TokenType.WINDOW,
- 322        *TYPE_TOKENS,
- 323        *SUBQUERY_PREDICATES,
- 324    }
- 325
- 326    CONJUNCTION = {
- 327        TokenType.AND: exp.And,
- 328        TokenType.OR: exp.Or,
- 329    }
- 330
- 331    EQUALITY = {
- 332        TokenType.EQ: exp.EQ,
- 333        TokenType.NEQ: exp.NEQ,
- 334        TokenType.NULLSAFE_EQ: exp.NullSafeEQ,
- 335    }
- 336
- 337    COMPARISON = {
- 338        TokenType.GT: exp.GT,
- 339        TokenType.GTE: exp.GTE,
- 340        TokenType.LT: exp.LT,
- 341        TokenType.LTE: exp.LTE,
- 342    }
- 343
- 344    BITWISE = {
- 345        TokenType.AMP: exp.BitwiseAnd,
- 346        TokenType.CARET: exp.BitwiseXor,
- 347        TokenType.PIPE: exp.BitwiseOr,
- 348        TokenType.DPIPE: exp.DPipe,
- 349    }
- 350
- 351    TERM = {
- 352        TokenType.DASH: exp.Sub,
- 353        TokenType.PLUS: exp.Add,
- 354        TokenType.MOD: exp.Mod,
- 355        TokenType.COLLATE: exp.Collate,
- 356    }
- 357
- 358    FACTOR = {
- 359        TokenType.DIV: exp.IntDiv,
- 360        TokenType.LR_ARROW: exp.Distance,
- 361        TokenType.SLASH: exp.Div,
- 362        TokenType.STAR: exp.Mul,
- 363    }
- 364
- 365    TIMESTAMPS = {
- 366        TokenType.TIME,
- 367        TokenType.TIMESTAMP,
- 368        TokenType.TIMESTAMPTZ,
- 369        TokenType.TIMESTAMPLTZ,
- 370    }
- 371
- 372    SET_OPERATIONS = {
- 373        TokenType.UNION,
- 374        TokenType.INTERSECT,
- 375        TokenType.EXCEPT,
- 376    }
- 377
- 378    JOIN_SIDES = {
- 379        TokenType.LEFT,
- 380        TokenType.RIGHT,
- 381        TokenType.FULL,
- 382    }
- 383
- 384    JOIN_KINDS = {
- 385        TokenType.INNER,
- 386        TokenType.OUTER,
- 387        TokenType.CROSS,
- 388        TokenType.SEMI,
- 389        TokenType.ANTI,
- 390    }
- 391
- 392    LAMBDAS = {
- 393        TokenType.ARROW: lambda self, expressions: self.expression(
- 394            exp.Lambda,
- 395            this=self._replace_lambda(
- 396                self._parse_conjunction(),
- 397                {node.name for node in expressions},
- 398            ),
- 399            expressions=expressions,
- 400        ),
- 401        TokenType.FARROW: lambda self, expressions: self.expression(
- 402            exp.Kwarg,
- 403            this=exp.Var(this=expressions[0].name),
- 404            expression=self._parse_conjunction(),
- 405        ),
- 406    }
- 407
- 408    COLUMN_OPERATORS = {
- 409        TokenType.DOT: None,
- 410        TokenType.DCOLON: lambda self, this, to: self.expression(
- 411            exp.Cast if self.STRICT_CAST else exp.TryCast,
- 412            this=this,
- 413            to=to,
- 414        ),
- 415        TokenType.ARROW: lambda self, this, path: self.expression(
- 416            exp.JSONExtract,
- 417            this=this,
- 418            expression=path,
- 419        ),
- 420        TokenType.DARROW: lambda self, this, path: self.expression(
- 421            exp.JSONExtractScalar,
- 422            this=this,
- 423            expression=path,
- 424        ),
- 425        TokenType.HASH_ARROW: lambda self, this, path: self.expression(
- 426            exp.JSONBExtract,
- 427            this=this,
- 428            expression=path,
- 429        ),
- 430        TokenType.DHASH_ARROW: lambda self, this, path: self.expression(
- 431            exp.JSONBExtractScalar,
- 432            this=this,
- 433            expression=path,
- 434        ),
- 435        TokenType.PLACEHOLDER: lambda self, this, key: self.expression(
- 436            exp.JSONBContains,
- 437            this=this,
- 438            expression=key,
- 439        ),
- 440    }
- 441
- 442    EXPRESSION_PARSERS = {
- 443        exp.Column: lambda self: self._parse_column(),
- 444        exp.DataType: lambda self: self._parse_types(),
- 445        exp.From: lambda self: self._parse_from(),
- 446        exp.Group: lambda self: self._parse_group(),
- 447        exp.Identifier: lambda self: self._parse_id_var(),
- 448        exp.Lateral: lambda self: self._parse_lateral(),
- 449        exp.Join: lambda self: self._parse_join(),
- 450        exp.Order: lambda self: self._parse_order(),
- 451        exp.Cluster: lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
- 452        exp.Sort: lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
- 453        exp.Lambda: lambda self: self._parse_lambda(),
- 454        exp.Limit: lambda self: self._parse_limit(),
- 455        exp.Offset: lambda self: self._parse_offset(),
- 456        exp.TableAlias: lambda self: self._parse_table_alias(),
- 457        exp.Table: lambda self: self._parse_table_parts(),
- 458        exp.Condition: lambda self: self._parse_conjunction(),
- 459        exp.Expression: lambda self: self._parse_statement(),
- 460        exp.Properties: lambda self: self._parse_properties(),
- 461        exp.Where: lambda self: self._parse_where(),
- 462        exp.Ordered: lambda self: self._parse_ordered(),
- 463        exp.Having: lambda self: self._parse_having(),
- 464        exp.With: lambda self: self._parse_with(),
- 465        exp.Window: lambda self: self._parse_named_window(),
- 466        exp.Qualify: lambda self: self._parse_qualify(),
- 467        exp.Returning: lambda self: self._parse_returning(),
- 468        "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(),
- 469    }
- 470
- 471    STATEMENT_PARSERS = {
- 472        TokenType.ALTER: lambda self: self._parse_alter(),
- 473        TokenType.BEGIN: lambda self: self._parse_transaction(),
- 474        TokenType.CACHE: lambda self: self._parse_cache(),
- 475        TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(),
- 476        TokenType.COMMENT: lambda self: self._parse_comment(),
- 477        TokenType.CREATE: lambda self: self._parse_create(),
- 478        TokenType.DELETE: lambda self: self._parse_delete(),
- 479        TokenType.DESC: lambda self: self._parse_describe(),
- 480        TokenType.DESCRIBE: lambda self: self._parse_describe(),
- 481        TokenType.DROP: lambda self: self._parse_drop(),
- 482        TokenType.END: lambda self: self._parse_commit_or_rollback(),
- 483        TokenType.INSERT: lambda self: self._parse_insert(),
- 484        TokenType.LOAD: lambda self: self._parse_load(),
- 485        TokenType.MERGE: lambda self: self._parse_merge(),
- 486        TokenType.PRAGMA: lambda self: self.expression(exp.Pragma, this=self._parse_expression()),
- 487        TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(),
- 488        TokenType.SET: lambda self: self._parse_set(),
- 489        TokenType.UNCACHE: lambda self: self._parse_uncache(),
- 490        TokenType.UPDATE: lambda self: self._parse_update(),
- 491        TokenType.USE: lambda self: self.expression(
- 492            exp.Use,
- 493            kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA"))
- 494            and exp.Var(this=self._prev.text),
- 495            this=self._parse_table(schema=False),
- 496        ),
- 497    }
- 498
- 499    UNARY_PARSERS = {
- 500        TokenType.PLUS: lambda self: self._parse_unary(),  # Unary + is handled as a no-op
- 501        TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()),
- 502        TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()),
- 503        TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()),
- 504    }
- 505
- 506    PRIMARY_PARSERS = {
- 507        TokenType.STRING: lambda self, token: self.expression(
- 508            exp.Literal, this=token.text, is_string=True
- 509        ),
- 510        TokenType.NUMBER: lambda self, token: self.expression(
- 511            exp.Literal, this=token.text, is_string=False
- 512        ),
- 513        TokenType.STAR: lambda self, _: self.expression(
- 514            exp.Star,
- 515            **{"except": self._parse_except(), "replace": self._parse_replace()},
- 516        ),
- 517        TokenType.NULL: lambda self, _: self.expression(exp.Null),
- 518        TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True),
- 519        TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False),
- 520        TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text),
- 521        TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text),
- 522        TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text),
- 523        TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token),
- 524        TokenType.NATIONAL: lambda self, token: self._parse_national(token),
- 525        TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(),
- 526    }
- 527
- 528    PLACEHOLDER_PARSERS = {
- 529        TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder),
- 530        TokenType.PARAMETER: lambda self: self._parse_parameter(),
- 531        TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text)
- 532        if self._match_set((TokenType.NUMBER, TokenType.VAR))
- 533        else None,
- 534    }
- 535
- 536    RANGE_PARSERS = {
- 537        TokenType.BETWEEN: lambda self, this: self._parse_between(this),
- 538        TokenType.GLOB: binary_range_parser(exp.Glob),
- 539        TokenType.ILIKE: binary_range_parser(exp.ILike),
- 540        TokenType.IN: lambda self, this: self._parse_in(this),
- 541        TokenType.IRLIKE: binary_range_parser(exp.RegexpILike),
- 542        TokenType.IS: lambda self, this: self._parse_is(this),
- 543        TokenType.LIKE: binary_range_parser(exp.Like),
- 544        TokenType.OVERLAPS: binary_range_parser(exp.Overlaps),
- 545        TokenType.RLIKE: binary_range_parser(exp.RegexpLike),
- 546        TokenType.SIMILAR_TO: binary_range_parser(exp.SimilarTo),
- 547    }
- 548
- 549    PROPERTY_PARSERS: t.Dict[str, t.Callable] = {
- 550        "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty),
- 551        "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty),
- 552        "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(),
- 553        "CHARACTER SET": lambda self: self._parse_character_set(),
- 554        "CHECKSUM": lambda self: self._parse_checksum(),
- 555        "CLUSTER": lambda self: self._parse_cluster(),
- 556        "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty),
- 557        "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty),
- 558        "DATABLOCKSIZE": lambda self, **kwargs: self._parse_datablocksize(**kwargs),
- 559        "DEFINER": lambda self: self._parse_definer(),
- 560        "DETERMINISTIC": lambda self: self.expression(
- 561            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
- 562        ),
- 563        "DISTKEY": lambda self: self._parse_distkey(),
- 564        "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty),
- 565        "ENGINE": lambda self: self._parse_property_assignment(exp.EngineProperty),
- 566        "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty),
- 567        "EXTERNAL": lambda self: self.expression(exp.ExternalProperty),
- 568        "FALLBACK": lambda self, **kwargs: self._parse_fallback(**kwargs),
- 569        "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
- 570        "FREESPACE": lambda self: self._parse_freespace(),
- 571        "IMMUTABLE": lambda self: self.expression(
- 572            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
- 573        ),
- 574        "JOURNAL": lambda self, **kwargs: self._parse_journal(**kwargs),
- 575        "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty),
- 576        "LIKE": lambda self: self._parse_create_like(),
- 577        "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty),
- 578        "LOCK": lambda self: self._parse_locking(),
- 579        "LOCKING": lambda self: self._parse_locking(),
- 580        "LOG": lambda self, **kwargs: self._parse_log(**kwargs),
- 581        "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty),
- 582        "MERGEBLOCKRATIO": lambda self, **kwargs: self._parse_mergeblockratio(**kwargs),
- 583        "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True),
- 584        "NO": lambda self: self._parse_no_property(),
- 585        "ON": lambda self: self._parse_on_property(),
- 586        "ORDER BY": lambda self: self._parse_order(skip_order_token=True),
- 587        "PARTITION BY": lambda self: self._parse_partitioned_by(),
- 588        "PARTITIONED BY": lambda self: self._parse_partitioned_by(),
- 589        "PARTITIONED_BY": lambda self: self._parse_partitioned_by(),
- 590        "PRIMARY KEY": lambda self: self._parse_primary_key(),
- 591        "RETURNS": lambda self: self._parse_returns(),
- 592        "ROW": lambda self: self._parse_row(),
- 593        "ROW_FORMAT": lambda self: self._parse_property_assignment(exp.RowFormatProperty),
- 594        "SET": lambda self: self.expression(exp.SetProperty, multi=False),
- 595        "SETTINGS": lambda self: self.expression(
- 596            exp.SettingsProperty, expressions=self._parse_csv(self._parse_set_item)
- 597        ),
- 598        "SORTKEY": lambda self: self._parse_sortkey(),
- 599        "STABLE": lambda self: self.expression(
- 600            exp.StabilityProperty, this=exp.Literal.string("STABLE")
+            
      57class Parser(metaclass=_Parser):
+  58    """
+  59    Parser consumes a list of tokens produced by the `sqlglot.tokens.Tokenizer` and produces
+  60    a parsed syntax tree.
+  61
+  62    Args:
+  63        error_level: the desired error level.
+  64            Default: ErrorLevel.RAISE
+  65        error_message_context: determines the amount of context to capture from a
+  66            query string when displaying the error message (in number of characters).
+  67            Default: 50.
+  68        index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.
+  69            Default: 0
+  70        alias_post_tablesample: If the table alias comes after tablesample.
+  71            Default: False
+  72        max_errors: Maximum number of error messages to include in a raised ParseError.
+  73            This is only relevant if error_level is ErrorLevel.RAISE.
+  74            Default: 3
+  75        null_ordering: Indicates the default null ordering method to use if not explicitly set.
+  76            Options are "nulls_are_small", "nulls_are_large", "nulls_are_last".
+  77            Default: "nulls_are_small"
+  78    """
+  79
+  80    FUNCTIONS: t.Dict[str, t.Callable] = {
+  81        **{name: f.from_arg_list for f in exp.ALL_FUNCTIONS for name in f.sql_names()},
+  82        "DATE_TO_DATE_STR": lambda args: exp.Cast(
+  83            this=seq_get(args, 0),
+  84            to=exp.DataType(this=exp.DataType.Type.TEXT),
+  85        ),
+  86        "GLOB": lambda args: exp.Glob(this=seq_get(args, 1), expression=seq_get(args, 0)),
+  87        "IFNULL": exp.Coalesce.from_arg_list,
+  88        "LIKE": parse_like,
+  89        "TIME_TO_TIME_STR": lambda args: exp.Cast(
+  90            this=seq_get(args, 0),
+  91            to=exp.DataType(this=exp.DataType.Type.TEXT),
+  92        ),
+  93        "TS_OR_DS_TO_DATE_STR": lambda args: exp.Substring(
+  94            this=exp.Cast(
+  95                this=seq_get(args, 0),
+  96                to=exp.DataType(this=exp.DataType.Type.TEXT),
+  97            ),
+  98            start=exp.Literal.number(1),
+  99            length=exp.Literal.number(10),
+ 100        ),
+ 101        "VAR_MAP": parse_var_map,
+ 102    }
+ 103
+ 104    NO_PAREN_FUNCTIONS = {
+ 105        TokenType.CURRENT_DATE: exp.CurrentDate,
+ 106        TokenType.CURRENT_DATETIME: exp.CurrentDate,
+ 107        TokenType.CURRENT_TIME: exp.CurrentTime,
+ 108        TokenType.CURRENT_TIMESTAMP: exp.CurrentTimestamp,
+ 109        TokenType.CURRENT_USER: exp.CurrentUser,
+ 110    }
+ 111
+ 112    JOIN_HINTS: t.Set[str] = set()
+ 113
+ 114    NESTED_TYPE_TOKENS = {
+ 115        TokenType.ARRAY,
+ 116        TokenType.MAP,
+ 117        TokenType.NULLABLE,
+ 118        TokenType.STRUCT,
+ 119    }
+ 120
+ 121    TYPE_TOKENS = {
+ 122        TokenType.BIT,
+ 123        TokenType.BOOLEAN,
+ 124        TokenType.TINYINT,
+ 125        TokenType.UTINYINT,
+ 126        TokenType.SMALLINT,
+ 127        TokenType.USMALLINT,
+ 128        TokenType.INT,
+ 129        TokenType.UINT,
+ 130        TokenType.BIGINT,
+ 131        TokenType.UBIGINT,
+ 132        TokenType.INT128,
+ 133        TokenType.UINT128,
+ 134        TokenType.INT256,
+ 135        TokenType.UINT256,
+ 136        TokenType.FLOAT,
+ 137        TokenType.DOUBLE,
+ 138        TokenType.CHAR,
+ 139        TokenType.NCHAR,
+ 140        TokenType.VARCHAR,
+ 141        TokenType.NVARCHAR,
+ 142        TokenType.TEXT,
+ 143        TokenType.MEDIUMTEXT,
+ 144        TokenType.LONGTEXT,
+ 145        TokenType.MEDIUMBLOB,
+ 146        TokenType.LONGBLOB,
+ 147        TokenType.BINARY,
+ 148        TokenType.VARBINARY,
+ 149        TokenType.JSON,
+ 150        TokenType.JSONB,
+ 151        TokenType.INTERVAL,
+ 152        TokenType.TIME,
+ 153        TokenType.TIMESTAMP,
+ 154        TokenType.TIMESTAMPTZ,
+ 155        TokenType.TIMESTAMPLTZ,
+ 156        TokenType.DATETIME,
+ 157        TokenType.DATETIME64,
+ 158        TokenType.DATE,
+ 159        TokenType.DECIMAL,
+ 160        TokenType.BIGDECIMAL,
+ 161        TokenType.UUID,
+ 162        TokenType.GEOGRAPHY,
+ 163        TokenType.GEOMETRY,
+ 164        TokenType.HLLSKETCH,
+ 165        TokenType.HSTORE,
+ 166        TokenType.PSEUDO_TYPE,
+ 167        TokenType.SUPER,
+ 168        TokenType.SERIAL,
+ 169        TokenType.SMALLSERIAL,
+ 170        TokenType.BIGSERIAL,
+ 171        TokenType.XML,
+ 172        TokenType.UNIQUEIDENTIFIER,
+ 173        TokenType.MONEY,
+ 174        TokenType.SMALLMONEY,
+ 175        TokenType.ROWVERSION,
+ 176        TokenType.IMAGE,
+ 177        TokenType.VARIANT,
+ 178        TokenType.OBJECT,
+ 179        TokenType.INET,
+ 180        *NESTED_TYPE_TOKENS,
+ 181    }
+ 182
+ 183    SUBQUERY_PREDICATES = {
+ 184        TokenType.ANY: exp.Any,
+ 185        TokenType.ALL: exp.All,
+ 186        TokenType.EXISTS: exp.Exists,
+ 187        TokenType.SOME: exp.Any,
+ 188    }
+ 189
+ 190    RESERVED_KEYWORDS = {*Tokenizer.SINGLE_TOKENS.values(), TokenType.SELECT}
+ 191
+ 192    DB_CREATABLES = {
+ 193        TokenType.DATABASE,
+ 194        TokenType.SCHEMA,
+ 195        TokenType.TABLE,
+ 196        TokenType.VIEW,
+ 197    }
+ 198
+ 199    CREATABLES = {
+ 200        TokenType.COLUMN,
+ 201        TokenType.FUNCTION,
+ 202        TokenType.INDEX,
+ 203        TokenType.PROCEDURE,
+ 204        *DB_CREATABLES,
+ 205    }
+ 206
+ 207    ID_VAR_TOKENS = {
+ 208        TokenType.VAR,
+ 209        TokenType.ANTI,
+ 210        TokenType.APPLY,
+ 211        TokenType.ASC,
+ 212        TokenType.AUTO_INCREMENT,
+ 213        TokenType.BEGIN,
+ 214        TokenType.CACHE,
+ 215        TokenType.COLLATE,
+ 216        TokenType.COMMAND,
+ 217        TokenType.COMMENT,
+ 218        TokenType.COMMIT,
+ 219        TokenType.CONSTRAINT,
+ 220        TokenType.DEFAULT,
+ 221        TokenType.DELETE,
+ 222        TokenType.DESC,
+ 223        TokenType.DESCRIBE,
+ 224        TokenType.DIV,
+ 225        TokenType.END,
+ 226        TokenType.EXECUTE,
+ 227        TokenType.ESCAPE,
+ 228        TokenType.FALSE,
+ 229        TokenType.FIRST,
+ 230        TokenType.FILTER,
+ 231        TokenType.FORMAT,
+ 232        TokenType.FULL,
+ 233        TokenType.IF,
+ 234        TokenType.IS,
+ 235        TokenType.ISNULL,
+ 236        TokenType.INTERVAL,
+ 237        TokenType.KEEP,
+ 238        TokenType.LEFT,
+ 239        TokenType.LOAD,
+ 240        TokenType.MERGE,
+ 241        TokenType.NATURAL,
+ 242        TokenType.NEXT,
+ 243        TokenType.OFFSET,
+ 244        TokenType.ORDINALITY,
+ 245        TokenType.OVERWRITE,
+ 246        TokenType.PARTITION,
+ 247        TokenType.PERCENT,
+ 248        TokenType.PIVOT,
+ 249        TokenType.PRAGMA,
+ 250        TokenType.RANGE,
+ 251        TokenType.REFERENCES,
+ 252        TokenType.RIGHT,
+ 253        TokenType.ROW,
+ 254        TokenType.ROWS,
+ 255        TokenType.SEMI,
+ 256        TokenType.SET,
+ 257        TokenType.SETTINGS,
+ 258        TokenType.SHOW,
+ 259        TokenType.TEMPORARY,
+ 260        TokenType.TOP,
+ 261        TokenType.TRUE,
+ 262        TokenType.UNIQUE,
+ 263        TokenType.UNPIVOT,
+ 264        TokenType.VOLATILE,
+ 265        TokenType.WINDOW,
+ 266        *CREATABLES,
+ 267        *SUBQUERY_PREDICATES,
+ 268        *TYPE_TOKENS,
+ 269        *NO_PAREN_FUNCTIONS,
+ 270    }
+ 271
+ 272    INTERVAL_VARS = ID_VAR_TOKENS - {TokenType.END}
+ 273
+ 274    TABLE_ALIAS_TOKENS = ID_VAR_TOKENS - {
+ 275        TokenType.APPLY,
+ 276        TokenType.FULL,
+ 277        TokenType.LEFT,
+ 278        TokenType.LOCK,
+ 279        TokenType.NATURAL,
+ 280        TokenType.OFFSET,
+ 281        TokenType.RIGHT,
+ 282        TokenType.WINDOW,
+ 283    }
+ 284
+ 285    COMMENT_TABLE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.IS}
+ 286
+ 287    UPDATE_ALIAS_TOKENS = TABLE_ALIAS_TOKENS - {TokenType.SET}
+ 288
+ 289    TRIM_TYPES = {"LEADING", "TRAILING", "BOTH"}
+ 290
+ 291    FUNC_TOKENS = {
+ 292        TokenType.COMMAND,
+ 293        TokenType.CURRENT_DATE,
+ 294        TokenType.CURRENT_DATETIME,
+ 295        TokenType.CURRENT_TIMESTAMP,
+ 296        TokenType.CURRENT_TIME,
+ 297        TokenType.CURRENT_USER,
+ 298        TokenType.FILTER,
+ 299        TokenType.FIRST,
+ 300        TokenType.FORMAT,
+ 301        TokenType.GLOB,
+ 302        TokenType.IDENTIFIER,
+ 303        TokenType.INDEX,
+ 304        TokenType.ISNULL,
+ 305        TokenType.ILIKE,
+ 306        TokenType.LIKE,
+ 307        TokenType.MERGE,
+ 308        TokenType.OFFSET,
+ 309        TokenType.PRIMARY_KEY,
+ 310        TokenType.RANGE,
+ 311        TokenType.REPLACE,
+ 312        TokenType.ROW,
+ 313        TokenType.UNNEST,
+ 314        TokenType.VAR,
+ 315        TokenType.LEFT,
+ 316        TokenType.RIGHT,
+ 317        TokenType.DATE,
+ 318        TokenType.DATETIME,
+ 319        TokenType.TABLE,
+ 320        TokenType.TIMESTAMP,
+ 321        TokenType.TIMESTAMPTZ,
+ 322        TokenType.WINDOW,
+ 323        *TYPE_TOKENS,
+ 324        *SUBQUERY_PREDICATES,
+ 325    }
+ 326
+ 327    CONJUNCTION = {
+ 328        TokenType.AND: exp.And,
+ 329        TokenType.OR: exp.Or,
+ 330    }
+ 331
+ 332    EQUALITY = {
+ 333        TokenType.EQ: exp.EQ,
+ 334        TokenType.NEQ: exp.NEQ,
+ 335        TokenType.NULLSAFE_EQ: exp.NullSafeEQ,
+ 336    }
+ 337
+ 338    COMPARISON = {
+ 339        TokenType.GT: exp.GT,
+ 340        TokenType.GTE: exp.GTE,
+ 341        TokenType.LT: exp.LT,
+ 342        TokenType.LTE: exp.LTE,
+ 343    }
+ 344
+ 345    BITWISE = {
+ 346        TokenType.AMP: exp.BitwiseAnd,
+ 347        TokenType.CARET: exp.BitwiseXor,
+ 348        TokenType.PIPE: exp.BitwiseOr,
+ 349        TokenType.DPIPE: exp.DPipe,
+ 350    }
+ 351
+ 352    TERM = {
+ 353        TokenType.DASH: exp.Sub,
+ 354        TokenType.PLUS: exp.Add,
+ 355        TokenType.MOD: exp.Mod,
+ 356        TokenType.COLLATE: exp.Collate,
+ 357    }
+ 358
+ 359    FACTOR = {
+ 360        TokenType.DIV: exp.IntDiv,
+ 361        TokenType.LR_ARROW: exp.Distance,
+ 362        TokenType.SLASH: exp.Div,
+ 363        TokenType.STAR: exp.Mul,
+ 364    }
+ 365
+ 366    TIMESTAMPS = {
+ 367        TokenType.TIME,
+ 368        TokenType.TIMESTAMP,
+ 369        TokenType.TIMESTAMPTZ,
+ 370        TokenType.TIMESTAMPLTZ,
+ 371    }
+ 372
+ 373    SET_OPERATIONS = {
+ 374        TokenType.UNION,
+ 375        TokenType.INTERSECT,
+ 376        TokenType.EXCEPT,
+ 377    }
+ 378
+ 379    JOIN_SIDES = {
+ 380        TokenType.LEFT,
+ 381        TokenType.RIGHT,
+ 382        TokenType.FULL,
+ 383    }
+ 384
+ 385    JOIN_KINDS = {
+ 386        TokenType.INNER,
+ 387        TokenType.OUTER,
+ 388        TokenType.CROSS,
+ 389        TokenType.SEMI,
+ 390        TokenType.ANTI,
+ 391    }
+ 392
+ 393    LAMBDAS = {
+ 394        TokenType.ARROW: lambda self, expressions: self.expression(
+ 395            exp.Lambda,
+ 396            this=self._replace_lambda(
+ 397                self._parse_conjunction(),
+ 398                {node.name for node in expressions},
+ 399            ),
+ 400            expressions=expressions,
+ 401        ),
+ 402        TokenType.FARROW: lambda self, expressions: self.expression(
+ 403            exp.Kwarg,
+ 404            this=exp.Var(this=expressions[0].name),
+ 405            expression=self._parse_conjunction(),
+ 406        ),
+ 407    }
+ 408
+ 409    COLUMN_OPERATORS = {
+ 410        TokenType.DOT: None,
+ 411        TokenType.DCOLON: lambda self, this, to: self.expression(
+ 412            exp.Cast if self.STRICT_CAST else exp.TryCast,
+ 413            this=this,
+ 414            to=to,
+ 415        ),
+ 416        TokenType.ARROW: lambda self, this, path: self.expression(
+ 417            exp.JSONExtract,
+ 418            this=this,
+ 419            expression=path,
+ 420        ),
+ 421        TokenType.DARROW: lambda self, this, path: self.expression(
+ 422            exp.JSONExtractScalar,
+ 423            this=this,
+ 424            expression=path,
+ 425        ),
+ 426        TokenType.HASH_ARROW: lambda self, this, path: self.expression(
+ 427            exp.JSONBExtract,
+ 428            this=this,
+ 429            expression=path,
+ 430        ),
+ 431        TokenType.DHASH_ARROW: lambda self, this, path: self.expression(
+ 432            exp.JSONBExtractScalar,
+ 433            this=this,
+ 434            expression=path,
+ 435        ),
+ 436        TokenType.PLACEHOLDER: lambda self, this, key: self.expression(
+ 437            exp.JSONBContains,
+ 438            this=this,
+ 439            expression=key,
+ 440        ),
+ 441    }
+ 442
+ 443    EXPRESSION_PARSERS = {
+ 444        exp.Column: lambda self: self._parse_column(),
+ 445        exp.DataType: lambda self: self._parse_types(),
+ 446        exp.From: lambda self: self._parse_from(),
+ 447        exp.Group: lambda self: self._parse_group(),
+ 448        exp.Identifier: lambda self: self._parse_id_var(),
+ 449        exp.Lateral: lambda self: self._parse_lateral(),
+ 450        exp.Join: lambda self: self._parse_join(),
+ 451        exp.Order: lambda self: self._parse_order(),
+ 452        exp.Cluster: lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
+ 453        exp.Sort: lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
+ 454        exp.Lambda: lambda self: self._parse_lambda(),
+ 455        exp.Limit: lambda self: self._parse_limit(),
+ 456        exp.Offset: lambda self: self._parse_offset(),
+ 457        exp.TableAlias: lambda self: self._parse_table_alias(),
+ 458        exp.Table: lambda self: self._parse_table_parts(),
+ 459        exp.Condition: lambda self: self._parse_conjunction(),
+ 460        exp.Expression: lambda self: self._parse_statement(),
+ 461        exp.Properties: lambda self: self._parse_properties(),
+ 462        exp.Where: lambda self: self._parse_where(),
+ 463        exp.Ordered: lambda self: self._parse_ordered(),
+ 464        exp.Having: lambda self: self._parse_having(),
+ 465        exp.With: lambda self: self._parse_with(),
+ 466        exp.Window: lambda self: self._parse_named_window(),
+ 467        exp.Qualify: lambda self: self._parse_qualify(),
+ 468        exp.Returning: lambda self: self._parse_returning(),
+ 469        "JOIN_TYPE": lambda self: self._parse_join_side_and_kind(),
+ 470    }
+ 471
+ 472    STATEMENT_PARSERS = {
+ 473        TokenType.ALTER: lambda self: self._parse_alter(),
+ 474        TokenType.BEGIN: lambda self: self._parse_transaction(),
+ 475        TokenType.CACHE: lambda self: self._parse_cache(),
+ 476        TokenType.COMMIT: lambda self: self._parse_commit_or_rollback(),
+ 477        TokenType.COMMENT: lambda self: self._parse_comment(),
+ 478        TokenType.CREATE: lambda self: self._parse_create(),
+ 479        TokenType.DELETE: lambda self: self._parse_delete(),
+ 480        TokenType.DESC: lambda self: self._parse_describe(),
+ 481        TokenType.DESCRIBE: lambda self: self._parse_describe(),
+ 482        TokenType.DROP: lambda self: self._parse_drop(),
+ 483        TokenType.END: lambda self: self._parse_commit_or_rollback(),
+ 484        TokenType.INSERT: lambda self: self._parse_insert(),
+ 485        TokenType.LOAD: lambda self: self._parse_load(),
+ 486        TokenType.MERGE: lambda self: self._parse_merge(),
+ 487        TokenType.PRAGMA: lambda self: self.expression(exp.Pragma, this=self._parse_expression()),
+ 488        TokenType.ROLLBACK: lambda self: self._parse_commit_or_rollback(),
+ 489        TokenType.SET: lambda self: self._parse_set(),
+ 490        TokenType.UNCACHE: lambda self: self._parse_uncache(),
+ 491        TokenType.UPDATE: lambda self: self._parse_update(),
+ 492        TokenType.USE: lambda self: self.expression(
+ 493            exp.Use,
+ 494            kind=self._match_texts(("ROLE", "WAREHOUSE", "DATABASE", "SCHEMA"))
+ 495            and exp.Var(this=self._prev.text),
+ 496            this=self._parse_table(schema=False),
+ 497        ),
+ 498    }
+ 499
+ 500    UNARY_PARSERS = {
+ 501        TokenType.PLUS: lambda self: self._parse_unary(),  # Unary + is handled as a no-op
+ 502        TokenType.NOT: lambda self: self.expression(exp.Not, this=self._parse_equality()),
+ 503        TokenType.TILDA: lambda self: self.expression(exp.BitwiseNot, this=self._parse_unary()),
+ 504        TokenType.DASH: lambda self: self.expression(exp.Neg, this=self._parse_unary()),
+ 505    }
+ 506
+ 507    PRIMARY_PARSERS = {
+ 508        TokenType.STRING: lambda self, token: self.expression(
+ 509            exp.Literal, this=token.text, is_string=True
+ 510        ),
+ 511        TokenType.NUMBER: lambda self, token: self.expression(
+ 512            exp.Literal, this=token.text, is_string=False
+ 513        ),
+ 514        TokenType.STAR: lambda self, _: self.expression(
+ 515            exp.Star,
+ 516            **{"except": self._parse_except(), "replace": self._parse_replace()},
+ 517        ),
+ 518        TokenType.NULL: lambda self, _: self.expression(exp.Null),
+ 519        TokenType.TRUE: lambda self, _: self.expression(exp.Boolean, this=True),
+ 520        TokenType.FALSE: lambda self, _: self.expression(exp.Boolean, this=False),
+ 521        TokenType.BIT_STRING: lambda self, token: self.expression(exp.BitString, this=token.text),
+ 522        TokenType.HEX_STRING: lambda self, token: self.expression(exp.HexString, this=token.text),
+ 523        TokenType.BYTE_STRING: lambda self, token: self.expression(exp.ByteString, this=token.text),
+ 524        TokenType.INTRODUCER: lambda self, token: self._parse_introducer(token),
+ 525        TokenType.NATIONAL_STRING: lambda self, token: self.expression(
+ 526            exp.National, this=token.text
+ 527        ),
+ 528        TokenType.RAW_STRING: lambda self, token: self.expression(exp.RawString, this=token.text),
+ 529        TokenType.SESSION_PARAMETER: lambda self, _: self._parse_session_parameter(),
+ 530    }
+ 531
+ 532    PLACEHOLDER_PARSERS = {
+ 533        TokenType.PLACEHOLDER: lambda self: self.expression(exp.Placeholder),
+ 534        TokenType.PARAMETER: lambda self: self._parse_parameter(),
+ 535        TokenType.COLON: lambda self: self.expression(exp.Placeholder, this=self._prev.text)
+ 536        if self._match_set((TokenType.NUMBER, TokenType.VAR))
+ 537        else None,
+ 538    }
+ 539
+ 540    RANGE_PARSERS = {
+ 541        TokenType.BETWEEN: lambda self, this: self._parse_between(this),
+ 542        TokenType.GLOB: binary_range_parser(exp.Glob),
+ 543        TokenType.ILIKE: binary_range_parser(exp.ILike),
+ 544        TokenType.IN: lambda self, this: self._parse_in(this),
+ 545        TokenType.IRLIKE: binary_range_parser(exp.RegexpILike),
+ 546        TokenType.IS: lambda self, this: self._parse_is(this),
+ 547        TokenType.LIKE: binary_range_parser(exp.Like),
+ 548        TokenType.OVERLAPS: binary_range_parser(exp.Overlaps),
+ 549        TokenType.RLIKE: binary_range_parser(exp.RegexpLike),
+ 550        TokenType.SIMILAR_TO: binary_range_parser(exp.SimilarTo),
+ 551    }
+ 552
+ 553    PROPERTY_PARSERS: t.Dict[str, t.Callable] = {
+ 554        "ALGORITHM": lambda self: self._parse_property_assignment(exp.AlgorithmProperty),
+ 555        "AUTO_INCREMENT": lambda self: self._parse_property_assignment(exp.AutoIncrementProperty),
+ 556        "BLOCKCOMPRESSION": lambda self: self._parse_blockcompression(),
+ 557        "CHARACTER SET": lambda self: self._parse_character_set(),
+ 558        "CHECKSUM": lambda self: self._parse_checksum(),
+ 559        "CLUSTER": lambda self: self._parse_cluster(),
+ 560        "COLLATE": lambda self: self._parse_property_assignment(exp.CollateProperty),
+ 561        "COMMENT": lambda self: self._parse_property_assignment(exp.SchemaCommentProperty),
+ 562        "DATABLOCKSIZE": lambda self, **kwargs: self._parse_datablocksize(**kwargs),
+ 563        "DEFINER": lambda self: self._parse_definer(),
+ 564        "DETERMINISTIC": lambda self: self.expression(
+ 565            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
+ 566        ),
+ 567        "DISTKEY": lambda self: self._parse_distkey(),
+ 568        "DISTSTYLE": lambda self: self._parse_property_assignment(exp.DistStyleProperty),
+ 569        "ENGINE": lambda self: self._parse_property_assignment(exp.EngineProperty),
+ 570        "EXECUTE": lambda self: self._parse_property_assignment(exp.ExecuteAsProperty),
+ 571        "EXTERNAL": lambda self: self.expression(exp.ExternalProperty),
+ 572        "FALLBACK": lambda self, **kwargs: self._parse_fallback(**kwargs),
+ 573        "FORMAT": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
+ 574        "FREESPACE": lambda self: self._parse_freespace(),
+ 575        "IMMUTABLE": lambda self: self.expression(
+ 576            exp.StabilityProperty, this=exp.Literal.string("IMMUTABLE")
+ 577        ),
+ 578        "JOURNAL": lambda self, **kwargs: self._parse_journal(**kwargs),
+ 579        "LANGUAGE": lambda self: self._parse_property_assignment(exp.LanguageProperty),
+ 580        "LIKE": lambda self: self._parse_create_like(),
+ 581        "LOCATION": lambda self: self._parse_property_assignment(exp.LocationProperty),
+ 582        "LOCK": lambda self: self._parse_locking(),
+ 583        "LOCKING": lambda self: self._parse_locking(),
+ 584        "LOG": lambda self, **kwargs: self._parse_log(**kwargs),
+ 585        "MATERIALIZED": lambda self: self.expression(exp.MaterializedProperty),
+ 586        "MERGEBLOCKRATIO": lambda self, **kwargs: self._parse_mergeblockratio(**kwargs),
+ 587        "MULTISET": lambda self: self.expression(exp.SetProperty, multi=True),
+ 588        "NO": lambda self: self._parse_no_property(),
+ 589        "ON": lambda self: self._parse_on_property(),
+ 590        "ORDER BY": lambda self: self._parse_order(skip_order_token=True),
+ 591        "PARTITION BY": lambda self: self._parse_partitioned_by(),
+ 592        "PARTITIONED BY": lambda self: self._parse_partitioned_by(),
+ 593        "PARTITIONED_BY": lambda self: self._parse_partitioned_by(),
+ 594        "PRIMARY KEY": lambda self: self._parse_primary_key(),
+ 595        "RETURNS": lambda self: self._parse_returns(),
+ 596        "ROW": lambda self: self._parse_row(),
+ 597        "ROW_FORMAT": lambda self: self._parse_property_assignment(exp.RowFormatProperty),
+ 598        "SET": lambda self: self.expression(exp.SetProperty, multi=False),
+ 599        "SETTINGS": lambda self: self.expression(
+ 600            exp.SettingsProperty, expressions=self._parse_csv(self._parse_set_item)
  601        ),
- 602        "STORED": lambda self: self._parse_stored(),
- 603        "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property),
- 604        "TEMP": lambda self: self.expression(exp.TemporaryProperty),
- 605        "TEMPORARY": lambda self: self.expression(exp.TemporaryProperty),
- 606        "TRANSIENT": lambda self: self.expression(exp.TransientProperty),
- 607        "TTL": lambda self: self._parse_ttl(),
- 608        "USING": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
- 609        "VOLATILE": lambda self: self._parse_volatile_property(),
- 610        "WITH": lambda self: self._parse_with_property(),
- 611    }
- 612
- 613    CONSTRAINT_PARSERS = {
- 614        "AUTOINCREMENT": lambda self: self._parse_auto_increment(),
- 615        "AUTO_INCREMENT": lambda self: self._parse_auto_increment(),
- 616        "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False),
- 617        "CHARACTER SET": lambda self: self.expression(
- 618            exp.CharacterSetColumnConstraint, this=self._parse_var_or_string()
- 619        ),
- 620        "CHECK": lambda self: self.expression(
- 621            exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction)
- 622        ),
- 623        "COLLATE": lambda self: self.expression(
- 624            exp.CollateColumnConstraint, this=self._parse_var()
- 625        ),
- 626        "COMMENT": lambda self: self.expression(
- 627            exp.CommentColumnConstraint, this=self._parse_string()
- 628        ),
- 629        "COMPRESS": lambda self: self._parse_compress(),
- 630        "DEFAULT": lambda self: self.expression(
- 631            exp.DefaultColumnConstraint, this=self._parse_bitwise()
+ 602        "SORTKEY": lambda self: self._parse_sortkey(),
+ 603        "STABLE": lambda self: self.expression(
+ 604            exp.StabilityProperty, this=exp.Literal.string("STABLE")
+ 605        ),
+ 606        "STORED": lambda self: self._parse_stored(),
+ 607        "TBLPROPERTIES": lambda self: self._parse_wrapped_csv(self._parse_property),
+ 608        "TEMP": lambda self: self.expression(exp.TemporaryProperty),
+ 609        "TEMPORARY": lambda self: self.expression(exp.TemporaryProperty),
+ 610        "TRANSIENT": lambda self: self.expression(exp.TransientProperty),
+ 611        "TTL": lambda self: self._parse_ttl(),
+ 612        "USING": lambda self: self._parse_property_assignment(exp.FileFormatProperty),
+ 613        "VOLATILE": lambda self: self._parse_volatile_property(),
+ 614        "WITH": lambda self: self._parse_with_property(),
+ 615    }
+ 616
+ 617    CONSTRAINT_PARSERS = {
+ 618        "AUTOINCREMENT": lambda self: self._parse_auto_increment(),
+ 619        "AUTO_INCREMENT": lambda self: self._parse_auto_increment(),
+ 620        "CASESPECIFIC": lambda self: self.expression(exp.CaseSpecificColumnConstraint, not_=False),
+ 621        "CHARACTER SET": lambda self: self.expression(
+ 622            exp.CharacterSetColumnConstraint, this=self._parse_var_or_string()
+ 623        ),
+ 624        "CHECK": lambda self: self.expression(
+ 625            exp.CheckColumnConstraint, this=self._parse_wrapped(self._parse_conjunction)
+ 626        ),
+ 627        "COLLATE": lambda self: self.expression(
+ 628            exp.CollateColumnConstraint, this=self._parse_var()
+ 629        ),
+ 630        "COMMENT": lambda self: self.expression(
+ 631            exp.CommentColumnConstraint, this=self._parse_string()
  632        ),
- 633        "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()),
- 634        "FOREIGN KEY": lambda self: self._parse_foreign_key(),
- 635        "FORMAT": lambda self: self.expression(
- 636            exp.DateFormatColumnConstraint, this=self._parse_var_or_string()
- 637        ),
- 638        "GENERATED": lambda self: self._parse_generated_as_identity(),
- 639        "IDENTITY": lambda self: self._parse_auto_increment(),
- 640        "INLINE": lambda self: self._parse_inline(),
- 641        "LIKE": lambda self: self._parse_create_like(),
- 642        "NOT": lambda self: self._parse_not_constraint(),
- 643        "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True),
- 644        "ON": lambda self: self._match(TokenType.UPDATE)
- 645        and self.expression(exp.OnUpdateColumnConstraint, this=self._parse_function()),
- 646        "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()),
- 647        "PRIMARY KEY": lambda self: self._parse_primary_key(),
- 648        "REFERENCES": lambda self: self._parse_references(match=False),
- 649        "TITLE": lambda self: self.expression(
- 650            exp.TitleColumnConstraint, this=self._parse_var_or_string()
- 651        ),
- 652        "TTL": lambda self: self.expression(exp.MergeTreeTTL, expressions=[self._parse_bitwise()]),
- 653        "UNIQUE": lambda self: self._parse_unique(),
- 654        "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint),
- 655    }
- 656
- 657    ALTER_PARSERS = {
- 658        "ADD": lambda self: self._parse_alter_table_add(),
- 659        "ALTER": lambda self: self._parse_alter_table_alter(),
- 660        "DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()),
- 661        "DROP": lambda self: self._parse_alter_table_drop(),
- 662        "RENAME": lambda self: self._parse_alter_table_rename(),
- 663    }
- 664
- 665    SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"}
- 666
- 667    NO_PAREN_FUNCTION_PARSERS = {
- 668        TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()),
- 669        TokenType.CASE: lambda self: self._parse_case(),
- 670        TokenType.IF: lambda self: self._parse_if(),
- 671        TokenType.NEXT_VALUE_FOR: lambda self: self.expression(
- 672            exp.NextValueFor,
- 673            this=self._parse_column(),
- 674            order=self._match(TokenType.OVER) and self._parse_wrapped(self._parse_order),
- 675        ),
- 676    }
- 677
- 678    FUNCTION_PARSERS: t.Dict[str, t.Callable] = {
- 679        "CAST": lambda self: self._parse_cast(self.STRICT_CAST),
- 680        "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST),
- 681        "DECODE": lambda self: self._parse_decode(),
- 682        "EXTRACT": lambda self: self._parse_extract(),
- 683        "JSON_OBJECT": lambda self: self._parse_json_object(),
- 684        "LOG": lambda self: self._parse_logarithm(),
- 685        "MATCH": lambda self: self._parse_match_against(),
- 686        "OPENJSON": lambda self: self._parse_open_json(),
- 687        "POSITION": lambda self: self._parse_position(),
- 688        "STRING_AGG": lambda self: self._parse_string_agg(),
- 689        "SUBSTRING": lambda self: self._parse_substring(),
- 690        "STRUCT": lambda self: self._parse_struct(),
- 691        "TRIM": lambda self: self._parse_trim(),
- 692        "TRY_CAST": lambda self: self._parse_cast(False),
- 693        "TRY_CONVERT": lambda self: self._parse_convert(False),
- 694    }
- 695
- 696    QUERY_MODIFIER_PARSERS = {
- 697        "joins": lambda self: list(iter(self._parse_join, None)),
- 698        "laterals": lambda self: list(iter(self._parse_lateral, None)),
- 699        "match": lambda self: self._parse_match_recognize(),
- 700        "where": lambda self: self._parse_where(),
- 701        "group": lambda self: self._parse_group(),
- 702        "having": lambda self: self._parse_having(),
- 703        "qualify": lambda self: self._parse_qualify(),
- 704        "windows": lambda self: self._parse_window_clause(),
- 705        "order": lambda self: self._parse_order(),
- 706        "limit": lambda self: self._parse_limit(),
- 707        "offset": lambda self: self._parse_offset(),
- 708        "locks": lambda self: self._parse_locks(),
- 709        "sample": lambda self: self._parse_table_sample(as_modifier=True),
- 710    }
- 711
- 712    SET_PARSERS = {
- 713        "GLOBAL": lambda self: self._parse_set_item_assignment("GLOBAL"),
- 714        "LOCAL": lambda self: self._parse_set_item_assignment("LOCAL"),
- 715        "SESSION": lambda self: self._parse_set_item_assignment("SESSION"),
- 716        "TRANSACTION": lambda self: self._parse_set_transaction(),
- 717    }
- 718
- 719    SHOW_PARSERS: t.Dict[str, t.Callable] = {}
- 720
- 721    TYPE_LITERAL_PARSERS: t.Dict[exp.DataType.Type, t.Callable] = {}
- 722
- 723    MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table)
+ 633        "COMPRESS": lambda self: self._parse_compress(),
+ 634        "DEFAULT": lambda self: self.expression(
+ 635            exp.DefaultColumnConstraint, this=self._parse_bitwise()
+ 636        ),
+ 637        "ENCODE": lambda self: self.expression(exp.EncodeColumnConstraint, this=self._parse_var()),
+ 638        "FOREIGN KEY": lambda self: self._parse_foreign_key(),
+ 639        "FORMAT": lambda self: self.expression(
+ 640            exp.DateFormatColumnConstraint, this=self._parse_var_or_string()
+ 641        ),
+ 642        "GENERATED": lambda self: self._parse_generated_as_identity(),
+ 643        "IDENTITY": lambda self: self._parse_auto_increment(),
+ 644        "INLINE": lambda self: self._parse_inline(),
+ 645        "LIKE": lambda self: self._parse_create_like(),
+ 646        "NOT": lambda self: self._parse_not_constraint(),
+ 647        "NULL": lambda self: self.expression(exp.NotNullColumnConstraint, allow_null=True),
+ 648        "ON": lambda self: self._match(TokenType.UPDATE)
+ 649        and self.expression(exp.OnUpdateColumnConstraint, this=self._parse_function()),
+ 650        "PATH": lambda self: self.expression(exp.PathColumnConstraint, this=self._parse_string()),
+ 651        "PRIMARY KEY": lambda self: self._parse_primary_key(),
+ 652        "REFERENCES": lambda self: self._parse_references(match=False),
+ 653        "TITLE": lambda self: self.expression(
+ 654            exp.TitleColumnConstraint, this=self._parse_var_or_string()
+ 655        ),
+ 656        "TTL": lambda self: self.expression(exp.MergeTreeTTL, expressions=[self._parse_bitwise()]),
+ 657        "UNIQUE": lambda self: self._parse_unique(),
+ 658        "UPPERCASE": lambda self: self.expression(exp.UppercaseColumnConstraint),
+ 659    }
+ 660
+ 661    ALTER_PARSERS = {
+ 662        "ADD": lambda self: self._parse_alter_table_add(),
+ 663        "ALTER": lambda self: self._parse_alter_table_alter(),
+ 664        "DELETE": lambda self: self.expression(exp.Delete, where=self._parse_where()),
+ 665        "DROP": lambda self: self._parse_alter_table_drop(),
+ 666        "RENAME": lambda self: self._parse_alter_table_rename(),
+ 667    }
+ 668
+ 669    SCHEMA_UNNAMED_CONSTRAINTS = {"CHECK", "FOREIGN KEY", "LIKE", "PRIMARY KEY", "UNIQUE"}
+ 670
+ 671    NO_PAREN_FUNCTION_PARSERS = {
+ 672        TokenType.ANY: lambda self: self.expression(exp.Any, this=self._parse_bitwise()),
+ 673        TokenType.CASE: lambda self: self._parse_case(),
+ 674        TokenType.IF: lambda self: self._parse_if(),
+ 675        TokenType.NEXT_VALUE_FOR: lambda self: self.expression(
+ 676            exp.NextValueFor,
+ 677            this=self._parse_column(),
+ 678            order=self._match(TokenType.OVER) and self._parse_wrapped(self._parse_order),
+ 679        ),
+ 680    }
+ 681
+ 682    FUNCTIONS_WITH_ALIASED_ARGS = {"STRUCT"}
+ 683
+ 684    FUNCTION_PARSERS: t.Dict[str, t.Callable] = {
+ 685        "CAST": lambda self: self._parse_cast(self.STRICT_CAST),
+ 686        "CONVERT": lambda self: self._parse_convert(self.STRICT_CAST),
+ 687        "DECODE": lambda self: self._parse_decode(),
+ 688        "EXTRACT": lambda self: self._parse_extract(),
+ 689        "JSON_OBJECT": lambda self: self._parse_json_object(),
+ 690        "LOG": lambda self: self._parse_logarithm(),
+ 691        "MATCH": lambda self: self._parse_match_against(),
+ 692        "OPENJSON": lambda self: self._parse_open_json(),
+ 693        "POSITION": lambda self: self._parse_position(),
+ 694        "SAFE_CAST": lambda self: self._parse_cast(False),
+ 695        "STRING_AGG": lambda self: self._parse_string_agg(),
+ 696        "SUBSTRING": lambda self: self._parse_substring(),
+ 697        "TRIM": lambda self: self._parse_trim(),
+ 698        "TRY_CAST": lambda self: self._parse_cast(False),
+ 699        "TRY_CONVERT": lambda self: self._parse_convert(False),
+ 700    }
+ 701
+ 702    QUERY_MODIFIER_PARSERS = {
+ 703        "joins": lambda self: list(iter(self._parse_join, None)),
+ 704        "laterals": lambda self: list(iter(self._parse_lateral, None)),
+ 705        "match": lambda self: self._parse_match_recognize(),
+ 706        "where": lambda self: self._parse_where(),
+ 707        "group": lambda self: self._parse_group(),
+ 708        "having": lambda self: self._parse_having(),
+ 709        "qualify": lambda self: self._parse_qualify(),
+ 710        "windows": lambda self: self._parse_window_clause(),
+ 711        "order": lambda self: self._parse_order(),
+ 712        "limit": lambda self: self._parse_limit(),
+ 713        "offset": lambda self: self._parse_offset(),
+ 714        "locks": lambda self: self._parse_locks(),
+ 715        "sample": lambda self: self._parse_table_sample(as_modifier=True),
+ 716    }
+ 717
+ 718    SET_PARSERS = {
+ 719        "GLOBAL": lambda self: self._parse_set_item_assignment("GLOBAL"),
+ 720        "LOCAL": lambda self: self._parse_set_item_assignment("LOCAL"),
+ 721        "SESSION": lambda self: self._parse_set_item_assignment("SESSION"),
+ 722        "TRANSACTION": lambda self: self._parse_set_transaction(),
+ 723    }
  724
- 725    TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"}
+ 725    SHOW_PARSERS: t.Dict[str, t.Callable] = {}
  726
- 727    TRANSACTION_CHARACTERISTICS = {
- 728        "ISOLATION LEVEL REPEATABLE READ",
- 729        "ISOLATION LEVEL READ COMMITTED",
- 730        "ISOLATION LEVEL READ UNCOMMITTED",
- 731        "ISOLATION LEVEL SERIALIZABLE",
- 732        "READ WRITE",
- 733        "READ ONLY",
- 734    }
- 735
- 736    INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"}
- 737
- 738    CLONE_KINDS = {"TIMESTAMP", "OFFSET", "STATEMENT"}
- 739
- 740    WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS}
- 741    WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER}
- 742
- 743    ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY}
- 744
- 745    STRICT_CAST = True
- 746
- 747    CONVERT_TYPE_FIRST = False
+ 727    TYPE_LITERAL_PARSERS: t.Dict[exp.DataType.Type, t.Callable] = {}
+ 728
+ 729    MODIFIABLES = (exp.Subquery, exp.Subqueryable, exp.Table)
+ 730
+ 731    TRANSACTION_KIND = {"DEFERRED", "IMMEDIATE", "EXCLUSIVE"}
+ 732
+ 733    TRANSACTION_CHARACTERISTICS = {
+ 734        "ISOLATION LEVEL REPEATABLE READ",
+ 735        "ISOLATION LEVEL READ COMMITTED",
+ 736        "ISOLATION LEVEL READ UNCOMMITTED",
+ 737        "ISOLATION LEVEL SERIALIZABLE",
+ 738        "READ WRITE",
+ 739        "READ ONLY",
+ 740    }
+ 741
+ 742    INSERT_ALTERNATIVES = {"ABORT", "FAIL", "IGNORE", "REPLACE", "ROLLBACK"}
+ 743
+ 744    CLONE_KINDS = {"TIMESTAMP", "OFFSET", "STATEMENT"}
+ 745
+ 746    WINDOW_ALIAS_TOKENS = ID_VAR_TOKENS - {TokenType.ROWS}
+ 747    WINDOW_BEFORE_PAREN_TOKENS = {TokenType.OVER}
  748
- 749    PREFIXED_PIVOT_COLUMNS = False
- 750    IDENTIFY_PIVOT_STRINGS = False
- 751
- 752    LOG_BASE_FIRST = True
- 753    LOG_DEFAULTS_TO_LN = False
+ 749    ADD_CONSTRAINT_TOKENS = {TokenType.CONSTRAINT, TokenType.PRIMARY_KEY, TokenType.FOREIGN_KEY}
+ 750
+ 751    STRICT_CAST = True
+ 752
+ 753    CONVERT_TYPE_FIRST = False
  754
- 755    __slots__ = (
- 756        "error_level",
- 757        "error_message_context",
- 758        "sql",
- 759        "errors",
- 760        "index_offset",
- 761        "unnest_column_only",
- 762        "alias_post_tablesample",
- 763        "max_errors",
- 764        "null_ordering",
- 765        "_tokens",
- 766        "_index",
- 767        "_curr",
- 768        "_next",
- 769        "_prev",
- 770        "_prev_comments",
- 771        "_show_trie",
- 772        "_set_trie",
- 773    )
- 774
- 775    def __init__(
- 776        self,
- 777        error_level: t.Optional[ErrorLevel] = None,
- 778        error_message_context: int = 100,
- 779        index_offset: int = 0,
- 780        unnest_column_only: bool = False,
- 781        alias_post_tablesample: bool = False,
- 782        max_errors: int = 3,
- 783        null_ordering: t.Optional[str] = None,
- 784    ):
- 785        self.error_level = error_level or ErrorLevel.IMMEDIATE
- 786        self.error_message_context = error_message_context
- 787        self.index_offset = index_offset
- 788        self.unnest_column_only = unnest_column_only
- 789        self.alias_post_tablesample = alias_post_tablesample
- 790        self.max_errors = max_errors
- 791        self.null_ordering = null_ordering
- 792        self.reset()
- 793
- 794    def reset(self):
- 795        self.sql = ""
- 796        self.errors = []
- 797        self._tokens = []
- 798        self._index = 0
- 799        self._curr = None
- 800        self._next = None
- 801        self._prev = None
- 802        self._prev_comments = None
- 803
- 804    def parse(
- 805        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
- 806    ) -> t.List[t.Optional[exp.Expression]]:
- 807        """
- 808        Parses a list of tokens and returns a list of syntax trees, one tree
- 809        per parsed SQL statement.
- 810
- 811        Args:
- 812            raw_tokens: the list of tokens.
- 813            sql: the original SQL string, used to produce helpful debug messages.
- 814
- 815        Returns:
- 816            The list of syntax trees.
- 817        """
- 818        return self._parse(
- 819            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
- 820        )
- 821
- 822    def parse_into(
- 823        self,
- 824        expression_types: exp.IntoType,
- 825        raw_tokens: t.List[Token],
- 826        sql: t.Optional[str] = None,
- 827    ) -> t.List[t.Optional[exp.Expression]]:
- 828        """
- 829        Parses a list of tokens into a given Expression type. If a collection of Expression
- 830        types is given instead, this method will try to parse the token list into each one
- 831        of them, stopping at the first for which the parsing succeeds.
- 832
- 833        Args:
- 834            expression_types: the expression type(s) to try and parse the token list into.
- 835            raw_tokens: the list of tokens.
- 836            sql: the original SQL string, used to produce helpful debug messages.
- 837
- 838        Returns:
- 839            The target Expression.
- 840        """
- 841        errors = []
- 842        for expression_type in ensure_collection(expression_types):
- 843            parser = self.EXPRESSION_PARSERS.get(expression_type)
- 844            if not parser:
- 845                raise TypeError(f"No parser registered for {expression_type}")
- 846            try:
- 847                return self._parse(parser, raw_tokens, sql)
- 848            except ParseError as e:
- 849                e.errors[0]["into_expression"] = expression_type
- 850                errors.append(e)
- 851        raise ParseError(
- 852            f"Failed to parse into {expression_types}",
- 853            errors=merge_errors(errors),
- 854        ) from errors[-1]
- 855
- 856    def _parse(
- 857        self,
- 858        parse_method: t.Callable[[Parser], t.Optional[exp.Expression]],
- 859        raw_tokens: t.List[Token],
- 860        sql: t.Optional[str] = None,
- 861    ) -> t.List[t.Optional[exp.Expression]]:
- 862        self.reset()
- 863        self.sql = sql or ""
- 864        total = len(raw_tokens)
- 865        chunks: t.List[t.List[Token]] = [[]]
- 866
- 867        for i, token in enumerate(raw_tokens):
- 868            if token.token_type == TokenType.SEMICOLON:
- 869                if i < total - 1:
- 870                    chunks.append([])
- 871            else:
- 872                chunks[-1].append(token)
- 873
- 874        expressions = []
- 875
- 876        for tokens in chunks:
- 877            self._index = -1
- 878            self._tokens = tokens
- 879            self._advance()
- 880
- 881            expressions.append(parse_method(self))
- 882
- 883            if self._index < len(self._tokens):
- 884                self.raise_error("Invalid expression / Unexpected token")
- 885
- 886            self.check_errors()
- 887
- 888        return expressions
- 889
- 890    def check_errors(self) -> None:
- 891        """
- 892        Logs or raises any found errors, depending on the chosen error level setting.
- 893        """
- 894        if self.error_level == ErrorLevel.WARN:
- 895            for error in self.errors:
- 896                logger.error(str(error))
- 897        elif self.error_level == ErrorLevel.RAISE and self.errors:
- 898            raise ParseError(
- 899                concat_messages(self.errors, self.max_errors),
- 900                errors=merge_errors(self.errors),
- 901            )
- 902
- 903    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
- 904        """
- 905        Appends an error in the list of recorded errors or raises it, depending on the chosen
- 906        error level setting.
- 907        """
- 908        token = token or self._curr or self._prev or Token.string("")
- 909        start = token.start
- 910        end = token.end + 1
- 911        start_context = self.sql[max(start - self.error_message_context, 0) : start]
- 912        highlight = self.sql[start:end]
- 913        end_context = self.sql[end : end + self.error_message_context]
- 914
- 915        error = ParseError.new(
- 916            f"{message}. Line {token.line}, Col: {token.col}.\n"
- 917            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
- 918            description=message,
- 919            line=token.line,
- 920            col=token.col,
- 921            start_context=start_context,
- 922            highlight=highlight,
- 923            end_context=end_context,
- 924        )
- 925
- 926        if self.error_level == ErrorLevel.IMMEDIATE:
- 927            raise error
- 928
- 929        self.errors.append(error)
- 930
- 931    def expression(
- 932        self, exp_class: t.Type[E], comments: t.Optional[t.List[str]] = None, **kwargs
- 933    ) -> E:
- 934        """
- 935        Creates a new, validated Expression.
+ 755    PREFIXED_PIVOT_COLUMNS = False
+ 756    IDENTIFY_PIVOT_STRINGS = False
+ 757
+ 758    LOG_BASE_FIRST = True
+ 759    LOG_DEFAULTS_TO_LN = False
+ 760
+ 761    __slots__ = (
+ 762        "error_level",
+ 763        "error_message_context",
+ 764        "sql",
+ 765        "errors",
+ 766        "index_offset",
+ 767        "unnest_column_only",
+ 768        "alias_post_tablesample",
+ 769        "max_errors",
+ 770        "null_ordering",
+ 771        "_tokens",
+ 772        "_index",
+ 773        "_curr",
+ 774        "_next",
+ 775        "_prev",
+ 776        "_prev_comments",
+ 777        "_show_trie",
+ 778        "_set_trie",
+ 779    )
+ 780
+ 781    def __init__(
+ 782        self,
+ 783        error_level: t.Optional[ErrorLevel] = None,
+ 784        error_message_context: int = 100,
+ 785        index_offset: int = 0,
+ 786        unnest_column_only: bool = False,
+ 787        alias_post_tablesample: bool = False,
+ 788        max_errors: int = 3,
+ 789        null_ordering: t.Optional[str] = None,
+ 790    ):
+ 791        self.error_level = error_level or ErrorLevel.IMMEDIATE
+ 792        self.error_message_context = error_message_context
+ 793        self.index_offset = index_offset
+ 794        self.unnest_column_only = unnest_column_only
+ 795        self.alias_post_tablesample = alias_post_tablesample
+ 796        self.max_errors = max_errors
+ 797        self.null_ordering = null_ordering
+ 798        self.reset()
+ 799
+ 800    def reset(self):
+ 801        self.sql = ""
+ 802        self.errors = []
+ 803        self._tokens = []
+ 804        self._index = 0
+ 805        self._curr = None
+ 806        self._next = None
+ 807        self._prev = None
+ 808        self._prev_comments = None
+ 809
+ 810    def parse(
+ 811        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
+ 812    ) -> t.List[t.Optional[exp.Expression]]:
+ 813        """
+ 814        Parses a list of tokens and returns a list of syntax trees, one tree
+ 815        per parsed SQL statement.
+ 816
+ 817        Args:
+ 818            raw_tokens: the list of tokens.
+ 819            sql: the original SQL string, used to produce helpful debug messages.
+ 820
+ 821        Returns:
+ 822            The list of syntax trees.
+ 823        """
+ 824        return self._parse(
+ 825            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
+ 826        )
+ 827
+ 828    def parse_into(
+ 829        self,
+ 830        expression_types: exp.IntoType,
+ 831        raw_tokens: t.List[Token],
+ 832        sql: t.Optional[str] = None,
+ 833    ) -> t.List[t.Optional[exp.Expression]]:
+ 834        """
+ 835        Parses a list of tokens into a given Expression type. If a collection of Expression
+ 836        types is given instead, this method will try to parse the token list into each one
+ 837        of them, stopping at the first for which the parsing succeeds.
+ 838
+ 839        Args:
+ 840            expression_types: the expression type(s) to try and parse the token list into.
+ 841            raw_tokens: the list of tokens.
+ 842            sql: the original SQL string, used to produce helpful debug messages.
+ 843
+ 844        Returns:
+ 845            The target Expression.
+ 846        """
+ 847        errors = []
+ 848        for expression_type in ensure_collection(expression_types):
+ 849            parser = self.EXPRESSION_PARSERS.get(expression_type)
+ 850            if not parser:
+ 851                raise TypeError(f"No parser registered for {expression_type}")
+ 852            try:
+ 853                return self._parse(parser, raw_tokens, sql)
+ 854            except ParseError as e:
+ 855                e.errors[0]["into_expression"] = expression_type
+ 856                errors.append(e)
+ 857        raise ParseError(
+ 858            f"Failed to parse into {expression_types}",
+ 859            errors=merge_errors(errors),
+ 860        ) from errors[-1]
+ 861
+ 862    def _parse(
+ 863        self,
+ 864        parse_method: t.Callable[[Parser], t.Optional[exp.Expression]],
+ 865        raw_tokens: t.List[Token],
+ 866        sql: t.Optional[str] = None,
+ 867    ) -> t.List[t.Optional[exp.Expression]]:
+ 868        self.reset()
+ 869        self.sql = sql or ""
+ 870        total = len(raw_tokens)
+ 871        chunks: t.List[t.List[Token]] = [[]]
+ 872
+ 873        for i, token in enumerate(raw_tokens):
+ 874            if token.token_type == TokenType.SEMICOLON:
+ 875                if i < total - 1:
+ 876                    chunks.append([])
+ 877            else:
+ 878                chunks[-1].append(token)
+ 879
+ 880        expressions = []
+ 881
+ 882        for tokens in chunks:
+ 883            self._index = -1
+ 884            self._tokens = tokens
+ 885            self._advance()
+ 886
+ 887            expressions.append(parse_method(self))
+ 888
+ 889            if self._index < len(self._tokens):
+ 890                self.raise_error("Invalid expression / Unexpected token")
+ 891
+ 892            self.check_errors()
+ 893
+ 894        return expressions
+ 895
+ 896    def check_errors(self) -> None:
+ 897        """
+ 898        Logs or raises any found errors, depending on the chosen error level setting.
+ 899        """
+ 900        if self.error_level == ErrorLevel.WARN:
+ 901            for error in self.errors:
+ 902                logger.error(str(error))
+ 903        elif self.error_level == ErrorLevel.RAISE and self.errors:
+ 904            raise ParseError(
+ 905                concat_messages(self.errors, self.max_errors),
+ 906                errors=merge_errors(self.errors),
+ 907            )
+ 908
+ 909    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
+ 910        """
+ 911        Appends an error in the list of recorded errors or raises it, depending on the chosen
+ 912        error level setting.
+ 913        """
+ 914        token = token or self._curr or self._prev or Token.string("")
+ 915        start = token.start
+ 916        end = token.end + 1
+ 917        start_context = self.sql[max(start - self.error_message_context, 0) : start]
+ 918        highlight = self.sql[start:end]
+ 919        end_context = self.sql[end : end + self.error_message_context]
+ 920
+ 921        error = ParseError.new(
+ 922            f"{message}. Line {token.line}, Col: {token.col}.\n"
+ 923            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
+ 924            description=message,
+ 925            line=token.line,
+ 926            col=token.col,
+ 927            start_context=start_context,
+ 928            highlight=highlight,
+ 929            end_context=end_context,
+ 930        )
+ 931
+ 932        if self.error_level == ErrorLevel.IMMEDIATE:
+ 933            raise error
+ 934
+ 935        self.errors.append(error)
  936
- 937        Args:
- 938            exp_class: the expression class to instantiate.
- 939            comments: an optional list of comments to attach to the expression.
- 940            kwargs: the arguments to set for the expression along with their respective values.
- 941
- 942        Returns:
- 943            The target expression.
- 944        """
- 945        instance = exp_class(**kwargs)
- 946        instance.add_comments(comments) if comments else self._add_comments(instance)
- 947        self.validate_expression(instance)
- 948        return instance
- 949
- 950    def _add_comments(self, expression: t.Optional[exp.Expression]) -> None:
- 951        if expression and self._prev_comments:
- 952            expression.add_comments(self._prev_comments)
- 953            self._prev_comments = None
- 954
- 955    def validate_expression(
- 956        self, expression: exp.Expression, args: t.Optional[t.List] = None
- 957    ) -> None:
- 958        """
- 959        Validates an already instantiated expression, making sure that all its mandatory arguments
- 960        are set.
- 961
- 962        Args:
- 963            expression: the expression to validate.
- 964            args: an optional list of items that was used to instantiate the expression, if it's a Func.
- 965        """
- 966        if self.error_level == ErrorLevel.IGNORE:
- 967            return
- 968
- 969        for error_message in expression.error_messages(args):
- 970            self.raise_error(error_message)
- 971
- 972    def _find_sql(self, start: Token, end: Token) -> str:
- 973        return self.sql[start.start : end.end + 1]
+ 937    def expression(
+ 938        self, exp_class: t.Type[E], comments: t.Optional[t.List[str]] = None, **kwargs
+ 939    ) -> E:
+ 940        """
+ 941        Creates a new, validated Expression.
+ 942
+ 943        Args:
+ 944            exp_class: the expression class to instantiate.
+ 945            comments: an optional list of comments to attach to the expression.
+ 946            kwargs: the arguments to set for the expression along with their respective values.
+ 947
+ 948        Returns:
+ 949            The target expression.
+ 950        """
+ 951        instance = exp_class(**kwargs)
+ 952        instance.add_comments(comments) if comments else self._add_comments(instance)
+ 953        self.validate_expression(instance)
+ 954        return instance
+ 955
+ 956    def _add_comments(self, expression: t.Optional[exp.Expression]) -> None:
+ 957        if expression and self._prev_comments:
+ 958            expression.add_comments(self._prev_comments)
+ 959            self._prev_comments = None
+ 960
+ 961    def validate_expression(
+ 962        self, expression: exp.Expression, args: t.Optional[t.List] = None
+ 963    ) -> None:
+ 964        """
+ 965        Validates an already instantiated expression, making sure that all its mandatory arguments
+ 966        are set.
+ 967
+ 968        Args:
+ 969            expression: the expression to validate.
+ 970            args: an optional list of items that was used to instantiate the expression, if it's a Func.
+ 971        """
+ 972        if self.error_level == ErrorLevel.IGNORE:
+ 973            return
  974
- 975    def _advance(self, times: int = 1) -> None:
- 976        self._index += times
- 977        self._curr = seq_get(self._tokens, self._index)
- 978        self._next = seq_get(self._tokens, self._index + 1)
- 979        if self._index > 0:
- 980            self._prev = self._tokens[self._index - 1]
- 981            self._prev_comments = self._prev.comments
- 982        else:
- 983            self._prev = None
- 984            self._prev_comments = None
- 985
- 986    def _retreat(self, index: int) -> None:
- 987        if index != self._index:
- 988            self._advance(index - self._index)
- 989
- 990    def _parse_command(self) -> exp.Command:
- 991        return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string())
- 992
- 993    def _parse_comment(self, allow_exists: bool = True) -> exp.Expression:
- 994        start = self._prev
- 995        exists = self._parse_exists() if allow_exists else None
- 996
- 997        self._match(TokenType.ON)
+ 975        for error_message in expression.error_messages(args):
+ 976            self.raise_error(error_message)
+ 977
+ 978    def _find_sql(self, start: Token, end: Token) -> str:
+ 979        return self.sql[start.start : end.end + 1]
+ 980
+ 981    def _advance(self, times: int = 1) -> None:
+ 982        self._index += times
+ 983        self._curr = seq_get(self._tokens, self._index)
+ 984        self._next = seq_get(self._tokens, self._index + 1)
+ 985        if self._index > 0:
+ 986            self._prev = self._tokens[self._index - 1]
+ 987            self._prev_comments = self._prev.comments
+ 988        else:
+ 989            self._prev = None
+ 990            self._prev_comments = None
+ 991
+ 992    def _retreat(self, index: int) -> None:
+ 993        if index != self._index:
+ 994            self._advance(index - self._index)
+ 995
+ 996    def _parse_command(self) -> exp.Command:
+ 997        return self.expression(exp.Command, this=self._prev.text, expression=self._parse_string())
  998
- 999        kind = self._match_set(self.CREATABLES) and self._prev
-1000
-1001        if not kind:
-1002            return self._parse_as_command(start)
-1003
-1004        if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
-1005            this = self._parse_user_defined_function(kind=kind.token_type)
-1006        elif kind.token_type == TokenType.TABLE:
-1007            this = self._parse_table(alias_tokens=self.COMMENT_TABLE_ALIAS_TOKENS)
-1008        elif kind.token_type == TokenType.COLUMN:
-1009            this = self._parse_column()
-1010        else:
-1011            this = self._parse_id_var()
-1012
-1013        self._match(TokenType.IS)
-1014
-1015        return self.expression(
-1016            exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists
-1017        )
+ 999    def _parse_comment(self, allow_exists: bool = True) -> exp.Expression:
+1000        start = self._prev
+1001        exists = self._parse_exists() if allow_exists else None
+1002
+1003        self._match(TokenType.ON)
+1004
+1005        kind = self._match_set(self.CREATABLES) and self._prev
+1006
+1007        if not kind:
+1008            return self._parse_as_command(start)
+1009
+1010        if kind.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
+1011            this = self._parse_user_defined_function(kind=kind.token_type)
+1012        elif kind.token_type == TokenType.TABLE:
+1013            this = self._parse_table(alias_tokens=self.COMMENT_TABLE_ALIAS_TOKENS)
+1014        elif kind.token_type == TokenType.COLUMN:
+1015            this = self._parse_column()
+1016        else:
+1017            this = self._parse_id_var()
 1018
-1019    # https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl
-1020    def _parse_ttl(self) -> exp.Expression:
-1021        def _parse_ttl_action() -> t.Optional[exp.Expression]:
-1022            this = self._parse_bitwise()
-1023
-1024            if self._match_text_seq("DELETE"):
-1025                return self.expression(exp.MergeTreeTTLAction, this=this, delete=True)
-1026            if self._match_text_seq("RECOMPRESS"):
-1027                return self.expression(
-1028                    exp.MergeTreeTTLAction, this=this, recompress=self._parse_bitwise()
-1029                )
-1030            if self._match_text_seq("TO", "DISK"):
-1031                return self.expression(
-1032                    exp.MergeTreeTTLAction, this=this, to_disk=self._parse_string()
-1033                )
-1034            if self._match_text_seq("TO", "VOLUME"):
-1035                return self.expression(
-1036                    exp.MergeTreeTTLAction, this=this, to_volume=self._parse_string()
-1037                )
-1038
-1039            return this
-1040
-1041        expressions = self._parse_csv(_parse_ttl_action)
-1042        where = self._parse_where()
-1043        group = self._parse_group()
+1019        self._match(TokenType.IS)
+1020
+1021        return self.expression(
+1022            exp.Comment, this=this, kind=kind.text, expression=self._parse_string(), exists=exists
+1023        )
+1024
+1025    # https://clickhouse.com/docs/en/engines/table-engines/mergetree-family/mergetree#mergetree-table-ttl
+1026    def _parse_ttl(self) -> exp.Expression:
+1027        def _parse_ttl_action() -> t.Optional[exp.Expression]:
+1028            this = self._parse_bitwise()
+1029
+1030            if self._match_text_seq("DELETE"):
+1031                return self.expression(exp.MergeTreeTTLAction, this=this, delete=True)
+1032            if self._match_text_seq("RECOMPRESS"):
+1033                return self.expression(
+1034                    exp.MergeTreeTTLAction, this=this, recompress=self._parse_bitwise()
+1035                )
+1036            if self._match_text_seq("TO", "DISK"):
+1037                return self.expression(
+1038                    exp.MergeTreeTTLAction, this=this, to_disk=self._parse_string()
+1039                )
+1040            if self._match_text_seq("TO", "VOLUME"):
+1041                return self.expression(
+1042                    exp.MergeTreeTTLAction, this=this, to_volume=self._parse_string()
+1043                )
 1044
-1045        aggregates = None
-1046        if group and self._match(TokenType.SET):
-1047            aggregates = self._parse_csv(self._parse_set_item)
-1048
-1049        return self.expression(
-1050            exp.MergeTreeTTL,
-1051            expressions=expressions,
-1052            where=where,
-1053            group=group,
-1054            aggregates=aggregates,
-1055        )
-1056
-1057    def _parse_statement(self) -> t.Optional[exp.Expression]:
-1058        if self._curr is None:
-1059            return None
-1060
-1061        if self._match_set(self.STATEMENT_PARSERS):
-1062            return self.STATEMENT_PARSERS[self._prev.token_type](self)
-1063
-1064        if self._match_set(Tokenizer.COMMANDS):
-1065            return self._parse_command()
+1045            return this
+1046
+1047        expressions = self._parse_csv(_parse_ttl_action)
+1048        where = self._parse_where()
+1049        group = self._parse_group()
+1050
+1051        aggregates = None
+1052        if group and self._match(TokenType.SET):
+1053            aggregates = self._parse_csv(self._parse_set_item)
+1054
+1055        return self.expression(
+1056            exp.MergeTreeTTL,
+1057            expressions=expressions,
+1058            where=where,
+1059            group=group,
+1060            aggregates=aggregates,
+1061        )
+1062
+1063    def _parse_statement(self) -> t.Optional[exp.Expression]:
+1064        if self._curr is None:
+1065            return None
 1066
-1067        expression = self._parse_expression()
-1068        expression = self._parse_set_operations(expression) if expression else self._parse_select()
-1069        return self._parse_query_modifiers(expression)
-1070
-1071    def _parse_drop(self) -> t.Optional[exp.Drop | exp.Command]:
-1072        start = self._prev
-1073        temporary = self._match(TokenType.TEMPORARY)
-1074        materialized = self._match_text_seq("MATERIALIZED")
-1075        kind = self._match_set(self.CREATABLES) and self._prev.text
-1076        if not kind:
-1077            return self._parse_as_command(start)
-1078
-1079        return self.expression(
-1080            exp.Drop,
-1081            exists=self._parse_exists(),
-1082            this=self._parse_table(schema=True),
-1083            kind=kind,
-1084            temporary=temporary,
-1085            materialized=materialized,
-1086            cascade=self._match_text_seq("CASCADE"),
-1087            constraints=self._match_text_seq("CONSTRAINTS"),
-1088            purge=self._match_text_seq("PURGE"),
-1089        )
-1090
-1091    def _parse_exists(self, not_: bool = False) -> t.Optional[bool]:
-1092        return (
-1093            self._match(TokenType.IF)
-1094            and (not not_ or self._match(TokenType.NOT))
-1095            and self._match(TokenType.EXISTS)
-1096        )
-1097
-1098    def _parse_create(self) -> t.Optional[exp.Expression]:
-1099        start = self._prev
-1100        replace = self._prev.text.upper() == "REPLACE" or self._match_pair(
-1101            TokenType.OR, TokenType.REPLACE
+1067        if self._match_set(self.STATEMENT_PARSERS):
+1068            return self.STATEMENT_PARSERS[self._prev.token_type](self)
+1069
+1070        if self._match_set(Tokenizer.COMMANDS):
+1071            return self._parse_command()
+1072
+1073        expression = self._parse_expression()
+1074        expression = self._parse_set_operations(expression) if expression else self._parse_select()
+1075        return self._parse_query_modifiers(expression)
+1076
+1077    def _parse_drop(self) -> t.Optional[exp.Drop | exp.Command]:
+1078        start = self._prev
+1079        temporary = self._match(TokenType.TEMPORARY)
+1080        materialized = self._match_text_seq("MATERIALIZED")
+1081        kind = self._match_set(self.CREATABLES) and self._prev.text
+1082        if not kind:
+1083            return self._parse_as_command(start)
+1084
+1085        return self.expression(
+1086            exp.Drop,
+1087            exists=self._parse_exists(),
+1088            this=self._parse_table(schema=True),
+1089            kind=kind,
+1090            temporary=temporary,
+1091            materialized=materialized,
+1092            cascade=self._match_text_seq("CASCADE"),
+1093            constraints=self._match_text_seq("CONSTRAINTS"),
+1094            purge=self._match_text_seq("PURGE"),
+1095        )
+1096
+1097    def _parse_exists(self, not_: bool = False) -> t.Optional[bool]:
+1098        return (
+1099            self._match(TokenType.IF)
+1100            and (not not_ or self._match(TokenType.NOT))
+1101            and self._match(TokenType.EXISTS)
 1102        )
-1103        unique = self._match(TokenType.UNIQUE)
-1104
-1105        if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False):
-1106            self._match(TokenType.TABLE)
-1107
-1108        properties = None
-1109        create_token = self._match_set(self.CREATABLES) and self._prev
+1103
+1104    def _parse_create(self) -> t.Optional[exp.Expression]:
+1105        start = self._prev
+1106        replace = self._prev.text.upper() == "REPLACE" or self._match_pair(
+1107            TokenType.OR, TokenType.REPLACE
+1108        )
+1109        unique = self._match(TokenType.UNIQUE)
 1110
-1111        if not create_token:
-1112            properties = self._parse_properties()  # exp.Properties.Location.POST_CREATE
-1113            create_token = self._match_set(self.CREATABLES) and self._prev
-1114
-1115            if not properties or not create_token:
-1116                return self._parse_as_command(start)
-1117
-1118        exists = self._parse_exists(not_=True)
-1119        this = None
-1120        expression = None
-1121        indexes = None
-1122        no_schema_binding = None
-1123        begin = None
-1124        clone = None
-1125
-1126        if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
-1127            this = self._parse_user_defined_function(kind=create_token.token_type)
-1128            temp_properties = self._parse_properties()
-1129            if properties and temp_properties:
-1130                properties.expressions.extend(temp_properties.expressions)
-1131            elif temp_properties:
-1132                properties = temp_properties
-1133
-1134            self._match(TokenType.ALIAS)
-1135            begin = self._match(TokenType.BEGIN)
-1136            return_ = self._match_text_seq("RETURN")
-1137            expression = self._parse_statement()
-1138
-1139            if return_:
-1140                expression = self.expression(exp.Return, this=expression)
-1141        elif create_token.token_type == TokenType.INDEX:
-1142            this = self._parse_index()
-1143        elif create_token.token_type in self.DB_CREATABLES:
-1144            table_parts = self._parse_table_parts(schema=True)
-1145
-1146            # exp.Properties.Location.POST_NAME
-1147            if self._match(TokenType.COMMA):
-1148                temp_properties = self._parse_properties(before=True)
-1149                if properties and temp_properties:
-1150                    properties.expressions.extend(temp_properties.expressions)
-1151                elif temp_properties:
-1152                    properties = temp_properties
-1153
-1154            this = self._parse_schema(this=table_parts)
-1155
-1156            # exp.Properties.Location.POST_SCHEMA and POST_WITH
-1157            temp_properties = self._parse_properties()
-1158            if properties and temp_properties:
-1159                properties.expressions.extend(temp_properties.expressions)
-1160            elif temp_properties:
-1161                properties = temp_properties
-1162
-1163            self._match(TokenType.ALIAS)
-1164
-1165            # exp.Properties.Location.POST_ALIAS
-1166            if not (
-1167                self._match(TokenType.SELECT, advance=False)
-1168                or self._match(TokenType.WITH, advance=False)
-1169                or self._match(TokenType.L_PAREN, advance=False)
-1170            ):
-1171                temp_properties = self._parse_properties()
-1172                if properties and temp_properties:
-1173                    properties.expressions.extend(temp_properties.expressions)
-1174                elif temp_properties:
-1175                    properties = temp_properties
-1176
-1177            expression = self._parse_ddl_select()
-1178
-1179            if create_token.token_type == TokenType.TABLE:
-1180                indexes = []
-1181                while True:
-1182                    index = self._parse_create_table_index()
-1183
-1184                    # exp.Properties.Location.POST_EXPRESSION or exp.Properties.Location.POST_INDEX
-1185                    temp_properties = self._parse_properties()
-1186                    if properties and temp_properties:
-1187                        properties.expressions.extend(temp_properties.expressions)
-1188                    elif temp_properties:
-1189                        properties = temp_properties
-1190
-1191                    if not index:
-1192                        break
-1193                    else:
-1194                        self._match(TokenType.COMMA)
-1195                        indexes.append(index)
-1196            elif create_token.token_type == TokenType.VIEW:
-1197                if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"):
-1198                    no_schema_binding = True
-1199
-1200            if self._match_text_seq("CLONE"):
-1201                clone = self._parse_table(schema=True)
-1202                when = self._match_texts({"AT", "BEFORE"}) and self._prev.text.upper()
-1203                clone_kind = (
-1204                    self._match(TokenType.L_PAREN)
-1205                    and self._match_texts(self.CLONE_KINDS)
-1206                    and self._prev.text.upper()
-1207                )
-1208                clone_expression = self._match(TokenType.FARROW) and self._parse_bitwise()
-1209                self._match(TokenType.R_PAREN)
-1210                clone = self.expression(
-1211                    exp.Clone, this=clone, when=when, kind=clone_kind, expression=clone_expression
-1212                )
-1213
-1214        return self.expression(
-1215            exp.Create,
-1216            this=this,
-1217            kind=create_token.text,
-1218            replace=replace,
-1219            unique=unique,
-1220            expression=expression,
-1221            exists=exists,
-1222            properties=properties,
-1223            indexes=indexes,
-1224            no_schema_binding=no_schema_binding,
-1225            begin=begin,
-1226            clone=clone,
-1227        )
-1228
-1229    def _parse_property_before(self) -> t.Optional[exp.Expression]:
-1230        # only used for teradata currently
-1231        self._match(TokenType.COMMA)
-1232
-1233        kwargs = {
-1234            "no": self._match_text_seq("NO"),
-1235            "dual": self._match_text_seq("DUAL"),
-1236            "before": self._match_text_seq("BEFORE"),
-1237            "default": self._match_text_seq("DEFAULT"),
-1238            "local": (self._match_text_seq("LOCAL") and "LOCAL")
-1239            or (self._match_text_seq("NOT", "LOCAL") and "NOT LOCAL"),
-1240            "after": self._match_text_seq("AFTER"),
-1241            "minimum": self._match_texts(("MIN", "MINIMUM")),
-1242            "maximum": self._match_texts(("MAX", "MAXIMUM")),
-1243        }
-1244
-1245        if self._match_texts(self.PROPERTY_PARSERS):
-1246            parser = self.PROPERTY_PARSERS[self._prev.text.upper()]
-1247            try:
-1248                return parser(self, **{k: v for k, v in kwargs.items() if v})
-1249            except TypeError:
-1250                self.raise_error(f"Cannot parse property '{self._prev.text}'")
-1251
-1252        return None
-1253
-1254    def _parse_property(self) -> t.Optional[exp.Expression]:
-1255        if self._match_texts(self.PROPERTY_PARSERS):
-1256            return self.PROPERTY_PARSERS[self._prev.text.upper()](self)
+1111        if self._match_pair(TokenType.TABLE, TokenType.FUNCTION, advance=False):
+1112            self._match(TokenType.TABLE)
+1113
+1114        properties = None
+1115        create_token = self._match_set(self.CREATABLES) and self._prev
+1116
+1117        if not create_token:
+1118            properties = self._parse_properties()  # exp.Properties.Location.POST_CREATE
+1119            create_token = self._match_set(self.CREATABLES) and self._prev
+1120
+1121            if not properties or not create_token:
+1122                return self._parse_as_command(start)
+1123
+1124        exists = self._parse_exists(not_=True)
+1125        this = None
+1126        expression = None
+1127        indexes = None
+1128        no_schema_binding = None
+1129        begin = None
+1130        clone = None
+1131
+1132        if create_token.token_type in (TokenType.FUNCTION, TokenType.PROCEDURE):
+1133            this = self._parse_user_defined_function(kind=create_token.token_type)
+1134            temp_properties = self._parse_properties()
+1135            if properties and temp_properties:
+1136                properties.expressions.extend(temp_properties.expressions)
+1137            elif temp_properties:
+1138                properties = temp_properties
+1139
+1140            self._match(TokenType.ALIAS)
+1141            begin = self._match(TokenType.BEGIN)
+1142            return_ = self._match_text_seq("RETURN")
+1143            expression = self._parse_statement()
+1144
+1145            if return_:
+1146                expression = self.expression(exp.Return, this=expression)
+1147        elif create_token.token_type == TokenType.INDEX:
+1148            this = self._parse_index(index=self._parse_id_var())
+1149        elif create_token.token_type in self.DB_CREATABLES:
+1150            table_parts = self._parse_table_parts(schema=True)
+1151
+1152            # exp.Properties.Location.POST_NAME
+1153            if self._match(TokenType.COMMA):
+1154                temp_properties = self._parse_properties(before=True)
+1155                if properties and temp_properties:
+1156                    properties.expressions.extend(temp_properties.expressions)
+1157                elif temp_properties:
+1158                    properties = temp_properties
+1159
+1160            this = self._parse_schema(this=table_parts)
+1161
+1162            # exp.Properties.Location.POST_SCHEMA and POST_WITH
+1163            temp_properties = self._parse_properties()
+1164            if properties and temp_properties:
+1165                properties.expressions.extend(temp_properties.expressions)
+1166            elif temp_properties:
+1167                properties = temp_properties
+1168
+1169            self._match(TokenType.ALIAS)
+1170
+1171            # exp.Properties.Location.POST_ALIAS
+1172            if not (
+1173                self._match(TokenType.SELECT, advance=False)
+1174                or self._match(TokenType.WITH, advance=False)
+1175                or self._match(TokenType.L_PAREN, advance=False)
+1176            ):
+1177                temp_properties = self._parse_properties()
+1178                if properties and temp_properties:
+1179                    properties.expressions.extend(temp_properties.expressions)
+1180                elif temp_properties:
+1181                    properties = temp_properties
+1182
+1183            expression = self._parse_ddl_select()
+1184
+1185            if create_token.token_type == TokenType.TABLE:
+1186                indexes = []
+1187                while True:
+1188                    index = self._parse_index()
+1189
+1190                    # exp.Properties.Location.POST_EXPRESSION or exp.Properties.Location.POST_INDEX
+1191                    temp_properties = self._parse_properties()
+1192                    if properties and temp_properties:
+1193                        properties.expressions.extend(temp_properties.expressions)
+1194                    elif temp_properties:
+1195                        properties = temp_properties
+1196
+1197                    if not index:
+1198                        break
+1199                    else:
+1200                        self._match(TokenType.COMMA)
+1201                        indexes.append(index)
+1202            elif create_token.token_type == TokenType.VIEW:
+1203                if self._match_text_seq("WITH", "NO", "SCHEMA", "BINDING"):
+1204                    no_schema_binding = True
+1205
+1206            if self._match_text_seq("CLONE"):
+1207                clone = self._parse_table(schema=True)
+1208                when = self._match_texts({"AT", "BEFORE"}) and self._prev.text.upper()
+1209                clone_kind = (
+1210                    self._match(TokenType.L_PAREN)
+1211                    and self._match_texts(self.CLONE_KINDS)
+1212                    and self._prev.text.upper()
+1213                )
+1214                clone_expression = self._match(TokenType.FARROW) and self._parse_bitwise()
+1215                self._match(TokenType.R_PAREN)
+1216                clone = self.expression(
+1217                    exp.Clone, this=clone, when=when, kind=clone_kind, expression=clone_expression
+1218                )
+1219
+1220        return self.expression(
+1221            exp.Create,
+1222            this=this,
+1223            kind=create_token.text,
+1224            replace=replace,
+1225            unique=unique,
+1226            expression=expression,
+1227            exists=exists,
+1228            properties=properties,
+1229            indexes=indexes,
+1230            no_schema_binding=no_schema_binding,
+1231            begin=begin,
+1232            clone=clone,
+1233        )
+1234
+1235    def _parse_property_before(self) -> t.Optional[exp.Expression]:
+1236        # only used for teradata currently
+1237        self._match(TokenType.COMMA)
+1238
+1239        kwargs = {
+1240            "no": self._match_text_seq("NO"),
+1241            "dual": self._match_text_seq("DUAL"),
+1242            "before": self._match_text_seq("BEFORE"),
+1243            "default": self._match_text_seq("DEFAULT"),
+1244            "local": (self._match_text_seq("LOCAL") and "LOCAL")
+1245            or (self._match_text_seq("NOT", "LOCAL") and "NOT LOCAL"),
+1246            "after": self._match_text_seq("AFTER"),
+1247            "minimum": self._match_texts(("MIN", "MINIMUM")),
+1248            "maximum": self._match_texts(("MAX", "MAXIMUM")),
+1249        }
+1250
+1251        if self._match_texts(self.PROPERTY_PARSERS):
+1252            parser = self.PROPERTY_PARSERS[self._prev.text.upper()]
+1253            try:
+1254                return parser(self, **{k: v for k, v in kwargs.items() if v})
+1255            except TypeError:
+1256                self.raise_error(f"Cannot parse property '{self._prev.text}'")
 1257
-1258        if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET):
-1259            return self._parse_character_set(default=True)
-1260
-1261        if self._match_text_seq("COMPOUND", "SORTKEY"):
-1262            return self._parse_sortkey(compound=True)
+1258        return None
+1259
+1260    def _parse_property(self) -> t.Optional[exp.Expression]:
+1261        if self._match_texts(self.PROPERTY_PARSERS):
+1262            return self.PROPERTY_PARSERS[self._prev.text.upper()](self)
 1263
-1264        if self._match_text_seq("SQL", "SECURITY"):
-1265            return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER"))
+1264        if self._match_pair(TokenType.DEFAULT, TokenType.CHARACTER_SET):
+1265            return self._parse_character_set(default=True)
 1266
-1267        assignment = self._match_pair(
-1268            TokenType.VAR, TokenType.EQ, advance=False
-1269        ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False)
-1270
-1271        if assignment:
-1272            key = self._parse_var_or_string()
-1273            self._match(TokenType.EQ)
-1274            return self.expression(exp.Property, this=key, value=self._parse_column())
-1275
-1276        return None
-1277
-1278    def _parse_stored(self) -> exp.Expression:
-1279        self._match(TokenType.ALIAS)
-1280
-1281        input_format = self._parse_string() if self._match_text_seq("INPUTFORMAT") else None
-1282        output_format = self._parse_string() if self._match_text_seq("OUTPUTFORMAT") else None
+1267        if self._match_text_seq("COMPOUND", "SORTKEY"):
+1268            return self._parse_sortkey(compound=True)
+1269
+1270        if self._match_text_seq("SQL", "SECURITY"):
+1271            return self.expression(exp.SqlSecurityProperty, definer=self._match_text_seq("DEFINER"))
+1272
+1273        assignment = self._match_pair(
+1274            TokenType.VAR, TokenType.EQ, advance=False
+1275        ) or self._match_pair(TokenType.STRING, TokenType.EQ, advance=False)
+1276
+1277        if assignment:
+1278            key = self._parse_var_or_string()
+1279            self._match(TokenType.EQ)
+1280            return self.expression(exp.Property, this=key, value=self._parse_column())
+1281
+1282        return None
 1283
-1284        return self.expression(
-1285            exp.FileFormatProperty,
-1286            this=self.expression(
-1287                exp.InputOutputFormat, input_format=input_format, output_format=output_format
-1288            )
-1289            if input_format or output_format
-1290            else self._parse_var_or_string() or self._parse_number() or self._parse_id_var(),
-1291        )
-1292
-1293    def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression:
-1294        self._match(TokenType.EQ)
-1295        self._match(TokenType.ALIAS)
-1296        return self.expression(exp_class, this=self._parse_field())
-1297
-1298    def _parse_properties(self, before=None) -> t.Optional[exp.Expression]:
-1299        properties = []
-1300
-1301        while True:
-1302            if before:
-1303                prop = self._parse_property_before()
-1304            else:
-1305                prop = self._parse_property()
+1284    def _parse_stored(self) -> exp.Expression:
+1285        self._match(TokenType.ALIAS)
+1286
+1287        input_format = self._parse_string() if self._match_text_seq("INPUTFORMAT") else None
+1288        output_format = self._parse_string() if self._match_text_seq("OUTPUTFORMAT") else None
+1289
+1290        return self.expression(
+1291            exp.FileFormatProperty,
+1292            this=self.expression(
+1293                exp.InputOutputFormat, input_format=input_format, output_format=output_format
+1294            )
+1295            if input_format or output_format
+1296            else self._parse_var_or_string() or self._parse_number() or self._parse_id_var(),
+1297        )
+1298
+1299    def _parse_property_assignment(self, exp_class: t.Type[exp.Expression]) -> exp.Expression:
+1300        self._match(TokenType.EQ)
+1301        self._match(TokenType.ALIAS)
+1302        return self.expression(exp_class, this=self._parse_field())
+1303
+1304    def _parse_properties(self, before: t.Optional[bool] = None) -> t.Optional[exp.Expression]:
+1305        properties = []
 1306
-1307            if not prop:
-1308                break
-1309            for p in ensure_list(prop):
-1310                properties.append(p)
-1311
-1312        if properties:
-1313            return self.expression(exp.Properties, expressions=properties)
-1314
-1315        return None
-1316
-1317    def _parse_fallback(self, no: bool = False) -> exp.Expression:
-1318        return self.expression(
-1319            exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION")
-1320        )
-1321
-1322    def _parse_volatile_property(self) -> exp.Expression:
-1323        if self._index >= 2:
-1324            pre_volatile_token = self._tokens[self._index - 2]
-1325        else:
-1326            pre_volatile_token = None
+1307        while True:
+1308            if before:
+1309                prop = self._parse_property_before()
+1310            else:
+1311                prop = self._parse_property()
+1312
+1313            if not prop:
+1314                break
+1315            for p in ensure_list(prop):
+1316                properties.append(p)
+1317
+1318        if properties:
+1319            return self.expression(exp.Properties, expressions=properties)
+1320
+1321        return None
+1322
+1323    def _parse_fallback(self, no: bool = False) -> exp.Expression:
+1324        return self.expression(
+1325            exp.FallbackProperty, no=no, protection=self._match_text_seq("PROTECTION")
+1326        )
 1327
-1328        if pre_volatile_token and pre_volatile_token.token_type in (
-1329            TokenType.CREATE,
-1330            TokenType.REPLACE,
-1331            TokenType.UNIQUE,
-1332        ):
-1333            return exp.VolatileProperty()
-1334
-1335        return self.expression(exp.StabilityProperty, this=exp.Literal.string("VOLATILE"))
-1336
-1337    def _parse_with_property(
-1338        self,
-1339    ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]:
-1340        self._match(TokenType.WITH)
-1341        if self._match(TokenType.L_PAREN, advance=False):
-1342            return self._parse_wrapped_csv(self._parse_property)
-1343
-1344        if self._match_text_seq("JOURNAL"):
-1345            return self._parse_withjournaltable()
-1346
-1347        if self._match_text_seq("DATA"):
-1348            return self._parse_withdata(no=False)
-1349        elif self._match_text_seq("NO", "DATA"):
-1350            return self._parse_withdata(no=True)
-1351
-1352        if not self._next:
-1353            return None
-1354
-1355        return self._parse_withisolatedloading()
-1356
-1357    # https://dev.mysql.com/doc/refman/8.0/en/create-view.html
-1358    def _parse_definer(self) -> t.Optional[exp.Expression]:
-1359        self._match(TokenType.EQ)
+1328    def _parse_volatile_property(self) -> exp.Expression:
+1329        if self._index >= 2:
+1330            pre_volatile_token = self._tokens[self._index - 2]
+1331        else:
+1332            pre_volatile_token = None
+1333
+1334        if pre_volatile_token and pre_volatile_token.token_type in (
+1335            TokenType.CREATE,
+1336            TokenType.REPLACE,
+1337            TokenType.UNIQUE,
+1338        ):
+1339            return exp.VolatileProperty()
+1340
+1341        return self.expression(exp.StabilityProperty, this=exp.Literal.string("VOLATILE"))
+1342
+1343    def _parse_with_property(
+1344        self,
+1345    ) -> t.Union[t.Optional[exp.Expression], t.List[t.Optional[exp.Expression]]]:
+1346        self._match(TokenType.WITH)
+1347        if self._match(TokenType.L_PAREN, advance=False):
+1348            return self._parse_wrapped_csv(self._parse_property)
+1349
+1350        if self._match_text_seq("JOURNAL"):
+1351            return self._parse_withjournaltable()
+1352
+1353        if self._match_text_seq("DATA"):
+1354            return self._parse_withdata(no=False)
+1355        elif self._match_text_seq("NO", "DATA"):
+1356            return self._parse_withdata(no=True)
+1357
+1358        if not self._next:
+1359            return None
 1360
-1361        user = self._parse_id_var()
-1362        self._match(TokenType.PARAMETER)
-1363        host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text)
-1364
-1365        if not user or not host:
-1366            return None
-1367
-1368        return exp.DefinerProperty(this=f"{user}@{host}")
-1369
-1370    def _parse_withjournaltable(self) -> exp.Expression:
-1371        self._match(TokenType.TABLE)
-1372        self._match(TokenType.EQ)
-1373        return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts())
-1374
-1375    def _parse_log(self, no: bool = False) -> exp.Expression:
-1376        return self.expression(exp.LogProperty, no=no)
-1377
-1378    def _parse_journal(self, **kwargs) -> exp.Expression:
-1379        return self.expression(exp.JournalProperty, **kwargs)
+1361        return self._parse_withisolatedloading()
+1362
+1363    # https://dev.mysql.com/doc/refman/8.0/en/create-view.html
+1364    def _parse_definer(self) -> t.Optional[exp.Expression]:
+1365        self._match(TokenType.EQ)
+1366
+1367        user = self._parse_id_var()
+1368        self._match(TokenType.PARAMETER)
+1369        host = self._parse_id_var() or (self._match(TokenType.MOD) and self._prev.text)
+1370
+1371        if not user or not host:
+1372            return None
+1373
+1374        return exp.DefinerProperty(this=f"{user}@{host}")
+1375
+1376    def _parse_withjournaltable(self) -> exp.Expression:
+1377        self._match(TokenType.TABLE)
+1378        self._match(TokenType.EQ)
+1379        return self.expression(exp.WithJournalTableProperty, this=self._parse_table_parts())
 1380
-1381    def _parse_checksum(self) -> exp.Expression:
-1382        self._match(TokenType.EQ)
+1381    def _parse_log(self, no: bool = False) -> exp.Expression:
+1382        return self.expression(exp.LogProperty, no=no)
 1383
-1384        on = None
-1385        if self._match(TokenType.ON):
-1386            on = True
-1387        elif self._match_text_seq("OFF"):
-1388            on = False
-1389        default = self._match(TokenType.DEFAULT)
-1390
-1391        return self.expression(
-1392            exp.ChecksumProperty,
-1393            on=on,
-1394            default=default,
-1395        )
+1384    def _parse_journal(self, **kwargs) -> exp.Expression:
+1385        return self.expression(exp.JournalProperty, **kwargs)
+1386
+1387    def _parse_checksum(self) -> exp.Expression:
+1388        self._match(TokenType.EQ)
+1389
+1390        on = None
+1391        if self._match(TokenType.ON):
+1392            on = True
+1393        elif self._match_text_seq("OFF"):
+1394            on = False
+1395        default = self._match(TokenType.DEFAULT)
 1396
-1397    def _parse_cluster(self) -> t.Optional[exp.Expression]:
-1398        if not self._match_text_seq("BY"):
-1399            self._retreat(self._index - 1)
-1400            return None
-1401        return self.expression(
-1402            exp.Cluster,
-1403            expressions=self._parse_csv(self._parse_ordered),
-1404        )
-1405
-1406    def _parse_freespace(self) -> exp.Expression:
-1407        self._match(TokenType.EQ)
-1408        return self.expression(
-1409            exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT)
+1397        return self.expression(
+1398            exp.ChecksumProperty,
+1399            on=on,
+1400            default=default,
+1401        )
+1402
+1403    def _parse_cluster(self) -> t.Optional[exp.Expression]:
+1404        if not self._match_text_seq("BY"):
+1405            self._retreat(self._index - 1)
+1406            return None
+1407        return self.expression(
+1408            exp.Cluster,
+1409            expressions=self._parse_csv(self._parse_ordered),
 1410        )
 1411
-1412    def _parse_mergeblockratio(self, no: bool = False, default: bool = False) -> exp.Expression:
-1413        if self._match(TokenType.EQ):
-1414            return self.expression(
-1415                exp.MergeBlockRatioProperty,
-1416                this=self._parse_number(),
-1417                percent=self._match(TokenType.PERCENT),
-1418            )
-1419        return self.expression(
-1420            exp.MergeBlockRatioProperty,
-1421            no=no,
-1422            default=default,
-1423        )
-1424
-1425    def _parse_datablocksize(
-1426        self,
-1427        default: t.Optional[bool] = None,
-1428        minimum: t.Optional[bool] = None,
-1429        maximum: t.Optional[bool] = None,
-1430    ) -> exp.Expression:
-1431        self._match(TokenType.EQ)
-1432        size = self._parse_number()
-1433        units = None
-1434        if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")):
-1435            units = self._prev.text
-1436        return self.expression(
-1437            exp.DataBlocksizeProperty,
-1438            size=size,
-1439            units=units,
-1440            default=default,
-1441            minimum=minimum,
-1442            maximum=maximum,
-1443        )
-1444
-1445    def _parse_blockcompression(self) -> exp.Expression:
-1446        self._match(TokenType.EQ)
-1447        always = self._match_text_seq("ALWAYS")
-1448        manual = self._match_text_seq("MANUAL")
-1449        never = self._match_text_seq("NEVER")
-1450        default = self._match_text_seq("DEFAULT")
-1451        autotemp = None
-1452        if self._match_text_seq("AUTOTEMP"):
-1453            autotemp = self._parse_schema()
-1454
-1455        return self.expression(
-1456            exp.BlockCompressionProperty,
-1457            always=always,
-1458            manual=manual,
-1459            never=never,
-1460            default=default,
-1461            autotemp=autotemp,
-1462        )
-1463
-1464    def _parse_withisolatedloading(self) -> exp.Expression:
-1465        no = self._match_text_seq("NO")
-1466        concurrent = self._match_text_seq("CONCURRENT")
-1467        self._match_text_seq("ISOLATED", "LOADING")
-1468        for_all = self._match_text_seq("FOR", "ALL")
-1469        for_insert = self._match_text_seq("FOR", "INSERT")
-1470        for_none = self._match_text_seq("FOR", "NONE")
-1471        return self.expression(
-1472            exp.IsolatedLoadingProperty,
-1473            no=no,
-1474            concurrent=concurrent,
-1475            for_all=for_all,
-1476            for_insert=for_insert,
-1477            for_none=for_none,
-1478        )
-1479
-1480    def _parse_locking(self) -> exp.Expression:
-1481        if self._match(TokenType.TABLE):
-1482            kind = "TABLE"
-1483        elif self._match(TokenType.VIEW):
-1484            kind = "VIEW"
-1485        elif self._match(TokenType.ROW):
-1486            kind = "ROW"
-1487        elif self._match_text_seq("DATABASE"):
-1488            kind = "DATABASE"
-1489        else:
-1490            kind = None
-1491
-1492        if kind in ("DATABASE", "TABLE", "VIEW"):
-1493            this = self._parse_table_parts()
-1494        else:
-1495            this = None
-1496
-1497        if self._match(TokenType.FOR):
-1498            for_or_in = "FOR"
-1499        elif self._match(TokenType.IN):
-1500            for_or_in = "IN"
-1501        else:
-1502            for_or_in = None
-1503
-1504        if self._match_text_seq("ACCESS"):
-1505            lock_type = "ACCESS"
-1506        elif self._match_texts(("EXCL", "EXCLUSIVE")):
-1507            lock_type = "EXCLUSIVE"
-1508        elif self._match_text_seq("SHARE"):
-1509            lock_type = "SHARE"
-1510        elif self._match_text_seq("READ"):
-1511            lock_type = "READ"
-1512        elif self._match_text_seq("WRITE"):
-1513            lock_type = "WRITE"
-1514        elif self._match_text_seq("CHECKSUM"):
-1515            lock_type = "CHECKSUM"
-1516        else:
-1517            lock_type = None
-1518
-1519        override = self._match_text_seq("OVERRIDE")
-1520
-1521        return self.expression(
-1522            exp.LockingProperty,
-1523            this=this,
-1524            kind=kind,
-1525            for_or_in=for_or_in,
-1526            lock_type=lock_type,
-1527            override=override,
-1528        )
-1529
-1530    def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]:
-1531        if self._match(TokenType.PARTITION_BY):
-1532            return self._parse_csv(self._parse_conjunction)
-1533        return []
-1534
-1535    def _parse_partitioned_by(self) -> exp.Expression:
-1536        self._match(TokenType.EQ)
-1537        return self.expression(
-1538            exp.PartitionedByProperty,
-1539            this=self._parse_schema() or self._parse_bracket(self._parse_field()),
-1540        )
-1541
-1542    def _parse_withdata(self, no=False) -> exp.Expression:
-1543        if self._match_text_seq("AND", "STATISTICS"):
-1544            statistics = True
-1545        elif self._match_text_seq("AND", "NO", "STATISTICS"):
-1546            statistics = False
-1547        else:
-1548            statistics = None
-1549
-1550        return self.expression(exp.WithDataProperty, no=no, statistics=statistics)
-1551
-1552    def _parse_no_property(self) -> t.Optional[exp.Property]:
-1553        if self._match_text_seq("PRIMARY", "INDEX"):
-1554            return exp.NoPrimaryIndexProperty()
-1555        return None
-1556
-1557    def _parse_on_property(self) -> t.Optional[exp.Property]:
-1558        if self._match_text_seq("COMMIT", "PRESERVE", "ROWS"):
-1559            return exp.OnCommitProperty()
-1560        elif self._match_text_seq("COMMIT", "DELETE", "ROWS"):
-1561            return exp.OnCommitProperty(delete=True)
-1562        return None
-1563
-1564    def _parse_distkey(self) -> exp.Expression:
-1565        return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var))
-1566
-1567    def _parse_create_like(self) -> t.Optional[exp.Expression]:
-1568        table = self._parse_table(schema=True)
-1569        options = []
-1570        while self._match_texts(("INCLUDING", "EXCLUDING")):
-1571            this = self._prev.text.upper()
-1572            id_var = self._parse_id_var()
-1573
-1574            if not id_var:
-1575                return None
-1576
-1577            options.append(
-1578                self.expression(
-1579                    exp.Property,
-1580                    this=this,
-1581                    value=exp.Var(this=id_var.this.upper()),
-1582                )
-1583            )
-1584        return self.expression(exp.LikeProperty, this=table, expressions=options)
-1585
-1586    def _parse_sortkey(self, compound: bool = False) -> exp.Expression:
-1587        return self.expression(
-1588            exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound
-1589        )
-1590
-1591    def _parse_character_set(self, default: bool = False) -> exp.Expression:
-1592        self._match(TokenType.EQ)
+1412    def _parse_freespace(self) -> exp.Expression:
+1413        self._match(TokenType.EQ)
+1414        return self.expression(
+1415            exp.FreespaceProperty, this=self._parse_number(), percent=self._match(TokenType.PERCENT)
+1416        )
+1417
+1418    def _parse_mergeblockratio(self, no: bool = False, default: bool = False) -> exp.Expression:
+1419        if self._match(TokenType.EQ):
+1420            return self.expression(
+1421                exp.MergeBlockRatioProperty,
+1422                this=self._parse_number(),
+1423                percent=self._match(TokenType.PERCENT),
+1424            )
+1425        return self.expression(
+1426            exp.MergeBlockRatioProperty,
+1427            no=no,
+1428            default=default,
+1429        )
+1430
+1431    def _parse_datablocksize(
+1432        self,
+1433        default: t.Optional[bool] = None,
+1434        minimum: t.Optional[bool] = None,
+1435        maximum: t.Optional[bool] = None,
+1436    ) -> exp.Expression:
+1437        self._match(TokenType.EQ)
+1438        size = self._parse_number()
+1439        units = None
+1440        if self._match_texts(("BYTES", "KBYTES", "KILOBYTES")):
+1441            units = self._prev.text
+1442        return self.expression(
+1443            exp.DataBlocksizeProperty,
+1444            size=size,
+1445            units=units,
+1446            default=default,
+1447            minimum=minimum,
+1448            maximum=maximum,
+1449        )
+1450
+1451    def _parse_blockcompression(self) -> exp.Expression:
+1452        self._match(TokenType.EQ)
+1453        always = self._match_text_seq("ALWAYS")
+1454        manual = self._match_text_seq("MANUAL")
+1455        never = self._match_text_seq("NEVER")
+1456        default = self._match_text_seq("DEFAULT")
+1457        autotemp = None
+1458        if self._match_text_seq("AUTOTEMP"):
+1459            autotemp = self._parse_schema()
+1460
+1461        return self.expression(
+1462            exp.BlockCompressionProperty,
+1463            always=always,
+1464            manual=manual,
+1465            never=never,
+1466            default=default,
+1467            autotemp=autotemp,
+1468        )
+1469
+1470    def _parse_withisolatedloading(self) -> exp.Expression:
+1471        no = self._match_text_seq("NO")
+1472        concurrent = self._match_text_seq("CONCURRENT")
+1473        self._match_text_seq("ISOLATED", "LOADING")
+1474        for_all = self._match_text_seq("FOR", "ALL")
+1475        for_insert = self._match_text_seq("FOR", "INSERT")
+1476        for_none = self._match_text_seq("FOR", "NONE")
+1477        return self.expression(
+1478            exp.IsolatedLoadingProperty,
+1479            no=no,
+1480            concurrent=concurrent,
+1481            for_all=for_all,
+1482            for_insert=for_insert,
+1483            for_none=for_none,
+1484        )
+1485
+1486    def _parse_locking(self) -> exp.Expression:
+1487        if self._match(TokenType.TABLE):
+1488            kind = "TABLE"
+1489        elif self._match(TokenType.VIEW):
+1490            kind = "VIEW"
+1491        elif self._match(TokenType.ROW):
+1492            kind = "ROW"
+1493        elif self._match_text_seq("DATABASE"):
+1494            kind = "DATABASE"
+1495        else:
+1496            kind = None
+1497
+1498        if kind in ("DATABASE", "TABLE", "VIEW"):
+1499            this = self._parse_table_parts()
+1500        else:
+1501            this = None
+1502
+1503        if self._match(TokenType.FOR):
+1504            for_or_in = "FOR"
+1505        elif self._match(TokenType.IN):
+1506            for_or_in = "IN"
+1507        else:
+1508            for_or_in = None
+1509
+1510        if self._match_text_seq("ACCESS"):
+1511            lock_type = "ACCESS"
+1512        elif self._match_texts(("EXCL", "EXCLUSIVE")):
+1513            lock_type = "EXCLUSIVE"
+1514        elif self._match_text_seq("SHARE"):
+1515            lock_type = "SHARE"
+1516        elif self._match_text_seq("READ"):
+1517            lock_type = "READ"
+1518        elif self._match_text_seq("WRITE"):
+1519            lock_type = "WRITE"
+1520        elif self._match_text_seq("CHECKSUM"):
+1521            lock_type = "CHECKSUM"
+1522        else:
+1523            lock_type = None
+1524
+1525        override = self._match_text_seq("OVERRIDE")
+1526
+1527        return self.expression(
+1528            exp.LockingProperty,
+1529            this=this,
+1530            kind=kind,
+1531            for_or_in=for_or_in,
+1532            lock_type=lock_type,
+1533            override=override,
+1534        )
+1535
+1536    def _parse_partition_by(self) -> t.List[t.Optional[exp.Expression]]:
+1537        if self._match(TokenType.PARTITION_BY):
+1538            return self._parse_csv(self._parse_conjunction)
+1539        return []
+1540
+1541    def _parse_partitioned_by(self) -> exp.Expression:
+1542        self._match(TokenType.EQ)
+1543        return self.expression(
+1544            exp.PartitionedByProperty,
+1545            this=self._parse_schema() or self._parse_bracket(self._parse_field()),
+1546        )
+1547
+1548    def _parse_withdata(self, no: bool = False) -> exp.Expression:
+1549        if self._match_text_seq("AND", "STATISTICS"):
+1550            statistics = True
+1551        elif self._match_text_seq("AND", "NO", "STATISTICS"):
+1552            statistics = False
+1553        else:
+1554            statistics = None
+1555
+1556        return self.expression(exp.WithDataProperty, no=no, statistics=statistics)
+1557
+1558    def _parse_no_property(self) -> t.Optional[exp.Property]:
+1559        if self._match_text_seq("PRIMARY", "INDEX"):
+1560            return exp.NoPrimaryIndexProperty()
+1561        return None
+1562
+1563    def _parse_on_property(self) -> t.Optional[exp.Property]:
+1564        if self._match_text_seq("COMMIT", "PRESERVE", "ROWS"):
+1565            return exp.OnCommitProperty()
+1566        elif self._match_text_seq("COMMIT", "DELETE", "ROWS"):
+1567            return exp.OnCommitProperty(delete=True)
+1568        return None
+1569
+1570    def _parse_distkey(self) -> exp.Expression:
+1571        return self.expression(exp.DistKeyProperty, this=self._parse_wrapped(self._parse_id_var))
+1572
+1573    def _parse_create_like(self) -> t.Optional[exp.Expression]:
+1574        table = self._parse_table(schema=True)
+1575        options = []
+1576        while self._match_texts(("INCLUDING", "EXCLUDING")):
+1577            this = self._prev.text.upper()
+1578            id_var = self._parse_id_var()
+1579
+1580            if not id_var:
+1581                return None
+1582
+1583            options.append(
+1584                self.expression(
+1585                    exp.Property,
+1586                    this=this,
+1587                    value=exp.Var(this=id_var.this.upper()),
+1588                )
+1589            )
+1590        return self.expression(exp.LikeProperty, this=table, expressions=options)
+1591
+1592    def _parse_sortkey(self, compound: bool = False) -> exp.Expression:
 1593        return self.expression(
-1594            exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default
+1594            exp.SortKeyProperty, this=self._parse_wrapped_csv(self._parse_id_var), compound=compound
 1595        )
 1596
-1597    def _parse_returns(self) -> exp.Expression:
-1598        value: t.Optional[exp.Expression]
-1599        is_table = self._match(TokenType.TABLE)
-1600
-1601        if is_table:
-1602            if self._match(TokenType.LT):
-1603                value = self.expression(
-1604                    exp.Schema,
-1605                    this="TABLE",
-1606                    expressions=self._parse_csv(self._parse_struct_types),
-1607                )
-1608                if not self._match(TokenType.GT):
-1609                    self.raise_error("Expecting >")
-1610            else:
-1611                value = self._parse_schema(exp.Var(this="TABLE"))
-1612        else:
-1613            value = self._parse_types()
-1614
-1615        return self.expression(exp.ReturnsProperty, this=value, is_table=is_table)
-1616
-1617    def _parse_describe(self) -> exp.Expression:
-1618        kind = self._match_set(self.CREATABLES) and self._prev.text
-1619        this = self._parse_table()
+1597    def _parse_character_set(self, default: bool = False) -> exp.Expression:
+1598        self._match(TokenType.EQ)
+1599        return self.expression(
+1600            exp.CharacterSetProperty, this=self._parse_var_or_string(), default=default
+1601        )
+1602
+1603    def _parse_returns(self) -> exp.Expression:
+1604        value: t.Optional[exp.Expression]
+1605        is_table = self._match(TokenType.TABLE)
+1606
+1607        if is_table:
+1608            if self._match(TokenType.LT):
+1609                value = self.expression(
+1610                    exp.Schema,
+1611                    this="TABLE",
+1612                    expressions=self._parse_csv(self._parse_struct_types),
+1613                )
+1614                if not self._match(TokenType.GT):
+1615                    self.raise_error("Expecting >")
+1616            else:
+1617                value = self._parse_schema(exp.Var(this="TABLE"))
+1618        else:
+1619            value = self._parse_types()
 1620
-1621        return self.expression(exp.Describe, this=this, kind=kind)
+1621        return self.expression(exp.ReturnsProperty, this=value, is_table=is_table)
 1622
-1623    def _parse_insert(self) -> exp.Expression:
-1624        overwrite = self._match(TokenType.OVERWRITE)
-1625        local = self._match_text_seq("LOCAL")
-1626        alternative = None
-1627
-1628        if self._match_text_seq("DIRECTORY"):
-1629            this: t.Optional[exp.Expression] = self.expression(
-1630                exp.Directory,
-1631                this=self._parse_var_or_string(),
-1632                local=local,
-1633                row_format=self._parse_row_format(match_row=True),
-1634            )
-1635        else:
-1636            if self._match(TokenType.OR):
-1637                alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text
-1638
-1639            self._match(TokenType.INTO)
-1640            self._match(TokenType.TABLE)
-1641            this = self._parse_table(schema=True)
-1642
-1643        return self.expression(
-1644            exp.Insert,
-1645            this=this,
-1646            exists=self._parse_exists(),
-1647            partition=self._parse_partition(),
-1648            expression=self._parse_ddl_select(),
-1649            conflict=self._parse_on_conflict(),
-1650            returning=self._parse_returning(),
-1651            overwrite=overwrite,
-1652            alternative=alternative,
-1653        )
-1654
-1655    def _parse_on_conflict(self) -> t.Optional[exp.Expression]:
-1656        conflict = self._match_text_seq("ON", "CONFLICT")
-1657        duplicate = self._match_text_seq("ON", "DUPLICATE", "KEY")
-1658
-1659        if not (conflict or duplicate):
-1660            return None
-1661
-1662        nothing = None
-1663        expressions = None
-1664        key = None
-1665        constraint = None
-1666
-1667        if conflict:
-1668            if self._match_text_seq("ON", "CONSTRAINT"):
-1669                constraint = self._parse_id_var()
-1670            else:
-1671                key = self._parse_csv(self._parse_value)
+1623    def _parse_describe(self) -> exp.Expression:
+1624        kind = self._match_set(self.CREATABLES) and self._prev.text
+1625        this = self._parse_table()
+1626
+1627        return self.expression(exp.Describe, this=this, kind=kind)
+1628
+1629    def _parse_insert(self) -> exp.Expression:
+1630        overwrite = self._match(TokenType.OVERWRITE)
+1631        local = self._match_text_seq("LOCAL")
+1632        alternative = None
+1633
+1634        if self._match_text_seq("DIRECTORY"):
+1635            this: t.Optional[exp.Expression] = self.expression(
+1636                exp.Directory,
+1637                this=self._parse_var_or_string(),
+1638                local=local,
+1639                row_format=self._parse_row_format(match_row=True),
+1640            )
+1641        else:
+1642            if self._match(TokenType.OR):
+1643                alternative = self._match_texts(self.INSERT_ALTERNATIVES) and self._prev.text
+1644
+1645            self._match(TokenType.INTO)
+1646            self._match(TokenType.TABLE)
+1647            this = self._parse_table(schema=True)
+1648
+1649        return self.expression(
+1650            exp.Insert,
+1651            this=this,
+1652            exists=self._parse_exists(),
+1653            partition=self._parse_partition(),
+1654            expression=self._parse_ddl_select(),
+1655            conflict=self._parse_on_conflict(),
+1656            returning=self._parse_returning(),
+1657            overwrite=overwrite,
+1658            alternative=alternative,
+1659        )
+1660
+1661    def _parse_on_conflict(self) -> t.Optional[exp.Expression]:
+1662        conflict = self._match_text_seq("ON", "CONFLICT")
+1663        duplicate = self._match_text_seq("ON", "DUPLICATE", "KEY")
+1664
+1665        if not (conflict or duplicate):
+1666            return None
+1667
+1668        nothing = None
+1669        expressions = None
+1670        key = None
+1671        constraint = None
 1672
-1673        self._match_text_seq("DO")
-1674        if self._match_text_seq("NOTHING"):
-1675            nothing = True
-1676        else:
-1677            self._match(TokenType.UPDATE)
-1678            expressions = self._match(TokenType.SET) and self._parse_csv(self._parse_equality)
-1679
-1680        return self.expression(
-1681            exp.OnConflict,
-1682            duplicate=duplicate,
-1683            expressions=expressions,
-1684            nothing=nothing,
-1685            key=key,
-1686            constraint=constraint,
-1687        )
-1688
-1689    def _parse_returning(self) -> t.Optional[exp.Expression]:
-1690        if not self._match(TokenType.RETURNING):
-1691            return None
-1692
-1693        return self.expression(exp.Returning, expressions=self._parse_csv(self._parse_column))
+1673        if conflict:
+1674            if self._match_text_seq("ON", "CONSTRAINT"):
+1675                constraint = self._parse_id_var()
+1676            else:
+1677                key = self._parse_csv(self._parse_value)
+1678
+1679        self._match_text_seq("DO")
+1680        if self._match_text_seq("NOTHING"):
+1681            nothing = True
+1682        else:
+1683            self._match(TokenType.UPDATE)
+1684            expressions = self._match(TokenType.SET) and self._parse_csv(self._parse_equality)
+1685
+1686        return self.expression(
+1687            exp.OnConflict,
+1688            duplicate=duplicate,
+1689            expressions=expressions,
+1690            nothing=nothing,
+1691            key=key,
+1692            constraint=constraint,
+1693        )
 1694
-1695    def _parse_row(self) -> t.Optional[exp.Expression]:
-1696        if not self._match(TokenType.FORMAT):
+1695    def _parse_returning(self) -> t.Optional[exp.Expression]:
+1696        if not self._match(TokenType.RETURNING):
 1697            return None
-1698        return self._parse_row_format()
-1699
-1700    def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]:
-1701        if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT):
-1702            return None
-1703
-1704        if self._match_text_seq("SERDE"):
-1705            return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string())
-1706
-1707        self._match_text_seq("DELIMITED")
-1708
-1709        kwargs = {}
-1710
-1711        if self._match_text_seq("FIELDS", "TERMINATED", "BY"):
-1712            kwargs["fields"] = self._parse_string()
-1713            if self._match_text_seq("ESCAPED", "BY"):
-1714                kwargs["escaped"] = self._parse_string()
-1715        if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"):
-1716            kwargs["collection_items"] = self._parse_string()
-1717        if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"):
-1718            kwargs["map_keys"] = self._parse_string()
-1719        if self._match_text_seq("LINES", "TERMINATED", "BY"):
-1720            kwargs["lines"] = self._parse_string()
-1721        if self._match_text_seq("NULL", "DEFINED", "AS"):
-1722            kwargs["null"] = self._parse_string()
-1723
-1724        return self.expression(exp.RowFormatDelimitedProperty, **kwargs)  # type: ignore
-1725
-1726    def _parse_load(self) -> exp.Expression:
-1727        if self._match_text_seq("DATA"):
-1728            local = self._match_text_seq("LOCAL")
-1729            self._match_text_seq("INPATH")
-1730            inpath = self._parse_string()
-1731            overwrite = self._match(TokenType.OVERWRITE)
-1732            self._match_pair(TokenType.INTO, TokenType.TABLE)
-1733
-1734            return self.expression(
-1735                exp.LoadData,
-1736                this=self._parse_table(schema=True),
-1737                local=local,
-1738                overwrite=overwrite,
-1739                inpath=inpath,
-1740                partition=self._parse_partition(),
-1741                input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(),
-1742                serde=self._match_text_seq("SERDE") and self._parse_string(),
-1743            )
-1744        return self._parse_as_command(self._prev)
-1745
-1746    def _parse_delete(self) -> exp.Expression:
-1747        self._match(TokenType.FROM)
-1748
-1749        return self.expression(
-1750            exp.Delete,
-1751            this=self._parse_table(),
-1752            using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()),
-1753            where=self._parse_where(),
-1754            returning=self._parse_returning(),
-1755        )
-1756
-1757    def _parse_update(self) -> exp.Expression:
-1758        return self.expression(
-1759            exp.Update,
-1760            **{  # type: ignore
-1761                "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS),
-1762                "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality),
-1763                "from": self._parse_from(modifiers=True),
-1764                "where": self._parse_where(),
-1765                "returning": self._parse_returning(),
-1766            },
-1767        )
-1768
-1769    def _parse_uncache(self) -> exp.Expression:
-1770        if not self._match(TokenType.TABLE):
-1771            self.raise_error("Expecting TABLE after UNCACHE")
-1772
-1773        return self.expression(
-1774            exp.Uncache,
-1775            exists=self._parse_exists(),
-1776            this=self._parse_table(schema=True),
-1777        )
+1698
+1699        return self.expression(exp.Returning, expressions=self._parse_csv(self._parse_column))
+1700
+1701    def _parse_row(self) -> t.Optional[exp.Expression]:
+1702        if not self._match(TokenType.FORMAT):
+1703            return None
+1704        return self._parse_row_format()
+1705
+1706    def _parse_row_format(self, match_row: bool = False) -> t.Optional[exp.Expression]:
+1707        if match_row and not self._match_pair(TokenType.ROW, TokenType.FORMAT):
+1708            return None
+1709
+1710        if self._match_text_seq("SERDE"):
+1711            return self.expression(exp.RowFormatSerdeProperty, this=self._parse_string())
+1712
+1713        self._match_text_seq("DELIMITED")
+1714
+1715        kwargs = {}
+1716
+1717        if self._match_text_seq("FIELDS", "TERMINATED", "BY"):
+1718            kwargs["fields"] = self._parse_string()
+1719            if self._match_text_seq("ESCAPED", "BY"):
+1720                kwargs["escaped"] = self._parse_string()
+1721        if self._match_text_seq("COLLECTION", "ITEMS", "TERMINATED", "BY"):
+1722            kwargs["collection_items"] = self._parse_string()
+1723        if self._match_text_seq("MAP", "KEYS", "TERMINATED", "BY"):
+1724            kwargs["map_keys"] = self._parse_string()
+1725        if self._match_text_seq("LINES", "TERMINATED", "BY"):
+1726            kwargs["lines"] = self._parse_string()
+1727        if self._match_text_seq("NULL", "DEFINED", "AS"):
+1728            kwargs["null"] = self._parse_string()
+1729
+1730        return self.expression(exp.RowFormatDelimitedProperty, **kwargs)  # type: ignore
+1731
+1732    def _parse_load(self) -> exp.Expression:
+1733        if self._match_text_seq("DATA"):
+1734            local = self._match_text_seq("LOCAL")
+1735            self._match_text_seq("INPATH")
+1736            inpath = self._parse_string()
+1737            overwrite = self._match(TokenType.OVERWRITE)
+1738            self._match_pair(TokenType.INTO, TokenType.TABLE)
+1739
+1740            return self.expression(
+1741                exp.LoadData,
+1742                this=self._parse_table(schema=True),
+1743                local=local,
+1744                overwrite=overwrite,
+1745                inpath=inpath,
+1746                partition=self._parse_partition(),
+1747                input_format=self._match_text_seq("INPUTFORMAT") and self._parse_string(),
+1748                serde=self._match_text_seq("SERDE") and self._parse_string(),
+1749            )
+1750        return self._parse_as_command(self._prev)
+1751
+1752    def _parse_delete(self) -> exp.Expression:
+1753        self._match(TokenType.FROM)
+1754
+1755        return self.expression(
+1756            exp.Delete,
+1757            this=self._parse_table(),
+1758            using=self._parse_csv(lambda: self._match(TokenType.USING) and self._parse_table()),
+1759            where=self._parse_where(),
+1760            returning=self._parse_returning(),
+1761        )
+1762
+1763    def _parse_update(self) -> exp.Expression:
+1764        return self.expression(
+1765            exp.Update,
+1766            **{  # type: ignore
+1767                "this": self._parse_table(alias_tokens=self.UPDATE_ALIAS_TOKENS),
+1768                "expressions": self._match(TokenType.SET) and self._parse_csv(self._parse_equality),
+1769                "from": self._parse_from(modifiers=True),
+1770                "where": self._parse_where(),
+1771                "returning": self._parse_returning(),
+1772            },
+1773        )
+1774
+1775    def _parse_uncache(self) -> exp.Expression:
+1776        if not self._match(TokenType.TABLE):
+1777            self.raise_error("Expecting TABLE after UNCACHE")
 1778
-1779    def _parse_cache(self) -> exp.Expression:
-1780        lazy = self._match_text_seq("LAZY")
-1781        self._match(TokenType.TABLE)
-1782        table = self._parse_table(schema=True)
-1783        options = []
+1779        return self.expression(
+1780            exp.Uncache,
+1781            exists=self._parse_exists(),
+1782            this=self._parse_table(schema=True),
+1783        )
 1784
-1785        if self._match_text_seq("OPTIONS"):
-1786            self._match_l_paren()
-1787            k = self._parse_string()
-1788            self._match(TokenType.EQ)
-1789            v = self._parse_string()
-1790            options = [k, v]
-1791            self._match_r_paren()
-1792
-1793        self._match(TokenType.ALIAS)
-1794        return self.expression(
-1795            exp.Cache,
-1796            this=table,
-1797            lazy=lazy,
-1798            options=options,
-1799            expression=self._parse_select(nested=True),
-1800        )
-1801
-1802    def _parse_partition(self) -> t.Optional[exp.Expression]:
-1803        if not self._match(TokenType.PARTITION):
-1804            return None
-1805
-1806        return self.expression(
-1807            exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction)
-1808        )
-1809
-1810    def _parse_value(self) -> exp.Expression:
-1811        if self._match(TokenType.L_PAREN):
-1812            expressions = self._parse_csv(self._parse_conjunction)
-1813            self._match_r_paren()
-1814            return self.expression(exp.Tuple, expressions=expressions)
+1785    def _parse_cache(self) -> exp.Expression:
+1786        lazy = self._match_text_seq("LAZY")
+1787        self._match(TokenType.TABLE)
+1788        table = self._parse_table(schema=True)
+1789        options = []
+1790
+1791        if self._match_text_seq("OPTIONS"):
+1792            self._match_l_paren()
+1793            k = self._parse_string()
+1794            self._match(TokenType.EQ)
+1795            v = self._parse_string()
+1796            options = [k, v]
+1797            self._match_r_paren()
+1798
+1799        self._match(TokenType.ALIAS)
+1800        return self.expression(
+1801            exp.Cache,
+1802            this=table,
+1803            lazy=lazy,
+1804            options=options,
+1805            expression=self._parse_select(nested=True),
+1806        )
+1807
+1808    def _parse_partition(self) -> t.Optional[exp.Expression]:
+1809        if not self._match(TokenType.PARTITION):
+1810            return None
+1811
+1812        return self.expression(
+1813            exp.Partition, expressions=self._parse_wrapped_csv(self._parse_conjunction)
+1814        )
 1815
-1816        # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows.
-1817        # Source: https://prestodb.io/docs/current/sql/values.html
-1818        return self.expression(exp.Tuple, expressions=[self._parse_conjunction()])
-1819
-1820    def _parse_select(
-1821        self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True
-1822    ) -> t.Optional[exp.Expression]:
-1823        cte = self._parse_with()
-1824        if cte:
-1825            this = self._parse_statement()
-1826
-1827            if not this:
-1828                self.raise_error("Failed to parse any statement following CTE")
-1829                return cte
-1830
-1831            if "with" in this.arg_types:
-1832                this.set("with", cte)
-1833            else:
-1834                self.raise_error(f"{this.key} does not support CTE")
-1835                this = cte
-1836        elif self._match(TokenType.SELECT):
-1837            comments = self._prev_comments
-1838
-1839            hint = self._parse_hint()
-1840            all_ = self._match(TokenType.ALL)
-1841            distinct = self._match(TokenType.DISTINCT)
-1842
-1843            kind = (
-1844                self._match(TokenType.ALIAS)
-1845                and self._match_texts(("STRUCT", "VALUE"))
-1846                and self._prev.text
-1847            )
+1816    def _parse_value(self) -> exp.Expression:
+1817        if self._match(TokenType.L_PAREN):
+1818            expressions = self._parse_csv(self._parse_conjunction)
+1819            self._match_r_paren()
+1820            return self.expression(exp.Tuple, expressions=expressions)
+1821
+1822        # In presto we can have VALUES 1, 2 which results in 1 column & 2 rows.
+1823        # Source: https://prestodb.io/docs/current/sql/values.html
+1824        return self.expression(exp.Tuple, expressions=[self._parse_conjunction()])
+1825
+1826    def _parse_select(
+1827        self, nested: bool = False, table: bool = False, parse_subquery_alias: bool = True
+1828    ) -> t.Optional[exp.Expression]:
+1829        cte = self._parse_with()
+1830        if cte:
+1831            this = self._parse_statement()
+1832
+1833            if not this:
+1834                self.raise_error("Failed to parse any statement following CTE")
+1835                return cte
+1836
+1837            if "with" in this.arg_types:
+1838                this.set("with", cte)
+1839            else:
+1840                self.raise_error(f"{this.key} does not support CTE")
+1841                this = cte
+1842        elif self._match(TokenType.SELECT):
+1843            comments = self._prev_comments
+1844
+1845            hint = self._parse_hint()
+1846            all_ = self._match(TokenType.ALL)
+1847            distinct = self._match(TokenType.DISTINCT)
 1848
-1849            if distinct:
-1850                distinct = self.expression(
-1851                    exp.Distinct,
-1852                    on=self._parse_value() if self._match(TokenType.ON) else None,
-1853                )
+1849            kind = (
+1850                self._match(TokenType.ALIAS)
+1851                and self._match_texts(("STRUCT", "VALUE"))
+1852                and self._prev.text
+1853            )
 1854
-1855            if all_ and distinct:
-1856                self.raise_error("Cannot specify both ALL and DISTINCT after SELECT")
-1857
-1858            limit = self._parse_limit(top=True)
-1859            expressions = self._parse_csv(self._parse_expression)
+1855            if distinct:
+1856                distinct = self.expression(
+1857                    exp.Distinct,
+1858                    on=self._parse_value() if self._match(TokenType.ON) else None,
+1859                )
 1860
-1861            this = self.expression(
-1862                exp.Select,
-1863                kind=kind,
-1864                hint=hint,
-1865                distinct=distinct,
-1866                expressions=expressions,
-1867                limit=limit,
-1868            )
-1869            this.comments = comments
-1870
-1871            into = self._parse_into()
-1872            if into:
-1873                this.set("into", into)
-1874
-1875            from_ = self._parse_from()
-1876            if from_:
-1877                this.set("from", from_)
-1878
-1879            this = self._parse_query_modifiers(this)
-1880        elif (table or nested) and self._match(TokenType.L_PAREN):
-1881            this = self._parse_table() if table else self._parse_select(nested=True)
-1882            this = self._parse_set_operations(self._parse_query_modifiers(this))
-1883            self._match_r_paren()
+1861            if all_ and distinct:
+1862                self.raise_error("Cannot specify both ALL and DISTINCT after SELECT")
+1863
+1864            limit = self._parse_limit(top=True)
+1865            expressions = self._parse_csv(self._parse_expression)
+1866
+1867            this = self.expression(
+1868                exp.Select,
+1869                kind=kind,
+1870                hint=hint,
+1871                distinct=distinct,
+1872                expressions=expressions,
+1873                limit=limit,
+1874            )
+1875            this.comments = comments
+1876
+1877            into = self._parse_into()
+1878            if into:
+1879                this.set("into", into)
+1880
+1881            from_ = self._parse_from()
+1882            if from_:
+1883                this.set("from", from_)
 1884
-1885            # early return so that subquery unions aren't parsed again
-1886            # SELECT * FROM (SELECT 1) UNION ALL SELECT 1
-1887            # Union ALL should be a property of the top select node, not the subquery
-1888            return self._parse_subquery(this, parse_alias=parse_subquery_alias)
-1889        elif self._match(TokenType.VALUES):
-1890            this = self.expression(
-1891                exp.Values,
-1892                expressions=self._parse_csv(self._parse_value),
-1893                alias=self._parse_table_alias(),
-1894            )
-1895        else:
-1896            this = None
-1897
-1898        return self._parse_set_operations(this)
-1899
-1900    def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]:
-1901        if not skip_with_token and not self._match(TokenType.WITH):
-1902            return None
+1885            this = self._parse_query_modifiers(this)
+1886        elif (table or nested) and self._match(TokenType.L_PAREN):
+1887            this = self._parse_table() if table else self._parse_select(nested=True)
+1888            this = self._parse_set_operations(self._parse_query_modifiers(this))
+1889            self._match_r_paren()
+1890
+1891            # early return so that subquery unions aren't parsed again
+1892            # SELECT * FROM (SELECT 1) UNION ALL SELECT 1
+1893            # Union ALL should be a property of the top select node, not the subquery
+1894            return self._parse_subquery(this, parse_alias=parse_subquery_alias)
+1895        elif self._match(TokenType.VALUES):
+1896            this = self.expression(
+1897                exp.Values,
+1898                expressions=self._parse_csv(self._parse_value),
+1899                alias=self._parse_table_alias(),
+1900            )
+1901        else:
+1902            this = None
 1903
-1904        comments = self._prev_comments
-1905        recursive = self._match(TokenType.RECURSIVE)
-1906
-1907        expressions = []
-1908        while True:
-1909            expressions.append(self._parse_cte())
-1910
-1911            if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH):
-1912                break
-1913            else:
-1914                self._match(TokenType.WITH)
-1915
-1916        return self.expression(
-1917            exp.With, comments=comments, expressions=expressions, recursive=recursive
-1918        )
-1919
-1920    def _parse_cte(self) -> exp.Expression:
-1921        alias = self._parse_table_alias()
-1922        if not alias or not alias.this:
-1923            self.raise_error("Expected CTE to have alias")
-1924
-1925        self._match(TokenType.ALIAS)
-1926
-1927        return self.expression(
-1928            exp.CTE,
-1929            this=self._parse_wrapped(self._parse_statement),
-1930            alias=alias,
-1931        )
+1904        return self._parse_set_operations(this)
+1905
+1906    def _parse_with(self, skip_with_token: bool = False) -> t.Optional[exp.Expression]:
+1907        if not skip_with_token and not self._match(TokenType.WITH):
+1908            return None
+1909
+1910        comments = self._prev_comments
+1911        recursive = self._match(TokenType.RECURSIVE)
+1912
+1913        expressions = []
+1914        while True:
+1915            expressions.append(self._parse_cte())
+1916
+1917            if not self._match(TokenType.COMMA) and not self._match(TokenType.WITH):
+1918                break
+1919            else:
+1920                self._match(TokenType.WITH)
+1921
+1922        return self.expression(
+1923            exp.With, comments=comments, expressions=expressions, recursive=recursive
+1924        )
+1925
+1926    def _parse_cte(self) -> exp.Expression:
+1927        alias = self._parse_table_alias()
+1928        if not alias or not alias.this:
+1929            self.raise_error("Expected CTE to have alias")
+1930
+1931        self._match(TokenType.ALIAS)
 1932
-1933    def _parse_table_alias(
-1934        self, alias_tokens: t.Optional[t.Collection[TokenType]] = None
-1935    ) -> t.Optional[exp.Expression]:
-1936        any_token = self._match(TokenType.ALIAS)
-1937        alias = (
-1938            self._parse_id_var(any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
-1939            or self._parse_string_as_identifier()
-1940        )
-1941
-1942        index = self._index
-1943        if self._match(TokenType.L_PAREN):
-1944            columns = self._parse_csv(self._parse_function_parameter)
-1945            self._match_r_paren() if columns else self._retreat(index)
-1946        else:
-1947            columns = None
-1948
-1949        if not alias and not columns:
-1950            return None
-1951
-1952        return self.expression(exp.TableAlias, this=alias, columns=columns)
-1953
-1954    def _parse_subquery(
-1955        self, this: t.Optional[exp.Expression], parse_alias: bool = True
-1956    ) -> exp.Expression:
-1957        return self.expression(
-1958            exp.Subquery,
-1959            this=this,
-1960            pivots=self._parse_pivots(),
-1961            alias=self._parse_table_alias() if parse_alias else None,
-1962        )
-1963
-1964    def _parse_query_modifiers(
-1965        self, this: t.Optional[exp.Expression]
-1966    ) -> t.Optional[exp.Expression]:
-1967        if isinstance(this, self.MODIFIABLES):
-1968            for key, parser in self.QUERY_MODIFIER_PARSERS.items():
-1969                expression = parser(self)
-1970
-1971                if expression:
-1972                    this.set(key, expression)
-1973        return this
-1974
-1975    def _parse_hint(self) -> t.Optional[exp.Expression]:
-1976        if self._match(TokenType.HINT):
-1977            hints = self._parse_csv(self._parse_function)
-1978            if not self._match_pair(TokenType.STAR, TokenType.SLASH):
-1979                self.raise_error("Expected */ after HINT")
-1980            return self.expression(exp.Hint, expressions=hints)
-1981
-1982        return None
-1983
-1984    def _parse_into(self) -> t.Optional[exp.Expression]:
-1985        if not self._match(TokenType.INTO):
-1986            return None
+1933        return self.expression(
+1934            exp.CTE,
+1935            this=self._parse_wrapped(self._parse_statement),
+1936            alias=alias,
+1937        )
+1938
+1939    def _parse_table_alias(
+1940        self, alias_tokens: t.Optional[t.Collection[TokenType]] = None
+1941    ) -> t.Optional[exp.Expression]:
+1942        any_token = self._match(TokenType.ALIAS)
+1943        alias = (
+1944            self._parse_id_var(any_token=any_token, tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
+1945            or self._parse_string_as_identifier()
+1946        )
+1947
+1948        index = self._index
+1949        if self._match(TokenType.L_PAREN):
+1950            columns = self._parse_csv(self._parse_function_parameter)
+1951            self._match_r_paren() if columns else self._retreat(index)
+1952        else:
+1953            columns = None
+1954
+1955        if not alias and not columns:
+1956            return None
+1957
+1958        return self.expression(exp.TableAlias, this=alias, columns=columns)
+1959
+1960    def _parse_subquery(
+1961        self, this: t.Optional[exp.Expression], parse_alias: bool = True
+1962    ) -> exp.Expression:
+1963        return self.expression(
+1964            exp.Subquery,
+1965            this=this,
+1966            pivots=self._parse_pivots(),
+1967            alias=self._parse_table_alias() if parse_alias else None,
+1968        )
+1969
+1970    def _parse_query_modifiers(
+1971        self, this: t.Optional[exp.Expression]
+1972    ) -> t.Optional[exp.Expression]:
+1973        if isinstance(this, self.MODIFIABLES):
+1974            for key, parser in self.QUERY_MODIFIER_PARSERS.items():
+1975                expression = parser(self)
+1976
+1977                if expression:
+1978                    this.set(key, expression)
+1979        return this
+1980
+1981    def _parse_hint(self) -> t.Optional[exp.Expression]:
+1982        if self._match(TokenType.HINT):
+1983            hints = self._parse_csv(self._parse_function)
+1984            if not self._match_pair(TokenType.STAR, TokenType.SLASH):
+1985                self.raise_error("Expected */ after HINT")
+1986            return self.expression(exp.Hint, expressions=hints)
 1987
-1988        temp = self._match(TokenType.TEMPORARY)
-1989        unlogged = self._match_text_seq("UNLOGGED")
-1990        self._match(TokenType.TABLE)
-1991
-1992        return self.expression(
-1993            exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged
-1994        )
-1995
-1996    def _parse_from(self, modifiers: bool = False) -> t.Optional[exp.Expression]:
-1997        if not self._match(TokenType.FROM):
-1998            return None
-1999
-2000        comments = self._prev_comments
-2001        this = self._parse_table()
-2002
-2003        return self.expression(
-2004            exp.From,
-2005            comments=comments,
-2006            this=self._parse_query_modifiers(this) if modifiers else this,
-2007        )
+1988        return None
+1989
+1990    def _parse_into(self) -> t.Optional[exp.Expression]:
+1991        if not self._match(TokenType.INTO):
+1992            return None
+1993
+1994        temp = self._match(TokenType.TEMPORARY)
+1995        unlogged = self._match_text_seq("UNLOGGED")
+1996        self._match(TokenType.TABLE)
+1997
+1998        return self.expression(
+1999            exp.Into, this=self._parse_table(schema=True), temporary=temp, unlogged=unlogged
+2000        )
+2001
+2002    def _parse_from(self, modifiers: bool = False) -> t.Optional[exp.Expression]:
+2003        if not self._match(TokenType.FROM):
+2004            return None
+2005
+2006        comments = self._prev_comments
+2007        this = self._parse_table()
 2008
-2009    def _parse_match_recognize(self) -> t.Optional[exp.Expression]:
-2010        if not self._match(TokenType.MATCH_RECOGNIZE):
-2011            return None
-2012
-2013        self._match_l_paren()
+2009        return self.expression(
+2010            exp.From,
+2011            comments=comments,
+2012            this=self._parse_query_modifiers(this) if modifiers else this,
+2013        )
 2014
-2015        partition = self._parse_partition_by()
-2016        order = self._parse_order()
-2017        measures = (
-2018            self._parse_csv(self._parse_expression) if self._match_text_seq("MEASURES") else None
-2019        )
+2015    def _parse_match_recognize(self) -> t.Optional[exp.Expression]:
+2016        if not self._match(TokenType.MATCH_RECOGNIZE):
+2017            return None
+2018
+2019        self._match_l_paren()
 2020
-2021        if self._match_text_seq("ONE", "ROW", "PER", "MATCH"):
-2022            rows = exp.Var(this="ONE ROW PER MATCH")
-2023        elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"):
-2024            text = "ALL ROWS PER MATCH"
-2025            if self._match_text_seq("SHOW", "EMPTY", "MATCHES"):
-2026                text += f" SHOW EMPTY MATCHES"
-2027            elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"):
-2028                text += f" OMIT EMPTY MATCHES"
-2029            elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"):
-2030                text += f" WITH UNMATCHED ROWS"
-2031            rows = exp.Var(this=text)
-2032        else:
-2033            rows = None
-2034
-2035        if self._match_text_seq("AFTER", "MATCH", "SKIP"):
-2036            text = "AFTER MATCH SKIP"
-2037            if self._match_text_seq("PAST", "LAST", "ROW"):
-2038                text += f" PAST LAST ROW"
-2039            elif self._match_text_seq("TO", "NEXT", "ROW"):
-2040                text += f" TO NEXT ROW"
-2041            elif self._match_text_seq("TO", "FIRST"):
-2042                text += f" TO FIRST {self._advance_any().text}"  # type: ignore
-2043            elif self._match_text_seq("TO", "LAST"):
-2044                text += f" TO LAST {self._advance_any().text}"  # type: ignore
-2045            after = exp.Var(this=text)
-2046        else:
-2047            after = None
-2048
-2049        if self._match_text_seq("PATTERN"):
-2050            self._match_l_paren()
-2051
-2052            if not self._curr:
-2053                self.raise_error("Expecting )", self._curr)
+2021        partition = self._parse_partition_by()
+2022        order = self._parse_order()
+2023        measures = (
+2024            self._parse_csv(self._parse_expression) if self._match_text_seq("MEASURES") else None
+2025        )
+2026
+2027        if self._match_text_seq("ONE", "ROW", "PER", "MATCH"):
+2028            rows = exp.Var(this="ONE ROW PER MATCH")
+2029        elif self._match_text_seq("ALL", "ROWS", "PER", "MATCH"):
+2030            text = "ALL ROWS PER MATCH"
+2031            if self._match_text_seq("SHOW", "EMPTY", "MATCHES"):
+2032                text += f" SHOW EMPTY MATCHES"
+2033            elif self._match_text_seq("OMIT", "EMPTY", "MATCHES"):
+2034                text += f" OMIT EMPTY MATCHES"
+2035            elif self._match_text_seq("WITH", "UNMATCHED", "ROWS"):
+2036                text += f" WITH UNMATCHED ROWS"
+2037            rows = exp.Var(this=text)
+2038        else:
+2039            rows = None
+2040
+2041        if self._match_text_seq("AFTER", "MATCH", "SKIP"):
+2042            text = "AFTER MATCH SKIP"
+2043            if self._match_text_seq("PAST", "LAST", "ROW"):
+2044                text += f" PAST LAST ROW"
+2045            elif self._match_text_seq("TO", "NEXT", "ROW"):
+2046                text += f" TO NEXT ROW"
+2047            elif self._match_text_seq("TO", "FIRST"):
+2048                text += f" TO FIRST {self._advance_any().text}"  # type: ignore
+2049            elif self._match_text_seq("TO", "LAST"):
+2050                text += f" TO LAST {self._advance_any().text}"  # type: ignore
+2051            after = exp.Var(this=text)
+2052        else:
+2053            after = None
 2054
-2055            paren = 1
-2056            start = self._curr
+2055        if self._match_text_seq("PATTERN"):
+2056            self._match_l_paren()
 2057
-2058            while self._curr and paren > 0:
-2059                if self._curr.token_type == TokenType.L_PAREN:
-2060                    paren += 1
-2061                if self._curr.token_type == TokenType.R_PAREN:
-2062                    paren -= 1
-2063                end = self._prev
-2064                self._advance()
-2065            if paren > 0:
-2066                self.raise_error("Expecting )", self._curr)
-2067            pattern = exp.Var(this=self._find_sql(start, end))
-2068        else:
-2069            pattern = None
-2070
-2071        define = (
-2072            self._parse_csv(
-2073                lambda: self.expression(
-2074                    exp.Alias,
-2075                    alias=self._parse_id_var(any_token=True),
-2076                    this=self._match(TokenType.ALIAS) and self._parse_conjunction(),
-2077                )
-2078            )
-2079            if self._match_text_seq("DEFINE")
-2080            else None
-2081        )
-2082
-2083        self._match_r_paren()
-2084
-2085        return self.expression(
-2086            exp.MatchRecognize,
-2087            partition_by=partition,
-2088            order=order,
-2089            measures=measures,
-2090            rows=rows,
-2091            after=after,
-2092            pattern=pattern,
-2093            define=define,
-2094            alias=self._parse_table_alias(),
-2095        )
-2096
-2097    def _parse_lateral(self) -> t.Optional[exp.Expression]:
-2098        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY)
-2099        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY)
-2100
-2101        if outer_apply or cross_apply:
-2102            this = self._parse_select(table=True)
-2103            view = None
-2104            outer = not cross_apply
-2105        elif self._match(TokenType.LATERAL):
-2106            this = self._parse_select(table=True)
-2107            view = self._match(TokenType.VIEW)
-2108            outer = self._match(TokenType.OUTER)
-2109        else:
-2110            return None
-2111
-2112        if not this:
-2113            this = self._parse_function() or self._parse_id_var(any_token=False)
-2114            while self._match(TokenType.DOT):
-2115                this = exp.Dot(
-2116                    this=this,
-2117                    expression=self._parse_function() or self._parse_id_var(any_token=False),
-2118                )
-2119
-2120        table_alias: t.Optional[exp.Expression]
-2121
-2122        if view:
-2123            table = self._parse_id_var(any_token=False)
-2124            columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else []
-2125            table_alias = self.expression(exp.TableAlias, this=table, columns=columns)
-2126        else:
-2127            table_alias = self._parse_table_alias()
-2128
-2129        expression = self.expression(
-2130            exp.Lateral,
-2131            this=this,
-2132            view=view,
-2133            outer=outer,
-2134            alias=table_alias,
-2135        )
-2136
-2137        return expression
-2138
-2139    def _parse_join_side_and_kind(
-2140        self,
-2141    ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
-2142        return (
-2143            self._match(TokenType.NATURAL) and self._prev,
-2144            self._match_set(self.JOIN_SIDES) and self._prev,
-2145            self._match_set(self.JOIN_KINDS) and self._prev,
-2146        )
-2147
-2148    def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
-2149        if self._match(TokenType.COMMA):
-2150            return self.expression(exp.Join, this=self._parse_table())
-2151
-2152        index = self._index
-2153        natural, side, kind = self._parse_join_side_and_kind()
-2154        hint = self._prev.text if self._match_texts(self.JOIN_HINTS) else None
-2155        join = self._match(TokenType.JOIN)
-2156
-2157        if not skip_join_token and not join:
-2158            self._retreat(index)
-2159            kind = None
-2160            natural = None
-2161            side = None
+2058            if not self._curr:
+2059                self.raise_error("Expecting )", self._curr)
+2060
+2061            paren = 1
+2062            start = self._curr
+2063
+2064            while self._curr and paren > 0:
+2065                if self._curr.token_type == TokenType.L_PAREN:
+2066                    paren += 1
+2067                if self._curr.token_type == TokenType.R_PAREN:
+2068                    paren -= 1
+2069                end = self._prev
+2070                self._advance()
+2071            if paren > 0:
+2072                self.raise_error("Expecting )", self._curr)
+2073            pattern = exp.Var(this=self._find_sql(start, end))
+2074        else:
+2075            pattern = None
+2076
+2077        define = (
+2078            self._parse_csv(
+2079                lambda: self.expression(
+2080                    exp.Alias,
+2081                    alias=self._parse_id_var(any_token=True),
+2082                    this=self._match(TokenType.ALIAS) and self._parse_conjunction(),
+2083                )
+2084            )
+2085            if self._match_text_seq("DEFINE")
+2086            else None
+2087        )
+2088
+2089        self._match_r_paren()
+2090
+2091        return self.expression(
+2092            exp.MatchRecognize,
+2093            partition_by=partition,
+2094            order=order,
+2095            measures=measures,
+2096            rows=rows,
+2097            after=after,
+2098            pattern=pattern,
+2099            define=define,
+2100            alias=self._parse_table_alias(),
+2101        )
+2102
+2103    def _parse_lateral(self) -> t.Optional[exp.Expression]:
+2104        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY)
+2105        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY)
+2106
+2107        if outer_apply or cross_apply:
+2108            this = self._parse_select(table=True)
+2109            view = None
+2110            outer = not cross_apply
+2111        elif self._match(TokenType.LATERAL):
+2112            this = self._parse_select(table=True)
+2113            view = self._match(TokenType.VIEW)
+2114            outer = self._match(TokenType.OUTER)
+2115        else:
+2116            return None
+2117
+2118        if not this:
+2119            this = self._parse_function() or self._parse_id_var(any_token=False)
+2120            while self._match(TokenType.DOT):
+2121                this = exp.Dot(
+2122                    this=this,
+2123                    expression=self._parse_function() or self._parse_id_var(any_token=False),
+2124                )
+2125
+2126        table_alias: t.Optional[exp.Expression]
+2127
+2128        if view:
+2129            table = self._parse_id_var(any_token=False)
+2130            columns = self._parse_csv(self._parse_id_var) if self._match(TokenType.ALIAS) else []
+2131            table_alias = self.expression(exp.TableAlias, this=table, columns=columns)
+2132        else:
+2133            table_alias = self._parse_table_alias()
+2134
+2135        expression = self.expression(
+2136            exp.Lateral,
+2137            this=this,
+2138            view=view,
+2139            outer=outer,
+2140            alias=table_alias,
+2141        )
+2142
+2143        return expression
+2144
+2145    def _parse_join_side_and_kind(
+2146        self,
+2147    ) -> t.Tuple[t.Optional[Token], t.Optional[Token], t.Optional[Token]]:
+2148        return (
+2149            self._match(TokenType.NATURAL) and self._prev,
+2150            self._match_set(self.JOIN_SIDES) and self._prev,
+2151            self._match_set(self.JOIN_KINDS) and self._prev,
+2152        )
+2153
+2154    def _parse_join(self, skip_join_token: bool = False) -> t.Optional[exp.Expression]:
+2155        if self._match(TokenType.COMMA):
+2156            return self.expression(exp.Join, this=self._parse_table())
+2157
+2158        index = self._index
+2159        natural, side, kind = self._parse_join_side_and_kind()
+2160        hint = self._prev.text if self._match_texts(self.JOIN_HINTS) else None
+2161        join = self._match(TokenType.JOIN)
 2162
-2163        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY, False)
-2164        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY, False)
-2165
-2166        if not skip_join_token and not join and not outer_apply and not cross_apply:
-2167            return None
+2163        if not skip_join_token and not join:
+2164            self._retreat(index)
+2165            kind = None
+2166            natural = None
+2167            side = None
 2168
-2169        if outer_apply:
-2170            side = Token(TokenType.LEFT, "LEFT")
+2169        outer_apply = self._match_pair(TokenType.OUTER, TokenType.APPLY, False)
+2170        cross_apply = self._match_pair(TokenType.CROSS, TokenType.APPLY, False)
 2171
-2172        kwargs: t.Dict[
-2173            str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]]
-2174        ] = {"this": self._parse_table()}
-2175
-2176        if natural:
-2177            kwargs["natural"] = True
-2178        if side:
-2179            kwargs["side"] = side.text
-2180        if kind:
-2181            kwargs["kind"] = kind.text
-2182        if hint:
-2183            kwargs["hint"] = hint
-2184
-2185        if self._match(TokenType.ON):
-2186            kwargs["on"] = self._parse_conjunction()
-2187        elif self._match(TokenType.USING):
-2188            kwargs["using"] = self._parse_wrapped_id_vars()
-2189
-2190        return self.expression(exp.Join, **kwargs)  # type: ignore
-2191
-2192    def _parse_index(self) -> exp.Expression:
-2193        index = self._parse_id_var()
-2194        self._match(TokenType.ON)
-2195        self._match(TokenType.TABLE)  # hive
-2196
-2197        return self.expression(
-2198            exp.Index,
-2199            this=index,
-2200            table=self.expression(exp.Table, this=self._parse_id_var()),
-2201            columns=self._parse_expression(),
-2202        )
-2203
-2204    def _parse_create_table_index(self) -> t.Optional[exp.Expression]:
-2205        unique = self._match(TokenType.UNIQUE)
-2206        primary = self._match_text_seq("PRIMARY")
-2207        amp = self._match_text_seq("AMP")
-2208        if not self._match(TokenType.INDEX):
-2209            return None
-2210        index = self._parse_id_var()
-2211        columns = None
-2212        if self._match(TokenType.L_PAREN, advance=False):
-2213            columns = self._parse_wrapped_csv(self._parse_column)
-2214        return self.expression(
-2215            exp.Index,
-2216            this=index,
-2217            columns=columns,
-2218            unique=unique,
-2219            primary=primary,
-2220            amp=amp,
-2221        )
-2222
-2223    def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
-2224        return (
-2225            (not schema and self._parse_function())
-2226            or self._parse_id_var(any_token=False)
-2227            or self._parse_string_as_identifier()
-2228            or self._parse_placeholder()
-2229        )
-2230
-2231    def _parse_table_parts(self, schema: bool = False) -> exp.Table:
-2232        catalog = None
-2233        db = None
-2234        table = self._parse_table_part(schema=schema)
-2235
-2236        while self._match(TokenType.DOT):
-2237            if catalog:
-2238                # This allows nesting the table in arbitrarily many dot expressions if needed
-2239                table = self.expression(
-2240                    exp.Dot, this=table, expression=self._parse_table_part(schema=schema)
-2241                )
-2242            else:
-2243                catalog = db
-2244                db = table
-2245                table = self._parse_table_part(schema=schema)
+2172        if not skip_join_token and not join and not outer_apply and not cross_apply:
+2173            return None
+2174
+2175        if outer_apply:
+2176            side = Token(TokenType.LEFT, "LEFT")
+2177
+2178        kwargs: t.Dict[
+2179            str, t.Optional[exp.Expression] | bool | str | t.List[t.Optional[exp.Expression]]
+2180        ] = {"this": self._parse_table()}
+2181
+2182        if natural:
+2183            kwargs["natural"] = True
+2184        if side:
+2185            kwargs["side"] = side.text
+2186        if kind:
+2187            kwargs["kind"] = kind.text
+2188        if hint:
+2189            kwargs["hint"] = hint
+2190
+2191        if self._match(TokenType.ON):
+2192            kwargs["on"] = self._parse_conjunction()
+2193        elif self._match(TokenType.USING):
+2194            kwargs["using"] = self._parse_wrapped_id_vars()
+2195
+2196        return self.expression(exp.Join, **kwargs)  # type: ignore
+2197
+2198    def _parse_index(
+2199        self,
+2200        index: t.Optional[exp.Expression] = None,
+2201    ) -> t.Optional[exp.Expression]:
+2202        if index:
+2203            unique = None
+2204            primary = None
+2205            amp = None
+2206
+2207            self._match(TokenType.ON)
+2208            self._match(TokenType.TABLE)  # hive
+2209            table = self._parse_table_parts(schema=True)
+2210        else:
+2211            unique = self._match(TokenType.UNIQUE)
+2212            primary = self._match_text_seq("PRIMARY")
+2213            amp = self._match_text_seq("AMP")
+2214            if not self._match(TokenType.INDEX):
+2215                return None
+2216            index = self._parse_id_var()
+2217            table = None
+2218
+2219        if self._match(TokenType.L_PAREN, advance=False):
+2220            columns = self._parse_wrapped_csv(self._parse_ordered)
+2221        else:
+2222            columns = None
+2223
+2224        return self.expression(
+2225            exp.Index,
+2226            this=index,
+2227            table=table,
+2228            columns=columns,
+2229            unique=unique,
+2230            primary=primary,
+2231            amp=amp,
+2232        )
+2233
+2234    def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
+2235        return (
+2236            (not schema and self._parse_function())
+2237            or self._parse_id_var(any_token=False)
+2238            or self._parse_string_as_identifier()
+2239            or self._parse_placeholder()
+2240        )
+2241
+2242    def _parse_table_parts(self, schema: bool = False) -> exp.Table:
+2243        catalog = None
+2244        db = None
+2245        table = self._parse_table_part(schema=schema)
 2246
-2247        if not table:
-2248            self.raise_error(f"Expected table name but got {self._curr}")
-2249
-2250        return self.expression(
-2251            exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots()
-2252        )
-2253
-2254    def _parse_table(
-2255        self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
-2256    ) -> t.Optional[exp.Expression]:
-2257        lateral = self._parse_lateral()
-2258        if lateral:
-2259            return lateral
+2247        while self._match(TokenType.DOT):
+2248            if catalog:
+2249                # This allows nesting the table in arbitrarily many dot expressions if needed
+2250                table = self.expression(
+2251                    exp.Dot, this=table, expression=self._parse_table_part(schema=schema)
+2252                )
+2253            else:
+2254                catalog = db
+2255                db = table
+2256                table = self._parse_table_part(schema=schema)
+2257
+2258        if not table:
+2259            self.raise_error(f"Expected table name but got {self._curr}")
 2260
-2261        unnest = self._parse_unnest()
-2262        if unnest:
-2263            return unnest
+2261        return self.expression(
+2262            exp.Table, this=table, db=db, catalog=catalog, pivots=self._parse_pivots()
+2263        )
 2264
-2265        values = self._parse_derived_table_values()
-2266        if values:
-2267            return values
-2268
-2269        subquery = self._parse_select(table=True)
-2270        if subquery:
-2271            if not subquery.args.get("pivots"):
-2272                subquery.set("pivots", self._parse_pivots())
-2273            return subquery
-2274
-2275        this: exp.Expression = self._parse_table_parts(schema=schema)
-2276
-2277        if schema:
-2278            return self._parse_schema(this=this)
+2265    def _parse_table(
+2266        self, schema: bool = False, alias_tokens: t.Optional[t.Collection[TokenType]] = None
+2267    ) -> t.Optional[exp.Expression]:
+2268        lateral = self._parse_lateral()
+2269        if lateral:
+2270            return lateral
+2271
+2272        unnest = self._parse_unnest()
+2273        if unnest:
+2274            return unnest
+2275
+2276        values = self._parse_derived_table_values()
+2277        if values:
+2278            return values
 2279
-2280        if self.alias_post_tablesample:
-2281            table_sample = self._parse_table_sample()
-2282
-2283        alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
-2284        if alias:
-2285            this.set("alias", alias)
-2286
-2287        if not this.args.get("pivots"):
-2288            this.set("pivots", self._parse_pivots())
-2289
-2290        if self._match_pair(TokenType.WITH, TokenType.L_PAREN):
-2291            this.set(
-2292                "hints",
-2293                self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)),
-2294            )
-2295            self._match_r_paren()
-2296
-2297        if not self.alias_post_tablesample:
-2298            table_sample = self._parse_table_sample()
-2299
-2300        if table_sample:
-2301            table_sample.set("this", this)
-2302            this = table_sample
-2303
-2304        return this
-2305
-2306    def _parse_unnest(self) -> t.Optional[exp.Expression]:
-2307        if not self._match(TokenType.UNNEST):
-2308            return None
-2309
-2310        expressions = self._parse_wrapped_csv(self._parse_type)
-2311        ordinality = self._match_pair(TokenType.WITH, TokenType.ORDINALITY)
-2312        alias = self._parse_table_alias()
-2313
-2314        if alias and self.unnest_column_only:
-2315            if alias.args.get("columns"):
-2316                self.raise_error("Unexpected extra column alias in unnest.")
-2317            alias.set("columns", [alias.this])
-2318            alias.set("this", None)
-2319
-2320        offset = None
-2321        if self._match_pair(TokenType.WITH, TokenType.OFFSET):
-2322            self._match(TokenType.ALIAS)
-2323            offset = self._parse_id_var() or exp.Identifier(this="offset")
+2280        subquery = self._parse_select(table=True)
+2281        if subquery:
+2282            if not subquery.args.get("pivots"):
+2283                subquery.set("pivots", self._parse_pivots())
+2284            return subquery
+2285
+2286        this: exp.Expression = self._parse_table_parts(schema=schema)
+2287
+2288        if schema:
+2289            return self._parse_schema(this=this)
+2290
+2291        if self.alias_post_tablesample:
+2292            table_sample = self._parse_table_sample()
+2293
+2294        alias = self._parse_table_alias(alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS)
+2295        if alias:
+2296            this.set("alias", alias)
+2297
+2298        if not this.args.get("pivots"):
+2299            this.set("pivots", self._parse_pivots())
+2300
+2301        if self._match_pair(TokenType.WITH, TokenType.L_PAREN):
+2302            this.set(
+2303                "hints",
+2304                self._parse_csv(lambda: self._parse_function() or self._parse_var(any_token=True)),
+2305            )
+2306            self._match_r_paren()
+2307
+2308        if not self.alias_post_tablesample:
+2309            table_sample = self._parse_table_sample()
+2310
+2311        if table_sample:
+2312            table_sample.set("this", this)
+2313            this = table_sample
+2314
+2315        return this
+2316
+2317    def _parse_unnest(self) -> t.Optional[exp.Expression]:
+2318        if not self._match(TokenType.UNNEST):
+2319            return None
+2320
+2321        expressions = self._parse_wrapped_csv(self._parse_type)
+2322        ordinality = self._match_pair(TokenType.WITH, TokenType.ORDINALITY)
+2323        alias = self._parse_table_alias()
 2324
-2325        return self.expression(
-2326            exp.Unnest,
-2327            expressions=expressions,
-2328            ordinality=ordinality,
-2329            alias=alias,
-2330            offset=offset,
-2331        )
-2332
-2333    def _parse_derived_table_values(self) -> t.Optional[exp.Expression]:
-2334        is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES)
-2335        if not is_derived and not self._match(TokenType.VALUES):
-2336            return None
-2337
-2338        expressions = self._parse_csv(self._parse_value)
-2339
-2340        if is_derived:
-2341            self._match_r_paren()
-2342
-2343        return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias())
-2344
-2345    def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.Expression]:
-2346        if not self._match(TokenType.TABLE_SAMPLE) and not (
-2347            as_modifier and self._match_text_seq("USING", "SAMPLE")
-2348        ):
-2349            return None
+2325        if alias and self.unnest_column_only:
+2326            if alias.args.get("columns"):
+2327                self.raise_error("Unexpected extra column alias in unnest.")
+2328            alias.set("columns", [alias.this])
+2329            alias.set("this", None)
+2330
+2331        offset = None
+2332        if self._match_pair(TokenType.WITH, TokenType.OFFSET):
+2333            self._match(TokenType.ALIAS)
+2334            offset = self._parse_id_var() or exp.Identifier(this="offset")
+2335
+2336        return self.expression(
+2337            exp.Unnest,
+2338            expressions=expressions,
+2339            ordinality=ordinality,
+2340            alias=alias,
+2341            offset=offset,
+2342        )
+2343
+2344    def _parse_derived_table_values(self) -> t.Optional[exp.Expression]:
+2345        is_derived = self._match_pair(TokenType.L_PAREN, TokenType.VALUES)
+2346        if not is_derived and not self._match(TokenType.VALUES):
+2347            return None
+2348
+2349        expressions = self._parse_csv(self._parse_value)
 2350
-2351        bucket_numerator = None
-2352        bucket_denominator = None
-2353        bucket_field = None
-2354        percent = None
-2355        rows = None
-2356        size = None
-2357        seed = None
-2358
-2359        kind = (
-2360            self._prev.text if self._prev.token_type == TokenType.TABLE_SAMPLE else "USING SAMPLE"
-2361        )
-2362        method = self._parse_var(tokens=(TokenType.ROW,))
-2363
-2364        self._match(TokenType.L_PAREN)
-2365
-2366        num = self._parse_number()
-2367
-2368        if self._match_text_seq("BUCKET"):
-2369            bucket_numerator = self._parse_number()
-2370            self._match_text_seq("OUT", "OF")
-2371            bucket_denominator = bucket_denominator = self._parse_number()
-2372            self._match(TokenType.ON)
-2373            bucket_field = self._parse_field()
-2374        elif self._match_set((TokenType.PERCENT, TokenType.MOD)):
-2375            percent = num
-2376        elif self._match(TokenType.ROWS):
-2377            rows = num
-2378        else:
-2379            size = num
-2380
-2381        self._match(TokenType.R_PAREN)
-2382
-2383        if self._match(TokenType.L_PAREN):
-2384            method = self._parse_var()
-2385            seed = self._match(TokenType.COMMA) and self._parse_number()
-2386            self._match_r_paren()
-2387        elif self._match_texts(("SEED", "REPEATABLE")):
-2388            seed = self._parse_wrapped(self._parse_number)
-2389
-2390        return self.expression(
-2391            exp.TableSample,
-2392            method=method,
-2393            bucket_numerator=bucket_numerator,
-2394            bucket_denominator=bucket_denominator,
-2395            bucket_field=bucket_field,
-2396            percent=percent,
-2397            rows=rows,
-2398            size=size,
-2399            seed=seed,
-2400            kind=kind,
-2401        )
-2402
-2403    def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]:
-2404        return list(iter(self._parse_pivot, None))
-2405
-2406    def _parse_pivot(self) -> t.Optional[exp.Expression]:
-2407        index = self._index
-2408
-2409        if self._match(TokenType.PIVOT):
-2410            unpivot = False
-2411        elif self._match(TokenType.UNPIVOT):
-2412            unpivot = True
-2413        else:
-2414            return None
-2415
-2416        expressions = []
-2417        field = None
-2418
-2419        if not self._match(TokenType.L_PAREN):
-2420            self._retreat(index)
-2421            return None
-2422
-2423        if unpivot:
-2424            expressions = self._parse_csv(self._parse_column)
-2425        else:
-2426            expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function()))
-2427
-2428        if not expressions:
-2429            self.raise_error("Failed to parse PIVOT's aggregation list")
-2430
-2431        if not self._match(TokenType.FOR):
-2432            self.raise_error("Expecting FOR")
+2351        if is_derived:
+2352            self._match_r_paren()
+2353
+2354        return self.expression(exp.Values, expressions=expressions, alias=self._parse_table_alias())
+2355
+2356    def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.Expression]:
+2357        if not self._match(TokenType.TABLE_SAMPLE) and not (
+2358            as_modifier and self._match_text_seq("USING", "SAMPLE")
+2359        ):
+2360            return None
+2361
+2362        bucket_numerator = None
+2363        bucket_denominator = None
+2364        bucket_field = None
+2365        percent = None
+2366        rows = None
+2367        size = None
+2368        seed = None
+2369
+2370        kind = (
+2371            self._prev.text if self._prev.token_type == TokenType.TABLE_SAMPLE else "USING SAMPLE"
+2372        )
+2373        method = self._parse_var(tokens=(TokenType.ROW,))
+2374
+2375        self._match(TokenType.L_PAREN)
+2376
+2377        num = self._parse_number()
+2378
+2379        if self._match_text_seq("BUCKET"):
+2380            bucket_numerator = self._parse_number()
+2381            self._match_text_seq("OUT", "OF")
+2382            bucket_denominator = bucket_denominator = self._parse_number()
+2383            self._match(TokenType.ON)
+2384            bucket_field = self._parse_field()
+2385        elif self._match_set((TokenType.PERCENT, TokenType.MOD)):
+2386            percent = num
+2387        elif self._match(TokenType.ROWS):
+2388            rows = num
+2389        else:
+2390            size = num
+2391
+2392        self._match(TokenType.R_PAREN)
+2393
+2394        if self._match(TokenType.L_PAREN):
+2395            method = self._parse_var()
+2396            seed = self._match(TokenType.COMMA) and self._parse_number()
+2397            self._match_r_paren()
+2398        elif self._match_texts(("SEED", "REPEATABLE")):
+2399            seed = self._parse_wrapped(self._parse_number)
+2400
+2401        return self.expression(
+2402            exp.TableSample,
+2403            method=method,
+2404            bucket_numerator=bucket_numerator,
+2405            bucket_denominator=bucket_denominator,
+2406            bucket_field=bucket_field,
+2407            percent=percent,
+2408            rows=rows,
+2409            size=size,
+2410            seed=seed,
+2411            kind=kind,
+2412        )
+2413
+2414    def _parse_pivots(self) -> t.List[t.Optional[exp.Expression]]:
+2415        return list(iter(self._parse_pivot, None))
+2416
+2417    def _parse_pivot(self) -> t.Optional[exp.Expression]:
+2418        index = self._index
+2419
+2420        if self._match(TokenType.PIVOT):
+2421            unpivot = False
+2422        elif self._match(TokenType.UNPIVOT):
+2423            unpivot = True
+2424        else:
+2425            return None
+2426
+2427        expressions = []
+2428        field = None
+2429
+2430        if not self._match(TokenType.L_PAREN):
+2431            self._retreat(index)
+2432            return None
 2433
-2434        value = self._parse_column()
-2435
-2436        if not self._match(TokenType.IN):
-2437            self.raise_error("Expecting IN")
+2434        if unpivot:
+2435            expressions = self._parse_csv(self._parse_column)
+2436        else:
+2437            expressions = self._parse_csv(lambda: self._parse_alias(self._parse_function()))
 2438
-2439        field = self._parse_in(value, alias=True)
-2440
-2441        self._match_r_paren()
-2442
-2443        pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot)
+2439        if not expressions:
+2440            self.raise_error("Failed to parse PIVOT's aggregation list")
+2441
+2442        if not self._match(TokenType.FOR):
+2443            self.raise_error("Expecting FOR")
 2444
-2445        if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False):
-2446            pivot.set("alias", self._parse_table_alias())
-2447
-2448        if not unpivot:
-2449            names = self._pivot_column_names(t.cast(t.List[exp.Expression], expressions))
-2450
-2451            columns: t.List[exp.Expression] = []
-2452            for fld in pivot.args["field"].expressions:
-2453                field_name = fld.sql() if self.IDENTIFY_PIVOT_STRINGS else fld.alias_or_name
-2454                for name in names:
-2455                    if self.PREFIXED_PIVOT_COLUMNS:
-2456                        name = f"{name}_{field_name}" if name else field_name
-2457                    else:
-2458                        name = f"{field_name}_{name}" if name else field_name
-2459
-2460                    columns.append(exp.to_identifier(name))
+2445        value = self._parse_column()
+2446
+2447        if not self._match(TokenType.IN):
+2448            self.raise_error("Expecting IN")
+2449
+2450        field = self._parse_in(value, alias=True)
+2451
+2452        self._match_r_paren()
+2453
+2454        pivot = self.expression(exp.Pivot, expressions=expressions, field=field, unpivot=unpivot)
+2455
+2456        if not self._match_set((TokenType.PIVOT, TokenType.UNPIVOT), advance=False):
+2457            pivot.set("alias", self._parse_table_alias())
+2458
+2459        if not unpivot:
+2460            names = self._pivot_column_names(t.cast(t.List[exp.Expression], expressions))
 2461
-2462            pivot.set("columns", columns)
-2463
-2464        return pivot
-2465
-2466    def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
-2467        return [agg.alias for agg in aggregations]
-2468
-2469    def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]:
-2470        if not skip_where_token and not self._match(TokenType.WHERE):
-2471            return None
+2462            columns: t.List[exp.Expression] = []
+2463            for fld in pivot.args["field"].expressions:
+2464                field_name = fld.sql() if self.IDENTIFY_PIVOT_STRINGS else fld.alias_or_name
+2465                for name in names:
+2466                    if self.PREFIXED_PIVOT_COLUMNS:
+2467                        name = f"{name}_{field_name}" if name else field_name
+2468                    else:
+2469                        name = f"{field_name}_{name}" if name else field_name
+2470
+2471                    columns.append(exp.to_identifier(name))
 2472
-2473        return self.expression(
-2474            exp.Where, comments=self._prev_comments, this=self._parse_conjunction()
-2475        )
+2473            pivot.set("columns", columns)
+2474
+2475        return pivot
 2476
-2477    def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]:
-2478        if not skip_group_by_token and not self._match(TokenType.GROUP_BY):
-2479            return None
-2480
-2481        elements = defaultdict(list)
-2482
-2483        while True:
-2484            expressions = self._parse_csv(self._parse_conjunction)
-2485            if expressions:
-2486                elements["expressions"].extend(expressions)
+2477    def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
+2478        return [agg.alias for agg in aggregations]
+2479
+2480    def _parse_where(self, skip_where_token: bool = False) -> t.Optional[exp.Expression]:
+2481        if not skip_where_token and not self._match(TokenType.WHERE):
+2482            return None
+2483
+2484        return self.expression(
+2485            exp.Where, comments=self._prev_comments, this=self._parse_conjunction()
+2486        )
 2487
-2488            grouping_sets = self._parse_grouping_sets()
-2489            if grouping_sets:
-2490                elements["grouping_sets"].extend(grouping_sets)
+2488    def _parse_group(self, skip_group_by_token: bool = False) -> t.Optional[exp.Expression]:
+2489        if not skip_group_by_token and not self._match(TokenType.GROUP_BY):
+2490            return None
 2491
-2492            rollup = None
-2493            cube = None
-2494            totals = None
-2495
-2496            with_ = self._match(TokenType.WITH)
-2497            if self._match(TokenType.ROLLUP):
-2498                rollup = with_ or self._parse_wrapped_csv(self._parse_column)
-2499                elements["rollup"].extend(ensure_list(rollup))
-2500
-2501            if self._match(TokenType.CUBE):
-2502                cube = with_ or self._parse_wrapped_csv(self._parse_column)
-2503                elements["cube"].extend(ensure_list(cube))
-2504
-2505            if self._match_text_seq("TOTALS"):
-2506                totals = True
-2507                elements["totals"] = True  # type: ignore
-2508
-2509            if not (grouping_sets or rollup or cube or totals):
-2510                break
+2492        elements = defaultdict(list)
+2493
+2494        while True:
+2495            expressions = self._parse_csv(self._parse_conjunction)
+2496            if expressions:
+2497                elements["expressions"].extend(expressions)
+2498
+2499            grouping_sets = self._parse_grouping_sets()
+2500            if grouping_sets:
+2501                elements["grouping_sets"].extend(grouping_sets)
+2502
+2503            rollup = None
+2504            cube = None
+2505            totals = None
+2506
+2507            with_ = self._match(TokenType.WITH)
+2508            if self._match(TokenType.ROLLUP):
+2509                rollup = with_ or self._parse_wrapped_csv(self._parse_column)
+2510                elements["rollup"].extend(ensure_list(rollup))
 2511
-2512        return self.expression(exp.Group, **elements)  # type: ignore
-2513
-2514    def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-2515        if not self._match(TokenType.GROUPING_SETS):
-2516            return None
-2517
-2518        return self._parse_wrapped_csv(self._parse_grouping_set)
+2512            if self._match(TokenType.CUBE):
+2513                cube = with_ or self._parse_wrapped_csv(self._parse_column)
+2514                elements["cube"].extend(ensure_list(cube))
+2515
+2516            if self._match_text_seq("TOTALS"):
+2517                totals = True
+2518                elements["totals"] = True  # type: ignore
 2519
-2520    def _parse_grouping_set(self) -> t.Optional[exp.Expression]:
-2521        if self._match(TokenType.L_PAREN):
-2522            grouping_set = self._parse_csv(self._parse_column)
-2523            self._match_r_paren()
-2524            return self.expression(exp.Tuple, expressions=grouping_set)
-2525
-2526        return self._parse_column()
-2527
-2528    def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]:
-2529        if not skip_having_token and not self._match(TokenType.HAVING):
-2530            return None
-2531        return self.expression(exp.Having, this=self._parse_conjunction())
-2532
-2533    def _parse_qualify(self) -> t.Optional[exp.Expression]:
-2534        if not self._match(TokenType.QUALIFY):
-2535            return None
-2536        return self.expression(exp.Qualify, this=self._parse_conjunction())
-2537
-2538    def _parse_order(
-2539        self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False
-2540    ) -> t.Optional[exp.Expression]:
-2541        if not skip_order_token and not self._match(TokenType.ORDER_BY):
-2542            return this
+2520            if not (grouping_sets or rollup or cube or totals):
+2521                break
+2522
+2523        return self.expression(exp.Group, **elements)  # type: ignore
+2524
+2525    def _parse_grouping_sets(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+2526        if not self._match(TokenType.GROUPING_SETS):
+2527            return None
+2528
+2529        return self._parse_wrapped_csv(self._parse_grouping_set)
+2530
+2531    def _parse_grouping_set(self) -> t.Optional[exp.Expression]:
+2532        if self._match(TokenType.L_PAREN):
+2533            grouping_set = self._parse_csv(self._parse_column)
+2534            self._match_r_paren()
+2535            return self.expression(exp.Tuple, expressions=grouping_set)
+2536
+2537        return self._parse_column()
+2538
+2539    def _parse_having(self, skip_having_token: bool = False) -> t.Optional[exp.Expression]:
+2540        if not skip_having_token and not self._match(TokenType.HAVING):
+2541            return None
+2542        return self.expression(exp.Having, this=self._parse_conjunction())
 2543
-2544        return self.expression(
-2545            exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered)
-2546        )
-2547
-2548    def _parse_sort(
-2549        self, exp_class: t.Type[exp.Expression], *texts: str
-2550    ) -> t.Optional[exp.Expression]:
-2551        if not self._match_text_seq(*texts):
-2552            return None
-2553        return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered))
+2544    def _parse_qualify(self) -> t.Optional[exp.Expression]:
+2545        if not self._match(TokenType.QUALIFY):
+2546            return None
+2547        return self.expression(exp.Qualify, this=self._parse_conjunction())
+2548
+2549    def _parse_order(
+2550        self, this: t.Optional[exp.Expression] = None, skip_order_token: bool = False
+2551    ) -> t.Optional[exp.Expression]:
+2552        if not skip_order_token and not self._match(TokenType.ORDER_BY):
+2553            return this
 2554
-2555    def _parse_ordered(self) -> exp.Expression:
-2556        this = self._parse_conjunction()
-2557        self._match(TokenType.ASC)
-2558        is_desc = self._match(TokenType.DESC)
-2559        is_nulls_first = self._match_text_seq("NULLS", "FIRST")
-2560        is_nulls_last = self._match_text_seq("NULLS", "LAST")
-2561        desc = is_desc or False
-2562        asc = not desc
-2563        nulls_first = is_nulls_first or False
-2564        explicitly_null_ordered = is_nulls_first or is_nulls_last
-2565        if (
-2566            not explicitly_null_ordered
-2567            and (
-2568                (asc and self.null_ordering == "nulls_are_small")
-2569                or (desc and self.null_ordering != "nulls_are_small")
-2570            )
-2571            and self.null_ordering != "nulls_are_last"
-2572        ):
-2573            nulls_first = True
-2574
-2575        return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first)
-2576
-2577    def _parse_limit(
-2578        self, this: t.Optional[exp.Expression] = None, top: bool = False
-2579    ) -> t.Optional[exp.Expression]:
-2580        if self._match(TokenType.TOP if top else TokenType.LIMIT):
-2581            limit_paren = self._match(TokenType.L_PAREN)
-2582            limit_exp = self.expression(
-2583                exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term()
-2584            )
+2555        return self.expression(
+2556            exp.Order, this=this, expressions=self._parse_csv(self._parse_ordered)
+2557        )
+2558
+2559    def _parse_sort(
+2560        self, exp_class: t.Type[exp.Expression], *texts: str
+2561    ) -> t.Optional[exp.Expression]:
+2562        if not self._match_text_seq(*texts):
+2563            return None
+2564        return self.expression(exp_class, expressions=self._parse_csv(self._parse_ordered))
+2565
+2566    def _parse_ordered(self) -> exp.Expression:
+2567        this = self._parse_conjunction()
+2568        self._match(TokenType.ASC)
+2569        is_desc = self._match(TokenType.DESC)
+2570        is_nulls_first = self._match_text_seq("NULLS", "FIRST")
+2571        is_nulls_last = self._match_text_seq("NULLS", "LAST")
+2572        desc = is_desc or False
+2573        asc = not desc
+2574        nulls_first = is_nulls_first or False
+2575        explicitly_null_ordered = is_nulls_first or is_nulls_last
+2576        if (
+2577            not explicitly_null_ordered
+2578            and (
+2579                (asc and self.null_ordering == "nulls_are_small")
+2580                or (desc and self.null_ordering != "nulls_are_small")
+2581            )
+2582            and self.null_ordering != "nulls_are_last"
+2583        ):
+2584            nulls_first = True
 2585
-2586            if limit_paren:
-2587                self._match_r_paren()
-2588
-2589            return limit_exp
-2590
-2591        if self._match(TokenType.FETCH):
-2592            direction = self._match_set((TokenType.FIRST, TokenType.NEXT))
-2593            direction = self._prev.text if direction else "FIRST"
-2594
-2595            count = self._parse_number()
-2596            percent = self._match(TokenType.PERCENT)
-2597
-2598            self._match_set((TokenType.ROW, TokenType.ROWS))
+2586        return self.expression(exp.Ordered, this=this, desc=desc, nulls_first=nulls_first)
+2587
+2588    def _parse_limit(
+2589        self, this: t.Optional[exp.Expression] = None, top: bool = False
+2590    ) -> t.Optional[exp.Expression]:
+2591        if self._match(TokenType.TOP if top else TokenType.LIMIT):
+2592            limit_paren = self._match(TokenType.L_PAREN)
+2593            limit_exp = self.expression(
+2594                exp.Limit, this=this, expression=self._parse_number() if top else self._parse_term()
+2595            )
+2596
+2597            if limit_paren:
+2598                self._match_r_paren()
 2599
-2600            only = self._match_text_seq("ONLY")
-2601            with_ties = self._match_text_seq("WITH", "TIES")
-2602
-2603            if only and with_ties:
-2604                self.raise_error("Cannot specify both ONLY and WITH TIES in FETCH clause")
+2600            return limit_exp
+2601
+2602        if self._match(TokenType.FETCH):
+2603            direction = self._match_set((TokenType.FIRST, TokenType.NEXT))
+2604            direction = self._prev.text if direction else "FIRST"
 2605
-2606            return self.expression(
-2607                exp.Fetch,
-2608                direction=direction,
-2609                count=count,
-2610                percent=percent,
-2611                with_ties=with_ties,
-2612            )
+2606            count = self._parse_number()
+2607            percent = self._match(TokenType.PERCENT)
+2608
+2609            self._match_set((TokenType.ROW, TokenType.ROWS))
+2610
+2611            only = self._match_text_seq("ONLY")
+2612            with_ties = self._match_text_seq("WITH", "TIES")
 2613
-2614        return this
-2615
-2616    def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
-2617        if not self._match_set((TokenType.OFFSET, TokenType.COMMA)):
-2618            return this
-2619
-2620        count = self._parse_number()
-2621        self._match_set((TokenType.ROW, TokenType.ROWS))
-2622        return self.expression(exp.Offset, this=this, expression=count)
-2623
-2624    def _parse_locks(self) -> t.List[exp.Expression]:
-2625        # Lists are invariant, so we need to use a type hint here
-2626        locks: t.List[exp.Expression] = []
-2627
-2628        while True:
-2629            if self._match_text_seq("FOR", "UPDATE"):
-2630                update = True
-2631            elif self._match_text_seq("FOR", "SHARE") or self._match_text_seq(
-2632                "LOCK", "IN", "SHARE", "MODE"
-2633            ):
-2634                update = False
-2635            else:
-2636                break
-2637
-2638            expressions = None
-2639            if self._match_text_seq("OF"):
-2640                expressions = self._parse_csv(lambda: self._parse_table(schema=True))
-2641
-2642            wait: t.Optional[bool | exp.Expression] = None
-2643            if self._match_text_seq("NOWAIT"):
-2644                wait = True
-2645            elif self._match_text_seq("WAIT"):
-2646                wait = self._parse_primary()
-2647            elif self._match_text_seq("SKIP", "LOCKED"):
-2648                wait = False
-2649
-2650            locks.append(
-2651                self.expression(exp.Lock, update=update, expressions=expressions, wait=wait)
-2652            )
-2653
-2654        return locks
-2655
-2656    def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2657        if not self._match_set(self.SET_OPERATIONS):
-2658            return this
-2659
-2660        token_type = self._prev.token_type
-2661
-2662        if token_type == TokenType.UNION:
-2663            expression = exp.Union
-2664        elif token_type == TokenType.EXCEPT:
-2665            expression = exp.Except
-2666        else:
-2667            expression = exp.Intersect
-2668
-2669        return self.expression(
-2670            expression,
-2671            this=this,
-2672            distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL),
-2673            expression=self._parse_set_operations(self._parse_select(nested=True)),
-2674        )
-2675
-2676    def _parse_expression(self) -> t.Optional[exp.Expression]:
-2677        return self._parse_alias(self._parse_conjunction())
-2678
-2679    def _parse_conjunction(self) -> t.Optional[exp.Expression]:
-2680        return self._parse_tokens(self._parse_equality, self.CONJUNCTION)
-2681
-2682    def _parse_equality(self) -> t.Optional[exp.Expression]:
-2683        return self._parse_tokens(self._parse_comparison, self.EQUALITY)
-2684
-2685    def _parse_comparison(self) -> t.Optional[exp.Expression]:
-2686        return self._parse_tokens(self._parse_range, self.COMPARISON)
-2687
-2688    def _parse_range(self) -> t.Optional[exp.Expression]:
-2689        this = self._parse_bitwise()
-2690        negate = self._match(TokenType.NOT)
-2691
-2692        if self._match_set(self.RANGE_PARSERS):
-2693            expression = self.RANGE_PARSERS[self._prev.token_type](self, this)
-2694            if not expression:
-2695                return this
-2696
-2697            this = expression
-2698        elif self._match(TokenType.ISNULL):
-2699            this = self.expression(exp.Is, this=this, expression=exp.Null())
-2700
-2701        # Postgres supports ISNULL and NOTNULL for conditions.
-2702        # https://blog.andreiavram.ro/postgresql-null-composite-type/
-2703        if self._match(TokenType.NOTNULL):
-2704            this = self.expression(exp.Is, this=this, expression=exp.Null())
-2705            this = self.expression(exp.Not, this=this)
-2706
-2707        if negate:
-2708            this = self.expression(exp.Not, this=this)
-2709
-2710        if self._match(TokenType.IS):
-2711            this = self._parse_is(this)
-2712
-2713        return this
-2714
-2715    def _parse_is(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2716        index = self._index - 1
-2717        negate = self._match(TokenType.NOT)
-2718        if self._match_text_seq("DISTINCT", "FROM"):
-2719            klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ
-2720            return self.expression(klass, this=this, expression=self._parse_expression())
-2721
-2722        expression = self._parse_null() or self._parse_boolean()
-2723        if not expression:
-2724            self._retreat(index)
-2725            return None
-2726
-2727        this = self.expression(exp.Is, this=this, expression=expression)
-2728        return self.expression(exp.Not, this=this) if negate else this
-2729
-2730    def _parse_in(self, this: t.Optional[exp.Expression], alias: bool = False) -> exp.Expression:
-2731        unnest = self._parse_unnest()
-2732        if unnest:
-2733            this = self.expression(exp.In, this=this, unnest=unnest)
-2734        elif self._match(TokenType.L_PAREN):
-2735            expressions = self._parse_csv(lambda: self._parse_select_or_expression(alias=alias))
-2736
-2737            if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable):
-2738                this = self.expression(exp.In, this=this, query=expressions[0])
-2739            else:
-2740                this = self.expression(exp.In, this=this, expressions=expressions)
-2741
-2742            self._match_r_paren(this)
-2743        else:
-2744            this = self.expression(exp.In, this=this, field=self._parse_field())
-2745
-2746        return this
+2614            if only and with_ties:
+2615                self.raise_error("Cannot specify both ONLY and WITH TIES in FETCH clause")
+2616
+2617            return self.expression(
+2618                exp.Fetch,
+2619                direction=direction,
+2620                count=count,
+2621                percent=percent,
+2622                with_ties=with_ties,
+2623            )
+2624
+2625        return this
+2626
+2627    def _parse_offset(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
+2628        if not self._match_set((TokenType.OFFSET, TokenType.COMMA)):
+2629            return this
+2630
+2631        count = self._parse_number()
+2632        self._match_set((TokenType.ROW, TokenType.ROWS))
+2633        return self.expression(exp.Offset, this=this, expression=count)
+2634
+2635    def _parse_locks(self) -> t.List[exp.Expression]:
+2636        # Lists are invariant, so we need to use a type hint here
+2637        locks: t.List[exp.Expression] = []
+2638
+2639        while True:
+2640            if self._match_text_seq("FOR", "UPDATE"):
+2641                update = True
+2642            elif self._match_text_seq("FOR", "SHARE") or self._match_text_seq(
+2643                "LOCK", "IN", "SHARE", "MODE"
+2644            ):
+2645                update = False
+2646            else:
+2647                break
+2648
+2649            expressions = None
+2650            if self._match_text_seq("OF"):
+2651                expressions = self._parse_csv(lambda: self._parse_table(schema=True))
+2652
+2653            wait: t.Optional[bool | exp.Expression] = None
+2654            if self._match_text_seq("NOWAIT"):
+2655                wait = True
+2656            elif self._match_text_seq("WAIT"):
+2657                wait = self._parse_primary()
+2658            elif self._match_text_seq("SKIP", "LOCKED"):
+2659                wait = False
+2660
+2661            locks.append(
+2662                self.expression(exp.Lock, update=update, expressions=expressions, wait=wait)
+2663            )
+2664
+2665        return locks
+2666
+2667    def _parse_set_operations(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2668        if not self._match_set(self.SET_OPERATIONS):
+2669            return this
+2670
+2671        token_type = self._prev.token_type
+2672
+2673        if token_type == TokenType.UNION:
+2674            expression = exp.Union
+2675        elif token_type == TokenType.EXCEPT:
+2676            expression = exp.Except
+2677        else:
+2678            expression = exp.Intersect
+2679
+2680        return self.expression(
+2681            expression,
+2682            this=this,
+2683            distinct=self._match(TokenType.DISTINCT) or not self._match(TokenType.ALL),
+2684            expression=self._parse_set_operations(self._parse_select(nested=True)),
+2685        )
+2686
+2687    def _parse_expression(self) -> t.Optional[exp.Expression]:
+2688        return self._parse_alias(self._parse_conjunction())
+2689
+2690    def _parse_conjunction(self) -> t.Optional[exp.Expression]:
+2691        return self._parse_tokens(self._parse_equality, self.CONJUNCTION)
+2692
+2693    def _parse_equality(self) -> t.Optional[exp.Expression]:
+2694        return self._parse_tokens(self._parse_comparison, self.EQUALITY)
+2695
+2696    def _parse_comparison(self) -> t.Optional[exp.Expression]:
+2697        return self._parse_tokens(self._parse_range, self.COMPARISON)
+2698
+2699    def _parse_range(self) -> t.Optional[exp.Expression]:
+2700        this = self._parse_bitwise()
+2701        negate = self._match(TokenType.NOT)
+2702
+2703        if self._match_set(self.RANGE_PARSERS):
+2704            expression = self.RANGE_PARSERS[self._prev.token_type](self, this)
+2705            if not expression:
+2706                return this
+2707
+2708            this = expression
+2709        elif self._match(TokenType.ISNULL):
+2710            this = self.expression(exp.Is, this=this, expression=exp.Null())
+2711
+2712        # Postgres supports ISNULL and NOTNULL for conditions.
+2713        # https://blog.andreiavram.ro/postgresql-null-composite-type/
+2714        if self._match(TokenType.NOTNULL):
+2715            this = self.expression(exp.Is, this=this, expression=exp.Null())
+2716            this = self.expression(exp.Not, this=this)
+2717
+2718        if negate:
+2719            this = self.expression(exp.Not, this=this)
+2720
+2721        if self._match(TokenType.IS):
+2722            this = self._parse_is(this)
+2723
+2724        return this
+2725
+2726    def _parse_is(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2727        index = self._index - 1
+2728        negate = self._match(TokenType.NOT)
+2729        if self._match_text_seq("DISTINCT", "FROM"):
+2730            klass = exp.NullSafeEQ if negate else exp.NullSafeNEQ
+2731            return self.expression(klass, this=this, expression=self._parse_expression())
+2732
+2733        expression = self._parse_null() or self._parse_boolean()
+2734        if not expression:
+2735            self._retreat(index)
+2736            return None
+2737
+2738        this = self.expression(exp.Is, this=this, expression=expression)
+2739        return self.expression(exp.Not, this=this) if negate else this
+2740
+2741    def _parse_in(self, this: t.Optional[exp.Expression], alias: bool = False) -> exp.Expression:
+2742        unnest = self._parse_unnest()
+2743        if unnest:
+2744            this = self.expression(exp.In, this=this, unnest=unnest)
+2745        elif self._match(TokenType.L_PAREN):
+2746            expressions = self._parse_csv(lambda: self._parse_select_or_expression(alias=alias))
 2747
-2748    def _parse_between(self, this: exp.Expression) -> exp.Expression:
-2749        low = self._parse_bitwise()
-2750        self._match(TokenType.AND)
-2751        high = self._parse_bitwise()
-2752        return self.expression(exp.Between, this=this, low=low, high=high)
-2753
-2754    def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2755        if not self._match(TokenType.ESCAPE):
-2756            return this
-2757        return self.expression(exp.Escape, this=this, expression=self._parse_string())
+2748            if len(expressions) == 1 and isinstance(expressions[0], exp.Subqueryable):
+2749                this = self.expression(exp.In, this=this, query=expressions[0])
+2750            else:
+2751                this = self.expression(exp.In, this=this, expressions=expressions)
+2752
+2753            self._match_r_paren(this)
+2754        else:
+2755            this = self.expression(exp.In, this=this, field=self._parse_field())
+2756
+2757        return this
 2758
-2759    def _parse_interval(self) -> t.Optional[exp.Expression]:
-2760        if not self._match(TokenType.INTERVAL):
-2761            return None
-2762
-2763        this = self._parse_primary() or self._parse_term()
-2764        unit = self._parse_function() or self._parse_var()
-2765
-2766        # Most dialects support, e.g., the form INTERVAL '5' day, thus we try to parse
-2767        # each INTERVAL expression into this canonical form so it's easy to transpile
-2768        if this and isinstance(this, exp.Literal):
-2769            if this.is_number:
-2770                this = exp.Literal.string(this.name)
-2771
-2772            # Try to not clutter Snowflake's multi-part intervals like INTERVAL '1 day, 1 year'
-2773            parts = this.name.split()
-2774            if not unit and len(parts) <= 2:
-2775                this = exp.Literal.string(seq_get(parts, 0))
-2776                unit = self.expression(exp.Var, this=seq_get(parts, 1))
-2777
-2778        return self.expression(exp.Interval, this=this, unit=unit)
-2779
-2780    def _parse_bitwise(self) -> t.Optional[exp.Expression]:
-2781        this = self._parse_term()
+2759    def _parse_between(self, this: exp.Expression) -> exp.Expression:
+2760        low = self._parse_bitwise()
+2761        self._match(TokenType.AND)
+2762        high = self._parse_bitwise()
+2763        return self.expression(exp.Between, this=this, low=low, high=high)
+2764
+2765    def _parse_escape(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2766        if not self._match(TokenType.ESCAPE):
+2767            return this
+2768        return self.expression(exp.Escape, this=this, expression=self._parse_string())
+2769
+2770    def _parse_interval(self) -> t.Optional[exp.Expression]:
+2771        if not self._match(TokenType.INTERVAL):
+2772            return None
+2773
+2774        this = self._parse_primary() or self._parse_term()
+2775        unit = self._parse_function() or self._parse_var()
+2776
+2777        # Most dialects support, e.g., the form INTERVAL '5' day, thus we try to parse
+2778        # each INTERVAL expression into this canonical form so it's easy to transpile
+2779        if this and isinstance(this, exp.Literal):
+2780            if this.is_number:
+2781                this = exp.Literal.string(this.name)
 2782
-2783        while True:
-2784            if self._match_set(self.BITWISE):
-2785                this = self.expression(
-2786                    self.BITWISE[self._prev.token_type],
-2787                    this=this,
-2788                    expression=self._parse_term(),
-2789                )
-2790            elif self._match_pair(TokenType.LT, TokenType.LT):
-2791                this = self.expression(
-2792                    exp.BitwiseLeftShift, this=this, expression=self._parse_term()
-2793                )
-2794            elif self._match_pair(TokenType.GT, TokenType.GT):
-2795                this = self.expression(
-2796                    exp.BitwiseRightShift, this=this, expression=self._parse_term()
-2797                )
-2798            else:
-2799                break
-2800
-2801        return this
-2802
-2803    def _parse_term(self) -> t.Optional[exp.Expression]:
-2804        return self._parse_tokens(self._parse_factor, self.TERM)
-2805
-2806    def _parse_factor(self) -> t.Optional[exp.Expression]:
-2807        return self._parse_tokens(self._parse_unary, self.FACTOR)
-2808
-2809    def _parse_unary(self) -> t.Optional[exp.Expression]:
-2810        if self._match_set(self.UNARY_PARSERS):
-2811            return self.UNARY_PARSERS[self._prev.token_type](self)
-2812        return self._parse_at_time_zone(self._parse_type())
+2783            # Try to not clutter Snowflake's multi-part intervals like INTERVAL '1 day, 1 year'
+2784            parts = this.name.split()
+2785            if not unit and len(parts) <= 2:
+2786                this = exp.Literal.string(seq_get(parts, 0))
+2787                unit = self.expression(exp.Var, this=seq_get(parts, 1))
+2788
+2789        return self.expression(exp.Interval, this=this, unit=unit)
+2790
+2791    def _parse_bitwise(self) -> t.Optional[exp.Expression]:
+2792        this = self._parse_term()
+2793
+2794        while True:
+2795            if self._match_set(self.BITWISE):
+2796                this = self.expression(
+2797                    self.BITWISE[self._prev.token_type],
+2798                    this=this,
+2799                    expression=self._parse_term(),
+2800                )
+2801            elif self._match_pair(TokenType.LT, TokenType.LT):
+2802                this = self.expression(
+2803                    exp.BitwiseLeftShift, this=this, expression=self._parse_term()
+2804                )
+2805            elif self._match_pair(TokenType.GT, TokenType.GT):
+2806                this = self.expression(
+2807                    exp.BitwiseRightShift, this=this, expression=self._parse_term()
+2808                )
+2809            else:
+2810                break
+2811
+2812        return this
 2813
-2814    def _parse_type(self) -> t.Optional[exp.Expression]:
-2815        interval = self._parse_interval()
-2816        if interval:
-2817            return interval
-2818
-2819        index = self._index
-2820        data_type = self._parse_types(check_func=True)
-2821        this = self._parse_column()
-2822
-2823        if data_type:
-2824            if isinstance(this, exp.Literal):
-2825                parser = self.TYPE_LITERAL_PARSERS.get(data_type.this)
-2826                if parser:
-2827                    return parser(self, this, data_type)
-2828                return self.expression(exp.Cast, this=this, to=data_type)
-2829            if not data_type.expressions:
-2830                self._retreat(index)
-2831                return self._parse_column()
-2832            return data_type
+2814    def _parse_term(self) -> t.Optional[exp.Expression]:
+2815        return self._parse_tokens(self._parse_factor, self.TERM)
+2816
+2817    def _parse_factor(self) -> t.Optional[exp.Expression]:
+2818        return self._parse_tokens(self._parse_unary, self.FACTOR)
+2819
+2820    def _parse_unary(self) -> t.Optional[exp.Expression]:
+2821        if self._match_set(self.UNARY_PARSERS):
+2822            return self.UNARY_PARSERS[self._prev.token_type](self)
+2823        return self._parse_at_time_zone(self._parse_type())
+2824
+2825    def _parse_type(self) -> t.Optional[exp.Expression]:
+2826        interval = self._parse_interval()
+2827        if interval:
+2828            return interval
+2829
+2830        index = self._index
+2831        data_type = self._parse_types(check_func=True)
+2832        this = self._parse_column()
 2833
-2834        return this
-2835
-2836    def _parse_type_size(self) -> t.Optional[exp.Expression]:
-2837        this = self._parse_type()
-2838        if not this:
-2839            return None
-2840
-2841        return self.expression(
-2842            exp.DataTypeSize, this=this, expression=self._parse_var(any_token=True)
-2843        )
+2834        if data_type:
+2835            if isinstance(this, exp.Literal):
+2836                parser = self.TYPE_LITERAL_PARSERS.get(data_type.this)
+2837                if parser:
+2838                    return parser(self, this, data_type)
+2839                return self.expression(exp.Cast, this=this, to=data_type)
+2840            if not data_type.expressions:
+2841                self._retreat(index)
+2842                return self._parse_column()
+2843            return data_type
 2844
-2845    def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
-2846        index = self._index
-2847
-2848        prefix = self._match_text_seq("SYSUDTLIB", ".")
-2849
-2850        if not self._match_set(self.TYPE_TOKENS):
-2851            return None
-2852
-2853        type_token = self._prev.token_type
-2854
-2855        if type_token == TokenType.PSEUDO_TYPE:
-2856            return self.expression(exp.PseudoType, this=self._prev.text)
-2857
-2858        nested = type_token in self.NESTED_TYPE_TOKENS
-2859        is_struct = type_token == TokenType.STRUCT
-2860        expressions = None
-2861        maybe_func = False
-2862
-2863        if self._match(TokenType.L_PAREN):
-2864            if is_struct:
-2865                expressions = self._parse_csv(self._parse_struct_types)
-2866            elif nested:
-2867                expressions = self._parse_csv(self._parse_types)
-2868            else:
-2869                expressions = self._parse_csv(self._parse_type_size)
-2870
-2871            if not expressions or not self._match(TokenType.R_PAREN):
-2872                self._retreat(index)
-2873                return None
-2874
-2875            maybe_func = True
-2876
-2877        if self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
-2878            this = exp.DataType(
-2879                this=exp.DataType.Type.ARRAY,
-2880                expressions=[exp.DataType.build(type_token.value, expressions=expressions)],
-2881                nested=True,
-2882            )
-2883
-2884            while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
-2885                this = exp.DataType(
-2886                    this=exp.DataType.Type.ARRAY,
-2887                    expressions=[this],
-2888                    nested=True,
-2889                )
-2890
-2891            return this
-2892
-2893        if self._match(TokenType.L_BRACKET):
-2894            self._retreat(index)
-2895            return None
-2896
-2897        values: t.Optional[t.List[t.Optional[exp.Expression]]] = None
-2898        if nested and self._match(TokenType.LT):
-2899            if is_struct:
-2900                expressions = self._parse_csv(self._parse_struct_types)
-2901            else:
-2902                expressions = self._parse_csv(self._parse_types)
+2845        return this
+2846
+2847    def _parse_type_size(self) -> t.Optional[exp.Expression]:
+2848        this = self._parse_type()
+2849        if not this:
+2850            return None
+2851
+2852        return self.expression(
+2853            exp.DataTypeSize, this=this, expression=self._parse_var(any_token=True)
+2854        )
+2855
+2856    def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]:
+2857        index = self._index
+2858
+2859        prefix = self._match_text_seq("SYSUDTLIB", ".")
+2860
+2861        if not self._match_set(self.TYPE_TOKENS):
+2862            return None
+2863
+2864        type_token = self._prev.token_type
+2865
+2866        if type_token == TokenType.PSEUDO_TYPE:
+2867            return self.expression(exp.PseudoType, this=self._prev.text)
+2868
+2869        nested = type_token in self.NESTED_TYPE_TOKENS
+2870        is_struct = type_token == TokenType.STRUCT
+2871        expressions = None
+2872        maybe_func = False
+2873
+2874        if self._match(TokenType.L_PAREN):
+2875            if is_struct:
+2876                expressions = self._parse_csv(self._parse_struct_types)
+2877            elif nested:
+2878                expressions = self._parse_csv(self._parse_types)
+2879            else:
+2880                expressions = self._parse_csv(self._parse_type_size)
+2881
+2882            if not expressions or not self._match(TokenType.R_PAREN):
+2883                self._retreat(index)
+2884                return None
+2885
+2886            maybe_func = True
+2887
+2888        if self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
+2889            this = exp.DataType(
+2890                this=exp.DataType.Type.ARRAY,
+2891                expressions=[exp.DataType.build(type_token.value, expressions=expressions)],
+2892                nested=True,
+2893            )
+2894
+2895            while self._match_pair(TokenType.L_BRACKET, TokenType.R_BRACKET):
+2896                this = exp.DataType(
+2897                    this=exp.DataType.Type.ARRAY,
+2898                    expressions=[this],
+2899                    nested=True,
+2900                )
+2901
+2902            return this
 2903
-2904            if not self._match(TokenType.GT):
-2905                self.raise_error("Expecting >")
-2906
-2907            if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)):
-2908                values = self._parse_csv(self._parse_conjunction)
-2909                self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN))
-2910
-2911        value: t.Optional[exp.Expression] = None
-2912        if type_token in self.TIMESTAMPS:
-2913            if self._match_text_seq("WITH", "TIME", "ZONE") or type_token == TokenType.TIMESTAMPTZ:
-2914                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions)
-2915            elif (
-2916                self._match_text_seq("WITH", "LOCAL", "TIME", "ZONE")
-2917                or type_token == TokenType.TIMESTAMPLTZ
-2918            ):
-2919                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions)
-2920            elif self._match_text_seq("WITHOUT", "TIME", "ZONE"):
-2921                if type_token == TokenType.TIME:
-2922                    value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions)
-2923                else:
-2924                    value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
-2925
-2926            maybe_func = maybe_func and value is None
-2927
-2928            if value is None:
-2929                value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
-2930        elif type_token == TokenType.INTERVAL:
-2931            unit = self._parse_var()
-2932
-2933            if not unit:
-2934                value = self.expression(exp.DataType, this=exp.DataType.Type.INTERVAL)
-2935            else:
-2936                value = self.expression(exp.Interval, unit=unit)
-2937
-2938        if maybe_func and check_func:
-2939            index2 = self._index
-2940            peek = self._parse_string()
-2941
-2942            if not peek:
-2943                self._retreat(index)
-2944                return None
-2945
-2946            self._retreat(index2)
-2947
-2948        if value:
-2949            return value
-2950
-2951        return exp.DataType(
-2952            this=exp.DataType.Type[type_token.value.upper()],
-2953            expressions=expressions,
-2954            nested=nested,
-2955            values=values,
-2956            prefix=prefix,
-2957        )
+2904        if self._match(TokenType.L_BRACKET):
+2905            self._retreat(index)
+2906            return None
+2907
+2908        values: t.Optional[t.List[t.Optional[exp.Expression]]] = None
+2909        if nested and self._match(TokenType.LT):
+2910            if is_struct:
+2911                expressions = self._parse_csv(self._parse_struct_types)
+2912            else:
+2913                expressions = self._parse_csv(self._parse_types)
+2914
+2915            if not self._match(TokenType.GT):
+2916                self.raise_error("Expecting >")
+2917
+2918            if self._match_set((TokenType.L_BRACKET, TokenType.L_PAREN)):
+2919                values = self._parse_csv(self._parse_conjunction)
+2920                self._match_set((TokenType.R_BRACKET, TokenType.R_PAREN))
+2921
+2922        value: t.Optional[exp.Expression] = None
+2923        if type_token in self.TIMESTAMPS:
+2924            if self._match_text_seq("WITH", "TIME", "ZONE") or type_token == TokenType.TIMESTAMPTZ:
+2925                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPTZ, expressions=expressions)
+2926            elif (
+2927                self._match_text_seq("WITH", "LOCAL", "TIME", "ZONE")
+2928                or type_token == TokenType.TIMESTAMPLTZ
+2929            ):
+2930                value = exp.DataType(this=exp.DataType.Type.TIMESTAMPLTZ, expressions=expressions)
+2931            elif self._match_text_seq("WITHOUT", "TIME", "ZONE"):
+2932                if type_token == TokenType.TIME:
+2933                    value = exp.DataType(this=exp.DataType.Type.TIME, expressions=expressions)
+2934                else:
+2935                    value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
+2936
+2937            maybe_func = maybe_func and value is None
+2938
+2939            if value is None:
+2940                value = exp.DataType(this=exp.DataType.Type.TIMESTAMP, expressions=expressions)
+2941        elif type_token == TokenType.INTERVAL:
+2942            unit = self._parse_var()
+2943
+2944            if not unit:
+2945                value = self.expression(exp.DataType, this=exp.DataType.Type.INTERVAL)
+2946            else:
+2947                value = self.expression(exp.Interval, unit=unit)
+2948
+2949        if maybe_func and check_func:
+2950            index2 = self._index
+2951            peek = self._parse_string()
+2952
+2953            if not peek:
+2954                self._retreat(index)
+2955                return None
+2956
+2957            self._retreat(index2)
 2958
-2959    def _parse_struct_types(self) -> t.Optional[exp.Expression]:
-2960        this = self._parse_type() or self._parse_id_var()
-2961        self._match(TokenType.COLON)
-2962        return self._parse_column_def(this)
-2963
-2964    def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-2965        if not self._match_text_seq("AT", "TIME", "ZONE"):
-2966            return this
-2967        return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary())
-2968
-2969    def _parse_column(self) -> t.Optional[exp.Expression]:
-2970        this = self._parse_field()
-2971        if isinstance(this, exp.Identifier):
-2972            this = self.expression(exp.Column, this=this)
-2973        elif not this:
-2974            return self._parse_bracket(this)
-2975        this = self._parse_bracket(this)
-2976
-2977        while self._match_set(self.COLUMN_OPERATORS):
-2978            op_token = self._prev.token_type
-2979            op = self.COLUMN_OPERATORS.get(op_token)
-2980
-2981            if op_token == TokenType.DCOLON:
-2982                field = self._parse_types()
-2983                if not field:
-2984                    self.raise_error("Expected type")
-2985            elif op and self._curr:
-2986                self._advance()
-2987                value = self._prev.text
-2988                field = (
-2989                    exp.Literal.number(value)
-2990                    if self._prev.token_type == TokenType.NUMBER
-2991                    else exp.Literal.string(value)
-2992                )
-2993            else:
-2994                field = (
-2995                    self._parse_star()
-2996                    or self._parse_function(anonymous=True)
-2997                    or self._parse_id_var()
-2998                )
-2999
-3000            if isinstance(field, exp.Func):
-3001                # bigquery allows function calls like x.y.count(...)
-3002                # SAFE.SUBSTR(...)
-3003                # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules
-3004                this = self._replace_columns_with_dots(this)
-3005
-3006            if op:
-3007                this = op(self, this, field)
-3008            elif isinstance(this, exp.Column) and not this.args.get("catalog"):
-3009                this = self.expression(
-3010                    exp.Column,
-3011                    this=field,
-3012                    table=this.this,
-3013                    db=this.args.get("table"),
-3014                    catalog=this.args.get("db"),
-3015                )
-3016            else:
-3017                this = self.expression(exp.Dot, this=this, expression=field)
-3018            this = self._parse_bracket(this)
-3019
-3020        return this
-3021
-3022    def _parse_primary(self) -> t.Optional[exp.Expression]:
-3023        if self._match_set(self.PRIMARY_PARSERS):
-3024            token_type = self._prev.token_type
-3025            primary = self.PRIMARY_PARSERS[token_type](self, self._prev)
-3026
-3027            if token_type == TokenType.STRING:
-3028                expressions = [primary]
-3029                while self._match(TokenType.STRING):
-3030                    expressions.append(exp.Literal.string(self._prev.text))
-3031                if len(expressions) > 1:
-3032                    return self.expression(exp.Concat, expressions=expressions)
-3033            return primary
-3034
-3035        if self._match_pair(TokenType.DOT, TokenType.NUMBER):
-3036            return exp.Literal.number(f"0.{self._prev.text}")
+2959        if value:
+2960            return value
+2961
+2962        return exp.DataType(
+2963            this=exp.DataType.Type[type_token.value.upper()],
+2964            expressions=expressions,
+2965            nested=nested,
+2966            values=values,
+2967            prefix=prefix,
+2968        )
+2969
+2970    def _parse_struct_types(self) -> t.Optional[exp.Expression]:
+2971        this = self._parse_type() or self._parse_id_var()
+2972        self._match(TokenType.COLON)
+2973        return self._parse_column_def(this)
+2974
+2975    def _parse_at_time_zone(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+2976        if not self._match_text_seq("AT", "TIME", "ZONE"):
+2977            return this
+2978        return self.expression(exp.AtTimeZone, this=this, zone=self._parse_unary())
+2979
+2980    def _parse_column(self) -> t.Optional[exp.Expression]:
+2981        this = self._parse_field()
+2982        if isinstance(this, exp.Identifier):
+2983            this = self.expression(exp.Column, this=this)
+2984        elif not this:
+2985            return self._parse_bracket(this)
+2986        this = self._parse_bracket(this)
+2987
+2988        while self._match_set(self.COLUMN_OPERATORS):
+2989            op_token = self._prev.token_type
+2990            op = self.COLUMN_OPERATORS.get(op_token)
+2991
+2992            if op_token == TokenType.DCOLON:
+2993                field = self._parse_types()
+2994                if not field:
+2995                    self.raise_error("Expected type")
+2996            elif op and self._curr:
+2997                self._advance()
+2998                value = self._prev.text
+2999                field = (
+3000                    exp.Literal.number(value)
+3001                    if self._prev.token_type == TokenType.NUMBER
+3002                    else exp.Literal.string(value)
+3003                )
+3004            else:
+3005                field = (
+3006                    self._parse_star()
+3007                    or self._parse_function(anonymous=True)
+3008                    or self._parse_id_var()
+3009                )
+3010
+3011            if isinstance(field, exp.Func):
+3012                # bigquery allows function calls like x.y.count(...)
+3013                # SAFE.SUBSTR(...)
+3014                # https://cloud.google.com/bigquery/docs/reference/standard-sql/functions-reference#function_call_rules
+3015                this = self._replace_columns_with_dots(this)
+3016
+3017            if op:
+3018                this = op(self, this, field)
+3019            elif isinstance(this, exp.Column) and not this.args.get("catalog"):
+3020                this = self.expression(
+3021                    exp.Column,
+3022                    this=field,
+3023                    table=this.this,
+3024                    db=this.args.get("table"),
+3025                    catalog=this.args.get("db"),
+3026                )
+3027            else:
+3028                this = self.expression(exp.Dot, this=this, expression=field)
+3029            this = self._parse_bracket(this)
+3030
+3031        return this
+3032
+3033    def _parse_primary(self) -> t.Optional[exp.Expression]:
+3034        if self._match_set(self.PRIMARY_PARSERS):
+3035            token_type = self._prev.token_type
+3036            primary = self.PRIMARY_PARSERS[token_type](self, self._prev)
 3037
-3038        if self._match(TokenType.L_PAREN):
-3039            comments = self._prev_comments
-3040            query = self._parse_select()
-3041
-3042            if query:
-3043                expressions = [query]
-3044            else:
-3045                expressions = self._parse_csv(self._parse_expression)
-3046
-3047            this = self._parse_query_modifiers(seq_get(expressions, 0))
+3038            if token_type == TokenType.STRING:
+3039                expressions = [primary]
+3040                while self._match(TokenType.STRING):
+3041                    expressions.append(exp.Literal.string(self._prev.text))
+3042                if len(expressions) > 1:
+3043                    return self.expression(exp.Concat, expressions=expressions)
+3044            return primary
+3045
+3046        if self._match_pair(TokenType.DOT, TokenType.NUMBER):
+3047            return exp.Literal.number(f"0.{self._prev.text}")
 3048
-3049            if isinstance(this, exp.Subqueryable):
-3050                this = self._parse_set_operations(
-3051                    self._parse_subquery(this=this, parse_alias=False)
-3052                )
-3053            elif len(expressions) > 1:
-3054                this = self.expression(exp.Tuple, expressions=expressions)
+3049        if self._match(TokenType.L_PAREN):
+3050            comments = self._prev_comments
+3051            query = self._parse_select()
+3052
+3053            if query:
+3054                expressions = [query]
 3055            else:
-3056                this = self.expression(exp.Paren, this=self._parse_set_operations(this))
+3056                expressions = self._parse_csv(self._parse_expression)
 3057
-3058            if this:
-3059                this.add_comments(comments)
-3060            self._match_r_paren(expression=this)
-3061
-3062            return this
-3063
-3064        return None
-3065
-3066    def _parse_field(
-3067        self,
-3068        any_token: bool = False,
-3069        tokens: t.Optional[t.Collection[TokenType]] = None,
-3070    ) -> t.Optional[exp.Expression]:
-3071        return (
-3072            self._parse_primary()
-3073            or self._parse_function()
-3074            or self._parse_id_var(any_token=any_token, tokens=tokens)
-3075        )
+3058            this = self._parse_query_modifiers(seq_get(expressions, 0))
+3059
+3060            if isinstance(this, exp.Subqueryable):
+3061                this = self._parse_set_operations(
+3062                    self._parse_subquery(this=this, parse_alias=False)
+3063                )
+3064            elif len(expressions) > 1:
+3065                this = self.expression(exp.Tuple, expressions=expressions)
+3066            else:
+3067                this = self.expression(exp.Paren, this=self._parse_set_operations(this))
+3068
+3069            if this:
+3070                this.add_comments(comments)
+3071            self._match_r_paren(expression=this)
+3072
+3073            return this
+3074
+3075        return None
 3076
-3077    def _parse_function(
-3078        self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
-3079    ) -> t.Optional[exp.Expression]:
-3080        if not self._curr:
-3081            return None
-3082
-3083        token_type = self._curr.token_type
-3084
-3085        if self._match_set(self.NO_PAREN_FUNCTION_PARSERS):
-3086            return self.NO_PAREN_FUNCTION_PARSERS[token_type](self)
+3077    def _parse_field(
+3078        self,
+3079        any_token: bool = False,
+3080        tokens: t.Optional[t.Collection[TokenType]] = None,
+3081    ) -> t.Optional[exp.Expression]:
+3082        return (
+3083            self._parse_primary()
+3084            or self._parse_function()
+3085            or self._parse_id_var(any_token=any_token, tokens=tokens)
+3086        )
 3087
-3088        if not self._next or self._next.token_type != TokenType.L_PAREN:
-3089            if token_type in self.NO_PAREN_FUNCTIONS:
-3090                self._advance()
-3091                return self.expression(self.NO_PAREN_FUNCTIONS[token_type])
-3092
-3093            return None
-3094
-3095        if token_type not in self.FUNC_TOKENS:
-3096            return None
-3097
-3098        this = self._curr.text
-3099        upper = this.upper()
-3100        self._advance(2)
-3101
-3102        parser = self.FUNCTION_PARSERS.get(upper)
+3088    def _parse_function(
+3089        self, functions: t.Optional[t.Dict[str, t.Callable]] = None, anonymous: bool = False
+3090    ) -> t.Optional[exp.Expression]:
+3091        if not self._curr:
+3092            return None
+3093
+3094        token_type = self._curr.token_type
+3095
+3096        if self._match_set(self.NO_PAREN_FUNCTION_PARSERS):
+3097            return self.NO_PAREN_FUNCTION_PARSERS[token_type](self)
+3098
+3099        if not self._next or self._next.token_type != TokenType.L_PAREN:
+3100            if token_type in self.NO_PAREN_FUNCTIONS:
+3101                self._advance()
+3102                return self.expression(self.NO_PAREN_FUNCTIONS[token_type])
 3103
-3104        if parser and not anonymous:
-3105            this = parser(self)
-3106        else:
-3107            subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type)
+3104            return None
+3105
+3106        if token_type not in self.FUNC_TOKENS:
+3107            return None
 3108
-3109            if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH):
-3110                this = self.expression(subquery_predicate, this=self._parse_select())
-3111                self._match_r_paren()
-3112                return this
-3113
-3114            if functions is None:
-3115                functions = self.FUNCTIONS
-3116
-3117            function = functions.get(upper)
-3118            args = self._parse_csv(self._parse_lambda)
+3109        this = self._curr.text
+3110        upper = this.upper()
+3111        self._advance(2)
+3112
+3113        parser = self.FUNCTION_PARSERS.get(upper)
+3114
+3115        if parser and not anonymous:
+3116            this = parser(self)
+3117        else:
+3118            subquery_predicate = self.SUBQUERY_PREDICATES.get(token_type)
 3119
-3120            if function and not anonymous:
-3121                this = function(args)
-3122                self.validate_expression(this, args)
-3123            else:
-3124                this = self.expression(exp.Anonymous, this=this, expressions=args)
-3125
-3126        self._match_r_paren(this)
-3127        return self._parse_window(this)
-3128
-3129    def _parse_function_parameter(self) -> t.Optional[exp.Expression]:
-3130        return self._parse_column_def(self._parse_id_var())
-3131
-3132    def _parse_user_defined_function(
-3133        self, kind: t.Optional[TokenType] = None
-3134    ) -> t.Optional[exp.Expression]:
-3135        this = self._parse_id_var()
-3136
-3137        while self._match(TokenType.DOT):
-3138            this = self.expression(exp.Dot, this=this, expression=self._parse_id_var())
-3139
-3140        if not self._match(TokenType.L_PAREN):
-3141            return this
-3142
-3143        expressions = self._parse_csv(self._parse_function_parameter)
-3144        self._match_r_paren()
-3145        return self.expression(
-3146            exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True
-3147        )
-3148
-3149    def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]:
-3150        literal = self._parse_primary()
-3151        if literal:
-3152            return self.expression(exp.Introducer, this=token.text, expression=literal)
-3153
-3154        return self.expression(exp.Identifier, this=token.text)
+3120            if subquery_predicate and self._curr.token_type in (TokenType.SELECT, TokenType.WITH):
+3121                this = self.expression(subquery_predicate, this=self._parse_select())
+3122                self._match_r_paren()
+3123                return this
+3124
+3125            if functions is None:
+3126                functions = self.FUNCTIONS
+3127
+3128            function = functions.get(upper)
+3129
+3130            alias = upper in self.FUNCTIONS_WITH_ALIASED_ARGS
+3131            args = self._parse_csv(lambda: self._parse_lambda(alias=alias))
+3132
+3133            if function and not anonymous:
+3134                this = function(args)
+3135                self.validate_expression(this, args)
+3136            else:
+3137                this = self.expression(exp.Anonymous, this=this, expressions=args)
+3138
+3139        self._match_r_paren(this)
+3140        return self._parse_window(this)
+3141
+3142    def _parse_function_parameter(self) -> t.Optional[exp.Expression]:
+3143        return self._parse_column_def(self._parse_id_var())
+3144
+3145    def _parse_user_defined_function(
+3146        self, kind: t.Optional[TokenType] = None
+3147    ) -> t.Optional[exp.Expression]:
+3148        this = self._parse_id_var()
+3149
+3150        while self._match(TokenType.DOT):
+3151            this = self.expression(exp.Dot, this=this, expression=self._parse_id_var())
+3152
+3153        if not self._match(TokenType.L_PAREN):
+3154            return this
 3155
-3156    def _parse_national(self, token: Token) -> exp.Expression:
-3157        return self.expression(exp.National, this=exp.Literal.string(token.text))
-3158
-3159    def _parse_session_parameter(self) -> exp.Expression:
-3160        kind = None
-3161        this = self._parse_id_var() or self._parse_primary()
-3162
-3163        if this and self._match(TokenType.DOT):
-3164            kind = this.name
-3165            this = self._parse_var() or self._parse_primary()
+3156        expressions = self._parse_csv(self._parse_function_parameter)
+3157        self._match_r_paren()
+3158        return self.expression(
+3159            exp.UserDefinedFunction, this=this, expressions=expressions, wrapped=True
+3160        )
+3161
+3162    def _parse_introducer(self, token: Token) -> t.Optional[exp.Expression]:
+3163        literal = self._parse_primary()
+3164        if literal:
+3165            return self.expression(exp.Introducer, this=token.text, expression=literal)
 3166
-3167        return self.expression(exp.SessionParameter, this=this, kind=kind)
+3167        return self.expression(exp.Identifier, this=token.text)
 3168
-3169    def _parse_lambda(self, alias: bool = False) -> t.Optional[exp.Expression]:
-3170        index = self._index
-3171
-3172        if self._match(TokenType.L_PAREN):
-3173            expressions = self._parse_csv(self._parse_id_var)
-3174
-3175            if not self._match(TokenType.R_PAREN):
-3176                self._retreat(index)
-3177        else:
-3178            expressions = [self._parse_id_var()]
-3179
-3180        if self._match_set(self.LAMBDAS):
-3181            return self.LAMBDAS[self._prev.token_type](self, expressions)
-3182
-3183        self._retreat(index)
+3169    def _parse_session_parameter(self) -> exp.Expression:
+3170        kind = None
+3171        this = self._parse_id_var() or self._parse_primary()
+3172
+3173        if this and self._match(TokenType.DOT):
+3174            kind = this.name
+3175            this = self._parse_var() or self._parse_primary()
+3176
+3177        return self.expression(exp.SessionParameter, this=this, kind=kind)
+3178
+3179    def _parse_lambda(self, alias: bool = False) -> t.Optional[exp.Expression]:
+3180        index = self._index
+3181
+3182        if self._match(TokenType.L_PAREN):
+3183            expressions = self._parse_csv(self._parse_id_var)
 3184
-3185        this: t.Optional[exp.Expression]
-3186
-3187        if self._match(TokenType.DISTINCT):
-3188            this = self.expression(
-3189                exp.Distinct, expressions=self._parse_csv(self._parse_conjunction)
-3190            )
-3191        else:
-3192            this = self._parse_select_or_expression(alias=alias)
-3193
-3194            if isinstance(this, exp.EQ):
-3195                left = this.this
-3196                if isinstance(left, exp.Column):
-3197                    left.replace(exp.Var(this=left.text("this")))
-3198
-3199        return self._parse_limit(self._parse_order(self._parse_respect_or_ignore_nulls(this)))
-3200
-3201    def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
-3202        index = self._index
+3185            if not self._match(TokenType.R_PAREN):
+3186                self._retreat(index)
+3187        else:
+3188            expressions = [self._parse_id_var()]
+3189
+3190        if self._match_set(self.LAMBDAS):
+3191            return self.LAMBDAS[self._prev.token_type](self, expressions)
+3192
+3193        self._retreat(index)
+3194
+3195        this: t.Optional[exp.Expression]
+3196
+3197        if self._match(TokenType.DISTINCT):
+3198            this = self.expression(
+3199                exp.Distinct, expressions=self._parse_csv(self._parse_conjunction)
+3200            )
+3201        else:
+3202            this = self._parse_select_or_expression(alias=alias)
 3203
-3204        try:
-3205            if self._parse_select(nested=True):
-3206                return this
-3207        except Exception:
-3208            pass
-3209        finally:
-3210            self._retreat(index)
-3211
-3212        if not self._match(TokenType.L_PAREN):
-3213            return this
-3214
-3215        args = self._parse_csv(
-3216            lambda: self._parse_constraint()
-3217            or self._parse_column_def(self._parse_field(any_token=True))
-3218        )
-3219        self._match_r_paren()
-3220        return self.expression(exp.Schema, this=this, expressions=args)
+3204            if isinstance(this, exp.EQ):
+3205                left = this.this
+3206                if isinstance(left, exp.Column):
+3207                    left.replace(exp.Var(this=left.text("this")))
+3208
+3209        return self._parse_limit(self._parse_order(self._parse_respect_or_ignore_nulls(this)))
+3210
+3211    def _parse_schema(self, this: t.Optional[exp.Expression] = None) -> t.Optional[exp.Expression]:
+3212        index = self._index
+3213
+3214        try:
+3215            if self._parse_select(nested=True):
+3216                return this
+3217        except Exception:
+3218            pass
+3219        finally:
+3220            self._retreat(index)
 3221
-3222    def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-3223        # column defs are not really columns, they're identifiers
-3224        if isinstance(this, exp.Column):
-3225            this = this.this
-3226        kind = self._parse_types()
-3227
-3228        if self._match_text_seq("FOR", "ORDINALITY"):
-3229            return self.expression(exp.ColumnDef, this=this, ordinality=True)
-3230
-3231        constraints = []
-3232        while True:
-3233            constraint = self._parse_column_constraint()
-3234            if not constraint:
-3235                break
-3236            constraints.append(constraint)
+3222        if not self._match(TokenType.L_PAREN):
+3223            return this
+3224
+3225        args = self._parse_csv(
+3226            lambda: self._parse_constraint()
+3227            or self._parse_column_def(self._parse_field(any_token=True))
+3228        )
+3229        self._match_r_paren()
+3230        return self.expression(exp.Schema, this=this, expressions=args)
+3231
+3232    def _parse_column_def(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+3233        # column defs are not really columns, they're identifiers
+3234        if isinstance(this, exp.Column):
+3235            this = this.this
+3236        kind = self._parse_types()
 3237
-3238        if not kind and not constraints:
-3239            return this
+3238        if self._match_text_seq("FOR", "ORDINALITY"):
+3239            return self.expression(exp.ColumnDef, this=this, ordinality=True)
 3240
-3241        return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints)
-3242
-3243    def _parse_auto_increment(self) -> exp.Expression:
-3244        start = None
-3245        increment = None
-3246
-3247        if self._match(TokenType.L_PAREN, advance=False):
-3248            args = self._parse_wrapped_csv(self._parse_bitwise)
-3249            start = seq_get(args, 0)
-3250            increment = seq_get(args, 1)
-3251        elif self._match_text_seq("START"):
-3252            start = self._parse_bitwise()
-3253            self._match_text_seq("INCREMENT")
-3254            increment = self._parse_bitwise()
-3255
-3256        if start and increment:
-3257            return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment)
-3258
-3259        return exp.AutoIncrementColumnConstraint()
-3260
-3261    def _parse_compress(self) -> exp.Expression:
-3262        if self._match(TokenType.L_PAREN, advance=False):
-3263            return self.expression(
-3264                exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise)
-3265            )
-3266
-3267        return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise())
+3241        constraints = []
+3242        while True:
+3243            constraint = self._parse_column_constraint()
+3244            if not constraint:
+3245                break
+3246            constraints.append(constraint)
+3247
+3248        if not kind and not constraints:
+3249            return this
+3250
+3251        return self.expression(exp.ColumnDef, this=this, kind=kind, constraints=constraints)
+3252
+3253    def _parse_auto_increment(self) -> exp.Expression:
+3254        start = None
+3255        increment = None
+3256
+3257        if self._match(TokenType.L_PAREN, advance=False):
+3258            args = self._parse_wrapped_csv(self._parse_bitwise)
+3259            start = seq_get(args, 0)
+3260            increment = seq_get(args, 1)
+3261        elif self._match_text_seq("START"):
+3262            start = self._parse_bitwise()
+3263            self._match_text_seq("INCREMENT")
+3264            increment = self._parse_bitwise()
+3265
+3266        if start and increment:
+3267            return exp.GeneratedAsIdentityColumnConstraint(start=start, increment=increment)
 3268
-3269    def _parse_generated_as_identity(self) -> exp.Expression:
-3270        if self._match_text_seq("BY", "DEFAULT"):
-3271            on_null = self._match_pair(TokenType.ON, TokenType.NULL)
-3272            this = self.expression(
-3273                exp.GeneratedAsIdentityColumnConstraint, this=False, on_null=on_null
-3274            )
-3275        else:
-3276            self._match_text_seq("ALWAYS")
-3277            this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True)
+3269        return exp.AutoIncrementColumnConstraint()
+3270
+3271    def _parse_compress(self) -> exp.Expression:
+3272        if self._match(TokenType.L_PAREN, advance=False):
+3273            return self.expression(
+3274                exp.CompressColumnConstraint, this=self._parse_wrapped_csv(self._parse_bitwise)
+3275            )
+3276
+3277        return self.expression(exp.CompressColumnConstraint, this=self._parse_bitwise())
 3278
-3279        self._match(TokenType.ALIAS)
-3280        identity = self._match_text_seq("IDENTITY")
-3281
-3282        if self._match(TokenType.L_PAREN):
-3283            if self._match_text_seq("START", "WITH"):
-3284                this.set("start", self._parse_bitwise())
-3285            if self._match_text_seq("INCREMENT", "BY"):
-3286                this.set("increment", self._parse_bitwise())
-3287            if self._match_text_seq("MINVALUE"):
-3288                this.set("minvalue", self._parse_bitwise())
-3289            if self._match_text_seq("MAXVALUE"):
-3290                this.set("maxvalue", self._parse_bitwise())
+3279    def _parse_generated_as_identity(self) -> exp.Expression:
+3280        if self._match_text_seq("BY", "DEFAULT"):
+3281            on_null = self._match_pair(TokenType.ON, TokenType.NULL)
+3282            this = self.expression(
+3283                exp.GeneratedAsIdentityColumnConstraint, this=False, on_null=on_null
+3284            )
+3285        else:
+3286            self._match_text_seq("ALWAYS")
+3287            this = self.expression(exp.GeneratedAsIdentityColumnConstraint, this=True)
+3288
+3289        self._match(TokenType.ALIAS)
+3290        identity = self._match_text_seq("IDENTITY")
 3291
-3292            if self._match_text_seq("CYCLE"):
-3293                this.set("cycle", True)
-3294            elif self._match_text_seq("NO", "CYCLE"):
-3295                this.set("cycle", False)
-3296
-3297            if not identity:
-3298                this.set("expression", self._parse_bitwise())
-3299
-3300            self._match_r_paren()
+3292        if self._match(TokenType.L_PAREN):
+3293            if self._match_text_seq("START", "WITH"):
+3294                this.set("start", self._parse_bitwise())
+3295            if self._match_text_seq("INCREMENT", "BY"):
+3296                this.set("increment", self._parse_bitwise())
+3297            if self._match_text_seq("MINVALUE"):
+3298                this.set("minvalue", self._parse_bitwise())
+3299            if self._match_text_seq("MAXVALUE"):
+3300                this.set("maxvalue", self._parse_bitwise())
 3301
-3302        return this
-3303
-3304    def _parse_inline(self) -> t.Optional[exp.Expression]:
-3305        self._match_text_seq("LENGTH")
-3306        return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise())
-3307
-3308    def _parse_not_constraint(self) -> t.Optional[exp.Expression]:
-3309        if self._match_text_seq("NULL"):
-3310            return self.expression(exp.NotNullColumnConstraint)
-3311        if self._match_text_seq("CASESPECIFIC"):
-3312            return self.expression(exp.CaseSpecificColumnConstraint, not_=True)
-3313        return None
-3314
-3315    def _parse_column_constraint(self) -> t.Optional[exp.Expression]:
-3316        if self._match(TokenType.CONSTRAINT):
-3317            this = self._parse_id_var()
-3318        else:
-3319            this = None
-3320
-3321        if self._match_texts(self.CONSTRAINT_PARSERS):
-3322            return self.expression(
-3323                exp.ColumnConstraint,
-3324                this=this,
-3325                kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self),
-3326            )
-3327
-3328        return this
-3329
-3330    def _parse_constraint(self) -> t.Optional[exp.Expression]:
-3331        if not self._match(TokenType.CONSTRAINT):
-3332            return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS)
-3333
-3334        this = self._parse_id_var()
-3335        expressions = []
-3336
-3337        while True:
-3338            constraint = self._parse_unnamed_constraint() or self._parse_function()
-3339            if not constraint:
-3340                break
-3341            expressions.append(constraint)
-3342
-3343        return self.expression(exp.Constraint, this=this, expressions=expressions)
-3344
-3345    def _parse_unnamed_constraint(
-3346        self, constraints: t.Optional[t.Collection[str]] = None
-3347    ) -> t.Optional[exp.Expression]:
-3348        if not self._match_texts(constraints or self.CONSTRAINT_PARSERS):
-3349            return None
-3350
-3351        constraint = self._prev.text.upper()
-3352        if constraint not in self.CONSTRAINT_PARSERS:
-3353            self.raise_error(f"No parser found for schema constraint {constraint}.")
+3302            if self._match_text_seq("CYCLE"):
+3303                this.set("cycle", True)
+3304            elif self._match_text_seq("NO", "CYCLE"):
+3305                this.set("cycle", False)
+3306
+3307            if not identity:
+3308                this.set("expression", self._parse_bitwise())
+3309
+3310            self._match_r_paren()
+3311
+3312        return this
+3313
+3314    def _parse_inline(self) -> t.Optional[exp.Expression]:
+3315        self._match_text_seq("LENGTH")
+3316        return self.expression(exp.InlineLengthColumnConstraint, this=self._parse_bitwise())
+3317
+3318    def _parse_not_constraint(self) -> t.Optional[exp.Expression]:
+3319        if self._match_text_seq("NULL"):
+3320            return self.expression(exp.NotNullColumnConstraint)
+3321        if self._match_text_seq("CASESPECIFIC"):
+3322            return self.expression(exp.CaseSpecificColumnConstraint, not_=True)
+3323        return None
+3324
+3325    def _parse_column_constraint(self) -> t.Optional[exp.Expression]:
+3326        if self._match(TokenType.CONSTRAINT):
+3327            this = self._parse_id_var()
+3328        else:
+3329            this = None
+3330
+3331        if self._match_texts(self.CONSTRAINT_PARSERS):
+3332            return self.expression(
+3333                exp.ColumnConstraint,
+3334                this=this,
+3335                kind=self.CONSTRAINT_PARSERS[self._prev.text.upper()](self),
+3336            )
+3337
+3338        return this
+3339
+3340    def _parse_constraint(self) -> t.Optional[exp.Expression]:
+3341        if not self._match(TokenType.CONSTRAINT):
+3342            return self._parse_unnamed_constraint(constraints=self.SCHEMA_UNNAMED_CONSTRAINTS)
+3343
+3344        this = self._parse_id_var()
+3345        expressions = []
+3346
+3347        while True:
+3348            constraint = self._parse_unnamed_constraint() or self._parse_function()
+3349            if not constraint:
+3350                break
+3351            expressions.append(constraint)
+3352
+3353        return self.expression(exp.Constraint, this=this, expressions=expressions)
 3354
-3355        return self.CONSTRAINT_PARSERS[constraint](self)
-3356
-3357    def _parse_unique(self) -> exp.Expression:
-3358        if not self._match(TokenType.L_PAREN, advance=False):
-3359            return self.expression(exp.UniqueColumnConstraint)
-3360        return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars())
-3361
-3362    def _parse_key_constraint_options(self) -> t.List[str]:
-3363        options = []
-3364        while True:
-3365            if not self._curr:
-3366                break
-3367
-3368            if self._match(TokenType.ON):
-3369                action = None
-3370                on = self._advance_any() and self._prev.text
+3355    def _parse_unnamed_constraint(
+3356        self, constraints: t.Optional[t.Collection[str]] = None
+3357    ) -> t.Optional[exp.Expression]:
+3358        if not self._match_texts(constraints or self.CONSTRAINT_PARSERS):
+3359            return None
+3360
+3361        constraint = self._prev.text.upper()
+3362        if constraint not in self.CONSTRAINT_PARSERS:
+3363            self.raise_error(f"No parser found for schema constraint {constraint}.")
+3364
+3365        return self.CONSTRAINT_PARSERS[constraint](self)
+3366
+3367    def _parse_unique(self) -> exp.Expression:
+3368        if not self._match(TokenType.L_PAREN, advance=False):
+3369            return self.expression(exp.UniqueColumnConstraint)
+3370        return self.expression(exp.Unique, expressions=self._parse_wrapped_id_vars())
 3371
-3372                if self._match_text_seq("NO", "ACTION"):
-3373                    action = "NO ACTION"
-3374                elif self._match_text_seq("CASCADE"):
-3375                    action = "CASCADE"
-3376                elif self._match_pair(TokenType.SET, TokenType.NULL):
-3377                    action = "SET NULL"
-3378                elif self._match_pair(TokenType.SET, TokenType.DEFAULT):
-3379                    action = "SET DEFAULT"
-3380                else:
-3381                    self.raise_error("Invalid key constraint")
-3382
-3383                options.append(f"ON {on} {action}")
-3384            elif self._match_text_seq("NOT", "ENFORCED"):
-3385                options.append("NOT ENFORCED")
-3386            elif self._match_text_seq("DEFERRABLE"):
-3387                options.append("DEFERRABLE")
-3388            elif self._match_text_seq("INITIALLY", "DEFERRED"):
-3389                options.append("INITIALLY DEFERRED")
-3390            elif self._match_text_seq("NORELY"):
-3391                options.append("NORELY")
-3392            elif self._match_text_seq("MATCH", "FULL"):
-3393                options.append("MATCH FULL")
-3394            else:
-3395                break
-3396
-3397        return options
-3398
-3399    def _parse_references(self, match=True) -> t.Optional[exp.Expression]:
-3400        if match and not self._match(TokenType.REFERENCES):
-3401            return None
-3402
-3403        expressions = None
-3404        this = self._parse_id_var()
-3405
-3406        if self._match(TokenType.L_PAREN, advance=False):
-3407            expressions = self._parse_wrapped_id_vars()
+3372    def _parse_key_constraint_options(self) -> t.List[str]:
+3373        options = []
+3374        while True:
+3375            if not self._curr:
+3376                break
+3377
+3378            if self._match(TokenType.ON):
+3379                action = None
+3380                on = self._advance_any() and self._prev.text
+3381
+3382                if self._match_text_seq("NO", "ACTION"):
+3383                    action = "NO ACTION"
+3384                elif self._match_text_seq("CASCADE"):
+3385                    action = "CASCADE"
+3386                elif self._match_pair(TokenType.SET, TokenType.NULL):
+3387                    action = "SET NULL"
+3388                elif self._match_pair(TokenType.SET, TokenType.DEFAULT):
+3389                    action = "SET DEFAULT"
+3390                else:
+3391                    self.raise_error("Invalid key constraint")
+3392
+3393                options.append(f"ON {on} {action}")
+3394            elif self._match_text_seq("NOT", "ENFORCED"):
+3395                options.append("NOT ENFORCED")
+3396            elif self._match_text_seq("DEFERRABLE"):
+3397                options.append("DEFERRABLE")
+3398            elif self._match_text_seq("INITIALLY", "DEFERRED"):
+3399                options.append("INITIALLY DEFERRED")
+3400            elif self._match_text_seq("NORELY"):
+3401                options.append("NORELY")
+3402            elif self._match_text_seq("MATCH", "FULL"):
+3403                options.append("MATCH FULL")
+3404            else:
+3405                break
+3406
+3407        return options
 3408
-3409        options = self._parse_key_constraint_options()
-3410        return self.expression(exp.Reference, this=this, expressions=expressions, options=options)
-3411
-3412    def _parse_foreign_key(self) -> exp.Expression:
-3413        expressions = self._parse_wrapped_id_vars()
-3414        reference = self._parse_references()
-3415        options = {}
-3416
-3417        while self._match(TokenType.ON):
-3418            if not self._match_set((TokenType.DELETE, TokenType.UPDATE)):
-3419                self.raise_error("Expected DELETE or UPDATE")
-3420
-3421            kind = self._prev.text.lower()
-3422
-3423            if self._match_text_seq("NO", "ACTION"):
-3424                action = "NO ACTION"
-3425            elif self._match(TokenType.SET):
-3426                self._match_set((TokenType.NULL, TokenType.DEFAULT))
-3427                action = "SET " + self._prev.text.upper()
-3428            else:
-3429                self._advance()
-3430                action = self._prev.text.upper()
-3431
-3432            options[kind] = action
-3433
-3434        return self.expression(
-3435            exp.ForeignKey, expressions=expressions, reference=reference, **options  # type: ignore
-3436        )
-3437
-3438    def _parse_primary_key(self) -> exp.Expression:
-3439        desc = (
-3440            self._match_set((TokenType.ASC, TokenType.DESC))
-3441            and self._prev.token_type == TokenType.DESC
-3442        )
+3409    def _parse_references(self, match: bool = True) -> t.Optional[exp.Expression]:
+3410        if match and not self._match(TokenType.REFERENCES):
+3411            return None
+3412
+3413        expressions = None
+3414        this = self._parse_id_var()
+3415
+3416        if self._match(TokenType.L_PAREN, advance=False):
+3417            expressions = self._parse_wrapped_id_vars()
+3418
+3419        options = self._parse_key_constraint_options()
+3420        return self.expression(exp.Reference, this=this, expressions=expressions, options=options)
+3421
+3422    def _parse_foreign_key(self) -> exp.Expression:
+3423        expressions = self._parse_wrapped_id_vars()
+3424        reference = self._parse_references()
+3425        options = {}
+3426
+3427        while self._match(TokenType.ON):
+3428            if not self._match_set((TokenType.DELETE, TokenType.UPDATE)):
+3429                self.raise_error("Expected DELETE or UPDATE")
+3430
+3431            kind = self._prev.text.lower()
+3432
+3433            if self._match_text_seq("NO", "ACTION"):
+3434                action = "NO ACTION"
+3435            elif self._match(TokenType.SET):
+3436                self._match_set((TokenType.NULL, TokenType.DEFAULT))
+3437                action = "SET " + self._prev.text.upper()
+3438            else:
+3439                self._advance()
+3440                action = self._prev.text.upper()
+3441
+3442            options[kind] = action
 3443
-3444        if not self._match(TokenType.L_PAREN, advance=False):
-3445            return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc)
-3446
-3447        expressions = self._parse_wrapped_csv(self._parse_field)
-3448        options = self._parse_key_constraint_options()
-3449        return self.expression(exp.PrimaryKey, expressions=expressions, options=options)
-3450
-3451    def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-3452        if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)):
-3453            return this
-3454
-3455        bracket_kind = self._prev.token_type
-3456        expressions: t.List[t.Optional[exp.Expression]]
-3457
-3458        if self._match(TokenType.COLON):
-3459            expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())]
-3460        else:
-3461            expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction()))
-3462
-3463        # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs
-3464        if bracket_kind == TokenType.L_BRACE:
-3465            this = self.expression(exp.Struct, expressions=expressions)
-3466        elif not this or this.name.upper() == "ARRAY":
-3467            this = self.expression(exp.Array, expressions=expressions)
-3468        else:
-3469            expressions = apply_index_offset(this, expressions, -self.index_offset)
-3470            this = self.expression(exp.Bracket, this=this, expressions=expressions)
-3471
-3472        if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET:
-3473            self.raise_error("Expected ]")
-3474        elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE:
-3475            self.raise_error("Expected }")
-3476
-3477        self._add_comments(this)
-3478        return self._parse_bracket(this)
-3479
-3480    def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
-3481        if self._match(TokenType.COLON):
-3482            return self.expression(exp.Slice, this=this, expression=self._parse_conjunction())
-3483        return this
-3484
-3485    def _parse_case(self) -> t.Optional[exp.Expression]:
-3486        ifs = []
-3487        default = None
-3488
-3489        expression = self._parse_conjunction()
-3490
-3491        while self._match(TokenType.WHEN):
-3492            this = self._parse_conjunction()
-3493            self._match(TokenType.THEN)
-3494            then = self._parse_conjunction()
-3495            ifs.append(self.expression(exp.If, this=this, true=then))
-3496
-3497        if self._match(TokenType.ELSE):
-3498            default = self._parse_conjunction()
-3499
-3500        if not self._match(TokenType.END):
-3501            self.raise_error("Expected END after CASE", self._prev)
-3502
-3503        return self._parse_window(
-3504            self.expression(exp.Case, this=expression, ifs=ifs, default=default)
-3505        )
+3444        return self.expression(
+3445            exp.ForeignKey, expressions=expressions, reference=reference, **options  # type: ignore
+3446        )
+3447
+3448    def _parse_primary_key(self) -> exp.Expression:
+3449        desc = (
+3450            self._match_set((TokenType.ASC, TokenType.DESC))
+3451            and self._prev.token_type == TokenType.DESC
+3452        )
+3453
+3454        if not self._match(TokenType.L_PAREN, advance=False):
+3455            return self.expression(exp.PrimaryKeyColumnConstraint, desc=desc)
+3456
+3457        expressions = self._parse_wrapped_csv(self._parse_field)
+3458        options = self._parse_key_constraint_options()
+3459        return self.expression(exp.PrimaryKey, expressions=expressions, options=options)
+3460
+3461    def _parse_bracket(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+3462        if not self._match_set((TokenType.L_BRACKET, TokenType.L_BRACE)):
+3463            return this
+3464
+3465        bracket_kind = self._prev.token_type
+3466        expressions: t.List[t.Optional[exp.Expression]]
+3467
+3468        if self._match(TokenType.COLON):
+3469            expressions = [self.expression(exp.Slice, expression=self._parse_conjunction())]
+3470        else:
+3471            expressions = self._parse_csv(lambda: self._parse_slice(self._parse_conjunction()))
+3472
+3473        # https://duckdb.org/docs/sql/data_types/struct.html#creating-structs
+3474        if bracket_kind == TokenType.L_BRACE:
+3475            this = self.expression(exp.Struct, expressions=expressions)
+3476        elif not this or this.name.upper() == "ARRAY":
+3477            this = self.expression(exp.Array, expressions=expressions)
+3478        else:
+3479            expressions = apply_index_offset(this, expressions, -self.index_offset)
+3480            this = self.expression(exp.Bracket, this=this, expressions=expressions)
+3481
+3482        if not self._match(TokenType.R_BRACKET) and bracket_kind == TokenType.L_BRACKET:
+3483            self.raise_error("Expected ]")
+3484        elif not self._match(TokenType.R_BRACE) and bracket_kind == TokenType.L_BRACE:
+3485            self.raise_error("Expected }")
+3486
+3487        self._add_comments(this)
+3488        return self._parse_bracket(this)
+3489
+3490    def _parse_slice(self, this: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
+3491        if self._match(TokenType.COLON):
+3492            return self.expression(exp.Slice, this=this, expression=self._parse_conjunction())
+3493        return this
+3494
+3495    def _parse_case(self) -> t.Optional[exp.Expression]:
+3496        ifs = []
+3497        default = None
+3498
+3499        expression = self._parse_conjunction()
+3500
+3501        while self._match(TokenType.WHEN):
+3502            this = self._parse_conjunction()
+3503            self._match(TokenType.THEN)
+3504            then = self._parse_conjunction()
+3505            ifs.append(self.expression(exp.If, this=this, true=then))
 3506
-3507    def _parse_if(self) -> t.Optional[exp.Expression]:
-3508        if self._match(TokenType.L_PAREN):
-3509            args = self._parse_csv(self._parse_conjunction)
-3510            this = exp.If.from_arg_list(args)
-3511            self.validate_expression(this, args)
-3512            self._match_r_paren()
-3513        else:
-3514            index = self._index - 1
-3515            condition = self._parse_conjunction()
+3507        if self._match(TokenType.ELSE):
+3508            default = self._parse_conjunction()
+3509
+3510        if not self._match(TokenType.END):
+3511            self.raise_error("Expected END after CASE", self._prev)
+3512
+3513        return self._parse_window(
+3514            self.expression(exp.Case, this=expression, ifs=ifs, default=default)
+3515        )
 3516
-3517            if not condition:
-3518                self._retreat(index)
-3519                return None
-3520
-3521            self._match(TokenType.THEN)
-3522            true = self._parse_conjunction()
-3523            false = self._parse_conjunction() if self._match(TokenType.ELSE) else None
-3524            self._match(TokenType.END)
-3525            this = self.expression(exp.If, this=condition, true=true, false=false)
+3517    def _parse_if(self) -> t.Optional[exp.Expression]:
+3518        if self._match(TokenType.L_PAREN):
+3519            args = self._parse_csv(self._parse_conjunction)
+3520            this = exp.If.from_arg_list(args)
+3521            self.validate_expression(this, args)
+3522            self._match_r_paren()
+3523        else:
+3524            index = self._index - 1
+3525            condition = self._parse_conjunction()
 3526
-3527        return self._parse_window(this)
-3528
-3529    def _parse_extract(self) -> exp.Expression:
-3530        this = self._parse_function() or self._parse_var() or self._parse_type()
-3531
-3532        if self._match(TokenType.FROM):
-3533            return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
-3534
-3535        if not self._match(TokenType.COMMA):
-3536            self.raise_error("Expected FROM or comma after EXTRACT", self._prev)
-3537
-3538        return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
-3539
-3540    def _parse_cast(self, strict: bool) -> exp.Expression:
-3541        this = self._parse_conjunction()
-3542
-3543        if not self._match(TokenType.ALIAS):
-3544            if self._match(TokenType.COMMA):
-3545                return self.expression(
-3546                    exp.CastToStrType, this=this, expression=self._parse_string()
-3547                )
-3548            else:
-3549                self.raise_error("Expected AS after CAST")
-3550
-3551        to = self._parse_types()
+3527            if not condition:
+3528                self._retreat(index)
+3529                return None
+3530
+3531            self._match(TokenType.THEN)
+3532            true = self._parse_conjunction()
+3533            false = self._parse_conjunction() if self._match(TokenType.ELSE) else None
+3534            self._match(TokenType.END)
+3535            this = self.expression(exp.If, this=condition, true=true, false=false)
+3536
+3537        return self._parse_window(this)
+3538
+3539    def _parse_extract(self) -> exp.Expression:
+3540        this = self._parse_function() or self._parse_var() or self._parse_type()
+3541
+3542        if self._match(TokenType.FROM):
+3543            return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
+3544
+3545        if not self._match(TokenType.COMMA):
+3546            self.raise_error("Expected FROM or comma after EXTRACT", self._prev)
+3547
+3548        return self.expression(exp.Extract, this=this, expression=self._parse_bitwise())
+3549
+3550    def _parse_cast(self, strict: bool) -> exp.Expression:
+3551        this = self._parse_conjunction()
 3552
-3553        if not to:
-3554            self.raise_error("Expected TYPE after CAST")
-3555        elif to.this == exp.DataType.Type.CHAR:
-3556            if self._match(TokenType.CHARACTER_SET):
-3557                to = self.expression(exp.CharacterSet, this=self._parse_var_or_string())
-3558
-3559        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
+3553        if not self._match(TokenType.ALIAS):
+3554            if self._match(TokenType.COMMA):
+3555                return self.expression(
+3556                    exp.CastToStrType, this=this, expression=self._parse_string()
+3557                )
+3558            else:
+3559                self.raise_error("Expected AS after CAST")
 3560
-3561    def _parse_string_agg(self) -> exp.Expression:
-3562        expression: t.Optional[exp.Expression]
-3563
-3564        if self._match(TokenType.DISTINCT):
-3565            args = self._parse_csv(self._parse_conjunction)
-3566            expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)])
-3567        else:
-3568            args = self._parse_csv(self._parse_conjunction)
-3569            expression = seq_get(args, 0)
+3561        to = self._parse_types()
+3562
+3563        if not to:
+3564            self.raise_error("Expected TYPE after CAST")
+3565        elif to.this == exp.DataType.Type.CHAR:
+3566            if self._match(TokenType.CHARACTER_SET):
+3567                to = self.expression(exp.CharacterSet, this=self._parse_var_or_string())
+3568
+3569        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
 3570
-3571        index = self._index
-3572        if not self._match(TokenType.R_PAREN):
-3573            # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]])
-3574            order = self._parse_order(this=expression)
-3575            return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
-3576
-3577        # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]).
-3578        # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that
-3579        # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them.
-3580        if not self._match_text_seq("WITHIN", "GROUP"):
-3581            self._retreat(index)
-3582            this = exp.GroupConcat.from_arg_list(args)
-3583            self.validate_expression(this, args)
-3584            return this
-3585
-3586        self._match_l_paren()  # The corresponding match_r_paren will be called in parse_function (caller)
-3587        order = self._parse_order(this=expression)
-3588        return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
-3589
-3590    def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
-3591        to: t.Optional[exp.Expression]
-3592        this = self._parse_bitwise()
-3593
-3594        if self._match(TokenType.USING):
-3595            to = self.expression(exp.CharacterSet, this=self._parse_var())
-3596        elif self._match(TokenType.COMMA):
-3597            to = self._parse_bitwise()
-3598        else:
-3599            to = None
-3600
-3601        # Swap the argument order if needed to produce the correct AST
-3602        if self.CONVERT_TYPE_FIRST:
-3603            this, to = to, this
-3604
-3605        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
-3606
-3607    def _parse_decode(self) -> t.Optional[exp.Expression]:
-3608        """
-3609        There are generally two variants of the DECODE function:
+3571    def _parse_string_agg(self) -> exp.Expression:
+3572        expression: t.Optional[exp.Expression]
+3573
+3574        if self._match(TokenType.DISTINCT):
+3575            args = self._parse_csv(self._parse_conjunction)
+3576            expression = self.expression(exp.Distinct, expressions=[seq_get(args, 0)])
+3577        else:
+3578            args = self._parse_csv(self._parse_conjunction)
+3579            expression = seq_get(args, 0)
+3580
+3581        index = self._index
+3582        if not self._match(TokenType.R_PAREN):
+3583            # postgres: STRING_AGG([DISTINCT] expression, separator [ORDER BY expression1 {ASC | DESC} [, ...]])
+3584            order = self._parse_order(this=expression)
+3585            return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
+3586
+3587        # Checks if we can parse an order clause: WITHIN GROUP (ORDER BY <order_by_expression_list> [ASC | DESC]).
+3588        # This is done "manually", instead of letting _parse_window parse it into an exp.WithinGroup node, so that
+3589        # the STRING_AGG call is parsed like in MySQL / SQLite and can thus be transpiled more easily to them.
+3590        if not self._match_text_seq("WITHIN", "GROUP"):
+3591            self._retreat(index)
+3592            this = exp.GroupConcat.from_arg_list(args)
+3593            self.validate_expression(this, args)
+3594            return this
+3595
+3596        self._match_l_paren()  # The corresponding match_r_paren will be called in parse_function (caller)
+3597        order = self._parse_order(this=expression)
+3598        return self.expression(exp.GroupConcat, this=order, separator=seq_get(args, 1))
+3599
+3600    def _parse_convert(self, strict: bool) -> t.Optional[exp.Expression]:
+3601        to: t.Optional[exp.Expression]
+3602        this = self._parse_bitwise()
+3603
+3604        if self._match(TokenType.USING):
+3605            to = self.expression(exp.CharacterSet, this=self._parse_var())
+3606        elif self._match(TokenType.COMMA):
+3607            to = self._parse_bitwise()
+3608        else:
+3609            to = None
 3610
-3611        - DECODE(bin, charset)
-3612        - DECODE(expression, search, result [, search, result] ... [, default])
-3613
-3614        The second variant will always be parsed into a CASE expression. Note that NULL
-3615        needs special treatment, since we need to explicitly check for it with `IS NULL`,
-3616        instead of relying on pattern matching.
-3617        """
-3618        args = self._parse_csv(self._parse_conjunction)
-3619
-3620        if len(args) < 3:
-3621            return self.expression(exp.Decode, this=seq_get(args, 0), charset=seq_get(args, 1))
-3622
-3623        expression, *expressions = args
-3624        if not expression:
-3625            return None
-3626
-3627        ifs = []
-3628        for search, result in zip(expressions[::2], expressions[1::2]):
-3629            if not search or not result:
-3630                return None
-3631
-3632            if isinstance(search, exp.Literal):
-3633                ifs.append(
-3634                    exp.If(this=exp.EQ(this=expression.copy(), expression=search), true=result)
-3635                )
-3636            elif isinstance(search, exp.Null):
-3637                ifs.append(
-3638                    exp.If(this=exp.Is(this=expression.copy(), expression=exp.Null()), true=result)
-3639                )
-3640            else:
-3641                cond = exp.or_(
-3642                    exp.EQ(this=expression.copy(), expression=search),
-3643                    exp.and_(
-3644                        exp.Is(this=expression.copy(), expression=exp.Null()),
-3645                        exp.Is(this=search.copy(), expression=exp.Null()),
-3646                        copy=False,
-3647                    ),
-3648                    copy=False,
+3611        # Swap the argument order if needed to produce the correct AST
+3612        if self.CONVERT_TYPE_FIRST:
+3613            this, to = to, this
+3614
+3615        return self.expression(exp.Cast if strict else exp.TryCast, this=this, to=to)
+3616
+3617    def _parse_decode(self) -> t.Optional[exp.Expression]:
+3618        """
+3619        There are generally two variants of the DECODE function:
+3620
+3621        - DECODE(bin, charset)
+3622        - DECODE(expression, search, result [, search, result] ... [, default])
+3623
+3624        The second variant will always be parsed into a CASE expression. Note that NULL
+3625        needs special treatment, since we need to explicitly check for it with `IS NULL`,
+3626        instead of relying on pattern matching.
+3627        """
+3628        args = self._parse_csv(self._parse_conjunction)
+3629
+3630        if len(args) < 3:
+3631            return self.expression(exp.Decode, this=seq_get(args, 0), charset=seq_get(args, 1))
+3632
+3633        expression, *expressions = args
+3634        if not expression:
+3635            return None
+3636
+3637        ifs = []
+3638        for search, result in zip(expressions[::2], expressions[1::2]):
+3639            if not search or not result:
+3640                return None
+3641
+3642            if isinstance(search, exp.Literal):
+3643                ifs.append(
+3644                    exp.If(this=exp.EQ(this=expression.copy(), expression=search), true=result)
+3645                )
+3646            elif isinstance(search, exp.Null):
+3647                ifs.append(
+3648                    exp.If(this=exp.Is(this=expression.copy(), expression=exp.Null()), true=result)
 3649                )
-3650                ifs.append(exp.If(this=cond, true=result))
-3651
-3652        return exp.Case(ifs=ifs, default=expressions[-1] if len(expressions) % 2 == 1 else None)
-3653
-3654    def _parse_json_key_value(self) -> t.Optional[exp.Expression]:
-3655        self._match_text_seq("KEY")
-3656        key = self._parse_field()
-3657        self._match(TokenType.COLON)
-3658        self._match_text_seq("VALUE")
-3659        value = self._parse_field()
-3660        if not key and not value:
-3661            return None
-3662        return self.expression(exp.JSONKeyValue, this=key, expression=value)
+3650            else:
+3651                cond = exp.or_(
+3652                    exp.EQ(this=expression.copy(), expression=search),
+3653                    exp.and_(
+3654                        exp.Is(this=expression.copy(), expression=exp.Null()),
+3655                        exp.Is(this=search.copy(), expression=exp.Null()),
+3656                        copy=False,
+3657                    ),
+3658                    copy=False,
+3659                )
+3660                ifs.append(exp.If(this=cond, true=result))
+3661
+3662        return exp.Case(ifs=ifs, default=expressions[-1] if len(expressions) % 2 == 1 else None)
 3663
-3664    def _parse_json_object(self) -> exp.Expression:
-3665        expressions = self._parse_csv(self._parse_json_key_value)
-3666
-3667        null_handling = None
-3668        if self._match_text_seq("NULL", "ON", "NULL"):
-3669            null_handling = "NULL ON NULL"
-3670        elif self._match_text_seq("ABSENT", "ON", "NULL"):
-3671            null_handling = "ABSENT ON NULL"
-3672
-3673        unique_keys = None
-3674        if self._match_text_seq("WITH", "UNIQUE"):
-3675            unique_keys = True
-3676        elif self._match_text_seq("WITHOUT", "UNIQUE"):
-3677            unique_keys = False
-3678
-3679        self._match_text_seq("KEYS")
-3680
-3681        return_type = self._match_text_seq("RETURNING") and self._parse_type()
-3682        format_json = self._match_text_seq("FORMAT", "JSON")
-3683        encoding = self._match_text_seq("ENCODING") and self._parse_var()
-3684
-3685        return self.expression(
-3686            exp.JSONObject,
-3687            expressions=expressions,
-3688            null_handling=null_handling,
-3689            unique_keys=unique_keys,
-3690            return_type=return_type,
-3691            format_json=format_json,
-3692            encoding=encoding,
-3693        )
+3664    def _parse_json_key_value(self) -> t.Optional[exp.Expression]:
+3665        self._match_text_seq("KEY")
+3666        key = self._parse_field()
+3667        self._match(TokenType.COLON)
+3668        self._match_text_seq("VALUE")
+3669        value = self._parse_field()
+3670        if not key and not value:
+3671            return None
+3672        return self.expression(exp.JSONKeyValue, this=key, expression=value)
+3673
+3674    def _parse_json_object(self) -> exp.Expression:
+3675        expressions = self._parse_csv(self._parse_json_key_value)
+3676
+3677        null_handling = None
+3678        if self._match_text_seq("NULL", "ON", "NULL"):
+3679            null_handling = "NULL ON NULL"
+3680        elif self._match_text_seq("ABSENT", "ON", "NULL"):
+3681            null_handling = "ABSENT ON NULL"
+3682
+3683        unique_keys = None
+3684        if self._match_text_seq("WITH", "UNIQUE"):
+3685            unique_keys = True
+3686        elif self._match_text_seq("WITHOUT", "UNIQUE"):
+3687            unique_keys = False
+3688
+3689        self._match_text_seq("KEYS")
+3690
+3691        return_type = self._match_text_seq("RETURNING") and self._parse_type()
+3692        format_json = self._match_text_seq("FORMAT", "JSON")
+3693        encoding = self._match_text_seq("ENCODING") and self._parse_var()
 3694
-3695    def _parse_logarithm(self) -> exp.Expression:
-3696        # Default argument order is base, expression
-3697        args = self._parse_csv(self._parse_range)
-3698
-3699        if len(args) > 1:
-3700            if not self.LOG_BASE_FIRST:
-3701                args.reverse()
-3702            return exp.Log.from_arg_list(args)
-3703
-3704        return self.expression(
-3705            exp.Ln if self.LOG_DEFAULTS_TO_LN else exp.Log, this=seq_get(args, 0)
-3706        )
-3707
-3708    def _parse_match_against(self) -> exp.Expression:
-3709        expressions = self._parse_csv(self._parse_column)
-3710
-3711        self._match_text_seq(")", "AGAINST", "(")
-3712
-3713        this = self._parse_string()
-3714
-3715        if self._match_text_seq("IN", "NATURAL", "LANGUAGE", "MODE"):
-3716            modifier = "IN NATURAL LANGUAGE MODE"
-3717            if self._match_text_seq("WITH", "QUERY", "EXPANSION"):
-3718                modifier = f"{modifier} WITH QUERY EXPANSION"
-3719        elif self._match_text_seq("IN", "BOOLEAN", "MODE"):
-3720            modifier = "IN BOOLEAN MODE"
-3721        elif self._match_text_seq("WITH", "QUERY", "EXPANSION"):
-3722            modifier = "WITH QUERY EXPANSION"
-3723        else:
-3724            modifier = None
-3725
-3726        return self.expression(
-3727            exp.MatchAgainst, this=this, expressions=expressions, modifier=modifier
-3728        )
-3729
-3730    # https://learn.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql?view=sql-server-ver16
-3731    def _parse_open_json(self) -> exp.Expression:
-3732        this = self._parse_bitwise()
-3733        path = self._match(TokenType.COMMA) and self._parse_string()
-3734
-3735        def _parse_open_json_column_def() -> exp.Expression:
-3736            this = self._parse_field(any_token=True)
-3737            kind = self._parse_types()
-3738            path = self._parse_string()
-3739            as_json = self._match_pair(TokenType.ALIAS, TokenType.JSON)
-3740            return self.expression(
-3741                exp.OpenJSONColumnDef, this=this, kind=kind, path=path, as_json=as_json
-3742            )
-3743
-3744        expressions = None
-3745        if self._match_pair(TokenType.R_PAREN, TokenType.WITH):
-3746            self._match_l_paren()
-3747            expressions = self._parse_csv(_parse_open_json_column_def)
-3748
-3749        return self.expression(exp.OpenJSON, this=this, path=path, expressions=expressions)
-3750
-3751    def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
-3752        args = self._parse_csv(self._parse_bitwise)
+3695        return self.expression(
+3696            exp.JSONObject,
+3697            expressions=expressions,
+3698            null_handling=null_handling,
+3699            unique_keys=unique_keys,
+3700            return_type=return_type,
+3701            format_json=format_json,
+3702            encoding=encoding,
+3703        )
+3704
+3705    def _parse_logarithm(self) -> exp.Expression:
+3706        # Default argument order is base, expression
+3707        args = self._parse_csv(self._parse_range)
+3708
+3709        if len(args) > 1:
+3710            if not self.LOG_BASE_FIRST:
+3711                args.reverse()
+3712            return exp.Log.from_arg_list(args)
+3713
+3714        return self.expression(
+3715            exp.Ln if self.LOG_DEFAULTS_TO_LN else exp.Log, this=seq_get(args, 0)
+3716        )
+3717
+3718    def _parse_match_against(self) -> exp.Expression:
+3719        expressions = self._parse_csv(self._parse_column)
+3720
+3721        self._match_text_seq(")", "AGAINST", "(")
+3722
+3723        this = self._parse_string()
+3724
+3725        if self._match_text_seq("IN", "NATURAL", "LANGUAGE", "MODE"):
+3726            modifier = "IN NATURAL LANGUAGE MODE"
+3727            if self._match_text_seq("WITH", "QUERY", "EXPANSION"):
+3728                modifier = f"{modifier} WITH QUERY EXPANSION"
+3729        elif self._match_text_seq("IN", "BOOLEAN", "MODE"):
+3730            modifier = "IN BOOLEAN MODE"
+3731        elif self._match_text_seq("WITH", "QUERY", "EXPANSION"):
+3732            modifier = "WITH QUERY EXPANSION"
+3733        else:
+3734            modifier = None
+3735
+3736        return self.expression(
+3737            exp.MatchAgainst, this=this, expressions=expressions, modifier=modifier
+3738        )
+3739
+3740    # https://learn.microsoft.com/en-us/sql/t-sql/functions/openjson-transact-sql?view=sql-server-ver16
+3741    def _parse_open_json(self) -> exp.Expression:
+3742        this = self._parse_bitwise()
+3743        path = self._match(TokenType.COMMA) and self._parse_string()
+3744
+3745        def _parse_open_json_column_def() -> exp.Expression:
+3746            this = self._parse_field(any_token=True)
+3747            kind = self._parse_types()
+3748            path = self._parse_string()
+3749            as_json = self._match_pair(TokenType.ALIAS, TokenType.JSON)
+3750            return self.expression(
+3751                exp.OpenJSONColumnDef, this=this, kind=kind, path=path, as_json=as_json
+3752            )
 3753
-3754        if self._match(TokenType.IN):
-3755            return self.expression(
-3756                exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0)
-3757            )
+3754        expressions = None
+3755        if self._match_pair(TokenType.R_PAREN, TokenType.WITH):
+3756            self._match_l_paren()
+3757            expressions = self._parse_csv(_parse_open_json_column_def)
 3758
-3759        if haystack_first:
-3760            haystack = seq_get(args, 0)
-3761            needle = seq_get(args, 1)
-3762        else:
-3763            needle = seq_get(args, 0)
-3764            haystack = seq_get(args, 1)
-3765
-3766        this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2))
-3767
-3768        self.validate_expression(this, args)
-3769
-3770        return this
-3771
-3772    def _parse_join_hint(self, func_name: str) -> exp.Expression:
-3773        args = self._parse_csv(self._parse_table)
-3774        return exp.JoinHint(this=func_name.upper(), expressions=args)
+3759        return self.expression(exp.OpenJSON, this=this, path=path, expressions=expressions)
+3760
+3761    def _parse_position(self, haystack_first: bool = False) -> exp.Expression:
+3762        args = self._parse_csv(self._parse_bitwise)
+3763
+3764        if self._match(TokenType.IN):
+3765            return self.expression(
+3766                exp.StrPosition, this=self._parse_bitwise(), substr=seq_get(args, 0)
+3767            )
+3768
+3769        if haystack_first:
+3770            haystack = seq_get(args, 0)
+3771            needle = seq_get(args, 1)
+3772        else:
+3773            needle = seq_get(args, 0)
+3774            haystack = seq_get(args, 1)
 3775
-3776    def _parse_substring(self) -> exp.Expression:
-3777        # Postgres supports the form: substring(string [from int] [for int])
-3778        # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6
+3776        this = exp.StrPosition(this=haystack, substr=needle, position=seq_get(args, 2))
+3777
+3778        self.validate_expression(this, args)
 3779
-3780        args = self._parse_csv(self._parse_bitwise)
+3780        return this
 3781
-3782        if self._match(TokenType.FROM):
-3783            args.append(self._parse_bitwise())
-3784            if self._match(TokenType.FOR):
-3785                args.append(self._parse_bitwise())
-3786
-3787        this = exp.Substring.from_arg_list(args)
-3788        self.validate_expression(this, args)
+3782    def _parse_join_hint(self, func_name: str) -> exp.Expression:
+3783        args = self._parse_csv(self._parse_table)
+3784        return exp.JoinHint(this=func_name.upper(), expressions=args)
+3785
+3786    def _parse_substring(self) -> exp.Expression:
+3787        # Postgres supports the form: substring(string [from int] [for int])
+3788        # https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6
 3789
-3790        return this
+3790        args = self._parse_csv(self._parse_bitwise)
 3791
-3792    def _parse_struct(self) -> exp.Struct:
-3793        return exp.Struct.from_arg_list(self._parse_csv(lambda: self._parse_lambda(alias=True)))
-3794
-3795    def _parse_trim(self) -> exp.Expression:
-3796        # https://www.w3resource.com/sql/character-functions/trim.php
-3797        # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html
-3798
-3799        position = None
-3800        collation = None
+3792        if self._match(TokenType.FROM):
+3793            args.append(self._parse_bitwise())
+3794            if self._match(TokenType.FOR):
+3795                args.append(self._parse_bitwise())
+3796
+3797        this = exp.Substring.from_arg_list(args)
+3798        self.validate_expression(this, args)
+3799
+3800        return this
 3801
-3802        if self._match_texts(self.TRIM_TYPES):
-3803            position = self._prev.text.upper()
-3804
-3805        expression = self._parse_bitwise()
-3806        if self._match_set((TokenType.FROM, TokenType.COMMA)):
-3807            this = self._parse_bitwise()
-3808        else:
-3809            this = expression
-3810            expression = None
+3802    def _parse_trim(self) -> exp.Expression:
+3803        # https://www.w3resource.com/sql/character-functions/trim.php
+3804        # https://docs.oracle.com/javadb/10.8.3.0/ref/rreftrimfunc.html
+3805
+3806        position = None
+3807        collation = None
+3808
+3809        if self._match_texts(self.TRIM_TYPES):
+3810            position = self._prev.text.upper()
 3811
-3812        if self._match(TokenType.COLLATE):
-3813            collation = self._parse_bitwise()
-3814
-3815        return self.expression(
-3816            exp.Trim,
-3817            this=this,
-3818            position=position,
-3819            expression=expression,
-3820            collation=collation,
-3821        )
-3822
-3823    def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-3824        return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window)
-3825
-3826    def _parse_named_window(self) -> t.Optional[exp.Expression]:
-3827        return self._parse_window(self._parse_id_var(), alias=True)
-3828
-3829    def _parse_respect_or_ignore_nulls(
-3830        self, this: t.Optional[exp.Expression]
-3831    ) -> t.Optional[exp.Expression]:
-3832        if self._match_text_seq("IGNORE", "NULLS"):
-3833            return self.expression(exp.IgnoreNulls, this=this)
-3834        if self._match_text_seq("RESPECT", "NULLS"):
-3835            return self.expression(exp.RespectNulls, this=this)
-3836        return this
-3837
-3838    def _parse_window(
-3839        self, this: t.Optional[exp.Expression], alias: bool = False
-3840    ) -> t.Optional[exp.Expression]:
-3841        if self._match_pair(TokenType.FILTER, TokenType.L_PAREN):
-3842            this = self.expression(exp.Filter, this=this, expression=self._parse_where())
-3843            self._match_r_paren()
+3812        expression = self._parse_bitwise()
+3813        if self._match_set((TokenType.FROM, TokenType.COMMA)):
+3814            this = self._parse_bitwise()
+3815        else:
+3816            this = expression
+3817            expression = None
+3818
+3819        if self._match(TokenType.COLLATE):
+3820            collation = self._parse_bitwise()
+3821
+3822        return self.expression(
+3823            exp.Trim,
+3824            this=this,
+3825            position=position,
+3826            expression=expression,
+3827            collation=collation,
+3828        )
+3829
+3830    def _parse_window_clause(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+3831        return self._match(TokenType.WINDOW) and self._parse_csv(self._parse_named_window)
+3832
+3833    def _parse_named_window(self) -> t.Optional[exp.Expression]:
+3834        return self._parse_window(self._parse_id_var(), alias=True)
+3835
+3836    def _parse_respect_or_ignore_nulls(
+3837        self, this: t.Optional[exp.Expression]
+3838    ) -> t.Optional[exp.Expression]:
+3839        if self._match_text_seq("IGNORE", "NULLS"):
+3840            return self.expression(exp.IgnoreNulls, this=this)
+3841        if self._match_text_seq("RESPECT", "NULLS"):
+3842            return self.expression(exp.RespectNulls, this=this)
+3843        return this
 3844
-3845        # T-SQL allows the OVER (...) syntax after WITHIN GROUP.
-3846        # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16
-3847        if self._match_text_seq("WITHIN", "GROUP"):
-3848            order = self._parse_wrapped(self._parse_order)
-3849            this = self.expression(exp.WithinGroup, this=this, expression=order)
-3850
-3851        # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER
-3852        # Some dialects choose to implement and some do not.
-3853        # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html
-3854
-3855        # There is some code above in _parse_lambda that handles
-3856        #   SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ...
+3845    def _parse_window(
+3846        self, this: t.Optional[exp.Expression], alias: bool = False
+3847    ) -> t.Optional[exp.Expression]:
+3848        if self._match_pair(TokenType.FILTER, TokenType.L_PAREN):
+3849            this = self.expression(exp.Filter, this=this, expression=self._parse_where())
+3850            self._match_r_paren()
+3851
+3852        # T-SQL allows the OVER (...) syntax after WITHIN GROUP.
+3853        # https://learn.microsoft.com/en-us/sql/t-sql/functions/percentile-disc-transact-sql?view=sql-server-ver16
+3854        if self._match_text_seq("WITHIN", "GROUP"):
+3855            order = self._parse_wrapped(self._parse_order)
+3856            this = self.expression(exp.WithinGroup, this=this, expression=order)
 3857
-3858        # The below changes handle
-3859        #   SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ...
-3860
-3861        # Oracle allows both formats
-3862        #   (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html)
-3863        #   and Snowflake chose to do the same for familiarity
-3864        #   https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes
-3865        this = self._parse_respect_or_ignore_nulls(this)
-3866
-3867        # bigquery select from window x AS (partition by ...)
-3868        if alias:
-3869            over = None
-3870            self._match(TokenType.ALIAS)
-3871        elif not self._match_set(self.WINDOW_BEFORE_PAREN_TOKENS):
-3872            return this
-3873        else:
-3874            over = self._prev.text.upper()
-3875
-3876        if not self._match(TokenType.L_PAREN):
-3877            return self.expression(
-3878                exp.Window, this=this, alias=self._parse_id_var(False), over=over
-3879            )
-3880
-3881        window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS)
+3858        # SQL spec defines an optional [ { IGNORE | RESPECT } NULLS ] OVER
+3859        # Some dialects choose to implement and some do not.
+3860        # https://dev.mysql.com/doc/refman/8.0/en/window-function-descriptions.html
+3861
+3862        # There is some code above in _parse_lambda that handles
+3863        #   SELECT FIRST_VALUE(TABLE.COLUMN IGNORE|RESPECT NULLS) OVER ...
+3864
+3865        # The below changes handle
+3866        #   SELECT FIRST_VALUE(TABLE.COLUMN) IGNORE|RESPECT NULLS OVER ...
+3867
+3868        # Oracle allows both formats
+3869        #   (https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/img_text/first_value.html)
+3870        #   and Snowflake chose to do the same for familiarity
+3871        #   https://docs.snowflake.com/en/sql-reference/functions/first_value.html#usage-notes
+3872        this = self._parse_respect_or_ignore_nulls(this)
+3873
+3874        # bigquery select from window x AS (partition by ...)
+3875        if alias:
+3876            over = None
+3877            self._match(TokenType.ALIAS)
+3878        elif not self._match_set(self.WINDOW_BEFORE_PAREN_TOKENS):
+3879            return this
+3880        else:
+3881            over = self._prev.text.upper()
 3882
-3883        first = self._match(TokenType.FIRST)
-3884        if self._match_text_seq("LAST"):
-3885            first = False
-3886
-3887        partition = self._parse_partition_by()
-3888        order = self._parse_order()
-3889        kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text
-3890
-3891        if kind:
-3892            self._match(TokenType.BETWEEN)
-3893            start = self._parse_window_spec()
-3894            self._match(TokenType.AND)
-3895            end = self._parse_window_spec()
-3896
-3897            spec = self.expression(
-3898                exp.WindowSpec,
-3899                kind=kind,
-3900                start=start["value"],
-3901                start_side=start["side"],
-3902                end=end["value"],
-3903                end_side=end["side"],
-3904            )
-3905        else:
-3906            spec = None
-3907
-3908        self._match_r_paren()
-3909
-3910        return self.expression(
-3911            exp.Window,
-3912            this=this,
-3913            partition_by=partition,
-3914            order=order,
-3915            spec=spec,
-3916            alias=window_alias,
-3917            over=over,
-3918            first=first,
-3919        )
-3920
-3921    def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]:
-3922        self._match(TokenType.BETWEEN)
-3923
-3924        return {
-3925            "value": (
-3926                (self._match_text_seq("UNBOUNDED") and "UNBOUNDED")
-3927                or (self._match_text_seq("CURRENT", "ROW") and "CURRENT ROW")
-3928                or self._parse_bitwise()
-3929            ),
-3930            "side": self._match_texts(("PRECEDING", "FOLLOWING")) and self._prev.text,
-3931        }
-3932
-3933    def _parse_alias(
-3934        self, this: t.Optional[exp.Expression], explicit: bool = False
-3935    ) -> t.Optional[exp.Expression]:
-3936        any_token = self._match(TokenType.ALIAS)
-3937
-3938        if explicit and not any_token:
-3939            return this
-3940
-3941        if self._match(TokenType.L_PAREN):
-3942            aliases = self.expression(
-3943                exp.Aliases,
-3944                this=this,
-3945                expressions=self._parse_csv(lambda: self._parse_id_var(any_token)),
-3946            )
-3947            self._match_r_paren(aliases)
-3948            return aliases
-3949
-3950        alias = self._parse_id_var(any_token)
-3951
-3952        if alias:
-3953            return self.expression(exp.Alias, this=this, alias=alias)
-3954
-3955        return this
+3883        if not self._match(TokenType.L_PAREN):
+3884            return self.expression(
+3885                exp.Window, this=this, alias=self._parse_id_var(False), over=over
+3886            )
+3887
+3888        window_alias = self._parse_id_var(any_token=False, tokens=self.WINDOW_ALIAS_TOKENS)
+3889
+3890        first = self._match(TokenType.FIRST)
+3891        if self._match_text_seq("LAST"):
+3892            first = False
+3893
+3894        partition = self._parse_partition_by()
+3895        order = self._parse_order()
+3896        kind = self._match_set((TokenType.ROWS, TokenType.RANGE)) and self._prev.text
+3897
+3898        if kind:
+3899            self._match(TokenType.BETWEEN)
+3900            start = self._parse_window_spec()
+3901            self._match(TokenType.AND)
+3902            end = self._parse_window_spec()
+3903
+3904            spec = self.expression(
+3905                exp.WindowSpec,
+3906                kind=kind,
+3907                start=start["value"],
+3908                start_side=start["side"],
+3909                end=end["value"],
+3910                end_side=end["side"],
+3911            )
+3912        else:
+3913            spec = None
+3914
+3915        self._match_r_paren()
+3916
+3917        return self.expression(
+3918            exp.Window,
+3919            this=this,
+3920            partition_by=partition,
+3921            order=order,
+3922            spec=spec,
+3923            alias=window_alias,
+3924            over=over,
+3925            first=first,
+3926        )
+3927
+3928    def _parse_window_spec(self) -> t.Dict[str, t.Optional[str | exp.Expression]]:
+3929        self._match(TokenType.BETWEEN)
+3930
+3931        return {
+3932            "value": (
+3933                (self._match_text_seq("UNBOUNDED") and "UNBOUNDED")
+3934                or (self._match_text_seq("CURRENT", "ROW") and "CURRENT ROW")
+3935                or self._parse_bitwise()
+3936            ),
+3937            "side": self._match_texts(("PRECEDING", "FOLLOWING")) and self._prev.text,
+3938        }
+3939
+3940    def _parse_alias(
+3941        self, this: t.Optional[exp.Expression], explicit: bool = False
+3942    ) -> t.Optional[exp.Expression]:
+3943        any_token = self._match(TokenType.ALIAS)
+3944
+3945        if explicit and not any_token:
+3946            return this
+3947
+3948        if self._match(TokenType.L_PAREN):
+3949            aliases = self.expression(
+3950                exp.Aliases,
+3951                this=this,
+3952                expressions=self._parse_csv(lambda: self._parse_id_var(any_token)),
+3953            )
+3954            self._match_r_paren(aliases)
+3955            return aliases
 3956
-3957    def _parse_id_var(
-3958        self,
-3959        any_token: bool = True,
-3960        tokens: t.Optional[t.Collection[TokenType]] = None,
-3961        prefix_tokens: t.Optional[t.Collection[TokenType]] = None,
-3962    ) -> t.Optional[exp.Expression]:
-3963        identifier = self._parse_identifier()
-3964
-3965        if identifier:
-3966            return identifier
-3967
-3968        prefix = ""
-3969
-3970        if prefix_tokens:
-3971            while self._match_set(prefix_tokens):
-3972                prefix += self._prev.text
-3973
-3974        if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS):
-3975            quoted = self._prev.token_type == TokenType.STRING
-3976            return exp.Identifier(this=prefix + self._prev.text, quoted=quoted)
-3977
-3978        return None
-3979
-3980    def _parse_string(self) -> t.Optional[exp.Expression]:
-3981        if self._match(TokenType.STRING):
-3982            return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev)
-3983        return self._parse_placeholder()
+3957        alias = self._parse_id_var(any_token)
+3958
+3959        if alias:
+3960            return self.expression(exp.Alias, this=this, alias=alias)
+3961
+3962        return this
+3963
+3964    def _parse_id_var(
+3965        self,
+3966        any_token: bool = True,
+3967        tokens: t.Optional[t.Collection[TokenType]] = None,
+3968        prefix_tokens: t.Optional[t.Collection[TokenType]] = None,
+3969    ) -> t.Optional[exp.Expression]:
+3970        identifier = self._parse_identifier()
+3971
+3972        if identifier:
+3973            return identifier
+3974
+3975        prefix = ""
+3976
+3977        if prefix_tokens:
+3978            while self._match_set(prefix_tokens):
+3979                prefix += self._prev.text
+3980
+3981        if (any_token and self._advance_any()) or self._match_set(tokens or self.ID_VAR_TOKENS):
+3982            quoted = self._prev.token_type == TokenType.STRING
+3983            return exp.Identifier(this=prefix + self._prev.text, quoted=quoted)
 3984
-3985    def _parse_string_as_identifier(self) -> t.Optional[exp.Expression]:
-3986        return exp.to_identifier(self._match(TokenType.STRING) and self._prev.text, quoted=True)
-3987
-3988    def _parse_number(self) -> t.Optional[exp.Expression]:
-3989        if self._match(TokenType.NUMBER):
-3990            return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev)
-3991        return self._parse_placeholder()
-3992
-3993    def _parse_identifier(self) -> t.Optional[exp.Expression]:
-3994        if self._match(TokenType.IDENTIFIER):
-3995            return self.expression(exp.Identifier, this=self._prev.text, quoted=True)
-3996        return self._parse_placeholder()
-3997
-3998    def _parse_var(
-3999        self, any_token: bool = False, tokens: t.Optional[t.Collection[TokenType]] = None
-4000    ) -> t.Optional[exp.Expression]:
-4001        if (
-4002            (any_token and self._advance_any())
-4003            or self._match(TokenType.VAR)
-4004            or (self._match_set(tokens) if tokens else False)
-4005        ):
-4006            return self.expression(exp.Var, this=self._prev.text)
-4007        return self._parse_placeholder()
-4008
-4009    def _advance_any(self) -> t.Optional[Token]:
-4010        if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS:
-4011            self._advance()
-4012            return self._prev
-4013        return None
-4014
-4015    def _parse_var_or_string(self) -> t.Optional[exp.Expression]:
-4016        return self._parse_var() or self._parse_string()
-4017
-4018    def _parse_null(self) -> t.Optional[exp.Expression]:
-4019        if self._match(TokenType.NULL):
-4020            return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev)
-4021        return None
-4022
-4023    def _parse_boolean(self) -> t.Optional[exp.Expression]:
-4024        if self._match(TokenType.TRUE):
-4025            return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev)
-4026        if self._match(TokenType.FALSE):
-4027            return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev)
+3985        return None
+3986
+3987    def _parse_string(self) -> t.Optional[exp.Expression]:
+3988        if self._match(TokenType.STRING):
+3989            return self.PRIMARY_PARSERS[TokenType.STRING](self, self._prev)
+3990        return self._parse_placeholder()
+3991
+3992    def _parse_string_as_identifier(self) -> t.Optional[exp.Expression]:
+3993        return exp.to_identifier(self._match(TokenType.STRING) and self._prev.text, quoted=True)
+3994
+3995    def _parse_number(self) -> t.Optional[exp.Expression]:
+3996        if self._match(TokenType.NUMBER):
+3997            return self.PRIMARY_PARSERS[TokenType.NUMBER](self, self._prev)
+3998        return self._parse_placeholder()
+3999
+4000    def _parse_identifier(self) -> t.Optional[exp.Expression]:
+4001        if self._match(TokenType.IDENTIFIER):
+4002            return self.expression(exp.Identifier, this=self._prev.text, quoted=True)
+4003        return self._parse_placeholder()
+4004
+4005    def _parse_var(
+4006        self, any_token: bool = False, tokens: t.Optional[t.Collection[TokenType]] = None
+4007    ) -> t.Optional[exp.Expression]:
+4008        if (
+4009            (any_token and self._advance_any())
+4010            or self._match(TokenType.VAR)
+4011            or (self._match_set(tokens) if tokens else False)
+4012        ):
+4013            return self.expression(exp.Var, this=self._prev.text)
+4014        return self._parse_placeholder()
+4015
+4016    def _advance_any(self) -> t.Optional[Token]:
+4017        if self._curr and self._curr.token_type not in self.RESERVED_KEYWORDS:
+4018            self._advance()
+4019            return self._prev
+4020        return None
+4021
+4022    def _parse_var_or_string(self) -> t.Optional[exp.Expression]:
+4023        return self._parse_var() or self._parse_string()
+4024
+4025    def _parse_null(self) -> t.Optional[exp.Expression]:
+4026        if self._match(TokenType.NULL):
+4027            return self.PRIMARY_PARSERS[TokenType.NULL](self, self._prev)
 4028        return None
 4029
-4030    def _parse_star(self) -> t.Optional[exp.Expression]:
-4031        if self._match(TokenType.STAR):
-4032            return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev)
-4033        return None
-4034
-4035    def _parse_parameter(self) -> exp.Expression:
-4036        wrapped = self._match(TokenType.L_BRACE)
-4037        this = self._parse_var() or self._parse_identifier() or self._parse_primary()
-4038        self._match(TokenType.R_BRACE)
-4039        return self.expression(exp.Parameter, this=this, wrapped=wrapped)
-4040
-4041    def _parse_placeholder(self) -> t.Optional[exp.Expression]:
-4042        if self._match_set(self.PLACEHOLDER_PARSERS):
-4043            placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self)
-4044            if placeholder:
-4045                return placeholder
-4046            self._advance(-1)
-4047        return None
-4048
-4049    def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-4050        if not self._match(TokenType.EXCEPT):
-4051            return None
-4052        if self._match(TokenType.L_PAREN, advance=False):
-4053            return self._parse_wrapped_csv(self._parse_column)
-4054        return self._parse_csv(self._parse_column)
+4030    def _parse_boolean(self) -> t.Optional[exp.Expression]:
+4031        if self._match(TokenType.TRUE):
+4032            return self.PRIMARY_PARSERS[TokenType.TRUE](self, self._prev)
+4033        if self._match(TokenType.FALSE):
+4034            return self.PRIMARY_PARSERS[TokenType.FALSE](self, self._prev)
+4035        return None
+4036
+4037    def _parse_star(self) -> t.Optional[exp.Expression]:
+4038        if self._match(TokenType.STAR):
+4039            return self.PRIMARY_PARSERS[TokenType.STAR](self, self._prev)
+4040        return None
+4041
+4042    def _parse_parameter(self) -> exp.Expression:
+4043        wrapped = self._match(TokenType.L_BRACE)
+4044        this = self._parse_var() or self._parse_identifier() or self._parse_primary()
+4045        self._match(TokenType.R_BRACE)
+4046        return self.expression(exp.Parameter, this=this, wrapped=wrapped)
+4047
+4048    def _parse_placeholder(self) -> t.Optional[exp.Expression]:
+4049        if self._match_set(self.PLACEHOLDER_PARSERS):
+4050            placeholder = self.PLACEHOLDER_PARSERS[self._prev.token_type](self)
+4051            if placeholder:
+4052                return placeholder
+4053            self._advance(-1)
+4054        return None
 4055
-4056    def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
-4057        if not self._match(TokenType.REPLACE):
+4056    def _parse_except(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+4057        if not self._match(TokenType.EXCEPT):
 4058            return None
 4059        if self._match(TokenType.L_PAREN, advance=False):
-4060            return self._parse_wrapped_csv(self._parse_expression)
-4061        return self._parse_csv(self._parse_expression)
+4060            return self._parse_wrapped_csv(self._parse_column)
+4061        return self._parse_csv(self._parse_column)
 4062
-4063    def _parse_csv(
-4064        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA
-4065    ) -> t.List[t.Optional[exp.Expression]]:
-4066        parse_result = parse_method()
-4067        items = [parse_result] if parse_result is not None else []
-4068
-4069        while self._match(sep):
-4070            self._add_comments(parse_result)
-4071            parse_result = parse_method()
-4072            if parse_result is not None:
-4073                items.append(parse_result)
-4074
-4075        return items
-4076
-4077    def _parse_tokens(
-4078        self, parse_method: t.Callable, expressions: t.Dict
-4079    ) -> t.Optional[exp.Expression]:
-4080        this = parse_method()
+4063    def _parse_replace(self) -> t.Optional[t.List[t.Optional[exp.Expression]]]:
+4064        if not self._match(TokenType.REPLACE):
+4065            return None
+4066        if self._match(TokenType.L_PAREN, advance=False):
+4067            return self._parse_wrapped_csv(self._parse_expression)
+4068        return self._parse_csv(self._parse_expression)
+4069
+4070    def _parse_csv(
+4071        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA
+4072    ) -> t.List[t.Optional[exp.Expression]]:
+4073        parse_result = parse_method()
+4074        items = [parse_result] if parse_result is not None else []
+4075
+4076        while self._match(sep):
+4077            self._add_comments(parse_result)
+4078            parse_result = parse_method()
+4079            if parse_result is not None:
+4080                items.append(parse_result)
 4081
-4082        while self._match_set(expressions):
-4083            this = self.expression(
-4084                expressions[self._prev.token_type],
-4085                this=this,
-4086                comments=self._prev_comments,
-4087                expression=parse_method(),
-4088            )
-4089
-4090        return this
-4091
-4092    def _parse_wrapped_id_vars(self, optional: bool = False) -> t.List[t.Optional[exp.Expression]]:
-4093        return self._parse_wrapped_csv(self._parse_id_var, optional=optional)
-4094
-4095    def _parse_wrapped_csv(
-4096        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA, optional: bool = False
-4097    ) -> t.List[t.Optional[exp.Expression]]:
-4098        return self._parse_wrapped(
-4099            lambda: self._parse_csv(parse_method, sep=sep), optional=optional
-4100        )
+4082        return items
+4083
+4084    def _parse_tokens(
+4085        self, parse_method: t.Callable, expressions: t.Dict
+4086    ) -> t.Optional[exp.Expression]:
+4087        this = parse_method()
+4088
+4089        while self._match_set(expressions):
+4090            this = self.expression(
+4091                expressions[self._prev.token_type],
+4092                this=this,
+4093                comments=self._prev_comments,
+4094                expression=parse_method(),
+4095            )
+4096
+4097        return this
+4098
+4099    def _parse_wrapped_id_vars(self, optional: bool = False) -> t.List[t.Optional[exp.Expression]]:
+4100        return self._parse_wrapped_csv(self._parse_id_var, optional=optional)
 4101
-4102    def _parse_wrapped(self, parse_method: t.Callable, optional: bool = False) -> t.Any:
-4103        wrapped = self._match(TokenType.L_PAREN)
-4104        if not wrapped and not optional:
-4105            self.raise_error("Expecting (")
-4106        parse_result = parse_method()
-4107        if wrapped:
-4108            self._match_r_paren()
-4109        return parse_result
-4110
-4111    def _parse_select_or_expression(self, alias: bool = False) -> t.Optional[exp.Expression]:
-4112        return self._parse_select() or self._parse_set_operations(
-4113            self._parse_expression() if alias else self._parse_conjunction()
-4114        )
-4115
-4116    def _parse_ddl_select(self) -> t.Optional[exp.Expression]:
-4117        return self._parse_set_operations(
-4118            self._parse_select(nested=True, parse_subquery_alias=False)
-4119        )
-4120
-4121    def _parse_transaction(self) -> exp.Expression:
-4122        this = None
-4123        if self._match_texts(self.TRANSACTION_KIND):
-4124            this = self._prev.text
-4125
-4126        self._match_texts({"TRANSACTION", "WORK"})
+4102    def _parse_wrapped_csv(
+4103        self, parse_method: t.Callable, sep: TokenType = TokenType.COMMA, optional: bool = False
+4104    ) -> t.List[t.Optional[exp.Expression]]:
+4105        return self._parse_wrapped(
+4106            lambda: self._parse_csv(parse_method, sep=sep), optional=optional
+4107        )
+4108
+4109    def _parse_wrapped(self, parse_method: t.Callable, optional: bool = False) -> t.Any:
+4110        wrapped = self._match(TokenType.L_PAREN)
+4111        if not wrapped and not optional:
+4112            self.raise_error("Expecting (")
+4113        parse_result = parse_method()
+4114        if wrapped:
+4115            self._match_r_paren()
+4116        return parse_result
+4117
+4118    def _parse_select_or_expression(self, alias: bool = False) -> t.Optional[exp.Expression]:
+4119        return self._parse_select() or self._parse_set_operations(
+4120            self._parse_expression() if alias else self._parse_conjunction()
+4121        )
+4122
+4123    def _parse_ddl_select(self) -> t.Optional[exp.Expression]:
+4124        return self._parse_set_operations(
+4125            self._parse_select(nested=True, parse_subquery_alias=False)
+4126        )
 4127
-4128        modes = []
-4129        while True:
-4130            mode = []
-4131            while self._match(TokenType.VAR):
-4132                mode.append(self._prev.text)
-4133
-4134            if mode:
-4135                modes.append(" ".join(mode))
-4136            if not self._match(TokenType.COMMA):
-4137                break
-4138
-4139        return self.expression(exp.Transaction, this=this, modes=modes)
+4128    def _parse_transaction(self) -> exp.Expression:
+4129        this = None
+4130        if self._match_texts(self.TRANSACTION_KIND):
+4131            this = self._prev.text
+4132
+4133        self._match_texts({"TRANSACTION", "WORK"})
+4134
+4135        modes = []
+4136        while True:
+4137            mode = []
+4138            while self._match(TokenType.VAR):
+4139                mode.append(self._prev.text)
 4140
-4141    def _parse_commit_or_rollback(self) -> exp.Expression:
-4142        chain = None
-4143        savepoint = None
-4144        is_rollback = self._prev.token_type == TokenType.ROLLBACK
+4141            if mode:
+4142                modes.append(" ".join(mode))
+4143            if not self._match(TokenType.COMMA):
+4144                break
 4145
-4146        self._match_texts({"TRANSACTION", "WORK"})
+4146        return self.expression(exp.Transaction, this=this, modes=modes)
 4147
-4148        if self._match_text_seq("TO"):
-4149            self._match_text_seq("SAVEPOINT")
-4150            savepoint = self._parse_id_var()
-4151
-4152        if self._match(TokenType.AND):
-4153            chain = not self._match_text_seq("NO")
-4154            self._match_text_seq("CHAIN")
-4155
-4156        if is_rollback:
-4157            return self.expression(exp.Rollback, savepoint=savepoint)
-4158        return self.expression(exp.Commit, chain=chain)
-4159
-4160    def _parse_add_column(self) -> t.Optional[exp.Expression]:
-4161        if not self._match_text_seq("ADD"):
-4162            return None
-4163
-4164        self._match(TokenType.COLUMN)
-4165        exists_column = self._parse_exists(not_=True)
-4166        expression = self._parse_column_def(self._parse_field(any_token=True))
-4167
-4168        if expression:
-4169            expression.set("exists", exists_column)
+4148    def _parse_commit_or_rollback(self) -> exp.Expression:
+4149        chain = None
+4150        savepoint = None
+4151        is_rollback = self._prev.token_type == TokenType.ROLLBACK
+4152
+4153        self._match_texts({"TRANSACTION", "WORK"})
+4154
+4155        if self._match_text_seq("TO"):
+4156            self._match_text_seq("SAVEPOINT")
+4157            savepoint = self._parse_id_var()
+4158
+4159        if self._match(TokenType.AND):
+4160            chain = not self._match_text_seq("NO")
+4161            self._match_text_seq("CHAIN")
+4162
+4163        if is_rollback:
+4164            return self.expression(exp.Rollback, savepoint=savepoint)
+4165        return self.expression(exp.Commit, chain=chain)
+4166
+4167    def _parse_add_column(self) -> t.Optional[exp.Expression]:
+4168        if not self._match_text_seq("ADD"):
+4169            return None
 4170
-4171            # https://docs.databricks.com/delta/update-schema.html#explicitly-update-schema-to-add-columns
-4172            if self._match_texts(("FIRST", "AFTER")):
-4173                position = self._prev.text
-4174                column_position = self.expression(
-4175                    exp.ColumnPosition, this=self._parse_column(), position=position
-4176                )
-4177                expression.set("position", column_position)
-4178
-4179        return expression
-4180
-4181    def _parse_drop_column(self) -> t.Optional[exp.Expression]:
-4182        drop = self._match(TokenType.DROP) and self._parse_drop()
-4183        if drop and not isinstance(drop, exp.Command):
-4184            drop.set("kind", drop.args.get("kind", "COLUMN"))
-4185        return drop
-4186
-4187    # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html
-4188    def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression:
-4189        return self.expression(
-4190            exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists
-4191        )
-4192
-4193    def _parse_add_constraint(self) -> t.Optional[exp.Expression]:
-4194        this = None
-4195        kind = self._prev.token_type
-4196
-4197        if kind == TokenType.CONSTRAINT:
-4198            this = self._parse_id_var()
+4171        self._match(TokenType.COLUMN)
+4172        exists_column = self._parse_exists(not_=True)
+4173        expression = self._parse_column_def(self._parse_field(any_token=True))
+4174
+4175        if expression:
+4176            expression.set("exists", exists_column)
+4177
+4178            # https://docs.databricks.com/delta/update-schema.html#explicitly-update-schema-to-add-columns
+4179            if self._match_texts(("FIRST", "AFTER")):
+4180                position = self._prev.text
+4181                column_position = self.expression(
+4182                    exp.ColumnPosition, this=self._parse_column(), position=position
+4183                )
+4184                expression.set("position", column_position)
+4185
+4186        return expression
+4187
+4188    def _parse_drop_column(self) -> t.Optional[exp.Expression]:
+4189        drop = self._match(TokenType.DROP) and self._parse_drop()
+4190        if drop and not isinstance(drop, exp.Command):
+4191            drop.set("kind", drop.args.get("kind", "COLUMN"))
+4192        return drop
+4193
+4194    # https://docs.aws.amazon.com/athena/latest/ug/alter-table-drop-partition.html
+4195    def _parse_drop_partition(self, exists: t.Optional[bool] = None) -> exp.Expression:
+4196        return self.expression(
+4197            exp.DropPartition, expressions=self._parse_csv(self._parse_partition), exists=exists
+4198        )
 4199
-4200            if self._match_text_seq("CHECK"):
-4201                expression = self._parse_wrapped(self._parse_conjunction)
-4202                enforced = self._match_text_seq("ENFORCED")
+4200    def _parse_add_constraint(self) -> t.Optional[exp.Expression]:
+4201        this = None
+4202        kind = self._prev.token_type
 4203
-4204                return self.expression(
-4205                    exp.AddConstraint, this=this, expression=expression, enforced=enforced
-4206                )
-4207
-4208        if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY):
-4209            expression = self._parse_foreign_key()
-4210        elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY):
-4211            expression = self._parse_primary_key()
-4212        else:
-4213            expression = None
+4204        if kind == TokenType.CONSTRAINT:
+4205            this = self._parse_id_var()
+4206
+4207            if self._match_text_seq("CHECK"):
+4208                expression = self._parse_wrapped(self._parse_conjunction)
+4209                enforced = self._match_text_seq("ENFORCED")
+4210
+4211                return self.expression(
+4212                    exp.AddConstraint, this=this, expression=expression, enforced=enforced
+4213                )
 4214
-4215        return self.expression(exp.AddConstraint, this=this, expression=expression)
-4216
-4217    def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]:
-4218        index = self._index - 1
-4219
-4220        if self._match_set(self.ADD_CONSTRAINT_TOKENS):
-4221            return self._parse_csv(self._parse_add_constraint)
-4222
-4223        self._retreat(index)
-4224        return self._parse_csv(self._parse_add_column)
-4225
-4226    def _parse_alter_table_alter(self) -> exp.Expression:
-4227        self._match(TokenType.COLUMN)
-4228        column = self._parse_field(any_token=True)
+4215        if kind == TokenType.FOREIGN_KEY or self._match(TokenType.FOREIGN_KEY):
+4216            expression = self._parse_foreign_key()
+4217        elif kind == TokenType.PRIMARY_KEY or self._match(TokenType.PRIMARY_KEY):
+4218            expression = self._parse_primary_key()
+4219        else:
+4220            expression = None
+4221
+4222        return self.expression(exp.AddConstraint, this=this, expression=expression)
+4223
+4224    def _parse_alter_table_add(self) -> t.List[t.Optional[exp.Expression]]:
+4225        index = self._index - 1
+4226
+4227        if self._match_set(self.ADD_CONSTRAINT_TOKENS):
+4228            return self._parse_csv(self._parse_add_constraint)
 4229
-4230        if self._match_pair(TokenType.DROP, TokenType.DEFAULT):
-4231            return self.expression(exp.AlterColumn, this=column, drop=True)
-4232        if self._match_pair(TokenType.SET, TokenType.DEFAULT):
-4233            return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction())
-4234
-4235        self._match_text_seq("SET", "DATA")
-4236        return self.expression(
-4237            exp.AlterColumn,
-4238            this=column,
-4239            dtype=self._match_text_seq("TYPE") and self._parse_types(),
-4240            collate=self._match(TokenType.COLLATE) and self._parse_term(),
-4241            using=self._match(TokenType.USING) and self._parse_conjunction(),
-4242        )
-4243
-4244    def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]:
-4245        index = self._index - 1
-4246
-4247        partition_exists = self._parse_exists()
-4248        if self._match(TokenType.PARTITION, advance=False):
-4249            return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists))
+4230        self._retreat(index)
+4231        return self._parse_csv(self._parse_add_column)
+4232
+4233    def _parse_alter_table_alter(self) -> exp.Expression:
+4234        self._match(TokenType.COLUMN)
+4235        column = self._parse_field(any_token=True)
+4236
+4237        if self._match_pair(TokenType.DROP, TokenType.DEFAULT):
+4238            return self.expression(exp.AlterColumn, this=column, drop=True)
+4239        if self._match_pair(TokenType.SET, TokenType.DEFAULT):
+4240            return self.expression(exp.AlterColumn, this=column, default=self._parse_conjunction())
+4241
+4242        self._match_text_seq("SET", "DATA")
+4243        return self.expression(
+4244            exp.AlterColumn,
+4245            this=column,
+4246            dtype=self._match_text_seq("TYPE") and self._parse_types(),
+4247            collate=self._match(TokenType.COLLATE) and self._parse_term(),
+4248            using=self._match(TokenType.USING) and self._parse_conjunction(),
+4249        )
 4250
-4251        self._retreat(index)
-4252        return self._parse_csv(self._parse_drop_column)
+4251    def _parse_alter_table_drop(self) -> t.List[t.Optional[exp.Expression]]:
+4252        index = self._index - 1
 4253
-4254    def _parse_alter_table_rename(self) -> exp.Expression:
-4255        self._match_text_seq("TO")
-4256        return self.expression(exp.RenameTable, this=self._parse_table(schema=True))
+4254        partition_exists = self._parse_exists()
+4255        if self._match(TokenType.PARTITION, advance=False):
+4256            return self._parse_csv(lambda: self._parse_drop_partition(exists=partition_exists))
 4257
-4258    def _parse_alter(self) -> t.Optional[exp.Expression]:
-4259        start = self._prev
+4258        self._retreat(index)
+4259        return self._parse_csv(self._parse_drop_column)
 4260
-4261        if not self._match(TokenType.TABLE):
-4262            return self._parse_as_command(start)
-4263
-4264        exists = self._parse_exists()
-4265        this = self._parse_table(schema=True)
-4266
-4267        if self._next:
-4268            self._advance()
-4269        parser = self.ALTER_PARSERS.get(self._prev.text.upper()) if self._prev else None
+4261    def _parse_alter_table_rename(self) -> exp.Expression:
+4262        self._match_text_seq("TO")
+4263        return self.expression(exp.RenameTable, this=self._parse_table(schema=True))
+4264
+4265    def _parse_alter(self) -> t.Optional[exp.Expression]:
+4266        start = self._prev
+4267
+4268        if not self._match(TokenType.TABLE):
+4269            return self._parse_as_command(start)
 4270
-4271        if parser:
-4272            actions = ensure_list(parser(self))
+4271        exists = self._parse_exists()
+4272        this = self._parse_table(schema=True)
 4273
-4274            if not self._curr:
-4275                return self.expression(
-4276                    exp.AlterTable,
-4277                    this=this,
-4278                    exists=exists,
-4279                    actions=actions,
-4280                )
-4281        return self._parse_as_command(start)
-4282
-4283    def _parse_merge(self) -> exp.Expression:
-4284        self._match(TokenType.INTO)
-4285        target = self._parse_table()
-4286
-4287        self._match(TokenType.USING)
-4288        using = self._parse_table()
+4274        if self._next:
+4275            self._advance()
+4276        parser = self.ALTER_PARSERS.get(self._prev.text.upper()) if self._prev else None
+4277
+4278        if parser:
+4279            actions = ensure_list(parser(self))
+4280
+4281            if not self._curr:
+4282                return self.expression(
+4283                    exp.AlterTable,
+4284                    this=this,
+4285                    exists=exists,
+4286                    actions=actions,
+4287                )
+4288        return self._parse_as_command(start)
 4289
-4290        self._match(TokenType.ON)
-4291        on = self._parse_conjunction()
-4292
-4293        whens = []
-4294        while self._match(TokenType.WHEN):
-4295            matched = not self._match(TokenType.NOT)
-4296            self._match_text_seq("MATCHED")
-4297            source = (
-4298                False
-4299                if self._match_text_seq("BY", "TARGET")
-4300                else self._match_text_seq("BY", "SOURCE")
-4301            )
-4302            condition = self._parse_conjunction() if self._match(TokenType.AND) else None
-4303
-4304            self._match(TokenType.THEN)
-4305
-4306            if self._match(TokenType.INSERT):
-4307                _this = self._parse_star()
-4308                if _this:
-4309                    then: t.Optional[exp.Expression] = self.expression(exp.Insert, this=_this)
-4310                else:
-4311                    then = self.expression(
-4312                        exp.Insert,
-4313                        this=self._parse_value(),
-4314                        expression=self._match(TokenType.VALUES) and self._parse_value(),
-4315                    )
-4316            elif self._match(TokenType.UPDATE):
-4317                expressions = self._parse_star()
-4318                if expressions:
-4319                    then = self.expression(exp.Update, expressions=expressions)
-4320                else:
-4321                    then = self.expression(
-4322                        exp.Update,
-4323                        expressions=self._match(TokenType.SET)
-4324                        and self._parse_csv(self._parse_equality),
-4325                    )
-4326            elif self._match(TokenType.DELETE):
-4327                then = self.expression(exp.Var, this=self._prev.text)
-4328            else:
-4329                then = None
-4330
-4331            whens.append(
-4332                self.expression(
-4333                    exp.When,
-4334                    matched=matched,
-4335                    source=source,
-4336                    condition=condition,
-4337                    then=then,
-4338                )
-4339            )
-4340
-4341        return self.expression(
-4342            exp.Merge,
-4343            this=target,
-4344            using=using,
-4345            on=on,
-4346            expressions=whens,
-4347        )
-4348
-4349    def _parse_show(self) -> t.Optional[exp.Expression]:
-4350        parser = self._find_parser(self.SHOW_PARSERS, self._show_trie)  # type: ignore
-4351        if parser:
-4352            return parser(self)
-4353        self._advance()
-4354        return self.expression(exp.Show, this=self._prev.text.upper())
+4290    def _parse_merge(self) -> exp.Expression:
+4291        self._match(TokenType.INTO)
+4292        target = self._parse_table()
+4293
+4294        self._match(TokenType.USING)
+4295        using = self._parse_table()
+4296
+4297        self._match(TokenType.ON)
+4298        on = self._parse_conjunction()
+4299
+4300        whens = []
+4301        while self._match(TokenType.WHEN):
+4302            matched = not self._match(TokenType.NOT)
+4303            self._match_text_seq("MATCHED")
+4304            source = (
+4305                False
+4306                if self._match_text_seq("BY", "TARGET")
+4307                else self._match_text_seq("BY", "SOURCE")
+4308            )
+4309            condition = self._parse_conjunction() if self._match(TokenType.AND) else None
+4310
+4311            self._match(TokenType.THEN)
+4312
+4313            if self._match(TokenType.INSERT):
+4314                _this = self._parse_star()
+4315                if _this:
+4316                    then: t.Optional[exp.Expression] = self.expression(exp.Insert, this=_this)
+4317                else:
+4318                    then = self.expression(
+4319                        exp.Insert,
+4320                        this=self._parse_value(),
+4321                        expression=self._match(TokenType.VALUES) and self._parse_value(),
+4322                    )
+4323            elif self._match(TokenType.UPDATE):
+4324                expressions = self._parse_star()
+4325                if expressions:
+4326                    then = self.expression(exp.Update, expressions=expressions)
+4327                else:
+4328                    then = self.expression(
+4329                        exp.Update,
+4330                        expressions=self._match(TokenType.SET)
+4331                        and self._parse_csv(self._parse_equality),
+4332                    )
+4333            elif self._match(TokenType.DELETE):
+4334                then = self.expression(exp.Var, this=self._prev.text)
+4335            else:
+4336                then = None
+4337
+4338            whens.append(
+4339                self.expression(
+4340                    exp.When,
+4341                    matched=matched,
+4342                    source=source,
+4343                    condition=condition,
+4344                    then=then,
+4345                )
+4346            )
+4347
+4348        return self.expression(
+4349            exp.Merge,
+4350            this=target,
+4351            using=using,
+4352            on=on,
+4353            expressions=whens,
+4354        )
 4355
-4356    def _parse_set_item_assignment(
-4357        self, kind: t.Optional[str] = None
-4358    ) -> t.Optional[exp.Expression]:
-4359        index = self._index
-4360
-4361        if kind in {"GLOBAL", "SESSION"} and self._match_text_seq("TRANSACTION"):
-4362            return self._parse_set_transaction(global_=kind == "GLOBAL")
-4363
-4364        left = self._parse_primary() or self._parse_id_var()
-4365
-4366        if not self._match_texts(("=", "TO")):
-4367            self._retreat(index)
-4368            return None
-4369
-4370        right = self._parse_statement() or self._parse_id_var()
-4371        this = self.expression(
-4372            exp.EQ,
-4373            this=left,
-4374            expression=right,
-4375        )
+4356    def _parse_show(self) -> t.Optional[exp.Expression]:
+4357        parser = self._find_parser(self.SHOW_PARSERS, self._show_trie)  # type: ignore
+4358        if parser:
+4359            return parser(self)
+4360        self._advance()
+4361        return self.expression(exp.Show, this=self._prev.text.upper())
+4362
+4363    def _parse_set_item_assignment(
+4364        self, kind: t.Optional[str] = None
+4365    ) -> t.Optional[exp.Expression]:
+4366        index = self._index
+4367
+4368        if kind in {"GLOBAL", "SESSION"} and self._match_text_seq("TRANSACTION"):
+4369            return self._parse_set_transaction(global_=kind == "GLOBAL")
+4370
+4371        left = self._parse_primary() or self._parse_id_var()
+4372
+4373        if not self._match_texts(("=", "TO")):
+4374            self._retreat(index)
+4375            return None
 4376
-4377        return self.expression(
-4378            exp.SetItem,
-4379            this=this,
-4380            kind=kind,
-4381        )
-4382
-4383    def _parse_set_transaction(self, global_: bool = False) -> exp.Expression:
-4384        self._match_text_seq("TRANSACTION")
-4385        characteristics = self._parse_csv(
-4386            lambda: self._parse_var_from_options(self.TRANSACTION_CHARACTERISTICS)
-4387        )
-4388        return self.expression(
-4389            exp.SetItem,
-4390            expressions=characteristics,
-4391            kind="TRANSACTION",
-4392            **{"global": global_},  # type: ignore
-4393        )
-4394
-4395    def _parse_set_item(self) -> t.Optional[exp.Expression]:
-4396        parser = self._find_parser(self.SET_PARSERS, self._set_trie)  # type: ignore
-4397        return parser(self) if parser else self._parse_set_item_assignment(kind=None)
-4398
-4399    def _parse_set(self) -> exp.Expression:
-4400        index = self._index
-4401        set_ = self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item))
-4402
-4403        if self._curr:
-4404            self._retreat(index)
-4405            return self._parse_as_command(self._prev)
-4406
-4407        return set_
-4408
-4409    def _parse_var_from_options(self, options: t.Collection[str]) -> t.Optional[exp.Expression]:
-4410        for option in options:
-4411            if self._match_text_seq(*option.split(" ")):
-4412                return exp.Var(this=option)
-4413        return None
-4414
-4415    def _parse_as_command(self, start: Token) -> exp.Command:
-4416        while self._curr:
-4417            self._advance()
-4418        text = self._find_sql(start, self._prev)
-4419        size = len(start.text)
-4420        return exp.Command(this=text[:size], expression=text[size:])
+4377        right = self._parse_statement() or self._parse_id_var()
+4378        this = self.expression(
+4379            exp.EQ,
+4380            this=left,
+4381            expression=right,
+4382        )
+4383
+4384        return self.expression(
+4385            exp.SetItem,
+4386            this=this,
+4387            kind=kind,
+4388        )
+4389
+4390    def _parse_set_transaction(self, global_: bool = False) -> exp.Expression:
+4391        self._match_text_seq("TRANSACTION")
+4392        characteristics = self._parse_csv(
+4393            lambda: self._parse_var_from_options(self.TRANSACTION_CHARACTERISTICS)
+4394        )
+4395        return self.expression(
+4396            exp.SetItem,
+4397            expressions=characteristics,
+4398            kind="TRANSACTION",
+4399            **{"global": global_},  # type: ignore
+4400        )
+4401
+4402    def _parse_set_item(self) -> t.Optional[exp.Expression]:
+4403        parser = self._find_parser(self.SET_PARSERS, self._set_trie)  # type: ignore
+4404        return parser(self) if parser else self._parse_set_item_assignment(kind=None)
+4405
+4406    def _parse_set(self) -> exp.Expression:
+4407        index = self._index
+4408        set_ = self.expression(exp.Set, expressions=self._parse_csv(self._parse_set_item))
+4409
+4410        if self._curr:
+4411            self._retreat(index)
+4412            return self._parse_as_command(self._prev)
+4413
+4414        return set_
+4415
+4416    def _parse_var_from_options(self, options: t.Collection[str]) -> t.Optional[exp.Expression]:
+4417        for option in options:
+4418            if self._match_text_seq(*option.split(" ")):
+4419                return exp.Var(this=option)
+4420        return None
 4421
-4422    def _find_parser(
-4423        self, parsers: t.Dict[str, t.Callable], trie: t.Dict
-4424    ) -> t.Optional[t.Callable]:
-4425        if not self._curr:
-4426            return None
-4427
-4428        index = self._index
-4429        this = []
-4430        while True:
-4431            # The current token might be multiple words
-4432            curr = self._curr.text.upper()
-4433            key = curr.split(" ")
-4434            this.append(curr)
-4435            self._advance()
-4436            result, trie = in_trie(trie, key)
-4437            if result == 0:
-4438                break
-4439            if result == 2:
-4440                subparser = parsers[" ".join(this)]
-4441                return subparser
-4442        self._retreat(index)
-4443        return None
-4444
-4445    def _match(self, token_type, advance=True, expression=None):
-4446        if not self._curr:
-4447            return None
-4448
-4449        if self._curr.token_type == token_type:
-4450            if advance:
-4451                self._advance()
-4452            self._add_comments(expression)
-4453            return True
-4454
-4455        return None
-4456
-4457    def _match_set(self, types, advance=True):
-4458        if not self._curr:
-4459            return None
-4460
-4461        if self._curr.token_type in types:
-4462            if advance:
-4463                self._advance()
-4464            return True
-4465
-4466        return None
+4422    def _parse_as_command(self, start: Token) -> exp.Command:
+4423        while self._curr:
+4424            self._advance()
+4425        text = self._find_sql(start, self._prev)
+4426        size = len(start.text)
+4427        return exp.Command(this=text[:size], expression=text[size:])
+4428
+4429    def _find_parser(
+4430        self, parsers: t.Dict[str, t.Callable], trie: t.Dict
+4431    ) -> t.Optional[t.Callable]:
+4432        if not self._curr:
+4433            return None
+4434
+4435        index = self._index
+4436        this = []
+4437        while True:
+4438            # The current token might be multiple words
+4439            curr = self._curr.text.upper()
+4440            key = curr.split(" ")
+4441            this.append(curr)
+4442            self._advance()
+4443            result, trie = in_trie(trie, key)
+4444            if result == 0:
+4445                break
+4446            if result == 2:
+4447                subparser = parsers[" ".join(this)]
+4448                return subparser
+4449        self._retreat(index)
+4450        return None
+4451
+4452    def _match(self, token_type, advance=True, expression=None):
+4453        if not self._curr:
+4454            return None
+4455
+4456        if self._curr.token_type == token_type:
+4457            if advance:
+4458                self._advance()
+4459            self._add_comments(expression)
+4460            return True
+4461
+4462        return None
+4463
+4464    def _match_set(self, types, advance=True):
+4465        if not self._curr:
+4466            return None
 4467
-4468    def _match_pair(self, token_type_a, token_type_b, advance=True):
-4469        if not self._curr or not self._next:
-4470            return None
-4471
-4472        if self._curr.token_type == token_type_a and self._next.token_type == token_type_b:
-4473            if advance:
-4474                self._advance(2)
-4475            return True
-4476
-4477        return None
+4468        if self._curr.token_type in types:
+4469            if advance:
+4470                self._advance()
+4471            return True
+4472
+4473        return None
+4474
+4475    def _match_pair(self, token_type_a, token_type_b, advance=True):
+4476        if not self._curr or not self._next:
+4477            return None
 4478
-4479    def _match_l_paren(self, expression=None):
-4480        if not self._match(TokenType.L_PAREN, expression=expression):
-4481            self.raise_error("Expecting (")
-4482
-4483    def _match_r_paren(self, expression=None):
-4484        if not self._match(TokenType.R_PAREN, expression=expression):
-4485            self.raise_error("Expecting )")
-4486
-4487    def _match_texts(self, texts, advance=True):
-4488        if self._curr and self._curr.text.upper() in texts:
-4489            if advance:
-4490                self._advance()
-4491            return True
-4492        return False
+4479        if self._curr.token_type == token_type_a and self._next.token_type == token_type_b:
+4480            if advance:
+4481                self._advance(2)
+4482            return True
+4483
+4484        return None
+4485
+4486    def _match_l_paren(self, expression: t.Optional[exp.Expression] = None) -> None:
+4487        if not self._match(TokenType.L_PAREN, expression=expression):
+4488            self.raise_error("Expecting (")
+4489
+4490    def _match_r_paren(self, expression: t.Optional[exp.Expression] = None) -> None:
+4491        if not self._match(TokenType.R_PAREN, expression=expression):
+4492            self.raise_error("Expecting )")
 4493
-4494    def _match_text_seq(self, *texts, advance=True):
-4495        index = self._index
-4496        for text in texts:
-4497            if self._curr and self._curr.text.upper() == text:
-4498                self._advance()
-4499            else:
-4500                self._retreat(index)
-4501                return False
-4502
-4503        if not advance:
-4504            self._retreat(index)
-4505
-4506        return True
-4507
-4508    def _replace_columns_with_dots(self, this):
-4509        if isinstance(this, exp.Dot):
-4510            exp.replace_children(this, self._replace_columns_with_dots)
-4511        elif isinstance(this, exp.Column):
-4512            exp.replace_children(this, self._replace_columns_with_dots)
-4513            table = this.args.get("table")
-4514            this = (
-4515                self.expression(exp.Dot, this=table, expression=this.this)
-4516                if table
-4517                else self.expression(exp.Var, this=this.name)
-4518            )
-4519        elif isinstance(this, exp.Identifier):
-4520            this = self.expression(exp.Var, this=this.name)
-4521        return this
-4522
-4523    def _replace_lambda(self, node, lambda_variables):
-4524        for column in node.find_all(exp.Column):
-4525            if column.parts[0].name in lambda_variables:
-4526                dot_or_id = column.to_dot() if column.table else column.this
-4527                parent = column.parent
-4528
-4529                while isinstance(parent, exp.Dot):
-4530                    if not isinstance(parent.parent, exp.Dot):
-4531                        parent.replace(dot_or_id)
-4532                        break
-4533                    parent = parent.parent
-4534                else:
-4535                    if column is node:
-4536                        node = dot_or_id
-4537                    else:
-4538                        column.replace(dot_or_id)
-4539        return node
+4494    def _match_texts(self, texts, advance=True):
+4495        if self._curr and self._curr.text.upper() in texts:
+4496            if advance:
+4497                self._advance()
+4498            return True
+4499        return False
+4500
+4501    def _match_text_seq(self, *texts, advance=True):
+4502        index = self._index
+4503        for text in texts:
+4504            if self._curr and self._curr.text.upper() == text:
+4505                self._advance()
+4506            else:
+4507                self._retreat(index)
+4508                return False
+4509
+4510        if not advance:
+4511            self._retreat(index)
+4512
+4513        return True
+4514
+4515    def _replace_columns_with_dots(
+4516        self, this: t.Optional[exp.Expression]
+4517    ) -> t.Optional[exp.Expression]:
+4518        if isinstance(this, exp.Dot):
+4519            exp.replace_children(this, self._replace_columns_with_dots)
+4520        elif isinstance(this, exp.Column):
+4521            exp.replace_children(this, self._replace_columns_with_dots)
+4522            table = this.args.get("table")
+4523            this = (
+4524                self.expression(exp.Dot, this=table, expression=this.this)
+4525                if table
+4526                else self.expression(exp.Var, this=this.name)
+4527            )
+4528        elif isinstance(this, exp.Identifier):
+4529            this = self.expression(exp.Var, this=this.name)
+4530
+4531        return this
+4532
+4533    def _replace_lambda(
+4534        self, node: t.Optional[exp.Expression], lambda_variables: t.Set[str]
+4535    ) -> t.Optional[exp.Expression]:
+4536        if not node:
+4537            return node
+4538
+4539        for column in node.find_all(exp.Column):
+4540            if column.parts[0].name in lambda_variables:
+4541                dot_or_id = column.to_dot() if column.table else column.this
+4542                parent = column.parent
+4543
+4544                while isinstance(parent, exp.Dot):
+4545                    if not isinstance(parent.parent, exp.Dot):
+4546                        parent.replace(dot_or_id)
+4547                        break
+4548                    parent = parent.parent
+4549                else:
+4550                    if column is node:
+4551                        node = dot_or_id
+4552                    else:
+4553                        column.replace(dot_or_id)
+4554        return node
 
    
 
 
@@ -9240,24 +9269,24 @@ 
    Arguments:
    
 
     
    
     
-            
    775    def __init__(
-776        self,
-777        error_level: t.Optional[ErrorLevel] = None,
-778        error_message_context: int = 100,
-779        index_offset: int = 0,
-780        unnest_column_only: bool = False,
-781        alias_post_tablesample: bool = False,
-782        max_errors: int = 3,
-783        null_ordering: t.Optional[str] = None,
-784    ):
-785        self.error_level = error_level or ErrorLevel.IMMEDIATE
-786        self.error_message_context = error_message_context
-787        self.index_offset = index_offset
-788        self.unnest_column_only = unnest_column_only
-789        self.alias_post_tablesample = alias_post_tablesample
-790        self.max_errors = max_errors
-791        self.null_ordering = null_ordering
-792        self.reset()
+            
    781    def __init__(
+782        self,
+783        error_level: t.Optional[ErrorLevel] = None,
+784        error_message_context: int = 100,
+785        index_offset: int = 0,
+786        unnest_column_only: bool = False,
+787        alias_post_tablesample: bool = False,
+788        max_errors: int = 3,
+789        null_ordering: t.Optional[str] = None,
+790    ):
+791        self.error_level = error_level or ErrorLevel.IMMEDIATE
+792        self.error_message_context = error_message_context
+793        self.index_offset = index_offset
+794        self.unnest_column_only = unnest_column_only
+795        self.alias_post_tablesample = alias_post_tablesample
+796        self.max_errors = max_errors
+797        self.null_ordering = null_ordering
+798        self.reset()
 
    
 
 
@@ -9275,15 +9304,15 @@ 
    Arguments:
    
 
     
    
     
-            
    794    def reset(self):
-795        self.sql = ""
-796        self.errors = []
-797        self._tokens = []
-798        self._index = 0
-799        self._curr = None
-800        self._next = None
-801        self._prev = None
-802        self._prev_comments = None
+            
    800    def reset(self):
+801        self.sql = ""
+802        self.errors = []
+803        self._tokens = []
+804        self._index = 0
+805        self._curr = None
+806        self._next = None
+807        self._prev = None
+808        self._prev_comments = None
 
    
 
 
@@ -9301,23 +9330,23 @@ 
    Arguments:
    
 
     
    
     
-            
    804    def parse(
-805        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
-806    ) -> t.List[t.Optional[exp.Expression]]:
-807        """
-808        Parses a list of tokens and returns a list of syntax trees, one tree
-809        per parsed SQL statement.
-810
-811        Args:
-812            raw_tokens: the list of tokens.
-813            sql: the original SQL string, used to produce helpful debug messages.
-814
-815        Returns:
-816            The list of syntax trees.
-817        """
-818        return self._parse(
-819            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
-820        )
+            
    810    def parse(
+811        self, raw_tokens: t.List[Token], sql: t.Optional[str] = None
+812    ) -> t.List[t.Optional[exp.Expression]]:
+813        """
+814        Parses a list of tokens and returns a list of syntax trees, one tree
+815        per parsed SQL statement.
+816
+817        Args:
+818            raw_tokens: the list of tokens.
+819            sql: the original SQL string, used to produce helpful debug messages.
+820
+821        Returns:
+822            The list of syntax trees.
+823        """
+824        return self._parse(
+825            parse_method=self.__class__._parse_statement, raw_tokens=raw_tokens, sql=sql
+826        )
 
    
 
 
@@ -9351,39 +9380,39 @@ 
    Returns:
    
 
     
    
     
-            
    822    def parse_into(
-823        self,
-824        expression_types: exp.IntoType,
-825        raw_tokens: t.List[Token],
-826        sql: t.Optional[str] = None,
-827    ) -> t.List[t.Optional[exp.Expression]]:
-828        """
-829        Parses a list of tokens into a given Expression type. If a collection of Expression
-830        types is given instead, this method will try to parse the token list into each one
-831        of them, stopping at the first for which the parsing succeeds.
-832
-833        Args:
-834            expression_types: the expression type(s) to try and parse the token list into.
-835            raw_tokens: the list of tokens.
-836            sql: the original SQL string, used to produce helpful debug messages.
-837
-838        Returns:
-839            The target Expression.
-840        """
-841        errors = []
-842        for expression_type in ensure_collection(expression_types):
-843            parser = self.EXPRESSION_PARSERS.get(expression_type)
-844            if not parser:
-845                raise TypeError(f"No parser registered for {expression_type}")
-846            try:
-847                return self._parse(parser, raw_tokens, sql)
-848            except ParseError as e:
-849                e.errors[0]["into_expression"] = expression_type
-850                errors.append(e)
-851        raise ParseError(
-852            f"Failed to parse into {expression_types}",
-853            errors=merge_errors(errors),
-854        ) from errors[-1]
+            
    828    def parse_into(
+829        self,
+830        expression_types: exp.IntoType,
+831        raw_tokens: t.List[Token],
+832        sql: t.Optional[str] = None,
+833    ) -> t.List[t.Optional[exp.Expression]]:
+834        """
+835        Parses a list of tokens into a given Expression type. If a collection of Expression
+836        types is given instead, this method will try to parse the token list into each one
+837        of them, stopping at the first for which the parsing succeeds.
+838
+839        Args:
+840            expression_types: the expression type(s) to try and parse the token list into.
+841            raw_tokens: the list of tokens.
+842            sql: the original SQL string, used to produce helpful debug messages.
+843
+844        Returns:
+845            The target Expression.
+846        """
+847        errors = []
+848        for expression_type in ensure_collection(expression_types):
+849            parser = self.EXPRESSION_PARSERS.get(expression_type)
+850            if not parser:
+851                raise TypeError(f"No parser registered for {expression_type}")
+852            try:
+853                return self._parse(parser, raw_tokens, sql)
+854            except ParseError as e:
+855                e.errors[0]["into_expression"] = expression_type
+856                errors.append(e)
+857        raise ParseError(
+858            f"Failed to parse into {expression_types}",
+859            errors=merge_errors(errors),
+860        ) from errors[-1]
 
    
 
 
@@ -9419,18 +9448,18 @@ 
    Returns:
    
 
     
    
     
-            
    890    def check_errors(self) -> None:
-891        """
-892        Logs or raises any found errors, depending on the chosen error level setting.
-893        """
-894        if self.error_level == ErrorLevel.WARN:
-895            for error in self.errors:
-896                logger.error(str(error))
-897        elif self.error_level == ErrorLevel.RAISE and self.errors:
-898            raise ParseError(
-899                concat_messages(self.errors, self.max_errors),
-900                errors=merge_errors(self.errors),
-901            )
+            
    896    def check_errors(self) -> None:
+897        """
+898        Logs or raises any found errors, depending on the chosen error level setting.
+899        """
+900        if self.error_level == ErrorLevel.WARN:
+901            for error in self.errors:
+902                logger.error(str(error))
+903        elif self.error_level == ErrorLevel.RAISE and self.errors:
+904            raise ParseError(
+905                concat_messages(self.errors, self.max_errors),
+906                errors=merge_errors(self.errors),
+907            )
 
    
 
 
@@ -9450,33 +9479,33 @@ 
    Returns:
    
 
     
    
     
-            
    903    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
-904        """
-905        Appends an error in the list of recorded errors or raises it, depending on the chosen
-906        error level setting.
-907        """
-908        token = token or self._curr or self._prev or Token.string("")
-909        start = token.start
-910        end = token.end + 1
-911        start_context = self.sql[max(start - self.error_message_context, 0) : start]
-912        highlight = self.sql[start:end]
-913        end_context = self.sql[end : end + self.error_message_context]
-914
-915        error = ParseError.new(
-916            f"{message}. Line {token.line}, Col: {token.col}.\n"
-917            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
-918            description=message,
-919            line=token.line,
-920            col=token.col,
-921            start_context=start_context,
-922            highlight=highlight,
-923            end_context=end_context,
-924        )
-925
-926        if self.error_level == ErrorLevel.IMMEDIATE:
-927            raise error
-928
-929        self.errors.append(error)
+            
    909    def raise_error(self, message: str, token: t.Optional[Token] = None) -> None:
+910        """
+911        Appends an error in the list of recorded errors or raises it, depending on the chosen
+912        error level setting.
+913        """
+914        token = token or self._curr or self._prev or Token.string("")
+915        start = token.start
+916        end = token.end + 1
+917        start_context = self.sql[max(start - self.error_message_context, 0) : start]
+918        highlight = self.sql[start:end]
+919        end_context = self.sql[end : end + self.error_message_context]
+920
+921        error = ParseError.new(
+922            f"{message}. Line {token.line}, Col: {token.col}.\n"
+923            f"  {start_context}\033[4m{highlight}\033[0m{end_context}",
+924            description=message,
+925            line=token.line,
+926            col=token.col,
+927            start_context=start_context,
+928            highlight=highlight,
+929            end_context=end_context,
+930        )
+931
+932        if self.error_level == ErrorLevel.IMMEDIATE:
+933            raise error
+934
+935        self.errors.append(error)
 
    
 
 
@@ -9497,24 +9526,24 @@ 
    Returns:
    
 
     
    
     
-            
    931    def expression(
-932        self, exp_class: t.Type[E], comments: t.Optional[t.List[str]] = None, **kwargs
-933    ) -> E:
-934        """
-935        Creates a new, validated Expression.
-936
-937        Args:
-938            exp_class: the expression class to instantiate.
-939            comments: an optional list of comments to attach to the expression.
-940            kwargs: the arguments to set for the expression along with their respective values.
-941
-942        Returns:
-943            The target expression.
-944        """
-945        instance = exp_class(**kwargs)
-946        instance.add_comments(comments) if comments else self._add_comments(instance)
-947        self.validate_expression(instance)
-948        return instance
+            
    937    def expression(
+938        self, exp_class: t.Type[E], comments: t.Optional[t.List[str]] = None, **kwargs
+939    ) -> E:
+940        """
+941        Creates a new, validated Expression.
+942
+943        Args:
+944            exp_class: the expression class to instantiate.
+945            comments: an optional list of comments to attach to the expression.
+946            kwargs: the arguments to set for the expression along with their respective values.
+947
+948        Returns:
+949            The target expression.
+950        """
+951        instance = exp_class(**kwargs)
+952        instance.add_comments(comments) if comments else self._add_comments(instance)
+953        self.validate_expression(instance)
+954        return instance
 
    
 
 
@@ -9548,22 +9577,22 @@ 
    Returns:
    
 
     
    
     
-            
    955    def validate_expression(
-956        self, expression: exp.Expression, args: t.Optional[t.List] = None
-957    ) -> None:
-958        """
-959        Validates an already instantiated expression, making sure that all its mandatory arguments
-960        are set.
-961
-962        Args:
-963            expression: the expression to validate.
-964            args: an optional list of items that was used to instantiate the expression, if it's a Func.
-965        """
-966        if self.error_level == ErrorLevel.IGNORE:
-967            return
-968
-969        for error_message in expression.error_messages(args):
-970            self.raise_error(error_message)
+            
    961    def validate_expression(
+962        self, expression: exp.Expression, args: t.Optional[t.List] = None
+963    ) -> None:
+964        """
+965        Validates an already instantiated expression, making sure that all its mandatory arguments
+966        are set.
+967
+968        Args:
+969            expression: the expression to validate.
+970            args: an optional list of items that was used to instantiate the expression, if it's a Func.
+971        """
+972        if self.error_level == ErrorLevel.IGNORE:
+973            return
+974
+975        for error_message in expression.error_messages(args):
+976            self.raise_error(error_message)
 
    
 
 
diff --git a/docs/sqlglot/planner.html b/docs/sqlglot/planner.html
index 0b50f3e1ed..d134e38c2c 100644
--- a/docs/sqlglot/planner.html
+++ b/docs/sqlglot/planner.html
@@ -424,7 +424,7 @@ 
    
 303        for join in joins:
 304            source_key, join_key, condition = join_condition(join)
 305            step.joins[join.this.alias_or_name] = {
-306                "side": join.side,
+306                "side": join.side,  # type: ignore
 307                "join_key": join_key,
 308                "source_key": source_key,
 309                "condition": condition,
@@ -1317,7 +1317,7 @@ 
    Inherited Members
    
     304        for join in joins:
 305            source_key, join_key, condition = join_condition(join)
 306            step.joins[join.this.alias_or_name] = {
-307                "side": join.side,
+307                "side": join.side,  # type: ignore
 308                "join_key": join_key,
 309                "source_key": source_key,
 310                "condition": condition,
@@ -1364,7 +1364,7 @@ 
    Inherited Members
    
     304        for join in joins:
 305            source_key, join_key, condition = join_condition(join)
 306            step.joins[join.this.alias_or_name] = {
-307                "side": join.side,
+307                "side": join.side,  # type: ignore
 308                "join_key": join_key,
 309                "source_key": source_key,
 310                "condition": condition,
diff --git a/docs/sqlglot/schema.html b/docs/sqlglot/schema.html
index 1ce4510c65..50f86bfdea 100644
--- a/docs/sqlglot/schema.html
+++ b/docs/sqlglot/schema.html
@@ -138,476 +138,475 @@ 
    
   5
   6import sqlglot
   7from sqlglot import expressions as exp
-  8from sqlglot.errors import ParseError, SchemaError
-  9from sqlglot.helper import dict_depth
- 10from sqlglot.trie import in_trie, new_trie
- 11
- 12if t.TYPE_CHECKING:
- 13    from sqlglot.dataframe.sql.types import StructType
- 14    from sqlglot.dialects.dialect import DialectType
- 15
- 16    ColumnMapping = t.Union[t.Dict, str, StructType, t.List]
- 17
- 18TABLE_ARGS = ("this", "db", "catalog")
- 19
- 20T = t.TypeVar("T")
+  8from sqlglot._typing import T
+  9from sqlglot.errors import ParseError, SchemaError
+ 10from sqlglot.helper import dict_depth
+ 11from sqlglot.trie import in_trie, new_trie
+ 12
+ 13if t.TYPE_CHECKING:
+ 14    from sqlglot.dataframe.sql.types import StructType
+ 15    from sqlglot.dialects.dialect import DialectType
+ 16
+ 17    ColumnMapping = t.Union[t.Dict, str, StructType, t.List]
+ 18
+ 19TABLE_ARGS = ("this", "db", "catalog")
+ 20
  21
- 22
- 23class Schema(abc.ABC):
- 24    """Abstract base class for database schemas"""
- 25
- 26    @abc.abstractmethod
- 27    def add_table(
- 28        self,
- 29        table: exp.Table | str,
- 30        column_mapping: t.Optional[ColumnMapping] = None,
- 31        dialect: DialectType = None,
- 32    ) -> None:
- 33        """
- 34        Register or update a table. Some implementing classes may require column information to also be provided.
- 35
- 36        Args:
- 37            table: the `Table` expression instance or string representing the table.
- 38            column_mapping: a column mapping that describes the structure of the table.
- 39            dialect: the SQL dialect that will be used to parse `table` if it's a string.
- 40        """
- 41
- 42    @abc.abstractmethod
- 43    def column_names(
- 44        self,
- 45        table: exp.Table | str,
- 46        only_visible: bool = False,
- 47        dialect: DialectType = None,
- 48    ) -> t.List[str]:
- 49        """
- 50        Get the column names for a table.
- 51
- 52        Args:
- 53            table: the `Table` expression instance.
- 54            only_visible: whether to include invisible columns.
- 55            dialect: the SQL dialect that will be used to parse `table` if it's a string.
- 56
- 57        Returns:
- 58            The list of column names.
- 59        """
- 60
- 61    @abc.abstractmethod
- 62    def get_column_type(
- 63        self,
- 64        table: exp.Table | str,
- 65        column: exp.Column,
- 66        dialect: DialectType = None,
- 67    ) -> exp.DataType:
- 68        """
- 69        Get the `sqlglot.exp.DataType` type of a column in the schema.
- 70
- 71        Args:
- 72            table: the source table.
- 73            column: the target column.
- 74            dialect: the SQL dialect that will be used to parse `table` if it's a string.
- 75
- 76        Returns:
- 77            The resulting column type.
- 78        """
- 79
- 80    @property
- 81    @abc.abstractmethod
- 82    def supported_table_args(self) -> t.Tuple[str, ...]:
- 83        """
- 84        Table arguments this schema support, e.g. `("this", "db", "catalog")`
- 85        """
- 86
- 87    @property
- 88    def empty(self) -> bool:
- 89        """Returns whether or not the schema is empty."""
- 90        return True
+ 22class Schema(abc.ABC):
+ 23    """Abstract base class for database schemas"""
+ 24
+ 25    @abc.abstractmethod
+ 26    def add_table(
+ 27        self,
+ 28        table: exp.Table | str,
+ 29        column_mapping: t.Optional[ColumnMapping] = None,
+ 30        dialect: DialectType = None,
+ 31    ) -> None:
+ 32        """
+ 33        Register or update a table. Some implementing classes may require column information to also be provided.
+ 34
+ 35        Args:
+ 36            table: the `Table` expression instance or string representing the table.
+ 37            column_mapping: a column mapping that describes the structure of the table.
+ 38            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+ 39        """
+ 40
+ 41    @abc.abstractmethod
+ 42    def column_names(
+ 43        self,
+ 44        table: exp.Table | str,
+ 45        only_visible: bool = False,
+ 46        dialect: DialectType = None,
+ 47    ) -> t.List[str]:
+ 48        """
+ 49        Get the column names for a table.
+ 50
+ 51        Args:
+ 52            table: the `Table` expression instance.
+ 53            only_visible: whether to include invisible columns.
+ 54            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+ 55
+ 56        Returns:
+ 57            The list of column names.
+ 58        """
+ 59
+ 60    @abc.abstractmethod
+ 61    def get_column_type(
+ 62        self,
+ 63        table: exp.Table | str,
+ 64        column: exp.Column,
+ 65        dialect: DialectType = None,
+ 66    ) -> exp.DataType:
+ 67        """
+ 68        Get the `sqlglot.exp.DataType` type of a column in the schema.
+ 69
+ 70        Args:
+ 71            table: the source table.
+ 72            column: the target column.
+ 73            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+ 74
+ 75        Returns:
+ 76            The resulting column type.
+ 77        """
+ 78
+ 79    @property
+ 80    @abc.abstractmethod
+ 81    def supported_table_args(self) -> t.Tuple[str, ...]:
+ 82        """
+ 83        Table arguments this schema support, e.g. `("this", "db", "catalog")`
+ 84        """
+ 85
+ 86    @property
+ 87    def empty(self) -> bool:
+ 88        """Returns whether or not the schema is empty."""
+ 89        return True
+ 90
  91
- 92
- 93class AbstractMappingSchema(t.Generic[T]):
- 94    def __init__(
- 95        self,
- 96        mapping: t.Optional[t.Dict] = None,
- 97    ) -> None:
- 98        self.mapping = mapping or {}
- 99        self.mapping_trie = new_trie(
-100            tuple(reversed(t)) for t in flatten_schema(self.mapping, depth=self._depth())
-101        )
-102        self._supported_table_args: t.Tuple[str, ...] = tuple()
-103
-104    @property
-105    def empty(self) -> bool:
-106        return not self.mapping
-107
-108    def _depth(self) -> int:
-109        return dict_depth(self.mapping)
-110
-111    @property
-112    def supported_table_args(self) -> t.Tuple[str, ...]:
-113        if not self._supported_table_args and self.mapping:
-114            depth = self._depth()
-115
-116            if not depth:  # None
-117                self._supported_table_args = tuple()
-118            elif 1 <= depth <= 3:
-119                self._supported_table_args = TABLE_ARGS[:depth]
-120            else:
-121                raise SchemaError(f"Invalid mapping shape. Depth: {depth}")
-122
-123        return self._supported_table_args
-124
-125    def table_parts(self, table: exp.Table) -> t.List[str]:
-126        if isinstance(table.this, exp.ReadCSV):
-127            return [table.this.name]
-128        return [table.text(part) for part in TABLE_ARGS if table.text(part)]
-129
-130    def find(
-131        self, table: exp.Table, trie: t.Optional[t.Dict] = None, raise_on_missing: bool = True
-132    ) -> t.Optional[T]:
-133        parts = self.table_parts(table)[0 : len(self.supported_table_args)]
-134        value, trie = in_trie(self.mapping_trie if trie is None else trie, parts)
-135
-136        if value == 0:
-137            return None
-138
-139        if value == 1:
-140            possibilities = flatten_schema(trie, depth=dict_depth(trie) - 1)
-141
-142            if len(possibilities) == 1:
-143                parts.extend(possibilities[0])
-144            else:
-145                message = ", ".join(".".join(parts) for parts in possibilities)
-146                if raise_on_missing:
-147                    raise SchemaError(f"Ambiguous mapping for {table}: {message}.")
-148                return None
-149
-150        return self.nested_get(parts, raise_on_missing=raise_on_missing)
-151
-152    def nested_get(
-153        self, parts: t.Sequence[str], d: t.Optional[t.Dict] = None, raise_on_missing=True
-154    ) -> t.Optional[t.Any]:
-155        return nested_get(
-156            d or self.mapping,
-157            *zip(self.supported_table_args, reversed(parts)),
-158            raise_on_missing=raise_on_missing,
-159        )
+ 92class AbstractMappingSchema(t.Generic[T]):
+ 93    def __init__(
+ 94        self,
+ 95        mapping: t.Optional[t.Dict] = None,
+ 96    ) -> None:
+ 97        self.mapping = mapping or {}
+ 98        self.mapping_trie = new_trie(
+ 99            tuple(reversed(t)) for t in flatten_schema(self.mapping, depth=self._depth())
+100        )
+101        self._supported_table_args: t.Tuple[str, ...] = tuple()
+102
+103    @property
+104    def empty(self) -> bool:
+105        return not self.mapping
+106
+107    def _depth(self) -> int:
+108        return dict_depth(self.mapping)
+109
+110    @property
+111    def supported_table_args(self) -> t.Tuple[str, ...]:
+112        if not self._supported_table_args and self.mapping:
+113            depth = self._depth()
+114
+115            if not depth:  # None
+116                self._supported_table_args = tuple()
+117            elif 1 <= depth <= 3:
+118                self._supported_table_args = TABLE_ARGS[:depth]
+119            else:
+120                raise SchemaError(f"Invalid mapping shape. Depth: {depth}")
+121
+122        return self._supported_table_args
+123
+124    def table_parts(self, table: exp.Table) -> t.List[str]:
+125        if isinstance(table.this, exp.ReadCSV):
+126            return [table.this.name]
+127        return [table.text(part) for part in TABLE_ARGS if table.text(part)]
+128
+129    def find(
+130        self, table: exp.Table, trie: t.Optional[t.Dict] = None, raise_on_missing: bool = True
+131    ) -> t.Optional[T]:
+132        parts = self.table_parts(table)[0 : len(self.supported_table_args)]
+133        value, trie = in_trie(self.mapping_trie if trie is None else trie, parts)
+134
+135        if value == 0:
+136            return None
+137
+138        if value == 1:
+139            possibilities = flatten_schema(trie, depth=dict_depth(trie) - 1)
+140
+141            if len(possibilities) == 1:
+142                parts.extend(possibilities[0])
+143            else:
+144                message = ", ".join(".".join(parts) for parts in possibilities)
+145                if raise_on_missing:
+146                    raise SchemaError(f"Ambiguous mapping for {table}: {message}.")
+147                return None
+148
+149        return self.nested_get(parts, raise_on_missing=raise_on_missing)
+150
+151    def nested_get(
+152        self, parts: t.Sequence[str], d: t.Optional[t.Dict] = None, raise_on_missing=True
+153    ) -> t.Optional[t.Any]:
+154        return nested_get(
+155            d or self.mapping,
+156            *zip(self.supported_table_args, reversed(parts)),
+157            raise_on_missing=raise_on_missing,
+158        )
+159
 160
-161
-162class MappingSchema(AbstractMappingSchema[t.Dict[str, str]], Schema):
-163    """
-164    Schema based on a nested mapping.
-165
-166    Args:
-167        schema: Mapping in one of the following forms:
-168            1. {table: {col: type}}
-169            2. {db: {table: {col: type}}}
-170            3. {catalog: {db: {table: {col: type}}}}
-171            4. None - Tables will be added later
-172        visible: Optional mapping of which columns in the schema are visible. If not provided, all columns
-173            are assumed to be visible. The nesting should mirror that of the schema:
-174            1. {table: set(*cols)}}
-175            2. {db: {table: set(*cols)}}}
-176            3. {catalog: {db: {table: set(*cols)}}}}
-177        dialect: The dialect to be used for custom type mappings & parsing string arguments.
-178    """
-179
-180    def __init__(
-181        self,
-182        schema: t.Optional[t.Dict] = None,
-183        visible: t.Optional[t.Dict] = None,
-184        dialect: DialectType = None,
-185    ) -> None:
-186        self.dialect = dialect
-187        self.visible = visible or {}
-188        self._type_mapping_cache: t.Dict[str, exp.DataType] = {}
-189
-190        super().__init__(self._normalize(schema or {}))
-191
-192    @classmethod
-193    def from_mapping_schema(cls, mapping_schema: MappingSchema) -> MappingSchema:
-194        return MappingSchema(
-195            schema=mapping_schema.mapping,
-196            visible=mapping_schema.visible,
-197            dialect=mapping_schema.dialect,
-198        )
-199
-200    def copy(self, **kwargs) -> MappingSchema:
-201        return MappingSchema(
-202            **{  # type: ignore
-203                "schema": self.mapping.copy(),
-204                "visible": self.visible.copy(),
-205                "dialect": self.dialect,
-206                **kwargs,
-207            }
-208        )
-209
-210    def add_table(
-211        self,
-212        table: exp.Table | str,
-213        column_mapping: t.Optional[ColumnMapping] = None,
-214        dialect: DialectType = None,
-215    ) -> None:
-216        """
-217        Register or update a table. Updates are only performed if a new column mapping is provided.
-218
-219        Args:
-220            table: the `Table` expression instance or string representing the table.
-221            column_mapping: a column mapping that describes the structure of the table.
-222            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-223        """
-224        normalized_table = self._normalize_table(
-225            self._ensure_table(table, dialect=dialect), dialect=dialect
-226        )
-227        normalized_column_mapping = {
-228            self._normalize_name(key, dialect=dialect): value
-229            for key, value in ensure_column_mapping(column_mapping).items()
-230        }
-231
-232        schema = self.find(normalized_table, raise_on_missing=False)
-233        if schema and not normalized_column_mapping:
-234            return
-235
-236        parts = self.table_parts(normalized_table)
-237
-238        nested_set(self.mapping, tuple(reversed(parts)), normalized_column_mapping)
-239        new_trie([parts], self.mapping_trie)
-240
-241    def column_names(
-242        self,
-243        table: exp.Table | str,
-244        only_visible: bool = False,
-245        dialect: DialectType = None,
-246    ) -> t.List[str]:
-247        normalized_table = self._normalize_table(
-248            self._ensure_table(table, dialect=dialect), dialect=dialect
-249        )
-250
-251        schema = self.find(normalized_table)
-252        if schema is None:
-253            return []
-254
-255        if not only_visible or not self.visible:
-256            return list(schema)
-257
-258        visible = self.nested_get(self.table_parts(normalized_table), self.visible) or []
-259        return [col for col in schema if col in visible]
-260
-261    def get_column_type(
-262        self,
-263        table: exp.Table | str,
-264        column: exp.Column,
-265        dialect: DialectType = None,
-266    ) -> exp.DataType:
-267        normalized_table = self._normalize_table(
-268            self._ensure_table(table, dialect=dialect), dialect=dialect
-269        )
-270        normalized_column_name = self._normalize_name(
-271            column if isinstance(column, str) else column.this, dialect=dialect
-272        )
-273
-274        table_schema = self.find(normalized_table, raise_on_missing=False)
-275        if table_schema:
-276            column_type = table_schema.get(normalized_column_name)
-277
-278            if isinstance(column_type, exp.DataType):
-279                return column_type
-280            elif isinstance(column_type, str):
-281                return self._to_data_type(column_type.upper(), dialect=dialect)
-282
-283            raise SchemaError(f"Unknown column type '{column_type}'")
-284
-285        return exp.DataType.build("unknown")
-286
-287    def _normalize(self, schema: t.Dict) -> t.Dict:
-288        """
-289        Converts all identifiers in the schema into lowercase, unless they're quoted.
-290
-291        Args:
-292            schema: the schema to normalize.
-293
-294        Returns:
-295            The normalized schema mapping.
-296        """
-297        flattened_schema = flatten_schema(schema, depth=dict_depth(schema) - 1)
-298
-299        normalized_mapping: t.Dict = {}
-300        for keys in flattened_schema:
-301            columns = nested_get(schema, *zip(keys, keys))
-302            assert columns is not None
-303
-304            normalized_keys = [self._normalize_name(key, dialect=self.dialect) for key in keys]
-305            for column_name, column_type in columns.items():
-306                nested_set(
-307                    normalized_mapping,
-308                    normalized_keys + [self._normalize_name(column_name, dialect=self.dialect)],
-309                    column_type,
-310                )
-311
-312        return normalized_mapping
-313
-314    def _normalize_table(self, table: exp.Table, dialect: DialectType = None) -> exp.Table:
-315        normalized_table = table.copy()
-316
-317        for arg in TABLE_ARGS:
-318            value = normalized_table.args.get(arg)
-319            if isinstance(value, (str, exp.Identifier)):
-320                normalized_table.set(arg, self._normalize_name(value, dialect=dialect))
-321
-322        return normalized_table
-323
-324    def _normalize_name(self, name: str | exp.Identifier, dialect: DialectType = None) -> str:
-325        dialect = dialect or self.dialect
-326
-327        try:
-328            identifier = sqlglot.maybe_parse(name, dialect=dialect, into=exp.Identifier)
-329        except ParseError:
-330            return name if isinstance(name, str) else name.name
-331
-332        return identifier.name if identifier.quoted else identifier.name.lower()
-333
-334    def _depth(self) -> int:
-335        # The columns themselves are a mapping, but we don't want to include those
-336        return super()._depth() - 1
-337
-338    def _ensure_table(self, table: exp.Table | str, dialect: DialectType = None) -> exp.Table:
-339        if isinstance(table, exp.Table):
-340            return table
-341
-342        dialect = dialect or self.dialect
-343        parsed_table = sqlglot.parse_one(table, read=dialect, into=exp.Table)
-344
-345        if not parsed_table:
-346            in_dialect = f" in dialect {dialect}" if dialect else ""
-347            raise SchemaError(f"Failed to parse table '{table}'{in_dialect}.")
-348
-349        return parsed_table
-350
-351    def _to_data_type(self, schema_type: str, dialect: DialectType = None) -> exp.DataType:
-352        """
-353        Convert a type represented as a string to the corresponding `sqlglot.exp.DataType` object.
-354
-355        Args:
-356            schema_type: the type we want to convert.
-357            dialect: the SQL dialect that will be used to parse `schema_type`, if needed.
-358
-359        Returns:
-360            The resulting expression type.
-361        """
-362        if schema_type not in self._type_mapping_cache:
-363            dialect = dialect or self.dialect
-364
-365            try:
-366                expression = exp.DataType.build(schema_type, dialect=dialect)
-367                self._type_mapping_cache[schema_type] = expression
-368            except AttributeError:
-369                in_dialect = f" in dialect {dialect}" if dialect else ""
-370                raise SchemaError(f"Failed to build type '{schema_type}'{in_dialect}.")
-371
-372        return self._type_mapping_cache[schema_type]
+161class MappingSchema(AbstractMappingSchema[t.Dict[str, str]], Schema):
+162    """
+163    Schema based on a nested mapping.
+164
+165    Args:
+166        schema: Mapping in one of the following forms:
+167            1. {table: {col: type}}
+168            2. {db: {table: {col: type}}}
+169            3. {catalog: {db: {table: {col: type}}}}
+170            4. None - Tables will be added later
+171        visible: Optional mapping of which columns in the schema are visible. If not provided, all columns
+172            are assumed to be visible. The nesting should mirror that of the schema:
+173            1. {table: set(*cols)}}
+174            2. {db: {table: set(*cols)}}}
+175            3. {catalog: {db: {table: set(*cols)}}}}
+176        dialect: The dialect to be used for custom type mappings & parsing string arguments.
+177    """
+178
+179    def __init__(
+180        self,
+181        schema: t.Optional[t.Dict] = None,
+182        visible: t.Optional[t.Dict] = None,
+183        dialect: DialectType = None,
+184    ) -> None:
+185        self.dialect = dialect
+186        self.visible = visible or {}
+187        self._type_mapping_cache: t.Dict[str, exp.DataType] = {}
+188
+189        super().__init__(self._normalize(schema or {}))
+190
+191    @classmethod
+192    def from_mapping_schema(cls, mapping_schema: MappingSchema) -> MappingSchema:
+193        return MappingSchema(
+194            schema=mapping_schema.mapping,
+195            visible=mapping_schema.visible,
+196            dialect=mapping_schema.dialect,
+197        )
+198
+199    def copy(self, **kwargs) -> MappingSchema:
+200        return MappingSchema(
+201            **{  # type: ignore
+202                "schema": self.mapping.copy(),
+203                "visible": self.visible.copy(),
+204                "dialect": self.dialect,
+205                **kwargs,
+206            }
+207        )
+208
+209    def add_table(
+210        self,
+211        table: exp.Table | str,
+212        column_mapping: t.Optional[ColumnMapping] = None,
+213        dialect: DialectType = None,
+214    ) -> None:
+215        """
+216        Register or update a table. Updates are only performed if a new column mapping is provided.
+217
+218        Args:
+219            table: the `Table` expression instance or string representing the table.
+220            column_mapping: a column mapping that describes the structure of the table.
+221            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+222        """
+223        normalized_table = self._normalize_table(
+224            self._ensure_table(table, dialect=dialect), dialect=dialect
+225        )
+226        normalized_column_mapping = {
+227            self._normalize_name(key, dialect=dialect): value
+228            for key, value in ensure_column_mapping(column_mapping).items()
+229        }
+230
+231        schema = self.find(normalized_table, raise_on_missing=False)
+232        if schema and not normalized_column_mapping:
+233            return
+234
+235        parts = self.table_parts(normalized_table)
+236
+237        nested_set(self.mapping, tuple(reversed(parts)), normalized_column_mapping)
+238        new_trie([parts], self.mapping_trie)
+239
+240    def column_names(
+241        self,
+242        table: exp.Table | str,
+243        only_visible: bool = False,
+244        dialect: DialectType = None,
+245    ) -> t.List[str]:
+246        normalized_table = self._normalize_table(
+247            self._ensure_table(table, dialect=dialect), dialect=dialect
+248        )
+249
+250        schema = self.find(normalized_table)
+251        if schema is None:
+252            return []
+253
+254        if not only_visible or not self.visible:
+255            return list(schema)
+256
+257        visible = self.nested_get(self.table_parts(normalized_table), self.visible) or []
+258        return [col for col in schema if col in visible]
+259
+260    def get_column_type(
+261        self,
+262        table: exp.Table | str,
+263        column: exp.Column,
+264        dialect: DialectType = None,
+265    ) -> exp.DataType:
+266        normalized_table = self._normalize_table(
+267            self._ensure_table(table, dialect=dialect), dialect=dialect
+268        )
+269        normalized_column_name = self._normalize_name(
+270            column if isinstance(column, str) else column.this, dialect=dialect
+271        )
+272
+273        table_schema = self.find(normalized_table, raise_on_missing=False)
+274        if table_schema:
+275            column_type = table_schema.get(normalized_column_name)
+276
+277            if isinstance(column_type, exp.DataType):
+278                return column_type
+279            elif isinstance(column_type, str):
+280                return self._to_data_type(column_type.upper(), dialect=dialect)
+281
+282            raise SchemaError(f"Unknown column type '{column_type}'")
+283
+284        return exp.DataType.build("unknown")
+285
+286    def _normalize(self, schema: t.Dict) -> t.Dict:
+287        """
+288        Converts all identifiers in the schema into lowercase, unless they're quoted.
+289
+290        Args:
+291            schema: the schema to normalize.
+292
+293        Returns:
+294            The normalized schema mapping.
+295        """
+296        flattened_schema = flatten_schema(schema, depth=dict_depth(schema) - 1)
+297
+298        normalized_mapping: t.Dict = {}
+299        for keys in flattened_schema:
+300            columns = nested_get(schema, *zip(keys, keys))
+301            assert columns is not None
+302
+303            normalized_keys = [self._normalize_name(key, dialect=self.dialect) for key in keys]
+304            for column_name, column_type in columns.items():
+305                nested_set(
+306                    normalized_mapping,
+307                    normalized_keys + [self._normalize_name(column_name, dialect=self.dialect)],
+308                    column_type,
+309                )
+310
+311        return normalized_mapping
+312
+313    def _normalize_table(self, table: exp.Table, dialect: DialectType = None) -> exp.Table:
+314        normalized_table = table.copy()
+315
+316        for arg in TABLE_ARGS:
+317            value = normalized_table.args.get(arg)
+318            if isinstance(value, (str, exp.Identifier)):
+319                normalized_table.set(arg, self._normalize_name(value, dialect=dialect))
+320
+321        return normalized_table
+322
+323    def _normalize_name(self, name: str | exp.Identifier, dialect: DialectType = None) -> str:
+324        dialect = dialect or self.dialect
+325
+326        try:
+327            identifier = sqlglot.maybe_parse(name, dialect=dialect, into=exp.Identifier)
+328        except ParseError:
+329            return name if isinstance(name, str) else name.name
+330
+331        return identifier.name if identifier.quoted else identifier.name.lower()
+332
+333    def _depth(self) -> int:
+334        # The columns themselves are a mapping, but we don't want to include those
+335        return super()._depth() - 1
+336
+337    def _ensure_table(self, table: exp.Table | str, dialect: DialectType = None) -> exp.Table:
+338        if isinstance(table, exp.Table):
+339            return table
+340
+341        dialect = dialect or self.dialect
+342        parsed_table = sqlglot.parse_one(table, read=dialect, into=exp.Table)
+343
+344        if not parsed_table:
+345            in_dialect = f" in dialect {dialect}" if dialect else ""
+346            raise SchemaError(f"Failed to parse table '{table}'{in_dialect}.")
+347
+348        return parsed_table
+349
+350    def _to_data_type(self, schema_type: str, dialect: DialectType = None) -> exp.DataType:
+351        """
+352        Convert a type represented as a string to the corresponding `sqlglot.exp.DataType` object.
+353
+354        Args:
+355            schema_type: the type we want to convert.
+356            dialect: the SQL dialect that will be used to parse `schema_type`, if needed.
+357
+358        Returns:
+359            The resulting expression type.
+360        """
+361        if schema_type not in self._type_mapping_cache:
+362            dialect = dialect or self.dialect
+363
+364            try:
+365                expression = exp.DataType.build(schema_type, dialect=dialect)
+366                self._type_mapping_cache[schema_type] = expression
+367            except AttributeError:
+368                in_dialect = f" in dialect {dialect}" if dialect else ""
+369                raise SchemaError(f"Failed to build type '{schema_type}'{in_dialect}.")
+370
+371        return self._type_mapping_cache[schema_type]
+372
 373
-374
-375def ensure_schema(schema: t.Any, dialect: DialectType = None) -> Schema:
-376    if isinstance(schema, Schema):
-377        return schema
-378
-379    return MappingSchema(schema, dialect=dialect)
+374def ensure_schema(schema: t.Any, dialect: DialectType = None) -> Schema:
+375    if isinstance(schema, Schema):
+376        return schema
+377
+378    return MappingSchema(schema, dialect=dialect)
+379
 380
-381
-382def ensure_column_mapping(mapping: t.Optional[ColumnMapping]) -> t.Dict:
-383    if mapping is None:
-384        return {}
-385    elif isinstance(mapping, dict):
-386        return mapping
-387    elif isinstance(mapping, str):
-388        col_name_type_strs = [x.strip() for x in mapping.split(",")]
-389        return {
-390            name_type_str.split(":")[0].strip(): name_type_str.split(":")[1].strip()
-391            for name_type_str in col_name_type_strs
-392        }
-393    # Check if mapping looks like a DataFrame StructType
-394    elif hasattr(mapping, "simpleString"):
-395        return {struct_field.name: struct_field.dataType.simpleString() for struct_field in mapping}
-396    elif isinstance(mapping, list):
-397        return {x.strip(): None for x in mapping}
-398
-399    raise ValueError(f"Invalid mapping provided: {type(mapping)}")
+381def ensure_column_mapping(mapping: t.Optional[ColumnMapping]) -> t.Dict:
+382    if mapping is None:
+383        return {}
+384    elif isinstance(mapping, dict):
+385        return mapping
+386    elif isinstance(mapping, str):
+387        col_name_type_strs = [x.strip() for x in mapping.split(",")]
+388        return {
+389            name_type_str.split(":")[0].strip(): name_type_str.split(":")[1].strip()
+390            for name_type_str in col_name_type_strs
+391        }
+392    # Check if mapping looks like a DataFrame StructType
+393    elif hasattr(mapping, "simpleString"):
+394        return {struct_field.name: struct_field.dataType.simpleString() for struct_field in mapping}
+395    elif isinstance(mapping, list):
+396        return {x.strip(): None for x in mapping}
+397
+398    raise ValueError(f"Invalid mapping provided: {type(mapping)}")
+399
 400
-401
-402def flatten_schema(
-403    schema: t.Dict, depth: int, keys: t.Optional[t.List[str]] = None
-404) -> t.List[t.List[str]]:
-405    tables = []
-406    keys = keys or []
-407
-408    for k, v in schema.items():
-409        if depth >= 2:
-410            tables.extend(flatten_schema(v, depth - 1, keys + [k]))
-411        elif depth == 1:
-412            tables.append(keys + [k])
-413
-414    return tables
+401def flatten_schema(
+402    schema: t.Dict, depth: int, keys: t.Optional[t.List[str]] = None
+403) -> t.List[t.List[str]]:
+404    tables = []
+405    keys = keys or []
+406
+407    for k, v in schema.items():
+408        if depth >= 2:
+409            tables.extend(flatten_schema(v, depth - 1, keys + [k]))
+410        elif depth == 1:
+411            tables.append(keys + [k])
+412
+413    return tables
+414
 415
-416
-417def nested_get(
-418    d: t.Dict, *path: t.Tuple[str, str], raise_on_missing: bool = True
-419) -> t.Optional[t.Any]:
-420    """
-421    Get a value for a nested dictionary.
-422
-423    Args:
-424        d: the dictionary to search.
-425        *path: tuples of (name, key), where:
-426            `key` is the key in the dictionary to get.
-427            `name` is a string to use in the error if `key` isn't found.
-428
-429    Returns:
-430        The value or None if it doesn't exist.
-431    """
-432    for name, key in path:
-433        d = d.get(key)  # type: ignore
-434        if d is None:
-435            if raise_on_missing:
-436                name = "table" if name == "this" else name
-437                raise ValueError(f"Unknown {name}: {key}")
-438            return None
-439
-440    return d
+416def nested_get(
+417    d: t.Dict, *path: t.Tuple[str, str], raise_on_missing: bool = True
+418) -> t.Optional[t.Any]:
+419    """
+420    Get a value for a nested dictionary.
+421
+422    Args:
+423        d: the dictionary to search.
+424        *path: tuples of (name, key), where:
+425            `key` is the key in the dictionary to get.
+426            `name` is a string to use in the error if `key` isn't found.
+427
+428    Returns:
+429        The value or None if it doesn't exist.
+430    """
+431    for name, key in path:
+432        d = d.get(key)  # type: ignore
+433        if d is None:
+434            if raise_on_missing:
+435                name = "table" if name == "this" else name
+436                raise ValueError(f"Unknown {name}: {key}")
+437            return None
+438
+439    return d
+440
 441
-442
-443def nested_set(d: t.Dict, keys: t.Sequence[str], value: t.Any) -> t.Dict:
-444    """
-445    In-place set a value for a nested dictionary
-446
-447    Example:
-448        >>> nested_set({}, ["top_key", "second_key"], "value")
-449        {'top_key': {'second_key': 'value'}}
-450
-451        >>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")
-452        {'top_key': {'third_key': 'third_value', 'second_key': 'value'}}
-453
-454    Args:
-455        d: dictionary to update.
-456        keys: the keys that makeup the path to `value`.
-457        value: the value to set in the dictionary for the given key path.
-458
-459    Returns:
-460        The (possibly) updated dictionary.
-461    """
-462    if not keys:
-463        return d
-464
-465    if len(keys) == 1:
-466        d[keys[0]] = value
-467        return d
-468
-469    subd = d
-470    for key in keys[:-1]:
-471        if key not in subd:
-472            subd = subd.setdefault(key, {})
-473        else:
-474            subd = subd[key]
-475
-476    subd[keys[-1]] = value
-477    return d
+442def nested_set(d: t.Dict, keys: t.Sequence[str], value: t.Any) -> t.Dict:
+443    """
+444    In-place set a value for a nested dictionary
+445
+446    Example:
+447        >>> nested_set({}, ["top_key", "second_key"], "value")
+448        {'top_key': {'second_key': 'value'}}
+449
+450        >>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")
+451        {'top_key': {'third_key': 'third_value', 'second_key': 'value'}}
+452
+453    Args:
+454        d: dictionary to update.
+455        keys: the keys that makeup the path to `value`.
+456        value: the value to set in the dictionary for the given key path.
+457
+458    Returns:
+459        The (possibly) updated dictionary.
+460    """
+461    if not keys:
+462        return d
+463
+464    if len(keys) == 1:
+465        d[keys[0]] = value
+466        return d
+467
+468    subd = d
+469    for key in keys[:-1]:
+470        if key not in subd:
+471            subd = subd.setdefault(key, {})
+472        else:
+473            subd = subd[key]
+474
+475    subd[keys[-1]] = value
+476    return d
 
    
 
 
@@ -623,74 +622,74 @@ 
    
 
     
    
     
-            
    24class Schema(abc.ABC):
-25    """Abstract base class for database schemas"""
-26
-27    @abc.abstractmethod
-28    def add_table(
-29        self,
-30        table: exp.Table | str,
-31        column_mapping: t.Optional[ColumnMapping] = None,
-32        dialect: DialectType = None,
-33    ) -> None:
-34        """
-35        Register or update a table. Some implementing classes may require column information to also be provided.
-36
-37        Args:
-38            table: the `Table` expression instance or string representing the table.
-39            column_mapping: a column mapping that describes the structure of the table.
-40            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-41        """
-42
-43    @abc.abstractmethod
-44    def column_names(
-45        self,
-46        table: exp.Table | str,
-47        only_visible: bool = False,
-48        dialect: DialectType = None,
-49    ) -> t.List[str]:
-50        """
-51        Get the column names for a table.
-52
-53        Args:
-54            table: the `Table` expression instance.
-55            only_visible: whether to include invisible columns.
-56            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-57
-58        Returns:
-59            The list of column names.
-60        """
-61
-62    @abc.abstractmethod
-63    def get_column_type(
-64        self,
-65        table: exp.Table | str,
-66        column: exp.Column,
-67        dialect: DialectType = None,
-68    ) -> exp.DataType:
-69        """
-70        Get the `sqlglot.exp.DataType` type of a column in the schema.
-71
-72        Args:
-73            table: the source table.
-74            column: the target column.
-75            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-76
-77        Returns:
-78            The resulting column type.
-79        """
-80
-81    @property
-82    @abc.abstractmethod
-83    def supported_table_args(self) -> t.Tuple[str, ...]:
-84        """
-85        Table arguments this schema support, e.g. `("this", "db", "catalog")`
-86        """
-87
-88    @property
-89    def empty(self) -> bool:
-90        """Returns whether or not the schema is empty."""
-91        return True
+            
    23class Schema(abc.ABC):
+24    """Abstract base class for database schemas"""
+25
+26    @abc.abstractmethod
+27    def add_table(
+28        self,
+29        table: exp.Table | str,
+30        column_mapping: t.Optional[ColumnMapping] = None,
+31        dialect: DialectType = None,
+32    ) -> None:
+33        """
+34        Register or update a table. Some implementing classes may require column information to also be provided.
+35
+36        Args:
+37            table: the `Table` expression instance or string representing the table.
+38            column_mapping: a column mapping that describes the structure of the table.
+39            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+40        """
+41
+42    @abc.abstractmethod
+43    def column_names(
+44        self,
+45        table: exp.Table | str,
+46        only_visible: bool = False,
+47        dialect: DialectType = None,
+48    ) -> t.List[str]:
+49        """
+50        Get the column names for a table.
+51
+52        Args:
+53            table: the `Table` expression instance.
+54            only_visible: whether to include invisible columns.
+55            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+56
+57        Returns:
+58            The list of column names.
+59        """
+60
+61    @abc.abstractmethod
+62    def get_column_type(
+63        self,
+64        table: exp.Table | str,
+65        column: exp.Column,
+66        dialect: DialectType = None,
+67    ) -> exp.DataType:
+68        """
+69        Get the `sqlglot.exp.DataType` type of a column in the schema.
+70
+71        Args:
+72            table: the source table.
+73            column: the target column.
+74            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+75
+76        Returns:
+77            The resulting column type.
+78        """
+79
+80    @property
+81    @abc.abstractmethod
+82    def supported_table_args(self) -> t.Tuple[str, ...]:
+83        """
+84        Table arguments this schema support, e.g. `("this", "db", "catalog")`
+85        """
+86
+87    @property
+88    def empty(self) -> bool:
+89        """Returns whether or not the schema is empty."""
+90        return True
 
    
 
 
@@ -710,21 +709,21 @@ 
    
 
     
    
     
-            
    27    @abc.abstractmethod
-28    def add_table(
-29        self,
-30        table: exp.Table | str,
-31        column_mapping: t.Optional[ColumnMapping] = None,
-32        dialect: DialectType = None,
-33    ) -> None:
-34        """
-35        Register or update a table. Some implementing classes may require column information to also be provided.
-36
-37        Args:
-38            table: the `Table` expression instance or string representing the table.
-39            column_mapping: a column mapping that describes the structure of the table.
-40            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-41        """
+            
    26    @abc.abstractmethod
+27    def add_table(
+28        self,
+29        table: exp.Table | str,
+30        column_mapping: t.Optional[ColumnMapping] = None,
+31        dialect: DialectType = None,
+32    ) -> None:
+33        """
+34        Register or update a table. Some implementing classes may require column information to also be provided.
+35
+36        Args:
+37            table: the `Table` expression instance or string representing the table.
+38            column_mapping: a column mapping that describes the structure of the table.
+39            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+40        """
 
    
 
 
@@ -753,24 +752,24 @@ 
    Arguments:
    
 
     
    
     
-            
    43    @abc.abstractmethod
-44    def column_names(
-45        self,
-46        table: exp.Table | str,
-47        only_visible: bool = False,
-48        dialect: DialectType = None,
-49    ) -> t.List[str]:
-50        """
-51        Get the column names for a table.
-52
-53        Args:
-54            table: the `Table` expression instance.
-55            only_visible: whether to include invisible columns.
-56            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-57
-58        Returns:
-59            The list of column names.
-60        """
+            
    42    @abc.abstractmethod
+43    def column_names(
+44        self,
+45        table: exp.Table | str,
+46        only_visible: bool = False,
+47        dialect: DialectType = None,
+48    ) -> t.List[str]:
+49        """
+50        Get the column names for a table.
+51
+52        Args:
+53            table: the `Table` expression instance.
+54            only_visible: whether to include invisible columns.
+55            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+56
+57        Returns:
+58            The list of column names.
+59        """
 
    
 
 
@@ -805,24 +804,24 @@ 
    Returns:
    
 
     
    
     
-            
    62    @abc.abstractmethod
-63    def get_column_type(
-64        self,
-65        table: exp.Table | str,
-66        column: exp.Column,
-67        dialect: DialectType = None,
-68    ) -> exp.DataType:
-69        """
-70        Get the `sqlglot.exp.DataType` type of a column in the schema.
-71
-72        Args:
-73            table: the source table.
-74            column: the target column.
-75            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-76
-77        Returns:
-78            The resulting column type.
-79        """
+            
    61    @abc.abstractmethod
+62    def get_column_type(
+63        self,
+64        table: exp.Table | str,
+65        column: exp.Column,
+66        dialect: DialectType = None,
+67    ) -> exp.DataType:
+68        """
+69        Get the `sqlglot.exp.DataType` type of a column in the schema.
+70
+71        Args:
+72            table: the source table.
+73            column: the target column.
+74            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+75
+76        Returns:
+77            The resulting column type.
+78        """
 
    
 
 
@@ -883,73 +882,73 @@ 
    Returns:
    
 
     
    
     
-            
     94class AbstractMappingSchema(t.Generic[T]):
- 95    def __init__(
- 96        self,
- 97        mapping: t.Optional[t.Dict] = None,
- 98    ) -> None:
- 99        self.mapping = mapping or {}
-100        self.mapping_trie = new_trie(
-101            tuple(reversed(t)) for t in flatten_schema(self.mapping, depth=self._depth())
-102        )
-103        self._supported_table_args: t.Tuple[str, ...] = tuple()
-104
-105    @property
-106    def empty(self) -> bool:
-107        return not self.mapping
-108
-109    def _depth(self) -> int:
-110        return dict_depth(self.mapping)
-111
-112    @property
-113    def supported_table_args(self) -> t.Tuple[str, ...]:
-114        if not self._supported_table_args and self.mapping:
-115            depth = self._depth()
-116
-117            if not depth:  # None
-118                self._supported_table_args = tuple()
-119            elif 1 <= depth <= 3:
-120                self._supported_table_args = TABLE_ARGS[:depth]
-121            else:
-122                raise SchemaError(f"Invalid mapping shape. Depth: {depth}")
-123
-124        return self._supported_table_args
-125
-126    def table_parts(self, table: exp.Table) -> t.List[str]:
-127        if isinstance(table.this, exp.ReadCSV):
-128            return [table.this.name]
-129        return [table.text(part) for part in TABLE_ARGS if table.text(part)]
-130
-131    def find(
-132        self, table: exp.Table, trie: t.Optional[t.Dict] = None, raise_on_missing: bool = True
-133    ) -> t.Optional[T]:
-134        parts = self.table_parts(table)[0 : len(self.supported_table_args)]
-135        value, trie = in_trie(self.mapping_trie if trie is None else trie, parts)
-136
-137        if value == 0:
-138            return None
-139
-140        if value == 1:
-141            possibilities = flatten_schema(trie, depth=dict_depth(trie) - 1)
-142
-143            if len(possibilities) == 1:
-144                parts.extend(possibilities[0])
-145            else:
-146                message = ", ".join(".".join(parts) for parts in possibilities)
-147                if raise_on_missing:
-148                    raise SchemaError(f"Ambiguous mapping for {table}: {message}.")
-149                return None
-150
-151        return self.nested_get(parts, raise_on_missing=raise_on_missing)
-152
-153    def nested_get(
-154        self, parts: t.Sequence[str], d: t.Optional[t.Dict] = None, raise_on_missing=True
-155    ) -> t.Optional[t.Any]:
-156        return nested_get(
-157            d or self.mapping,
-158            *zip(self.supported_table_args, reversed(parts)),
-159            raise_on_missing=raise_on_missing,
-160        )
+            
     93class AbstractMappingSchema(t.Generic[T]):
+ 94    def __init__(
+ 95        self,
+ 96        mapping: t.Optional[t.Dict] = None,
+ 97    ) -> None:
+ 98        self.mapping = mapping or {}
+ 99        self.mapping_trie = new_trie(
+100            tuple(reversed(t)) for t in flatten_schema(self.mapping, depth=self._depth())
+101        )
+102        self._supported_table_args: t.Tuple[str, ...] = tuple()
+103
+104    @property
+105    def empty(self) -> bool:
+106        return not self.mapping
+107
+108    def _depth(self) -> int:
+109        return dict_depth(self.mapping)
+110
+111    @property
+112    def supported_table_args(self) -> t.Tuple[str, ...]:
+113        if not self._supported_table_args and self.mapping:
+114            depth = self._depth()
+115
+116            if not depth:  # None
+117                self._supported_table_args = tuple()
+118            elif 1 <= depth <= 3:
+119                self._supported_table_args = TABLE_ARGS[:depth]
+120            else:
+121                raise SchemaError(f"Invalid mapping shape. Depth: {depth}")
+122
+123        return self._supported_table_args
+124
+125    def table_parts(self, table: exp.Table) -> t.List[str]:
+126        if isinstance(table.this, exp.ReadCSV):
+127            return [table.this.name]
+128        return [table.text(part) for part in TABLE_ARGS if table.text(part)]
+129
+130    def find(
+131        self, table: exp.Table, trie: t.Optional[t.Dict] = None, raise_on_missing: bool = True
+132    ) -> t.Optional[T]:
+133        parts = self.table_parts(table)[0 : len(self.supported_table_args)]
+134        value, trie = in_trie(self.mapping_trie if trie is None else trie, parts)
+135
+136        if value == 0:
+137            return None
+138
+139        if value == 1:
+140            possibilities = flatten_schema(trie, depth=dict_depth(trie) - 1)
+141
+142            if len(possibilities) == 1:
+143                parts.extend(possibilities[0])
+144            else:
+145                message = ", ".join(".".join(parts) for parts in possibilities)
+146                if raise_on_missing:
+147                    raise SchemaError(f"Ambiguous mapping for {table}: {message}.")
+148                return None
+149
+150        return self.nested_get(parts, raise_on_missing=raise_on_missing)
+151
+152    def nested_get(
+153        self, parts: t.Sequence[str], d: t.Optional[t.Dict] = None, raise_on_missing=True
+154    ) -> t.Optional[t.Any]:
+155        return nested_get(
+156            d or self.mapping,
+157            *zip(self.supported_table_args, reversed(parts)),
+158            raise_on_missing=raise_on_missing,
+159        )
 
    
 
 
@@ -984,15 +983,15 @@ 
    Returns:
    
 
     
    
     
-            
     95    def __init__(
- 96        self,
- 97        mapping: t.Optional[t.Dict] = None,
- 98    ) -> None:
- 99        self.mapping = mapping or {}
-100        self.mapping_trie = new_trie(
-101            tuple(reversed(t)) for t in flatten_schema(self.mapping, depth=self._depth())
-102        )
-103        self._supported_table_args: t.Tuple[str, ...] = tuple()
+            
     94    def __init__(
+ 95        self,
+ 96        mapping: t.Optional[t.Dict] = None,
+ 97    ) -> None:
+ 98        self.mapping = mapping or {}
+ 99        self.mapping_trie = new_trie(
+100            tuple(reversed(t)) for t in flatten_schema(self.mapping, depth=self._depth())
+101        )
+102        self._supported_table_args: t.Tuple[str, ...] = tuple()
 
    
 
 
@@ -1010,10 +1009,10 @@ 
    Returns:
    
 
     
    
     
-            
    126    def table_parts(self, table: exp.Table) -> t.List[str]:
-127        if isinstance(table.this, exp.ReadCSV):
-128            return [table.this.name]
-129        return [table.text(part) for part in TABLE_ARGS if table.text(part)]
+            
    125    def table_parts(self, table: exp.Table) -> t.List[str]:
+126        if isinstance(table.this, exp.ReadCSV):
+127            return [table.this.name]
+128        return [table.text(part) for part in TABLE_ARGS if table.text(part)]
 
    
 
 
@@ -1031,27 +1030,27 @@ 
    Returns:
    
 
     
    
     
-            
    131    def find(
-132        self, table: exp.Table, trie: t.Optional[t.Dict] = None, raise_on_missing: bool = True
-133    ) -> t.Optional[T]:
-134        parts = self.table_parts(table)[0 : len(self.supported_table_args)]
-135        value, trie = in_trie(self.mapping_trie if trie is None else trie, parts)
-136
-137        if value == 0:
-138            return None
-139
-140        if value == 1:
-141            possibilities = flatten_schema(trie, depth=dict_depth(trie) - 1)
-142
-143            if len(possibilities) == 1:
-144                parts.extend(possibilities[0])
-145            else:
-146                message = ", ".join(".".join(parts) for parts in possibilities)
-147                if raise_on_missing:
-148                    raise SchemaError(f"Ambiguous mapping for {table}: {message}.")
-149                return None
-150
-151        return self.nested_get(parts, raise_on_missing=raise_on_missing)
+            
    130    def find(
+131        self, table: exp.Table, trie: t.Optional[t.Dict] = None, raise_on_missing: bool = True
+132    ) -> t.Optional[T]:
+133        parts = self.table_parts(table)[0 : len(self.supported_table_args)]
+134        value, trie = in_trie(self.mapping_trie if trie is None else trie, parts)
+135
+136        if value == 0:
+137            return None
+138
+139        if value == 1:
+140            possibilities = flatten_schema(trie, depth=dict_depth(trie) - 1)
+141
+142            if len(possibilities) == 1:
+143                parts.extend(possibilities[0])
+144            else:
+145                message = ", ".join(".".join(parts) for parts in possibilities)
+146                if raise_on_missing:
+147                    raise SchemaError(f"Ambiguous mapping for {table}: {message}.")
+148                return None
+149
+150        return self.nested_get(parts, raise_on_missing=raise_on_missing)
 
    
 
 
@@ -1069,14 +1068,14 @@ 
    Returns:
    
 
     
    
     
-            
    153    def nested_get(
-154        self, parts: t.Sequence[str], d: t.Optional[t.Dict] = None, raise_on_missing=True
-155    ) -> t.Optional[t.Any]:
-156        return nested_get(
-157            d or self.mapping,
-158            *zip(self.supported_table_args, reversed(parts)),
-159            raise_on_missing=raise_on_missing,
-160        )
+            
    152    def nested_get(
+153        self, parts: t.Sequence[str], d: t.Optional[t.Dict] = None, raise_on_missing=True
+154    ) -> t.Optional[t.Any]:
+155        return nested_get(
+156            d or self.mapping,
+157            *zip(self.supported_table_args, reversed(parts)),
+158            raise_on_missing=raise_on_missing,
+159        )
 
    
 
 
@@ -1095,217 +1094,217 @@ 
    Returns:
    
 
     
    
     
-            
    163class MappingSchema(AbstractMappingSchema[t.Dict[str, str]], Schema):
-164    """
-165    Schema based on a nested mapping.
-166
-167    Args:
-168        schema: Mapping in one of the following forms:
-169            1. {table: {col: type}}
-170            2. {db: {table: {col: type}}}
-171            3. {catalog: {db: {table: {col: type}}}}
-172            4. None - Tables will be added later
-173        visible: Optional mapping of which columns in the schema are visible. If not provided, all columns
-174            are assumed to be visible. The nesting should mirror that of the schema:
-175            1. {table: set(*cols)}}
-176            2. {db: {table: set(*cols)}}}
-177            3. {catalog: {db: {table: set(*cols)}}}}
-178        dialect: The dialect to be used for custom type mappings & parsing string arguments.
-179    """
-180
-181    def __init__(
-182        self,
-183        schema: t.Optional[t.Dict] = None,
-184        visible: t.Optional[t.Dict] = None,
-185        dialect: DialectType = None,
-186    ) -> None:
-187        self.dialect = dialect
-188        self.visible = visible or {}
-189        self._type_mapping_cache: t.Dict[str, exp.DataType] = {}
-190
-191        super().__init__(self._normalize(schema or {}))
-192
-193    @classmethod
-194    def from_mapping_schema(cls, mapping_schema: MappingSchema) -> MappingSchema:
-195        return MappingSchema(
-196            schema=mapping_schema.mapping,
-197            visible=mapping_schema.visible,
-198            dialect=mapping_schema.dialect,
-199        )
-200
-201    def copy(self, **kwargs) -> MappingSchema:
-202        return MappingSchema(
-203            **{  # type: ignore
-204                "schema": self.mapping.copy(),
-205                "visible": self.visible.copy(),
-206                "dialect": self.dialect,
-207                **kwargs,
-208            }
-209        )
-210
-211    def add_table(
-212        self,
-213        table: exp.Table | str,
-214        column_mapping: t.Optional[ColumnMapping] = None,
-215        dialect: DialectType = None,
-216    ) -> None:
-217        """
-218        Register or update a table. Updates are only performed if a new column mapping is provided.
-219
-220        Args:
-221            table: the `Table` expression instance or string representing the table.
-222            column_mapping: a column mapping that describes the structure of the table.
-223            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-224        """
-225        normalized_table = self._normalize_table(
-226            self._ensure_table(table, dialect=dialect), dialect=dialect
-227        )
-228        normalized_column_mapping = {
-229            self._normalize_name(key, dialect=dialect): value
-230            for key, value in ensure_column_mapping(column_mapping).items()
-231        }
-232
-233        schema = self.find(normalized_table, raise_on_missing=False)
-234        if schema and not normalized_column_mapping:
-235            return
-236
-237        parts = self.table_parts(normalized_table)
-238
-239        nested_set(self.mapping, tuple(reversed(parts)), normalized_column_mapping)
-240        new_trie([parts], self.mapping_trie)
-241
-242    def column_names(
-243        self,
-244        table: exp.Table | str,
-245        only_visible: bool = False,
-246        dialect: DialectType = None,
-247    ) -> t.List[str]:
-248        normalized_table = self._normalize_table(
-249            self._ensure_table(table, dialect=dialect), dialect=dialect
-250        )
-251
-252        schema = self.find(normalized_table)
-253        if schema is None:
-254            return []
-255
-256        if not only_visible or not self.visible:
-257            return list(schema)
-258
-259        visible = self.nested_get(self.table_parts(normalized_table), self.visible) or []
-260        return [col for col in schema if col in visible]
-261
-262    def get_column_type(
-263        self,
-264        table: exp.Table | str,
-265        column: exp.Column,
-266        dialect: DialectType = None,
-267    ) -> exp.DataType:
-268        normalized_table = self._normalize_table(
-269            self._ensure_table(table, dialect=dialect), dialect=dialect
-270        )
-271        normalized_column_name = self._normalize_name(
-272            column if isinstance(column, str) else column.this, dialect=dialect
-273        )
-274
-275        table_schema = self.find(normalized_table, raise_on_missing=False)
-276        if table_schema:
-277            column_type = table_schema.get(normalized_column_name)
-278
-279            if isinstance(column_type, exp.DataType):
-280                return column_type
-281            elif isinstance(column_type, str):
-282                return self._to_data_type(column_type.upper(), dialect=dialect)
-283
-284            raise SchemaError(f"Unknown column type '{column_type}'")
-285
-286        return exp.DataType.build("unknown")
-287
-288    def _normalize(self, schema: t.Dict) -> t.Dict:
-289        """
-290        Converts all identifiers in the schema into lowercase, unless they're quoted.
-291
-292        Args:
-293            schema: the schema to normalize.
-294
-295        Returns:
-296            The normalized schema mapping.
-297        """
-298        flattened_schema = flatten_schema(schema, depth=dict_depth(schema) - 1)
-299
-300        normalized_mapping: t.Dict = {}
-301        for keys in flattened_schema:
-302            columns = nested_get(schema, *zip(keys, keys))
-303            assert columns is not None
-304
-305            normalized_keys = [self._normalize_name(key, dialect=self.dialect) for key in keys]
-306            for column_name, column_type in columns.items():
-307                nested_set(
-308                    normalized_mapping,
-309                    normalized_keys + [self._normalize_name(column_name, dialect=self.dialect)],
-310                    column_type,
-311                )
-312
-313        return normalized_mapping
-314
-315    def _normalize_table(self, table: exp.Table, dialect: DialectType = None) -> exp.Table:
-316        normalized_table = table.copy()
-317
-318        for arg in TABLE_ARGS:
-319            value = normalized_table.args.get(arg)
-320            if isinstance(value, (str, exp.Identifier)):
-321                normalized_table.set(arg, self._normalize_name(value, dialect=dialect))
-322
-323        return normalized_table
-324
-325    def _normalize_name(self, name: str | exp.Identifier, dialect: DialectType = None) -> str:
-326        dialect = dialect or self.dialect
-327
-328        try:
-329            identifier = sqlglot.maybe_parse(name, dialect=dialect, into=exp.Identifier)
-330        except ParseError:
-331            return name if isinstance(name, str) else name.name
-332
-333        return identifier.name if identifier.quoted else identifier.name.lower()
-334
-335    def _depth(self) -> int:
-336        # The columns themselves are a mapping, but we don't want to include those
-337        return super()._depth() - 1
-338
-339    def _ensure_table(self, table: exp.Table | str, dialect: DialectType = None) -> exp.Table:
-340        if isinstance(table, exp.Table):
-341            return table
-342
-343        dialect = dialect or self.dialect
-344        parsed_table = sqlglot.parse_one(table, read=dialect, into=exp.Table)
-345
-346        if not parsed_table:
-347            in_dialect = f" in dialect {dialect}" if dialect else ""
-348            raise SchemaError(f"Failed to parse table '{table}'{in_dialect}.")
-349
-350        return parsed_table
-351
-352    def _to_data_type(self, schema_type: str, dialect: DialectType = None) -> exp.DataType:
-353        """
-354        Convert a type represented as a string to the corresponding `sqlglot.exp.DataType` object.
-355
-356        Args:
-357            schema_type: the type we want to convert.
-358            dialect: the SQL dialect that will be used to parse `schema_type`, if needed.
-359
-360        Returns:
-361            The resulting expression type.
-362        """
-363        if schema_type not in self._type_mapping_cache:
-364            dialect = dialect or self.dialect
-365
-366            try:
-367                expression = exp.DataType.build(schema_type, dialect=dialect)
-368                self._type_mapping_cache[schema_type] = expression
-369            except AttributeError:
-370                in_dialect = f" in dialect {dialect}" if dialect else ""
-371                raise SchemaError(f"Failed to build type '{schema_type}'{in_dialect}.")
-372
-373        return self._type_mapping_cache[schema_type]
+            
    162class MappingSchema(AbstractMappingSchema[t.Dict[str, str]], Schema):
+163    """
+164    Schema based on a nested mapping.
+165
+166    Args:
+167        schema: Mapping in one of the following forms:
+168            1. {table: {col: type}}
+169            2. {db: {table: {col: type}}}
+170            3. {catalog: {db: {table: {col: type}}}}
+171            4. None - Tables will be added later
+172        visible: Optional mapping of which columns in the schema are visible. If not provided, all columns
+173            are assumed to be visible. The nesting should mirror that of the schema:
+174            1. {table: set(*cols)}}
+175            2. {db: {table: set(*cols)}}}
+176            3. {catalog: {db: {table: set(*cols)}}}}
+177        dialect: The dialect to be used for custom type mappings & parsing string arguments.
+178    """
+179
+180    def __init__(
+181        self,
+182        schema: t.Optional[t.Dict] = None,
+183        visible: t.Optional[t.Dict] = None,
+184        dialect: DialectType = None,
+185    ) -> None:
+186        self.dialect = dialect
+187        self.visible = visible or {}
+188        self._type_mapping_cache: t.Dict[str, exp.DataType] = {}
+189
+190        super().__init__(self._normalize(schema or {}))
+191
+192    @classmethod
+193    def from_mapping_schema(cls, mapping_schema: MappingSchema) -> MappingSchema:
+194        return MappingSchema(
+195            schema=mapping_schema.mapping,
+196            visible=mapping_schema.visible,
+197            dialect=mapping_schema.dialect,
+198        )
+199
+200    def copy(self, **kwargs) -> MappingSchema:
+201        return MappingSchema(
+202            **{  # type: ignore
+203                "schema": self.mapping.copy(),
+204                "visible": self.visible.copy(),
+205                "dialect": self.dialect,
+206                **kwargs,
+207            }
+208        )
+209
+210    def add_table(
+211        self,
+212        table: exp.Table | str,
+213        column_mapping: t.Optional[ColumnMapping] = None,
+214        dialect: DialectType = None,
+215    ) -> None:
+216        """
+217        Register or update a table. Updates are only performed if a new column mapping is provided.
+218
+219        Args:
+220            table: the `Table` expression instance or string representing the table.
+221            column_mapping: a column mapping that describes the structure of the table.
+222            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+223        """
+224        normalized_table = self._normalize_table(
+225            self._ensure_table(table, dialect=dialect), dialect=dialect
+226        )
+227        normalized_column_mapping = {
+228            self._normalize_name(key, dialect=dialect): value
+229            for key, value in ensure_column_mapping(column_mapping).items()
+230        }
+231
+232        schema = self.find(normalized_table, raise_on_missing=False)
+233        if schema and not normalized_column_mapping:
+234            return
+235
+236        parts = self.table_parts(normalized_table)
+237
+238        nested_set(self.mapping, tuple(reversed(parts)), normalized_column_mapping)
+239        new_trie([parts], self.mapping_trie)
+240
+241    def column_names(
+242        self,
+243        table: exp.Table | str,
+244        only_visible: bool = False,
+245        dialect: DialectType = None,
+246    ) -> t.List[str]:
+247        normalized_table = self._normalize_table(
+248            self._ensure_table(table, dialect=dialect), dialect=dialect
+249        )
+250
+251        schema = self.find(normalized_table)
+252        if schema is None:
+253            return []
+254
+255        if not only_visible or not self.visible:
+256            return list(schema)
+257
+258        visible = self.nested_get(self.table_parts(normalized_table), self.visible) or []
+259        return [col for col in schema if col in visible]
+260
+261    def get_column_type(
+262        self,
+263        table: exp.Table | str,
+264        column: exp.Column,
+265        dialect: DialectType = None,
+266    ) -> exp.DataType:
+267        normalized_table = self._normalize_table(
+268            self._ensure_table(table, dialect=dialect), dialect=dialect
+269        )
+270        normalized_column_name = self._normalize_name(
+271            column if isinstance(column, str) else column.this, dialect=dialect
+272        )
+273
+274        table_schema = self.find(normalized_table, raise_on_missing=False)
+275        if table_schema:
+276            column_type = table_schema.get(normalized_column_name)
+277
+278            if isinstance(column_type, exp.DataType):
+279                return column_type
+280            elif isinstance(column_type, str):
+281                return self._to_data_type(column_type.upper(), dialect=dialect)
+282
+283            raise SchemaError(f"Unknown column type '{column_type}'")
+284
+285        return exp.DataType.build("unknown")
+286
+287    def _normalize(self, schema: t.Dict) -> t.Dict:
+288        """
+289        Converts all identifiers in the schema into lowercase, unless they're quoted.
+290
+291        Args:
+292            schema: the schema to normalize.
+293
+294        Returns:
+295            The normalized schema mapping.
+296        """
+297        flattened_schema = flatten_schema(schema, depth=dict_depth(schema) - 1)
+298
+299        normalized_mapping: t.Dict = {}
+300        for keys in flattened_schema:
+301            columns = nested_get(schema, *zip(keys, keys))
+302            assert columns is not None
+303
+304            normalized_keys = [self._normalize_name(key, dialect=self.dialect) for key in keys]
+305            for column_name, column_type in columns.items():
+306                nested_set(
+307                    normalized_mapping,
+308                    normalized_keys + [self._normalize_name(column_name, dialect=self.dialect)],
+309                    column_type,
+310                )
+311
+312        return normalized_mapping
+313
+314    def _normalize_table(self, table: exp.Table, dialect: DialectType = None) -> exp.Table:
+315        normalized_table = table.copy()
+316
+317        for arg in TABLE_ARGS:
+318            value = normalized_table.args.get(arg)
+319            if isinstance(value, (str, exp.Identifier)):
+320                normalized_table.set(arg, self._normalize_name(value, dialect=dialect))
+321
+322        return normalized_table
+323
+324    def _normalize_name(self, name: str | exp.Identifier, dialect: DialectType = None) -> str:
+325        dialect = dialect or self.dialect
+326
+327        try:
+328            identifier = sqlglot.maybe_parse(name, dialect=dialect, into=exp.Identifier)
+329        except ParseError:
+330            return name if isinstance(name, str) else name.name
+331
+332        return identifier.name if identifier.quoted else identifier.name.lower()
+333
+334    def _depth(self) -> int:
+335        # The columns themselves are a mapping, but we don't want to include those
+336        return super()._depth() - 1
+337
+338    def _ensure_table(self, table: exp.Table | str, dialect: DialectType = None) -> exp.Table:
+339        if isinstance(table, exp.Table):
+340            return table
+341
+342        dialect = dialect or self.dialect
+343        parsed_table = sqlglot.parse_one(table, read=dialect, into=exp.Table)
+344
+345        if not parsed_table:
+346            in_dialect = f" in dialect {dialect}" if dialect else ""
+347            raise SchemaError(f"Failed to parse table '{table}'{in_dialect}.")
+348
+349        return parsed_table
+350
+351    def _to_data_type(self, schema_type: str, dialect: DialectType = None) -> exp.DataType:
+352        """
+353        Convert a type represented as a string to the corresponding `sqlglot.exp.DataType` object.
+354
+355        Args:
+356            schema_type: the type we want to convert.
+357            dialect: the SQL dialect that will be used to parse `schema_type`, if needed.
+358
+359        Returns:
+360            The resulting expression type.
+361        """
+362        if schema_type not in self._type_mapping_cache:
+363            dialect = dialect or self.dialect
+364
+365            try:
+366                expression = exp.DataType.build(schema_type, dialect=dialect)
+367                self._type_mapping_cache[schema_type] = expression
+368            except AttributeError:
+369                in_dialect = f" in dialect {dialect}" if dialect else ""
+370                raise SchemaError(f"Failed to build type '{schema_type}'{in_dialect}.")
+371
+372        return self._type_mapping_cache[schema_type]
 
    
 
 
@@ -1343,17 +1342,17 @@ 
    Arguments:
    
 
     
    
     
-            
    181    def __init__(
-182        self,
-183        schema: t.Optional[t.Dict] = None,
-184        visible: t.Optional[t.Dict] = None,
-185        dialect: DialectType = None,
-186    ) -> None:
-187        self.dialect = dialect
-188        self.visible = visible or {}
-189        self._type_mapping_cache: t.Dict[str, exp.DataType] = {}
-190
-191        super().__init__(self._normalize(schema or {}))
+            
    180    def __init__(
+181        self,
+182        schema: t.Optional[t.Dict] = None,
+183        visible: t.Optional[t.Dict] = None,
+184        dialect: DialectType = None,
+185    ) -> None:
+186        self.dialect = dialect
+187        self.visible = visible or {}
+188        self._type_mapping_cache: t.Dict[str, exp.DataType] = {}
+189
+190        super().__init__(self._normalize(schema or {}))
 
    
 
 
@@ -1372,13 +1371,13 @@ 
    Arguments:
    
 
     
    
     
-            
    193    @classmethod
-194    def from_mapping_schema(cls, mapping_schema: MappingSchema) -> MappingSchema:
-195        return MappingSchema(
-196            schema=mapping_schema.mapping,
-197            visible=mapping_schema.visible,
-198            dialect=mapping_schema.dialect,
-199        )
+            
    192    @classmethod
+193    def from_mapping_schema(cls, mapping_schema: MappingSchema) -> MappingSchema:
+194        return MappingSchema(
+195            schema=mapping_schema.mapping,
+196            visible=mapping_schema.visible,
+197            dialect=mapping_schema.dialect,
+198        )
 
    
 
 
@@ -1396,15 +1395,15 @@ 
    Arguments:
    
 
     
    
     
-            
    201    def copy(self, **kwargs) -> MappingSchema:
-202        return MappingSchema(
-203            **{  # type: ignore
-204                "schema": self.mapping.copy(),
-205                "visible": self.visible.copy(),
-206                "dialect": self.dialect,
-207                **kwargs,
-208            }
-209        )
+            
    200    def copy(self, **kwargs) -> MappingSchema:
+201        return MappingSchema(
+202            **{  # type: ignore
+203                "schema": self.mapping.copy(),
+204                "visible": self.visible.copy(),
+205                "dialect": self.dialect,
+206                **kwargs,
+207            }
+208        )
 
    
 
 
@@ -1422,36 +1421,36 @@ 
    Arguments:
    
 
     
    
     
-            
    211    def add_table(
-212        self,
-213        table: exp.Table | str,
-214        column_mapping: t.Optional[ColumnMapping] = None,
-215        dialect: DialectType = None,
-216    ) -> None:
-217        """
-218        Register or update a table. Updates are only performed if a new column mapping is provided.
-219
-220        Args:
-221            table: the `Table` expression instance or string representing the table.
-222            column_mapping: a column mapping that describes the structure of the table.
-223            dialect: the SQL dialect that will be used to parse `table` if it's a string.
-224        """
-225        normalized_table = self._normalize_table(
-226            self._ensure_table(table, dialect=dialect), dialect=dialect
-227        )
-228        normalized_column_mapping = {
-229            self._normalize_name(key, dialect=dialect): value
-230            for key, value in ensure_column_mapping(column_mapping).items()
-231        }
-232
-233        schema = self.find(normalized_table, raise_on_missing=False)
-234        if schema and not normalized_column_mapping:
-235            return
-236
-237        parts = self.table_parts(normalized_table)
-238
-239        nested_set(self.mapping, tuple(reversed(parts)), normalized_column_mapping)
-240        new_trie([parts], self.mapping_trie)
+            
    210    def add_table(
+211        self,
+212        table: exp.Table | str,
+213        column_mapping: t.Optional[ColumnMapping] = None,
+214        dialect: DialectType = None,
+215    ) -> None:
+216        """
+217        Register or update a table. Updates are only performed if a new column mapping is provided.
+218
+219        Args:
+220            table: the `Table` expression instance or string representing the table.
+221            column_mapping: a column mapping that describes the structure of the table.
+222            dialect: the SQL dialect that will be used to parse `table` if it's a string.
+223        """
+224        normalized_table = self._normalize_table(
+225            self._ensure_table(table, dialect=dialect), dialect=dialect
+226        )
+227        normalized_column_mapping = {
+228            self._normalize_name(key, dialect=dialect): value
+229            for key, value in ensure_column_mapping(column_mapping).items()
+230        }
+231
+232        schema = self.find(normalized_table, raise_on_missing=False)
+233        if schema and not normalized_column_mapping:
+234            return
+235
+236        parts = self.table_parts(normalized_table)
+237
+238        nested_set(self.mapping, tuple(reversed(parts)), normalized_column_mapping)
+239        new_trie([parts], self.mapping_trie)
 
    
 
 
@@ -1479,25 +1478,25 @@ 
    Arguments:
    
 
     
    
     
-            
    242    def column_names(
-243        self,
-244        table: exp.Table | str,
-245        only_visible: bool = False,
-246        dialect: DialectType = None,
-247    ) -> t.List[str]:
-248        normalized_table = self._normalize_table(
-249            self._ensure_table(table, dialect=dialect), dialect=dialect
-250        )
-251
-252        schema = self.find(normalized_table)
-253        if schema is None:
-254            return []
-255
-256        if not only_visible or not self.visible:
-257            return list(schema)
-258
-259        visible = self.nested_get(self.table_parts(normalized_table), self.visible) or []
-260        return [col for col in schema if col in visible]
+            
    241    def column_names(
+242        self,
+243        table: exp.Table | str,
+244        only_visible: bool = False,
+245        dialect: DialectType = None,
+246    ) -> t.List[str]:
+247        normalized_table = self._normalize_table(
+248            self._ensure_table(table, dialect=dialect), dialect=dialect
+249        )
+250
+251        schema = self.find(normalized_table)
+252        if schema is None:
+253            return []
+254
+255        if not only_visible or not self.visible:
+256            return list(schema)
+257
+258        visible = self.nested_get(self.table_parts(normalized_table), self.visible) or []
+259        return [col for col in schema if col in visible]
 
    
 
 
@@ -1531,31 +1530,31 @@ 
    Returns:
    
 
     
    
     
-            
    262    def get_column_type(
-263        self,
-264        table: exp.Table | str,
-265        column: exp.Column,
-266        dialect: DialectType = None,
-267    ) -> exp.DataType:
-268        normalized_table = self._normalize_table(
-269            self._ensure_table(table, dialect=dialect), dialect=dialect
-270        )
-271        normalized_column_name = self._normalize_name(
-272            column if isinstance(column, str) else column.this, dialect=dialect
-273        )
-274
-275        table_schema = self.find(normalized_table, raise_on_missing=False)
-276        if table_schema:
-277            column_type = table_schema.get(normalized_column_name)
-278
-279            if isinstance(column_type, exp.DataType):
-280                return column_type
-281            elif isinstance(column_type, str):
-282                return self._to_data_type(column_type.upper(), dialect=dialect)
-283
-284            raise SchemaError(f"Unknown column type '{column_type}'")
-285
-286        return exp.DataType.build("unknown")
+            
    261    def get_column_type(
+262        self,
+263        table: exp.Table | str,
+264        column: exp.Column,
+265        dialect: DialectType = None,
+266    ) -> exp.DataType:
+267        normalized_table = self._normalize_table(
+268            self._ensure_table(table, dialect=dialect), dialect=dialect
+269        )
+270        normalized_column_name = self._normalize_name(
+271            column if isinstance(column, str) else column.this, dialect=dialect
+272        )
+273
+274        table_schema = self.find(normalized_table, raise_on_missing=False)
+275        if table_schema:
+276            column_type = table_schema.get(normalized_column_name)
+277
+278            if isinstance(column_type, exp.DataType):
+279                return column_type
+280            elif isinstance(column_type, str):
+281                return self._to_data_type(column_type.upper(), dialect=dialect)
+282
+283            raise SchemaError(f"Unknown column type '{column_type}'")
+284
+285        return exp.DataType.build("unknown")
 
    
 
 
@@ -1603,11 +1602,11 @@ 
    Inherited Members
    
 
     
    
     
-            
    376def ensure_schema(schema: t.Any, dialect: DialectType = None) -> Schema:
-377    if isinstance(schema, Schema):
-378        return schema
-379
-380    return MappingSchema(schema, dialect=dialect)
+            
    375def ensure_schema(schema: t.Any, dialect: DialectType = None) -> Schema:
+376    if isinstance(schema, Schema):
+377        return schema
+378
+379    return MappingSchema(schema, dialect=dialect)
 
    
 
 
@@ -1625,24 +1624,24 @@ 
    Inherited Members
    
 
     
    
     
-            
    383def ensure_column_mapping(mapping: t.Optional[ColumnMapping]) -> t.Dict:
-384    if mapping is None:
-385        return {}
-386    elif isinstance(mapping, dict):
-387        return mapping
-388    elif isinstance(mapping, str):
-389        col_name_type_strs = [x.strip() for x in mapping.split(",")]
-390        return {
-391            name_type_str.split(":")[0].strip(): name_type_str.split(":")[1].strip()
-392            for name_type_str in col_name_type_strs
-393        }
-394    # Check if mapping looks like a DataFrame StructType
-395    elif hasattr(mapping, "simpleString"):
-396        return {struct_field.name: struct_field.dataType.simpleString() for struct_field in mapping}
-397    elif isinstance(mapping, list):
-398        return {x.strip(): None for x in mapping}
-399
-400    raise ValueError(f"Invalid mapping provided: {type(mapping)}")
+            
    382def ensure_column_mapping(mapping: t.Optional[ColumnMapping]) -> t.Dict:
+383    if mapping is None:
+384        return {}
+385    elif isinstance(mapping, dict):
+386        return mapping
+387    elif isinstance(mapping, str):
+388        col_name_type_strs = [x.strip() for x in mapping.split(",")]
+389        return {
+390            name_type_str.split(":")[0].strip(): name_type_str.split(":")[1].strip()
+391            for name_type_str in col_name_type_strs
+392        }
+393    # Check if mapping looks like a DataFrame StructType
+394    elif hasattr(mapping, "simpleString"):
+395        return {struct_field.name: struct_field.dataType.simpleString() for struct_field in mapping}
+396    elif isinstance(mapping, list):
+397        return {x.strip(): None for x in mapping}
+398
+399    raise ValueError(f"Invalid mapping provided: {type(mapping)}")
 
    
 
 
@@ -1660,19 +1659,19 @@ 
    Inherited Members
    
 
     
    
     
-            
    403def flatten_schema(
-404    schema: t.Dict, depth: int, keys: t.Optional[t.List[str]] = None
-405) -> t.List[t.List[str]]:
-406    tables = []
-407    keys = keys or []
-408
-409    for k, v in schema.items():
-410        if depth >= 2:
-411            tables.extend(flatten_schema(v, depth - 1, keys + [k]))
-412        elif depth == 1:
-413            tables.append(keys + [k])
-414
-415    return tables
+            
    402def flatten_schema(
+403    schema: t.Dict, depth: int, keys: t.Optional[t.List[str]] = None
+404) -> t.List[t.List[str]]:
+405    tables = []
+406    keys = keys or []
+407
+408    for k, v in schema.items():
+409        if depth >= 2:
+410            tables.extend(flatten_schema(v, depth - 1, keys + [k]))
+411        elif depth == 1:
+412            tables.append(keys + [k])
+413
+414    return tables
 
    
 
 
@@ -1690,30 +1689,30 @@ 
    Inherited Members
    
 
     
    
     
-            
    418def nested_get(
-419    d: t.Dict, *path: t.Tuple[str, str], raise_on_missing: bool = True
-420) -> t.Optional[t.Any]:
-421    """
-422    Get a value for a nested dictionary.
-423
-424    Args:
-425        d: the dictionary to search.
-426        *path: tuples of (name, key), where:
-427            `key` is the key in the dictionary to get.
-428            `name` is a string to use in the error if `key` isn't found.
-429
-430    Returns:
-431        The value or None if it doesn't exist.
-432    """
-433    for name, key in path:
-434        d = d.get(key)  # type: ignore
-435        if d is None:
-436            if raise_on_missing:
-437                name = "table" if name == "this" else name
-438                raise ValueError(f"Unknown {name}: {key}")
-439            return None
-440
-441    return d
+            
    417def nested_get(
+418    d: t.Dict, *path: t.Tuple[str, str], raise_on_missing: bool = True
+419) -> t.Optional[t.Any]:
+420    """
+421    Get a value for a nested dictionary.
+422
+423    Args:
+424        d: the dictionary to search.
+425        *path: tuples of (name, key), where:
+426            `key` is the key in the dictionary to get.
+427            `name` is a string to use in the error if `key` isn't found.
+428
+429    Returns:
+430        The value or None if it doesn't exist.
+431    """
+432    for name, key in path:
+433        d = d.get(key)  # type: ignore
+434        if d is None:
+435            if raise_on_missing:
+436                name = "table" if name == "this" else name
+437                raise ValueError(f"Unknown {name}: {key}")
+438            return None
+439
+440    return d
 
    
 
 
@@ -1748,41 +1747,41 @@ 
    Returns:
    
 
     
    
     
-            
    444def nested_set(d: t.Dict, keys: t.Sequence[str], value: t.Any) -> t.Dict:
-445    """
-446    In-place set a value for a nested dictionary
-447
-448    Example:
-449        >>> nested_set({}, ["top_key", "second_key"], "value")
-450        {'top_key': {'second_key': 'value'}}
-451
-452        >>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")
-453        {'top_key': {'third_key': 'third_value', 'second_key': 'value'}}
-454
-455    Args:
-456        d: dictionary to update.
-457        keys: the keys that makeup the path to `value`.
-458        value: the value to set in the dictionary for the given key path.
-459
-460    Returns:
-461        The (possibly) updated dictionary.
-462    """
-463    if not keys:
-464        return d
-465
-466    if len(keys) == 1:
-467        d[keys[0]] = value
-468        return d
-469
-470    subd = d
-471    for key in keys[:-1]:
-472        if key not in subd:
-473            subd = subd.setdefault(key, {})
-474        else:
-475            subd = subd[key]
-476
-477    subd[keys[-1]] = value
-478    return d
+            
    443def nested_set(d: t.Dict, keys: t.Sequence[str], value: t.Any) -> t.Dict:
+444    """
+445    In-place set a value for a nested dictionary
+446
+447    Example:
+448        >>> nested_set({}, ["top_key", "second_key"], "value")
+449        {'top_key': {'second_key': 'value'}}
+450
+451        >>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")
+452        {'top_key': {'third_key': 'third_value', 'second_key': 'value'}}
+453
+454    Args:
+455        d: dictionary to update.
+456        keys: the keys that makeup the path to `value`.
+457        value: the value to set in the dictionary for the given key path.
+458
+459    Returns:
+460        The (possibly) updated dictionary.
+461    """
+462    if not keys:
+463        return d
+464
+465    if len(keys) == 1:
+466        d[keys[0]] = value
+467        return d
+468
+469    subd = d
+470    for key in keys[:-1]:
+471        if key not in subd:
+472            subd = subd.setdefault(key, {})
+473        else:
+474            subd = subd[key]
+475
+476    subd[keys[-1]] = value
+477    return d
 
    
 
 
diff --git a/docs/sqlglot/tokens.html b/docs/sqlglot/tokens.html
index a8a7240a4a..a622c55d22 100644
--- a/docs/sqlglot/tokens.html
+++ b/docs/sqlglot/tokens.html
@@ -162,9 +162,6 @@ 
    API Documentation
    
                         
  • 
                                 SESSION_PARAMETER
                         
    • 
-                        
  • 
-                                NATIONAL
-                        
    • 
                         
  • 
                                 DAMP
                         
    • 
@@ -216,6 +213,12 @@ 
    API Documentation
    
                         
  • 
                                 BYTE_STRING
                         
    • 
+                        
  • 
+                                NATIONAL_STRING
+                        
    • 
+                        
  • 
+                                RAW_STRING
+                        
    • 
                         
  • 
                                 BIT
                         
    • 
@@ -964,1061 +967,1058 @@ 
    
   51    DOLLAR = auto()
   52    PARAMETER = auto()
   53    SESSION_PARAMETER = auto()
-  54    NATIONAL = auto()
-  55    DAMP = auto()
-  56
-  57    BLOCK_START = auto()
-  58    BLOCK_END = auto()
-  59
-  60    SPACE = auto()
-  61    BREAK = auto()
-  62
-  63    STRING = auto()
-  64    NUMBER = auto()
-  65    IDENTIFIER = auto()
-  66    DATABASE = auto()
-  67    COLUMN = auto()
-  68    COLUMN_DEF = auto()
-  69    SCHEMA = auto()
-  70    TABLE = auto()
-  71    VAR = auto()
-  72    BIT_STRING = auto()
-  73    HEX_STRING = auto()
-  74    BYTE_STRING = auto()
-  75
-  76    # types
-  77    BIT = auto()
-  78    BOOLEAN = auto()
-  79    TINYINT = auto()
-  80    UTINYINT = auto()
-  81    SMALLINT = auto()
-  82    USMALLINT = auto()
-  83    INT = auto()
-  84    UINT = auto()
-  85    BIGINT = auto()
-  86    UBIGINT = auto()
-  87    INT128 = auto()
-  88    UINT128 = auto()
-  89    INT256 = auto()
-  90    UINT256 = auto()
-  91    FLOAT = auto()
-  92    DOUBLE = auto()
-  93    DECIMAL = auto()
-  94    BIGDECIMAL = auto()
-  95    CHAR = auto()
-  96    NCHAR = auto()
-  97    VARCHAR = auto()
-  98    NVARCHAR = auto()
-  99    TEXT = auto()
- 100    MEDIUMTEXT = auto()
- 101    LONGTEXT = auto()
- 102    MEDIUMBLOB = auto()
- 103    LONGBLOB = auto()
- 104    BINARY = auto()
- 105    VARBINARY = auto()
- 106    JSON = auto()
- 107    JSONB = auto()
- 108    TIME = auto()
- 109    TIMESTAMP = auto()
- 110    TIMESTAMPTZ = auto()
- 111    TIMESTAMPLTZ = auto()
- 112    DATETIME = auto()
- 113    DATETIME64 = auto()
- 114    DATE = auto()
- 115    UUID = auto()
- 116    GEOGRAPHY = auto()
- 117    NULLABLE = auto()
- 118    GEOMETRY = auto()
- 119    HLLSKETCH = auto()
- 120    HSTORE = auto()
- 121    SUPER = auto()
- 122    SERIAL = auto()
- 123    SMALLSERIAL = auto()
- 124    BIGSERIAL = auto()
- 125    XML = auto()
- 126    UNIQUEIDENTIFIER = auto()
- 127    MONEY = auto()
- 128    SMALLMONEY = auto()
- 129    ROWVERSION = auto()
- 130    IMAGE = auto()
- 131    VARIANT = auto()
- 132    OBJECT = auto()
- 133    INET = auto()
- 134
- 135    # keywords
- 136    ALIAS = auto()
- 137    ALTER = auto()
- 138    ALWAYS = auto()
- 139    ALL = auto()
- 140    ANTI = auto()
- 141    ANY = auto()
- 142    APPLY = auto()
- 143    ARRAY = auto()
- 144    ASC = auto()
- 145    ASOF = auto()
- 146    AUTO_INCREMENT = auto()
- 147    BEGIN = auto()
- 148    BETWEEN = auto()
- 149    CACHE = auto()
- 150    CASE = auto()
- 151    CHARACTER_SET = auto()
- 152    COLLATE = auto()
- 153    COMMAND = auto()
- 154    COMMENT = auto()
- 155    COMMIT = auto()
- 156    CONSTRAINT = auto()
- 157    CREATE = auto()
- 158    CROSS = auto()
- 159    CUBE = auto()
- 160    CURRENT_DATE = auto()
- 161    CURRENT_DATETIME = auto()
- 162    CURRENT_TIME = auto()
- 163    CURRENT_TIMESTAMP = auto()
- 164    CURRENT_USER = auto()
- 165    DEFAULT = auto()
- 166    DELETE = auto()
- 167    DESC = auto()
- 168    DESCRIBE = auto()
- 169    DISTINCT = auto()
- 170    DIV = auto()
- 171    DROP = auto()
- 172    ELSE = auto()
- 173    END = auto()
- 174    ESCAPE = auto()
- 175    EXCEPT = auto()
- 176    EXECUTE = auto()
- 177    EXISTS = auto()
- 178    FALSE = auto()
- 179    FETCH = auto()
- 180    FILTER = auto()
- 181    FINAL = auto()
- 182    FIRST = auto()
- 183    FOR = auto()
- 184    FOREIGN_KEY = auto()
- 185    FORMAT = auto()
- 186    FROM = auto()
- 187    FULL = auto()
- 188    FUNCTION = auto()
- 189    GLOB = auto()
- 190    GLOBAL = auto()
- 191    GROUP_BY = auto()
- 192    GROUPING_SETS = auto()
- 193    HAVING = auto()
- 194    HINT = auto()
- 195    IF = auto()
- 196    ILIKE = auto()
- 197    ILIKE_ANY = auto()
- 198    IN = auto()
- 199    INDEX = auto()
- 200    INNER = auto()
- 201    INSERT = auto()
- 202    INTERSECT = auto()
- 203    INTERVAL = auto()
- 204    INTO = auto()
- 205    INTRODUCER = auto()
- 206    IRLIKE = auto()
- 207    IS = auto()
- 208    ISNULL = auto()
- 209    JOIN = auto()
- 210    JOIN_MARKER = auto()
- 211    KEEP = auto()
- 212    LANGUAGE = auto()
- 213    LATERAL = auto()
- 214    LEFT = auto()
- 215    LIKE = auto()
- 216    LIKE_ANY = auto()
- 217    LIMIT = auto()
- 218    LOAD = auto()
- 219    LOCK = auto()
- 220    MAP = auto()
- 221    MATCH_RECOGNIZE = auto()
- 222    MERGE = auto()
- 223    MOD = auto()
- 224    NATURAL = auto()
- 225    NEXT = auto()
- 226    NEXT_VALUE_FOR = auto()
- 227    NOTNULL = auto()
- 228    NULL = auto()
- 229    OFFSET = auto()
- 230    ON = auto()
- 231    ORDER_BY = auto()
- 232    ORDERED = auto()
- 233    ORDINALITY = auto()
- 234    OUTER = auto()
- 235    OVER = auto()
- 236    OVERLAPS = auto()
- 237    OVERWRITE = auto()
- 238    PARTITION = auto()
- 239    PARTITION_BY = auto()
- 240    PERCENT = auto()
- 241    PIVOT = auto()
- 242    PLACEHOLDER = auto()
- 243    PRAGMA = auto()
- 244    PRIMARY_KEY = auto()
- 245    PROCEDURE = auto()
- 246    PROPERTIES = auto()
- 247    PSEUDO_TYPE = auto()
- 248    QUALIFY = auto()
- 249    QUOTE = auto()
- 250    RANGE = auto()
- 251    RECURSIVE = auto()
- 252    REPLACE = auto()
- 253    RETURNING = auto()
- 254    REFERENCES = auto()
- 255    RIGHT = auto()
- 256    RLIKE = auto()
- 257    ROLLBACK = auto()
- 258    ROLLUP = auto()
- 259    ROW = auto()
- 260    ROWS = auto()
- 261    SELECT = auto()
- 262    SEMI = auto()
- 263    SEPARATOR = auto()
- 264    SERDE_PROPERTIES = auto()
- 265    SET = auto()
- 266    SETTINGS = auto()
- 267    SHOW = auto()
- 268    SIMILAR_TO = auto()
- 269    SOME = auto()
- 270    STRUCT = auto()
- 271    TABLE_SAMPLE = auto()
- 272    TEMPORARY = auto()
- 273    TOP = auto()
- 274    THEN = auto()
- 275    TRUE = auto()
- 276    UNCACHE = auto()
- 277    UNION = auto()
- 278    UNNEST = auto()
- 279    UNPIVOT = auto()
- 280    UPDATE = auto()
- 281    USE = auto()
- 282    USING = auto()
- 283    VALUES = auto()
- 284    VIEW = auto()
- 285    VOLATILE = auto()
- 286    WHEN = auto()
- 287    WHERE = auto()
- 288    WINDOW = auto()
- 289    WITH = auto()
- 290    UNIQUE = auto()
- 291
+  54    DAMP = auto()
+  55
+  56    BLOCK_START = auto()
+  57    BLOCK_END = auto()
+  58
+  59    SPACE = auto()
+  60    BREAK = auto()
+  61
+  62    STRING = auto()
+  63    NUMBER = auto()
+  64    IDENTIFIER = auto()
+  65    DATABASE = auto()
+  66    COLUMN = auto()
+  67    COLUMN_DEF = auto()
+  68    SCHEMA = auto()
+  69    TABLE = auto()
+  70    VAR = auto()
+  71    BIT_STRING = auto()
+  72    HEX_STRING = auto()
+  73    BYTE_STRING = auto()
+  74    NATIONAL_STRING = auto()
+  75    RAW_STRING = auto()
+  76
+  77    # types
+  78    BIT = auto()
+  79    BOOLEAN = auto()
+  80    TINYINT = auto()
+  81    UTINYINT = auto()
+  82    SMALLINT = auto()
+  83    USMALLINT = auto()
+  84    INT = auto()
+  85    UINT = auto()
+  86    BIGINT = auto()
+  87    UBIGINT = auto()
+  88    INT128 = auto()
+  89    UINT128 = auto()
+  90    INT256 = auto()
+  91    UINT256 = auto()
+  92    FLOAT = auto()
+  93    DOUBLE = auto()
+  94    DECIMAL = auto()
+  95    BIGDECIMAL = auto()
+  96    CHAR = auto()
+  97    NCHAR = auto()
+  98    VARCHAR = auto()
+  99    NVARCHAR = auto()
+ 100    TEXT = auto()
+ 101    MEDIUMTEXT = auto()
+ 102    LONGTEXT = auto()
+ 103    MEDIUMBLOB = auto()
+ 104    LONGBLOB = auto()
+ 105    BINARY = auto()
+ 106    VARBINARY = auto()
+ 107    JSON = auto()
+ 108    JSONB = auto()
+ 109    TIME = auto()
+ 110    TIMESTAMP = auto()
+ 111    TIMESTAMPTZ = auto()
+ 112    TIMESTAMPLTZ = auto()
+ 113    DATETIME = auto()
+ 114    DATETIME64 = auto()
+ 115    DATE = auto()
+ 116    UUID = auto()
+ 117    GEOGRAPHY = auto()
+ 118    NULLABLE = auto()
+ 119    GEOMETRY = auto()
+ 120    HLLSKETCH = auto()
+ 121    HSTORE = auto()
+ 122    SUPER = auto()
+ 123    SERIAL = auto()
+ 124    SMALLSERIAL = auto()
+ 125    BIGSERIAL = auto()
+ 126    XML = auto()
+ 127    UNIQUEIDENTIFIER = auto()
+ 128    MONEY = auto()
+ 129    SMALLMONEY = auto()
+ 130    ROWVERSION = auto()
+ 131    IMAGE = auto()
+ 132    VARIANT = auto()
+ 133    OBJECT = auto()
+ 134    INET = auto()
+ 135
+ 136    # keywords
+ 137    ALIAS = auto()
+ 138    ALTER = auto()
+ 139    ALWAYS = auto()
+ 140    ALL = auto()
+ 141    ANTI = auto()
+ 142    ANY = auto()
+ 143    APPLY = auto()
+ 144    ARRAY = auto()
+ 145    ASC = auto()
+ 146    ASOF = auto()
+ 147    AUTO_INCREMENT = auto()
+ 148    BEGIN = auto()
+ 149    BETWEEN = auto()
+ 150    CACHE = auto()
+ 151    CASE = auto()
+ 152    CHARACTER_SET = auto()
+ 153    COLLATE = auto()
+ 154    COMMAND = auto()
+ 155    COMMENT = auto()
+ 156    COMMIT = auto()
+ 157    CONSTRAINT = auto()
+ 158    CREATE = auto()
+ 159    CROSS = auto()
+ 160    CUBE = auto()
+ 161    CURRENT_DATE = auto()
+ 162    CURRENT_DATETIME = auto()
+ 163    CURRENT_TIME = auto()
+ 164    CURRENT_TIMESTAMP = auto()
+ 165    CURRENT_USER = auto()
+ 166    DEFAULT = auto()
+ 167    DELETE = auto()
+ 168    DESC = auto()
+ 169    DESCRIBE = auto()
+ 170    DISTINCT = auto()
+ 171    DIV = auto()
+ 172    DROP = auto()
+ 173    ELSE = auto()
+ 174    END = auto()
+ 175    ESCAPE = auto()
+ 176    EXCEPT = auto()
+ 177    EXECUTE = auto()
+ 178    EXISTS = auto()
+ 179    FALSE = auto()
+ 180    FETCH = auto()
+ 181    FILTER = auto()
+ 182    FINAL = auto()
+ 183    FIRST = auto()
+ 184    FOR = auto()
+ 185    FOREIGN_KEY = auto()
+ 186    FORMAT = auto()
+ 187    FROM = auto()
+ 188    FULL = auto()
+ 189    FUNCTION = auto()
+ 190    GLOB = auto()
+ 191    GLOBAL = auto()
+ 192    GROUP_BY = auto()
+ 193    GROUPING_SETS = auto()
+ 194    HAVING = auto()
+ 195    HINT = auto()
+ 196    IF = auto()
+ 197    ILIKE = auto()
+ 198    ILIKE_ANY = auto()
+ 199    IN = auto()
+ 200    INDEX = auto()
+ 201    INNER = auto()
+ 202    INSERT = auto()
+ 203    INTERSECT = auto()
+ 204    INTERVAL = auto()
+ 205    INTO = auto()
+ 206    INTRODUCER = auto()
+ 207    IRLIKE = auto()
+ 208    IS = auto()
+ 209    ISNULL = auto()
+ 210    JOIN = auto()
+ 211    JOIN_MARKER = auto()
+ 212    KEEP = auto()
+ 213    LANGUAGE = auto()
+ 214    LATERAL = auto()
+ 215    LEFT = auto()
+ 216    LIKE = auto()
+ 217    LIKE_ANY = auto()
+ 218    LIMIT = auto()
+ 219    LOAD = auto()
+ 220    LOCK = auto()
+ 221    MAP = auto()
+ 222    MATCH_RECOGNIZE = auto()
+ 223    MERGE = auto()
+ 224    MOD = auto()
+ 225    NATURAL = auto()
+ 226    NEXT = auto()
+ 227    NEXT_VALUE_FOR = auto()
+ 228    NOTNULL = auto()
+ 229    NULL = auto()
+ 230    OFFSET = auto()
+ 231    ON = auto()
+ 232    ORDER_BY = auto()
+ 233    ORDERED = auto()
+ 234    ORDINALITY = auto()
+ 235    OUTER = auto()
+ 236    OVER = auto()
+ 237    OVERLAPS = auto()
+ 238    OVERWRITE = auto()
+ 239    PARTITION = auto()
+ 240    PARTITION_BY = auto()
+ 241    PERCENT = auto()
+ 242    PIVOT = auto()
+ 243    PLACEHOLDER = auto()
+ 244    PRAGMA = auto()
+ 245    PRIMARY_KEY = auto()
+ 246    PROCEDURE = auto()
+ 247    PROPERTIES = auto()
+ 248    PSEUDO_TYPE = auto()
+ 249    QUALIFY = auto()
+ 250    QUOTE = auto()
+ 251    RANGE = auto()
+ 252    RECURSIVE = auto()
+ 253    REPLACE = auto()
+ 254    RETURNING = auto()
+ 255    REFERENCES = auto()
+ 256    RIGHT = auto()
+ 257    RLIKE = auto()
+ 258    ROLLBACK = auto()
+ 259    ROLLUP = auto()
+ 260    ROW = auto()
+ 261    ROWS = auto()
+ 262    SELECT = auto()
+ 263    SEMI = auto()
+ 264    SEPARATOR = auto()
+ 265    SERDE_PROPERTIES = auto()
+ 266    SET = auto()
+ 267    SETTINGS = auto()
+ 268    SHOW = auto()
+ 269    SIMILAR_TO = auto()
+ 270    SOME = auto()
+ 271    STRUCT = auto()
+ 272    TABLE_SAMPLE = auto()
+ 273    TEMPORARY = auto()
+ 274    TOP = auto()
+ 275    THEN = auto()
+ 276    TRUE = auto()
+ 277    UNCACHE = auto()
+ 278    UNION = auto()
+ 279    UNNEST = auto()
+ 280    UNPIVOT = auto()
+ 281    UPDATE = auto()
+ 282    USE = auto()
+ 283    USING = auto()
+ 284    VALUES = auto()
+ 285    VIEW = auto()
+ 286    VOLATILE = auto()
+ 287    WHEN = auto()
+ 288    WHERE = auto()
+ 289    WINDOW = auto()
+ 290    WITH = auto()
+ 291    UNIQUE = auto()
  292
- 293class Token:
- 294    __slots__ = ("token_type", "text", "line", "col", "start", "end", "comments")
- 295
- 296    @classmethod
- 297    def number(cls, number: int) -> Token:
- 298        """Returns a NUMBER token with `number` as its text."""
- 299        return cls(TokenType.NUMBER, str(number))
- 300
- 301    @classmethod
- 302    def string(cls, string: str) -> Token:
- 303        """Returns a STRING token with `string` as its text."""
- 304        return cls(TokenType.STRING, string)
- 305
- 306    @classmethod
- 307    def identifier(cls, identifier: str) -> Token:
- 308        """Returns an IDENTIFIER token with `identifier` as its text."""
- 309        return cls(TokenType.IDENTIFIER, identifier)
- 310
- 311    @classmethod
- 312    def var(cls, var: str) -> Token:
- 313        """Returns an VAR token with `var` as its text."""
- 314        return cls(TokenType.VAR, var)
- 315
- 316    def __init__(
- 317        self,
- 318        token_type: TokenType,
- 319        text: str,
- 320        line: int = 1,
- 321        col: int = 1,
- 322        start: int = 0,
- 323        end: int = 0,
- 324        comments: t.List[str] = [],
- 325    ) -> None:
- 326        """Token initializer.
- 327
- 328        Args:
- 329            token_type: The TokenType Enum.
- 330            text: The text of the token.
- 331            line: The line that the token ends on.
- 332            col: The column that the token ends on.
- 333            start: The start index of the token.
- 334            end: The ending index of the token.
- 335        """
- 336        self.token_type = token_type
- 337        self.text = text
- 338        self.line = line
- 339        self.col = col
- 340        self.start = start
- 341        self.end = end
- 342        self.comments = comments
- 343
- 344    def __repr__(self) -> str:
- 345        attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__)
- 346        return f"<Token {attributes}>"
- 347
+ 293
+ 294class Token:
+ 295    __slots__ = ("token_type", "text", "line", "col", "start", "end", "comments")
+ 296
+ 297    @classmethod
+ 298    def number(cls, number: int) -> Token:
+ 299        """Returns a NUMBER token with `number` as its text."""
+ 300        return cls(TokenType.NUMBER, str(number))
+ 301
+ 302    @classmethod
+ 303    def string(cls, string: str) -> Token:
+ 304        """Returns a STRING token with `string` as its text."""
+ 305        return cls(TokenType.STRING, string)
+ 306
+ 307    @classmethod
+ 308    def identifier(cls, identifier: str) -> Token:
+ 309        """Returns an IDENTIFIER token with `identifier` as its text."""
+ 310        return cls(TokenType.IDENTIFIER, identifier)
+ 311
+ 312    @classmethod
+ 313    def var(cls, var: str) -> Token:
+ 314        """Returns an VAR token with `var` as its text."""
+ 315        return cls(TokenType.VAR, var)
+ 316
+ 317    def __init__(
+ 318        self,
+ 319        token_type: TokenType,
+ 320        text: str,
+ 321        line: int = 1,
+ 322        col: int = 1,
+ 323        start: int = 0,
+ 324        end: int = 0,
+ 325        comments: t.List[str] = [],
+ 326    ) -> None:
+ 327        """Token initializer.
+ 328
+ 329        Args:
+ 330            token_type: The TokenType Enum.
+ 331            text: The text of the token.
+ 332            line: The line that the token ends on.
+ 333            col: The column that the token ends on.
+ 334            start: The start index of the token.
+ 335            end: The ending index of the token.
+ 336        """
+ 337        self.token_type = token_type
+ 338        self.text = text
+ 339        self.line = line
+ 340        self.col = col
+ 341        self.start = start
+ 342        self.end = end
+ 343        self.comments = comments
+ 344
+ 345    def __repr__(self) -> str:
+ 346        attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__)
+ 347        return f"<Token {attributes}>"
  348
- 349class _Tokenizer(type):
- 350    def __new__(cls, clsname, bases, attrs):
- 351        klass = super().__new__(cls, clsname, bases, attrs)
- 352
- 353        klass._QUOTES = {
- 354            f"{prefix}{s}": e
- 355            for s, e in cls._delimeter_list_to_dict(klass.QUOTES).items()
- 356            for prefix in (("",) if s[0].isalpha() else ("", "n", "N"))
- 357        }
- 358        klass._BIT_STRINGS = cls._delimeter_list_to_dict(klass.BIT_STRINGS)
- 359        klass._HEX_STRINGS = cls._delimeter_list_to_dict(klass.HEX_STRINGS)
- 360        klass._BYTE_STRINGS = cls._delimeter_list_to_dict(klass.BYTE_STRINGS)
- 361        klass._IDENTIFIERS = cls._delimeter_list_to_dict(klass.IDENTIFIERS)
- 362        klass._STRING_ESCAPES = set(klass.STRING_ESCAPES)
- 363        klass._IDENTIFIER_ESCAPES = set(klass.IDENTIFIER_ESCAPES)
- 364        klass._COMMENTS = dict(
- 365            (comment, None) if isinstance(comment, str) else (comment[0], comment[1])
- 366            for comment in klass.COMMENTS
- 367        )
- 368
- 369        klass.KEYWORD_TRIE = new_trie(
- 370            key.upper()
- 371            for key in (
- 372                *klass.KEYWORDS,
- 373                *klass._COMMENTS,
- 374                *klass._QUOTES,
- 375                *klass._BIT_STRINGS,
- 376                *klass._HEX_STRINGS,
- 377                *klass._BYTE_STRINGS,
- 378            )
- 379            if " " in key or any(single in key for single in klass.SINGLE_TOKENS)
- 380        )
- 381
- 382        return klass
- 383
- 384    @staticmethod
- 385    def _delimeter_list_to_dict(list: t.List[str | t.Tuple[str, str]]) -> t.Dict[str, str]:
- 386        return dict((item, item) if isinstance(item, str) else (item[0], item[1]) for item in list)
- 387
- 388
- 389class Tokenizer(metaclass=_Tokenizer):
- 390    SINGLE_TOKENS = {
- 391        "(": TokenType.L_PAREN,
- 392        ")": TokenType.R_PAREN,
- 393        "[": TokenType.L_BRACKET,
- 394        "]": TokenType.R_BRACKET,
- 395        "{": TokenType.L_BRACE,
- 396        "}": TokenType.R_BRACE,
- 397        "&": TokenType.AMP,
- 398        "^": TokenType.CARET,
- 399        ":": TokenType.COLON,
- 400        ",": TokenType.COMMA,
- 401        ".": TokenType.DOT,
- 402        "-": TokenType.DASH,
- 403        "=": TokenType.EQ,
- 404        ">": TokenType.GT,
- 405        "<": TokenType.LT,
- 406        "%": TokenType.MOD,
- 407        "!": TokenType.NOT,
- 408        "|": TokenType.PIPE,
- 409        "+": TokenType.PLUS,
- 410        ";": TokenType.SEMICOLON,
- 411        "/": TokenType.SLASH,
- 412        "\\": TokenType.BACKSLASH,
- 413        "*": TokenType.STAR,
- 414        "~": TokenType.TILDA,
- 415        "?": TokenType.PLACEHOLDER,
- 416        "@": TokenType.PARAMETER,
- 417        # used for breaking a var like x'y' but nothing else
- 418        # the token type doesn't matter
- 419        "'": TokenType.QUOTE,
- 420        "`": TokenType.IDENTIFIER,
- 421        '"': TokenType.IDENTIFIER,
- 422        "#": TokenType.HASH,
- 423    }
- 424
- 425    BIT_STRINGS: t.List[str | t.Tuple[str, str]] = []
- 426    BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = []
- 427    HEX_STRINGS: t.List[str | t.Tuple[str, str]] = []
- 428    IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"']
- 429    IDENTIFIER_ESCAPES = ['"']
- 430    QUOTES: t.List[t.Tuple[str, str] | str] = ["'"]
- 431    STRING_ESCAPES = ["'"]
- 432    VAR_SINGLE_TOKENS: t.Set[str] = set()
- 433
- 434    _COMMENTS: t.Dict[str, str] = {}
- 435    _BIT_STRINGS: t.Dict[str, str] = {}
- 436    _BYTE_STRINGS: t.Dict[str, str] = {}
- 437    _HEX_STRINGS: t.Dict[str, str] = {}
- 438    _IDENTIFIERS: t.Dict[str, str] = {}
- 439    _IDENTIFIER_ESCAPES: t.Set[str] = set()
- 440    _QUOTES: t.Dict[str, str] = {}
- 441    _STRING_ESCAPES: t.Set[str] = set()
- 442
- 443    KEYWORDS: t.Dict[t.Optional[str], TokenType] = {
- 444        **{f"{{%{postfix}": TokenType.BLOCK_START for postfix in ("", "+", "-")},
- 445        **{f"{prefix}%}}": TokenType.BLOCK_END for prefix in ("", "+", "-")},
- 446        "{{+": TokenType.BLOCK_START,
- 447        "{{-": TokenType.BLOCK_START,
- 448        "+}}": TokenType.BLOCK_END,
- 449        "-}}": TokenType.BLOCK_END,
- 450        "/*+": TokenType.HINT,
- 451        "==": TokenType.EQ,
- 452        "::": TokenType.DCOLON,
- 453        "||": TokenType.DPIPE,
- 454        ">=": TokenType.GTE,
- 455        "<=": TokenType.LTE,
- 456        "<>": TokenType.NEQ,
- 457        "!=": TokenType.NEQ,
- 458        "<=>": TokenType.NULLSAFE_EQ,
- 459        "->": TokenType.ARROW,
- 460        "->>": TokenType.DARROW,
- 461        "=>": TokenType.FARROW,
- 462        "#>": TokenType.HASH_ARROW,
- 463        "#>>": TokenType.DHASH_ARROW,
- 464        "<->": TokenType.LR_ARROW,
- 465        "&&": TokenType.DAMP,
- 466        "ALL": TokenType.ALL,
- 467        "ALWAYS": TokenType.ALWAYS,
- 468        "AND": TokenType.AND,
- 469        "ANTI": TokenType.ANTI,
- 470        "ANY": TokenType.ANY,
- 471        "ASC": TokenType.ASC,
- 472        "AS": TokenType.ALIAS,
- 473        "AUTOINCREMENT": TokenType.AUTO_INCREMENT,
- 474        "AUTO_INCREMENT": TokenType.AUTO_INCREMENT,
- 475        "BEGIN": TokenType.BEGIN,
- 476        "BETWEEN": TokenType.BETWEEN,
- 477        "CACHE": TokenType.CACHE,
- 478        "UNCACHE": TokenType.UNCACHE,
- 479        "CASE": TokenType.CASE,
- 480        "CHARACTER SET": TokenType.CHARACTER_SET,
- 481        "COLLATE": TokenType.COLLATE,
- 482        "COLUMN": TokenType.COLUMN,
- 483        "COMMIT": TokenType.COMMIT,
- 484        "CONSTRAINT": TokenType.CONSTRAINT,
- 485        "CREATE": TokenType.CREATE,
- 486        "CROSS": TokenType.CROSS,
- 487        "CUBE": TokenType.CUBE,
- 488        "CURRENT_DATE": TokenType.CURRENT_DATE,
- 489        "CURRENT_TIME": TokenType.CURRENT_TIME,
- 490        "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP,
- 491        "CURRENT_USER": TokenType.CURRENT_USER,
- 492        "DATABASE": TokenType.DATABASE,
- 493        "DEFAULT": TokenType.DEFAULT,
- 494        "DELETE": TokenType.DELETE,
- 495        "DESC": TokenType.DESC,
- 496        "DESCRIBE": TokenType.DESCRIBE,
- 497        "DISTINCT": TokenType.DISTINCT,
- 498        "DIV": TokenType.DIV,
- 499        "DROP": TokenType.DROP,
- 500        "ELSE": TokenType.ELSE,
- 501        "END": TokenType.END,
- 502        "ESCAPE": TokenType.ESCAPE,
- 503        "EXCEPT": TokenType.EXCEPT,
- 504        "EXECUTE": TokenType.EXECUTE,
- 505        "EXISTS": TokenType.EXISTS,
- 506        "FALSE": TokenType.FALSE,
- 507        "FETCH": TokenType.FETCH,
- 508        "FILTER": TokenType.FILTER,
- 509        "FIRST": TokenType.FIRST,
- 510        "FULL": TokenType.FULL,
- 511        "FUNCTION": TokenType.FUNCTION,
- 512        "FOR": TokenType.FOR,
- 513        "FOREIGN KEY": TokenType.FOREIGN_KEY,
- 514        "FORMAT": TokenType.FORMAT,
- 515        "FROM": TokenType.FROM,
- 516        "GEOGRAPHY": TokenType.GEOGRAPHY,
- 517        "GEOMETRY": TokenType.GEOMETRY,
- 518        "GLOB": TokenType.GLOB,
- 519        "GROUP BY": TokenType.GROUP_BY,
- 520        "GROUPING SETS": TokenType.GROUPING_SETS,
- 521        "HAVING": TokenType.HAVING,
- 522        "IF": TokenType.IF,
- 523        "ILIKE": TokenType.ILIKE,
- 524        "IN": TokenType.IN,
- 525        "INDEX": TokenType.INDEX,
- 526        "INET": TokenType.INET,
- 527        "INNER": TokenType.INNER,
- 528        "INSERT": TokenType.INSERT,
- 529        "INTERVAL": TokenType.INTERVAL,
- 530        "INTERSECT": TokenType.INTERSECT,
- 531        "INTO": TokenType.INTO,
- 532        "IS": TokenType.IS,
- 533        "ISNULL": TokenType.ISNULL,
- 534        "JOIN": TokenType.JOIN,
- 535        "KEEP": TokenType.KEEP,
- 536        "LATERAL": TokenType.LATERAL,
- 537        "LEFT": TokenType.LEFT,
- 538        "LIKE": TokenType.LIKE,
- 539        "LIMIT": TokenType.LIMIT,
- 540        "LOAD": TokenType.LOAD,
- 541        "LOCK": TokenType.LOCK,
- 542        "MERGE": TokenType.MERGE,
- 543        "NATURAL": TokenType.NATURAL,
- 544        "NEXT": TokenType.NEXT,
- 545        "NEXT VALUE FOR": TokenType.NEXT_VALUE_FOR,
- 546        "NOT": TokenType.NOT,
- 547        "NOTNULL": TokenType.NOTNULL,
- 548        "NULL": TokenType.NULL,
- 549        "OBJECT": TokenType.OBJECT,
- 550        "OFFSET": TokenType.OFFSET,
- 551        "ON": TokenType.ON,
- 552        "OR": TokenType.OR,
- 553        "ORDER BY": TokenType.ORDER_BY,
- 554        "ORDINALITY": TokenType.ORDINALITY,
- 555        "OUTER": TokenType.OUTER,
- 556        "OVER": TokenType.OVER,
- 557        "OVERLAPS": TokenType.OVERLAPS,
- 558        "OVERWRITE": TokenType.OVERWRITE,
- 559        "PARTITION": TokenType.PARTITION,
- 560        "PARTITION BY": TokenType.PARTITION_BY,
- 561        "PARTITIONED BY": TokenType.PARTITION_BY,
- 562        "PARTITIONED_BY": TokenType.PARTITION_BY,
- 563        "PERCENT": TokenType.PERCENT,
- 564        "PIVOT": TokenType.PIVOT,
- 565        "PRAGMA": TokenType.PRAGMA,
- 566        "PRIMARY KEY": TokenType.PRIMARY_KEY,
- 567        "PROCEDURE": TokenType.PROCEDURE,
- 568        "QUALIFY": TokenType.QUALIFY,
- 569        "RANGE": TokenType.RANGE,
- 570        "RECURSIVE": TokenType.RECURSIVE,
- 571        "REGEXP": TokenType.RLIKE,
- 572        "REPLACE": TokenType.REPLACE,
- 573        "REFERENCES": TokenType.REFERENCES,
- 574        "RIGHT": TokenType.RIGHT,
- 575        "RLIKE": TokenType.RLIKE,
- 576        "ROLLBACK": TokenType.ROLLBACK,
- 577        "ROLLUP": TokenType.ROLLUP,
- 578        "ROW": TokenType.ROW,
- 579        "ROWS": TokenType.ROWS,
- 580        "SCHEMA": TokenType.SCHEMA,
- 581        "SELECT": TokenType.SELECT,
- 582        "SEMI": TokenType.SEMI,
- 583        "SET": TokenType.SET,
- 584        "SETTINGS": TokenType.SETTINGS,
- 585        "SHOW": TokenType.SHOW,
- 586        "SIMILAR TO": TokenType.SIMILAR_TO,
- 587        "SOME": TokenType.SOME,
- 588        "TABLE": TokenType.TABLE,
- 589        "TABLESAMPLE": TokenType.TABLE_SAMPLE,
- 590        "TEMP": TokenType.TEMPORARY,
- 591        "TEMPORARY": TokenType.TEMPORARY,
- 592        "THEN": TokenType.THEN,
- 593        "TRUE": TokenType.TRUE,
- 594        "UNION": TokenType.UNION,
- 595        "UNNEST": TokenType.UNNEST,
- 596        "UNPIVOT": TokenType.UNPIVOT,
- 597        "UPDATE": TokenType.UPDATE,
- 598        "USE": TokenType.USE,
- 599        "USING": TokenType.USING,
- 600        "UUID": TokenType.UUID,
- 601        "VALUES": TokenType.VALUES,
- 602        "VIEW": TokenType.VIEW,
- 603        "VOLATILE": TokenType.VOLATILE,
- 604        "WHEN": TokenType.WHEN,
- 605        "WHERE": TokenType.WHERE,
- 606        "WINDOW": TokenType.WINDOW,
- 607        "WITH": TokenType.WITH,
- 608        "APPLY": TokenType.APPLY,
- 609        "ARRAY": TokenType.ARRAY,
- 610        "BIT": TokenType.BIT,
- 611        "BOOL": TokenType.BOOLEAN,
- 612        "BOOLEAN": TokenType.BOOLEAN,
- 613        "BYTE": TokenType.TINYINT,
- 614        "TINYINT": TokenType.TINYINT,
- 615        "SHORT": TokenType.SMALLINT,
- 616        "SMALLINT": TokenType.SMALLINT,
- 617        "INT2": TokenType.SMALLINT,
- 618        "INTEGER": TokenType.INT,
- 619        "INT": TokenType.INT,
- 620        "INT4": TokenType.INT,
- 621        "LONG": TokenType.BIGINT,
- 622        "BIGINT": TokenType.BIGINT,
- 623        "INT8": TokenType.BIGINT,
- 624        "DEC": TokenType.DECIMAL,
- 625        "DECIMAL": TokenType.DECIMAL,
- 626        "BIGDECIMAL": TokenType.BIGDECIMAL,
- 627        "BIGNUMERIC": TokenType.BIGDECIMAL,
- 628        "MAP": TokenType.MAP,
- 629        "NULLABLE": TokenType.NULLABLE,
- 630        "NUMBER": TokenType.DECIMAL,
- 631        "NUMERIC": TokenType.DECIMAL,
- 632        "FIXED": TokenType.DECIMAL,
- 633        "REAL": TokenType.FLOAT,
- 634        "FLOAT": TokenType.FLOAT,
- 635        "FLOAT4": TokenType.FLOAT,
- 636        "FLOAT8": TokenType.DOUBLE,
- 637        "DOUBLE": TokenType.DOUBLE,
- 638        "DOUBLE PRECISION": TokenType.DOUBLE,
- 639        "JSON": TokenType.JSON,
- 640        "CHAR": TokenType.CHAR,
- 641        "CHARACTER": TokenType.CHAR,
- 642        "NCHAR": TokenType.NCHAR,
- 643        "VARCHAR": TokenType.VARCHAR,
- 644        "VARCHAR2": TokenType.VARCHAR,
- 645        "NVARCHAR": TokenType.NVARCHAR,
- 646        "NVARCHAR2": TokenType.NVARCHAR,
- 647        "STR": TokenType.TEXT,
- 648        "STRING": TokenType.TEXT,
- 649        "TEXT": TokenType.TEXT,
- 650        "CLOB": TokenType.TEXT,
- 651        "LONGVARCHAR": TokenType.TEXT,
- 652        "BINARY": TokenType.BINARY,
- 653        "BLOB": TokenType.VARBINARY,
- 654        "BYTEA": TokenType.VARBINARY,
- 655        "VARBINARY": TokenType.VARBINARY,
- 656        "TIME": TokenType.TIME,
- 657        "TIMESTAMP": TokenType.TIMESTAMP,
- 658        "TIMESTAMPTZ": TokenType.TIMESTAMPTZ,
- 659        "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ,
- 660        "DATE": TokenType.DATE,
- 661        "DATETIME": TokenType.DATETIME,
- 662        "UNIQUE": TokenType.UNIQUE,
- 663        "STRUCT": TokenType.STRUCT,
- 664        "VARIANT": TokenType.VARIANT,
- 665        "ALTER": TokenType.ALTER,
- 666        "ANALYZE": TokenType.COMMAND,
- 667        "CALL": TokenType.COMMAND,
- 668        "COMMENT": TokenType.COMMENT,
- 669        "COPY": TokenType.COMMAND,
- 670        "EXPLAIN": TokenType.COMMAND,
- 671        "GRANT": TokenType.COMMAND,
- 672        "OPTIMIZE": TokenType.COMMAND,
- 673        "PREPARE": TokenType.COMMAND,
- 674        "TRUNCATE": TokenType.COMMAND,
- 675        "VACUUM": TokenType.COMMAND,
- 676    }
- 677
- 678    WHITE_SPACE: t.Dict[t.Optional[str], TokenType] = {
- 679        " ": TokenType.SPACE,
- 680        "\t": TokenType.SPACE,
- 681        "\n": TokenType.BREAK,
- 682        "\r": TokenType.BREAK,
- 683        "\r\n": TokenType.BREAK,
- 684    }
- 685
- 686    COMMANDS = {
- 687        TokenType.COMMAND,
- 688        TokenType.EXECUTE,
- 689        TokenType.FETCH,
- 690        TokenType.SHOW,
- 691    }
- 692
- 693    COMMAND_PREFIX_TOKENS = {TokenType.SEMICOLON, TokenType.BEGIN}
- 694
- 695    # handle numeric literals like in hive (3L = BIGINT)
- 696    NUMERIC_LITERALS: t.Dict[str, str] = {}
- 697    ENCODE: t.Optional[str] = None
- 698
- 699    COMMENTS = ["--", ("/*", "*/"), ("{#", "#}")]
- 700    KEYWORD_TRIE: t.Dict = {}  # autofilled
- 701
- 702    IDENTIFIER_CAN_START_WITH_DIGIT = False
- 703
- 704    __slots__ = (
- 705        "sql",
- 706        "size",
- 707        "tokens",
- 708        "_start",
- 709        "_current",
- 710        "_line",
- 711        "_col",
- 712        "_comments",
- 713        "_char",
- 714        "_end",
- 715        "_peek",
- 716        "_prev_token_line",
- 717    )
- 718
- 719    def __init__(self) -> None:
- 720        self.reset()
- 721
- 722    def reset(self) -> None:
- 723        self.sql = ""
- 724        self.size = 0
- 725        self.tokens: t.List[Token] = []
- 726        self._start = 0
- 727        self._current = 0
- 728        self._line = 1
- 729        self._col = 0
- 730        self._comments: t.List[str] = []
+ 349
+ 350class _Tokenizer(type):
+ 351    def __new__(cls, clsname, bases, attrs):
+ 352        klass = super().__new__(cls, clsname, bases, attrs)
+ 353
+ 354        def _convert_quotes(arr: t.List[str | t.Tuple[str, str]]) -> t.Dict[str, str]:
+ 355            return dict(
+ 356                (item, item) if isinstance(item, str) else (item[0], item[1]) for item in arr
+ 357            )
+ 358
+ 359        def _quotes_to_format(
+ 360            token_type: TokenType, arr: t.List[str | t.Tuple[str, str]]
+ 361        ) -> t.Dict[str, t.Tuple[str, TokenType]]:
+ 362            return {k: (v, token_type) for k, v in _convert_quotes(arr).items()}
+ 363
+ 364        klass._QUOTES = _convert_quotes(klass.QUOTES)
+ 365        klass._IDENTIFIERS = _convert_quotes(klass.IDENTIFIERS)
+ 366
+ 367        klass._FORMAT_STRINGS = {
+ 368            **{
+ 369                p + s: (e, TokenType.NATIONAL_STRING)
+ 370                for s, e in klass._QUOTES.items()
+ 371                for p in ("n", "N")
+ 372            },
+ 373            **_quotes_to_format(TokenType.BIT_STRING, klass.BIT_STRINGS),
+ 374            **_quotes_to_format(TokenType.BYTE_STRING, klass.BYTE_STRINGS),
+ 375            **_quotes_to_format(TokenType.HEX_STRING, klass.HEX_STRINGS),
+ 376            **_quotes_to_format(TokenType.RAW_STRING, klass.RAW_STRINGS),
+ 377        }
+ 378
+ 379        klass._STRING_ESCAPES = set(klass.STRING_ESCAPES)
+ 380        klass._IDENTIFIER_ESCAPES = set(klass.IDENTIFIER_ESCAPES)
+ 381        klass._COMMENTS = dict(
+ 382            (comment, None) if isinstance(comment, str) else (comment[0], comment[1])
+ 383            for comment in klass.COMMENTS
+ 384        )
+ 385
+ 386        klass.KEYWORD_TRIE = new_trie(
+ 387            key.upper()
+ 388            for key in (
+ 389                *klass.KEYWORDS,
+ 390                *klass._COMMENTS,
+ 391                *klass._QUOTES,
+ 392                *klass._FORMAT_STRINGS,
+ 393            )
+ 394            if " " in key or any(single in key for single in klass.SINGLE_TOKENS)
+ 395        )
+ 396
+ 397        return klass
+ 398
+ 399
+ 400class Tokenizer(metaclass=_Tokenizer):
+ 401    SINGLE_TOKENS = {
+ 402        "(": TokenType.L_PAREN,
+ 403        ")": TokenType.R_PAREN,
+ 404        "[": TokenType.L_BRACKET,
+ 405        "]": TokenType.R_BRACKET,
+ 406        "{": TokenType.L_BRACE,
+ 407        "}": TokenType.R_BRACE,
+ 408        "&": TokenType.AMP,
+ 409        "^": TokenType.CARET,
+ 410        ":": TokenType.COLON,
+ 411        ",": TokenType.COMMA,
+ 412        ".": TokenType.DOT,
+ 413        "-": TokenType.DASH,
+ 414        "=": TokenType.EQ,
+ 415        ">": TokenType.GT,
+ 416        "<": TokenType.LT,
+ 417        "%": TokenType.MOD,
+ 418        "!": TokenType.NOT,
+ 419        "|": TokenType.PIPE,
+ 420        "+": TokenType.PLUS,
+ 421        ";": TokenType.SEMICOLON,
+ 422        "/": TokenType.SLASH,
+ 423        "\\": TokenType.BACKSLASH,
+ 424        "*": TokenType.STAR,
+ 425        "~": TokenType.TILDA,
+ 426        "?": TokenType.PLACEHOLDER,
+ 427        "@": TokenType.PARAMETER,
+ 428        # used for breaking a var like x'y' but nothing else
+ 429        # the token type doesn't matter
+ 430        "'": TokenType.QUOTE,
+ 431        "`": TokenType.IDENTIFIER,
+ 432        '"': TokenType.IDENTIFIER,
+ 433        "#": TokenType.HASH,
+ 434    }
+ 435
+ 436    BIT_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 437    BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 438    HEX_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 439    RAW_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 440    IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"']
+ 441    IDENTIFIER_ESCAPES = ['"']
+ 442    QUOTES: t.List[t.Tuple[str, str] | str] = ["'"]
+ 443    STRING_ESCAPES = ["'"]
+ 444    VAR_SINGLE_TOKENS: t.Set[str] = set()
+ 445
+ 446    _COMMENTS: t.Dict[str, str] = {}
+ 447    _FORMAT_STRINGS: t.Dict[str, t.Tuple[str, TokenType]] = {}
+ 448    _IDENTIFIERS: t.Dict[str, str] = {}
+ 449    _IDENTIFIER_ESCAPES: t.Set[str] = set()
+ 450    _QUOTES: t.Dict[str, str] = {}
+ 451    _STRING_ESCAPES: t.Set[str] = set()
+ 452
+ 453    KEYWORDS: t.Dict[t.Optional[str], TokenType] = {
+ 454        **{f"{{%{postfix}": TokenType.BLOCK_START for postfix in ("", "+", "-")},
+ 455        **{f"{prefix}%}}": TokenType.BLOCK_END for prefix in ("", "+", "-")},
+ 456        "{{+": TokenType.BLOCK_START,
+ 457        "{{-": TokenType.BLOCK_START,
+ 458        "+}}": TokenType.BLOCK_END,
+ 459        "-}}": TokenType.BLOCK_END,
+ 460        "/*+": TokenType.HINT,
+ 461        "==": TokenType.EQ,
+ 462        "::": TokenType.DCOLON,
+ 463        "||": TokenType.DPIPE,
+ 464        ">=": TokenType.GTE,
+ 465        "<=": TokenType.LTE,
+ 466        "<>": TokenType.NEQ,
+ 467        "!=": TokenType.NEQ,
+ 468        "<=>": TokenType.NULLSAFE_EQ,
+ 469        "->": TokenType.ARROW,
+ 470        "->>": TokenType.DARROW,
+ 471        "=>": TokenType.FARROW,
+ 472        "#>": TokenType.HASH_ARROW,
+ 473        "#>>": TokenType.DHASH_ARROW,
+ 474        "<->": TokenType.LR_ARROW,
+ 475        "&&": TokenType.DAMP,
+ 476        "ALL": TokenType.ALL,
+ 477        "ALWAYS": TokenType.ALWAYS,
+ 478        "AND": TokenType.AND,
+ 479        "ANTI": TokenType.ANTI,
+ 480        "ANY": TokenType.ANY,
+ 481        "ASC": TokenType.ASC,
+ 482        "AS": TokenType.ALIAS,
+ 483        "AUTOINCREMENT": TokenType.AUTO_INCREMENT,
+ 484        "AUTO_INCREMENT": TokenType.AUTO_INCREMENT,
+ 485        "BEGIN": TokenType.BEGIN,
+ 486        "BETWEEN": TokenType.BETWEEN,
+ 487        "CACHE": TokenType.CACHE,
+ 488        "UNCACHE": TokenType.UNCACHE,
+ 489        "CASE": TokenType.CASE,
+ 490        "CHARACTER SET": TokenType.CHARACTER_SET,
+ 491        "COLLATE": TokenType.COLLATE,
+ 492        "COLUMN": TokenType.COLUMN,
+ 493        "COMMIT": TokenType.COMMIT,
+ 494        "CONSTRAINT": TokenType.CONSTRAINT,
+ 495        "CREATE": TokenType.CREATE,
+ 496        "CROSS": TokenType.CROSS,
+ 497        "CUBE": TokenType.CUBE,
+ 498        "CURRENT_DATE": TokenType.CURRENT_DATE,
+ 499        "CURRENT_TIME": TokenType.CURRENT_TIME,
+ 500        "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP,
+ 501        "CURRENT_USER": TokenType.CURRENT_USER,
+ 502        "DATABASE": TokenType.DATABASE,
+ 503        "DEFAULT": TokenType.DEFAULT,
+ 504        "DELETE": TokenType.DELETE,
+ 505        "DESC": TokenType.DESC,
+ 506        "DESCRIBE": TokenType.DESCRIBE,
+ 507        "DISTINCT": TokenType.DISTINCT,
+ 508        "DIV": TokenType.DIV,
+ 509        "DROP": TokenType.DROP,
+ 510        "ELSE": TokenType.ELSE,
+ 511        "END": TokenType.END,
+ 512        "ESCAPE": TokenType.ESCAPE,
+ 513        "EXCEPT": TokenType.EXCEPT,
+ 514        "EXECUTE": TokenType.EXECUTE,
+ 515        "EXISTS": TokenType.EXISTS,
+ 516        "FALSE": TokenType.FALSE,
+ 517        "FETCH": TokenType.FETCH,
+ 518        "FILTER": TokenType.FILTER,
+ 519        "FIRST": TokenType.FIRST,
+ 520        "FULL": TokenType.FULL,
+ 521        "FUNCTION": TokenType.FUNCTION,
+ 522        "FOR": TokenType.FOR,
+ 523        "FOREIGN KEY": TokenType.FOREIGN_KEY,
+ 524        "FORMAT": TokenType.FORMAT,
+ 525        "FROM": TokenType.FROM,
+ 526        "GEOGRAPHY": TokenType.GEOGRAPHY,
+ 527        "GEOMETRY": TokenType.GEOMETRY,
+ 528        "GLOB": TokenType.GLOB,
+ 529        "GROUP BY": TokenType.GROUP_BY,
+ 530        "GROUPING SETS": TokenType.GROUPING_SETS,
+ 531        "HAVING": TokenType.HAVING,
+ 532        "IF": TokenType.IF,
+ 533        "ILIKE": TokenType.ILIKE,
+ 534        "IN": TokenType.IN,
+ 535        "INDEX": TokenType.INDEX,
+ 536        "INET": TokenType.INET,
+ 537        "INNER": TokenType.INNER,
+ 538        "INSERT": TokenType.INSERT,
+ 539        "INTERVAL": TokenType.INTERVAL,
+ 540        "INTERSECT": TokenType.INTERSECT,
+ 541        "INTO": TokenType.INTO,
+ 542        "IS": TokenType.IS,
+ 543        "ISNULL": TokenType.ISNULL,
+ 544        "JOIN": TokenType.JOIN,
+ 545        "KEEP": TokenType.KEEP,
+ 546        "LATERAL": TokenType.LATERAL,
+ 547        "LEFT": TokenType.LEFT,
+ 548        "LIKE": TokenType.LIKE,
+ 549        "LIMIT": TokenType.LIMIT,
+ 550        "LOAD": TokenType.LOAD,
+ 551        "LOCK": TokenType.LOCK,
+ 552        "MERGE": TokenType.MERGE,
+ 553        "NATURAL": TokenType.NATURAL,
+ 554        "NEXT": TokenType.NEXT,
+ 555        "NEXT VALUE FOR": TokenType.NEXT_VALUE_FOR,
+ 556        "NOT": TokenType.NOT,
+ 557        "NOTNULL": TokenType.NOTNULL,
+ 558        "NULL": TokenType.NULL,
+ 559        "OBJECT": TokenType.OBJECT,
+ 560        "OFFSET": TokenType.OFFSET,
+ 561        "ON": TokenType.ON,
+ 562        "OR": TokenType.OR,
+ 563        "ORDER BY": TokenType.ORDER_BY,
+ 564        "ORDINALITY": TokenType.ORDINALITY,
+ 565        "OUTER": TokenType.OUTER,
+ 566        "OVER": TokenType.OVER,
+ 567        "OVERLAPS": TokenType.OVERLAPS,
+ 568        "OVERWRITE": TokenType.OVERWRITE,
+ 569        "PARTITION": TokenType.PARTITION,
+ 570        "PARTITION BY": TokenType.PARTITION_BY,
+ 571        "PARTITIONED BY": TokenType.PARTITION_BY,
+ 572        "PARTITIONED_BY": TokenType.PARTITION_BY,
+ 573        "PERCENT": TokenType.PERCENT,
+ 574        "PIVOT": TokenType.PIVOT,
+ 575        "PRAGMA": TokenType.PRAGMA,
+ 576        "PRIMARY KEY": TokenType.PRIMARY_KEY,
+ 577        "PROCEDURE": TokenType.PROCEDURE,
+ 578        "QUALIFY": TokenType.QUALIFY,
+ 579        "RANGE": TokenType.RANGE,
+ 580        "RECURSIVE": TokenType.RECURSIVE,
+ 581        "REGEXP": TokenType.RLIKE,
+ 582        "REPLACE": TokenType.REPLACE,
+ 583        "REFERENCES": TokenType.REFERENCES,
+ 584        "RIGHT": TokenType.RIGHT,
+ 585        "RLIKE": TokenType.RLIKE,
+ 586        "ROLLBACK": TokenType.ROLLBACK,
+ 587        "ROLLUP": TokenType.ROLLUP,
+ 588        "ROW": TokenType.ROW,
+ 589        "ROWS": TokenType.ROWS,
+ 590        "SCHEMA": TokenType.SCHEMA,
+ 591        "SELECT": TokenType.SELECT,
+ 592        "SEMI": TokenType.SEMI,
+ 593        "SET": TokenType.SET,
+ 594        "SETTINGS": TokenType.SETTINGS,
+ 595        "SHOW": TokenType.SHOW,
+ 596        "SIMILAR TO": TokenType.SIMILAR_TO,
+ 597        "SOME": TokenType.SOME,
+ 598        "TABLE": TokenType.TABLE,
+ 599        "TABLESAMPLE": TokenType.TABLE_SAMPLE,
+ 600        "TEMP": TokenType.TEMPORARY,
+ 601        "TEMPORARY": TokenType.TEMPORARY,
+ 602        "THEN": TokenType.THEN,
+ 603        "TRUE": TokenType.TRUE,
+ 604        "UNION": TokenType.UNION,
+ 605        "UNNEST": TokenType.UNNEST,
+ 606        "UNPIVOT": TokenType.UNPIVOT,
+ 607        "UPDATE": TokenType.UPDATE,
+ 608        "USE": TokenType.USE,
+ 609        "USING": TokenType.USING,
+ 610        "UUID": TokenType.UUID,
+ 611        "VALUES": TokenType.VALUES,
+ 612        "VIEW": TokenType.VIEW,
+ 613        "VOLATILE": TokenType.VOLATILE,
+ 614        "WHEN": TokenType.WHEN,
+ 615        "WHERE": TokenType.WHERE,
+ 616        "WINDOW": TokenType.WINDOW,
+ 617        "WITH": TokenType.WITH,
+ 618        "APPLY": TokenType.APPLY,
+ 619        "ARRAY": TokenType.ARRAY,
+ 620        "BIT": TokenType.BIT,
+ 621        "BOOL": TokenType.BOOLEAN,
+ 622        "BOOLEAN": TokenType.BOOLEAN,
+ 623        "BYTE": TokenType.TINYINT,
+ 624        "TINYINT": TokenType.TINYINT,
+ 625        "SHORT": TokenType.SMALLINT,
+ 626        "SMALLINT": TokenType.SMALLINT,
+ 627        "INT2": TokenType.SMALLINT,
+ 628        "INTEGER": TokenType.INT,
+ 629        "INT": TokenType.INT,
+ 630        "INT4": TokenType.INT,
+ 631        "LONG": TokenType.BIGINT,
+ 632        "BIGINT": TokenType.BIGINT,
+ 633        "INT8": TokenType.BIGINT,
+ 634        "DEC": TokenType.DECIMAL,
+ 635        "DECIMAL": TokenType.DECIMAL,
+ 636        "BIGDECIMAL": TokenType.BIGDECIMAL,
+ 637        "BIGNUMERIC": TokenType.BIGDECIMAL,
+ 638        "MAP": TokenType.MAP,
+ 639        "NULLABLE": TokenType.NULLABLE,
+ 640        "NUMBER": TokenType.DECIMAL,
+ 641        "NUMERIC": TokenType.DECIMAL,
+ 642        "FIXED": TokenType.DECIMAL,
+ 643        "REAL": TokenType.FLOAT,
+ 644        "FLOAT": TokenType.FLOAT,
+ 645        "FLOAT4": TokenType.FLOAT,
+ 646        "FLOAT8": TokenType.DOUBLE,
+ 647        "DOUBLE": TokenType.DOUBLE,
+ 648        "DOUBLE PRECISION": TokenType.DOUBLE,
+ 649        "JSON": TokenType.JSON,
+ 650        "CHAR": TokenType.CHAR,
+ 651        "CHARACTER": TokenType.CHAR,
+ 652        "NCHAR": TokenType.NCHAR,
+ 653        "VARCHAR": TokenType.VARCHAR,
+ 654        "VARCHAR2": TokenType.VARCHAR,
+ 655        "NVARCHAR": TokenType.NVARCHAR,
+ 656        "NVARCHAR2": TokenType.NVARCHAR,
+ 657        "STR": TokenType.TEXT,
+ 658        "STRING": TokenType.TEXT,
+ 659        "TEXT": TokenType.TEXT,
+ 660        "CLOB": TokenType.TEXT,
+ 661        "LONGVARCHAR": TokenType.TEXT,
+ 662        "BINARY": TokenType.BINARY,
+ 663        "BLOB": TokenType.VARBINARY,
+ 664        "BYTEA": TokenType.VARBINARY,
+ 665        "VARBINARY": TokenType.VARBINARY,
+ 666        "TIME": TokenType.TIME,
+ 667        "TIMESTAMP": TokenType.TIMESTAMP,
+ 668        "TIMESTAMPTZ": TokenType.TIMESTAMPTZ,
+ 669        "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ,
+ 670        "DATE": TokenType.DATE,
+ 671        "DATETIME": TokenType.DATETIME,
+ 672        "UNIQUE": TokenType.UNIQUE,
+ 673        "STRUCT": TokenType.STRUCT,
+ 674        "VARIANT": TokenType.VARIANT,
+ 675        "ALTER": TokenType.ALTER,
+ 676        "ANALYZE": TokenType.COMMAND,
+ 677        "CALL": TokenType.COMMAND,
+ 678        "COMMENT": TokenType.COMMENT,
+ 679        "COPY": TokenType.COMMAND,
+ 680        "EXPLAIN": TokenType.COMMAND,
+ 681        "GRANT": TokenType.COMMAND,
+ 682        "OPTIMIZE": TokenType.COMMAND,
+ 683        "PREPARE": TokenType.COMMAND,
+ 684        "TRUNCATE": TokenType.COMMAND,
+ 685        "VACUUM": TokenType.COMMAND,
+ 686    }
+ 687
+ 688    WHITE_SPACE: t.Dict[t.Optional[str], TokenType] = {
+ 689        " ": TokenType.SPACE,
+ 690        "\t": TokenType.SPACE,
+ 691        "\n": TokenType.BREAK,
+ 692        "\r": TokenType.BREAK,
+ 693        "\r\n": TokenType.BREAK,
+ 694    }
+ 695
+ 696    COMMANDS = {
+ 697        TokenType.COMMAND,
+ 698        TokenType.EXECUTE,
+ 699        TokenType.FETCH,
+ 700        TokenType.SHOW,
+ 701    }
+ 702
+ 703    COMMAND_PREFIX_TOKENS = {TokenType.SEMICOLON, TokenType.BEGIN}
+ 704
+ 705    # handle numeric literals like in hive (3L = BIGINT)
+ 706    NUMERIC_LITERALS: t.Dict[str, str] = {}
+ 707    ENCODE: t.Optional[str] = None
+ 708
+ 709    COMMENTS = ["--", ("/*", "*/"), ("{#", "#}")]
+ 710    KEYWORD_TRIE: t.Dict = {}  # autofilled
+ 711
+ 712    IDENTIFIER_CAN_START_WITH_DIGIT = False
+ 713
+ 714    __slots__ = (
+ 715        "sql",
+ 716        "size",
+ 717        "tokens",
+ 718        "_start",
+ 719        "_current",
+ 720        "_line",
+ 721        "_col",
+ 722        "_comments",
+ 723        "_char",
+ 724        "_end",
+ 725        "_peek",
+ 726        "_prev_token_line",
+ 727    )
+ 728
+ 729    def __init__(self) -> None:
+ 730        self.reset()
  731
- 732        self._char = ""
- 733        self._end = False
- 734        self._peek = ""
- 735        self._prev_token_line = -1
- 736
- 737    def tokenize(self, sql: str) -> t.List[Token]:
- 738        """Returns a list of tokens corresponding to the SQL string `sql`."""
- 739        self.reset()
- 740        self.sql = sql
- 741        self.size = len(sql)
- 742
- 743        try:
- 744            self._scan()
- 745        except Exception as e:
- 746            start = max(self._current - 50, 0)
- 747            end = min(self._current + 50, self.size - 1)
- 748            context = self.sql[start:end]
- 749            raise ValueError(f"Error tokenizing '{context}'") from e
- 750
- 751        return self.tokens
+ 732    def reset(self) -> None:
+ 733        self.sql = ""
+ 734        self.size = 0
+ 735        self.tokens: t.List[Token] = []
+ 736        self._start = 0
+ 737        self._current = 0
+ 738        self._line = 1
+ 739        self._col = 0
+ 740        self._comments: t.List[str] = []
+ 741
+ 742        self._char = ""
+ 743        self._end = False
+ 744        self._peek = ""
+ 745        self._prev_token_line = -1
+ 746
+ 747    def tokenize(self, sql: str) -> t.List[Token]:
+ 748        """Returns a list of tokens corresponding to the SQL string `sql`."""
+ 749        self.reset()
+ 750        self.sql = sql
+ 751        self.size = len(sql)
  752
- 753    def _scan(self, until: t.Optional[t.Callable] = None) -> None:
- 754        while self.size and not self._end:
- 755            self._start = self._current
- 756            self._advance()
- 757
- 758            if self._char is None:
- 759                break
+ 753        try:
+ 754            self._scan()
+ 755        except Exception as e:
+ 756            start = max(self._current - 50, 0)
+ 757            end = min(self._current + 50, self.size - 1)
+ 758            context = self.sql[start:end]
+ 759            raise ValueError(f"Error tokenizing '{context}'") from e
  760
- 761            if self._char not in self.WHITE_SPACE:
- 762                if self._char.isdigit():
- 763                    self._scan_number()
- 764                elif self._char in self._IDENTIFIERS:
- 765                    self._scan_identifier(self._IDENTIFIERS[self._char])
- 766                else:
- 767                    self._scan_keywords()
- 768
- 769            if until and until():
- 770                break
- 771
- 772        if self.tokens and self._comments:
- 773            self.tokens[-1].comments.extend(self._comments)
- 774
- 775    def _chars(self, size: int) -> str:
- 776        if size == 1:
- 777            return self._char
+ 761        return self.tokens
+ 762
+ 763    def _scan(self, until: t.Optional[t.Callable] = None) -> None:
+ 764        while self.size and not self._end:
+ 765            self._start = self._current
+ 766            self._advance()
+ 767
+ 768            if self._char is None:
+ 769                break
+ 770
+ 771            if self._char not in self.WHITE_SPACE:
+ 772                if self._char.isdigit():
+ 773                    self._scan_number()
+ 774                elif self._char in self._IDENTIFIERS:
+ 775                    self._scan_identifier(self._IDENTIFIERS[self._char])
+ 776                else:
+ 777                    self._scan_keywords()
  778
- 779        start = self._current - 1
- 780        end = start + size
+ 779            if until and until():
+ 780                break
  781
- 782        return self.sql[start:end] if end <= self.size else ""
- 783
- 784    def _advance(self, i: int = 1, alnum: bool = False) -> None:
- 785        if self.WHITE_SPACE.get(self._char) is TokenType.BREAK:
- 786            self._col = 1
- 787            self._line += 1
- 788        else:
- 789            self._col += i
- 790
- 791        self._current += i
- 792        self._end = self._current >= self.size
- 793        self._char = self.sql[self._current - 1]
- 794        self._peek = "" if self._end else self.sql[self._current]
- 795
- 796        if alnum and self._char.isalnum():
- 797            # Here we use local variables instead of attributes for better performance
- 798            _col = self._col
- 799            _current = self._current
- 800            _end = self._end
- 801            _peek = self._peek
- 802
- 803            while _peek.isalnum():
- 804                _col += 1
- 805                _current += 1
- 806                _end = _current >= self.size
- 807                _peek = "" if _end else self.sql[_current]
- 808
- 809            self._col = _col
- 810            self._current = _current
- 811            self._end = _end
- 812            self._peek = _peek
- 813            self._char = self.sql[_current - 1]
- 814
- 815    @property
- 816    def _text(self) -> str:
- 817        return self.sql[self._start : self._current]
+ 782        if self.tokens and self._comments:
+ 783            self.tokens[-1].comments.extend(self._comments)
+ 784
+ 785    def _chars(self, size: int) -> str:
+ 786        if size == 1:
+ 787            return self._char
+ 788
+ 789        start = self._current - 1
+ 790        end = start + size
+ 791
+ 792        return self.sql[start:end] if end <= self.size else ""
+ 793
+ 794    def _advance(self, i: int = 1, alnum: bool = False) -> None:
+ 795        if self.WHITE_SPACE.get(self._char) is TokenType.BREAK:
+ 796            self._col = 1
+ 797            self._line += 1
+ 798        else:
+ 799            self._col += i
+ 800
+ 801        self._current += i
+ 802        self._end = self._current >= self.size
+ 803        self._char = self.sql[self._current - 1]
+ 804        self._peek = "" if self._end else self.sql[self._current]
+ 805
+ 806        if alnum and self._char.isalnum():
+ 807            # Here we use local variables instead of attributes for better performance
+ 808            _col = self._col
+ 809            _current = self._current
+ 810            _end = self._end
+ 811            _peek = self._peek
+ 812
+ 813            while _peek.isalnum():
+ 814                _col += 1
+ 815                _current += 1
+ 816                _end = _current >= self.size
+ 817                _peek = "" if _end else self.sql[_current]
  818
- 819    def _add(self, token_type: TokenType, text: t.Optional[str] = None) -> None:
- 820        self._prev_token_line = self._line
- 821        self.tokens.append(
- 822            Token(
- 823                token_type,
- 824                text=self._text if text is None else text,
- 825                line=self._line,
- 826                col=self._col,
- 827                start=self._start,
- 828                end=self._current - 1,
- 829                comments=self._comments,
- 830            )
- 831        )
- 832        self._comments = []
- 833
- 834        # If we have either a semicolon or a begin token before the command's token, we'll parse
- 835        # whatever follows the command's token as a string
- 836        if (
- 837            token_type in self.COMMANDS
- 838            and self._peek != ";"
- 839            and (len(self.tokens) == 1 or self.tokens[-2].token_type in self.COMMAND_PREFIX_TOKENS)
- 840        ):
- 841            start = self._current
- 842            tokens = len(self.tokens)
- 843            self._scan(lambda: self._peek == ";")
- 844            self.tokens = self.tokens[:tokens]
- 845            text = self.sql[start : self._current].strip()
- 846            if text:
- 847                self._add(TokenType.STRING, text)
- 848
- 849    def _scan_keywords(self) -> None:
- 850        size = 0
- 851        word = None
- 852        chars = self._text
- 853        char = chars
- 854        prev_space = False
- 855        skip = False
- 856        trie = self.KEYWORD_TRIE
- 857        single_token = char in self.SINGLE_TOKENS
+ 819            self._col = _col
+ 820            self._current = _current
+ 821            self._end = _end
+ 822            self._peek = _peek
+ 823            self._char = self.sql[_current - 1]
+ 824
+ 825    @property
+ 826    def _text(self) -> str:
+ 827        return self.sql[self._start : self._current]
+ 828
+ 829    def _add(self, token_type: TokenType, text: t.Optional[str] = None) -> None:
+ 830        self._prev_token_line = self._line
+ 831        self.tokens.append(
+ 832            Token(
+ 833                token_type,
+ 834                text=self._text if text is None else text,
+ 835                line=self._line,
+ 836                col=self._col,
+ 837                start=self._start,
+ 838                end=self._current - 1,
+ 839                comments=self._comments,
+ 840            )
+ 841        )
+ 842        self._comments = []
+ 843
+ 844        # If we have either a semicolon or a begin token before the command's token, we'll parse
+ 845        # whatever follows the command's token as a string
+ 846        if (
+ 847            token_type in self.COMMANDS
+ 848            and self._peek != ";"
+ 849            and (len(self.tokens) == 1 or self.tokens[-2].token_type in self.COMMAND_PREFIX_TOKENS)
+ 850        ):
+ 851            start = self._current
+ 852            tokens = len(self.tokens)
+ 853            self._scan(lambda: self._peek == ";")
+ 854            self.tokens = self.tokens[:tokens]
+ 855            text = self.sql[start : self._current].strip()
+ 856            if text:
+ 857                self._add(TokenType.STRING, text)
  858
- 859        while chars:
- 860            if skip:
- 861                result = 1
- 862            else:
- 863                result, trie = in_trie(trie, char.upper())
- 864
- 865            if result == 0:
- 866                break
- 867            if result == 2:
- 868                word = chars
- 869
- 870            size += 1
- 871            end = self._current - 1 + size
- 872
- 873            if end < self.size:
- 874                char = self.sql[end]
- 875                single_token = single_token or char in self.SINGLE_TOKENS
- 876                is_space = char in self.WHITE_SPACE
- 877
- 878                if not is_space or not prev_space:
- 879                    if is_space:
- 880                        char = " "
- 881                    chars += char
- 882                    prev_space = is_space
- 883                    skip = False
- 884                else:
- 885                    skip = True
- 886            else:
- 887                char = ""
- 888                chars = " "
- 889
- 890        word = None if not single_token and chars[-1] not in self.WHITE_SPACE else word
- 891
- 892        if not word:
- 893            if self._char in self.SINGLE_TOKENS:
- 894                self._add(self.SINGLE_TOKENS[self._char], text=self._char)
- 895                return
- 896            self._scan_var()
- 897            return
- 898
- 899        if self._scan_string(word):
- 900            return
- 901        if self._scan_formatted_string(word):
- 902            return
- 903        if self._scan_comment(word):
- 904            return
- 905
- 906        self._advance(size - 1)
- 907        word = word.upper()
- 908        self._add(self.KEYWORDS[word], text=word)
- 909
- 910    def _scan_comment(self, comment_start: str) -> bool:
- 911        if comment_start not in self._COMMENTS:
- 912            return False
+ 859    def _scan_keywords(self) -> None:
+ 860        size = 0
+ 861        word = None
+ 862        chars = self._text
+ 863        char = chars
+ 864        prev_space = False
+ 865        skip = False
+ 866        trie = self.KEYWORD_TRIE
+ 867        single_token = char in self.SINGLE_TOKENS
+ 868
+ 869        while chars:
+ 870            if skip:
+ 871                result = 1
+ 872            else:
+ 873                result, trie = in_trie(trie, char.upper())
+ 874
+ 875            if result == 0:
+ 876                break
+ 877            if result == 2:
+ 878                word = chars
+ 879
+ 880            size += 1
+ 881            end = self._current - 1 + size
+ 882
+ 883            if end < self.size:
+ 884                char = self.sql[end]
+ 885                single_token = single_token or char in self.SINGLE_TOKENS
+ 886                is_space = char in self.WHITE_SPACE
+ 887
+ 888                if not is_space or not prev_space:
+ 889                    if is_space:
+ 890                        char = " "
+ 891                    chars += char
+ 892                    prev_space = is_space
+ 893                    skip = False
+ 894                else:
+ 895                    skip = True
+ 896            else:
+ 897                char = ""
+ 898                chars = " "
+ 899
+ 900        word = None if not single_token and chars[-1] not in self.WHITE_SPACE else word
+ 901
+ 902        if not word:
+ 903            if self._char in self.SINGLE_TOKENS:
+ 904                self._add(self.SINGLE_TOKENS[self._char], text=self._char)
+ 905                return
+ 906            self._scan_var()
+ 907            return
+ 908
+ 909        if self._scan_string(word):
+ 910            return
+ 911        if self._scan_comment(word):
+ 912            return
  913
- 914        comment_start_line = self._line
- 915        comment_start_size = len(comment_start)
- 916        comment_end = self._COMMENTS[comment_start]
+ 914        self._advance(size - 1)
+ 915        word = word.upper()
+ 916        self._add(self.KEYWORDS[word], text=word)
  917
- 918        if comment_end:
- 919            # Skip the comment's start delimiter
- 920            self._advance(comment_start_size)
+ 918    def _scan_comment(self, comment_start: str) -> bool:
+ 919        if comment_start not in self._COMMENTS:
+ 920            return False
  921
- 922            comment_end_size = len(comment_end)
- 923            while not self._end and self._chars(comment_end_size) != comment_end:
- 924                self._advance(alnum=True)
+ 922        comment_start_line = self._line
+ 923        comment_start_size = len(comment_start)
+ 924        comment_end = self._COMMENTS[comment_start]
  925
- 926            self._comments.append(self._text[comment_start_size : -comment_end_size + 1])
- 927            self._advance(comment_end_size - 1)
- 928        else:
- 929            while not self._end and not self.WHITE_SPACE.get(self._peek) is TokenType.BREAK:
- 930                self._advance(alnum=True)
- 931            self._comments.append(self._text[comment_start_size:])
- 932
- 933        # Leading comment is attached to the succeeding token, whilst trailing comment to the preceding.
- 934        # Multiple consecutive comments are preserved by appending them to the current comments list.
- 935        if comment_start_line == self._prev_token_line:
- 936            self.tokens[-1].comments.extend(self._comments)
- 937            self._comments = []
- 938            self._prev_token_line = self._line
- 939
- 940        return True
- 941
- 942    def _scan_number(self) -> None:
- 943        if self._char == "0":
- 944            peek = self._peek.upper()
- 945            if peek == "B":
- 946                return self._scan_bits() if self._BIT_STRINGS else self._add(TokenType.NUMBER)
- 947            elif peek == "X":
- 948                return self._scan_hex() if self._HEX_STRINGS else self._add(TokenType.NUMBER)
+ 926        if comment_end:
+ 927            # Skip the comment's start delimiter
+ 928            self._advance(comment_start_size)
+ 929
+ 930            comment_end_size = len(comment_end)
+ 931            while not self._end and self._chars(comment_end_size) != comment_end:
+ 932                self._advance(alnum=True)
+ 933
+ 934            self._comments.append(self._text[comment_start_size : -comment_end_size + 1])
+ 935            self._advance(comment_end_size - 1)
+ 936        else:
+ 937            while not self._end and not self.WHITE_SPACE.get(self._peek) is TokenType.BREAK:
+ 938                self._advance(alnum=True)
+ 939            self._comments.append(self._text[comment_start_size:])
+ 940
+ 941        # Leading comment is attached to the succeeding token, whilst trailing comment to the preceding.
+ 942        # Multiple consecutive comments are preserved by appending them to the current comments list.
+ 943        if comment_start_line == self._prev_token_line:
+ 944            self.tokens[-1].comments.extend(self._comments)
+ 945            self._comments = []
+ 946            self._prev_token_line = self._line
+ 947
+ 948        return True
  949
- 950        decimal = False
- 951        scientific = 0
- 952
- 953        while True:
- 954            if self._peek.isdigit():
- 955                self._advance()
- 956            elif self._peek == "." and not decimal:
- 957                decimal = True
- 958                self._advance()
- 959            elif self._peek in ("-", "+") and scientific == 1:
- 960                scientific += 1
- 961                self._advance()
- 962            elif self._peek.upper() == "E" and not scientific:
- 963                scientific += 1
- 964                self._advance()
- 965            elif self._peek.isidentifier():
- 966                number_text = self._text
- 967                literal = ""
- 968
- 969                while self._peek.strip() and self._peek not in self.SINGLE_TOKENS:
- 970                    literal += self._peek.upper()
- 971                    self._advance()
- 972
- 973                token_type = self.KEYWORDS.get(self.NUMERIC_LITERALS.get(literal))
- 974
- 975                if token_type:
- 976                    self._add(TokenType.NUMBER, number_text)
- 977                    self._add(TokenType.DCOLON, "::")
- 978                    return self._add(token_type, literal)
- 979                elif self.IDENTIFIER_CAN_START_WITH_DIGIT:
- 980                    return self._add(TokenType.VAR)
- 981
- 982                self._add(TokenType.NUMBER, number_text)
- 983                return self._advance(-len(literal))
- 984            else:
- 985                return self._add(TokenType.NUMBER)
- 986
- 987    def _scan_bits(self) -> None:
- 988        self._advance()
- 989        value = self._extract_value()
- 990        try:
- 991            # If `value` can't be converted to a binary, fallback to tokenizing it as an identifier
- 992            int(value, 2)
- 993            self._add(TokenType.BIT_STRING, value[2:])  # Drop the 0b
- 994        except ValueError:
- 995            self._add(TokenType.IDENTIFIER)
- 996
- 997    def _scan_hex(self) -> None:
- 998        self._advance()
- 999        value = self._extract_value()
-1000        try:
-1001            # If `value` can't be converted to a hex, fallback to tokenizing it as an identifier
-1002            int(value, 16)
-1003            self._add(TokenType.HEX_STRING, value[2:])  # Drop the 0x
-1004        except ValueError:
-1005            self._add(TokenType.IDENTIFIER)
-1006
-1007    def _extract_value(self) -> str:
-1008        while True:
-1009            char = self._peek.strip()
-1010            if char and char not in self.SINGLE_TOKENS:
-1011                self._advance(alnum=True)
-1012            else:
-1013                break
+ 950    def _scan_number(self) -> None:
+ 951        if self._char == "0":
+ 952            peek = self._peek.upper()
+ 953            if peek == "B":
+ 954                return self._scan_bits() if self.BIT_STRINGS else self._add(TokenType.NUMBER)
+ 955            elif peek == "X":
+ 956                return self._scan_hex() if self.HEX_STRINGS else self._add(TokenType.NUMBER)
+ 957
+ 958        decimal = False
+ 959        scientific = 0
+ 960
+ 961        while True:
+ 962            if self._peek.isdigit():
+ 963                self._advance()
+ 964            elif self._peek == "." and not decimal:
+ 965                decimal = True
+ 966                self._advance()
+ 967            elif self._peek in ("-", "+") and scientific == 1:
+ 968                scientific += 1
+ 969                self._advance()
+ 970            elif self._peek.upper() == "E" and not scientific:
+ 971                scientific += 1
+ 972                self._advance()
+ 973            elif self._peek.isidentifier():
+ 974                number_text = self._text
+ 975                literal = ""
+ 976
+ 977                while self._peek.strip() and self._peek not in self.SINGLE_TOKENS:
+ 978                    literal += self._peek.upper()
+ 979                    self._advance()
+ 980
+ 981                token_type = self.KEYWORDS.get(self.NUMERIC_LITERALS.get(literal))
+ 982
+ 983                if token_type:
+ 984                    self._add(TokenType.NUMBER, number_text)
+ 985                    self._add(TokenType.DCOLON, "::")
+ 986                    return self._add(token_type, literal)
+ 987                elif self.IDENTIFIER_CAN_START_WITH_DIGIT:
+ 988                    return self._add(TokenType.VAR)
+ 989
+ 990                self._add(TokenType.NUMBER, number_text)
+ 991                return self._advance(-len(literal))
+ 992            else:
+ 993                return self._add(TokenType.NUMBER)
+ 994
+ 995    def _scan_bits(self) -> None:
+ 996        self._advance()
+ 997        value = self._extract_value()
+ 998        try:
+ 999            # If `value` can't be converted to a binary, fallback to tokenizing it as an identifier
+1000            int(value, 2)
+1001            self._add(TokenType.BIT_STRING, value[2:])  # Drop the 0b
+1002        except ValueError:
+1003            self._add(TokenType.IDENTIFIER)
+1004
+1005    def _scan_hex(self) -> None:
+1006        self._advance()
+1007        value = self._extract_value()
+1008        try:
+1009            # If `value` can't be converted to a hex, fallback to tokenizing it as an identifier
+1010            int(value, 16)
+1011            self._add(TokenType.HEX_STRING, value[2:])  # Drop the 0x
+1012        except ValueError:
+1013            self._add(TokenType.IDENTIFIER)
 1014
-1015        return self._text
-1016
-1017    def _scan_string(self, quote: str) -> bool:
-1018        quote_end = self._QUOTES.get(quote)
-1019        if quote_end is None:
-1020            return False
-1021
-1022        self._advance(len(quote))
-1023        text = self._extract_string(quote_end)
-1024        text = text.encode(self.ENCODE).decode(self.ENCODE) if self.ENCODE else text
-1025        self._add(TokenType.NATIONAL if quote[0].upper() == "N" else TokenType.STRING, text)
-1026        return True
-1027
-1028    # X'1234', b'0110', E'\\\\\' etc.
-1029    def _scan_formatted_string(self, string_start: str) -> bool:
-1030        if string_start in self._HEX_STRINGS:
-1031            delimiters = self._HEX_STRINGS
-1032            token_type = TokenType.HEX_STRING
-1033            base = 16
-1034        elif string_start in self._BIT_STRINGS:
-1035            delimiters = self._BIT_STRINGS
-1036            token_type = TokenType.BIT_STRING
-1037            base = 2
-1038        elif string_start in self._BYTE_STRINGS:
-1039            delimiters = self._BYTE_STRINGS
-1040            token_type = TokenType.BYTE_STRING
-1041            base = None
-1042        else:
-1043            return False
-1044
-1045        self._advance(len(string_start))
-1046        string_end = delimiters[string_start]
-1047        text = self._extract_string(string_end)
-1048
-1049        if base:
-1050            try:
-1051                int(text, base)
-1052            except:
-1053                raise RuntimeError(
-1054                    f"Numeric string contains invalid characters from {self._line}:{self._start}"
-1055                )
+1015    def _extract_value(self) -> str:
+1016        while True:
+1017            char = self._peek.strip()
+1018            if char and char not in self.SINGLE_TOKENS:
+1019                self._advance(alnum=True)
+1020            else:
+1021                break
+1022
+1023        return self._text
+1024
+1025    def _scan_string(self, start: str) -> bool:
+1026        base = None
+1027        token_type = TokenType.STRING
+1028
+1029        if start in self._QUOTES:
+1030            end = self._QUOTES[start]
+1031        elif start in self._FORMAT_STRINGS:
+1032            end, token_type = self._FORMAT_STRINGS[start]
+1033
+1034            if token_type == TokenType.HEX_STRING:
+1035                base = 16
+1036            elif token_type == TokenType.BIT_STRING:
+1037                base = 2
+1038        else:
+1039            return False
+1040
+1041        self._advance(len(start))
+1042        text = self._extract_string(end)
+1043
+1044        if base:
+1045            try:
+1046                int(text, base)
+1047            except:
+1048                raise RuntimeError(
+1049                    f"Numeric string contains invalid characters from {self._line}:{self._start}"
+1050                )
+1051        else:
+1052            text = text.encode(self.ENCODE).decode(self.ENCODE) if self.ENCODE else text
+1053
+1054        self._add(token_type, text)
+1055        return True
 1056
-1057        self._add(token_type, text)
-1058        return True
-1059
-1060    def _scan_identifier(self, identifier_end: str) -> None:
-1061        self._advance()
-1062        text = self._extract_string(identifier_end, self._IDENTIFIER_ESCAPES)
-1063        self._add(TokenType.IDENTIFIER, text)
-1064
-1065    def _scan_var(self) -> None:
-1066        while True:
-1067            char = self._peek.strip()
-1068            if char and (char in self.VAR_SINGLE_TOKENS or char not in self.SINGLE_TOKENS):
-1069                self._advance(alnum=True)
-1070            else:
-1071                break
-1072
-1073        self._add(
-1074            TokenType.VAR
-1075            if self.tokens and self.tokens[-1].token_type == TokenType.PARAMETER
-1076            else self.KEYWORDS.get(self._text.upper(), TokenType.VAR)
-1077        )
-1078
-1079    def _extract_string(self, delimiter: str, escapes=None) -> str:
-1080        text = ""
-1081        delim_size = len(delimiter)
-1082        escapes = self._STRING_ESCAPES if escapes is None else escapes
-1083
-1084        while True:
-1085            if self._char in escapes and (self._peek == delimiter or self._peek in escapes):
-1086                if self._peek == delimiter:
-1087                    text += self._peek
-1088                else:
-1089                    text += self._char + self._peek
-1090
-1091                if self._current + 1 < self.size:
-1092                    self._advance(2)
-1093                else:
-1094                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._current}")
-1095            else:
-1096                if self._chars(delim_size) == delimiter:
-1097                    if delim_size > 1:
-1098                        self._advance(delim_size - 1)
-1099                    break
+1057    def _scan_identifier(self, identifier_end: str) -> None:
+1058        self._advance()
+1059        text = self._extract_string(identifier_end, self._IDENTIFIER_ESCAPES)
+1060        self._add(TokenType.IDENTIFIER, text)
+1061
+1062    def _scan_var(self) -> None:
+1063        while True:
+1064            char = self._peek.strip()
+1065            if char and (char in self.VAR_SINGLE_TOKENS or char not in self.SINGLE_TOKENS):
+1066                self._advance(alnum=True)
+1067            else:
+1068                break
+1069
+1070        self._add(
+1071            TokenType.VAR
+1072            if self.tokens and self.tokens[-1].token_type == TokenType.PARAMETER
+1073            else self.KEYWORDS.get(self._text.upper(), TokenType.VAR)
+1074        )
+1075
+1076    def _extract_string(self, delimiter: str, escapes=None) -> str:
+1077        text = ""
+1078        delim_size = len(delimiter)
+1079        escapes = self._STRING_ESCAPES if escapes is None else escapes
+1080
+1081        while True:
+1082            if self._char in escapes and (self._peek == delimiter or self._peek in escapes):
+1083                if self._peek == delimiter:
+1084                    text += self._peek
+1085                else:
+1086                    text += self._char + self._peek
+1087
+1088                if self._current + 1 < self.size:
+1089                    self._advance(2)
+1090                else:
+1091                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._current}")
+1092            else:
+1093                if self._chars(delim_size) == delimiter:
+1094                    if delim_size > 1:
+1095                        self._advance(delim_size - 1)
+1096                    break
+1097
+1098                if self._end:
+1099                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._start}")
 1100
-1101                if self._end:
-1102                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._start}")
-1103
-1104                current = self._current - 1
-1105                self._advance(alnum=True)
-1106                text += self.sql[current : self._current - 1]
-1107
-1108        return text
+1101                current = self._current - 1
+1102                self._advance(alnum=True)
+1103                text += self.sql[current : self._current - 1]
+1104
+1105        return text
 
    
 
 
@@ -2078,243 +2078,244 @@ 
    
  52    DOLLAR = auto()
  53    PARAMETER = auto()
  54    SESSION_PARAMETER = auto()
- 55    NATIONAL = auto()
- 56    DAMP = auto()
- 57
- 58    BLOCK_START = auto()
- 59    BLOCK_END = auto()
- 60
- 61    SPACE = auto()
- 62    BREAK = auto()
- 63
- 64    STRING = auto()
- 65    NUMBER = auto()
- 66    IDENTIFIER = auto()
- 67    DATABASE = auto()
- 68    COLUMN = auto()
- 69    COLUMN_DEF = auto()
- 70    SCHEMA = auto()
- 71    TABLE = auto()
- 72    VAR = auto()
- 73    BIT_STRING = auto()
- 74    HEX_STRING = auto()
- 75    BYTE_STRING = auto()
- 76
- 77    # types
- 78    BIT = auto()
- 79    BOOLEAN = auto()
- 80    TINYINT = auto()
- 81    UTINYINT = auto()
- 82    SMALLINT = auto()
- 83    USMALLINT = auto()
- 84    INT = auto()
- 85    UINT = auto()
- 86    BIGINT = auto()
- 87    UBIGINT = auto()
- 88    INT128 = auto()
- 89    UINT128 = auto()
- 90    INT256 = auto()
- 91    UINT256 = auto()
- 92    FLOAT = auto()
- 93    DOUBLE = auto()
- 94    DECIMAL = auto()
- 95    BIGDECIMAL = auto()
- 96    CHAR = auto()
- 97    NCHAR = auto()
- 98    VARCHAR = auto()
- 99    NVARCHAR = auto()
-100    TEXT = auto()
-101    MEDIUMTEXT = auto()
-102    LONGTEXT = auto()
-103    MEDIUMBLOB = auto()
-104    LONGBLOB = auto()
-105    BINARY = auto()
-106    VARBINARY = auto()
-107    JSON = auto()
-108    JSONB = auto()
-109    TIME = auto()
-110    TIMESTAMP = auto()
-111    TIMESTAMPTZ = auto()
-112    TIMESTAMPLTZ = auto()
-113    DATETIME = auto()
-114    DATETIME64 = auto()
-115    DATE = auto()
-116    UUID = auto()
-117    GEOGRAPHY = auto()
-118    NULLABLE = auto()
-119    GEOMETRY = auto()
-120    HLLSKETCH = auto()
-121    HSTORE = auto()
-122    SUPER = auto()
-123    SERIAL = auto()
-124    SMALLSERIAL = auto()
-125    BIGSERIAL = auto()
-126    XML = auto()
-127    UNIQUEIDENTIFIER = auto()
-128    MONEY = auto()
-129    SMALLMONEY = auto()
-130    ROWVERSION = auto()
-131    IMAGE = auto()
-132    VARIANT = auto()
-133    OBJECT = auto()
-134    INET = auto()
-135
-136    # keywords
-137    ALIAS = auto()
-138    ALTER = auto()
-139    ALWAYS = auto()
-140    ALL = auto()
-141    ANTI = auto()
-142    ANY = auto()
-143    APPLY = auto()
-144    ARRAY = auto()
-145    ASC = auto()
-146    ASOF = auto()
-147    AUTO_INCREMENT = auto()
-148    BEGIN = auto()
-149    BETWEEN = auto()
-150    CACHE = auto()
-151    CASE = auto()
-152    CHARACTER_SET = auto()
-153    COLLATE = auto()
-154    COMMAND = auto()
-155    COMMENT = auto()
-156    COMMIT = auto()
-157    CONSTRAINT = auto()
-158    CREATE = auto()
-159    CROSS = auto()
-160    CUBE = auto()
-161    CURRENT_DATE = auto()
-162    CURRENT_DATETIME = auto()
-163    CURRENT_TIME = auto()
-164    CURRENT_TIMESTAMP = auto()
-165    CURRENT_USER = auto()
-166    DEFAULT = auto()
-167    DELETE = auto()
-168    DESC = auto()
-169    DESCRIBE = auto()
-170    DISTINCT = auto()
-171    DIV = auto()
-172    DROP = auto()
-173    ELSE = auto()
-174    END = auto()
-175    ESCAPE = auto()
-176    EXCEPT = auto()
-177    EXECUTE = auto()
-178    EXISTS = auto()
-179    FALSE = auto()
-180    FETCH = auto()
-181    FILTER = auto()
-182    FINAL = auto()
-183    FIRST = auto()
-184    FOR = auto()
-185    FOREIGN_KEY = auto()
-186    FORMAT = auto()
-187    FROM = auto()
-188    FULL = auto()
-189    FUNCTION = auto()
-190    GLOB = auto()
-191    GLOBAL = auto()
-192    GROUP_BY = auto()
-193    GROUPING_SETS = auto()
-194    HAVING = auto()
-195    HINT = auto()
-196    IF = auto()
-197    ILIKE = auto()
-198    ILIKE_ANY = auto()
-199    IN = auto()
-200    INDEX = auto()
-201    INNER = auto()
-202    INSERT = auto()
-203    INTERSECT = auto()
-204    INTERVAL = auto()
-205    INTO = auto()
-206    INTRODUCER = auto()
-207    IRLIKE = auto()
-208    IS = auto()
-209    ISNULL = auto()
-210    JOIN = auto()
-211    JOIN_MARKER = auto()
-212    KEEP = auto()
-213    LANGUAGE = auto()
-214    LATERAL = auto()
-215    LEFT = auto()
-216    LIKE = auto()
-217    LIKE_ANY = auto()
-218    LIMIT = auto()
-219    LOAD = auto()
-220    LOCK = auto()
-221    MAP = auto()
-222    MATCH_RECOGNIZE = auto()
-223    MERGE = auto()
-224    MOD = auto()
-225    NATURAL = auto()
-226    NEXT = auto()
-227    NEXT_VALUE_FOR = auto()
-228    NOTNULL = auto()
-229    NULL = auto()
-230    OFFSET = auto()
-231    ON = auto()
-232    ORDER_BY = auto()
-233    ORDERED = auto()
-234    ORDINALITY = auto()
-235    OUTER = auto()
-236    OVER = auto()
-237    OVERLAPS = auto()
-238    OVERWRITE = auto()
-239    PARTITION = auto()
-240    PARTITION_BY = auto()
-241    PERCENT = auto()
-242    PIVOT = auto()
-243    PLACEHOLDER = auto()
-244    PRAGMA = auto()
-245    PRIMARY_KEY = auto()
-246    PROCEDURE = auto()
-247    PROPERTIES = auto()
-248    PSEUDO_TYPE = auto()
-249    QUALIFY = auto()
-250    QUOTE = auto()
-251    RANGE = auto()
-252    RECURSIVE = auto()
-253    REPLACE = auto()
-254    RETURNING = auto()
-255    REFERENCES = auto()
-256    RIGHT = auto()
-257    RLIKE = auto()
-258    ROLLBACK = auto()
-259    ROLLUP = auto()
-260    ROW = auto()
-261    ROWS = auto()
-262    SELECT = auto()
-263    SEMI = auto()
-264    SEPARATOR = auto()
-265    SERDE_PROPERTIES = auto()
-266    SET = auto()
-267    SETTINGS = auto()
-268    SHOW = auto()
-269    SIMILAR_TO = auto()
-270    SOME = auto()
-271    STRUCT = auto()
-272    TABLE_SAMPLE = auto()
-273    TEMPORARY = auto()
-274    TOP = auto()
-275    THEN = auto()
-276    TRUE = auto()
-277    UNCACHE = auto()
-278    UNION = auto()
-279    UNNEST = auto()
-280    UNPIVOT = auto()
-281    UPDATE = auto()
-282    USE = auto()
-283    USING = auto()
-284    VALUES = auto()
-285    VIEW = auto()
-286    VOLATILE = auto()
-287    WHEN = auto()
-288    WHERE = auto()
-289    WINDOW = auto()
-290    WITH = auto()
-291    UNIQUE = auto()
+ 55    DAMP = auto()
+ 56
+ 57    BLOCK_START = auto()
+ 58    BLOCK_END = auto()
+ 59
+ 60    SPACE = auto()
+ 61    BREAK = auto()
+ 62
+ 63    STRING = auto()
+ 64    NUMBER = auto()
+ 65    IDENTIFIER = auto()
+ 66    DATABASE = auto()
+ 67    COLUMN = auto()
+ 68    COLUMN_DEF = auto()
+ 69    SCHEMA = auto()
+ 70    TABLE = auto()
+ 71    VAR = auto()
+ 72    BIT_STRING = auto()
+ 73    HEX_STRING = auto()
+ 74    BYTE_STRING = auto()
+ 75    NATIONAL_STRING = auto()
+ 76    RAW_STRING = auto()
+ 77
+ 78    # types
+ 79    BIT = auto()
+ 80    BOOLEAN = auto()
+ 81    TINYINT = auto()
+ 82    UTINYINT = auto()
+ 83    SMALLINT = auto()
+ 84    USMALLINT = auto()
+ 85    INT = auto()
+ 86    UINT = auto()
+ 87    BIGINT = auto()
+ 88    UBIGINT = auto()
+ 89    INT128 = auto()
+ 90    UINT128 = auto()
+ 91    INT256 = auto()
+ 92    UINT256 = auto()
+ 93    FLOAT = auto()
+ 94    DOUBLE = auto()
+ 95    DECIMAL = auto()
+ 96    BIGDECIMAL = auto()
+ 97    CHAR = auto()
+ 98    NCHAR = auto()
+ 99    VARCHAR = auto()
+100    NVARCHAR = auto()
+101    TEXT = auto()
+102    MEDIUMTEXT = auto()
+103    LONGTEXT = auto()
+104    MEDIUMBLOB = auto()
+105    LONGBLOB = auto()
+106    BINARY = auto()
+107    VARBINARY = auto()
+108    JSON = auto()
+109    JSONB = auto()
+110    TIME = auto()
+111    TIMESTAMP = auto()
+112    TIMESTAMPTZ = auto()
+113    TIMESTAMPLTZ = auto()
+114    DATETIME = auto()
+115    DATETIME64 = auto()
+116    DATE = auto()
+117    UUID = auto()
+118    GEOGRAPHY = auto()
+119    NULLABLE = auto()
+120    GEOMETRY = auto()
+121    HLLSKETCH = auto()
+122    HSTORE = auto()
+123    SUPER = auto()
+124    SERIAL = auto()
+125    SMALLSERIAL = auto()
+126    BIGSERIAL = auto()
+127    XML = auto()
+128    UNIQUEIDENTIFIER = auto()
+129    MONEY = auto()
+130    SMALLMONEY = auto()
+131    ROWVERSION = auto()
+132    IMAGE = auto()
+133    VARIANT = auto()
+134    OBJECT = auto()
+135    INET = auto()
+136
+137    # keywords
+138    ALIAS = auto()
+139    ALTER = auto()
+140    ALWAYS = auto()
+141    ALL = auto()
+142    ANTI = auto()
+143    ANY = auto()
+144    APPLY = auto()
+145    ARRAY = auto()
+146    ASC = auto()
+147    ASOF = auto()
+148    AUTO_INCREMENT = auto()
+149    BEGIN = auto()
+150    BETWEEN = auto()
+151    CACHE = auto()
+152    CASE = auto()
+153    CHARACTER_SET = auto()
+154    COLLATE = auto()
+155    COMMAND = auto()
+156    COMMENT = auto()
+157    COMMIT = auto()
+158    CONSTRAINT = auto()
+159    CREATE = auto()
+160    CROSS = auto()
+161    CUBE = auto()
+162    CURRENT_DATE = auto()
+163    CURRENT_DATETIME = auto()
+164    CURRENT_TIME = auto()
+165    CURRENT_TIMESTAMP = auto()
+166    CURRENT_USER = auto()
+167    DEFAULT = auto()
+168    DELETE = auto()
+169    DESC = auto()
+170    DESCRIBE = auto()
+171    DISTINCT = auto()
+172    DIV = auto()
+173    DROP = auto()
+174    ELSE = auto()
+175    END = auto()
+176    ESCAPE = auto()
+177    EXCEPT = auto()
+178    EXECUTE = auto()
+179    EXISTS = auto()
+180    FALSE = auto()
+181    FETCH = auto()
+182    FILTER = auto()
+183    FINAL = auto()
+184    FIRST = auto()
+185    FOR = auto()
+186    FOREIGN_KEY = auto()
+187    FORMAT = auto()
+188    FROM = auto()
+189    FULL = auto()
+190    FUNCTION = auto()
+191    GLOB = auto()
+192    GLOBAL = auto()
+193    GROUP_BY = auto()
+194    GROUPING_SETS = auto()
+195    HAVING = auto()
+196    HINT = auto()
+197    IF = auto()
+198    ILIKE = auto()
+199    ILIKE_ANY = auto()
+200    IN = auto()
+201    INDEX = auto()
+202    INNER = auto()
+203    INSERT = auto()
+204    INTERSECT = auto()
+205    INTERVAL = auto()
+206    INTO = auto()
+207    INTRODUCER = auto()
+208    IRLIKE = auto()
+209    IS = auto()
+210    ISNULL = auto()
+211    JOIN = auto()
+212    JOIN_MARKER = auto()
+213    KEEP = auto()
+214    LANGUAGE = auto()
+215    LATERAL = auto()
+216    LEFT = auto()
+217    LIKE = auto()
+218    LIKE_ANY = auto()
+219    LIMIT = auto()
+220    LOAD = auto()
+221    LOCK = auto()
+222    MAP = auto()
+223    MATCH_RECOGNIZE = auto()
+224    MERGE = auto()
+225    MOD = auto()
+226    NATURAL = auto()
+227    NEXT = auto()
+228    NEXT_VALUE_FOR = auto()
+229    NOTNULL = auto()
+230    NULL = auto()
+231    OFFSET = auto()
+232    ON = auto()
+233    ORDER_BY = auto()
+234    ORDERED = auto()
+235    ORDINALITY = auto()
+236    OUTER = auto()
+237    OVER = auto()
+238    OVERLAPS = auto()
+239    OVERWRITE = auto()
+240    PARTITION = auto()
+241    PARTITION_BY = auto()
+242    PERCENT = auto()
+243    PIVOT = auto()
+244    PLACEHOLDER = auto()
+245    PRAGMA = auto()
+246    PRIMARY_KEY = auto()
+247    PROCEDURE = auto()
+248    PROPERTIES = auto()
+249    PSEUDO_TYPE = auto()
+250    QUALIFY = auto()
+251    QUOTE = auto()
+252    RANGE = auto()
+253    RECURSIVE = auto()
+254    REPLACE = auto()
+255    RETURNING = auto()
+256    REFERENCES = auto()
+257    RIGHT = auto()
+258    RLIKE = auto()
+259    ROLLBACK = auto()
+260    ROLLUP = auto()
+261    ROW = auto()
+262    ROWS = auto()
+263    SELECT = auto()
+264    SEMI = auto()
+265    SEPARATOR = auto()
+266    SERDE_PROPERTIES = auto()
+267    SET = auto()
+268    SETTINGS = auto()
+269    SHOW = auto()
+270    SIMILAR_TO = auto()
+271    SOME = auto()
+272    STRUCT = auto()
+273    TABLE_SAMPLE = auto()
+274    TEMPORARY = auto()
+275    TOP = auto()
+276    THEN = auto()
+277    TRUE = auto()
+278    UNCACHE = auto()
+279    UNION = auto()
+280    UNNEST = auto()
+281    UNPIVOT = auto()
+282    UPDATE = auto()
+283    USE = auto()
+284    USING = auto()
+285    VALUES = auto()
+286    VIEW = auto()
+287    VOLATILE = auto()
+288    WHEN = auto()
+289    WHERE = auto()
+290    WINDOW = auto()
+291    WITH = auto()
+292    UNIQUE = auto()
 
    
 
 
@@ -2837,18 +2838,6 @@ 
    
     
     
 
-                            
    
-                            
    
-                                
    
-            NATIONAL        =
-<TokenType.NATIONAL: 'NATIONAL'>
-
-        
-    
    
-    
-    
-    
-
                             
    
                             
    
                                 
    
@@ -3053,6 +3042,30 @@ 
    
     
     
 
+                            
    
+                            
    
+                                
    
+            NATIONAL_STRING        =
+<TokenType.NATIONAL_STRING: 'NATIONAL_STRING'>
+
+        
+    
    
+    
+    
+    
+
+                            
    
+                            
    
+                                
    
+            RAW_STRING        =
+<TokenType.RAW_STRING: 'RAW_STRING'>
+
+        
+    
    
+    
+    
+    
+
                             
    
                             
    
                                 
    
@@ -5620,60 +5633,60 @@ 
    Inherited Members
    
 
     
    
     
-            
    294class Token:
-295    __slots__ = ("token_type", "text", "line", "col", "start", "end", "comments")
-296
-297    @classmethod
-298    def number(cls, number: int) -> Token:
-299        """Returns a NUMBER token with `number` as its text."""
-300        return cls(TokenType.NUMBER, str(number))
-301
-302    @classmethod
-303    def string(cls, string: str) -> Token:
-304        """Returns a STRING token with `string` as its text."""
-305        return cls(TokenType.STRING, string)
-306
-307    @classmethod
-308    def identifier(cls, identifier: str) -> Token:
-309        """Returns an IDENTIFIER token with `identifier` as its text."""
-310        return cls(TokenType.IDENTIFIER, identifier)
-311
-312    @classmethod
-313    def var(cls, var: str) -> Token:
-314        """Returns an VAR token with `var` as its text."""
-315        return cls(TokenType.VAR, var)
-316
-317    def __init__(
-318        self,
-319        token_type: TokenType,
-320        text: str,
-321        line: int = 1,
-322        col: int = 1,
-323        start: int = 0,
-324        end: int = 0,
-325        comments: t.List[str] = [],
-326    ) -> None:
-327        """Token initializer.
-328
-329        Args:
-330            token_type: The TokenType Enum.
-331            text: The text of the token.
-332            line: The line that the token ends on.
-333            col: The column that the token ends on.
-334            start: The start index of the token.
-335            end: The ending index of the token.
-336        """
-337        self.token_type = token_type
-338        self.text = text
-339        self.line = line
-340        self.col = col
-341        self.start = start
-342        self.end = end
-343        self.comments = comments
-344
-345    def __repr__(self) -> str:
-346        attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__)
-347        return f"<Token {attributes}>"
+            
    295class Token:
+296    __slots__ = ("token_type", "text", "line", "col", "start", "end", "comments")
+297
+298    @classmethod
+299    def number(cls, number: int) -> Token:
+300        """Returns a NUMBER token with `number` as its text."""
+301        return cls(TokenType.NUMBER, str(number))
+302
+303    @classmethod
+304    def string(cls, string: str) -> Token:
+305        """Returns a STRING token with `string` as its text."""
+306        return cls(TokenType.STRING, string)
+307
+308    @classmethod
+309    def identifier(cls, identifier: str) -> Token:
+310        """Returns an IDENTIFIER token with `identifier` as its text."""
+311        return cls(TokenType.IDENTIFIER, identifier)
+312
+313    @classmethod
+314    def var(cls, var: str) -> Token:
+315        """Returns an VAR token with `var` as its text."""
+316        return cls(TokenType.VAR, var)
+317
+318    def __init__(
+319        self,
+320        token_type: TokenType,
+321        text: str,
+322        line: int = 1,
+323        col: int = 1,
+324        start: int = 0,
+325        end: int = 0,
+326        comments: t.List[str] = [],
+327    ) -> None:
+328        """Token initializer.
+329
+330        Args:
+331            token_type: The TokenType Enum.
+332            text: The text of the token.
+333            line: The line that the token ends on.
+334            col: The column that the token ends on.
+335            start: The start index of the token.
+336            end: The ending index of the token.
+337        """
+338        self.token_type = token_type
+339        self.text = text
+340        self.line = line
+341        self.col = col
+342        self.start = start
+343        self.end = end
+344        self.comments = comments
+345
+346    def __repr__(self) -> str:
+347        attributes = ", ".join(f"{k}: {getattr(self, k)}" for k in self.__slots__)
+348        return f"<Token {attributes}>"
 
    
 
 
@@ -5689,33 +5702,33 @@ 
    Inherited Members
    
 
     
    
     
-            
    317    def __init__(
-318        self,
-319        token_type: TokenType,
-320        text: str,
-321        line: int = 1,
-322        col: int = 1,
-323        start: int = 0,
-324        end: int = 0,
-325        comments: t.List[str] = [],
-326    ) -> None:
-327        """Token initializer.
-328
-329        Args:
-330            token_type: The TokenType Enum.
-331            text: The text of the token.
-332            line: The line that the token ends on.
-333            col: The column that the token ends on.
-334            start: The start index of the token.
-335            end: The ending index of the token.
-336        """
-337        self.token_type = token_type
-338        self.text = text
-339        self.line = line
-340        self.col = col
-341        self.start = start
-342        self.end = end
-343        self.comments = comments
+            
    318    def __init__(
+319        self,
+320        token_type: TokenType,
+321        text: str,
+322        line: int = 1,
+323        col: int = 1,
+324        start: int = 0,
+325        end: int = 0,
+326        comments: t.List[str] = [],
+327    ) -> None:
+328        """Token initializer.
+329
+330        Args:
+331            token_type: The TokenType Enum.
+332            text: The text of the token.
+333            line: The line that the token ends on.
+334            col: The column that the token ends on.
+335            start: The start index of the token.
+336            end: The ending index of the token.
+337        """
+338        self.token_type = token_type
+339        self.text = text
+340        self.line = line
+341        self.col = col
+342        self.start = start
+343        self.end = end
+344        self.comments = comments
 
    
 
 
@@ -5747,10 +5760,10 @@ 
    Arguments:
    
 
     
    
     
-            
    297    @classmethod
-298    def number(cls, number: int) -> Token:
-299        """Returns a NUMBER token with `number` as its text."""
-300        return cls(TokenType.NUMBER, str(number))
+            
    298    @classmethod
+299    def number(cls, number: int) -> Token:
+300        """Returns a NUMBER token with `number` as its text."""
+301        return cls(TokenType.NUMBER, str(number))
 
    
 
 
@@ -5771,10 +5784,10 @@ 
    Arguments:
    
 
     
    
     
-            
    302    @classmethod
-303    def string(cls, string: str) -> Token:
-304        """Returns a STRING token with `string` as its text."""
-305        return cls(TokenType.STRING, string)
+            
    303    @classmethod
+304    def string(cls, string: str) -> Token:
+305        """Returns a STRING token with `string` as its text."""
+306        return cls(TokenType.STRING, string)
 
    
 
 
@@ -5795,10 +5808,10 @@ 
    Arguments:
    
 
     
    
     
-            
    307    @classmethod
-308    def identifier(cls, identifier: str) -> Token:
-309        """Returns an IDENTIFIER token with `identifier` as its text."""
-310        return cls(TokenType.IDENTIFIER, identifier)
+            
    308    @classmethod
+309    def identifier(cls, identifier: str) -> Token:
+310        """Returns an IDENTIFIER token with `identifier` as its text."""
+311        return cls(TokenType.IDENTIFIER, identifier)
 
    
 
 
@@ -5819,10 +5832,10 @@ 
    Arguments:
    
 
     
    
     
-            
    312    @classmethod
-313    def var(cls, var: str) -> Token:
-314        """Returns an VAR token with `var` as its text."""
-315        return cls(TokenType.VAR, var)
+            
    313    @classmethod
+314    def var(cls, var: str) -> Token:
+315        """Returns an VAR token with `var` as its text."""
+316        return cls(TokenType.VAR, var)
 
    
 
 
@@ -5843,726 +5856,712 @@ 
    Arguments:
    
 
     
    
     
-            
     390class Tokenizer(metaclass=_Tokenizer):
- 391    SINGLE_TOKENS = {
- 392        "(": TokenType.L_PAREN,
- 393        ")": TokenType.R_PAREN,
- 394        "[": TokenType.L_BRACKET,
- 395        "]": TokenType.R_BRACKET,
- 396        "{": TokenType.L_BRACE,
- 397        "}": TokenType.R_BRACE,
- 398        "&": TokenType.AMP,
- 399        "^": TokenType.CARET,
- 400        ":": TokenType.COLON,
- 401        ",": TokenType.COMMA,
- 402        ".": TokenType.DOT,
- 403        "-": TokenType.DASH,
- 404        "=": TokenType.EQ,
- 405        ">": TokenType.GT,
- 406        "<": TokenType.LT,
- 407        "%": TokenType.MOD,
- 408        "!": TokenType.NOT,
- 409        "|": TokenType.PIPE,
- 410        "+": TokenType.PLUS,
- 411        ";": TokenType.SEMICOLON,
- 412        "/": TokenType.SLASH,
- 413        "\\": TokenType.BACKSLASH,
- 414        "*": TokenType.STAR,
- 415        "~": TokenType.TILDA,
- 416        "?": TokenType.PLACEHOLDER,
- 417        "@": TokenType.PARAMETER,
- 418        # used for breaking a var like x'y' but nothing else
- 419        # the token type doesn't matter
- 420        "'": TokenType.QUOTE,
- 421        "`": TokenType.IDENTIFIER,
- 422        '"': TokenType.IDENTIFIER,
- 423        "#": TokenType.HASH,
- 424    }
- 425
- 426    BIT_STRINGS: t.List[str | t.Tuple[str, str]] = []
- 427    BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = []
- 428    HEX_STRINGS: t.List[str | t.Tuple[str, str]] = []
- 429    IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"']
- 430    IDENTIFIER_ESCAPES = ['"']
- 431    QUOTES: t.List[t.Tuple[str, str] | str] = ["'"]
- 432    STRING_ESCAPES = ["'"]
- 433    VAR_SINGLE_TOKENS: t.Set[str] = set()
- 434
- 435    _COMMENTS: t.Dict[str, str] = {}
- 436    _BIT_STRINGS: t.Dict[str, str] = {}
- 437    _BYTE_STRINGS: t.Dict[str, str] = {}
- 438    _HEX_STRINGS: t.Dict[str, str] = {}
- 439    _IDENTIFIERS: t.Dict[str, str] = {}
- 440    _IDENTIFIER_ESCAPES: t.Set[str] = set()
- 441    _QUOTES: t.Dict[str, str] = {}
- 442    _STRING_ESCAPES: t.Set[str] = set()
- 443
- 444    KEYWORDS: t.Dict[t.Optional[str], TokenType] = {
- 445        **{f"{{%{postfix}": TokenType.BLOCK_START for postfix in ("", "+", "-")},
- 446        **{f"{prefix}%}}": TokenType.BLOCK_END for prefix in ("", "+", "-")},
- 447        "{{+": TokenType.BLOCK_START,
- 448        "{{-": TokenType.BLOCK_START,
- 449        "+}}": TokenType.BLOCK_END,
- 450        "-}}": TokenType.BLOCK_END,
- 451        "/*+": TokenType.HINT,
- 452        "==": TokenType.EQ,
- 453        "::": TokenType.DCOLON,
- 454        "||": TokenType.DPIPE,
- 455        ">=": TokenType.GTE,
- 456        "<=": TokenType.LTE,
- 457        "<>": TokenType.NEQ,
- 458        "!=": TokenType.NEQ,
- 459        "<=>": TokenType.NULLSAFE_EQ,
- 460        "->": TokenType.ARROW,
- 461        "->>": TokenType.DARROW,
- 462        "=>": TokenType.FARROW,
- 463        "#>": TokenType.HASH_ARROW,
- 464        "#>>": TokenType.DHASH_ARROW,
- 465        "<->": TokenType.LR_ARROW,
- 466        "&&": TokenType.DAMP,
- 467        "ALL": TokenType.ALL,
- 468        "ALWAYS": TokenType.ALWAYS,
- 469        "AND": TokenType.AND,
- 470        "ANTI": TokenType.ANTI,
- 471        "ANY": TokenType.ANY,
- 472        "ASC": TokenType.ASC,
- 473        "AS": TokenType.ALIAS,
- 474        "AUTOINCREMENT": TokenType.AUTO_INCREMENT,
- 475        "AUTO_INCREMENT": TokenType.AUTO_INCREMENT,
- 476        "BEGIN": TokenType.BEGIN,
- 477        "BETWEEN": TokenType.BETWEEN,
- 478        "CACHE": TokenType.CACHE,
- 479        "UNCACHE": TokenType.UNCACHE,
- 480        "CASE": TokenType.CASE,
- 481        "CHARACTER SET": TokenType.CHARACTER_SET,
- 482        "COLLATE": TokenType.COLLATE,
- 483        "COLUMN": TokenType.COLUMN,
- 484        "COMMIT": TokenType.COMMIT,
- 485        "CONSTRAINT": TokenType.CONSTRAINT,
- 486        "CREATE": TokenType.CREATE,
- 487        "CROSS": TokenType.CROSS,
- 488        "CUBE": TokenType.CUBE,
- 489        "CURRENT_DATE": TokenType.CURRENT_DATE,
- 490        "CURRENT_TIME": TokenType.CURRENT_TIME,
- 491        "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP,
- 492        "CURRENT_USER": TokenType.CURRENT_USER,
- 493        "DATABASE": TokenType.DATABASE,
- 494        "DEFAULT": TokenType.DEFAULT,
- 495        "DELETE": TokenType.DELETE,
- 496        "DESC": TokenType.DESC,
- 497        "DESCRIBE": TokenType.DESCRIBE,
- 498        "DISTINCT": TokenType.DISTINCT,
- 499        "DIV": TokenType.DIV,
- 500        "DROP": TokenType.DROP,
- 501        "ELSE": TokenType.ELSE,
- 502        "END": TokenType.END,
- 503        "ESCAPE": TokenType.ESCAPE,
- 504        "EXCEPT": TokenType.EXCEPT,
- 505        "EXECUTE": TokenType.EXECUTE,
- 506        "EXISTS": TokenType.EXISTS,
- 507        "FALSE": TokenType.FALSE,
- 508        "FETCH": TokenType.FETCH,
- 509        "FILTER": TokenType.FILTER,
- 510        "FIRST": TokenType.FIRST,
- 511        "FULL": TokenType.FULL,
- 512        "FUNCTION": TokenType.FUNCTION,
- 513        "FOR": TokenType.FOR,
- 514        "FOREIGN KEY": TokenType.FOREIGN_KEY,
- 515        "FORMAT": TokenType.FORMAT,
- 516        "FROM": TokenType.FROM,
- 517        "GEOGRAPHY": TokenType.GEOGRAPHY,
- 518        "GEOMETRY": TokenType.GEOMETRY,
- 519        "GLOB": TokenType.GLOB,
- 520        "GROUP BY": TokenType.GROUP_BY,
- 521        "GROUPING SETS": TokenType.GROUPING_SETS,
- 522        "HAVING": TokenType.HAVING,
- 523        "IF": TokenType.IF,
- 524        "ILIKE": TokenType.ILIKE,
- 525        "IN": TokenType.IN,
- 526        "INDEX": TokenType.INDEX,
- 527        "INET": TokenType.INET,
- 528        "INNER": TokenType.INNER,
- 529        "INSERT": TokenType.INSERT,
- 530        "INTERVAL": TokenType.INTERVAL,
- 531        "INTERSECT": TokenType.INTERSECT,
- 532        "INTO": TokenType.INTO,
- 533        "IS": TokenType.IS,
- 534        "ISNULL": TokenType.ISNULL,
- 535        "JOIN": TokenType.JOIN,
- 536        "KEEP": TokenType.KEEP,
- 537        "LATERAL": TokenType.LATERAL,
- 538        "LEFT": TokenType.LEFT,
- 539        "LIKE": TokenType.LIKE,
- 540        "LIMIT": TokenType.LIMIT,
- 541        "LOAD": TokenType.LOAD,
- 542        "LOCK": TokenType.LOCK,
- 543        "MERGE": TokenType.MERGE,
- 544        "NATURAL": TokenType.NATURAL,
- 545        "NEXT": TokenType.NEXT,
- 546        "NEXT VALUE FOR": TokenType.NEXT_VALUE_FOR,
- 547        "NOT": TokenType.NOT,
- 548        "NOTNULL": TokenType.NOTNULL,
- 549        "NULL": TokenType.NULL,
- 550        "OBJECT": TokenType.OBJECT,
- 551        "OFFSET": TokenType.OFFSET,
- 552        "ON": TokenType.ON,
- 553        "OR": TokenType.OR,
- 554        "ORDER BY": TokenType.ORDER_BY,
- 555        "ORDINALITY": TokenType.ORDINALITY,
- 556        "OUTER": TokenType.OUTER,
- 557        "OVER": TokenType.OVER,
- 558        "OVERLAPS": TokenType.OVERLAPS,
- 559        "OVERWRITE": TokenType.OVERWRITE,
- 560        "PARTITION": TokenType.PARTITION,
- 561        "PARTITION BY": TokenType.PARTITION_BY,
- 562        "PARTITIONED BY": TokenType.PARTITION_BY,
- 563        "PARTITIONED_BY": TokenType.PARTITION_BY,
- 564        "PERCENT": TokenType.PERCENT,
- 565        "PIVOT": TokenType.PIVOT,
- 566        "PRAGMA": TokenType.PRAGMA,
- 567        "PRIMARY KEY": TokenType.PRIMARY_KEY,
- 568        "PROCEDURE": TokenType.PROCEDURE,
- 569        "QUALIFY": TokenType.QUALIFY,
- 570        "RANGE": TokenType.RANGE,
- 571        "RECURSIVE": TokenType.RECURSIVE,
- 572        "REGEXP": TokenType.RLIKE,
- 573        "REPLACE": TokenType.REPLACE,
- 574        "REFERENCES": TokenType.REFERENCES,
- 575        "RIGHT": TokenType.RIGHT,
- 576        "RLIKE": TokenType.RLIKE,
- 577        "ROLLBACK": TokenType.ROLLBACK,
- 578        "ROLLUP": TokenType.ROLLUP,
- 579        "ROW": TokenType.ROW,
- 580        "ROWS": TokenType.ROWS,
- 581        "SCHEMA": TokenType.SCHEMA,
- 582        "SELECT": TokenType.SELECT,
- 583        "SEMI": TokenType.SEMI,
- 584        "SET": TokenType.SET,
- 585        "SETTINGS": TokenType.SETTINGS,
- 586        "SHOW": TokenType.SHOW,
- 587        "SIMILAR TO": TokenType.SIMILAR_TO,
- 588        "SOME": TokenType.SOME,
- 589        "TABLE": TokenType.TABLE,
- 590        "TABLESAMPLE": TokenType.TABLE_SAMPLE,
- 591        "TEMP": TokenType.TEMPORARY,
- 592        "TEMPORARY": TokenType.TEMPORARY,
- 593        "THEN": TokenType.THEN,
- 594        "TRUE": TokenType.TRUE,
- 595        "UNION": TokenType.UNION,
- 596        "UNNEST": TokenType.UNNEST,
- 597        "UNPIVOT": TokenType.UNPIVOT,
- 598        "UPDATE": TokenType.UPDATE,
- 599        "USE": TokenType.USE,
- 600        "USING": TokenType.USING,
- 601        "UUID": TokenType.UUID,
- 602        "VALUES": TokenType.VALUES,
- 603        "VIEW": TokenType.VIEW,
- 604        "VOLATILE": TokenType.VOLATILE,
- 605        "WHEN": TokenType.WHEN,
- 606        "WHERE": TokenType.WHERE,
- 607        "WINDOW": TokenType.WINDOW,
- 608        "WITH": TokenType.WITH,
- 609        "APPLY": TokenType.APPLY,
- 610        "ARRAY": TokenType.ARRAY,
- 611        "BIT": TokenType.BIT,
- 612        "BOOL": TokenType.BOOLEAN,
- 613        "BOOLEAN": TokenType.BOOLEAN,
- 614        "BYTE": TokenType.TINYINT,
- 615        "TINYINT": TokenType.TINYINT,
- 616        "SHORT": TokenType.SMALLINT,
- 617        "SMALLINT": TokenType.SMALLINT,
- 618        "INT2": TokenType.SMALLINT,
- 619        "INTEGER": TokenType.INT,
- 620        "INT": TokenType.INT,
- 621        "INT4": TokenType.INT,
- 622        "LONG": TokenType.BIGINT,
- 623        "BIGINT": TokenType.BIGINT,
- 624        "INT8": TokenType.BIGINT,
- 625        "DEC": TokenType.DECIMAL,
- 626        "DECIMAL": TokenType.DECIMAL,
- 627        "BIGDECIMAL": TokenType.BIGDECIMAL,
- 628        "BIGNUMERIC": TokenType.BIGDECIMAL,
- 629        "MAP": TokenType.MAP,
- 630        "NULLABLE": TokenType.NULLABLE,
- 631        "NUMBER": TokenType.DECIMAL,
- 632        "NUMERIC": TokenType.DECIMAL,
- 633        "FIXED": TokenType.DECIMAL,
- 634        "REAL": TokenType.FLOAT,
- 635        "FLOAT": TokenType.FLOAT,
- 636        "FLOAT4": TokenType.FLOAT,
- 637        "FLOAT8": TokenType.DOUBLE,
- 638        "DOUBLE": TokenType.DOUBLE,
- 639        "DOUBLE PRECISION": TokenType.DOUBLE,
- 640        "JSON": TokenType.JSON,
- 641        "CHAR": TokenType.CHAR,
- 642        "CHARACTER": TokenType.CHAR,
- 643        "NCHAR": TokenType.NCHAR,
- 644        "VARCHAR": TokenType.VARCHAR,
- 645        "VARCHAR2": TokenType.VARCHAR,
- 646        "NVARCHAR": TokenType.NVARCHAR,
- 647        "NVARCHAR2": TokenType.NVARCHAR,
- 648        "STR": TokenType.TEXT,
- 649        "STRING": TokenType.TEXT,
- 650        "TEXT": TokenType.TEXT,
- 651        "CLOB": TokenType.TEXT,
- 652        "LONGVARCHAR": TokenType.TEXT,
- 653        "BINARY": TokenType.BINARY,
- 654        "BLOB": TokenType.VARBINARY,
- 655        "BYTEA": TokenType.VARBINARY,
- 656        "VARBINARY": TokenType.VARBINARY,
- 657        "TIME": TokenType.TIME,
- 658        "TIMESTAMP": TokenType.TIMESTAMP,
- 659        "TIMESTAMPTZ": TokenType.TIMESTAMPTZ,
- 660        "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ,
- 661        "DATE": TokenType.DATE,
- 662        "DATETIME": TokenType.DATETIME,
- 663        "UNIQUE": TokenType.UNIQUE,
- 664        "STRUCT": TokenType.STRUCT,
- 665        "VARIANT": TokenType.VARIANT,
- 666        "ALTER": TokenType.ALTER,
- 667        "ANALYZE": TokenType.COMMAND,
- 668        "CALL": TokenType.COMMAND,
- 669        "COMMENT": TokenType.COMMENT,
- 670        "COPY": TokenType.COMMAND,
- 671        "EXPLAIN": TokenType.COMMAND,
- 672        "GRANT": TokenType.COMMAND,
- 673        "OPTIMIZE": TokenType.COMMAND,
- 674        "PREPARE": TokenType.COMMAND,
- 675        "TRUNCATE": TokenType.COMMAND,
- 676        "VACUUM": TokenType.COMMAND,
- 677    }
- 678
- 679    WHITE_SPACE: t.Dict[t.Optional[str], TokenType] = {
- 680        " ": TokenType.SPACE,
- 681        "\t": TokenType.SPACE,
- 682        "\n": TokenType.BREAK,
- 683        "\r": TokenType.BREAK,
- 684        "\r\n": TokenType.BREAK,
- 685    }
- 686
- 687    COMMANDS = {
- 688        TokenType.COMMAND,
- 689        TokenType.EXECUTE,
- 690        TokenType.FETCH,
- 691        TokenType.SHOW,
- 692    }
- 693
- 694    COMMAND_PREFIX_TOKENS = {TokenType.SEMICOLON, TokenType.BEGIN}
- 695
- 696    # handle numeric literals like in hive (3L = BIGINT)
- 697    NUMERIC_LITERALS: t.Dict[str, str] = {}
- 698    ENCODE: t.Optional[str] = None
- 699
- 700    COMMENTS = ["--", ("/*", "*/"), ("{#", "#}")]
- 701    KEYWORD_TRIE: t.Dict = {}  # autofilled
- 702
- 703    IDENTIFIER_CAN_START_WITH_DIGIT = False
- 704
- 705    __slots__ = (
- 706        "sql",
- 707        "size",
- 708        "tokens",
- 709        "_start",
- 710        "_current",
- 711        "_line",
- 712        "_col",
- 713        "_comments",
- 714        "_char",
- 715        "_end",
- 716        "_peek",
- 717        "_prev_token_line",
- 718    )
- 719
- 720    def __init__(self) -> None:
- 721        self.reset()
- 722
- 723    def reset(self) -> None:
- 724        self.sql = ""
- 725        self.size = 0
- 726        self.tokens: t.List[Token] = []
- 727        self._start = 0
- 728        self._current = 0
- 729        self._line = 1
- 730        self._col = 0
- 731        self._comments: t.List[str] = []
+            
     401class Tokenizer(metaclass=_Tokenizer):
+ 402    SINGLE_TOKENS = {
+ 403        "(": TokenType.L_PAREN,
+ 404        ")": TokenType.R_PAREN,
+ 405        "[": TokenType.L_BRACKET,
+ 406        "]": TokenType.R_BRACKET,
+ 407        "{": TokenType.L_BRACE,
+ 408        "}": TokenType.R_BRACE,
+ 409        "&": TokenType.AMP,
+ 410        "^": TokenType.CARET,
+ 411        ":": TokenType.COLON,
+ 412        ",": TokenType.COMMA,
+ 413        ".": TokenType.DOT,
+ 414        "-": TokenType.DASH,
+ 415        "=": TokenType.EQ,
+ 416        ">": TokenType.GT,
+ 417        "<": TokenType.LT,
+ 418        "%": TokenType.MOD,
+ 419        "!": TokenType.NOT,
+ 420        "|": TokenType.PIPE,
+ 421        "+": TokenType.PLUS,
+ 422        ";": TokenType.SEMICOLON,
+ 423        "/": TokenType.SLASH,
+ 424        "\\": TokenType.BACKSLASH,
+ 425        "*": TokenType.STAR,
+ 426        "~": TokenType.TILDA,
+ 427        "?": TokenType.PLACEHOLDER,
+ 428        "@": TokenType.PARAMETER,
+ 429        # used for breaking a var like x'y' but nothing else
+ 430        # the token type doesn't matter
+ 431        "'": TokenType.QUOTE,
+ 432        "`": TokenType.IDENTIFIER,
+ 433        '"': TokenType.IDENTIFIER,
+ 434        "#": TokenType.HASH,
+ 435    }
+ 436
+ 437    BIT_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 438    BYTE_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 439    HEX_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 440    RAW_STRINGS: t.List[str | t.Tuple[str, str]] = []
+ 441    IDENTIFIERS: t.List[str | t.Tuple[str, str]] = ['"']
+ 442    IDENTIFIER_ESCAPES = ['"']
+ 443    QUOTES: t.List[t.Tuple[str, str] | str] = ["'"]
+ 444    STRING_ESCAPES = ["'"]
+ 445    VAR_SINGLE_TOKENS: t.Set[str] = set()
+ 446
+ 447    _COMMENTS: t.Dict[str, str] = {}
+ 448    _FORMAT_STRINGS: t.Dict[str, t.Tuple[str, TokenType]] = {}
+ 449    _IDENTIFIERS: t.Dict[str, str] = {}
+ 450    _IDENTIFIER_ESCAPES: t.Set[str] = set()
+ 451    _QUOTES: t.Dict[str, str] = {}
+ 452    _STRING_ESCAPES: t.Set[str] = set()
+ 453
+ 454    KEYWORDS: t.Dict[t.Optional[str], TokenType] = {
+ 455        **{f"{{%{postfix}": TokenType.BLOCK_START for postfix in ("", "+", "-")},
+ 456        **{f"{prefix}%}}": TokenType.BLOCK_END for prefix in ("", "+", "-")},
+ 457        "{{+": TokenType.BLOCK_START,
+ 458        "{{-": TokenType.BLOCK_START,
+ 459        "+}}": TokenType.BLOCK_END,
+ 460        "-}}": TokenType.BLOCK_END,
+ 461        "/*+": TokenType.HINT,
+ 462        "==": TokenType.EQ,
+ 463        "::": TokenType.DCOLON,
+ 464        "||": TokenType.DPIPE,
+ 465        ">=": TokenType.GTE,
+ 466        "<=": TokenType.LTE,
+ 467        "<>": TokenType.NEQ,
+ 468        "!=": TokenType.NEQ,
+ 469        "<=>": TokenType.NULLSAFE_EQ,
+ 470        "->": TokenType.ARROW,
+ 471        "->>": TokenType.DARROW,
+ 472        "=>": TokenType.FARROW,
+ 473        "#>": TokenType.HASH_ARROW,
+ 474        "#>>": TokenType.DHASH_ARROW,
+ 475        "<->": TokenType.LR_ARROW,
+ 476        "&&": TokenType.DAMP,
+ 477        "ALL": TokenType.ALL,
+ 478        "ALWAYS": TokenType.ALWAYS,
+ 479        "AND": TokenType.AND,
+ 480        "ANTI": TokenType.ANTI,
+ 481        "ANY": TokenType.ANY,
+ 482        "ASC": TokenType.ASC,
+ 483        "AS": TokenType.ALIAS,
+ 484        "AUTOINCREMENT": TokenType.AUTO_INCREMENT,
+ 485        "AUTO_INCREMENT": TokenType.AUTO_INCREMENT,
+ 486        "BEGIN": TokenType.BEGIN,
+ 487        "BETWEEN": TokenType.BETWEEN,
+ 488        "CACHE": TokenType.CACHE,
+ 489        "UNCACHE": TokenType.UNCACHE,
+ 490        "CASE": TokenType.CASE,
+ 491        "CHARACTER SET": TokenType.CHARACTER_SET,
+ 492        "COLLATE": TokenType.COLLATE,
+ 493        "COLUMN": TokenType.COLUMN,
+ 494        "COMMIT": TokenType.COMMIT,
+ 495        "CONSTRAINT": TokenType.CONSTRAINT,
+ 496        "CREATE": TokenType.CREATE,
+ 497        "CROSS": TokenType.CROSS,
+ 498        "CUBE": TokenType.CUBE,
+ 499        "CURRENT_DATE": TokenType.CURRENT_DATE,
+ 500        "CURRENT_TIME": TokenType.CURRENT_TIME,
+ 501        "CURRENT_TIMESTAMP": TokenType.CURRENT_TIMESTAMP,
+ 502        "CURRENT_USER": TokenType.CURRENT_USER,
+ 503        "DATABASE": TokenType.DATABASE,
+ 504        "DEFAULT": TokenType.DEFAULT,
+ 505        "DELETE": TokenType.DELETE,
+ 506        "DESC": TokenType.DESC,
+ 507        "DESCRIBE": TokenType.DESCRIBE,
+ 508        "DISTINCT": TokenType.DISTINCT,
+ 509        "DIV": TokenType.DIV,
+ 510        "DROP": TokenType.DROP,
+ 511        "ELSE": TokenType.ELSE,
+ 512        "END": TokenType.END,
+ 513        "ESCAPE": TokenType.ESCAPE,
+ 514        "EXCEPT": TokenType.EXCEPT,
+ 515        "EXECUTE": TokenType.EXECUTE,
+ 516        "EXISTS": TokenType.EXISTS,
+ 517        "FALSE": TokenType.FALSE,
+ 518        "FETCH": TokenType.FETCH,
+ 519        "FILTER": TokenType.FILTER,
+ 520        "FIRST": TokenType.FIRST,
+ 521        "FULL": TokenType.FULL,
+ 522        "FUNCTION": TokenType.FUNCTION,
+ 523        "FOR": TokenType.FOR,
+ 524        "FOREIGN KEY": TokenType.FOREIGN_KEY,
+ 525        "FORMAT": TokenType.FORMAT,
+ 526        "FROM": TokenType.FROM,
+ 527        "GEOGRAPHY": TokenType.GEOGRAPHY,
+ 528        "GEOMETRY": TokenType.GEOMETRY,
+ 529        "GLOB": TokenType.GLOB,
+ 530        "GROUP BY": TokenType.GROUP_BY,
+ 531        "GROUPING SETS": TokenType.GROUPING_SETS,
+ 532        "HAVING": TokenType.HAVING,
+ 533        "IF": TokenType.IF,
+ 534        "ILIKE": TokenType.ILIKE,
+ 535        "IN": TokenType.IN,
+ 536        "INDEX": TokenType.INDEX,
+ 537        "INET": TokenType.INET,
+ 538        "INNER": TokenType.INNER,
+ 539        "INSERT": TokenType.INSERT,
+ 540        "INTERVAL": TokenType.INTERVAL,
+ 541        "INTERSECT": TokenType.INTERSECT,
+ 542        "INTO": TokenType.INTO,
+ 543        "IS": TokenType.IS,
+ 544        "ISNULL": TokenType.ISNULL,
+ 545        "JOIN": TokenType.JOIN,
+ 546        "KEEP": TokenType.KEEP,
+ 547        "LATERAL": TokenType.LATERAL,
+ 548        "LEFT": TokenType.LEFT,
+ 549        "LIKE": TokenType.LIKE,
+ 550        "LIMIT": TokenType.LIMIT,
+ 551        "LOAD": TokenType.LOAD,
+ 552        "LOCK": TokenType.LOCK,
+ 553        "MERGE": TokenType.MERGE,
+ 554        "NATURAL": TokenType.NATURAL,
+ 555        "NEXT": TokenType.NEXT,
+ 556        "NEXT VALUE FOR": TokenType.NEXT_VALUE_FOR,
+ 557        "NOT": TokenType.NOT,
+ 558        "NOTNULL": TokenType.NOTNULL,
+ 559        "NULL": TokenType.NULL,
+ 560        "OBJECT": TokenType.OBJECT,
+ 561        "OFFSET": TokenType.OFFSET,
+ 562        "ON": TokenType.ON,
+ 563        "OR": TokenType.OR,
+ 564        "ORDER BY": TokenType.ORDER_BY,
+ 565        "ORDINALITY": TokenType.ORDINALITY,
+ 566        "OUTER": TokenType.OUTER,
+ 567        "OVER": TokenType.OVER,
+ 568        "OVERLAPS": TokenType.OVERLAPS,
+ 569        "OVERWRITE": TokenType.OVERWRITE,
+ 570        "PARTITION": TokenType.PARTITION,
+ 571        "PARTITION BY": TokenType.PARTITION_BY,
+ 572        "PARTITIONED BY": TokenType.PARTITION_BY,
+ 573        "PARTITIONED_BY": TokenType.PARTITION_BY,
+ 574        "PERCENT": TokenType.PERCENT,
+ 575        "PIVOT": TokenType.PIVOT,
+ 576        "PRAGMA": TokenType.PRAGMA,
+ 577        "PRIMARY KEY": TokenType.PRIMARY_KEY,
+ 578        "PROCEDURE": TokenType.PROCEDURE,
+ 579        "QUALIFY": TokenType.QUALIFY,
+ 580        "RANGE": TokenType.RANGE,
+ 581        "RECURSIVE": TokenType.RECURSIVE,
+ 582        "REGEXP": TokenType.RLIKE,
+ 583        "REPLACE": TokenType.REPLACE,
+ 584        "REFERENCES": TokenType.REFERENCES,
+ 585        "RIGHT": TokenType.RIGHT,
+ 586        "RLIKE": TokenType.RLIKE,
+ 587        "ROLLBACK": TokenType.ROLLBACK,
+ 588        "ROLLUP": TokenType.ROLLUP,
+ 589        "ROW": TokenType.ROW,
+ 590        "ROWS": TokenType.ROWS,
+ 591        "SCHEMA": TokenType.SCHEMA,
+ 592        "SELECT": TokenType.SELECT,
+ 593        "SEMI": TokenType.SEMI,
+ 594        "SET": TokenType.SET,
+ 595        "SETTINGS": TokenType.SETTINGS,
+ 596        "SHOW": TokenType.SHOW,
+ 597        "SIMILAR TO": TokenType.SIMILAR_TO,
+ 598        "SOME": TokenType.SOME,
+ 599        "TABLE": TokenType.TABLE,
+ 600        "TABLESAMPLE": TokenType.TABLE_SAMPLE,
+ 601        "TEMP": TokenType.TEMPORARY,
+ 602        "TEMPORARY": TokenType.TEMPORARY,
+ 603        "THEN": TokenType.THEN,
+ 604        "TRUE": TokenType.TRUE,
+ 605        "UNION": TokenType.UNION,
+ 606        "UNNEST": TokenType.UNNEST,
+ 607        "UNPIVOT": TokenType.UNPIVOT,
+ 608        "UPDATE": TokenType.UPDATE,
+ 609        "USE": TokenType.USE,
+ 610        "USING": TokenType.USING,
+ 611        "UUID": TokenType.UUID,
+ 612        "VALUES": TokenType.VALUES,
+ 613        "VIEW": TokenType.VIEW,
+ 614        "VOLATILE": TokenType.VOLATILE,
+ 615        "WHEN": TokenType.WHEN,
+ 616        "WHERE": TokenType.WHERE,
+ 617        "WINDOW": TokenType.WINDOW,
+ 618        "WITH": TokenType.WITH,
+ 619        "APPLY": TokenType.APPLY,
+ 620        "ARRAY": TokenType.ARRAY,
+ 621        "BIT": TokenType.BIT,
+ 622        "BOOL": TokenType.BOOLEAN,
+ 623        "BOOLEAN": TokenType.BOOLEAN,
+ 624        "BYTE": TokenType.TINYINT,
+ 625        "TINYINT": TokenType.TINYINT,
+ 626        "SHORT": TokenType.SMALLINT,
+ 627        "SMALLINT": TokenType.SMALLINT,
+ 628        "INT2": TokenType.SMALLINT,
+ 629        "INTEGER": TokenType.INT,
+ 630        "INT": TokenType.INT,
+ 631        "INT4": TokenType.INT,
+ 632        "LONG": TokenType.BIGINT,
+ 633        "BIGINT": TokenType.BIGINT,
+ 634        "INT8": TokenType.BIGINT,
+ 635        "DEC": TokenType.DECIMAL,
+ 636        "DECIMAL": TokenType.DECIMAL,
+ 637        "BIGDECIMAL": TokenType.BIGDECIMAL,
+ 638        "BIGNUMERIC": TokenType.BIGDECIMAL,
+ 639        "MAP": TokenType.MAP,
+ 640        "NULLABLE": TokenType.NULLABLE,
+ 641        "NUMBER": TokenType.DECIMAL,
+ 642        "NUMERIC": TokenType.DECIMAL,
+ 643        "FIXED": TokenType.DECIMAL,
+ 644        "REAL": TokenType.FLOAT,
+ 645        "FLOAT": TokenType.FLOAT,
+ 646        "FLOAT4": TokenType.FLOAT,
+ 647        "FLOAT8": TokenType.DOUBLE,
+ 648        "DOUBLE": TokenType.DOUBLE,
+ 649        "DOUBLE PRECISION": TokenType.DOUBLE,
+ 650        "JSON": TokenType.JSON,
+ 651        "CHAR": TokenType.CHAR,
+ 652        "CHARACTER": TokenType.CHAR,
+ 653        "NCHAR": TokenType.NCHAR,
+ 654        "VARCHAR": TokenType.VARCHAR,
+ 655        "VARCHAR2": TokenType.VARCHAR,
+ 656        "NVARCHAR": TokenType.NVARCHAR,
+ 657        "NVARCHAR2": TokenType.NVARCHAR,
+ 658        "STR": TokenType.TEXT,
+ 659        "STRING": TokenType.TEXT,
+ 660        "TEXT": TokenType.TEXT,
+ 661        "CLOB": TokenType.TEXT,
+ 662        "LONGVARCHAR": TokenType.TEXT,
+ 663        "BINARY": TokenType.BINARY,
+ 664        "BLOB": TokenType.VARBINARY,
+ 665        "BYTEA": TokenType.VARBINARY,
+ 666        "VARBINARY": TokenType.VARBINARY,
+ 667        "TIME": TokenType.TIME,
+ 668        "TIMESTAMP": TokenType.TIMESTAMP,
+ 669        "TIMESTAMPTZ": TokenType.TIMESTAMPTZ,
+ 670        "TIMESTAMPLTZ": TokenType.TIMESTAMPLTZ,
+ 671        "DATE": TokenType.DATE,
+ 672        "DATETIME": TokenType.DATETIME,
+ 673        "UNIQUE": TokenType.UNIQUE,
+ 674        "STRUCT": TokenType.STRUCT,
+ 675        "VARIANT": TokenType.VARIANT,
+ 676        "ALTER": TokenType.ALTER,
+ 677        "ANALYZE": TokenType.COMMAND,
+ 678        "CALL": TokenType.COMMAND,
+ 679        "COMMENT": TokenType.COMMENT,
+ 680        "COPY": TokenType.COMMAND,
+ 681        "EXPLAIN": TokenType.COMMAND,
+ 682        "GRANT": TokenType.COMMAND,
+ 683        "OPTIMIZE": TokenType.COMMAND,
+ 684        "PREPARE": TokenType.COMMAND,
+ 685        "TRUNCATE": TokenType.COMMAND,
+ 686        "VACUUM": TokenType.COMMAND,
+ 687    }
+ 688
+ 689    WHITE_SPACE: t.Dict[t.Optional[str], TokenType] = {
+ 690        " ": TokenType.SPACE,
+ 691        "\t": TokenType.SPACE,
+ 692        "\n": TokenType.BREAK,
+ 693        "\r": TokenType.BREAK,
+ 694        "\r\n": TokenType.BREAK,
+ 695    }
+ 696
+ 697    COMMANDS = {
+ 698        TokenType.COMMAND,
+ 699        TokenType.EXECUTE,
+ 700        TokenType.FETCH,
+ 701        TokenType.SHOW,
+ 702    }
+ 703
+ 704    COMMAND_PREFIX_TOKENS = {TokenType.SEMICOLON, TokenType.BEGIN}
+ 705
+ 706    # handle numeric literals like in hive (3L = BIGINT)
+ 707    NUMERIC_LITERALS: t.Dict[str, str] = {}
+ 708    ENCODE: t.Optional[str] = None
+ 709
+ 710    COMMENTS = ["--", ("/*", "*/"), ("{#", "#}")]
+ 711    KEYWORD_TRIE: t.Dict = {}  # autofilled
+ 712
+ 713    IDENTIFIER_CAN_START_WITH_DIGIT = False
+ 714
+ 715    __slots__ = (
+ 716        "sql",
+ 717        "size",
+ 718        "tokens",
+ 719        "_start",
+ 720        "_current",
+ 721        "_line",
+ 722        "_col",
+ 723        "_comments",
+ 724        "_char",
+ 725        "_end",
+ 726        "_peek",
+ 727        "_prev_token_line",
+ 728    )
+ 729
+ 730    def __init__(self) -> None:
+ 731        self.reset()
  732
- 733        self._char = ""
- 734        self._end = False
- 735        self._peek = ""
- 736        self._prev_token_line = -1
- 737
- 738    def tokenize(self, sql: str) -> t.List[Token]:
- 739        """Returns a list of tokens corresponding to the SQL string `sql`."""
- 740        self.reset()
- 741        self.sql = sql
- 742        self.size = len(sql)
- 743
- 744        try:
- 745            self._scan()
- 746        except Exception as e:
- 747            start = max(self._current - 50, 0)
- 748            end = min(self._current + 50, self.size - 1)
- 749            context = self.sql[start:end]
- 750            raise ValueError(f"Error tokenizing '{context}'") from e
- 751
- 752        return self.tokens
+ 733    def reset(self) -> None:
+ 734        self.sql = ""
+ 735        self.size = 0
+ 736        self.tokens: t.List[Token] = []
+ 737        self._start = 0
+ 738        self._current = 0
+ 739        self._line = 1
+ 740        self._col = 0
+ 741        self._comments: t.List[str] = []
+ 742
+ 743        self._char = ""
+ 744        self._end = False
+ 745        self._peek = ""
+ 746        self._prev_token_line = -1
+ 747
+ 748    def tokenize(self, sql: str) -> t.List[Token]:
+ 749        """Returns a list of tokens corresponding to the SQL string `sql`."""
+ 750        self.reset()
+ 751        self.sql = sql
+ 752        self.size = len(sql)
  753
- 754    def _scan(self, until: t.Optional[t.Callable] = None) -> None:
- 755        while self.size and not self._end:
- 756            self._start = self._current
- 757            self._advance()
- 758
- 759            if self._char is None:
- 760                break
+ 754        try:
+ 755            self._scan()
+ 756        except Exception as e:
+ 757            start = max(self._current - 50, 0)
+ 758            end = min(self._current + 50, self.size - 1)
+ 759            context = self.sql[start:end]
+ 760            raise ValueError(f"Error tokenizing '{context}'") from e
  761
- 762            if self._char not in self.WHITE_SPACE:
- 763                if self._char.isdigit():
- 764                    self._scan_number()
- 765                elif self._char in self._IDENTIFIERS:
- 766                    self._scan_identifier(self._IDENTIFIERS[self._char])
- 767                else:
- 768                    self._scan_keywords()
- 769
- 770            if until and until():
- 771                break
- 772
- 773        if self.tokens and self._comments:
- 774            self.tokens[-1].comments.extend(self._comments)
- 775
- 776    def _chars(self, size: int) -> str:
- 777        if size == 1:
- 778            return self._char
+ 762        return self.tokens
+ 763
+ 764    def _scan(self, until: t.Optional[t.Callable] = None) -> None:
+ 765        while self.size and not self._end:
+ 766            self._start = self._current
+ 767            self._advance()
+ 768
+ 769            if self._char is None:
+ 770                break
+ 771
+ 772            if self._char not in self.WHITE_SPACE:
+ 773                if self._char.isdigit():
+ 774                    self._scan_number()
+ 775                elif self._char in self._IDENTIFIERS:
+ 776                    self._scan_identifier(self._IDENTIFIERS[self._char])
+ 777                else:
+ 778                    self._scan_keywords()
  779
- 780        start = self._current - 1
- 781        end = start + size
+ 780            if until and until():
+ 781                break
  782
- 783        return self.sql[start:end] if end <= self.size else ""
- 784
- 785    def _advance(self, i: int = 1, alnum: bool = False) -> None:
- 786        if self.WHITE_SPACE.get(self._char) is TokenType.BREAK:
- 787            self._col = 1
- 788            self._line += 1
- 789        else:
- 790            self._col += i
- 791
- 792        self._current += i
- 793        self._end = self._current >= self.size
- 794        self._char = self.sql[self._current - 1]
- 795        self._peek = "" if self._end else self.sql[self._current]
- 796
- 797        if alnum and self._char.isalnum():
- 798            # Here we use local variables instead of attributes for better performance
- 799            _col = self._col
- 800            _current = self._current
- 801            _end = self._end
- 802            _peek = self._peek
- 803
- 804            while _peek.isalnum():
- 805                _col += 1
- 806                _current += 1
- 807                _end = _current >= self.size
- 808                _peek = "" if _end else self.sql[_current]
- 809
- 810            self._col = _col
- 811            self._current = _current
- 812            self._end = _end
- 813            self._peek = _peek
- 814            self._char = self.sql[_current - 1]
- 815
- 816    @property
- 817    def _text(self) -> str:
- 818        return self.sql[self._start : self._current]
+ 783        if self.tokens and self._comments:
+ 784            self.tokens[-1].comments.extend(self._comments)
+ 785
+ 786    def _chars(self, size: int) -> str:
+ 787        if size == 1:
+ 788            return self._char
+ 789
+ 790        start = self._current - 1
+ 791        end = start + size
+ 792
+ 793        return self.sql[start:end] if end <= self.size else ""
+ 794
+ 795    def _advance(self, i: int = 1, alnum: bool = False) -> None:
+ 796        if self.WHITE_SPACE.get(self._char) is TokenType.BREAK:
+ 797            self._col = 1
+ 798            self._line += 1
+ 799        else:
+ 800            self._col += i
+ 801
+ 802        self._current += i
+ 803        self._end = self._current >= self.size
+ 804        self._char = self.sql[self._current - 1]
+ 805        self._peek = "" if self._end else self.sql[self._current]
+ 806
+ 807        if alnum and self._char.isalnum():
+ 808            # Here we use local variables instead of attributes for better performance
+ 809            _col = self._col
+ 810            _current = self._current
+ 811            _end = self._end
+ 812            _peek = self._peek
+ 813
+ 814            while _peek.isalnum():
+ 815                _col += 1
+ 816                _current += 1
+ 817                _end = _current >= self.size
+ 818                _peek = "" if _end else self.sql[_current]
  819
- 820    def _add(self, token_type: TokenType, text: t.Optional[str] = None) -> None:
- 821        self._prev_token_line = self._line
- 822        self.tokens.append(
- 823            Token(
- 824                token_type,
- 825                text=self._text if text is None else text,
- 826                line=self._line,
- 827                col=self._col,
- 828                start=self._start,
- 829                end=self._current - 1,
- 830                comments=self._comments,
- 831            )
- 832        )
- 833        self._comments = []
- 834
- 835        # If we have either a semicolon or a begin token before the command's token, we'll parse
- 836        # whatever follows the command's token as a string
- 837        if (
- 838            token_type in self.COMMANDS
- 839            and self._peek != ";"
- 840            and (len(self.tokens) == 1 or self.tokens[-2].token_type in self.COMMAND_PREFIX_TOKENS)
- 841        ):
- 842            start = self._current
- 843            tokens = len(self.tokens)
- 844            self._scan(lambda: self._peek == ";")
- 845            self.tokens = self.tokens[:tokens]
- 846            text = self.sql[start : self._current].strip()
- 847            if text:
- 848                self._add(TokenType.STRING, text)
- 849
- 850    def _scan_keywords(self) -> None:
- 851        size = 0
- 852        word = None
- 853        chars = self._text
- 854        char = chars
- 855        prev_space = False
- 856        skip = False
- 857        trie = self.KEYWORD_TRIE
- 858        single_token = char in self.SINGLE_TOKENS
+ 820            self._col = _col
+ 821            self._current = _current
+ 822            self._end = _end
+ 823            self._peek = _peek
+ 824            self._char = self.sql[_current - 1]
+ 825
+ 826    @property
+ 827    def _text(self) -> str:
+ 828        return self.sql[self._start : self._current]
+ 829
+ 830    def _add(self, token_type: TokenType, text: t.Optional[str] = None) -> None:
+ 831        self._prev_token_line = self._line
+ 832        self.tokens.append(
+ 833            Token(
+ 834                token_type,
+ 835                text=self._text if text is None else text,
+ 836                line=self._line,
+ 837                col=self._col,
+ 838                start=self._start,
+ 839                end=self._current - 1,
+ 840                comments=self._comments,
+ 841            )
+ 842        )
+ 843        self._comments = []
+ 844
+ 845        # If we have either a semicolon or a begin token before the command's token, we'll parse
+ 846        # whatever follows the command's token as a string
+ 847        if (
+ 848            token_type in self.COMMANDS
+ 849            and self._peek != ";"
+ 850            and (len(self.tokens) == 1 or self.tokens[-2].token_type in self.COMMAND_PREFIX_TOKENS)
+ 851        ):
+ 852            start = self._current
+ 853            tokens = len(self.tokens)
+ 854            self._scan(lambda: self._peek == ";")
+ 855            self.tokens = self.tokens[:tokens]
+ 856            text = self.sql[start : self._current].strip()
+ 857            if text:
+ 858                self._add(TokenType.STRING, text)
  859
- 860        while chars:
- 861            if skip:
- 862                result = 1
- 863            else:
- 864                result, trie = in_trie(trie, char.upper())
- 865
- 866            if result == 0:
- 867                break
- 868            if result == 2:
- 869                word = chars
- 870
- 871            size += 1
- 872            end = self._current - 1 + size
- 873
- 874            if end < self.size:
- 875                char = self.sql[end]
- 876                single_token = single_token or char in self.SINGLE_TOKENS
- 877                is_space = char in self.WHITE_SPACE
- 878
- 879                if not is_space or not prev_space:
- 880                    if is_space:
- 881                        char = " "
- 882                    chars += char
- 883                    prev_space = is_space
- 884                    skip = False
- 885                else:
- 886                    skip = True
- 887            else:
- 888                char = ""
- 889                chars = " "
- 890
- 891        word = None if not single_token and chars[-1] not in self.WHITE_SPACE else word
- 892
- 893        if not word:
- 894            if self._char in self.SINGLE_TOKENS:
- 895                self._add(self.SINGLE_TOKENS[self._char], text=self._char)
- 896                return
- 897            self._scan_var()
- 898            return
- 899
- 900        if self._scan_string(word):
- 901            return
- 902        if self._scan_formatted_string(word):
- 903            return
- 904        if self._scan_comment(word):
- 905            return
- 906
- 907        self._advance(size - 1)
- 908        word = word.upper()
- 909        self._add(self.KEYWORDS[word], text=word)
- 910
- 911    def _scan_comment(self, comment_start: str) -> bool:
- 912        if comment_start not in self._COMMENTS:
- 913            return False
+ 860    def _scan_keywords(self) -> None:
+ 861        size = 0
+ 862        word = None
+ 863        chars = self._text
+ 864        char = chars
+ 865        prev_space = False
+ 866        skip = False
+ 867        trie = self.KEYWORD_TRIE
+ 868        single_token = char in self.SINGLE_TOKENS
+ 869
+ 870        while chars:
+ 871            if skip:
+ 872                result = 1
+ 873            else:
+ 874                result, trie = in_trie(trie, char.upper())
+ 875
+ 876            if result == 0:
+ 877                break
+ 878            if result == 2:
+ 879                word = chars
+ 880
+ 881            size += 1
+ 882            end = self._current - 1 + size
+ 883
+ 884            if end < self.size:
+ 885                char = self.sql[end]
+ 886                single_token = single_token or char in self.SINGLE_TOKENS
+ 887                is_space = char in self.WHITE_SPACE
+ 888
+ 889                if not is_space or not prev_space:
+ 890                    if is_space:
+ 891                        char = " "
+ 892                    chars += char
+ 893                    prev_space = is_space
+ 894                    skip = False
+ 895                else:
+ 896                    skip = True
+ 897            else:
+ 898                char = ""
+ 899                chars = " "
+ 900
+ 901        word = None if not single_token and chars[-1] not in self.WHITE_SPACE else word
+ 902
+ 903        if not word:
+ 904            if self._char in self.SINGLE_TOKENS:
+ 905                self._add(self.SINGLE_TOKENS[self._char], text=self._char)
+ 906                return
+ 907            self._scan_var()
+ 908            return
+ 909
+ 910        if self._scan_string(word):
+ 911            return
+ 912        if self._scan_comment(word):
+ 913            return
  914
- 915        comment_start_line = self._line
- 916        comment_start_size = len(comment_start)
- 917        comment_end = self._COMMENTS[comment_start]
+ 915        self._advance(size - 1)
+ 916        word = word.upper()
+ 917        self._add(self.KEYWORDS[word], text=word)
  918
- 919        if comment_end:
- 920            # Skip the comment's start delimiter
- 921            self._advance(comment_start_size)
+ 919    def _scan_comment(self, comment_start: str) -> bool:
+ 920        if comment_start not in self._COMMENTS:
+ 921            return False
  922
- 923            comment_end_size = len(comment_end)
- 924            while not self._end and self._chars(comment_end_size) != comment_end:
- 925                self._advance(alnum=True)
+ 923        comment_start_line = self._line
+ 924        comment_start_size = len(comment_start)
+ 925        comment_end = self._COMMENTS[comment_start]
  926
- 927            self._comments.append(self._text[comment_start_size : -comment_end_size + 1])
- 928            self._advance(comment_end_size - 1)
- 929        else:
- 930            while not self._end and not self.WHITE_SPACE.get(self._peek) is TokenType.BREAK:
- 931                self._advance(alnum=True)
- 932            self._comments.append(self._text[comment_start_size:])
- 933
- 934        # Leading comment is attached to the succeeding token, whilst trailing comment to the preceding.
- 935        # Multiple consecutive comments are preserved by appending them to the current comments list.
- 936        if comment_start_line == self._prev_token_line:
- 937            self.tokens[-1].comments.extend(self._comments)
- 938            self._comments = []
- 939            self._prev_token_line = self._line
- 940
- 941        return True
- 942
- 943    def _scan_number(self) -> None:
- 944        if self._char == "0":
- 945            peek = self._peek.upper()
- 946            if peek == "B":
- 947                return self._scan_bits() if self._BIT_STRINGS else self._add(TokenType.NUMBER)
- 948            elif peek == "X":
- 949                return self._scan_hex() if self._HEX_STRINGS else self._add(TokenType.NUMBER)
+ 927        if comment_end:
+ 928            # Skip the comment's start delimiter
+ 929            self._advance(comment_start_size)
+ 930
+ 931            comment_end_size = len(comment_end)
+ 932            while not self._end and self._chars(comment_end_size) != comment_end:
+ 933                self._advance(alnum=True)
+ 934
+ 935            self._comments.append(self._text[comment_start_size : -comment_end_size + 1])
+ 936            self._advance(comment_end_size - 1)
+ 937        else:
+ 938            while not self._end and not self.WHITE_SPACE.get(self._peek) is TokenType.BREAK:
+ 939                self._advance(alnum=True)
+ 940            self._comments.append(self._text[comment_start_size:])
+ 941
+ 942        # Leading comment is attached to the succeeding token, whilst trailing comment to the preceding.
+ 943        # Multiple consecutive comments are preserved by appending them to the current comments list.
+ 944        if comment_start_line == self._prev_token_line:
+ 945            self.tokens[-1].comments.extend(self._comments)
+ 946            self._comments = []
+ 947            self._prev_token_line = self._line
+ 948
+ 949        return True
  950
- 951        decimal = False
- 952        scientific = 0
- 953
- 954        while True:
- 955            if self._peek.isdigit():
- 956                self._advance()
- 957            elif self._peek == "." and not decimal:
- 958                decimal = True
- 959                self._advance()
- 960            elif self._peek in ("-", "+") and scientific == 1:
- 961                scientific += 1
- 962                self._advance()
- 963            elif self._peek.upper() == "E" and not scientific:
- 964                scientific += 1
- 965                self._advance()
- 966            elif self._peek.isidentifier():
- 967                number_text = self._text
- 968                literal = ""
- 969
- 970                while self._peek.strip() and self._peek not in self.SINGLE_TOKENS:
- 971                    literal += self._peek.upper()
- 972                    self._advance()
- 973
- 974                token_type = self.KEYWORDS.get(self.NUMERIC_LITERALS.get(literal))
- 975
- 976                if token_type:
- 977                    self._add(TokenType.NUMBER, number_text)
- 978                    self._add(TokenType.DCOLON, "::")
- 979                    return self._add(token_type, literal)
- 980                elif self.IDENTIFIER_CAN_START_WITH_DIGIT:
- 981                    return self._add(TokenType.VAR)
- 982
- 983                self._add(TokenType.NUMBER, number_text)
- 984                return self._advance(-len(literal))
- 985            else:
- 986                return self._add(TokenType.NUMBER)
- 987
- 988    def _scan_bits(self) -> None:
- 989        self._advance()
- 990        value = self._extract_value()
- 991        try:
- 992            # If `value` can't be converted to a binary, fallback to tokenizing it as an identifier
- 993            int(value, 2)
- 994            self._add(TokenType.BIT_STRING, value[2:])  # Drop the 0b
- 995        except ValueError:
- 996            self._add(TokenType.IDENTIFIER)
- 997
- 998    def _scan_hex(self) -> None:
- 999        self._advance()
-1000        value = self._extract_value()
-1001        try:
-1002            # If `value` can't be converted to a hex, fallback to tokenizing it as an identifier
-1003            int(value, 16)
-1004            self._add(TokenType.HEX_STRING, value[2:])  # Drop the 0x
-1005        except ValueError:
-1006            self._add(TokenType.IDENTIFIER)
-1007
-1008    def _extract_value(self) -> str:
-1009        while True:
-1010            char = self._peek.strip()
-1011            if char and char not in self.SINGLE_TOKENS:
-1012                self._advance(alnum=True)
-1013            else:
-1014                break
+ 951    def _scan_number(self) -> None:
+ 952        if self._char == "0":
+ 953            peek = self._peek.upper()
+ 954            if peek == "B":
+ 955                return self._scan_bits() if self.BIT_STRINGS else self._add(TokenType.NUMBER)
+ 956            elif peek == "X":
+ 957                return self._scan_hex() if self.HEX_STRINGS else self._add(TokenType.NUMBER)
+ 958
+ 959        decimal = False
+ 960        scientific = 0
+ 961
+ 962        while True:
+ 963            if self._peek.isdigit():
+ 964                self._advance()
+ 965            elif self._peek == "." and not decimal:
+ 966                decimal = True
+ 967                self._advance()
+ 968            elif self._peek in ("-", "+") and scientific == 1:
+ 969                scientific += 1
+ 970                self._advance()
+ 971            elif self._peek.upper() == "E" and not scientific:
+ 972                scientific += 1
+ 973                self._advance()
+ 974            elif self._peek.isidentifier():
+ 975                number_text = self._text
+ 976                literal = ""
+ 977
+ 978                while self._peek.strip() and self._peek not in self.SINGLE_TOKENS:
+ 979                    literal += self._peek.upper()
+ 980                    self._advance()
+ 981
+ 982                token_type = self.KEYWORDS.get(self.NUMERIC_LITERALS.get(literal))
+ 983
+ 984                if token_type:
+ 985                    self._add(TokenType.NUMBER, number_text)
+ 986                    self._add(TokenType.DCOLON, "::")
+ 987                    return self._add(token_type, literal)
+ 988                elif self.IDENTIFIER_CAN_START_WITH_DIGIT:
+ 989                    return self._add(TokenType.VAR)
+ 990
+ 991                self._add(TokenType.NUMBER, number_text)
+ 992                return self._advance(-len(literal))
+ 993            else:
+ 994                return self._add(TokenType.NUMBER)
+ 995
+ 996    def _scan_bits(self) -> None:
+ 997        self._advance()
+ 998        value = self._extract_value()
+ 999        try:
+1000            # If `value` can't be converted to a binary, fallback to tokenizing it as an identifier
+1001            int(value, 2)
+1002            self._add(TokenType.BIT_STRING, value[2:])  # Drop the 0b
+1003        except ValueError:
+1004            self._add(TokenType.IDENTIFIER)
+1005
+1006    def _scan_hex(self) -> None:
+1007        self._advance()
+1008        value = self._extract_value()
+1009        try:
+1010            # If `value` can't be converted to a hex, fallback to tokenizing it as an identifier
+1011            int(value, 16)
+1012            self._add(TokenType.HEX_STRING, value[2:])  # Drop the 0x
+1013        except ValueError:
+1014            self._add(TokenType.IDENTIFIER)
 1015
-1016        return self._text
-1017
-1018    def _scan_string(self, quote: str) -> bool:
-1019        quote_end = self._QUOTES.get(quote)
-1020        if quote_end is None:
-1021            return False
-1022
-1023        self._advance(len(quote))
-1024        text = self._extract_string(quote_end)
-1025        text = text.encode(self.ENCODE).decode(self.ENCODE) if self.ENCODE else text
-1026        self._add(TokenType.NATIONAL if quote[0].upper() == "N" else TokenType.STRING, text)
-1027        return True
-1028
-1029    # X'1234', b'0110', E'\\\\\' etc.
-1030    def _scan_formatted_string(self, string_start: str) -> bool:
-1031        if string_start in self._HEX_STRINGS:
-1032            delimiters = self._HEX_STRINGS
-1033            token_type = TokenType.HEX_STRING
-1034            base = 16
-1035        elif string_start in self._BIT_STRINGS:
-1036            delimiters = self._BIT_STRINGS
-1037            token_type = TokenType.BIT_STRING
-1038            base = 2
-1039        elif string_start in self._BYTE_STRINGS:
-1040            delimiters = self._BYTE_STRINGS
-1041            token_type = TokenType.BYTE_STRING
-1042            base = None
-1043        else:
-1044            return False
-1045
-1046        self._advance(len(string_start))
-1047        string_end = delimiters[string_start]
-1048        text = self._extract_string(string_end)
-1049
-1050        if base:
-1051            try:
-1052                int(text, base)
-1053            except:
-1054                raise RuntimeError(
-1055                    f"Numeric string contains invalid characters from {self._line}:{self._start}"
-1056                )
+1016    def _extract_value(self) -> str:
+1017        while True:
+1018            char = self._peek.strip()
+1019            if char and char not in self.SINGLE_TOKENS:
+1020                self._advance(alnum=True)
+1021            else:
+1022                break
+1023
+1024        return self._text
+1025
+1026    def _scan_string(self, start: str) -> bool:
+1027        base = None
+1028        token_type = TokenType.STRING
+1029
+1030        if start in self._QUOTES:
+1031            end = self._QUOTES[start]
+1032        elif start in self._FORMAT_STRINGS:
+1033            end, token_type = self._FORMAT_STRINGS[start]
+1034
+1035            if token_type == TokenType.HEX_STRING:
+1036                base = 16
+1037            elif token_type == TokenType.BIT_STRING:
+1038                base = 2
+1039        else:
+1040            return False
+1041
+1042        self._advance(len(start))
+1043        text = self._extract_string(end)
+1044
+1045        if base:
+1046            try:
+1047                int(text, base)
+1048            except:
+1049                raise RuntimeError(
+1050                    f"Numeric string contains invalid characters from {self._line}:{self._start}"
+1051                )
+1052        else:
+1053            text = text.encode(self.ENCODE).decode(self.ENCODE) if self.ENCODE else text
+1054
+1055        self._add(token_type, text)
+1056        return True
 1057
-1058        self._add(token_type, text)
-1059        return True
-1060
-1061    def _scan_identifier(self, identifier_end: str) -> None:
-1062        self._advance()
-1063        text = self._extract_string(identifier_end, self._IDENTIFIER_ESCAPES)
-1064        self._add(TokenType.IDENTIFIER, text)
-1065
-1066    def _scan_var(self) -> None:
-1067        while True:
-1068            char = self._peek.strip()
-1069            if char and (char in self.VAR_SINGLE_TOKENS or char not in self.SINGLE_TOKENS):
-1070                self._advance(alnum=True)
-1071            else:
-1072                break
-1073
-1074        self._add(
-1075            TokenType.VAR
-1076            if self.tokens and self.tokens[-1].token_type == TokenType.PARAMETER
-1077            else self.KEYWORDS.get(self._text.upper(), TokenType.VAR)
-1078        )
-1079
-1080    def _extract_string(self, delimiter: str, escapes=None) -> str:
-1081        text = ""
-1082        delim_size = len(delimiter)
-1083        escapes = self._STRING_ESCAPES if escapes is None else escapes
-1084
-1085        while True:
-1086            if self._char in escapes and (self._peek == delimiter or self._peek in escapes):
-1087                if self._peek == delimiter:
-1088                    text += self._peek
-1089                else:
-1090                    text += self._char + self._peek
-1091
-1092                if self._current + 1 < self.size:
-1093                    self._advance(2)
-1094                else:
-1095                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._current}")
-1096            else:
-1097                if self._chars(delim_size) == delimiter:
-1098                    if delim_size > 1:
-1099                        self._advance(delim_size - 1)
-1100                    break
+1058    def _scan_identifier(self, identifier_end: str) -> None:
+1059        self._advance()
+1060        text = self._extract_string(identifier_end, self._IDENTIFIER_ESCAPES)
+1061        self._add(TokenType.IDENTIFIER, text)
+1062
+1063    def _scan_var(self) -> None:
+1064        while True:
+1065            char = self._peek.strip()
+1066            if char and (char in self.VAR_SINGLE_TOKENS or char not in self.SINGLE_TOKENS):
+1067                self._advance(alnum=True)
+1068            else:
+1069                break
+1070
+1071        self._add(
+1072            TokenType.VAR
+1073            if self.tokens and self.tokens[-1].token_type == TokenType.PARAMETER
+1074            else self.KEYWORDS.get(self._text.upper(), TokenType.VAR)
+1075        )
+1076
+1077    def _extract_string(self, delimiter: str, escapes=None) -> str:
+1078        text = ""
+1079        delim_size = len(delimiter)
+1080        escapes = self._STRING_ESCAPES if escapes is None else escapes
+1081
+1082        while True:
+1083            if self._char in escapes and (self._peek == delimiter or self._peek in escapes):
+1084                if self._peek == delimiter:
+1085                    text += self._peek
+1086                else:
+1087                    text += self._char + self._peek
+1088
+1089                if self._current + 1 < self.size:
+1090                    self._advance(2)
+1091                else:
+1092                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._current}")
+1093            else:
+1094                if self._chars(delim_size) == delimiter:
+1095                    if delim_size > 1:
+1096                        self._advance(delim_size - 1)
+1097                    break
+1098
+1099                if self._end:
+1100                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._start}")
 1101
-1102                if self._end:
-1103                    raise RuntimeError(f"Missing {delimiter} from {self._line}:{self._start}")
-1104
-1105                current = self._current - 1
-1106                self._advance(alnum=True)
-1107                text += self.sql[current : self._current - 1]
-1108
-1109        return text
+1102                current = self._current - 1
+1103                self._advance(alnum=True)
+1104                text += self.sql[current : self._current - 1]
+1105
+1106        return text
 
    
 
 
@@ -6579,20 +6578,20 @@ 
    Arguments:
    
 
     
    
     
-            
    723    def reset(self) -> None:
-724        self.sql = ""
-725        self.size = 0
-726        self.tokens: t.List[Token] = []
-727        self._start = 0
-728        self._current = 0
-729        self._line = 1
-730        self._col = 0
-731        self._comments: t.List[str] = []
-732
-733        self._char = ""
-734        self._end = False
-735        self._peek = ""
-736        self._prev_token_line = -1
+            
    733    def reset(self) -> None:
+734        self.sql = ""
+735        self.size = 0
+736        self.tokens: t.List[Token] = []
+737        self._start = 0
+738        self._current = 0
+739        self._line = 1
+740        self._col = 0
+741        self._comments: t.List[str] = []
+742
+743        self._char = ""
+744        self._end = False
+745        self._peek = ""
+746        self._prev_token_line = -1
 
    
 
 
@@ -6610,21 +6609,21 @@ 
    Arguments:
    
 
     
    
     
-            
    738    def tokenize(self, sql: str) -> t.List[Token]:
-739        """Returns a list of tokens corresponding to the SQL string `sql`."""
-740        self.reset()
-741        self.sql = sql
-742        self.size = len(sql)
-743
-744        try:
-745            self._scan()
-746        except Exception as e:
-747            start = max(self._current - 50, 0)
-748            end = min(self._current + 50, self.size - 1)
-749            context = self.sql[start:end]
-750            raise ValueError(f"Error tokenizing '{context}'") from e
-751
-752        return self.tokens
+            
    748    def tokenize(self, sql: str) -> t.List[Token]:
+749        """Returns a list of tokens corresponding to the SQL string `sql`."""
+750        self.reset()
+751        self.sql = sql
+752        self.size = len(sql)
+753
+754        try:
+755            self._scan()
+756        except Exception as e:
+757            start = max(self._current - 50, 0)
+758            end = min(self._current + 50, self.size - 1)
+759            context = self.sql[start:end]
+760            raise ValueError(f"Error tokenizing '{context}'") from e
+761
+762        return self.tokens
 
    
 
 
diff --git a/docs/sqlglot/transforms.html b/docs/sqlglot/transforms.html
index bd6b98952c..95f7933a0e 100644
--- a/docs/sqlglot/transforms.html
+++ b/docs/sqlglot/transforms.html
@@ -246,153 +246,156 @@ 
    
 161        from sqlglot.optimizer.scope import build_scope
 162
 163        taken_select_names = set(expression.named_selects)
-164        taken_source_names = set(build_scope(expression).selected_sources)
-165
-166        for select in expression.selects:
-167            to_replace = select
+164        scope = build_scope(expression)
+165        if not scope:
+166            return expression
+167        taken_source_names = set(scope.selected_sources)
 168
-169            pos_alias = ""
-170            explode_alias = ""
+169        for select in expression.selects:
+170            to_replace = select
 171
-172            if isinstance(select, exp.Alias):
-173                explode_alias = select.alias
-174                select = select.this
-175            elif isinstance(select, exp.Aliases):
-176                pos_alias = select.aliases[0].name
-177                explode_alias = select.aliases[1].name
-178                select = select.this
-179
-180            if isinstance(select, (exp.Explode, exp.Posexplode)):
-181                is_posexplode = isinstance(select, exp.Posexplode)
+172            pos_alias = ""
+173            explode_alias = ""
+174
+175            if isinstance(select, exp.Alias):
+176                explode_alias = select.alias
+177                select = select.this
+178            elif isinstance(select, exp.Aliases):
+179                pos_alias = select.aliases[0].name
+180                explode_alias = select.aliases[1].name
+181                select = select.this
 182
-183                explode_arg = select.this
-184                unnest = exp.Unnest(expressions=[explode_arg.copy()], ordinality=is_posexplode)
+183            if isinstance(select, (exp.Explode, exp.Posexplode)):
+184                is_posexplode = isinstance(select, exp.Posexplode)
 185
-186                # This ensures that we won't use [POS]EXPLODE's argument as a new selection
-187                if isinstance(explode_arg, exp.Column):
-188                    taken_select_names.add(explode_arg.output_name)
-189
-190                unnest_source_alias = find_new_name(taken_source_names, "_u")
-191                taken_source_names.add(unnest_source_alias)
+186                explode_arg = select.this
+187                unnest = exp.Unnest(expressions=[explode_arg.copy()], ordinality=is_posexplode)
+188
+189                # This ensures that we won't use [POS]EXPLODE's argument as a new selection
+190                if isinstance(explode_arg, exp.Column):
+191                    taken_select_names.add(explode_arg.output_name)
 192
-193                if not explode_alias:
-194                    explode_alias = find_new_name(taken_select_names, "col")
-195                    taken_select_names.add(explode_alias)
-196
-197                    if is_posexplode:
-198                        pos_alias = find_new_name(taken_select_names, "pos")
-199                        taken_select_names.add(pos_alias)
-200
-201                if is_posexplode:
-202                    column_names = [explode_alias, pos_alias]
-203                    to_replace.pop()
-204                    expression.select(pos_alias, explode_alias, copy=False)
-205                else:
-206                    column_names = [explode_alias]
-207                    to_replace.replace(exp.column(explode_alias))
-208
-209                unnest = exp.alias_(unnest, unnest_source_alias, table=column_names)
-210
-211                if not expression.args.get("from"):
-212                    expression.from_(unnest, copy=False)
-213                else:
-214                    expression.join(unnest, join_type="CROSS", copy=False)
-215
-216    return expression
-217
+193                unnest_source_alias = find_new_name(taken_source_names, "_u")
+194                taken_source_names.add(unnest_source_alias)
+195
+196                if not explode_alias:
+197                    explode_alias = find_new_name(taken_select_names, "col")
+198                    taken_select_names.add(explode_alias)
+199
+200                    if is_posexplode:
+201                        pos_alias = find_new_name(taken_select_names, "pos")
+202                        taken_select_names.add(pos_alias)
+203
+204                if is_posexplode:
+205                    column_names = [explode_alias, pos_alias]
+206                    to_replace.pop()
+207                    expression.select(pos_alias, explode_alias, copy=False)
+208                else:
+209                    column_names = [explode_alias]
+210                    to_replace.replace(exp.column(explode_alias))
+211
+212                unnest = exp.alias_(unnest, unnest_source_alias, table=column_names)
+213
+214                if not expression.args.get("from"):
+215                    expression.from_(unnest, copy=False)
+216                else:
+217                    expression.join(unnest, join_type="CROSS", copy=False)
 218
-219def remove_target_from_merge(expression: exp.Expression) -> exp.Expression:
-220    """Remove table refs from columns in when statements."""
-221    if isinstance(expression, exp.Merge):
-222        alias = expression.this.args.get("alias")
-223        targets = {expression.this.this}
-224        if alias:
-225            targets.add(alias.this)
-226
-227        for when in expression.expressions:
-228            when.transform(
-229                lambda node: exp.column(node.name)
-230                if isinstance(node, exp.Column) and node.args.get("table") in targets
-231                else node,
-232                copy=False,
-233            )
-234
-235    return expression
-236
+219    return expression
+220
+221
+222def remove_target_from_merge(expression: exp.Expression) -> exp.Expression:
+223    """Remove table refs from columns in when statements."""
+224    if isinstance(expression, exp.Merge):
+225        alias = expression.this.args.get("alias")
+226        targets = {expression.this.this}
+227        if alias:
+228            targets.add(alias.this)
+229
+230        for when in expression.expressions:
+231            when.transform(
+232                lambda node: exp.column(node.name)
+233                if isinstance(node, exp.Column) and node.args.get("table") in targets
+234                else node,
+235                copy=False,
+236            )
 237
-238def remove_within_group_for_percentiles(expression: exp.Expression) -> exp.Expression:
-239    if (
-240        isinstance(expression, exp.WithinGroup)
-241        and isinstance(expression.this, (exp.PercentileCont, exp.PercentileDisc))
-242        and isinstance(expression.expression, exp.Order)
-243    ):
-244        quantile = expression.this.this
-245        input_value = t.cast(exp.Ordered, expression.find(exp.Ordered)).this
-246        return expression.replace(exp.ApproxQuantile(this=input_value, quantile=quantile))
-247
-248    return expression
-249
+238    return expression
+239
+240
+241def remove_within_group_for_percentiles(expression: exp.Expression) -> exp.Expression:
+242    if (
+243        isinstance(expression, exp.WithinGroup)
+244        and isinstance(expression.this, (exp.PercentileCont, exp.PercentileDisc))
+245        and isinstance(expression.expression, exp.Order)
+246    ):
+247        quantile = expression.this.this
+248        input_value = t.cast(exp.Ordered, expression.find(exp.Ordered)).this
+249        return expression.replace(exp.ApproxQuantile(this=input_value, quantile=quantile))
 250
-251def add_recursive_cte_column_names(expression: exp.Expression) -> exp.Expression:
-252    if isinstance(expression, exp.With) and expression.recursive:
-253        sequence = itertools.count()
-254        next_name = lambda: f"_c_{next(sequence)}"
-255
-256        for cte in expression.expressions:
-257            if not cte.args["alias"].columns:
-258                query = cte.this
-259                if isinstance(query, exp.Union):
-260                    query = query.this
-261
-262                cte.args["alias"].set(
-263                    "columns",
-264                    [exp.to_identifier(s.alias_or_name or next_name()) for s in query.selects],
-265                )
-266
-267    return expression
-268
+251    return expression
+252
+253
+254def add_recursive_cte_column_names(expression: exp.Expression) -> exp.Expression:
+255    if isinstance(expression, exp.With) and expression.recursive:
+256        sequence = itertools.count()
+257        next_name = lambda: f"_c_{next(sequence)}"
+258
+259        for cte in expression.expressions:
+260            if not cte.args["alias"].columns:
+261                query = cte.this
+262                if isinstance(query, exp.Union):
+263                    query = query.this
+264
+265                cte.args["alias"].set(
+266                    "columns",
+267                    [exp.to_identifier(s.alias_or_name or next_name()) for s in query.selects],
+268                )
 269
-270def preprocess(
-271    transforms: t.List[t.Callable[[exp.Expression], exp.Expression]],
-272) -> t.Callable[[Generator, exp.Expression], str]:
-273    """
-274    Creates a new transform by chaining a sequence of transformations and converts the resulting
-275    expression to SQL, using either the "_sql" method corresponding to the resulting expression,
-276    or the appropriate `Generator.TRANSFORMS` function (when applicable -- see below).
-277
-278    Args:
-279        transforms: sequence of transform functions. These will be called in order.
+270    return expression
+271
+272
+273def preprocess(
+274    transforms: t.List[t.Callable[[exp.Expression], exp.Expression]],
+275) -> t.Callable[[Generator, exp.Expression], str]:
+276    """
+277    Creates a new transform by chaining a sequence of transformations and converts the resulting
+278    expression to SQL, using either the "_sql" method corresponding to the resulting expression,
+279    or the appropriate `Generator.TRANSFORMS` function (when applicable -- see below).
 280
-281    Returns:
-282        Function that can be used as a generator transform.
-283    """
-284
-285    def _to_sql(self, expression: exp.Expression) -> str:
-286        expression_type = type(expression)
+281    Args:
+282        transforms: sequence of transform functions. These will be called in order.
+283
+284    Returns:
+285        Function that can be used as a generator transform.
+286    """
 287
-288        expression = transforms[0](expression.copy())
-289        for t in transforms[1:]:
-290            expression = t(expression)
-291
-292        _sql_handler = getattr(self, expression.key + "_sql", None)
-293        if _sql_handler:
-294            return _sql_handler(expression)
-295
-296        transforms_handler = self.TRANSFORMS.get(type(expression))
-297        if transforms_handler:
-298            # Ensures we don't enter an infinite loop. This can happen when the original expression
-299            # has the same type as the final expression and there's no _sql method available for it,
-300            # because then it'd re-enter _to_sql.
-301            if expression_type is type(expression):
-302                raise ValueError(
-303                    f"Expression type {expression.__class__.__name__} requires a _sql method in order to be transformed."
-304                )
-305
-306            return transforms_handler(self, expression)
-307
-308        raise ValueError(f"Unsupported expression type {expression.__class__.__name__}.")
-309
-310    return _to_sql
+288    def _to_sql(self, expression: exp.Expression) -> str:
+289        expression_type = type(expression)
+290
+291        expression = transforms[0](expression.copy())
+292        for t in transforms[1:]:
+293            expression = t(expression)
+294
+295        _sql_handler = getattr(self, expression.key + "_sql", None)
+296        if _sql_handler:
+297            return _sql_handler(expression)
+298
+299        transforms_handler = self.TRANSFORMS.get(type(expression))
+300        if transforms_handler:
+301            # Ensures we don't enter an infinite loop. This can happen when the original expression
+302            # has the same type as the final expression and there's no _sql method available for it,
+303            # because then it'd re-enter _to_sql.
+304            if expression_type is type(expression):
+305                raise ValueError(
+306                    f"Expression type {expression.__class__.__name__} requires a _sql method in order to be transformed."
+307                )
+308
+309            return transforms_handler(self, expression)
+310
+311        raise ValueError(f"Unsupported expression type {expression.__class__.__name__}.")
+312
+313    return _to_sql
 
    
 
 
@@ -690,59 +693,62 @@ 
    Returns:
    
 162        from sqlglot.optimizer.scope import build_scope
 163
 164        taken_select_names = set(expression.named_selects)
-165        taken_source_names = set(build_scope(expression).selected_sources)
-166
-167        for select in expression.selects:
-168            to_replace = select
+165        scope = build_scope(expression)
+166        if not scope:
+167            return expression
+168        taken_source_names = set(scope.selected_sources)
 169
-170            pos_alias = ""
-171            explode_alias = ""
+170        for select in expression.selects:
+171            to_replace = select
 172
-173            if isinstance(select, exp.Alias):
-174                explode_alias = select.alias
-175                select = select.this
-176            elif isinstance(select, exp.Aliases):
-177                pos_alias = select.aliases[0].name
-178                explode_alias = select.aliases[1].name
-179                select = select.this
-180
-181            if isinstance(select, (exp.Explode, exp.Posexplode)):
-182                is_posexplode = isinstance(select, exp.Posexplode)
+173            pos_alias = ""
+174            explode_alias = ""
+175
+176            if isinstance(select, exp.Alias):
+177                explode_alias = select.alias
+178                select = select.this
+179            elif isinstance(select, exp.Aliases):
+180                pos_alias = select.aliases[0].name
+181                explode_alias = select.aliases[1].name
+182                select = select.this
 183
-184                explode_arg = select.this
-185                unnest = exp.Unnest(expressions=[explode_arg.copy()], ordinality=is_posexplode)
+184            if isinstance(select, (exp.Explode, exp.Posexplode)):
+185                is_posexplode = isinstance(select, exp.Posexplode)
 186
-187                # This ensures that we won't use [POS]EXPLODE's argument as a new selection
-188                if isinstance(explode_arg, exp.Column):
-189                    taken_select_names.add(explode_arg.output_name)
-190
-191                unnest_source_alias = find_new_name(taken_source_names, "_u")
-192                taken_source_names.add(unnest_source_alias)
+187                explode_arg = select.this
+188                unnest = exp.Unnest(expressions=[explode_arg.copy()], ordinality=is_posexplode)
+189
+190                # This ensures that we won't use [POS]EXPLODE's argument as a new selection
+191                if isinstance(explode_arg, exp.Column):
+192                    taken_select_names.add(explode_arg.output_name)
 193
-194                if not explode_alias:
-195                    explode_alias = find_new_name(taken_select_names, "col")
-196                    taken_select_names.add(explode_alias)
-197
-198                    if is_posexplode:
-199                        pos_alias = find_new_name(taken_select_names, "pos")
-200                        taken_select_names.add(pos_alias)
-201
-202                if is_posexplode:
-203                    column_names = [explode_alias, pos_alias]
-204                    to_replace.pop()
-205                    expression.select(pos_alias, explode_alias, copy=False)
-206                else:
-207                    column_names = [explode_alias]
-208                    to_replace.replace(exp.column(explode_alias))
-209
-210                unnest = exp.alias_(unnest, unnest_source_alias, table=column_names)
-211
-212                if not expression.args.get("from"):
-213                    expression.from_(unnest, copy=False)
-214                else:
-215                    expression.join(unnest, join_type="CROSS", copy=False)
-216
-217    return expression
+194                unnest_source_alias = find_new_name(taken_source_names, "_u")
+195                taken_source_names.add(unnest_source_alias)
+196
+197                if not explode_alias:
+198                    explode_alias = find_new_name(taken_select_names, "col")
+199                    taken_select_names.add(explode_alias)
+200
+201                    if is_posexplode:
+202                        pos_alias = find_new_name(taken_select_names, "pos")
+203                        taken_select_names.add(pos_alias)
+204
+205                if is_posexplode:
+206                    column_names = [explode_alias, pos_alias]
+207                    to_replace.pop()
+208                    expression.select(pos_alias, explode_alias, copy=False)
+209                else:
+210                    column_names = [explode_alias]
+211                    to_replace.replace(exp.column(explode_alias))
+212
+213                unnest = exp.alias_(unnest, unnest_source_alias, table=column_names)
+214
+215                if not expression.args.get("from"):
+216                    expression.from_(unnest, copy=False)
+217                else:
+218                    expression.join(unnest, join_type="CROSS", copy=False)
+219
+220    return expression
 
    
 
 
@@ -762,23 +768,23 @@ 
    Returns:
    
 
     
    
     
-            
    220def remove_target_from_merge(expression: exp.Expression) -> exp.Expression:
-221    """Remove table refs from columns in when statements."""
-222    if isinstance(expression, exp.Merge):
-223        alias = expression.this.args.get("alias")
-224        targets = {expression.this.this}
-225        if alias:
-226            targets.add(alias.this)
-227
-228        for when in expression.expressions:
-229            when.transform(
-230                lambda node: exp.column(node.name)
-231                if isinstance(node, exp.Column) and node.args.get("table") in targets
-232                else node,
-233                copy=False,
-234            )
-235
-236    return expression
+            
    223def remove_target_from_merge(expression: exp.Expression) -> exp.Expression:
+224    """Remove table refs from columns in when statements."""
+225    if isinstance(expression, exp.Merge):
+226        alias = expression.this.args.get("alias")
+227        targets = {expression.this.this}
+228        if alias:
+229            targets.add(alias.this)
+230
+231        for when in expression.expressions:
+232            when.transform(
+233                lambda node: exp.column(node.name)
+234                if isinstance(node, exp.Column) and node.args.get("table") in targets
+235                else node,
+236                copy=False,
+237            )
+238
+239    return expression
 
    
 
 
@@ -798,17 +804,17 @@ 
    Returns:
    
 
     
    
     
-            
    239def remove_within_group_for_percentiles(expression: exp.Expression) -> exp.Expression:
-240    if (
-241        isinstance(expression, exp.WithinGroup)
-242        and isinstance(expression.this, (exp.PercentileCont, exp.PercentileDisc))
-243        and isinstance(expression.expression, exp.Order)
-244    ):
-245        quantile = expression.this.this
-246        input_value = t.cast(exp.Ordered, expression.find(exp.Ordered)).this
-247        return expression.replace(exp.ApproxQuantile(this=input_value, quantile=quantile))
-248
-249    return expression
+            
    242def remove_within_group_for_percentiles(expression: exp.Expression) -> exp.Expression:
+243    if (
+244        isinstance(expression, exp.WithinGroup)
+245        and isinstance(expression.this, (exp.PercentileCont, exp.PercentileDisc))
+246        and isinstance(expression.expression, exp.Order)
+247    ):
+248        quantile = expression.this.this
+249        input_value = t.cast(exp.Ordered, expression.find(exp.Ordered)).this
+250        return expression.replace(exp.ApproxQuantile(this=input_value, quantile=quantile))
+251
+252    return expression
 
    
 
 
@@ -826,23 +832,23 @@ 
    Returns:
    
 
     
    
     
-            
    252def add_recursive_cte_column_names(expression: exp.Expression) -> exp.Expression:
-253    if isinstance(expression, exp.With) and expression.recursive:
-254        sequence = itertools.count()
-255        next_name = lambda: f"_c_{next(sequence)}"
-256
-257        for cte in expression.expressions:
-258            if not cte.args["alias"].columns:
-259                query = cte.this
-260                if isinstance(query, exp.Union):
-261                    query = query.this
-262
-263                cte.args["alias"].set(
-264                    "columns",
-265                    [exp.to_identifier(s.alias_or_name or next_name()) for s in query.selects],
-266                )
-267
-268    return expression
+            
    255def add_recursive_cte_column_names(expression: exp.Expression) -> exp.Expression:
+256    if isinstance(expression, exp.With) and expression.recursive:
+257        sequence = itertools.count()
+258        next_name = lambda: f"_c_{next(sequence)}"
+259
+260        for cte in expression.expressions:
+261            if not cte.args["alias"].columns:
+262                query = cte.this
+263                if isinstance(query, exp.Union):
+264                    query = query.this
+265
+266                cte.args["alias"].set(
+267                    "columns",
+268                    [exp.to_identifier(s.alias_or_name or next_name()) for s in query.selects],
+269                )
+270
+271    return expression
 
    
 
 
@@ -860,47 +866,47 @@ 
    Returns:
    
 
     
    
     
-            
    271def preprocess(
-272    transforms: t.List[t.Callable[[exp.Expression], exp.Expression]],
-273) -> t.Callable[[Generator, exp.Expression], str]:
-274    """
-275    Creates a new transform by chaining a sequence of transformations and converts the resulting
-276    expression to SQL, using either the "_sql" method corresponding to the resulting expression,
-277    or the appropriate `Generator.TRANSFORMS` function (when applicable -- see below).
-278
-279    Args:
-280        transforms: sequence of transform functions. These will be called in order.
+            
    274def preprocess(
+275    transforms: t.List[t.Callable[[exp.Expression], exp.Expression]],
+276) -> t.Callable[[Generator, exp.Expression], str]:
+277    """
+278    Creates a new transform by chaining a sequence of transformations and converts the resulting
+279    expression to SQL, using either the "_sql" method corresponding to the resulting expression,
+280    or the appropriate `Generator.TRANSFORMS` function (when applicable -- see below).
 281
-282    Returns:
-283        Function that can be used as a generator transform.
-284    """
-285
-286    def _to_sql(self, expression: exp.Expression) -> str:
-287        expression_type = type(expression)
+282    Args:
+283        transforms: sequence of transform functions. These will be called in order.
+284
+285    Returns:
+286        Function that can be used as a generator transform.
+287    """
 288
-289        expression = transforms[0](expression.copy())
-290        for t in transforms[1:]:
-291            expression = t(expression)
-292
-293        _sql_handler = getattr(self, expression.key + "_sql", None)
-294        if _sql_handler:
-295            return _sql_handler(expression)
-296
-297        transforms_handler = self.TRANSFORMS.get(type(expression))
-298        if transforms_handler:
-299            # Ensures we don't enter an infinite loop. This can happen when the original expression
-300            # has the same type as the final expression and there's no _sql method available for it,
-301            # because then it'd re-enter _to_sql.
-302            if expression_type is type(expression):
-303                raise ValueError(
-304                    f"Expression type {expression.__class__.__name__} requires a _sql method in order to be transformed."
-305                )
-306
-307            return transforms_handler(self, expression)
-308
-309        raise ValueError(f"Unsupported expression type {expression.__class__.__name__}.")
-310
-311    return _to_sql
+289    def _to_sql(self, expression: exp.Expression) -> str:
+290        expression_type = type(expression)
+291
+292        expression = transforms[0](expression.copy())
+293        for t in transforms[1:]:
+294            expression = t(expression)
+295
+296        _sql_handler = getattr(self, expression.key + "_sql", None)
+297        if _sql_handler:
+298            return _sql_handler(expression)
+299
+300        transforms_handler = self.TRANSFORMS.get(type(expression))
+301        if transforms_handler:
+302            # Ensures we don't enter an infinite loop. This can happen when the original expression
+303            # has the same type as the final expression and there's no _sql method available for it,
+304            # because then it'd re-enter _to_sql.
+305            if expression_type is type(expression):
+306                raise ValueError(
+307                    f"Expression type {expression.__class__.__name__} requires a _sql method in order to be transformed."
+308                )
+309
+310            return transforms_handler(self, expression)
+311
+312        raise ValueError(f"Unsupported expression type {expression.__class__.__name__}.")
+313
+314    return _to_sql